fix(ui): special node icon tooltip

Updated by "Cleanup translation files" hook in Weblate.

translationBot(ui): update translation files

Updated by "Cleanup translation files" hook in Weblate.

Co-authored-by: Hosted Weblate <hosted@weblate.org>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/
Translation: InvokeAI/Web UI

docs/nodes/defaultNodes.md

@@ -99,7 +99,6 @@ their descriptions.
 | Scale Latents                                                 | Scales latents by a given factor.                                                                                                                    |
 | Segment Anything Processor                                    | Applies segment anything processing to image                                                                                                         |
 | Show Image                                                    | Displays a provided image, and passes it forward in the pipeline.                                                                                    |
-| Step Param Easing                                             | Experimental per-step parameter easing for denoising steps                                                                                           |
 | String Primitive Collection                                   | A collection of string primitive values                                                                                                              |
 | String Primitive                                              | A string primitive value                                                                                                                             |
 | Subtract Integers                                             | Subtracts two numbers                                                                                                                                |

invokeai/app/invocations/baseinvocation.py

@@ -63,6 +63,7 @@ class Classification(str, Enum, metaclass=MetaEnum):
     - `Prototype`: The invocation is not yet stable and may be removed from the application at any time. Workflows built around this invocation may break, and we are *not* committed to supporting this invocation.
     - `Deprecated`: The invocation is deprecated and may be removed in a future version.
     - `Internal`: The invocation is not intended for use by end-users. It may be changed or removed at any time, but is exposed for users to play with.
+    - `Special`: The invocation is a special case and does not fit into any of the other classifications.
     """
 
     Stable = "stable"
@@ -70,6 +71,7 @@ class Classification(str, Enum, metaclass=MetaEnum):
     Prototype = "prototype"
     Deprecated = "deprecated"
     Internal = "internal"
+    Special = "special"
 
 
 class UIConfigBase(BaseModel):

invokeai/app/invocations/blend_latents.py

@@ -1,98 +1,120 @@
-from typing import Any, Union
+from typing import Optional, Union
 
 import numpy as np
-import numpy.typing as npt
 import torch
+import torchvision.transforms as T
+from PIL import Image
+from torchvision.transforms.functional import resize as tv_resize
 
 from invokeai.app.invocations.baseinvocation import BaseInvocation, invocation
-from invokeai.app.invocations.fields import FieldDescriptions, Input, InputField, LatentsField
+from invokeai.app.invocations.fields import FieldDescriptions, ImageField, Input, InputField, LatentsField
 from invokeai.app.invocations.primitives import LatentsOutput
 from invokeai.app.services.shared.invocation_context import InvocationContext
+from invokeai.backend.stable_diffusion.diffusers_pipeline import image_resized_to_grid_as_tensor
 from invokeai.backend.util.devices import TorchDevice
 
 
+def slerp(
+    t: Union[float, np.ndarray],
+    v0: Union[torch.Tensor, np.ndarray],
+    v1: Union[torch.Tensor, np.ndarray],
+    device: torch.device,
+    DOT_THRESHOLD: float = 0.9995,
+):
+    """
+    Spherical linear interpolation
+    Args:
+        t (float/np.ndarray): Float value between 0.0 and 1.0
+        v0 (np.ndarray): Starting vector
+        v1 (np.ndarray): Final vector
+        DOT_THRESHOLD (float): Threshold for considering the two vectors as
+                            colineal. Not recommended to alter this.
+    Returns:
+        v2 (np.ndarray): Interpolation vector between v0 and v1
+    """
+    inputs_are_torch = False
+    if not isinstance(v0, np.ndarray):
+        inputs_are_torch = True
+        v0 = v0.detach().cpu().numpy()
+    if not isinstance(v1, np.ndarray):
+        inputs_are_torch = True
+        v1 = v1.detach().cpu().numpy()
+
+    dot = np.sum(v0 * v1 / (np.linalg.norm(v0) * np.linalg.norm(v1)))
+    if np.abs(dot) > DOT_THRESHOLD:
+        v2 = (1 - t) * v0 + t * v1
+    else:
+        theta_0 = np.arccos(dot)
+        sin_theta_0 = np.sin(theta_0)
+        theta_t = theta_0 * t
+        sin_theta_t = np.sin(theta_t)
+        s0 = np.sin(theta_0 - theta_t) / sin_theta_0
+        s1 = sin_theta_t / sin_theta_0
+        v2 = s0 * v0 + s1 * v1
+
+    if inputs_are_torch:
+        v2 = torch.from_numpy(v2).to(device)
+
+    return v2
+
+
 @invocation(
     "lblend",
     title="Blend Latents",
-    tags=["latents", "blend"],
+    tags=["latents", "blend", "mask"],
     category="latents",
-    version="1.0.3",
+    version="1.1.0",
 )
 class BlendLatentsInvocation(BaseInvocation):
-    """Blend two latents using a given alpha. Latents must have same size."""
+    """Blend two latents using a given alpha. If a mask is provided, the second latents will be masked before blending.
+    Latents must have same size. Masking functionality added by @dwringer."""
 
-    latents_a: LatentsField = InputField(
-        description=FieldDescriptions.latents,
-        input=Input.Connection,
-    )
-    latents_b: LatentsField = InputField(
-        description=FieldDescriptions.latents,
-        input=Input.Connection,
-    )
-    alpha: float = InputField(default=0.5, description=FieldDescriptions.blend_alpha)
+    latents_a: LatentsField = InputField(description=FieldDescriptions.latents, input=Input.Connection)
+    latents_b: LatentsField = InputField(description=FieldDescriptions.latents, input=Input.Connection)
+    mask: Optional[ImageField] = InputField(default=None, description="Mask for blending in latents B")
+    alpha: float = InputField(ge=0, default=0.5, description=FieldDescriptions.blend_alpha)
+
+    def prep_mask_tensor(self, mask_image: Image.Image) -> torch.Tensor:
+        if mask_image.mode != "L":
+            mask_image = mask_image.convert("L")
+        mask_tensor = image_resized_to_grid_as_tensor(mask_image, normalize=False)
+        if mask_tensor.dim() == 3:
+            mask_tensor = mask_tensor.unsqueeze(0)
+        return mask_tensor
+
+    def replace_tensor_from_masked_tensor(
+        self, tensor: torch.Tensor, other_tensor: torch.Tensor, mask_tensor: torch.Tensor
+    ):
+        output = tensor.clone()
+        mask_tensor = mask_tensor.expand(output.shape)
+        if output.dtype != torch.float16:
+            output = torch.add(output, mask_tensor * torch.sub(other_tensor, tensor))
+        else:
+            output = torch.add(output, mask_tensor.half() * torch.sub(other_tensor, tensor))
+        return output
 
     def invoke(self, context: InvocationContext) -> LatentsOutput:
         latents_a = context.tensors.load(self.latents_a.latents_name)
         latents_b = context.tensors.load(self.latents_b.latents_name)
+        if self.mask is None:
+            mask_tensor = torch.zeros(latents_a.shape[-2:])
+        else:
+            mask_tensor = self.prep_mask_tensor(context.images.get_pil(self.mask.image_name))
+            mask_tensor = tv_resize(mask_tensor, latents_a.shape[-2:], T.InterpolationMode.BILINEAR, antialias=False)
+
+        latents_b = self.replace_tensor_from_masked_tensor(latents_b, latents_a, mask_tensor)
 
         if latents_a.shape != latents_b.shape:
-            raise Exception("Latents to blend must be the same size.")
+            raise ValueError("Latents to blend must be the same size.")
 
         device = TorchDevice.choose_torch_device()
 
-        def slerp(
-            t: Union[float, npt.NDArray[Any]],  # FIXME: maybe use np.float32 here?
-            v0: Union[torch.Tensor, npt.NDArray[Any]],
-            v1: Union[torch.Tensor, npt.NDArray[Any]],
-            DOT_THRESHOLD: float = 0.9995,
-        ) -> Union[torch.Tensor, npt.NDArray[Any]]:
-            """
-            Spherical linear interpolation
-            Args:
-                t (float/np.ndarray): Float value between 0.0 and 1.0
-                v0 (np.ndarray): Starting vector
-                v1 (np.ndarray): Final vector
-                DOT_THRESHOLD (float): Threshold for considering the two vectors as
-                                    colineal. Not recommended to alter this.
-            Returns:
-                v2 (np.ndarray): Interpolation vector between v0 and v1
-            """
-            inputs_are_torch = False
-            if not isinstance(v0, np.ndarray):
-                inputs_are_torch = True
-                v0 = v0.detach().cpu().numpy()
-            if not isinstance(v1, np.ndarray):
-                inputs_are_torch = True
-                v1 = v1.detach().cpu().numpy()
-
-            dot = np.sum(v0 * v1 / (np.linalg.norm(v0) * np.linalg.norm(v1)))
-            if np.abs(dot) > DOT_THRESHOLD:
-                v2 = (1 - t) * v0 + t * v1
-            else:
-                theta_0 = np.arccos(dot)
-                sin_theta_0 = np.sin(theta_0)
-                theta_t = theta_0 * t
-                sin_theta_t = np.sin(theta_t)
-                s0 = np.sin(theta_0 - theta_t) / sin_theta_0
-                s1 = sin_theta_t / sin_theta_0
-                v2 = s0 * v0 + s1 * v1
-
-            if inputs_are_torch:
-                v2_torch: torch.Tensor = torch.from_numpy(v2).to(device)
-                return v2_torch
-            else:
-                assert isinstance(v2, np.ndarray)
-                return v2
-
         # blend
-        bl = slerp(self.alpha, latents_a, latents_b)
-        assert isinstance(bl, torch.Tensor)
-        blended_latents: torch.Tensor = bl  # for type checking convenience
+        blended_latents = slerp(self.alpha, latents_a, latents_b, device)
 
         # https://discuss.huggingface.co/t/memory-usage-by-later-pipeline-stages/23699
         blended_latents = blended_latents.to("cpu")
-
-        TorchDevice.empty_cache()
+        torch.cuda.empty_cache()
 
         name = context.tensors.save(tensor=blended_latents)
-        return LatentsOutput.build(latents_name=name, latents=blended_latents, seed=self.latents_a.seed)
+        return LatentsOutput.build(latents_name=name, latents=blended_latents)

invokeai/app/invocations/param_easing.py

@@ -1,43 +1,4 @@
-import io
-from typing import Literal, Optional
-
-import matplotlib.pyplot as plt
 import numpy as np
-import PIL.Image
-from easing_functions import (
-    BackEaseIn,
-    BackEaseInOut,
-    BackEaseOut,
-    BounceEaseIn,
-    BounceEaseInOut,
-    BounceEaseOut,
-    CircularEaseIn,
-    CircularEaseInOut,
-    CircularEaseOut,
-    CubicEaseIn,
-    CubicEaseInOut,
-    CubicEaseOut,
-    ElasticEaseIn,
-    ElasticEaseInOut,
-    ElasticEaseOut,
-    ExponentialEaseIn,
-    ExponentialEaseInOut,
-    ExponentialEaseOut,
-    LinearInOut,
-    QuadEaseIn,
-    QuadEaseInOut,
-    QuadEaseOut,
-    QuarticEaseIn,
-    QuarticEaseInOut,
-    QuarticEaseOut,
-    QuinticEaseIn,
-    QuinticEaseInOut,
-    QuinticEaseOut,
-    SineEaseIn,
-    SineEaseInOut,
-    SineEaseOut,
-)
-from matplotlib.ticker import MaxNLocator
 
 from invokeai.app.invocations.baseinvocation import BaseInvocation, invocation
 from invokeai.app.invocations.fields import InputField
@@ -65,191 +26,3 @@ class FloatLinearRangeInvocation(BaseInvocation):
     def invoke(self, context: InvocationContext) -> FloatCollectionOutput:
         param_list = list(np.linspace(self.start, self.stop, self.steps))
         return FloatCollectionOutput(collection=param_list)
-
-
-EASING_FUNCTIONS_MAP = {
-    "Linear": LinearInOut,
-    "QuadIn": QuadEaseIn,
-    "QuadOut": QuadEaseOut,
-    "QuadInOut": QuadEaseInOut,
-    "CubicIn": CubicEaseIn,
-    "CubicOut": CubicEaseOut,
-    "CubicInOut": CubicEaseInOut,
-    "QuarticIn": QuarticEaseIn,
-    "QuarticOut": QuarticEaseOut,
-    "QuarticInOut": QuarticEaseInOut,
-    "QuinticIn": QuinticEaseIn,
-    "QuinticOut": QuinticEaseOut,
-    "QuinticInOut": QuinticEaseInOut,
-    "SineIn": SineEaseIn,
-    "SineOut": SineEaseOut,
-    "SineInOut": SineEaseInOut,
-    "CircularIn": CircularEaseIn,
-    "CircularOut": CircularEaseOut,
-    "CircularInOut": CircularEaseInOut,
-    "ExponentialIn": ExponentialEaseIn,
-    "ExponentialOut": ExponentialEaseOut,
-    "ExponentialInOut": ExponentialEaseInOut,
-    "ElasticIn": ElasticEaseIn,
-    "ElasticOut": ElasticEaseOut,
-    "ElasticInOut": ElasticEaseInOut,
-    "BackIn": BackEaseIn,
-    "BackOut": BackEaseOut,
-    "BackInOut": BackEaseInOut,
-    "BounceIn": BounceEaseIn,
-    "BounceOut": BounceEaseOut,
-    "BounceInOut": BounceEaseInOut,
-}
-
-EASING_FUNCTION_KEYS = Literal[tuple(EASING_FUNCTIONS_MAP.keys())]
-
-
-# actually I think for now could just use CollectionOutput (which is list[Any]
-@invocation(
-    "step_param_easing",
-    title="Step Param Easing",
-    tags=["step", "easing"],
-    category="step",
-    version="1.0.2",
-)
-class StepParamEasingInvocation(BaseInvocation):
-    """Experimental per-step parameter easing for denoising steps"""
-
-    easing: EASING_FUNCTION_KEYS = InputField(default="Linear", description="The easing function to use")
-    num_steps: int = InputField(default=20, description="number of denoising steps")
-    start_value: float = InputField(default=0.0, description="easing starting value")
-    end_value: float = InputField(default=1.0, description="easing ending value")
-    start_step_percent: float = InputField(default=0.0, description="fraction of steps at which to start easing")
-    end_step_percent: float = InputField(default=1.0, description="fraction of steps after which to end easing")
-    # if None, then start_value is used prior to easing start
-    pre_start_value: Optional[float] = InputField(default=None, description="value before easing start")
-    # if None, then end value is used prior to easing end
-    post_end_value: Optional[float] = InputField(default=None, description="value after easing end")
-    mirror: bool = InputField(default=False, description="include mirror of easing function")
-    # FIXME: add alt_mirror option (alternative to default or mirror), or remove entirely
-    # alt_mirror: bool = InputField(default=False, description="alternative mirroring by dual easing")
-    show_easing_plot: bool = InputField(default=False, description="show easing plot")
-
-    def invoke(self, context: InvocationContext) -> FloatCollectionOutput:
-        log_diagnostics = False
-        # convert from start_step_percent to nearest step <= (steps * start_step_percent)
-        # start_step = int(np.floor(self.num_steps * self.start_step_percent))
-        start_step = int(np.round(self.num_steps * self.start_step_percent))
-        # convert from end_step_percent to nearest step >= (steps * end_step_percent)
-        # end_step = int(np.ceil((self.num_steps - 1) * self.end_step_percent))
-        end_step = int(np.round((self.num_steps - 1) * self.end_step_percent))
-
-        # end_step = int(np.ceil(self.num_steps * self.end_step_percent))
-        num_easing_steps = end_step - start_step + 1
-
-        # num_presteps = max(start_step - 1, 0)
-        num_presteps = start_step
-        num_poststeps = self.num_steps - (num_presteps + num_easing_steps)
-        prelist = list(num_presteps * [self.pre_start_value])
-        postlist = list(num_poststeps * [self.post_end_value])
-
-        if log_diagnostics:
-            context.logger.debug("start_step: " + str(start_step))
-            context.logger.debug("end_step: " + str(end_step))
-            context.logger.debug("num_easing_steps: " + str(num_easing_steps))
-            context.logger.debug("num_presteps: " + str(num_presteps))
-            context.logger.debug("num_poststeps: " + str(num_poststeps))
-            context.logger.debug("prelist size: " + str(len(prelist)))
-            context.logger.debug("postlist size: " + str(len(postlist)))
-            context.logger.debug("prelist: " + str(prelist))
-            context.logger.debug("postlist: " + str(postlist))
-
-        easing_class = EASING_FUNCTIONS_MAP[self.easing]
-        if log_diagnostics:
-            context.logger.debug("easing class: " + str(easing_class))
-        easing_list = []
-        if self.mirror:  # "expected" mirroring
-            # if number of steps is even, squeeze duration down to (number_of_steps)/2
-            # and create reverse copy of list to append
-            # if number of steps is odd, squeeze duration down to ceil(number_of_steps/2)
-            # and create reverse copy of list[1:end-1]
-            # but if even then number_of_steps/2 === ceil(number_of_steps/2), so can just use ceil always
-
-            base_easing_duration = int(np.ceil(num_easing_steps / 2.0))
-            if log_diagnostics:
-                context.logger.debug("base easing duration: " + str(base_easing_duration))
-            even_num_steps = num_easing_steps % 2 == 0  # even number of steps
-            easing_function = easing_class(
-                start=self.start_value,
-                end=self.end_value,
-                duration=base_easing_duration - 1,
-            )
-            base_easing_vals = []
-            for step_index in range(base_easing_duration):
-                easing_val = easing_function.ease(step_index)
-                base_easing_vals.append(easing_val)
-                if log_diagnostics:
-                    context.logger.debug("step_index: " + str(step_index) + ", easing_val: " + str(easing_val))
-            if even_num_steps:
-                mirror_easing_vals = list(reversed(base_easing_vals))
-            else:
-                mirror_easing_vals = list(reversed(base_easing_vals[0:-1]))
-            if log_diagnostics:
-                context.logger.debug("base easing vals: " + str(base_easing_vals))
-                context.logger.debug("mirror easing vals: " + str(mirror_easing_vals))
-            easing_list = base_easing_vals + mirror_easing_vals
-
-        # FIXME: add alt_mirror option (alternative to default or mirror), or remove entirely
-        # elif self.alt_mirror:  # function mirroring (unintuitive behavior (at least to me))
-        #     # half_ease_duration = round(num_easing_steps - 1 / 2)
-        #     half_ease_duration = round((num_easing_steps - 1) / 2)
-        #     easing_function = easing_class(start=self.start_value,
-        #                                    end=self.end_value,
-        #                                    duration=half_ease_duration,
-        #                                    )
-        #
-        #     mirror_function = easing_class(start=self.end_value,
-        #                                    end=self.start_value,
-        #                                    duration=half_ease_duration,
-        #                                    )
-        #     for step_index in range(num_easing_steps):
-        #         if step_index <= half_ease_duration:
-        #             step_val = easing_function.ease(step_index)
-        #         else:
-        #             step_val = mirror_function.ease(step_index - half_ease_duration)
-        #         easing_list.append(step_val)
-        #         if log_diagnostics: logger.debug(step_index, step_val)
-        #
-
-        else:  # no mirroring (default)
-            easing_function = easing_class(
-                start=self.start_value,
-                end=self.end_value,
-                duration=num_easing_steps - 1,
-            )
-            for step_index in range(num_easing_steps):
-                step_val = easing_function.ease(step_index)
-                easing_list.append(step_val)
-                if log_diagnostics:
-                    context.logger.debug("step_index: " + str(step_index) + ", easing_val: " + str(step_val))
-
-        if log_diagnostics:
-            context.logger.debug("prelist size: " + str(len(prelist)))
-            context.logger.debug("easing_list size: " + str(len(easing_list)))
-            context.logger.debug("postlist size: " + str(len(postlist)))
-
-        param_list = prelist + easing_list + postlist
-
-        if self.show_easing_plot:
-            plt.figure()
-            plt.xlabel("Step")
-            plt.ylabel("Param Value")
-            plt.title("Per-Step Values Based On Easing: " + self.easing)
-            plt.bar(range(len(param_list)), param_list)
-            # plt.plot(param_list)
-            ax = plt.gca()
-            ax.xaxis.set_major_locator(MaxNLocator(integer=True))
-            buf = io.BytesIO()
-            plt.savefig(buf, format="png")
-            buf.seek(0)
-            im = PIL.Image.open(buf)
-            im.show()
-            buf.close()
-
-        # output array of size steps, each entry list[i] is param value for step i
-        return FloatCollectionOutput(collection=param_list)

invokeai/app/invocations/primitives.py

@@ -4,7 +4,13 @@ from typing import Optional
 
 import torch
 
-from invokeai.app.invocations.baseinvocation import BaseInvocation, BaseInvocationOutput, invocation, invocation_output
+from invokeai.app.invocations.baseinvocation import (
+    BaseInvocation,
+    BaseInvocationOutput,
+    Classification,
+    invocation,
+    invocation_output,
+)
 from invokeai.app.invocations.constants import LATENT_SCALE_FACTOR
 from invokeai.app.invocations.fields import (
     BoundingBoxField,
@@ -533,3 +539,23 @@ class BoundingBoxInvocation(BaseInvocation):
 
 
 # endregion
+
+
+@invocation(
+    "image_batch",
+    title="Image Batch",
+    tags=["primitives", "image", "batch", "internal"],
+    category="primitives",
+    version="1.0.0",
+    classification=Classification.Special,
+)
+class ImageBatchInvocation(BaseInvocation):
+    """Create a batched generation, where the workflow is executed once for each image in the batch."""
+
+    images: list[ImageField] = InputField(min_length=1, description="The images to batch over", input=Input.Direct)
+
+    def __init__(self):
+        raise NotImplementedError("This class should never be executed or instantiated directly.")
+
+    def invoke(self, context: InvocationContext) -> ImageOutput:
+        raise NotImplementedError("This class should never be executed or instantiated directly.")

invokeai/app/services/session_queue/session_queue_common.py

@@ -16,6 +16,7 @@ from pydantic import (
 from pydantic_core import to_jsonable_python
 
 from invokeai.app.invocations.baseinvocation import BaseInvocation
+from invokeai.app.invocations.fields import ImageField
 from invokeai.app.services.shared.graph import Graph, GraphExecutionState, NodeNotFoundError
 from invokeai.app.services.workflow_records.workflow_records_common import (
     WorkflowWithoutID,
@@ -51,11 +52,7 @@ class SessionQueueItemNotFoundError(ValueError):
 
 # region Batch
 
-BatchDataType = Union[
-    StrictStr,
-    float,
-    int,
-]
+BatchDataType = Union[StrictStr, float, int, ImageField]
 
 
 class NodeFieldValue(BaseModel):

invokeai/backend/flux/ip_adapter/state_dict_utils.py

@@ -41,10 +41,12 @@ def infer_xlabs_ip_adapter_params_from_state_dict(state_dict: dict[str, torch.Te
     hidden_dim = state_dict["double_blocks.0.processor.ip_adapter_double_stream_k_proj.weight"].shape[0]
     context_dim = state_dict["double_blocks.0.processor.ip_adapter_double_stream_k_proj.weight"].shape[1]
     clip_embeddings_dim = state_dict["ip_adapter_proj_model.proj.weight"].shape[1]
+    clip_extra_context_tokens = state_dict["ip_adapter_proj_model.proj.weight"].shape[0] // context_dim
 
     return XlabsIpAdapterParams(
         num_double_blocks=num_double_blocks,
         context_dim=context_dim,
         hidden_dim=hidden_dim,
         clip_embeddings_dim=clip_embeddings_dim,
+        clip_extra_context_tokens=clip_extra_context_tokens,
     )

invokeai/backend/flux/ip_adapter/xlabs_ip_adapter_flux.py

@@ -31,13 +31,16 @@ class XlabsIpAdapterParams:
     hidden_dim: int
 
     clip_embeddings_dim: int
+    clip_extra_context_tokens: int
 
 
 class XlabsIpAdapterFlux(torch.nn.Module):
     def __init__(self, params: XlabsIpAdapterParams):
         super().__init__()
         self.image_proj = ImageProjModel(
-            cross_attention_dim=params.context_dim, clip_embeddings_dim=params.clip_embeddings_dim
+            cross_attention_dim=params.context_dim,
+            clip_embeddings_dim=params.clip_embeddings_dim,
+            clip_extra_context_tokens=params.clip_extra_context_tokens,
         )
         self.ip_adapter_double_blocks = IPAdapterDoubleBlocks(
             num_double_blocks=params.num_double_blocks, context_dim=params.context_dim, hidden_dim=params.hidden_dim

invokeai/backend/model_manager/starter_models.py

@@ -298,13 +298,12 @@ ip_adapter_sdxl = StarterModel(
     previous_names=["IP Adapter SDXL"],
 )
 ip_adapter_flux = StarterModel(
-    name="Standard Reference (XLabs FLUX IP-Adapter)",
+    name="Standard Reference (XLabs FLUX IP-Adapter v2)",
     base=BaseModelType.Flux,
-    source="https://huggingface.co/XLabs-AI/flux-ip-adapter/resolve/main/ip_adapter.safetensors",
+    source="https://huggingface.co/XLabs-AI/flux-ip-adapter-v2/resolve/main/ip_adapter.safetensors",
     description="References images with a more generalized/looser degree of precision.",
     type=ModelType.IPAdapter,
     dependencies=[clip_vit_l_image_encoder],
-    previous_names=["XLabs FLUX IP-Adapter"],
 )
 # endregion
 # region ControlNet

invokeai/frontend/web/package.json

@@ -58,7 +58,7 @@
     "@dagrejs/dagre": "^1.1.4",
     "@dagrejs/graphlib": "^2.2.4",
     "@fontsource-variable/inter": "^5.1.0",
-    "@invoke-ai/ui-library": "^0.0.43",
+    "@invoke-ai/ui-library": "^0.0.44",
     "@nanostores/react": "^0.7.3",
     "@reduxjs/toolkit": "2.2.3",
     "@roarr/browser-log-writer": "^1.3.0",

invokeai/frontend/web/pnpm-lock.yaml

@@ -24,8 +24,8 @@ dependencies:
     specifier: ^5.1.0
     version: 5.1.0
   '@invoke-ai/ui-library':
-    specifier: ^0.0.43
-    version: 0.0.43(@chakra-ui/form-control@2.2.0)(@chakra-ui/icon@3.2.0)(@chakra-ui/media-query@3.3.0)(@chakra-ui/menu@2.2.1)(@chakra-ui/spinner@2.1.0)(@chakra-ui/system@2.6.2)(@fontsource-variable/inter@5.1.0)(@types/react@18.3.11)(i18next@23.15.1)(react-dom@18.3.1)(react@18.3.1)
+    specifier: ^0.0.44
+    version: 0.0.44(@chakra-ui/form-control@2.2.0)(@chakra-ui/icon@3.2.0)(@chakra-ui/media-query@3.3.0)(@chakra-ui/menu@2.2.1)(@chakra-ui/spinner@2.1.0)(@chakra-ui/system@2.6.2)(@fontsource-variable/inter@5.1.0)(@types/react@18.3.11)(i18next@23.15.1)(react-dom@18.3.1)(react@18.3.1)
   '@nanostores/react':
     specifier: ^0.7.3
     version: 0.7.3(nanostores@0.11.3)(react@18.3.1)
@@ -515,8 +515,8 @@ packages:
     resolution: {integrity: sha512-MV6D4VLRIHr4PkW4zMyqfrNS1mPlCTiCXwvYGtDFQYr+xHFfonhAuf9WjsSc0nyp2m0OdkSLnzmVKkZFLo25Tg==}
     dev: false
 
-  /@chakra-ui/anatomy@2.3.4:
-    resolution: {integrity: sha512-fFIYN7L276gw0Q7/ikMMlZxP7mvnjRaWJ7f3Jsf9VtDOi6eAYIBRrhQe6+SZ0PGmoOkRaBc7gSE5oeIbgFFyrw==}
+  /@chakra-ui/anatomy@2.3.5:
+    resolution: {integrity: sha512-3im33cUOxCbISjaBlINE2u8BOwJSCdzpjCX0H+0JxK2xz26UaVA5xeI3NYHUoxDnr/QIrgfrllGxS0szYwOcyg==}
     dev: false
 
   /@chakra-ui/breakpoint-utils@2.0.8:
@@ -573,12 +573,12 @@ packages:
       react: 18.3.1
     dev: false
 
-  /@chakra-ui/hooks@2.4.2(react@18.3.1):
-    resolution: {integrity: sha512-LRKiVE1oA7afT5tbbSKAy7Uas2xFHE6IkrQdbhWCHmkHBUtPvjQQDgwtnd4IRZPmoEfNGwoJ/MQpwOM/NRTTwA==}
+  /@chakra-ui/hooks@2.4.3(react@18.3.1):
+    resolution: {integrity: sha512-Sr2zsoTZw3p7HbrUy4aLpTIkE2XXUelAUgg3NGwMzrmx75bE0qVyiuuTFOuyEzGxYVV2Fe8QtcKKilm6RwzTGg==}
     peerDependencies:
       react: '>=18'
     dependencies:
-      '@chakra-ui/utils': 2.2.2(react@18.3.1)
+      '@chakra-ui/utils': 2.2.3(react@18.3.1)
       '@zag-js/element-size': 0.31.1
       copy-to-clipboard: 3.3.3
       framesync: 6.1.2
@@ -596,13 +596,13 @@ packages:
       react: 18.3.1
     dev: false
 
-  /@chakra-ui/icons@2.2.4(@chakra-ui/react@2.10.2)(react@18.3.1):
+  /@chakra-ui/icons@2.2.4(@chakra-ui/react@2.10.4)(react@18.3.1):
     resolution: {integrity: sha512-l5QdBgwrAg3Sc2BRqtNkJpfuLw/pWRDwwT58J6c4PqQT6wzXxyNa8Q0PForu1ltB5qEiFb1kxr/F/HO1EwNa6g==}
     peerDependencies:
       '@chakra-ui/react': '>=2.0.0'
       react: '>=18'
     dependencies:
-      '@chakra-ui/react': 2.10.2(@emotion/react@11.13.3)(@emotion/styled@11.13.0)(@types/react@18.3.11)(framer-motion@11.10.0)(react-dom@18.3.1)(react@18.3.1)
+      '@chakra-ui/react': 2.10.4(@emotion/react@11.13.3)(@emotion/styled@11.13.0)(@types/react@18.3.11)(framer-motion@11.10.0)(react-dom@18.3.1)(react@18.3.1)
       react: 18.3.1
     dev: false
 
@@ -825,8 +825,8 @@ packages:
       react: 18.3.1
     dev: false
 
-  /@chakra-ui/react@2.10.2(@emotion/react@11.13.3)(@emotion/styled@11.13.0)(@types/react@18.3.11)(framer-motion@11.10.0)(react-dom@18.3.1)(react@18.3.1):
-    resolution: {integrity: sha512-TfIHTqTlxTHYJZBtpiR5EZasPUrLYKJxdbHkdOJb5G1OQ+2c5kKl5XA7c2pMtsEptzb7KxAAIB62t3hxdfWp1w==}
+  /@chakra-ui/react@2.10.4(@emotion/react@11.13.3)(@emotion/styled@11.13.0)(@types/react@18.3.11)(framer-motion@11.10.0)(react-dom@18.3.1)(react@18.3.1):
+    resolution: {integrity: sha512-XyRWnuZ1Uw7Mlj5pKUGO5/WhnIHP/EOrpy6lGZC1yWlkd0eIfIpYMZ1ALTZx4KPEdbBaes48dgiMT2ROCqLhkA==}
     peerDependencies:
       '@emotion/react': '>=11'
       '@emotion/styled': '>=11'
@@ -834,10 +834,10 @@ packages:
       react: '>=18'
       react-dom: '>=18'
     dependencies:
-      '@chakra-ui/hooks': 2.4.2(react@18.3.1)
-      '@chakra-ui/styled-system': 2.11.2(react@18.3.1)
-      '@chakra-ui/theme': 3.4.6(@chakra-ui/styled-system@2.11.2)(react@18.3.1)
-      '@chakra-ui/utils': 2.2.2(react@18.3.1)
+      '@chakra-ui/hooks': 2.4.3(react@18.3.1)
+      '@chakra-ui/styled-system': 2.12.1(react@18.3.1)
+      '@chakra-ui/theme': 3.4.7(@chakra-ui/styled-system@2.12.1)(react@18.3.1)
+      '@chakra-ui/utils': 2.2.3(react@18.3.1)
       '@emotion/react': 11.13.3(@types/react@18.3.11)(react@18.3.1)
       '@emotion/styled': 11.13.0(@emotion/react@11.13.3)(@types/react@18.3.11)(react@18.3.1)
       '@popperjs/core': 2.11.8
@@ -868,10 +868,10 @@ packages:
       react: 18.3.1
     dev: false
 
-  /@chakra-ui/styled-system@2.11.2(react@18.3.1):
-    resolution: {integrity: sha512-y++z2Uop+hjfZX9mbH88F1ikazPv32asD2er56zMJBemUAzweXnHTpiCQbluEDSUDhqmghVZAdb+5L4XLbsRxA==}
+  /@chakra-ui/styled-system@2.12.1(react@18.3.1):
+    resolution: {integrity: sha512-DQph1nDiCPtgze7nDe0a36530ByXb5VpPosKGyWMvKocVeZJcDtYG6XM0+V5a0wKuFBXsViBBRIFUTiUesJAcg==}
     dependencies:
-      '@chakra-ui/utils': 2.2.2(react@18.3.1)
+      '@chakra-ui/utils': 2.2.3(react@18.3.1)
       csstype: 3.1.3
     transitivePeerDependencies:
       - react
@@ -915,14 +915,14 @@ packages:
       color2k: 2.0.3
     dev: false
 
-  /@chakra-ui/theme-tools@2.2.6(@chakra-ui/styled-system@2.11.2)(react@18.3.1):
-    resolution: {integrity: sha512-3UhKPyzKbV3l/bg1iQN9PBvffYp+EBOoYMUaeTUdieQRPFzo2jbYR0lNCxqv8h5aGM/k54nCHU2M/GStyi9F2A==}
+  /@chakra-ui/theme-tools@2.2.7(@chakra-ui/styled-system@2.12.1)(react@18.3.1):
+    resolution: {integrity: sha512-K/VJd0QcnKik7m+qZTkggqNLep6+MPUu8IP5TUpHsnSM5R/RVjsJIR7gO8IZVAIMIGLLTIhGshHxeMekqv6LcQ==}
     peerDependencies:
       '@chakra-ui/styled-system': '>=2.0.0'
     dependencies:
-      '@chakra-ui/anatomy': 2.3.4
-      '@chakra-ui/styled-system': 2.11.2(react@18.3.1)
-      '@chakra-ui/utils': 2.2.2(react@18.3.1)
+      '@chakra-ui/anatomy': 2.3.5
+      '@chakra-ui/styled-system': 2.12.1(react@18.3.1)
+      '@chakra-ui/utils': 2.2.3(react@18.3.1)
       color2k: 2.0.3
     transitivePeerDependencies:
       - react
@@ -948,15 +948,15 @@ packages:
       '@chakra-ui/theme-tools': 2.1.2(@chakra-ui/styled-system@2.9.2)
     dev: false
 
-  /@chakra-ui/theme@3.4.6(@chakra-ui/styled-system@2.11.2)(react@18.3.1):
-    resolution: {integrity: sha512-ZwFBLfiMC3URwaO31ONXoKH9k0TX0OW3UjdPF3EQkQpYyrk/fm36GkkzajjtdpWEd7rzDLRsQjPmvwNaSoNDtg==}
+  /@chakra-ui/theme@3.4.7(@chakra-ui/styled-system@2.12.1)(react@18.3.1):
+    resolution: {integrity: sha512-pfewthgZTFNUYeUwGvhPQO/FTIyf375cFV1AT8N1y0aJiw4KDe7YTGm7p0aFy4AwAjH2ydMgeEx/lua4tx8qyQ==}
     peerDependencies:
       '@chakra-ui/styled-system': '>=2.8.0'
     dependencies:
-      '@chakra-ui/anatomy': 2.3.4
-      '@chakra-ui/styled-system': 2.11.2(react@18.3.1)
-      '@chakra-ui/theme-tools': 2.2.6(@chakra-ui/styled-system@2.11.2)(react@18.3.1)
-      '@chakra-ui/utils': 2.2.2(react@18.3.1)
+      '@chakra-ui/anatomy': 2.3.5
+      '@chakra-ui/styled-system': 2.12.1(react@18.3.1)
+      '@chakra-ui/theme-tools': 2.2.7(@chakra-ui/styled-system@2.12.1)(react@18.3.1)
+      '@chakra-ui/utils': 2.2.3(react@18.3.1)
     transitivePeerDependencies:
       - react
     dev: false
@@ -981,8 +981,8 @@ packages:
       lodash.mergewith: 4.6.2
     dev: false
 
-  /@chakra-ui/utils@2.2.2(react@18.3.1):
-    resolution: {integrity: sha512-jUPLT0JzRMWxpdzH6c+t0YMJYrvc5CLericgITV3zDSXblkfx3DsYXqU11DJTSGZI9dUKzM1Wd0Wswn4eJwvFQ==}
+  /@chakra-ui/utils@2.2.3(react@18.3.1):
+    resolution: {integrity: sha512-cldoCQuexZ6e07/9hWHKD4l1QXXlM1Nax9tuQOBvVf/EgwNZt3nZu8zZRDFlhAOKCTQDkmpLTTu+eXXjChNQOw==}
     peerDependencies:
       react: '>=16.8.0'
     dependencies:
@@ -1675,20 +1675,20 @@ packages:
       prettier: 3.3.3
     dev: true
 
-  /@invoke-ai/ui-library@0.0.43(@chakra-ui/form-control@2.2.0)(@chakra-ui/icon@3.2.0)(@chakra-ui/media-query@3.3.0)(@chakra-ui/menu@2.2.1)(@chakra-ui/spinner@2.1.0)(@chakra-ui/system@2.6.2)(@fontsource-variable/inter@5.1.0)(@types/react@18.3.11)(i18next@23.15.1)(react-dom@18.3.1)(react@18.3.1):
-    resolution: {integrity: sha512-t3fPYyks07ue3dEBPJuTHbeDLnDckDCOrtvc07mMDbLOnlPEZ0StaeiNGH+oO8qLzAuMAlSTdswgHfzTc2MmPw==}
+  /@invoke-ai/ui-library@0.0.44(@chakra-ui/form-control@2.2.0)(@chakra-ui/icon@3.2.0)(@chakra-ui/media-query@3.3.0)(@chakra-ui/menu@2.2.1)(@chakra-ui/spinner@2.1.0)(@chakra-ui/system@2.6.2)(@fontsource-variable/inter@5.1.0)(@types/react@18.3.11)(i18next@23.15.1)(react-dom@18.3.1)(react@18.3.1):
+    resolution: {integrity: sha512-PDseHmdr8oi8cmrpx3UwIYHn4NduAJX2R0pM0pyM54xrCMPMgYiCbC/eOs8Gt4fBc2ziiPZ9UGoW4evnE3YJsg==}
     peerDependencies:
       '@fontsource-variable/inter': ^5.0.16
       react: ^18.2.0
       react-dom: ^18.2.0
     dependencies:
-      '@chakra-ui/anatomy': 2.3.4
-      '@chakra-ui/icons': 2.2.4(@chakra-ui/react@2.10.2)(react@18.3.1)
+      '@chakra-ui/anatomy': 2.2.2
+      '@chakra-ui/icons': 2.2.4(@chakra-ui/react@2.10.4)(react@18.3.1)
       '@chakra-ui/layout': 2.3.1(@chakra-ui/system@2.6.2)(react@18.3.1)
       '@chakra-ui/portal': 2.1.0(react-dom@18.3.1)(react@18.3.1)
-      '@chakra-ui/react': 2.10.2(@emotion/react@11.13.3)(@emotion/styled@11.13.0)(@types/react@18.3.11)(framer-motion@11.10.0)(react-dom@18.3.1)(react@18.3.1)
-      '@chakra-ui/styled-system': 2.11.2(react@18.3.1)
-      '@chakra-ui/theme-tools': 2.2.6(@chakra-ui/styled-system@2.11.2)(react@18.3.1)
+      '@chakra-ui/react': 2.10.4(@emotion/react@11.13.3)(@emotion/styled@11.13.0)(@types/react@18.3.11)(framer-motion@11.10.0)(react-dom@18.3.1)(react@18.3.1)
+      '@chakra-ui/styled-system': 2.9.2
+      '@chakra-ui/theme-tools': 2.1.2(@chakra-ui/styled-system@2.9.2)
       '@emotion/react': 11.13.3(@types/react@18.3.11)(react@18.3.1)
       '@emotion/styled': 11.13.0(@emotion/react@11.13.3)(@types/react@18.3.11)(react@18.3.1)
       '@fontsource-variable/inter': 5.1.0

invokeai/frontend/web/public/locales/de.json

@@ -768,7 +768,8 @@
         "deletedPrivateBoardsCannotbeRestored": "Gelöschte Boards können nicht wiederhergestellt werden. Wenn Sie „Nur Board löschen“ wählen, werden die Bilder in einen privaten, nicht kategorisierten Status für den Ersteller des Bildes versetzt.",
         "assetsWithCount_one": "{{count}} in der Sammlung",
         "assetsWithCount_other": "{{count}} in der Sammlung",
-        "deletedBoardsCannotbeRestored": "Gelöschte Ordner können nicht wiederhergestellt werden. Die Auswahl von \"Nur Ordner löschen\" verschiebt Bilder in einen unkategorisierten Zustand."
+        "deletedBoardsCannotbeRestored": "Gelöschte Ordner können nicht wiederhergestellt werden. Die Auswahl von \"Nur Ordner löschen\" verschiebt Bilder in einen unkategorisierten Zustand.",
+        "updateBoardError": "Fehler beim Aktualisieren des Ordners"
     },
     "queue": {
         "status": "Status",
@@ -871,7 +872,9 @@
         "recallParameter": "{{label}} Abrufen",
         "parsingFailed": "Parsing Fehlgeschlagen",
         "canvasV2Metadata": "Leinwand",
-        "guidance": "Führung"
+        "guidance": "Führung",
+        "seamlessXAxis": "Nahtlose X Achse",
+        "seamlessYAxis": "Nahtlose Y Achse"
     },
     "popovers": {
         "noiseUseCPU": {
@@ -1392,7 +1395,13 @@
         "pullBboxIntoLayerOk": "Bbox in die Ebene gezogen",
         "saveBboxToGallery": "Bbox in Galerie speichern",
         "tool": {
-            "bbox": "Bbox"
+            "bbox": "Bbox",
+            "brush": "Pinsel",
+            "eraser": "Radiergummi",
+            "colorPicker": "Farbwähler",
+            "view": "Ansicht",
+            "rectangle": "Rechteck",
+            "move": "Verschieben"
         },
         "transform": {
             "fitToBbox": "An Bbox anpassen",
@@ -1434,7 +1443,6 @@
         "deleteReferenceImage": "Referenzbild löschen",
         "referenceImage": "Referenzbild",
         "opacity": "Opazität",
-        "resetCanvas": "Leinwand zurücksetzen",
         "removeBookmark": "Lesezeichen entfernen",
         "rasterLayer": "Raster-Ebene",
         "rasterLayers_withCount_visible": "Raster-Ebenen ({{count}})",
@@ -1511,7 +1519,30 @@
         "layer_one": "Ebene",
         "layer_other": "Ebenen",
         "layer_withCount_one": "Ebene ({{count}})",
-        "layer_withCount_other": "Ebenen ({{count}})"
+        "layer_withCount_other": "Ebenen ({{count}})",
+        "fill": {
+            "fillStyle": "Füllstil",
+            "diagonal": "Diagonal",
+            "vertical": "Vertikal",
+            "fillColor": "Füllfarbe",
+            "grid": "Raster",
+            "solid": "Solide",
+            "crosshatch": "Kreuzschraffur",
+            "horizontal": "Horizontal"
+        },
+        "filter": {
+            "apply": "Anwenden",
+            "reset": "Zurücksetzen",
+            "cancel": "Abbrechen",
+            "spandrel_filter": {
+                "label": "Bild-zu-Bild Modell",
+                "description": "Ein Bild-zu-Bild Modell auf der ausgewählten Ebene ausführen.",
+                "model": "Modell"
+            },
+            "filters": "Filter",
+            "filterType": "Filtertyp",
+            "filter": "Filter"
+        }
     },
     "upsell": {
         "shareAccess": "Zugang teilen",

invokeai/frontend/web/public/locales/en.json

@@ -122,6 +122,7 @@
         "goTo": "Go to",
         "hotkeysLabel": "Hotkeys",
         "loadingImage": "Loading Image",
+        "loadingModel": "Loading Model",
         "imageFailedToLoad": "Unable to Load Image",
         "img2img": "Image To Image",
         "inpaint": "inpaint",
@@ -262,7 +263,8 @@
         "iterations_one": "Iteration",
         "iterations_other": "Iterations",
         "generations_one": "Generation",
-        "generations_other": "Generations"
+        "generations_other": "Generations",
+        "batchSize": "Batch Size"
     },
     "invocationCache": {
         "invocationCache": "Invocation Cache",
@@ -976,6 +978,8 @@
         "zoomOutNodes": "Zoom Out",
         "betaDesc": "This invocation is in beta. Until it is stable, it may have breaking changes during app updates. We plan to support this invocation long-term.",
         "prototypeDesc": "This invocation is a prototype. It may have breaking changes during app updates and may be removed at any time.",
+        "internalDesc": "This invocation is used internally by Invoke. It may have breaking changes during app updates and may be removed at any time.",
+        "specialDesc": "This invocation some special handling in the app. For example, Batch nodes are used to queue multiple graphs from a single workflow.",
         "imageAccessError": "Unable to find image {{image_name}}, resetting to default",
         "boardAccessError": "Unable to find board {{board_id}}, resetting to default",
         "modelAccessError": "Unable to find model {{key}}, resetting to default",
@@ -1014,8 +1018,11 @@
             "addingImagesTo": "Adding images to",
             "invoke": "Invoke",
             "missingFieldTemplate": "Missing field template",
-            "missingInputForField": "{{nodeLabel}} -> {{fieldLabel}} missing input",
+            "missingInputForField": "{{nodeLabel}} -> {{fieldLabel}}: missing input",
             "missingNodeTemplate": "Missing node template",
+            "collectionEmpty": "{{nodeLabel}} -> {{fieldLabel}} empty collection",
+            "collectionTooFewItems": "{{nodeLabel}} -> {{fieldLabel}}: too few items, minimum {{minItems}}",
+            "collectionTooManyItems": "{{nodeLabel}} -> {{fieldLabel}}: too many items, maximum {{maxItems}}",
             "noModelSelected": "No model selected",
             "noT5EncoderModelSelected": "No T5 Encoder model selected for FLUX generation",
             "noFLUXVAEModelSelected": "No VAE model selected for FLUX generation",
@@ -1024,10 +1031,11 @@
             "fluxModelIncompatibleBboxHeight": "$t(parameters.invoke.fluxRequiresDimensionsToBeMultipleOf16), bbox height is {{height}}",
             "fluxModelIncompatibleScaledBboxWidth": "$t(parameters.invoke.fluxRequiresDimensionsToBeMultipleOf16), scaled bbox width is {{width}}",
             "fluxModelIncompatibleScaledBboxHeight": "$t(parameters.invoke.fluxRequiresDimensionsToBeMultipleOf16), scaled bbox height is {{height}}",
-            "canvasIsFiltering": "Canvas is filtering",
-            "canvasIsTransforming": "Canvas is transforming",
-            "canvasIsRasterizing": "Canvas is rasterizing",
-            "canvasIsCompositing": "Canvas is compositing",
+            "canvasIsFiltering": "Canvas is busy (filtering)",
+            "canvasIsTransforming": "Canvas is busy (transforming)",
+            "canvasIsRasterizing": "Canvas is busy (rasterizing)",
+            "canvasIsCompositing": "Canvas is busy (compositing)",
+            "canvasIsSelectingObject": "Canvas is busy (selecting object)",
             "noPrompts": "No prompts generated",
             "noNodesInGraph": "No nodes in graph",
             "systemDisconnected": "System disconnected",
@@ -1322,7 +1330,7 @@
         "controlNetProcessor": {
             "heading": "Processor",
             "paragraphs": [
-                "Method of processing the input image to guide the generation process. Different processors will providedifferent effects or styles in your generated images."
+                "Method of processing the input image to guide the generation process. Different processors will provide different effects or styles in your generated images."
             ]
         },
         "controlNetResizeMode": {
@@ -1658,7 +1666,6 @@
         "newControlLayerError": "Problem Creating Control Layer",
         "newRasterLayerOk": "Created Raster Layer",
         "newRasterLayerError": "Problem Creating Raster Layer",
-        "newFromImage": "New from Image",
         "pullBboxIntoLayerOk": "Bbox Pulled Into Layer",
         "pullBboxIntoLayerError": "Problem Pulling BBox Into Layer",
         "pullBboxIntoReferenceImageOk": "Bbox Pulled Into ReferenceImage",
@@ -1671,7 +1678,7 @@
         "mergingLayers": "Merging layers",
         "clearHistory": "Clear History",
         "bboxOverlay": "Show Bbox Overlay",
-        "resetCanvas": "Reset Canvas",
+        "newSession": "New Session",
         "clearCaches": "Clear Caches",
         "recalculateRects": "Recalculate Rects",
         "clipToBbox": "Clip Strokes to Bbox",
@@ -1703,8 +1710,10 @@
         "controlLayer": "Control Layer",
         "inpaintMask": "Inpaint Mask",
         "regionalGuidance": "Regional Guidance",
-        "canvasAsRasterLayer": "$t(controlLayers.canvas) as $t(controlLayers.rasterLayer)",
-        "canvasAsControlLayer": "$t(controlLayers.canvas) as $t(controlLayers.controlLayer)",
+        "asRasterLayer": "As $t(controlLayers.rasterLayer)",
+        "asRasterLayerResize": "As $t(controlLayers.rasterLayer) (Resize)",
+        "asControlLayer": "As $t(controlLayers.controlLayer)",
+        "asControlLayerResize": "As $t(controlLayers.controlLayer) (Resize)",
         "referenceImage": "Reference Image",
         "regionalReferenceImage": "Regional Reference Image",
         "globalReferenceImage": "Global Reference Image",
@@ -1780,6 +1789,8 @@
         "newGallerySessionDesc": "This will clear the canvas and all settings except for your model selection. Generations will be sent to the gallery.",
         "newCanvasSession": "New Canvas Session",
         "newCanvasSessionDesc": "This will clear the canvas and all settings except for your model selection. Generations will be staged on the canvas.",
+        "resetCanvasLayers": "Reset Canvas Layers",
+        "resetGenerationSettings": "Reset Generation Settings",
         "replaceCurrent": "Replace Current",
         "controlLayerEmptyState": "<UploadButton>Upload an image</UploadButton>, drag an image from the <GalleryButton>gallery</GalleryButton> onto this layer, or draw on the canvas to get started.",
         "controlMode": {
@@ -2109,11 +2120,73 @@
     "whatsNew": {
         "whatsNewInInvoke": "What's New in Invoke",
         "items": [
-            "<StrongComponent>SD 3.5</StrongComponent>: Support for Text-to-Image in Workflows with SD 3.5 Medium and Large.",
-            "<StrongComponent>Canvas</StrongComponent>: Streamlined Control Layer processing and improved default Control settings."
+            "<StrongComponent>Workflows</StrongComponent>: Run a workflow for a collection of images using the new <StrongComponent>Image Batch</StrongComponent> node.",
+            "<StrongComponent>FLUX</StrongComponent>: Support for XLabs IP Adapter v2."
         ],
         "readReleaseNotes": "Read Release Notes",
         "watchRecentReleaseVideos": "Watch Recent Release Videos",
         "watchUiUpdatesOverview": "Watch UI Updates Overview"
+    },
+    "supportVideos": {
+        "supportVideos": "Support Videos",
+        "gettingStarted": "Getting Started",
+        "controlCanvas": "Control Canvas",
+        "watch": "Watch",
+        "studioSessionsDesc1": "Check out the <StudioSessionsPlaylistLink /> for Invoke deep dives.",
+        "studioSessionsDesc2": "Join our <DiscordLink /> to participate in the live sessions and ask questions. Sessions are uploaded to the playlist the following week.",
+        "videos": {
+            "creatingYourFirstImage": {
+                "title": "Creating Your First Image",
+                "description": "Introduction to creating an image from scratch using Invoke's tools."
+            },
+            "usingControlLayersAndReferenceGuides": {
+                "title": "Using Control Layers and Reference Guides",
+                "description": "Learn how to guide your image creation with control layers and reference images."
+            },
+            "understandingImageToImageAndDenoising": {
+                "title": "Understanding Image-to-Image and Denoising",
+                "description": "Overview of image-to-image transformations and denoising in Invoke."
+            },
+            "exploringAIModelsAndConceptAdapters": {
+                "title": "Exploring AI Models and Concept Adapters",
+                "description": "Dive into AI models and how to use concept adapters for creative control."
+            },
+            "creatingAndComposingOnInvokesControlCanvas": {
+                "title": "Creating and Composing on Invoke's Control Canvas",
+                "description": "Learn to compose images using Invoke's control canvas."
+            },
+            "upscaling": {
+                "title": "Upscaling",
+                "description": "How to upscale images with Invoke's tools to enhance resolution."
+            },
+            "howDoIGenerateAndSaveToTheGallery": {
+                "title": "How Do I Generate and Save to the Gallery?",
+                "description": "Steps to generate and save images to the gallery."
+            },
+            "howDoIEditOnTheCanvas": {
+                "title": "How Do I Edit on the Canvas?",
+                "description": "Guide to editing images directly on the canvas."
+            },
+            "howDoIDoImageToImageTransformation": {
+                "title": "How Do I Do Image-to-Image Transformation?",
+                "description": "Tutorial on performing image-to-image transformations in Invoke."
+            },
+            "howDoIUseControlNetsAndControlLayers": {
+                "title": "How Do I Use Control Nets and Control Layers?",
+                "description": "Learn to apply control layers and controlnets to your images."
+            },
+            "howDoIUseGlobalIPAdaptersAndReferenceImages": {
+                "title": "How Do I Use Global IP Adapters and Reference Images?",
+                "description": "Introduction to adding reference images and global IP adapters."
+            },
+            "howDoIUseInpaintMasks": {
+                "title": "How Do I Use Inpaint Masks?",
+                "description": "How to apply inpaint masks for image correction and variation."
+            },
+            "howDoIOutpaint": {
+                "title": "How Do I Outpaint?",
+                "description": "Guide to outpainting beyond the original image borders."
+            }
+        }
     }
 }

invokeai/frontend/web/public/locales/es.json

@@ -13,7 +13,7 @@
         "discordLabel": "Discord",
         "back": "Atrás",
         "loading": "Cargando",
-        "postprocessing": "Postprocesado",
+        "postprocessing": "Postprocesamiento",
         "txt2img": "De texto a imagen",
         "accept": "Aceptar",
         "cancel": "Cancelar",
@@ -64,7 +64,7 @@
         "prevPage": "Página Anterior",
         "red": "Rojo",
         "alpha": "Transparencia",
-        "outputs": "Salidas",
+        "outputs": "Resultados",
         "learnMore": "Aprende más",
         "enabled": "Activado",
         "disabled": "Desactivado",
@@ -73,7 +73,32 @@
         "created": "Creado",
         "save": "Guardar",
         "unknownError": "Error Desconocido",
-        "blue": "Azul"
+        "blue": "Azul",
+        "clipboard": "Portapapeles",
+        "loadingImage": "Cargando la imagen",
+        "inpaint": "inpaint",
+        "ipAdapter": "Adaptador IP",
+        "t2iAdapter": "Adaptador T2I",
+        "apply": "Aplicar",
+        "openInViewer": "Abrir en el visor",
+        "off": "Apagar",
+        "generating": "Generando",
+        "ok": "De acuerdo",
+        "placeholderSelectAModel": "Seleccionar un modelo",
+        "reset": "Restablecer",
+        "none": "Ninguno",
+        "new": "Nuevo",
+        "dontShowMeThese": "No mostrar estos",
+        "loadingModel": "Cargando el modelo",
+        "view": "Ver",
+        "edit": "Editar",
+        "safetensors": "Safetensors",
+        "toResolve": "Para resolver",
+        "localSystem": "Sistema local",
+        "notInstalled": "No $t(common.installed)",
+        "outpaint": "outpaint",
+        "simple": "Sencillo",
+        "close": "Cerrar"
     },
     "gallery": {
         "galleryImageSize": "Tamaño de la imagen",
@@ -85,7 +110,63 @@
         "deleteImage_other": "Eliminar {{count}} Imágenes",
         "deleteImagePermanent": "Las imágenes eliminadas no se pueden restaurar.",
         "assets": "Activos",
-        "autoAssignBoardOnClick": "Asignación automática de tableros al hacer clic"
+        "autoAssignBoardOnClick": "Asignar automática tableros al hacer clic",
+        "gallery": "Galería",
+        "noImageSelected": "Sin imágenes seleccionadas",
+        "bulkDownloadRequestFailed": "Error al preparar la descarga",
+        "oldestFirst": "La más antigua primero",
+        "sideBySide": "conjuntamente",
+        "selectForCompare": "Seleccionar para comparar",
+        "alwaysShowImageSizeBadge": "Mostrar siempre las dimensiones de la imagen",
+        "currentlyInUse": "Esta imagen se utiliza actualmente con las siguientes funciones:",
+        "unableToLoad": "No se puede cargar la galería",
+        "selectAllOnPage": "Seleccionar todo en la página",
+        "selectAnImageToCompare": "Seleccione una imagen para comparar",
+        "bulkDownloadFailed": "Error en la descarga",
+        "compareHelp2": "Presione <Kbd> M </Kbd> para recorrer los modos de comparación.",
+        "move": "Mover",
+        "copy": "Copiar",
+        "drop": "Gota",
+        "displayBoardSearch": "Tablero de búsqueda",
+        "deleteSelection": "Borrar selección",
+        "downloadSelection": "Descargar selección",
+        "openInViewer": "Abrir en el visor",
+        "searchImages": "Búsqueda por metadatos",
+        "swapImages": "Intercambiar imágenes",
+        "sortDirection": "Orden de clasificación",
+        "showStarredImagesFirst": "Mostrar imágenes destacadas primero",
+        "go": "Ir",
+        "bulkDownloadRequested": "Preparando la descarga",
+        "image": "imagen",
+        "compareHelp4": "Presione <Kbd> Z </Kbd> o <Kbd> Esc </Kbd> para salir.",
+        "viewerImage": "Ver imagen",
+        "dropOrUpload": "$t(gallery.drop) o cargar",
+        "displaySearch": "Buscar imagen",
+        "download": "Descargar",
+        "exitBoardSearch": "Finalizar búsqueda",
+        "exitSearch": "Salir de la búsqueda de imágenes",
+        "featuresWillReset": "Si elimina esta imagen, dichas funciones se restablecerán inmediatamente.",
+        "jump": "Omitir",
+        "loading": "Cargando",
+        "newestFirst": "La más nueva primero",
+        "unstarImage": "Dejar de ser favorita",
+        "bulkDownloadRequestedDesc": "Su solicitud de descarga se está preparando. Esto puede tardar unos minutos.",
+        "hover": "Desplazar",
+        "compareHelp1": "Mantenga presionada la tecla <Kbd> Alt </Kbd> mientras hace clic en una imagen de la galería o utiliza las teclas de flecha para cambiar la imagen de comparación.",
+        "stretchToFit": "Estirar para encajar",
+        "exitCompare": "Salir de la comparación",
+        "starImage": "Imágenes favoritas",
+        "dropToUpload": "$t(gallery.drop) para cargar",
+        "slider": "Deslizador",
+        "assetsTab": "Archivos que has cargado para utilizarlos en tus proyectos.",
+        "imagesTab": "Imágenes que ha creado y guardado en Invoke.",
+        "compareImage": "Comparar imagen",
+        "boardsSettings": "Ajustes de los tableros",
+        "imagesSettings": "Configuración de imágenes de la galería",
+        "compareHelp3": "Presione <Kbd> C </Kbd> para intercambiar las imágenes comparadas.",
+        "showArchivedBoards": "Mostrar paneles archivados",
+        "closeViewer": "Cerrar visor",
+        "openViewer": "Abrir visor"
     },
     "modelManager": {
         "modelManager": "Gestor de Modelos",
@@ -131,7 +212,13 @@
         "modelDeleted": "Modelo eliminado",
         "modelDeleteFailed": "Error al borrar el modelo",
         "settings": "Ajustes",
-        "syncModels": "Sincronizar las plantillas"
+        "syncModels": "Sincronizar las plantillas",
+        "clipEmbed": "Incrustar CLIP",
+        "addModels": "Añadir modelos",
+        "advanced": "Avanzado",
+        "clipGEmbed": "Incrustar CLIP-G",
+        "cancel": "Cancelar",
+        "clipLEmbed": "Incrustar CLIP-L"
     },
     "parameters": {
         "images": "Imágenes",
@@ -158,19 +245,19 @@
         "useSeed": "Usar Semilla",
         "useAll": "Usar Todo",
         "info": "Información",
-        "showOptionsPanel": "Mostrar panel de opciones",
+        "showOptionsPanel": "Mostrar panel lateral (O o T)",
         "symmetry": "Simetría",
         "copyImage": "Copiar la imagen",
         "general": "General",
         "denoisingStrength": "Intensidad de la eliminación del ruido",
-        "seamlessXAxis": "Eje x",
-        "seamlessYAxis": "Eje y",
+        "seamlessXAxis": "Eje X sin juntas",
+        "seamlessYAxis": "Eje Y sin juntas",
         "scheduler": "Programador",
         "positivePromptPlaceholder": "Prompt Positivo",
         "negativePromptPlaceholder": "Prompt Negativo",
         "controlNetControlMode": "Modo de control",
         "clipSkip": "Omitir el CLIP",
-        "maskBlur": "Difuminar",
+        "maskBlur": "Desenfoque de máscara",
         "patchmatchDownScaleSize": "Reducir a escala",
         "coherenceMode": "Modo"
     },
@@ -202,16 +289,19 @@
         "serverError": "Error en el servidor",
         "canceled": "Procesando la cancelación",
         "connected": "Conectado al servidor",
-        "uploadFailedInvalidUploadDesc": "Debe ser una sola imagen PNG o JPEG",
-        "parameterSet": "Conjunto de parámetros",
-        "parameterNotSet": "Parámetro no configurado",
+        "uploadFailedInvalidUploadDesc": "Deben ser imágenes PNG o JPEG.",
+        "parameterSet": "Parámetro recuperado",
+        "parameterNotSet": "Parámetro no recuperado",
         "problemCopyingImage": "No se puede copiar la imagen",
         "errorCopied": "Error al copiar",
         "baseModelChanged": "Modelo base cambiado",
-        "addedToBoard": "Añadido al tablero",
+        "addedToBoard": "Se agregó a los activos del panel {{name}}",
         "baseModelChangedCleared_one": "Borrado o desactivado {{count}} submodelo incompatible",
         "baseModelChangedCleared_many": "Borrados o desactivados {{count}} submodelos incompatibles",
-        "baseModelChangedCleared_other": "Borrados o desactivados {{count}} submodelos incompatibles"
+        "baseModelChangedCleared_other": "Borrados o desactivados {{count}} submodelos incompatibles",
+        "addedToUncategorized": "Añadido a los activos del tablero $t(boards.uncategorized)",
+        "imagesWillBeAddedTo": "Las imágenes subidas se añadirán a los activos del panel {{boardName}}.",
+        "layerCopiedToClipboard": "Capa copiada en el portapapeles"
     },
     "accessibility": {
         "invokeProgressBar": "Activar la barra de progreso",
@@ -226,7 +316,8 @@
         "mode": "Modo",
         "submitSupportTicket": "Enviar Ticket de Soporte",
         "toggleRightPanel": "Activar o desactivar el panel derecho (G)",
-        "toggleLeftPanel": "Activar o desactivar el panel izquierdo (T)"
+        "toggleLeftPanel": "Activar o desactivar el panel izquierdo (T)",
+        "uploadImages": "Cargar imagen(es)"
     },
     "nodes": {
         "zoomInNodes": "Acercar",
@@ -238,7 +329,8 @@
         "showMinimapnodes": "Mostrar el minimapa",
         "reloadNodeTemplates": "Recargar las plantillas de nodos",
         "loadWorkflow": "Cargar el flujo de trabajo",
-        "downloadWorkflow": "Descargar el flujo de trabajo en un archivo JSON"
+        "downloadWorkflow": "Descargar el flujo de trabajo en un archivo JSON",
+        "boardAccessError": "No se puede encontrar el panel {{board_id}}, se está restableciendo al valor predeterminado"
     },
     "boards": {
         "autoAddBoard": "Agregar panel automáticamente",
@@ -255,7 +347,7 @@
         "bottomMessage": "Al eliminar este panel y las imágenes que contiene, se restablecerán las funciones que los estén utilizando actualmente.",
         "deleteBoardAndImages": "Borrar el panel y las imágenes",
         "loading": "Cargando...",
-        "deletedBoardsCannotbeRestored": "Los paneles eliminados no se pueden restaurar. Al Seleccionar 'Borrar Solo el Panel' transferirá las imágenes a un estado sin categorizar.",
+        "deletedBoardsCannotbeRestored": "Los paneles eliminados no se pueden restaurar. Al Seleccionar 'Borrar solo el panel' transferirá las imágenes a un estado sin categorizar.",
         "move": "Mover",
         "menuItemAutoAdd": "Agregar automáticamente a este panel",
         "searchBoard": "Buscando paneles…",
@@ -263,29 +355,33 @@
         "downloadBoard": "Descargar panel",
         "deleteBoardOnly": "Borrar solo el panel",
         "myBoard": "Mi panel",
-        "noMatching": "No hay paneles que coincidan",
+        "noMatching": "Sin paneles coincidentes",
         "imagesWithCount_one": "{{count}} imagen",
         "imagesWithCount_many": "{{count}} imágenes",
         "imagesWithCount_other": "{{count}} imágenes",
         "assetsWithCount_one": "{{count}} activo",
         "assetsWithCount_many": "{{count}} activos",
         "assetsWithCount_other": "{{count}} activos",
-        "hideBoards": "Ocultar Paneles",
-        "addPrivateBoard": "Agregar un tablero privado",
-        "addSharedBoard": "Agregar Panel Compartido",
+        "hideBoards": "Ocultar paneles",
+        "addPrivateBoard": "Agregar un panel privado",
+        "addSharedBoard": "Añadir panel compartido",
         "boards": "Paneles",
-        "archiveBoard": "Archivar Panel",
+        "archiveBoard": "Archivar panel",
         "archived": "Archivado",
         "selectedForAutoAdd": "Seleccionado para agregar automáticamente",
-        "unarchiveBoard": "Desarchivar el tablero",
-        "noBoards": "No hay tableros {{boardType}}",
-        "shared": "Carpetas compartidas",
-        "deletedPrivateBoardsCannotbeRestored": "Los tableros eliminados no se pueden restaurar. Al elegir \"Eliminar solo tablero\", las imágenes se colocan en un estado privado y sin categoría para el creador de la imagen."
+        "unarchiveBoard": "Desarchivar el panel",
+        "noBoards": "No hay paneles {{boardType}}",
+        "shared": "Paneles compartidos",
+        "deletedPrivateBoardsCannotbeRestored": "Los paneles eliminados no se pueden restaurar. Al elegir \"Eliminar solo el panel\", las imágenes se colocan en un estado privado y sin categoría para el creador de la imagen.",
+        "viewBoards": "Ver paneles",
+        "private": "Paneles privados",
+        "updateBoardError": "No se pudo actualizar el panel"
     },
     "accordions": {
         "compositing": {
             "title": "Composición",
-            "infillTab": "Relleno"
+            "infillTab": "Relleno",
+            "coherenceTab": "Parámetros de la coherencia"
         },
         "generation": {
             "title": "Generación"
@@ -309,7 +405,10 @@
             "workflows": "Flujos de trabajo",
             "models": "Modelos",
             "modelsTab": "$t(ui.tabs.models) $t(common.tab)",
-            "workflowsTab": "$t(ui.tabs.workflows) $t(common.tab)"
+            "workflowsTab": "$t(ui.tabs.workflows) $t(common.tab)",
+            "upscaling": "Upscaling",
+            "gallery": "Galería",
+            "upscalingTab": "$t(ui.tabs.upscaling) $t(common.tab)"
         }
     },
     "queue": {
@@ -317,12 +416,81 @@
         "front": "Delante",
         "batchQueuedDesc_one": "Se agregó {{count}} sesión a {{direction}} la cola",
         "batchQueuedDesc_many": "Se agregaron {{count}} sesiones a {{direction}} la cola",
-        "batchQueuedDesc_other": "Se agregaron {{count}} sesiones a {{direction}} la cola"
+        "batchQueuedDesc_other": "Se agregaron {{count}} sesiones a {{direction}} la cola",
+        "clearQueueAlertDialog": "Al vaciar la cola se cancela inmediatamente cualquier elemento de procesamiento y se vaciará la cola por completo. Los filtros pendientes se cancelarán.",
+        "time": "Tiempo",
+        "clearFailed": "Error al vaciar la cola",
+        "cancelFailed": "Error al cancelar el elemento",
+        "resumeFailed": "Error al reanudar el proceso",
+        "pause": "Pausar",
+        "pauseTooltip": "Pausar el proceso",
+        "cancelBatchSucceeded": "Lote cancelado",
+        "pruneSucceeded": "Se purgaron {{item_count}} elementos completados de la cola",
+        "pruneFailed": "Error al purgar la cola",
+        "cancelBatchFailed": "Error al cancelar los lotes",
+        "pauseFailed": "Error al pausar el proceso",
+        "status": "Estado",
+        "origin": "Origen",
+        "destination": "Destino",
+        "generations_one": "Generación",
+        "generations_many": "Generaciones",
+        "generations_other": "Generaciones",
+        "resume": "Reanudar",
+        "queueEmpty": "Cola vacía",
+        "cancelItem": "Cancelar elemento",
+        "cancelBatch": "Cancelar lote",
+        "openQueue": "Abrir la cola",
+        "completed": "Completado",
+        "enqueueing": "Añadir lotes a la cola",
+        "clear": "Limpiar",
+        "pauseSucceeded": "Proceso pausado",
+        "resumeSucceeded": "Proceso reanudado",
+        "resumeTooltip": "Reanudar proceso",
+        "cancel": "Cancelar",
+        "cancelTooltip": "Cancelar artículo actual",
+        "pruneTooltip": "Purgar {{item_count}} elementos completados",
+        "batchQueued": "Lote en cola",
+        "pending": "Pendiente",
+        "item": "Elemento",
+        "total": "Total",
+        "in_progress": "En proceso",
+        "failed": "Fallido",
+        "completedIn": "Completado en",
+        "upscaling": "Upscaling",
+        "canvas": "Lienzo",
+        "generation": "Generación",
+        "workflows": "Flujo de trabajo",
+        "other": "Otro",
+        "queueFront": "Añadir al principio de la cola",
+        "gallery": "Galería",
+        "batchFieldValues": "Valores de procesamiento por lotes",
+        "session": "Sesión",
+        "notReady": "La cola aún no está lista",
+        "graphQueued": "Gráfico en cola",
+        "clearQueueAlertDialog2": "¿Estás seguro que deseas vaciar la cola?",
+        "next": "Siguiente",
+        "iterations_one": "Interacción",
+        "iterations_many": "Interacciones",
+        "iterations_other": "Interacciones",
+        "current": "Actual",
+        "queue": "Cola",
+        "queueBack": "Añadir a la cola",
+        "cancelSucceeded": "Elemento cancelado",
+        "clearTooltip": "Cancelar y limpiar todos los elementos",
+        "clearSucceeded": "Cola vaciada",
+        "canceled": "Cancelado",
+        "batch": "Lote",
+        "graphFailedToQueue": "Error al poner el gráfico en cola",
+        "batchFailedToQueue": "Error al poner en cola el lote",
+        "prompts_one": "Prompt",
+        "prompts_many": "Prompts",
+        "prompts_other": "Prompts",
+        "prune": "Eliminar"
     },
     "upsell": {
         "inviteTeammates": "Invitar compañeros de equipo",
         "shareAccess": "Compartir acceso",
-        "professionalUpsell": "Disponible en la edición profesional de Invoke. Haz clic aquí o visita invoke.com/pricing para obtener más detalles."
+        "professionalUpsell": "Disponible en la edición profesional de Invoke. Haga clic aquí o visite invoke.com/pricing para obtener más detalles."
     },
     "controlLayers": {
         "layer_one": "Capa",
@@ -330,6 +498,415 @@
         "layer_other": "Capas",
         "layer_withCount_one": "({{count}}) capa",
         "layer_withCount_many": "({{count}}) capas",
-        "layer_withCount_other": "({{count}}) capas"
+        "layer_withCount_other": "({{count}}) capas",
+        "copyToClipboard": "Copiar al portapapeles"
+    },
+    "whatsNew": {
+        "readReleaseNotes": "Leer las notas de la versión",
+        "watchRecentReleaseVideos": "Ver videos de versiones recientes",
+        "watchUiUpdatesOverview": "Descripción general de las actualizaciones de la interfaz de usuario de Watch",
+        "whatsNewInInvoke": "Novedades en Invoke",
+        "items": [
+            "<StrongComponent>SD 3.5</StrongComponent>: compatibilidad con SD 3.5 Medium y Large.",
+            "<StrongComponent>Lienzo</StrongComponent>: Se ha simplificado el procesamiento de la capa de control y se ha mejorado la configuración predeterminada del control."
+        ]
+    },
+    "invocationCache": {
+        "enableFailed": "Error al activar la cache",
+        "cacheSize": "Tamaño de la caché",
+        "hits": "Accesos a la caché",
+        "invocationCache": "Caché",
+        "misses": "Errores de la caché",
+        "clear": "Limpiar",
+        "maxCacheSize": "Tamaño máximo de la caché",
+        "enableSucceeded": "Cache activada",
+        "clearFailed": "Error al borrar la cache",
+        "enable": "Activar",
+        "useCache": "Uso de la caché",
+        "disableSucceeded": "Caché desactivada",
+        "clearSucceeded": "Caché borrada",
+        "disable": "Desactivar",
+        "disableFailed": "Error al desactivar la caché"
+    },
+    "hrf": {
+        "hrf": "Solución de alta resolución",
+        "enableHrf": "Activar corrección de alta resolución",
+        "metadata": {
+            "enabled": "Corrección de alta resolución activada",
+            "strength": "Forzar la corrección de alta resolución",
+            "method": "Método de corrección de alta resolución"
+        },
+        "upscaleMethod": "Método de expansión"
+    },
+    "prompt": {
+        "addPromptTrigger": "Añadir activador de los avisos",
+        "compatibleEmbeddings": "Incrustaciones compatibles",
+        "noMatchingTriggers": "No hay activadores coincidentes"
+    },
+    "hotkeys": {
+        "hotkeys": "Atajo del teclado",
+        "canvas": {
+            "selectViewTool": {
+                "desc": "Selecciona la herramienta de Visualización.",
+                "title": "Visualización"
+            },
+            "cancelFilter": {
+                "title": "Cancelar el filtro",
+                "desc": "Cancelar el filtro pendiente."
+            },
+            "applyTransform": {
+                "title": "Aplicar la transformación",
+                "desc": "Aplicar la transformación pendiente a la capa seleccionada."
+            },
+            "applyFilter": {
+                "desc": "Aplicar el filtro pendiente a la capa seleccionada.",
+                "title": "Aplicar filtro"
+            },
+            "selectBrushTool": {
+                "title": "Pincel",
+                "desc": "Selecciona la herramienta pincel."
+            },
+            "selectBboxTool": {
+                "desc": "Seleccionar la herramienta de selección del marco.",
+                "title": "Selección del marco"
+            },
+            "selectMoveTool": {
+                "desc": "Selecciona la herramienta Mover.",
+                "title": "Mover"
+            },
+            "selectRectTool": {
+                "title": "Rectángulo",
+                "desc": "Selecciona la herramienta Rectángulo."
+            },
+            "decrementToolWidth": {
+                "title": "Reducir el ancho de la herramienta",
+                "desc": "Disminuye la anchura de la herramienta pincel o goma de borrar, según la que esté seleccionada."
+            },
+            "incrementToolWidth": {
+                "title": "Incrementar la anchura de la herramienta",
+                "desc": "Aumenta la anchura de la herramienta pincel o goma de borrar, según la que esté seleccionada."
+            },
+            "fitBboxToCanvas": {
+                "title": "Ajustar bordes al lienzo",
+                "desc": "Escala y posiciona la vista para ajustarla a los bodes."
+            },
+            "fitLayersToCanvas": {
+                "title": "Ajustar capas al lienzo",
+                "desc": "Escala y posiciona la vista para que se ajuste a todas las capas visibles."
+            },
+            "setFillToWhite": {
+                "title": "Establecer color en blanco",
+                "desc": "Establece el color actual de la herramienta en blanco."
+            },
+            "resetSelected": {
+                "title": "Restablecer capa",
+                "desc": "Restablecer la capa seleccionada. Solo se aplica a Máscara de retoque y Guía regional."
+            },
+            "setZoomTo400Percent": {
+                "desc": "Ajuste la aplicación del lienzo al 400%.",
+                "title": "Ampliar al 400%"
+            },
+            "transformSelected": {
+                "desc": "Transformar la capa seleccionada.",
+                "title": "Transformar"
+            },
+            "selectColorPickerTool": {
+                "title": "Selector de color",
+                "desc": "Seleccione la herramienta de selección de color."
+            },
+            "selectEraserTool": {
+                "title": "Borrador",
+                "desc": "Selecciona la herramienta Borrador."
+            },
+            "setZoomTo100Percent": {
+                "title": "Ampliar al 100%",
+                "desc": "Ajuste ampliar el lienzo al 100%."
+            },
+            "undo": {
+                "title": "Deshacer",
+                "desc": "Deshacer la última acción en el lienzo."
+            },
+            "nextEntity": {
+                "desc": "Seleccione la siguiente capa de la lista.",
+                "title": "Capa siguiente"
+            },
+            "redo": {
+                "title": "Rehacer",
+                "desc": "Rehacer la última acción en el lienzo."
+            },
+            "prevEntity": {
+                "title": "Capa anterior",
+                "desc": "Seleccione la capa anterior de la lista."
+            },
+            "title": "Lienzo",
+            "setZoomTo200Percent": {
+                "title": "Ampliar al 200%",
+                "desc": "Ajuste la ampliación del lienzo al 200%."
+            },
+            "setZoomTo800Percent": {
+                "title": "Ampliar al 800%",
+                "desc": "Ajuste la ampliación del lienzo al 800%."
+            },
+            "filterSelected": {
+                "desc": "Filtra la capa seleccionada. Solo se aplica a las capas Ráster y Control.",
+                "title": "Filtrar"
+            },
+            "cancelTransform": {
+                "title": "Cancelar transformación",
+                "desc": "Cancelar la transformación pendiente."
+            },
+            "deleteSelected": {
+                "title": "Borrar la capa",
+                "desc": "Borrar la capa seleccionada."
+            },
+            "quickSwitch": {
+                "desc": "Cambiar entre las dos últimas capas seleccionadas. Si una capa está seleccionada, cambia siempre entre ella y la última capa no seleccionada.",
+                "title": "Cambio rápido de capa"
+            }
+        },
+        "app": {
+            "selectModelsTab": {
+                "title": "Seleccione la pestaña Modelos",
+                "desc": "Selecciona la pestaña Modelos."
+            },
+            "focusPrompt": {
+                "desc": "Mueve el foco del cursor a la indicación positiva.",
+                "title": "Enfoque"
+            },
+            "toggleLeftPanel": {
+                "title": "Alternar panel izquierdo",
+                "desc": "Mostrar u ocultar el panel izquierdo."
+            },
+            "selectQueueTab": {
+                "title": "Seleccione la pestaña Cola",
+                "desc": "Seleccione la pestaña Cola."
+            },
+            "selectCanvasTab": {
+                "title": "Seleccione la pestaña Lienzo",
+                "desc": "Selecciona la pestaña Lienzo."
+            },
+            "clearQueue": {
+                "title": "Vaciar cola",
+                "desc": "Cancelar y variar todos los elementos de la cola."
+            },
+            "selectUpscalingTab": {
+                "title": "Selecciona la pestaña Ampliar",
+                "desc": "Selecciona la pestaña Aumento de escala."
+            },
+            "togglePanels": {
+                "desc": "Muestra u oculta los paneles izquierdo y derecho a la vez.",
+                "title": "Alternar paneles"
+            },
+            "toggleRightPanel": {
+                "title": "Alternar panel derecho",
+                "desc": "Mostrar u ocultar el panel derecho."
+            },
+            "invokeFront": {
+                "desc": "Pone en cola la solicitud de compilación y la agrega al principio de la cola.",
+                "title": "Invocar (frente)"
+            },
+            "cancelQueueItem": {
+                "title": "Cancelar",
+                "desc": "Cancelar el elemento de la cola que se está procesando."
+            },
+            "invoke": {
+                "desc": "Pone en cola la solicitud de compilación y la agrega al final de la cola.",
+                "title": "Invocar"
+            },
+            "title": "Aplicación",
+            "selectWorkflowsTab": {
+                "title": "Seleccione la pestaña Flujos de trabajo",
+                "desc": "Selecciona la pestaña Flujos de trabajo."
+            },
+            "resetPanelLayout": {
+                "title": "Reiniciar la posición del panel",
+                "desc": "Restablece los paneles izquierdo y derecho a su tamaño y disposición por defecto."
+            }
+        },
+        "workflows": {
+            "addNode": {
+                "title": "Añadir nodo",
+                "desc": "Abrir añadir nodo."
+            },
+            "selectAll": {
+                "title": "Seleccionar todo",
+                "desc": "Seleccione todos los nodos y enlaces."
+            },
+            "deleteSelection": {
+                "desc": "Borrar todos los nodos y enlaces seleccionados.",
+                "title": "Borrar"
+            },
+            "undo": {
+                "desc": "Deshaga la última acción.",
+                "title": "Deshacer"
+            },
+            "redo": {
+                "desc": "Rehacer la última acción.",
+                "title": "Rehacer"
+            },
+            "pasteSelection": {
+                "desc": "Pegar nodos y bordes copiados.",
+                "title": "Pegar"
+            },
+            "title": "Flujos de trabajo",
+            "copySelection": {
+                "desc": "Copiar nodos y bordes seleccionados.",
+                "title": "Copiar"
+            },
+            "pasteSelectionWithEdges": {
+                "desc": "Pega los nodos copiados, los enlaces y todos los enlaces conectados a los nodos copiados.",
+                "title": "Pegar con enlaces"
+            }
+        },
+        "viewer": {
+            "useSize": {
+                "title": "Usar dimensiones",
+                "desc": "Utiliza las dimensiones de la imagen actual como el tamaño del borde."
+            },
+            "remix": {
+                "title": "Remezcla",
+                "desc": "Recupera todos los metadatos excepto la semilla de la imagen actual."
+            },
+            "loadWorkflow": {
+                "desc": "Carga el flujo de trabajo guardado de la imagen actual (si tiene uno).",
+                "title": "Cargar flujo de trabajo"
+            },
+            "recallAll": {
+                "desc": "Recupera todos los metadatos de la imagen actual.",
+                "title": "Recuperar todos los metadatos"
+            },
+            "recallPrompts": {
+                "desc": "Recuerde las indicaciones positivas y negativas de la imagen actual.",
+                "title": "Recordatorios"
+            },
+            "recallSeed": {
+                "title": "Recuperar semilla",
+                "desc": "Recupera la semilla de la imagen actual."
+            },
+            "runPostprocessing": {
+                "title": "Ejecutar posprocesamiento",
+                "desc": "Ejecutar el posprocesamiento seleccionado en la imagen actual."
+            },
+            "toggleMetadata": {
+                "title": "Mostrar/ocultar los metadatos",
+                "desc": "Mostrar u ocultar la superposición de metadatos de la imagen actual."
+            },
+            "nextComparisonMode": {
+                "desc": "Desplácese por los modos de comparación.",
+                "title": "Siguiente comparación"
+            },
+            "title": "Visor de imágenes",
+            "toggleViewer": {
+                "title": "Mostrar/Ocultar el visor de imágenes",
+                "desc": "Mostrar u ocultar el visor de imágenes. Solo disponible en la pestaña Lienzo."
+            },
+            "swapImages": {
+                "title": "Intercambiar imágenes en la comparación",
+                "desc": "Intercambia las imágenes que se están comparando."
+            }
+        },
+        "gallery": {
+            "clearSelection": {
+                "title": "Limpiar selección",
+                "desc": "Borrar la selección actual, si hay alguna."
+            },
+            "galleryNavUp": {
+                "title": "Subir",
+                "desc": "Navega hacia arriba en la cuadrícula de la galería y selecciona esa imagen. Si estás en la parte superior de la página, ve a la página anterior."
+            },
+            "galleryNavLeft": {
+                "title": "Izquierda",
+                "desc": "Navegue hacia la izquierda en la rejilla de la galería, seleccionando esa imagen. Si está en la primera imagen de la fila, vaya a la fila anterior. Si está en la primera imagen de la página, vaya a la página anterior."
+            },
+            "galleryNavDown": {
+                "title": "Bajar",
+                "desc": "Navegue hacia abajo en la parrilla de la galería, seleccionando esa imagen. Si se encuentra al final de la página, vaya a la página siguiente."
+            },
+            "galleryNavRight": {
+                "title": "A la derecha",
+                "desc": "Navegue hacia la derecha en la rejilla de la galería, seleccionando esa imagen. Si está en la última imagen de la fila, vaya a la fila siguiente. Si está en la última imagen de la página, vaya a la página siguiente."
+            },
+            "galleryNavUpAlt": {
+                "desc": "Igual que arriba, pero selecciona la imagen de comparación, abriendo el modo de comparación si no está ya abierto.",
+                "title": "Arriba (Comparar imagen)"
+            },
+            "deleteSelection": {
+                "desc": "Borrar todas las imágenes seleccionadas. Por defecto, se le pedirá que confirme la eliminación. Si las imágenes están actualmente en uso en la aplicación, se te avisará.",
+                "title": "Borrar"
+            },
+            "title": "Galería",
+            "selectAllOnPage": {
+                "title": "Seleccionar todo en la página",
+                "desc": "Seleccionar todas las imágenes en la página actual."
+            }
+        },
+        "searchHotkeys": "Buscar teclas de acceso rápido",
+        "noHotkeysFound": "Sin teclas de acceso rápido",
+        "clearSearch": "Limpiar la búsqueda"
+    },
+    "metadata": {
+        "guidance": "Orientación",
+        "createdBy": "Creado por",
+        "noImageDetails": "Sin detalles en la imagen",
+        "cfgRescaleMultiplier": "$t(parameters.cfgRescaleMultiplier)",
+        "height": "Altura",
+        "imageDimensions": "Dimensiones de la imagen",
+        "seamlessXAxis": "Eje X sin juntas",
+        "seamlessYAxis": "Eje Y sin juntas",
+        "generationMode": "Modo de generación",
+        "scheduler": "Programador",
+        "width": "Ancho",
+        "Threshold": "Umbral de ruido",
+        "canvasV2Metadata": "Lienzo",
+        "metadata": "Metadatos",
+        "model": "Modelo",
+        "allPrompts": "Todas las indicaciones",
+        "cfgScale": "Escala CFG",
+        "imageDetails": "Detalles de la imagen",
+        "negativePrompt": "Indicación negativa",
+        "noMetaData": "Sin metadatos",
+        "parameterSet": "Parámetro {{parameter}} establecido",
+        "vae": "Autocodificador",
+        "workflow": "Flujo de trabajo",
+        "seed": "Semilla",
+        "strength": "Forzar imagen a imagen",
+        "recallParameters": "Parámetros de recuperación",
+        "recallParameter": "Recuperar {{label}}",
+        "steps": "Pasos",
+        "noRecallParameters": "Sin parámetros para recuperar",
+        "parsingFailed": "Error al analizar"
+    },
+    "system": {
+        "logLevel": {
+            "debug": "Depurar",
+            "info": "Información",
+            "warn": "Advertir",
+            "fatal": "Grave",
+            "error": "Error",
+            "trace": "Rastro",
+            "logLevel": "Nivel del registro"
+        },
+        "enableLogging": "Activar registro",
+        "logNamespaces": {
+            "workflows": "Flujos de trabajo",
+            "system": "Sistema",
+            "metadata": "Metadatos",
+            "gallery": "Galería",
+            "logNamespaces": "Espacios para los nombres de registro",
+            "generation": "Generación",
+            "events": "Eventos",
+            "canvas": "Lienzo",
+            "config": "Ajustes",
+            "models": "Modelos",
+            "queue": "Cola"
+        }
+    },
+    "newUserExperience": {
+        "downloadStarterModels": "Descargar modelos de inicio",
+        "toGetStarted": "Para empezar, introduzca un mensaje en el cuadro y haga clic en <StrongComponent>Invocar</StrongComponent> para generar su primera imagen. Seleccione una plantilla para mejorar los resultados. Puede elegir guardar sus imágenes directamente en <StrongComponent>Galería</StrongComponent> o editarlas en <StrongComponent>Lienzo</StrongComponent>.",
+        "importModels": "Importar modelos",
+        "noModelsInstalled": "Parece que no tienes ningún modelo instalado",
+        "gettingStartedSeries": "¿Desea más orientación? Consulte nuestra <LinkComponent>Serie de introducción</LinkComponent> para obtener consejos sobre cómo aprovechar todo el potencial de Invoke Studio.",
+        "toGetStartedLocal": "Para empezar, asegúrate de descargar o importar los modelos necesarios para ejecutar Invoke. A continuación, introduzca un mensaje en el cuadro y haga clic en <StrongComponent>Invocar</StrongComponent> para generar su primera imagen. Seleccione una plantilla para mejorar los resultados. Puede elegir guardar sus imágenes directamente en <StrongComponent>Galería</StrongComponent> o editarlas en el <StrongComponent>Lienzo</StrongComponent>."
     }
 }

invokeai/frontend/web/public/locales/fr.json

@@ -1985,7 +1985,6 @@
         "inpaintMask_withCount_many": "Remplir les masques",
         "inpaintMask_withCount_other": "Remplir les masques",
         "newImg2ImgCanvasFromImage": "Nouvelle Img2Img à partir de l'image",
-        "resetCanvas": "Réinitialiser la Toile",
         "bboxOverlay": "Afficher la superposition des Bounding Box",
         "moveToFront": "Déplacer vers le permier plan",
         "moveToBack": "Déplacer vers l'arrière plan",
@@ -2034,7 +2033,6 @@
             "help2": "Commencez par un point <Bold>Inclure</Bold> au sein de l'objet cible. Ajoutez d'autres points pour affiner la sélection. Moins de points produisent généralement de meilleurs résultats.",
             "help3": "Inversez la sélection pour sélectionner tout sauf l'objet cible."
         },
-        "canvasAsControlLayer": "$t(controlLayers.canvas) en tant que $t(controlLayers.controlLayer)",
         "convertRegionalGuidanceTo": "Convertir $t(controlLayers.regionalGuidance) vers",
         "copyRasterLayerTo": "Copier $t(controlLayers.rasterLayer) vers",
         "newControlLayer": "Nouveau $t(controlLayers.controlLayer)",
@@ -2044,8 +2042,7 @@
         "convertInpaintMaskTo": "Convertir $t(controlLayers.inpaintMask) vers",
         "copyControlLayerTo": "Copier $t(controlLayers.controlLayer) vers",
         "newInpaintMask": "Nouveau $t(controlLayers.inpaintMask)",
-        "newRasterLayer": "Nouveau $t(controlLayers.rasterLayer)",
-        "canvasAsRasterLayer": "$t(controlLayers.canvas) en tant que $t(controlLayers.rasterLayer)"
+        "newRasterLayer": "Nouveau $t(controlLayers.rasterLayer)"
     },
     "upscaling": {
         "exceedsMaxSizeDetails": "La limite maximale d'agrandissement est de {{maxUpscaleDimension}}x{{maxUpscaleDimension}} pixels. Veuillez essayer une image plus petite ou réduire votre sélection d'échelle.",

invokeai/frontend/web/public/locales/it.json

@@ -94,7 +94,9 @@
         "view": "Vista",
         "close": "Chiudi",
         "clipboard": "Appunti",
-        "ok": "Ok"
+        "ok": "Ok",
+        "generating": "Generazione",
+        "loadingModel": "Caricamento del modello"
     },
     "gallery": {
         "galleryImageSize": "Dimensione dell'immagine",
@@ -597,7 +599,18 @@
         "huggingFace": "HuggingFace",
         "huggingFaceRepoID": "HuggingFace Repository ID",
         "clipEmbed": "CLIP Embed",
-        "t5Encoder": "T5 Encoder"
+        "t5Encoder": "T5 Encoder",
+        "hfTokenInvalidErrorMessage": "Gettone HuggingFace non valido o mancante.",
+        "hfTokenRequired": "Stai tentando di scaricare un modello che richiede un gettone HuggingFace valido.",
+        "hfTokenUnableToVerifyErrorMessage": "Impossibile verificare il gettone HuggingFace. Ciò è probabilmente dovuto a un errore di rete. Riprova più tardi.",
+        "hfTokenHelperText": "Per utilizzare alcuni modelli è necessario un gettone HF. Fai clic qui per creare o ottenere il tuo gettone.",
+        "hfTokenInvalid": "Gettone HF non valido o mancante",
+        "hfTokenUnableToVerify": "Impossibile verificare il gettone HF",
+        "hfTokenSaved": "Gettone HF salvato",
+        "hfForbidden": "Non hai accesso a questo modello HF",
+        "hfTokenLabel": "Gettone HuggingFace (richiesto per alcuni modelli)",
+        "hfForbiddenErrorMessage": "Consigliamo di visitare la pagina del repository su HuggingFace.com. Il proprietario potrebbe richiedere l'accettazione dei termini per poter effettuare il download.",
+        "hfTokenInvalidErrorMessage2": "Aggiornalo in "
     },
     "parameters": {
         "images": "Immagini",
@@ -699,7 +712,9 @@
         "staged": "Maschera espansa",
         "optimizedImageToImage": "Immagine-a-immagine ottimizzata",
         "sendToCanvas": "Invia alla Tela",
-        "coherenceMinDenoise": "Riduzione minima del rumore"
+        "coherenceMinDenoise": "Min rid. rumore",
+        "recallMetadata": "Richiama i metadati",
+        "disabledNoRasterContent": "Disabilitato (nessun contenuto Raster)"
     },
     "settings": {
         "models": "Modelli",
@@ -737,7 +752,8 @@
         "confirmOnNewSession": "Conferma su nuova sessione",
         "enableModelDescriptions": "Abilita le descrizioni dei modelli nei menu a discesa",
         "modelDescriptionsDisabled": "Descrizioni dei modelli nei menu a discesa disabilitate",
-        "modelDescriptionsDisabledDesc": "Le descrizioni dei modelli nei menu a discesa sono state disabilitate. Abilitale nelle Impostazioni."
+        "modelDescriptionsDisabledDesc": "Le descrizioni dei modelli nei menu a discesa sono state disabilitate. Abilitale nelle Impostazioni.",
+        "showDetailedInvocationProgress": "Mostra dettagli avanzamento"
     },
     "toast": {
         "uploadFailed": "Caricamento fallito",
@@ -1263,8 +1279,9 @@
         },
         "paramDenoisingStrength": {
             "paragraphs": [
-                "Quanto rumore viene aggiunto all'immagine in ingresso.",
-                "0 risulterà in un'immagine identica, mentre 1 risulterà in un'immagine completamente nuova."
+                "Controlla la differenza tra l'immagine generata e il/i livello/i raster.",
+                "Una forza inferiore rimane più vicina ai livelli raster visibili combinati. Una forza superiore si basa maggiormente sul prompt globale.",
+                "Se non sono presenti livelli raster con contenuto visibile, questa impostazione viene ignorata."
             ],
             "heading": "Forza di riduzione del rumore"
         },
@@ -1276,7 +1293,7 @@
         },
         "infillMethod": {
             "paragraphs": [
-                "Metodo di riempimento durante il processo di Outpainting o Inpainting."
+                "Metodo di riempimento durante il processo di Outpaint o Inpaint."
             ],
             "heading": "Metodo di riempimento"
         },
@@ -1444,7 +1461,7 @@
             "heading": "Livello minimo di riduzione del rumore",
             "paragraphs": [
                 "Intensità minima di riduzione rumore per la modalità di Coerenza",
-                "L'intensità minima di riduzione del rumore per la regione di coerenza durante l'inpainting o l'outpainting"
+                "L'intensità minima di riduzione del rumore per la regione di coerenza durante l'inpaint o l'outpaint"
             ]
         },
         "compositingMaskBlur": {
@@ -1498,7 +1515,7 @@
         "optimizedDenoising": {
             "heading": "Immagine-a-immagine ottimizzata",
             "paragraphs": [
-                "Abilita 'Immagine-a-immagine ottimizzata' per una scala di riduzione del rumore più graduale per le trasformazioni da immagine a immagine e di inpainting con modelli Flux. Questa impostazione migliora la capacità di controllare la quantità di modifica applicata a un'immagine, ma può essere disattivata se preferisci usare la scala di riduzione rumore standard. Questa impostazione è ancora in fase di messa a punto ed è in stato beta."
+                "Abilita 'Immagine-a-immagine ottimizzata' per una scala di riduzione del rumore più graduale per le trasformazioni da immagine a immagine e di inpaint con modelli Flux. Questa impostazione migliora la capacità di controllare la quantità di modifica applicata a un'immagine, ma può essere disattivata se preferisci usare la scala di riduzione rumore standard. Questa impostazione è ancora in fase di messa a punto ed è in stato beta."
             ]
         },
         "paramGuidance": {
@@ -1733,8 +1750,7 @@
         "newRegionalReferenceImageError": "Problema nella creazione dell'immagine di riferimento regionale",
         "newControlLayerOk": "Livello di controllo creato",
         "bboxOverlay": "Mostra sovrapposizione riquadro",
-        "resetCanvas": "Reimposta la tela",
-        "outputOnlyMaskedRegions": "Solo regioni mascherate in uscita",
+        "outputOnlyMaskedRegions": "In uscita solo le regioni generate",
         "enableAutoNegative": "Abilita Auto Negativo",
         "disableAutoNegative": "Disabilita Auto Negativo",
         "showHUD": "Mostra HUD",
@@ -1771,7 +1787,7 @@
         "globalReferenceImage_withCount_many": "Immagini di riferimento Globali",
         "globalReferenceImage_withCount_other": "Immagini di riferimento Globali",
         "controlMode": {
-            "balanced": "Bilanciato",
+            "balanced": "Bilanciato (consigliato)",
             "controlMode": "Modalità di controllo",
             "prompt": "Prompt",
             "control": "Controllo",
@@ -1782,7 +1798,7 @@
         "beginEndStepPercentShort": "Inizio/Fine %",
         "stagingOnCanvas": "Genera immagini nella",
         "ipAdapterMethod": {
-            "full": "Completo",
+            "full": "Stile e Composizione",
             "style": "Solo Stile",
             "composition": "Solo Composizione",
             "ipAdapterMethod": "Metodo Adattatore IP"
@@ -1881,7 +1897,10 @@
             "lineart_anime_edge_detection": {
                 "description": "Genera una mappa dei bordi dal livello selezionato utilizzando il modello di rilevamento dei bordi Lineart Anime.",
                 "label": "Rilevamento bordi Lineart Anime"
-            }
+            },
+            "forMoreControl": "Per un maggiore controllo, fare clic su Avanzate qui sotto.",
+            "advanced": "Avanzate",
+            "processingLayerWith": "Elaborazione del livello con il filtro {{type}}."
         },
         "controlLayers_withCount_hidden": "Livelli di controllo ({{count}} nascosti)",
         "regionalGuidance_withCount_hidden": "Guida regionale ({{count}} nascosti)",
@@ -2016,8 +2035,6 @@
         "convertControlLayerTo": "Converti $t(controlLayers.controlLayer) in",
         "newRasterLayer": "Nuovo $t(controlLayers.rasterLayer)",
         "newRegionalGuidance": "Nuova $t(controlLayers.regionalGuidance)",
-        "canvasAsRasterLayer": "$t(controlLayers.canvas) come $t(controlLayers.rasterLayer)",
-        "canvasAsControlLayer": "$t(controlLayers.canvas) come $t(controlLayers.controlLayer)",
         "convertInpaintMaskTo": "Converti $t(controlLayers.inpaintMask) in",
         "copyRegionalGuidanceTo": "Copia $t(controlLayers.regionalGuidance) in",
         "convertRasterLayerTo": "Converti $t(controlLayers.rasterLayer) in",
@@ -2025,7 +2042,9 @@
         "newControlLayer": "Nuovo $t(controlLayers.controlLayer)",
         "newInpaintMask": "Nuova $t(controlLayers.inpaintMask)",
         "replaceCurrent": "Sostituisci corrente",
-        "mergeDown": "Unire in basso"
+        "mergeDown": "Unire in basso",
+        "mergingLayers": "Unione dei livelli",
+        "controlLayerEmptyState": "<UploadButton>Carica un'immagine</UploadButton>, trascina un'immagine dalla <GalleryButton>galleria</GalleryButton> su questo livello oppure disegna sulla tela per iniziare."
     },
     "ui": {
         "tabs": {
@@ -2057,7 +2076,9 @@
         "postProcessingMissingModelWarning": "Visita <LinkComponent>Gestione modelli</LinkComponent> per installare un modello di post-elaborazione (da immagine a immagine).",
         "exceedsMaxSize": "Le impostazioni di ampliamento superano il limite massimo delle dimensioni",
         "exceedsMaxSizeDetails": "Il limite massimo di ampliamento è {{maxUpscaleDimension}}x{{maxUpscaleDimension}} pixel. Prova un'immagine più piccola o diminuisci la scala selezionata.",
-        "upscale": "Amplia"
+        "upscale": "Amplia",
+        "incompatibleBaseModel": "Architettura del modello principale non supportata per l'ampliamento",
+        "incompatibleBaseModelDesc": "L'ampliamento è supportato solo per i modelli di architettura SD1.5 e SDXL. Cambia il modello principale per abilitare l'ampliamento."
     },
     "upsell": {
         "inviteTeammates": "Invita collaboratori",
@@ -2119,12 +2140,13 @@
     },
     "whatsNew": {
         "whatsNewInInvoke": "Novità in Invoke",
-        "line2": "Supporto Flux esteso, ora con immagini di riferimento globali",
-        "line3": "Tooltip e menu contestuali migliorati",
         "readReleaseNotes": "Leggi le note di rilascio",
         "watchRecentReleaseVideos": "Guarda i video su questa versione",
-        "line1": "Strumento <ItalicComponent>Seleziona oggetto</ItalicComponent> per la selezione e la modifica precise degli oggetti",
-        "watchUiUpdatesOverview": "Guarda le novità dell'interfaccia"
+        "watchUiUpdatesOverview": "Guarda le novità dell'interfaccia",
+        "items": [
+            "<StrongComponent>SD 3.5</StrongComponent>: supporto per SD 3.5 Medium e Large.",
+            "<StrongComponent>Tela</StrongComponent>: elaborazione semplificata del livello di controllo e impostazioni di controllo predefinite migliorate."
+        ]
     },
     "system": {
         "logLevel": {

invokeai/frontend/web/public/locales/ja.json

@@ -16,7 +16,7 @@
         "discordLabel": "Discord",
         "nodes": "ワークフロー",
         "txt2img": "txt2img",
-        "postprocessing": "Post Processing",
+        "postprocessing": "ポストプロセス",
         "t2iAdapter": "T2I アダプター",
         "communityLabel": "コミュニティ",
         "dontAskMeAgain": "次回から確認しない",
@@ -71,8 +71,8 @@
         "orderBy": "並び順:",
         "enabled": "有効",
         "notInstalled": "未インストール",
-        "positivePrompt": "プロンプト",
-        "negativePrompt": "除外する要素",
+        "positivePrompt": "ポジティブプロンプト",
+        "negativePrompt": "ネガティブプロンプト",
         "selected": "選択済み",
         "aboutDesc": "Invokeを業務で利用する場合はマークしてください:",
         "beta": "ベータ",
@@ -80,7 +80,20 @@
         "editor": "エディタ",
         "safetensors": "Safetensors",
         "tab": "タブ",
-        "toResolve": "解決方法"
+        "toResolve": "解決方法",
+        "openInViewer": "ビューアで開く",
+        "placeholderSelectAModel": "モデルを選択",
+        "clipboard": "クリップボード",
+        "apply": "適用",
+        "loadingImage": "画像をロード中",
+        "off": "オフ",
+        "view": "ビュー",
+        "edit": "編集",
+        "ok": "OK",
+        "reset": "リセット",
+        "none": "なし",
+        "new": "新規",
+        "close": "閉じる"
     },
     "gallery": {
         "galleryImageSize": "画像のサイズ",
@@ -125,12 +138,114 @@
         "compareHelp1": "<Kbd>Alt</Kbd> キーを押しながらギャラリー画像をクリックするか、矢印キーを使用して比較画像を変更します。",
         "compareHelp3": "<Kbd>C</Kbd>を押して、比較した画像を入れ替えます。",
         "compareHelp4": "<Kbd>[Z</Kbd>]または<Kbd>[Esc</Kbd>]を押して終了します。",
-        "compareHelp2": "<Kbd>M</Kbd> キーを押して比較モードを切り替えます。"
+        "compareHelp2": "<Kbd>M</Kbd> キーを押して比較モードを切り替えます。",
+        "move": "移動",
+        "openViewer": "ビューアを開く",
+        "closeViewer": "ビューアを閉じる",
+        "exitSearch": "画像検索を終了",
+        "oldestFirst": "最古から",
+        "showStarredImagesFirst": "スター付き画像を最初に",
+        "exitBoardSearch": "ボード検索を終了",
+        "showArchivedBoards": "アーカイブされたボードを表示",
+        "searchImages": "メタデータで検索",
+        "gallery": "ギャラリー",
+        "newestFirst": "最新から",
+        "jump": "ジャンプ",
+        "go": "進む",
+        "sortDirection": "並び替え順",
+        "displayBoardSearch": "ボード検索",
+        "displaySearch": "画像を検索",
+        "boardsSettings": "ボード設定",
+        "imagesSettings": "ギャラリー画像設定"
     },
     "hotkeys": {
         "searchHotkeys": "ホットキーを検索",
         "clearSearch": "検索をクリア",
-        "noHotkeysFound": "ホットキーが見つかりません"
+        "noHotkeysFound": "ホットキーが見つかりません",
+        "viewer": {
+            "runPostprocessing": {
+                "title": "ポストプロセスを実行"
+            },
+            "useSize": {
+                "title": "サイズを使用"
+            },
+            "recallPrompts": {
+                "title": "プロンプトを再使用"
+            },
+            "recallAll": {
+                "title": "全てのメタデータを再使用"
+            },
+            "recallSeed": {
+                "title": "シード値を再使用"
+            }
+        },
+        "canvas": {
+            "redo": {
+                "title": "やり直し"
+            },
+            "transformSelected": {
+                "title": "変形"
+            },
+            "undo": {
+                "title": "取り消し"
+            },
+            "selectEraserTool": {
+                "title": "消しゴムツール"
+            },
+            "cancelTransform": {
+                "title": "変形をキャンセル"
+            },
+            "resetSelected": {
+                "title": "レイヤーをリセット"
+            },
+            "applyTransform": {
+                "title": "変形を適用"
+            },
+            "selectColorPickerTool": {
+                "title": "スポイトツール"
+            },
+            "fitBboxToCanvas": {
+                "title": "バウンディングボックスをキャンバスにフィット"
+            },
+            "selectBrushTool": {
+                "title": "ブラシツール"
+            },
+            "selectMoveTool": {
+                "title": "移動ツール"
+            },
+            "selectBboxTool": {
+                "title": "バウンディングボックスツール"
+            },
+            "title": "キャンバス",
+            "fitLayersToCanvas": {
+                "title": "レイヤーをキャンバスにフィット"
+            }
+        },
+        "workflows": {
+            "undo": {
+                "title": "取り消し"
+            },
+            "redo": {
+                "title": "やり直し"
+            }
+        },
+        "app": {
+            "toggleLeftPanel": {
+                "title": "左パネルをトグル",
+                "desc": "左パネルを表示または非表示。"
+            },
+            "title": "アプリケーション",
+            "invoke": {
+                "title": "Invoke"
+            },
+            "cancelQueueItem": {
+                "title": "キャンセル"
+            },
+            "clearQueue": {
+                "title": "キューをクリア"
+            }
+        },
+        "hotkeys": "ホットキー"
     },
     "modelManager": {
         "modelManager": "モデルマネージャ",
@@ -165,7 +280,7 @@
         "convertToDiffusers": "ディフューザーに変換",
         "alpha": "アルファ",
         "modelConverted": "モデル変換が完了しました",
-        "predictionType": "予測タイプ（安定したディフュージョン 2.x モデルおよび一部の安定したディフュージョン 1.x モデル用）",
+        "predictionType": "予測タイプ（SD 2.x モデルおよび一部のSD 1.x モデル用）",
         "selectModel": "モデルを選択",
         "advanced": "高度な設定",
         "modelDeleted": "モデルが削除されました",
@@ -178,7 +293,9 @@
         "convertToDiffusersHelpText1": "このモデルは 🧨 Diffusers フォーマットに変換されます。",
         "convertToDiffusersHelpText3": "チェックポイントファイルは、InvokeAIルートフォルダ内にある場合、ディスクから削除されます。カスタムロケーションにある場合は、削除されません。",
         "convertToDiffusersHelpText4": "これは一回限りのプロセスです。コンピュータの仕様によっては、約30秒から60秒かかる可能性があります。",
-        "cancel": "キャンセル"
+        "cancel": "キャンセル",
+        "uploadImage": "画像をアップロード",
+        "addModels": "モデルを追加"
     },
     "parameters": {
         "images": "画像",
@@ -200,7 +317,19 @@
         "info": "情報",
         "showOptionsPanel": "オプションパネルを表示",
         "iterations": "生成回数",
-        "general": "基本設定"
+        "general": "基本設定",
+        "setToOptimalSize": "サイズをモデルに最適化",
+        "invoke": {
+            "addingImagesTo": "画像の追加先"
+        },
+        "aspect": "縦横比",
+        "lockAspectRatio": "縦横比を固定",
+        "scheduler": "スケジューラー",
+        "sendToUpscale": "アップスケーラーに転送",
+        "useSize": "サイズを使用",
+        "postProcessing": "ポストプロセス (Shift + U)",
+        "denoisingStrength": "ノイズ除去強度",
+        "recallMetadata": "メタデータを再使用"
     },
     "settings": {
         "models": "モデル",
@@ -213,7 +342,11 @@
     },
     "toast": {
         "uploadFailed": "アップロード失敗",
-        "imageCopied": "画像をコピー"
+        "imageCopied": "画像をコピー",
+        "imageUploadFailed": "画像のアップロードに失敗しました",
+        "uploadFailedInvalidUploadDesc": "画像はPNGかJPGである必要があります。",
+        "sentToUpscale": "アップスケーラーに転送しました",
+        "imageUploaded": "画像をアップロードしました"
     },
     "accessibility": {
         "invokeProgressBar": "進捗バー",
@@ -226,7 +359,10 @@
         "resetUI": "$t(accessibility.reset) UI",
         "mode": "モード:",
         "about": "Invoke について",
-        "submitSupportTicket": "サポート依頼を送信する"
+        "submitSupportTicket": "サポート依頼を送信する",
+        "uploadImages": "画像をアップロード",
+        "toggleLeftPanel": "左パネルをトグル (T)",
+        "toggleRightPanel": "右パネルをトグル (G)"
     },
     "metadata": {
         "Threshold": "ノイズ閾値",
@@ -237,7 +373,8 @@
         "scheduler": "スケジューラー",
         "positivePrompt": "ポジティブプロンプト",
         "strength": "Image to Image 強度",
-        "recallParameters": "パラメータを呼び出す"
+        "recallParameters": "パラメータを再使用",
+        "recallParameter": "{{label}} を再使用"
     },
     "queue": {
         "queueEmpty": "キューが空です",
@@ -297,14 +434,22 @@
         "prune": "刈り込み",
         "prompts_other": "プロンプト",
         "iterations_other": "繰り返し",
-        "generations_other": "生成"
+        "generations_other": "生成",
+        "canvas": "キャンバス",
+        "workflows": "ワークフロー",
+        "upscaling": "アップスケール",
+        "generation": "生成",
+        "other": "その他",
+        "gallery": "ギャラリー"
     },
     "models": {
         "noMatchingModels": "一致するモデルがありません",
         "loading": "読み込み中",
         "noMatchingLoRAs": "一致するLoRAがありません",
         "noModelsAvailable": "使用可能なモデルがありません",
-        "selectModel": "モデルを選択してください"
+        "selectModel": "モデルを選択してください",
+        "concepts": "コンセプト",
+        "addLora": "LoRAを追加"
     },
     "nodes": {
         "addNode": "ノードを追加",
@@ -339,7 +484,8 @@
         "cannotConnectOutputToOutput": "出力から出力には接続できません",
         "cannotConnectToSelf": "自身のノードには接続できません",
         "colorCodeEdges": "カラー-Code Edges",
-        "loadingNodes": "ノードを読み込み中..."
+        "loadingNodes": "ノードを読み込み中...",
+        "scheduler": "スケジューラー"
     },
     "boards": {
         "autoAddBoard": "自動追加するボード",
@@ -362,7 +508,18 @@
         "deleteBoardAndImages": "ボードと画像の削除",
         "deleteBoardOnly": "ボードのみ削除",
         "deletedBoardsCannotbeRestored": "削除されたボードは復元できません",
-        "movingImagesToBoard_other": "{{count}} の画像をボードに移動:"
+        "movingImagesToBoard_other": "{{count}} の画像をボードに移動:",
+        "hideBoards": "ボードを隠す",
+        "assetsWithCount_other": "{{count}} のアセット",
+        "addPrivateBoard": "プライベートボードを追加",
+        "addSharedBoard": "共有ボードを追加",
+        "boards": "ボード",
+        "private": "プライベートボード",
+        "shared": "共有ボード",
+        "archiveBoard": "ボードをアーカイブ",
+        "archived": "アーカイブ完了",
+        "unarchiveBoard": "アーカイブされていないボード",
+        "imagesWithCount_other": "{{count}} の画像"
     },
     "invocationCache": {
         "invocationCache": "呼び出しキャッシュ",
@@ -387,6 +544,33 @@
             "paragraphs": [
                 "生成された画像の縦横比。"
             ]
+        },
+        "regionalGuidanceAndReferenceImage": {
+            "heading": "領域ガイダンスと領域参照画像"
+        },
+        "regionalReferenceImage": {
+            "heading": "領域参照画像"
+        },
+        "paramScheduler": {
+            "heading": "スケジューラー"
+        },
+        "regionalGuidance": {
+            "heading": "領域ガイダンス"
+        },
+        "rasterLayer": {
+            "heading": "ラスターレイヤー"
+        },
+        "globalReferenceImage": {
+            "heading": "全域参照画像"
+        },
+        "paramUpscaleMethod": {
+            "heading": "アップスケール手法"
+        },
+        "upscaleModel": {
+            "heading": "アップスケールモデル"
+        },
+        "paramAspect": {
+            "heading": "縦横比"
         }
     },
     "accordions": {
@@ -427,5 +611,79 @@
         "tabs": {
             "queue": "キュー"
         }
+    },
+    "controlLayers": {
+        "globalReferenceImage_withCount_other": "全域参照画像",
+        "regionalReferenceImage": "領域参照画像",
+        "saveLayerToAssets": "レイヤーをアセットに保存",
+        "global": "全域",
+        "inpaintMasks_withCount_hidden": "インペイントマスク ({{count}} hidden)",
+        "opacity": "透明度",
+        "canvasContextMenu": {
+            "newRegionalGuidance": "新規領域ガイダンス",
+            "bboxGroup": "バウンディングボックスから作成",
+            "cropCanvasToBbox": "キャンバスをバウンディングボックスでクロップ",
+            "newGlobalReferenceImage": "新規全域参照画像",
+            "newRegionalReferenceImage": "新規領域参照画像"
+        },
+        "regionalGuidance": "領域ガイダンス",
+        "globalReferenceImage": "全域参照画像",
+        "moveForward": "前面へ移動",
+        "copyInpaintMaskTo": "$t(controlLayers.inpaintMask) をコピー",
+        "transform": {
+            "fitToBbox": "バウンディングボックスにフィット",
+            "transform": "変形",
+            "apply": "適用",
+            "cancel": "キャンセル",
+            "reset": "リセット"
+        },
+        "cropLayerToBbox": "レイヤーをバウンディングボックスでクロップ",
+        "convertInpaintMaskTo": "$t(controlLayers.inpaintMask)を変換",
+        "regionalGuidance_withCount_other": "領域ガイダンス",
+        "tool": {
+            "colorPicker": "スポイト",
+            "brush": "ブラシ",
+            "rectangle": "矩形",
+            "move": "移動",
+            "eraser": "消しゴム"
+        },
+        "saveCanvasToGallery": "キャンバスをギャラリーに保存",
+        "saveBboxToGallery": "バウンディングボックスをギャラリーへ保存",
+        "moveToBack": "最背面へ移動",
+        "duplicate": "複製",
+        "addLayer": "レイヤーを追加",
+        "rasterLayer": "ラスターレイヤー",
+        "inpaintMasks_withCount_visible": "({{count}}) インペイントマスク",
+        "regional": "領域",
+        "rectangle": "矩形",
+        "moveBackward": "背面へ移動",
+        "moveToFront": "最前面へ移動",
+        "mergeDown": "レイヤーを統合",
+        "inpaintMask_withCount_other": "インペイントマスク",
+        "canvas": "キャンバス",
+        "fitBboxToLayers": "バウンディングボックスをレイヤーにフィット",
+        "removeBookmark": "ブックマークを外す",
+        "savedToGalleryOk": "ギャラリーに保存しました"
+    },
+    "stylePresets": {
+        "clearTemplateSelection": "選択したテンプレートをクリア",
+        "choosePromptTemplate": "プロンプトテンプレートを選択",
+        "myTemplates": "自分のテンプレート",
+        "flatten": "選択中のテンプレートをプロンプトに展開",
+        "uploadImage": "画像をアップロード",
+        "defaultTemplates": "デフォルトテンプレート",
+        "createPromptTemplate": "プロンプトテンプレートを作成",
+        "promptTemplateCleared": "プロンプトテンプレートをクリアしました",
+        "searchByName": "名前で検索",
+        "toggleViewMode": "表示モードを切り替え"
+    },
+    "upscaling": {
+        "upscaleModel": "アップスケールモデル",
+        "postProcessingModel": "ポストプロセスモデル",
+        "upscale": "アップスケール"
+    },
+    "sdxl": {
+        "denoisingStrength": "ノイズ除去強度",
+        "scheduler": "スケジューラー"
     }
 }

invokeai/frontend/web/public/locales/ru.json

@@ -1660,7 +1660,6 @@
         "clearCaches": "Очистить кэши",
         "recalculateRects": "Пересчитать прямоугольники",
         "saveBboxToGallery": "Сохранить рамку в галерею",
-        "resetCanvas": "Сбросить холст",
         "canvas": "Холст",
         "global": "Глобальный",
         "newGlobalReferenceImageError": "Проблема с созданием глобального эталонного изображения",

invokeai/frontend/web/public/locales/zh_CN.json

@@ -96,7 +96,9 @@
         "view": "视图",
         "alpha": "透明度通道",
         "openInViewer": "在查看器中打开",
-        "clipboard": "剪贴板"
+        "clipboard": "剪贴板",
+        "loadingModel": "加载模型",
+        "generating": "生成中"
     },
     "gallery": {
         "galleryImageSize": "预览大小",
@@ -587,7 +589,27 @@
         "huggingFace": "HuggingFace",
         "hfTokenInvalid": "HF 令牌无效或缺失",
         "hfTokenLabel": "HuggingFace 令牌（某些模型所需）",
-        "hfTokenHelperText": "使用某些模型需要 HF 令牌。点击这里创建或获取你的令牌。"
+        "hfTokenHelperText": "使用某些模型需要 HF 令牌。点击这里创建或获取你的令牌。",
+        "includesNModels": "包括 {{n}} 个模型及其依赖项",
+        "starterBundles": "启动器包",
+        "learnMoreAboutSupportedModels": "了解更多关于我们支持的模型的信息",
+        "hfForbidden": "您没有权限访问这个 HF 模型",
+        "hfTokenInvalidErrorMessage": "无效或缺失 HuggingFace 令牌。",
+        "hfTokenRequired": "您正在尝试下载一个需要有效 HuggingFace 令牌的模型。",
+        "hfTokenSaved": "HF 令牌已保存",
+        "hfForbiddenErrorMessage": "我们建议访问 HuggingFace.com 上的仓库页面。所有者可能要求您接受条款才能下载。",
+        "hfTokenUnableToVerifyErrorMessage": "无法验证 HuggingFace 令牌。这可能是由于网络错误导致的。请稍后再试。",
+        "hfTokenInvalidErrorMessage2": "在这里更新它。 ",
+        "hfTokenUnableToVerify": "无法验证 HF 令牌",
+        "skippingXDuplicates_other": "跳过 {{count}} 个重复项",
+        "starterBundleHelpText": "轻松安装所有用于启动基础模型所需的模型，包括主模型、ControlNets、IP适配器等。选择一个安装包时，会跳过已安装的模型。",
+        "installingBundle": "正在安装模型包",
+        "installingModel": "正在安装模型",
+        "installingXModels_other": "正在安装 {{count}} 个模型",
+        "t5Encoder": "T5 编码器",
+        "clipLEmbed": "CLIP-L 嵌入",
+        "clipGEmbed": "CLIP-G 嵌入",
+        "loraModels": "LoRAs（低秩适配）"
     },
     "parameters": {
         "images": "图像",
@@ -646,8 +668,23 @@
                 "controlAdapterIncompatibleBaseModel": "Control Adapter的基础模型不兼容",
                 "ipAdapterIncompatibleBaseModel": "IP Adapter的基础模型不兼容",
                 "ipAdapterNoImageSelected": "未选择IP Adapter图像",
-                "rgNoRegion": "未选择区域"
-            }
+                "rgNoRegion": "未选择区域",
+                "t2iAdapterIncompatibleBboxWidth": "$t(parameters.invoke.layer.t2iAdapterRequiresDimensionsToBeMultipleOf) {{multiple}}，边界框宽度为 {{width}}",
+                "t2iAdapterIncompatibleScaledBboxHeight": "$t(parameters.invoke.layer.t2iAdapterRequiresDimensionsToBeMultipleOf) {{multiple}}，缩放后的边界框高度为 {{height}}",
+                "t2iAdapterIncompatibleBboxHeight": "$t(parameters.invoke.layer.t2iAdapterRequiresDimensionsToBeMultipleOf) {{multiple}}，边界框高度为 {{height}}",
+                "t2iAdapterIncompatibleScaledBboxWidth": "$t(parameters.invoke.layer.t2iAdapterRequiresDimensionsToBeMultipleOf) {{multiple}}，缩放后的边界框宽度为 {{width}}"
+            },
+            "canvasIsFiltering": "画布正在过滤",
+            "fluxModelIncompatibleScaledBboxHeight": "$t(parameters.invoke.fluxRequiresDimensionsToBeMultipleOf16)，缩放后的边界框高度为 {{height}}",
+            "noCLIPEmbedModelSelected": "未为FLUX生成选择CLIP嵌入模型",
+            "noFLUXVAEModelSelected": "未为FLUX生成选择VAE模型",
+            "canvasIsRasterizing": "画布正在栅格化",
+            "canvasIsCompositing": "画布正在合成",
+            "fluxModelIncompatibleBboxWidth": "$t(parameters.invoke.fluxRequiresDimensionsToBeMultipleOf16)，边界框宽度为 {{width}}",
+            "fluxModelIncompatibleScaledBboxWidth": "$t(parameters.invoke.fluxRequiresDimensionsToBeMultipleOf16)，缩放后的边界框宽度为 {{width}}",
+            "noT5EncoderModelSelected": "未为FLUX生成选择T5编码器模型",
+            "fluxModelIncompatibleBboxHeight": "$t(parameters.invoke.fluxRequiresDimensionsToBeMultipleOf16)，边界框高度为 {{height}}",
+            "canvasIsTransforming": "画布正在变换"
         },
         "patchmatchDownScaleSize": "缩小",
         "clipSkip": "CLIP 跳过层",
@@ -669,7 +706,15 @@
         "sendToUpscale": "发送到放大",
         "processImage": "处理图像",
         "infillColorValue": "填充颜色",
-        "coherenceMinDenoise": "最小去噪"
+        "coherenceMinDenoise": "最小去噪",
+        "sendToCanvas": "发送到画布",
+        "disabledNoRasterContent": "已禁用（无栅格内容）",
+        "optimizedImageToImage": "优化的图生图",
+        "guidance": "引导",
+        "gaussianBlur": "高斯模糊",
+        "recallMetadata": "调用元数据",
+        "boxBlur": "方框模糊",
+        "staged": "已分阶段处理"
     },
     "settings": {
         "models": "模型",
@@ -699,7 +744,12 @@
         "enableInformationalPopovers": "启用信息弹窗",
         "reloadingIn": "重新加载中",
         "informationalPopoversDisabled": "信息提示框已禁用",
-        "informationalPopoversDisabledDesc": "信息提示框已被禁用.请在设置中重新启用."
+        "informationalPopoversDisabledDesc": "信息提示框已被禁用.请在设置中重新启用.",
+        "enableModelDescriptions": "在下拉菜单中启用模型描述",
+        "confirmOnNewSession": "新会话时确认",
+        "modelDescriptionsDisabledDesc": "下拉菜单中的模型描述已被禁用。可在设置中启用。",
+        "modelDescriptionsDisabled": "下拉菜单中的模型描述已禁用",
+        "showDetailedInvocationProgress": "显示进度详情"
     },
     "toast": {
         "uploadFailed": "上传失败",
@@ -740,7 +790,24 @@
         "errorCopied": "错误信息已复制",
         "modelImportCanceled": "模型导入已取消",
         "importFailed": "导入失败",
-        "importSuccessful": "导入成功"
+        "importSuccessful": "导入成功",
+        "layerSavedToAssets": "图层已保存到资产",
+        "sentToUpscale": "已发送到放大处理",
+        "addedToUncategorized": "已添加到看板 $t(boards.uncategorized) 的资产中",
+        "linkCopied": "链接已复制",
+        "uploadFailedInvalidUploadDesc_withCount_other": "最多只能上传 {{count}} 张 PNG 或 JPEG 图像。",
+        "problemSavingLayer": "无法保存图层",
+        "unableToLoadImage": "无法加载图像",
+        "imageNotLoadedDesc": "无法找到图像",
+        "unableToLoadStylePreset": "无法加载样式预设",
+        "stylePresetLoaded": "样式预设已加载",
+        "problemCopyingLayer": "无法复制图层",
+        "sentToCanvas": "已发送到画布",
+        "unableToLoadImageMetadata": "无法加载图像元数据",
+        "imageSaved": "图像已保存",
+        "imageSavingFailed": "图像保存失败",
+        "layerCopiedToClipboard": "图层已复制到剪贴板",
+        "imagesWillBeAddedTo": "上传的图像将添加到看板 {{boardName}} 的资产中。"
     },
     "accessibility": {
         "invokeProgressBar": "Invoke 进度条",
@@ -890,7 +957,12 @@
         "clearWorkflow": "清除工作流",
         "imageAccessError": "无法找到图像 {{image_name}}，正在恢复默认设置",
         "boardAccessError": "无法找到面板 {{board_id}}，正在恢复默认设置",
-        "modelAccessError": "无法找到模型 {{key}}，正在恢复默认设置"
+        "modelAccessError": "无法找到模型 {{key}}，正在恢复默认设置",
+        "noWorkflows": "无工作流程",
+        "workflowHelpText": "需要帮助？请查看我们的《<LinkComponent>工作流程入门指南</LinkComponent>》。",
+        "noMatchingWorkflows": "无匹配的工作流程",
+        "saveToGallery": "保存到图库",
+        "singleFieldType": "{{name}}（单一模型）"
     },
     "queue": {
         "status": "状态",
@@ -1221,7 +1293,8 @@
             "heading": "去噪强度",
             "paragraphs": [
                 "为输入图像添加的噪声量。",
-                "输入 0 会导致结果图像和输入完全相同，输入 1 则会生成全新的图像。"
+                "输入 0 会导致结果图像和输入完全相同，输入 1 则会生成全新的图像。",
+                "当没有具有可见内容的栅格图层时，此设置将被忽略。"
             ]
         },
         "paramSeed": {
@@ -1410,7 +1483,8 @@
             "paragraphs": [
                 "控制提示对生成过程的影响程度.",
                 "与生成CFG Scale相似."
-            ]
+            ],
+            "heading": "CFG比例"
         },
         "structure": {
             "heading": "结构",
@@ -1441,6 +1515,62 @@
             "paragraphs": [
                 "比例控制决定了输出图像的大小,它是基于输入图像分辨率的倍数来计算的.例如对一张1024x1024的图像进行2倍上采样，将会得到一张2048x2048的输出图像."
             ]
+        },
+        "globalReferenceImage": {
+            "heading": "全局参考图像",
+            "paragraphs": [
+                "应用参考图像以影响整个生成过程。"
+            ]
+        },
+        "rasterLayer": {
+            "paragraphs": [
+                "画布的基于像素的内容，用于图像生成过程。"
+            ],
+            "heading": "栅格图层"
+        },
+        "regionalGuidanceAndReferenceImage": {
+            "paragraphs": [
+                "对于区域引导，使用画笔引导全局提示中的元素应出现的位置。",
+                "对于区域参考图像，使用画笔将参考图像应用到特定区域。"
+            ],
+            "heading": "区域引导与区域参考图像"
+        },
+        "regionalReferenceImage": {
+            "heading": "区域参考图像",
+            "paragraphs": [
+                "使用画笔将参考图像应用到特定区域。"
+            ]
+        },
+        "optimizedDenoising": {
+            "heading": "优化的图生图",
+            "paragraphs": [
+                "启用‘优化的图生图’功能，可在使用 Flux 模型进行图生图和图像修复转换时提供更平滑的降噪强度调节。此设置可以提高对图像变化程度的控制能力，但如果您更倾向于使用标准的降噪强度调节方式，也可以关闭此功能。该设置仍在优化中，目前处于测试阶段。"
+            ]
+        },
+        "inpainting": {
+            "paragraphs": [
+                "控制由降噪强度引导的修改区域。"
+            ],
+            "heading": "图像重绘"
+        },
+        "regionalGuidance": {
+            "heading": "区域引导",
+            "paragraphs": [
+                "使用画笔引导全局提示中的元素应出现的位置。"
+            ]
+        },
+        "fluxDevLicense": {
+            "heading": "非商业许可",
+            "paragraphs": [
+                "FLUX.1 [dev] 模型受 FLUX [dev] 非商业许可协议的约束。如需在 Invoke 中将此模型类型用于商业目的，请访问我们的网站了解更多信息。"
+            ]
+        },
+        "paramGuidance": {
+            "paragraphs": [
+                "控制提示对生成过程的影响程度。",
+                "较高的引导值可能导致过度饱和，而过高或过低的引导值可能导致生成结果失真。引导仅适用于FLUX DEV模型。"
+            ],
+            "heading": "引导"
         }
     },
     "invocationCache": {
@@ -1503,7 +1633,18 @@
         "convertGraph": "转换图表",
         "loadWorkflow": "$t(common.load) 工作流",
         "loadFromGraph": "从图表加载工作流",
-        "autoLayout": "自动布局"
+        "autoLayout": "自动布局",
+        "edit": "编辑",
+        "copyShareLinkForWorkflow": "复制工作流程的分享链接",
+        "delete": "删除",
+        "download": "下载",
+        "defaultWorkflows": "默认工作流程",
+        "userWorkflows": "用户工作流程",
+        "projectWorkflows": "项目工作流程",
+        "copyShareLink": "复制分享链接",
+        "chooseWorkflowFromLibrary": "从库中选择工作流程",
+        "uploadAndSaveWorkflow": "上传到库",
+        "deleteWorkflow2": "您确定要删除此工作流程吗？此操作无法撤销。"
     },
     "accordions": {
         "compositing": {
@@ -1542,7 +1683,108 @@
         "addPositivePrompt": "添加 $t(controlLayers.prompt)",
         "addNegativePrompt": "添加 $t(controlLayers.negativePrompt)",
         "rectangle": "矩形",
-        "opacity": "透明度"
+        "opacity": "透明度",
+        "canvas": "画布",
+        "fitBboxToLayers": "将边界框适配到图层",
+        "cropLayerToBbox": "将图层裁剪到边界框",
+        "saveBboxToGallery": "将边界框保存到图库",
+        "savedToGalleryOk": "已保存到图库",
+        "saveLayerToAssets": "将图层保存到资产",
+        "removeBookmark": "移除书签",
+        "regional": "区域",
+        "saveCanvasToGallery": "将画布保存到图库",
+        "global": "全局",
+        "bookmark": "添加书签以快速切换",
+        "regionalReferenceImage": "局部参考图像",
+        "mergingLayers": "正在合并图层",
+        "newControlLayerError": "创建控制层时出现问题",
+        "pullBboxIntoReferenceImageError": "将边界框导入参考图像时出现问题",
+        "mergeVisibleOk": "已合并图层",
+        "maskFill": "遮罩填充",
+        "newCanvasFromImage": "从图像创建新画布",
+        "pullBboxIntoReferenceImageOk": "边界框已导入到参考图像",
+        "globalReferenceImage_withCount_other": "全局参考图像",
+        "addInpaintMask": "添加 $t(controlLayers.inpaintMask)",
+        "referenceImage": "参考图像",
+        "globalReferenceImage": "全局参考图像",
+        "newRegionalGuidance": "新建 $t(controlLayers.regionalGuidance)",
+        "savedToGalleryError": "保存到图库时出错",
+        "copyRasterLayerTo": "复制 $t(controlLayers.rasterLayer) 到",
+        "clearHistory": "清除历史记录",
+        "inpaintMask": "修复遮罩",
+        "regionalGuidance_withCount_visible": "区域引导（{{count}} 个）",
+        "inpaintMasks_withCount_hidden": "修复遮罩（{{count}} 个已隐藏）",
+        "enableAutoNegative": "启用自动负面提示",
+        "disableAutoNegative": "禁用自动负面提示",
+        "deleteReferenceImage": "删除参考图像",
+        "sendToCanvas": "发送到画布",
+        "controlLayers_withCount_visible": "控制图层（{{count}} 个）",
+        "rasterLayers_withCount_visible": "栅格图层（{{count}} 个）",
+        "convertRegionalGuidanceTo": "将 $t(controlLayers.regionalGuidance) 转换为",
+        "newInpaintMask": "新建 $t(controlLayers.inpaintMask)",
+        "regionIsEmpty": "选定区域为空",
+        "mergeVisible": "合并可见图层",
+        "showHUD": "显示 HUD（抬头显示）",
+        "newLayerFromImage": "从图像创建新图层",
+        "layer_other": "图层",
+        "transparency": "透明度",
+        "addRasterLayer": "添加 $t(controlLayers.rasterLayer)",
+        "newRasterLayerOk": "已创建栅格层",
+        "newRasterLayerError": "创建栅格层时出现问题",
+        "inpaintMasks_withCount_visible": "修复遮罩（{{count}} 个）",
+        "convertRasterLayerTo": "将 $t(controlLayers.rasterLayer) 转换为",
+        "copyControlLayerTo": "复制 $t(controlLayers.controlLayer) 到",
+        "copyInpaintMaskTo": "复制 $t(controlLayers.inpaintMask) 到",
+        "copyRegionalGuidanceTo": "复制 $t(controlLayers.regionalGuidance) 到",
+        "newRasterLayer": "新建 $t(controlLayers.rasterLayer)",
+        "newControlLayer": "新建 $t(controlLayers.controlLayer)",
+        "newImg2ImgCanvasFromImage": "从图像创建新的图生图",
+        "rasterLayer": "栅格层",
+        "controlLayer": "控制层",
+        "outputOnlyMaskedRegions": "仅输出生成的区域",
+        "addControlLayer": "添加 $t(controlLayers.controlLayer)",
+        "newGlobalReferenceImageOk": "已创建全局参考图像",
+        "newGlobalReferenceImageError": "创建全局参考图像时出现问题",
+        "newRegionalReferenceImageOk": "已创建局部参考图像",
+        "newControlLayerOk": "已创建控制层",
+        "mergeVisibleError": "合并图层时出错",
+        "bboxOverlay": "显示边界框覆盖层",
+        "clipToBbox": "将Clip限制到边界框",
+        "width": "宽度",
+        "addGlobalReferenceImage": "添加 $t(controlLayers.globalReferenceImage)",
+        "inpaintMask_withCount_other": "修复遮罩",
+        "regionalGuidance_withCount_other": "区域引导",
+        "newRegionalReferenceImageError": "创建局部参考图像时出现问题",
+        "pullBboxIntoLayerError": "将边界框导入图层时出现问题",
+        "pullBboxIntoLayerOk": "边界框已导入到图层",
+        "sendToCanvasDesc": "按下“Invoke”按钮会将您的工作进度暂存到画布上。",
+        "sendToGallery": "发送到图库",
+        "sendToGalleryDesc": "按下“Invoke”键会生成并保存一张唯一的图像到您的图库中。",
+        "rasterLayer_withCount_other": "栅格图层",
+        "mergeDown": "向下合并",
+        "clearCaches": "清除缓存",
+        "recalculateRects": "重新计算矩形",
+        "duplicate": "复制",
+        "regionalGuidance_withCount_hidden": "区域引导（{{count}} 个已隐藏）",
+        "convertControlLayerTo": "将 $t(controlLayers.controlLayer) 转换为",
+        "convertInpaintMaskTo": "将 $t(controlLayers.inpaintMask) 转换为",
+        "viewProgressInViewer": "在 <Btn>图像查看器</Btn> 中查看进度和输出结果。",
+        "viewProgressOnCanvas": "在 <Btn>画布</Btn> 上查看进度和暂存的输出内容。",
+        "sendingToGallery": "将生成内容发送到图库",
+        "copyToClipboard": "复制到剪贴板",
+        "controlLayer_withCount_other": "控制图层",
+        "sendingToCanvas": "在画布上准备生成",
+        "addReferenceImage": "添加 $t(controlLayers.referenceImage)",
+        "addRegionalGuidance": "添加 $t(controlLayers.regionalGuidance)",
+        "controlLayers_withCount_hidden": "控制图层（{{count}} 个已隐藏）",
+        "rasterLayers_withCount_hidden": "栅格图层（{{count}} 个已隐藏）",
+        "globalReferenceImages_withCount_hidden": "全局参考图像（{{count}} 个已隐藏）",
+        "globalReferenceImages_withCount_visible": "全局参考图像（{{count}} 个）",
+        "layer_withCount_other": "图层（{{count}} 个）",
+        "enableTransparencyEffect": "启用透明效果",
+        "disableTransparencyEffect": "禁用透明效果",
+        "hidingType": "隐藏 {{type}}",
+        "showingType": "显示 {{type}}"
     },
     "ui": {
         "tabs": {

invokeai/frontend/web/src/app/components/App.tsx

@@ -27,6 +27,7 @@ import { ClearQueueConfirmationsAlertDialog } from 'features/queue/components/Cl
 import { DeleteStylePresetDialog } from 'features/stylePresets/components/DeleteStylePresetDialog';
 import { StylePresetModal } from 'features/stylePresets/components/StylePresetForm/StylePresetModal';
 import RefreshAfterResetModal from 'features/system/components/SettingsModal/RefreshAfterResetModal';
+import { VideosModal } from 'features/system/components/VideosModal/VideosModal';
 import { configChanged } from 'features/system/store/configSlice';
 import { selectLanguage } from 'features/system/store/systemSelectors';
 import { AppContent } from 'features/ui/components/AppContent';
@@ -108,6 +109,7 @@ const App = ({ config = DEFAULT_CONFIG, studioInitAction }: Props) => {
       <NewCanvasSessionDialog />
       <ImageContextMenu />
       <FullscreenDropzone />
+      <VideosModal />
     </ErrorBoundary>
   );
 };

invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/addAdHocPostProcessingRequestedListener.ts

@@ -4,7 +4,7 @@ import type { AppStartListening } from 'app/store/middleware/listenerMiddleware'
 import { buildAdHocPostProcessingGraph } from 'features/nodes/util/graph/buildAdHocPostProcessingGraph';
 import { toast } from 'features/toast/toast';
 import { t } from 'i18next';
-import { queueApi } from 'services/api/endpoints/queue';
+import { enqueueMutationFixedCacheKeyOptions, queueApi } from 'services/api/endpoints/queue';
 import type { BatchConfig, ImageDTO } from 'services/api/types';
 import type { JsonObject } from 'type-fest';
 
@@ -32,9 +32,7 @@ export const addAdHocPostProcessingRequestedListener = (startAppListening: AppSt
 
       try {
         const req = dispatch(
-          queueApi.endpoints.enqueueBatch.initiate(enqueueBatchArg, {
-            fixedCacheKey: 'enqueueBatch',
-          })
+          queueApi.endpoints.enqueueBatch.initiate(enqueueBatchArg, enqueueMutationFixedCacheKeyOptions)
         );
 
         const enqueueResult = await req.unwrap();

invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedLinear.ts

@@ -13,7 +13,7 @@ import { buildSDXLGraph } from 'features/nodes/util/graph/generation/buildSDXLGr
 import type { Graph } from 'features/nodes/util/graph/generation/Graph';
 import { toast } from 'features/toast/toast';
 import { serializeError } from 'serialize-error';
-import { queueApi } from 'services/api/endpoints/queue';
+import { enqueueMutationFixedCacheKeyOptions, queueApi } from 'services/api/endpoints/queue';
 import type { Invocation } from 'services/api/types';
 import { assert, AssertionError } from 'tsafe';
 import type { JsonObject } from 'type-fest';
@@ -91,9 +91,7 @@ export const addEnqueueRequestedLinear = (startAppListening: AppStartListening)
       }
 
       const req = dispatch(
-        queueApi.endpoints.enqueueBatch.initiate(prepareBatchResult.value, {
-          fixedCacheKey: 'enqueueBatch',
-        })
+        queueApi.endpoints.enqueueBatch.initiate(prepareBatchResult.value, enqueueMutationFixedCacheKeyOptions)
       );
       req.reset();
 

invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedNodes.ts

@@ -1,10 +1,15 @@
+import { logger } from 'app/logging/logger';
 import { enqueueRequested } from 'app/store/actions';
 import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
 import { selectNodesSlice } from 'features/nodes/store/selectors';
+import { isImageFieldCollectionInputInstance } from 'features/nodes/types/field';
+import { isInvocationNode } from 'features/nodes/types/invocation';
 import { buildNodesGraph } from 'features/nodes/util/graph/buildNodesGraph';
 import { buildWorkflowWithValidation } from 'features/nodes/util/workflow/buildWorkflow';
-import { queueApi } from 'services/api/endpoints/queue';
-import type { BatchConfig } from 'services/api/types';
+import { enqueueMutationFixedCacheKeyOptions, queueApi } from 'services/api/endpoints/queue';
+import type { Batch, BatchConfig } from 'services/api/types';
+
+const log = logger('workflows');
 
 export const addEnqueueRequestedNodes = (startAppListening: AppStartListening) => {
   startAppListening({
@@ -26,6 +31,33 @@ export const addEnqueueRequestedNodes = (startAppListening: AppStartListening) =
         delete builtWorkflow.id;
       }
 
+      const data: Batch['data'] = [];
+
+      // Skip edges from batch nodes - these should not be in the graph, they exist only in the UI
+      const imageBatchNodes = nodes.nodes.filter(isInvocationNode).filter((node) => node.data.type === 'image_batch');
+      for (const node of imageBatchNodes) {
+        const images = node.data.inputs['images'];
+        if (!isImageFieldCollectionInputInstance(images)) {
+          log.warn({ nodeId: node.id }, 'Image batch images field is not an image collection');
+          break;
+        }
+        const edgesFromImageBatch = nodes.edges.filter((e) => e.source === node.id && e.sourceHandle === 'image');
+        const batchDataCollectionItem: NonNullable<Batch['data']>[number] = [];
+        for (const edge of edgesFromImageBatch) {
+          if (!edge.targetHandle) {
+            break;
+          }
+          batchDataCollectionItem.push({
+            node_path: edge.target,
+            field_name: edge.targetHandle,
+            items: images.value,
+          });
+        }
+        if (batchDataCollectionItem.length > 0) {
+          data.push(batchDataCollectionItem);
+        }
+      }
+
       const batchConfig: BatchConfig = {
         batch: {
           graph,
@@ -33,15 +65,12 @@ export const addEnqueueRequestedNodes = (startAppListening: AppStartListening) =
           runs: state.params.iterations,
           origin: 'workflows',
           destination: 'gallery',
+          data,
         },
         prepend: action.payload.prepend,
       };
 
-      const req = dispatch(
-        queueApi.endpoints.enqueueBatch.initiate(batchConfig, {
-          fixedCacheKey: 'enqueueBatch',
-        })
-      );
+      const req = dispatch(queueApi.endpoints.enqueueBatch.initiate(batchConfig, enqueueMutationFixedCacheKeyOptions));
       try {
         await req.unwrap();
       } finally {

invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedUpscale.ts

@@ -2,7 +2,7 @@ import { enqueueRequested } from 'app/store/actions';
 import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
 import { prepareLinearUIBatch } from 'features/nodes/util/graph/buildLinearBatchConfig';
 import { buildMultidiffusionUpscaleGraph } from 'features/nodes/util/graph/buildMultidiffusionUpscaleGraph';
-import { queueApi } from 'services/api/endpoints/queue';
+import { enqueueMutationFixedCacheKeyOptions, queueApi } from 'services/api/endpoints/queue';
 
 export const addEnqueueRequestedUpscale = (startAppListening: AppStartListening) => {
   startAppListening({
@@ -16,11 +16,7 @@ export const addEnqueueRequestedUpscale = (startAppListening: AppStartListening)
 
       const batchConfig = prepareLinearUIBatch(state, g, prepend, noise, posCond, 'upscaling', 'gallery');
 
-      const req = dispatch(
-        queueApi.endpoints.enqueueBatch.initiate(batchConfig, {
-          fixedCacheKey: 'enqueueBatch',
-        })
-      );
+      const req = dispatch(queueApi.endpoints.enqueueBatch.initiate(batchConfig, enqueueMutationFixedCacheKeyOptions));
       try {
         await req.unwrap();
       } finally {

invokeai/frontend/web/src/app/types/invokeai.ts

@@ -25,9 +25,7 @@ export type AppFeature =
   | 'invocationCache'
   | 'bulkDownload'
   | 'starterModels'
-  | 'hfToken'
-  | 'invocationProgressAlert';
-
+  | 'hfToken';
 /**
  * A disable-able Stable Diffusion feature
  */

invokeai/frontend/web/src/common/components/OverlayScrollbars/constants.ts

@@ -2,6 +2,7 @@ import { deepClone } from 'common/util/deepClone';
 import { merge } from 'lodash-es';
 import { ClickScrollPlugin, OverlayScrollbars } from 'overlayscrollbars';
 import type { UseOverlayScrollbarsParams } from 'overlayscrollbars-react';
+import type { CSSProperties } from 'react';
 
 OverlayScrollbars.plugin(ClickScrollPlugin);
 
@@ -27,3 +28,8 @@ export const getOverlayScrollbarsParams = (
   merge(params, { options: { overflow: { y: overflowY, x: overflowX } } });
   return params;
 };
+
+export const overlayScrollbarsStyles: CSSProperties = {
+  height: '100%',
+  width: '100%',
+};

invokeai/frontend/web/src/common/components/SessionMenuItems.tsx

@@ -0,0 +1,42 @@
+import { MenuItem } from '@invoke-ai/ui-library';
+import { useAppDispatch } from 'app/store/storeHooks';
+import {
+  useNewCanvasSession,
+  useNewGallerySession,
+} from 'features/controlLayers/components/NewSessionConfirmationAlertDialog';
+import { canvasReset } from 'features/controlLayers/store/actions';
+import { paramsReset } from 'features/controlLayers/store/paramsSlice';
+import { memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
+import { PiArrowsCounterClockwiseBold, PiFilePlusBold } from 'react-icons/pi';
+
+export const SessionMenuItems = memo(() => {
+  const { t } = useTranslation();
+  const dispatch = useAppDispatch();
+  const { newGallerySessionWithDialog } = useNewGallerySession();
+  const { newCanvasSessionWithDialog } = useNewCanvasSession();
+  const resetCanvasLayers = useCallback(() => {
+    dispatch(canvasReset());
+  }, [dispatch]);
+  const resetGenerationSettings = useCallback(() => {
+    dispatch(paramsReset());
+  }, [dispatch]);
+  return (
+    <>
+      <MenuItem icon={<PiFilePlusBold />} onClick={newGallerySessionWithDialog}>
+        {t('controlLayers.newGallerySession')}
+      </MenuItem>
+      <MenuItem icon={<PiFilePlusBold />} onClick={newCanvasSessionWithDialog}>
+        {t('controlLayers.newCanvasSession')}
+      </MenuItem>
+      <MenuItem icon={<PiArrowsCounterClockwiseBold />} onClick={resetCanvasLayers}>
+        {t('controlLayers.resetCanvasLayers')}
+      </MenuItem>
+      <MenuItem icon={<PiArrowsCounterClockwiseBold />} onClick={resetGenerationSettings}>
+        {t('controlLayers.resetGenerationSettings')}
+      </MenuItem>
+    </>
+  );
+});
+
+SessionMenuItems.displayName = 'SessionMenuItems';

invokeai/frontend/web/src/common/hooks/useImageUploadButton.tsx

@@ -141,11 +141,9 @@ export const useImageUploadButton = ({ onUpload, isDisabled, allowMultiple }: Us
 };
 
 const sx = {
-  borderColor: 'error.500',
-  borderStyle: 'solid',
-  borderWidth: 0,
-  borderRadius: 'base',
   '&[data-error=true]': {
+    borderColor: 'error.500',
+    borderStyle: 'solid',
     borderWidth: 1,
   },
 } satisfies SystemStyleObject;
@@ -164,7 +162,34 @@ export const UploadImageButton = ({
     <>
       <IconButton
         aria-label="Upload image"
-        variant="ghost"
+        variant="outline"
+        sx={sx}
+        data-error={isError}
+        icon={<PiUploadBold />}
+        isLoading={uploadApi.request.isLoading}
+        {...rest}
+        {...uploadApi.getUploadButtonProps()}
+      />
+      <input {...uploadApi.getUploadInputProps()} />
+    </>
+  );
+};
+
+export const UploadMultipleImageButton = ({
+  isDisabled = false,
+  onUpload,
+  isError = false,
+  ...rest
+}: {
+  onUpload?: (imageDTOs: ImageDTO[]) => void;
+  isError?: boolean;
+} & SetOptional<IconButtonProps, 'aria-label'>) => {
+  const uploadApi = useImageUploadButton({ isDisabled, allowMultiple: true, onUpload });
+  return (
+    <>
+      <IconButton
+        aria-label="Upload image"
+        variant="outline"
         sx={sx}
         data-error={isError}
         icon={<PiUploadBold />}

invokeai/frontend/web/src/common/hooks/useIsReadyToEnqueue.ts

@@ -1,331 +0,0 @@
-import { useStore } from '@nanostores/react';
-import { createMemoizedSelector } from 'app/store/createMemoizedSelector';
-import { $true } from 'app/store/nanostores/util';
-import { useAppSelector } from 'app/store/storeHooks';
-import { useCanvasManagerSafe } from 'features/controlLayers/contexts/CanvasManagerProviderGate';
-import { selectParamsSlice } from 'features/controlLayers/store/paramsSlice';
-import { selectCanvasSlice } from 'features/controlLayers/store/selectors';
-import { selectDynamicPromptsSlice } from 'features/dynamicPrompts/store/dynamicPromptsSlice';
-import { getShouldProcessPrompt } from 'features/dynamicPrompts/util/getShouldProcessPrompt';
-import { $templates } from 'features/nodes/store/nodesSlice';
-import { selectNodesSlice } from 'features/nodes/store/selectors';
-import type { Templates } from 'features/nodes/store/types';
-import { selectWorkflowSettingsSlice } from 'features/nodes/store/workflowSettingsSlice';
-import { isInvocationNode } from 'features/nodes/types/invocation';
-import { selectUpscaleSlice } from 'features/parameters/store/upscaleSlice';
-import { selectConfigSlice } from 'features/system/store/configSlice';
-import { selectSystemSlice } from 'features/system/store/systemSlice';
-import { selectActiveTab } from 'features/ui/store/uiSelectors';
-import i18n from 'i18next';
-import { forEach, upperFirst } from 'lodash-es';
-import { useMemo } from 'react';
-import { getConnectedEdges } from 'reactflow';
-import { $isConnected } from 'services/events/stores';
-
-const LAYER_TYPE_TO_TKEY = {
-  reference_image: 'controlLayers.referenceImage',
-  inpaint_mask: 'controlLayers.inpaintMask',
-  regional_guidance: 'controlLayers.regionalGuidance',
-  raster_layer: 'controlLayers.rasterLayer',
-  control_layer: 'controlLayers.controlLayer',
-} as const;
-
-const createSelector = (
-  templates: Templates,
-  isConnected: boolean,
-  canvasIsFiltering: boolean,
-  canvasIsTransforming: boolean,
-  canvasIsRasterizing: boolean,
-  canvasIsCompositing: boolean
-) =>
-  createMemoizedSelector(
-    [
-      selectSystemSlice,
-      selectNodesSlice,
-      selectWorkflowSettingsSlice,
-      selectDynamicPromptsSlice,
-      selectCanvasSlice,
-      selectParamsSlice,
-      selectUpscaleSlice,
-      selectConfigSlice,
-      selectActiveTab,
-    ],
-    (system, nodes, workflowSettings, dynamicPrompts, canvas, params, upscale, config, activeTabName) => {
-      const { bbox } = canvas;
-      const { model, positivePrompt } = params;
-
-      const reasons: { prefix?: string; content: string }[] = [];
-
-      // Cannot generate if not connected
-      if (!isConnected) {
-        reasons.push({ content: i18n.t('parameters.invoke.systemDisconnected') });
-      }
-
-      if (activeTabName === 'workflows') {
-        if (workflowSettings.shouldValidateGraph) {
-          if (!nodes.nodes.length) {
-            reasons.push({ content: i18n.t('parameters.invoke.noNodesInGraph') });
-          }
-
-          nodes.nodes.forEach((node) => {
-            if (!isInvocationNode(node)) {
-              return;
-            }
-
-            const nodeTemplate = templates[node.data.type];
-
-            if (!nodeTemplate) {
-              // Node type not found
-              reasons.push({ content: i18n.t('parameters.invoke.missingNodeTemplate') });
-              return;
-            }
-
-            const connectedEdges = getConnectedEdges([node], nodes.edges);
-
-            forEach(node.data.inputs, (field) => {
-              const fieldTemplate = nodeTemplate.inputs[field.name];
-              const hasConnection = connectedEdges.some(
-                (edge) => edge.target === node.id && edge.targetHandle === field.name
-              );
-
-              if (!fieldTemplate) {
-                reasons.push({ content: i18n.t('parameters.invoke.missingFieldTemplate') });
-                return;
-              }
-
-              if (fieldTemplate.required && field.value === undefined && !hasConnection) {
-                reasons.push({
-                  content: i18n.t('parameters.invoke.missingInputForField', {
-                    nodeLabel: node.data.label || nodeTemplate.title,
-                    fieldLabel: field.label || fieldTemplate.title,
-                  }),
-                });
-                return;
-              }
-            });
-          });
-        }
-      } else if (activeTabName === 'upscaling') {
-        if (!upscale.upscaleInitialImage) {
-          reasons.push({ content: i18n.t('upscaling.missingUpscaleInitialImage') });
-        } else if (config.maxUpscaleDimension) {
-          const { width, height } = upscale.upscaleInitialImage;
-          const { scale } = upscale;
-
-          const maxPixels = config.maxUpscaleDimension ** 2;
-          const upscaledPixels = width * scale * height * scale;
-
-          if (upscaledPixels > maxPixels) {
-            reasons.push({ content: i18n.t('upscaling.exceedsMaxSize') });
-          }
-        }
-        if (model && !['sd-1', 'sdxl'].includes(model.base)) {
-          // When we are using an upsupported model, do not add the other warnings
-          reasons.push({ content: i18n.t('upscaling.incompatibleBaseModel') });
-        } else {
-          // Using a compatible model, add all warnings
-          if (!model) {
-            reasons.push({ content: i18n.t('parameters.invoke.noModelSelected') });
-          }
-          if (!upscale.upscaleModel) {
-            reasons.push({ content: i18n.t('upscaling.missingUpscaleModel') });
-          }
-          if (!upscale.tileControlnetModel) {
-            reasons.push({ content: i18n.t('upscaling.missingTileControlNetModel') });
-          }
-        }
-      } else {
-        if (canvasIsFiltering) {
-          reasons.push({ content: i18n.t('parameters.invoke.canvasIsFiltering') });
-        }
-        if (canvasIsTransforming) {
-          reasons.push({ content: i18n.t('parameters.invoke.canvasIsTransforming') });
-        }
-        if (canvasIsRasterizing) {
-          reasons.push({ content: i18n.t('parameters.invoke.canvasIsRasterizing') });
-        }
-        if (canvasIsCompositing) {
-          reasons.push({ content: i18n.t('parameters.invoke.canvasIsCompositing') });
-        }
-
-        if (dynamicPrompts.prompts.length === 0 && getShouldProcessPrompt(positivePrompt)) {
-          reasons.push({ content: i18n.t('parameters.invoke.noPrompts') });
-        }
-
-        if (!model) {
-          reasons.push({ content: i18n.t('parameters.invoke.noModelSelected') });
-        }
-
-        if (model?.base === 'flux') {
-          if (!params.t5EncoderModel) {
-            reasons.push({ content: i18n.t('parameters.invoke.noT5EncoderModelSelected') });
-          }
-          if (!params.clipEmbedModel) {
-            reasons.push({ content: i18n.t('parameters.invoke.noCLIPEmbedModelSelected') });
-          }
-          if (!params.fluxVAE) {
-            reasons.push({ content: i18n.t('parameters.invoke.noFLUXVAEModelSelected') });
-          }
-          if (bbox.scaleMethod === 'none') {
-            if (bbox.rect.width % 16 !== 0) {
-              reasons.push({
-                content: i18n.t('parameters.invoke.fluxModelIncompatibleBboxWidth', { width: bbox.rect.width }),
-              });
-            }
-            if (bbox.rect.height % 16 !== 0) {
-              reasons.push({
-                content: i18n.t('parameters.invoke.fluxModelIncompatibleBboxHeight', { height: bbox.rect.height }),
-              });
-            }
-          } else {
-            if (bbox.scaledSize.width % 16 !== 0) {
-              reasons.push({
-                content: i18n.t('parameters.invoke.fluxModelIncompatibleScaledBboxWidth', {
-                  width: bbox.scaledSize.width,
-                }),
-              });
-            }
-            if (bbox.scaledSize.height % 16 !== 0) {
-              reasons.push({
-                content: i18n.t('parameters.invoke.fluxModelIncompatibleScaledBboxHeight', {
-                  height: bbox.scaledSize.height,
-                }),
-              });
-            }
-          }
-        }
-
-        canvas.controlLayers.entities
-          .filter((controlLayer) => controlLayer.isEnabled)
-          .forEach((controlLayer, i) => {
-            const layerLiteral = i18n.t('controlLayers.layer_one');
-            const layerNumber = i + 1;
-            const layerType = i18n.t(LAYER_TYPE_TO_TKEY['control_layer']);
-            const prefix = `${layerLiteral} #${layerNumber} (${layerType})`;
-            const problems: string[] = [];
-            // Must have model
-            if (!controlLayer.controlAdapter.model) {
-              problems.push(i18n.t('parameters.invoke.layer.controlAdapterNoModelSelected'));
-            }
-            // Model base must match
-            if (controlLayer.controlAdapter.model?.base !== model?.base) {
-              problems.push(i18n.t('parameters.invoke.layer.controlAdapterIncompatibleBaseModel'));
-            }
-            if (problems.length) {
-              const content = upperFirst(problems.join(', '));
-              reasons.push({ prefix, content });
-            }
-          });
-
-        canvas.referenceImages.entities
-          .filter((entity) => entity.isEnabled)
-          .forEach((entity, i) => {
-            const layerLiteral = i18n.t('controlLayers.layer_one');
-            const layerNumber = i + 1;
-            const layerType = i18n.t(LAYER_TYPE_TO_TKEY[entity.type]);
-            const prefix = `${layerLiteral} #${layerNumber} (${layerType})`;
-            const problems: string[] = [];
-
-            // Must have model
-            if (!entity.ipAdapter.model) {
-              problems.push(i18n.t('parameters.invoke.layer.ipAdapterNoModelSelected'));
-            }
-            // Model base must match
-            if (entity.ipAdapter.model?.base !== model?.base) {
-              problems.push(i18n.t('parameters.invoke.layer.ipAdapterIncompatibleBaseModel'));
-            }
-            // Must have an image
-            if (!entity.ipAdapter.image) {
-              problems.push(i18n.t('parameters.invoke.layer.ipAdapterNoImageSelected'));
-            }
-
-            if (problems.length) {
-              const content = upperFirst(problems.join(', '));
-              reasons.push({ prefix, content });
-            }
-          });
-
-        canvas.regionalGuidance.entities
-          .filter((entity) => entity.isEnabled)
-          .forEach((entity, i) => {
-            const layerLiteral = i18n.t('controlLayers.layer_one');
-            const layerNumber = i + 1;
-            const layerType = i18n.t(LAYER_TYPE_TO_TKEY[entity.type]);
-            const prefix = `${layerLiteral} #${layerNumber} (${layerType})`;
-            const problems: string[] = [];
-            // Must have a region
-            if (entity.objects.length === 0) {
-              problems.push(i18n.t('parameters.invoke.layer.rgNoRegion'));
-            }
-            // Must have at least 1 prompt or IP Adapter
-            if (
-              entity.positivePrompt === null &&
-              entity.negativePrompt === null &&
-              entity.referenceImages.length === 0
-            ) {
-              problems.push(i18n.t('parameters.invoke.layer.rgNoPromptsOrIPAdapters'));
-            }
-            entity.referenceImages.forEach(({ ipAdapter }) => {
-              // Must have model
-              if (!ipAdapter.model) {
-                problems.push(i18n.t('parameters.invoke.layer.ipAdapterNoModelSelected'));
-              }
-              // Model base must match
-              if (ipAdapter.model?.base !== model?.base) {
-                problems.push(i18n.t('parameters.invoke.layer.ipAdapterIncompatibleBaseModel'));
-              }
-              // Must have an image
-              if (!ipAdapter.image) {
-                problems.push(i18n.t('parameters.invoke.layer.ipAdapterNoImageSelected'));
-              }
-            });
-
-            if (problems.length) {
-              const content = upperFirst(problems.join(', '));
-              reasons.push({ prefix, content });
-            }
-          });
-
-        canvas.rasterLayers.entities
-          .filter((entity) => entity.isEnabled)
-          .forEach((entity, i) => {
-            const layerLiteral = i18n.t('controlLayers.layer_one');
-            const layerNumber = i + 1;
-            const layerType = i18n.t(LAYER_TYPE_TO_TKEY[entity.type]);
-            const prefix = `${layerLiteral} #${layerNumber} (${layerType})`;
-            const problems: string[] = [];
-
-            if (problems.length) {
-              const content = upperFirst(problems.join(', '));
-              reasons.push({ prefix, content });
-            }
-          });
-      }
-
-      return { isReady: !reasons.length, reasons };
-    }
-  );
-
-export const useIsReadyToEnqueue = () => {
-  const templates = useStore($templates);
-  const isConnected = useStore($isConnected);
-  const canvasManager = useCanvasManagerSafe();
-  const canvasIsFiltering = useStore(canvasManager?.stateApi.$isFiltering ?? $true);
-  const canvasIsTransforming = useStore(canvasManager?.stateApi.$isTransforming ?? $true);
-  const canvasIsRasterizing = useStore(canvasManager?.stateApi.$isRasterizing ?? $true);
-  const canvasIsCompositing = useStore(canvasManager?.compositor.$isBusy ?? $true);
-  const selector = useMemo(
-    () =>
-      createSelector(
-        templates,
-        isConnected,
-        canvasIsFiltering,
-        canvasIsTransforming,
-        canvasIsRasterizing,
-        canvasIsCompositing
-      ),
-    [templates, isConnected, canvasIsFiltering, canvasIsTransforming, canvasIsRasterizing, canvasIsCompositing]
-  );
-  const value = useAppSelector(selector);
-  return value;
-};

invokeai/frontend/web/src/features/controlLayers/components/CanvasAlerts/CanvasAlertsInvocationProgress.tsx

@@ -1,13 +1,14 @@
 import { Alert, AlertDescription, AlertIcon, AlertTitle } from '@invoke-ai/ui-library';
 import { useStore } from '@nanostores/react';
 import { useAppSelector } from 'app/store/storeHooks';
-import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
+import { useDeferredModelLoadingInvocationProgressMessage } from 'features/controlLayers/hooks/useDeferredModelLoadingInvocationProgressMessage';
+import { selectIsLocal } from 'features/system/store/configSlice';
 import { selectSystemShouldShowInvocationProgressDetail } from 'features/system/store/systemSlice';
 import { memo } from 'react';
 import { useTranslation } from 'react-i18next';
 import { $invocationProgressMessage } from 'services/events/stores';
 
-const CanvasAlertsInvocationProgressContent = memo(() => {
+const CanvasAlertsInvocationProgressContentLocal = memo(() => {
   const { t } = useTranslation();
   const invocationProgressMessage = useStore($invocationProgressMessage);
 
@@ -23,23 +24,38 @@ const CanvasAlertsInvocationProgressContent = memo(() => {
     </Alert>
   );
 });
-CanvasAlertsInvocationProgressContent.displayName = 'CanvasAlertsInvocationProgressContent';
+CanvasAlertsInvocationProgressContentLocal.displayName = 'CanvasAlertsInvocationProgressContentLocal';
 
-export const CanvasAlertsInvocationProgress = memo(() => {
-  const isProgressMessageAlertEnabled = useFeatureStatus('invocationProgressAlert');
-  const shouldShowInvocationProgressDetail = useAppSelector(selectSystemShouldShowInvocationProgressDetail);
+const CanvasAlertsInvocationProgressContentCommercial = memo(() => {
+  const message = useDeferredModelLoadingInvocationProgressMessage();
 
-  // The alert is disabled at the system level
-  if (!isProgressMessageAlertEnabled) {
+  if (!message) {
     return null;
   }
 
-  // The alert is disabled at the user level
+  return (
+    <Alert status="loading" borderRadius="base" fontSize="sm" shadow="md" w="fit-content">
+      <AlertIcon />
+      <AlertDescription>{message}</AlertDescription>
+    </Alert>
+  );
+});
+CanvasAlertsInvocationProgressContentCommercial.displayName = 'CanvasAlertsInvocationProgressContentCommercial';
+
+export const CanvasAlertsInvocationProgress = memo(() => {
+  const shouldShowInvocationProgressDetail = useAppSelector(selectSystemShouldShowInvocationProgressDetail);
+  const isLocal = useAppSelector(selectIsLocal);
+
+  if (!isLocal) {
+    return <CanvasAlertsInvocationProgressContentCommercial />;
+  }
+
+  // OSS user setting
   if (!shouldShowInvocationProgressDetail) {
     return null;
   }
 
-  return <CanvasAlertsInvocationProgressContent />;
+  return <CanvasAlertsInvocationProgressContentLocal />;
 });
 
 CanvasAlertsInvocationProgress.displayName = 'CanvasAlertsInvocationProgress';

invokeai/frontend/web/src/features/controlLayers/components/CanvasAlerts/CanvasAlertsSelectedEntityStatus.tsx

@@ -3,6 +3,7 @@ import { Alert, AlertIcon, AlertTitle } from '@invoke-ai/ui-library';
 import { useStore } from '@nanostores/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { useAppSelector } from 'app/store/storeHooks';
+import { CanvasEntityStateGate } from 'features/controlLayers/contexts/CanvasEntityStateGate';
 import { useEntityAdapterSafe } from 'features/controlLayers/contexts/EntityAdapterContext';
 import { useEntityTitle } from 'features/controlLayers/hooks/useEntityTitle';
 import { useEntityTypeIsHidden } from 'features/controlLayers/hooks/useEntityTypeIsHidden';
@@ -29,17 +30,23 @@ type AlertData = {
   title: string;
 };
 
+const buildSelectIsEnabled = (entityIdentifier: CanvasEntityIdentifier) =>
+  createSelector(
+    selectCanvasSlice,
+    (canvas) => selectEntityOrThrow(canvas, entityIdentifier, 'CanvasAlertsSelectedEntityStatusContent').isEnabled
+  );
+
+const buildSelectIsLocked = (entityIdentifier: CanvasEntityIdentifier) =>
+  createSelector(
+    selectCanvasSlice,
+    (canvas) => selectEntityOrThrow(canvas, entityIdentifier, 'CanvasAlertsSelectedEntityStatusContent').isLocked
+  );
+
 const CanvasAlertsSelectedEntityStatusContent = memo(({ entityIdentifier, adapter }: ContentProps) => {
   const { t } = useTranslation();
   const title = useEntityTitle(entityIdentifier);
-  const selectIsEnabled = useMemo(
-    () => createSelector(selectCanvasSlice, (canvas) => selectEntityOrThrow(canvas, entityIdentifier).isEnabled),
-    [entityIdentifier]
-  );
-  const selectIsLocked = useMemo(
-    () => createSelector(selectCanvasSlice, (canvas) => selectEntityOrThrow(canvas, entityIdentifier).isLocked),
-    [entityIdentifier]
-  );
+  const selectIsEnabled = useMemo(() => buildSelectIsEnabled(entityIdentifier), [entityIdentifier]);
+  const selectIsLocked = useMemo(() => buildSelectIsLocked(entityIdentifier), [entityIdentifier]);
   const isEnabled = useAppSelector(selectIsEnabled);
   const isLocked = useAppSelector(selectIsLocked);
   const isHidden = useEntityTypeIsHidden(entityIdentifier.type);
@@ -115,7 +122,11 @@ export const CanvasAlertsSelectedEntityStatus = memo(() => {
     return null;
   }
 
-  return <CanvasAlertsSelectedEntityStatusContent entityIdentifier={selectedEntityIdentifier} adapter={adapter} />;
+  return (
+    <CanvasEntityStateGate entityIdentifier={selectedEntityIdentifier}>
+      <CanvasAlertsSelectedEntityStatusContent entityIdentifier={selectedEntityIdentifier} adapter={adapter} />
+    </CanvasEntityStateGate>
+  );
 });
 
 CanvasAlertsSelectedEntityStatus.displayName = 'CanvasAlertsSelectedEntityStatus';

invokeai/frontend/web/src/features/controlLayers/components/CanvasContextMenu/CanvasContextMenuSelectedEntityMenuItems.tsx

@@ -5,6 +5,7 @@ import { InpaintMaskMenuItems } from 'features/controlLayers/components/InpaintM
 import { IPAdapterMenuItems } from 'features/controlLayers/components/IPAdapter/IPAdapterMenuItems';
 import { RasterLayerMenuItems } from 'features/controlLayers/components/RasterLayer/RasterLayerMenuItems';
 import { RegionalGuidanceMenuItems } from 'features/controlLayers/components/RegionalGuidance/RegionalGuidanceMenuItems';
+import { CanvasEntityStateGate } from 'features/controlLayers/contexts/CanvasEntityStateGate';
 import {
   EntityIdentifierContext,
   useEntityIdentifierContext,
@@ -40,6 +41,15 @@ const CanvasContextMenuSelectedEntityMenuItemsContent = memo(() => {
 
 CanvasContextMenuSelectedEntityMenuItemsContent.displayName = 'CanvasContextMenuSelectedEntityMenuItemsContent';
 
+const CanvasContextMenuSelectedEntityMenuGroup = memo((props: PropsWithChildren) => {
+  const entityIdentifier = useEntityIdentifierContext();
+  const title = useEntityTypeString(entityIdentifier.type);
+
+  return <MenuGroup title={title}>{props.children}</MenuGroup>;
+});
+
+CanvasContextMenuSelectedEntityMenuGroup.displayName = 'CanvasContextMenuSelectedEntityMenuGroup';
+
 export const CanvasContextMenuSelectedEntityMenuItems = memo(() => {
   const selectedEntityIdentifier = useAppSelector(selectSelectedEntityIdentifier);
 
@@ -49,20 +59,13 @@ export const CanvasContextMenuSelectedEntityMenuItems = memo(() => {
 
   return (
     <EntityIdentifierContext.Provider value={selectedEntityIdentifier}>
-      <CanvasContextMenuSelectedEntityMenuGroup>
-        <CanvasContextMenuSelectedEntityMenuItemsContent />
-      </CanvasContextMenuSelectedEntityMenuGroup>
+      <CanvasEntityStateGate entityIdentifier={selectedEntityIdentifier}>
+        <CanvasContextMenuSelectedEntityMenuGroup>
+          <CanvasContextMenuSelectedEntityMenuItemsContent />
+        </CanvasContextMenuSelectedEntityMenuGroup>
+      </CanvasEntityStateGate>
     </EntityIdentifierContext.Provider>
   );
 });
 
 CanvasContextMenuSelectedEntityMenuItems.displayName = 'CanvasContextMenuSelectedEntityMenuItems';
-
-const CanvasContextMenuSelectedEntityMenuGroup = memo((props: PropsWithChildren) => {
-  const entityIdentifier = useEntityIdentifierContext();
-  const title = useEntityTypeString(entityIdentifier.type);
-
-  return <MenuGroup title={title}>{props.children}</MenuGroup>;
-});
-
-CanvasContextMenuSelectedEntityMenuGroup.displayName = 'CanvasContextMenuSelectedEntityMenuGroup';

invokeai/frontend/web/src/features/controlLayers/components/ControlLayer/ControlLayer.tsx

@@ -7,6 +7,7 @@ import { CanvasEntitySettingsWrapper } from 'features/controlLayers/components/c
 import { CanvasEntityEditableTitle } from 'features/controlLayers/components/common/CanvasEntityTitleEdit';
 import { ControlLayerBadges } from 'features/controlLayers/components/ControlLayer/ControlLayerBadges';
 import { ControlLayerSettings } from 'features/controlLayers/components/ControlLayer/ControlLayerSettings';
+import { CanvasEntityStateGate } from 'features/controlLayers/contexts/CanvasEntityStateGate';
 import { ControlLayerAdapterGate } from 'features/controlLayers/contexts/EntityAdapterContext';
 import { EntityIdentifierContext } from 'features/controlLayers/contexts/EntityIdentifierContext';
 import { useCanvasIsBusy } from 'features/controlLayers/hooks/useCanvasIsBusy';
@@ -36,24 +37,26 @@ export const ControlLayer = memo(({ id }: Props) => {
   return (
     <EntityIdentifierContext.Provider value={entityIdentifier}>
       <ControlLayerAdapterGate>
-        <CanvasEntityContainer>
-          <CanvasEntityHeader>
-            <CanvasEntityPreviewImage />
-            <CanvasEntityEditableTitle />
-            <Spacer />
-            <ControlLayerBadges />
-            <CanvasEntityHeaderCommonActions />
-          </CanvasEntityHeader>
-          <CanvasEntitySettingsWrapper>
-            <ControlLayerSettings />
-          </CanvasEntitySettingsWrapper>
-          <DndDropTarget
-            dndTarget={replaceCanvasEntityObjectsWithImageDndTarget}
-            dndTargetData={dndTargetData}
-            label={t('controlLayers.replaceLayer')}
-            isDisabled={isBusy}
-          />
-        </CanvasEntityContainer>
+        <CanvasEntityStateGate entityIdentifier={entityIdentifier}>
+          <CanvasEntityContainer>
+            <CanvasEntityHeader>
+              <CanvasEntityPreviewImage />
+              <CanvasEntityEditableTitle />
+              <Spacer />
+              <ControlLayerBadges />
+              <CanvasEntityHeaderCommonActions />
+            </CanvasEntityHeader>
+            <CanvasEntitySettingsWrapper>
+              <ControlLayerSettings />
+            </CanvasEntitySettingsWrapper>
+            <DndDropTarget
+              dndTarget={replaceCanvasEntityObjectsWithImageDndTarget}
+              dndTargetData={dndTargetData}
+              label={t('controlLayers.replaceLayer')}
+              isDisabled={isBusy}
+            />
+          </CanvasEntityContainer>
+        </CanvasEntityStateGate>
       </ControlLayerAdapterGate>
     </EntityIdentifierContext.Provider>
   );

invokeai/frontend/web/src/features/controlLayers/components/ControlLayer/ControlLayerBadges.tsx

@@ -1,26 +1,47 @@
 import { Badge } from '@invoke-ai/ui-library';
+import { createSelector } from '@reduxjs/toolkit';
 import { useAppSelector } from 'app/store/storeHooks';
+import { CanvasEntityStateGate } from 'features/controlLayers/contexts/CanvasEntityStateGate';
 import { useEntityIdentifierContext } from 'features/controlLayers/contexts/EntityIdentifierContext';
 import { selectCanvasSlice, selectEntityOrThrow } from 'features/controlLayers/store/selectors';
-import { memo } from 'react';
+import type { CanvasEntityIdentifier } from 'features/controlLayers/store/types';
+import { memo, useMemo } from 'react';
 import { useTranslation } from 'react-i18next';
 
-export const ControlLayerBadges = memo(() => {
-  const entityIdentifier = useEntityIdentifierContext('control_layer');
-  const { t } = useTranslation();
-  const withTransparencyEffect = useAppSelector(
-    (s) => selectEntityOrThrow(selectCanvasSlice(s), entityIdentifier).withTransparencyEffect
+const buildSelectWithTransparencyEffect = (entityIdentifier: CanvasEntityIdentifier<'control_layer'>) =>
+  createSelector(
+    selectCanvasSlice,
+    (canvas) => selectEntityOrThrow(canvas, entityIdentifier, 'ControlLayerBadgesContent').withTransparencyEffect
   );
 
+const ControlLayerBadgesContent = memo(() => {
+  const entityIdentifier = useEntityIdentifierContext('control_layer');
+  const { t } = useTranslation();
+  const selectWithTransparencyEffect = useMemo(
+    () => buildSelectWithTransparencyEffect(entityIdentifier),
+    [entityIdentifier]
+  );
+  const withTransparencyEffect = useAppSelector(selectWithTransparencyEffect);
+
+  if (!withTransparencyEffect) {
+    return null;
+  }
+
   return (
-    <>
-      {withTransparencyEffect && (
-        <Badge color="base.300" bg="transparent" borderWidth={1} userSelect="none">
-          {t('controlLayers.transparency')}
-        </Badge>
-      )}
-    </>
+    <Badge color="base.300" bg="transparent" borderWidth={1} userSelect="none">
+      {t('controlLayers.transparency')}
+    </Badge>
   );
 });
 
+ControlLayerBadgesContent.displayName = 'ControlLayerBadgesContent';
+
+export const ControlLayerBadges = memo(() => {
+  const entityIdentifier = useEntityIdentifierContext('control_layer');
+  return (
+    <CanvasEntityStateGate entityIdentifier={entityIdentifier}>
+      <ControlLayerBadgesContent />
+    </CanvasEntityStateGate>
+  );
+});
 ControlLayerBadges.displayName = 'ControlLayerBadges';

invokeai/frontend/web/src/features/controlLayers/components/ControlLayer/ControlLayerControlAdapter.tsx

@@ -28,24 +28,18 @@ import { useTranslation } from 'react-i18next';
 import { PiBoundingBoxBold, PiShootingStarFill, PiUploadBold } from 'react-icons/pi';
 import type { ControlNetModelConfig, ImageDTO, T2IAdapterModelConfig } from 'services/api/types';
 
-const useControlLayerControlAdapter = (entityIdentifier: CanvasEntityIdentifier<'control_layer'>) => {
-  const selectControlAdapter = useMemo(
-    () =>
-      createMemoizedAppSelector(selectCanvasSlice, (canvas) => {
-        const layer = selectEntityOrThrow(canvas, entityIdentifier);
-        return layer.controlAdapter;
-      }),
-    [entityIdentifier]
-  );
-  const controlAdapter = useAppSelector(selectControlAdapter);
-  return controlAdapter;
-};
+const buildSelectControlAdapter = (entityIdentifier: CanvasEntityIdentifier<'control_layer'>) =>
+  createMemoizedAppSelector(selectCanvasSlice, (canvas) => {
+    const layer = selectEntityOrThrow(canvas, entityIdentifier, 'ControlLayerControlAdapter');
+    return layer.controlAdapter;
+  });
 
 export const ControlLayerControlAdapter = memo(() => {
   const { t } = useTranslation();
   const { dispatch, getState } = useAppStore();
   const entityIdentifier = useEntityIdentifierContext('control_layer');
-  const controlAdapter = useControlLayerControlAdapter(entityIdentifier);
+  const selectControlAdapter = useMemo(() => buildSelectControlAdapter(entityIdentifier), [entityIdentifier]);
+  const controlAdapter = useAppSelector(selectControlAdapter);
   const filter = useEntityFilter(entityIdentifier);
   const isFLUX = useAppSelector(selectIsFLUX);
   const adapter = useEntityAdapterContext('control_layer');

invokeai/frontend/web/src/features/controlLayers/components/ControlLayer/ControlLayerMenuItemsTransparencyEffect.tsx

@@ -5,21 +5,25 @@ import { useEntityIdentifierContext } from 'features/controlLayers/contexts/Enti
 import { useEntityIsLocked } from 'features/controlLayers/hooks/useEntityIsLocked';
 import { controlLayerWithTransparencyEffectToggled } from 'features/controlLayers/store/canvasSlice';
 import { selectCanvasSlice, selectEntityOrThrow } from 'features/controlLayers/store/selectors';
+import type { CanvasEntityIdentifier } from 'features/controlLayers/store/types';
 import { memo, useCallback, useMemo } from 'react';
 import { useTranslation } from 'react-i18next';
 import { PiDropHalfBold } from 'react-icons/pi';
 
+const buildSelectWithTransparencyEffect = (entityIdentifier: CanvasEntityIdentifier<'control_layer'>) =>
+  createSelector(
+    selectCanvasSlice,
+    (canvas) =>
+      selectEntityOrThrow(canvas, entityIdentifier, 'ControlLayerMenuItemsTransparencyEffect').withTransparencyEffect
+  );
+
 export const ControlLayerMenuItemsTransparencyEffect = memo(() => {
   const { t } = useTranslation();
   const dispatch = useAppDispatch();
   const entityIdentifier = useEntityIdentifierContext('control_layer');
   const isLocked = useEntityIsLocked(entityIdentifier);
   const selectWithTransparencyEffect = useMemo(
-    () =>
-      createSelector(selectCanvasSlice, (canvas) => {
-        const entity = selectEntityOrThrow(canvas, entityIdentifier);
-        return entity.withTransparencyEffect;
-      }),
+    () => buildSelectWithTransparencyEffect(entityIdentifier),
     [entityIdentifier]
   );
   const withTransparencyEffect = useAppSelector(selectWithTransparencyEffect);

invokeai/frontend/web/src/features/controlLayers/components/IPAdapter/IPAdapter.tsx

@@ -4,6 +4,7 @@ import { CanvasEntityHeader } from 'features/controlLayers/components/common/Can
 import { CanvasEntityHeaderCommonActions } from 'features/controlLayers/components/common/CanvasEntityHeaderCommonActions';
 import { CanvasEntityEditableTitle } from 'features/controlLayers/components/common/CanvasEntityTitleEdit';
 import { IPAdapterSettings } from 'features/controlLayers/components/IPAdapter/IPAdapterSettings';
+import { CanvasEntityStateGate } from 'features/controlLayers/contexts/CanvasEntityStateGate';
 import { EntityIdentifierContext } from 'features/controlLayers/contexts/EntityIdentifierContext';
 import type { CanvasEntityIdentifier } from 'features/controlLayers/store/types';
 import { memo, useMemo } from 'react';
@@ -17,14 +18,16 @@ export const IPAdapter = memo(({ id }: Props) => {
 
   return (
     <EntityIdentifierContext.Provider value={entityIdentifier}>
-      <CanvasEntityContainer>
-        <CanvasEntityHeader ps={4} py={5}>
-          <CanvasEntityEditableTitle />
-          <Spacer />
-          <CanvasEntityHeaderCommonActions />
-        </CanvasEntityHeader>
-        <IPAdapterSettings />
-      </CanvasEntityContainer>
+      <CanvasEntityStateGate entityIdentifier={entityIdentifier}>
+        <CanvasEntityContainer>
+          <CanvasEntityHeader ps={4} py={5}>
+            <CanvasEntityEditableTitle />
+            <Spacer />
+            <CanvasEntityHeaderCommonActions />
+          </CanvasEntityHeader>
+          <IPAdapterSettings />
+        </CanvasEntityContainer>
+      </CanvasEntityStateGate>
     </EntityIdentifierContext.Provider>
   );
 });

invokeai/frontend/web/src/features/controlLayers/components/IPAdapter/IPAdapterSettings.tsx

@@ -18,7 +18,7 @@ import {
 } from 'features/controlLayers/store/canvasSlice';
 import { selectIsFLUX } from 'features/controlLayers/store/paramsSlice';
 import { selectCanvasSlice, selectEntityOrThrow } from 'features/controlLayers/store/selectors';
-import type { CLIPVisionModelV2, IPMethodV2 } from 'features/controlLayers/store/types';
+import type { CanvasEntityIdentifier, CLIPVisionModelV2, IPMethodV2 } from 'features/controlLayers/store/types';
 import type { SetGlobalReferenceImageDndTargetData } from 'features/dnd/dnd';
 import { setGlobalReferenceImageDndTarget } from 'features/dnd/dnd';
 import { memo, useCallback, useMemo } from 'react';
@@ -29,14 +29,17 @@ import type { ImageDTO, IPAdapterModelConfig } from 'services/api/types';
 import { IPAdapterImagePreview } from './IPAdapterImagePreview';
 import { IPAdapterModel } from './IPAdapterModel';
 
+const buildSelectIPAdapter = (entityIdentifier: CanvasEntityIdentifier<'reference_image'>) =>
+  createSelector(
+    selectCanvasSlice,
+    (canvas) => selectEntityOrThrow(canvas, entityIdentifier, 'IPAdapterSettings').ipAdapter
+  );
+
 export const IPAdapterSettings = memo(() => {
   const { t } = useTranslation();
   const dispatch = useAppDispatch();
   const entityIdentifier = useEntityIdentifierContext('reference_image');
-  const selectIPAdapter = useMemo(
-    () => createSelector(selectCanvasSlice, (s) => selectEntityOrThrow(s, entityIdentifier).ipAdapter),
-    [entityIdentifier]
-  );
+  const selectIPAdapter = useMemo(() => buildSelectIPAdapter(entityIdentifier), [entityIdentifier]);
   const ipAdapter = useAppSelector(selectIPAdapter);
 
   const onChangeBeginEndStepPct = useCallback(

invokeai/frontend/web/src/features/controlLayers/components/InpaintMask/InpaintMask.tsx

@@ -4,6 +4,7 @@ import { CanvasEntityHeader } from 'features/controlLayers/components/common/Can
 import { CanvasEntityHeaderCommonActions } from 'features/controlLayers/components/common/CanvasEntityHeaderCommonActions';
 import { CanvasEntityPreviewImage } from 'features/controlLayers/components/common/CanvasEntityPreviewImage';
 import { CanvasEntityEditableTitle } from 'features/controlLayers/components/common/CanvasEntityTitleEdit';
+import { CanvasEntityStateGate } from 'features/controlLayers/contexts/CanvasEntityStateGate';
 import { InpaintMaskAdapterGate } from 'features/controlLayers/contexts/EntityAdapterContext';
 import { EntityIdentifierContext } from 'features/controlLayers/contexts/EntityIdentifierContext';
 import type { CanvasEntityIdentifier } from 'features/controlLayers/store/types';
@@ -19,14 +20,16 @@ export const InpaintMask = memo(({ id }: Props) => {
   return (
     <EntityIdentifierContext.Provider value={entityIdentifier}>
       <InpaintMaskAdapterGate>
-        <CanvasEntityContainer>
-          <CanvasEntityHeader>
-            <CanvasEntityPreviewImage />
-            <CanvasEntityEditableTitle />
-            <Spacer />
-            <CanvasEntityHeaderCommonActions />
-          </CanvasEntityHeader>
-        </CanvasEntityContainer>
+        <CanvasEntityStateGate entityIdentifier={entityIdentifier}>
+          <CanvasEntityContainer>
+            <CanvasEntityHeader>
+              <CanvasEntityPreviewImage />
+              <CanvasEntityEditableTitle />
+              <Spacer />
+              <CanvasEntityHeaderCommonActions />
+            </CanvasEntityHeader>
+          </CanvasEntityContainer>
+        </CanvasEntityStateGate>
       </InpaintMaskAdapterGate>
     </EntityIdentifierContext.Provider>
   );

invokeai/frontend/web/src/features/controlLayers/components/RasterLayer/RasterLayer.tsx

@@ -4,6 +4,7 @@ import { CanvasEntityHeader } from 'features/controlLayers/components/common/Can
 import { CanvasEntityHeaderCommonActions } from 'features/controlLayers/components/common/CanvasEntityHeaderCommonActions';
 import { CanvasEntityPreviewImage } from 'features/controlLayers/components/common/CanvasEntityPreviewImage';
 import { CanvasEntityEditableTitle } from 'features/controlLayers/components/common/CanvasEntityTitleEdit';
+import { CanvasEntityStateGate } from 'features/controlLayers/contexts/CanvasEntityStateGate';
 import { RasterLayerAdapterGate } from 'features/controlLayers/contexts/EntityAdapterContext';
 import { EntityIdentifierContext } from 'features/controlLayers/contexts/EntityIdentifierContext';
 import { useCanvasIsBusy } from 'features/controlLayers/hooks/useCanvasIsBusy';
@@ -30,20 +31,22 @@ export const RasterLayer = memo(({ id }: Props) => {
   return (
     <EntityIdentifierContext.Provider value={entityIdentifier}>
       <RasterLayerAdapterGate>
-        <CanvasEntityContainer>
-          <CanvasEntityHeader>
-            <CanvasEntityPreviewImage />
-            <CanvasEntityEditableTitle />
-            <Spacer />
-            <CanvasEntityHeaderCommonActions />
-          </CanvasEntityHeader>
-          <DndDropTarget
-            dndTarget={replaceCanvasEntityObjectsWithImageDndTarget}
-            dndTargetData={dndTargetData}
-            label={t('controlLayers.replaceLayer')}
-            isDisabled={isBusy}
-          />
-        </CanvasEntityContainer>
+        <CanvasEntityStateGate entityIdentifier={entityIdentifier}>
+          <CanvasEntityContainer>
+            <CanvasEntityHeader>
+              <CanvasEntityPreviewImage />
+              <CanvasEntityEditableTitle />
+              <Spacer />
+              <CanvasEntityHeaderCommonActions />
+            </CanvasEntityHeader>
+            <DndDropTarget
+              dndTarget={replaceCanvasEntityObjectsWithImageDndTarget}
+              dndTargetData={dndTargetData}
+              label={t('controlLayers.replaceLayer')}
+              isDisabled={isBusy}
+            />
+          </CanvasEntityContainer>
+        </CanvasEntityStateGate>
       </RasterLayerAdapterGate>
     </EntityIdentifierContext.Provider>
   );

invokeai/frontend/web/src/features/controlLayers/components/RegionalGuidance/RegionalGuidance.tsx

@@ -6,6 +6,7 @@ import { CanvasEntityPreviewImage } from 'features/controlLayers/components/comm
 import { CanvasEntityEditableTitle } from 'features/controlLayers/components/common/CanvasEntityTitleEdit';
 import { RegionalGuidanceBadges } from 'features/controlLayers/components/RegionalGuidance/RegionalGuidanceBadges';
 import { RegionalGuidanceSettings } from 'features/controlLayers/components/RegionalGuidance/RegionalGuidanceSettings';
+import { CanvasEntityStateGate } from 'features/controlLayers/contexts/CanvasEntityStateGate';
 import { RegionalGuidanceAdapterGate } from 'features/controlLayers/contexts/EntityAdapterContext';
 import { EntityIdentifierContext } from 'features/controlLayers/contexts/EntityIdentifierContext';
 import type { CanvasEntityIdentifier } from 'features/controlLayers/store/types';
@@ -24,16 +25,18 @@ export const RegionalGuidance = memo(({ id }: Props) => {
   return (
     <EntityIdentifierContext.Provider value={entityIdentifier}>
       <RegionalGuidanceAdapterGate>
-        <CanvasEntityContainer>
-          <CanvasEntityHeader>
-            <CanvasEntityPreviewImage />
-            <CanvasEntityEditableTitle />
-            <Spacer />
-            <RegionalGuidanceBadges />
-            <CanvasEntityHeaderCommonActions />
-          </CanvasEntityHeader>
-          <RegionalGuidanceSettings />
-        </CanvasEntityContainer>
+        <CanvasEntityStateGate entityIdentifier={entityIdentifier}>
+          <CanvasEntityContainer>
+            <CanvasEntityHeader>
+              <CanvasEntityPreviewImage />
+              <CanvasEntityEditableTitle />
+              <Spacer />
+              <RegionalGuidanceBadges />
+              <CanvasEntityHeaderCommonActions />
+            </CanvasEntityHeader>
+            <RegionalGuidanceSettings />
+          </CanvasEntityContainer>
+        </CanvasEntityStateGate>
       </RegionalGuidanceAdapterGate>
     </EntityIdentifierContext.Provider>
   );

invokeai/frontend/web/src/features/controlLayers/components/RegionalGuidance/RegionalGuidanceBadges.tsx

@@ -10,7 +10,11 @@ export const RegionalGuidanceBadges = memo(() => {
   const entityIdentifier = useEntityIdentifierContext('regional_guidance');
   const { t } = useTranslation();
   const selectAutoNegative = useMemo(
-    () => createSelector(selectCanvasSlice, (canvas) => selectEntityOrThrow(canvas, entityIdentifier).autoNegative),
+    () =>
+      createSelector(
+        selectCanvasSlice,
+        (canvas) => selectEntityOrThrow(canvas, entityIdentifier, 'RegionalGuidanceBadges').autoNegative
+      ),
     [entityIdentifier]
   );
   const autoNegative = useAppSelector(selectAutoNegative);

invokeai/frontend/web/src/features/controlLayers/components/RegionalGuidance/RegionalGuidanceIPAdapters.tsx

@@ -13,7 +13,11 @@ export const RegionalGuidanceIPAdapters = memo(() => {
   const selectIPAdapterIds = useMemo(
     () =>
       createMemoizedSelector(selectCanvasSlice, (canvas) => {
-        const ipAdapterIds = selectEntityOrThrow(canvas, entityIdentifier).referenceImages.map(({ id }) => id);
+        const ipAdapterIds = selectEntityOrThrow(
+          canvas,
+          entityIdentifier,
+          'RegionalGuidanceIPAdapters'
+        ).referenceImages.map(({ id }) => id);
         if (ipAdapterIds.length === 0) {
           return EMPTY_ARRAY;
         }

invokeai/frontend/web/src/features/controlLayers/components/RegionalGuidance/RegionalGuidanceMenuItemsAutoNegative.tsx

@@ -13,7 +13,11 @@ export const RegionalGuidanceMenuItemsAutoNegative = memo(() => {
   const { t } = useTranslation();
   const dispatch = useAppDispatch();
   const selectAutoNegative = useMemo(
-    () => createSelector(selectCanvasSlice, (canvas) => selectEntityOrThrow(canvas, entityIdentifier).autoNegative),
+    () =>
+      createSelector(
+        selectCanvasSlice,
+        (canvas) => selectEntityOrThrow(canvas, entityIdentifier, 'RegionalGuidanceMenuItemsAutoNegative').autoNegative
+      ),
     [entityIdentifier]
   );
   const autoNegative = useAppSelector(selectAutoNegative);

invokeai/frontend/web/src/features/controlLayers/components/RegionalGuidance/RegionalGuidanceNegativePrompt.tsx

@@ -20,7 +20,10 @@ export const RegionalGuidanceNegativePrompt = memo(() => {
   const entityIdentifier = useEntityIdentifierContext('regional_guidance');
   const selectPrompt = useMemo(
     () =>
-      createSelector(selectCanvasSlice, (canvas) => selectEntityOrThrow(canvas, entityIdentifier).negativePrompt ?? ''),
+      createSelector(
+        selectCanvasSlice,
+        (canvas) => selectEntityOrThrow(canvas, entityIdentifier, 'RegionalGuidanceNegativePrompt').negativePrompt ?? ''
+      ),
     [entityIdentifier]
   );
   const prompt = useAppSelector(selectPrompt);

invokeai/frontend/web/src/features/controlLayers/components/RegionalGuidance/RegionalGuidancePositivePrompt.tsx

@@ -20,7 +20,10 @@ export const RegionalGuidancePositivePrompt = memo(() => {
   const entityIdentifier = useEntityIdentifierContext('regional_guidance');
   const selectPrompt = useMemo(
     () =>
-      createSelector(selectCanvasSlice, (canvas) => selectEntityOrThrow(canvas, entityIdentifier).positivePrompt ?? ''),
+      createSelector(
+        selectCanvasSlice,
+        (canvas) => selectEntityOrThrow(canvas, entityIdentifier, 'RegionalGuidancePositivePrompt').positivePrompt ?? ''
+      ),
     [entityIdentifier]
   );
   const prompt = useAppSelector(selectPrompt);

invokeai/frontend/web/src/features/controlLayers/components/RegionalGuidance/RegionalGuidanceSettings.tsx

@@ -5,26 +5,25 @@ import { CanvasEntitySettingsWrapper } from 'features/controlLayers/components/c
 import { RegionalGuidanceAddPromptsIPAdapterButtons } from 'features/controlLayers/components/RegionalGuidance/RegionalGuidanceAddPromptsIPAdapterButtons';
 import { useEntityIdentifierContext } from 'features/controlLayers/contexts/EntityIdentifierContext';
 import { selectCanvasSlice, selectEntityOrThrow } from 'features/controlLayers/store/selectors';
+import type { CanvasEntityIdentifier } from 'features/controlLayers/store/types';
 import { memo, useMemo } from 'react';
 
 import { RegionalGuidanceIPAdapters } from './RegionalGuidanceIPAdapters';
 import { RegionalGuidanceNegativePrompt } from './RegionalGuidanceNegativePrompt';
 import { RegionalGuidancePositivePrompt } from './RegionalGuidancePositivePrompt';
 
+const buildSelectFlags = (entityIdentifier: CanvasEntityIdentifier<'regional_guidance'>) =>
+  createMemoizedSelector(selectCanvasSlice, (canvas) => {
+    const entity = selectEntityOrThrow(canvas, entityIdentifier, 'RegionalGuidanceSettings');
+    return {
+      hasPositivePrompt: entity.positivePrompt !== null,
+      hasNegativePrompt: entity.negativePrompt !== null,
+      hasIPAdapters: entity.referenceImages.length > 0,
+    };
+  });
 export const RegionalGuidanceSettings = memo(() => {
   const entityIdentifier = useEntityIdentifierContext('regional_guidance');
-  const selectFlags = useMemo(
-    () =>
-      createMemoizedSelector(selectCanvasSlice, (canvas) => {
-        const entity = selectEntityOrThrow(canvas, entityIdentifier);
-        return {
-          hasPositivePrompt: entity.positivePrompt !== null,
-          hasNegativePrompt: entity.negativePrompt !== null,
-          hasIPAdapters: entity.referenceImages.length > 0,
-        };
-      }),
-    [entityIdentifier]
-  );
+  const selectFlags = useMemo(() => buildSelectFlags(entityIdentifier), [entityIdentifier]);
   const flags = useAppSelector(selectFlags);
 
   return (

invokeai/frontend/web/src/features/controlLayers/components/Toolbar/CanvasToolbar.tsx

@@ -4,8 +4,8 @@ import { CanvasSettingsPopover } from 'features/controlLayers/components/Setting
 import { ToolColorPicker } from 'features/controlLayers/components/Tool/ToolFillColorPicker';
 import { ToolSettings } from 'features/controlLayers/components/Tool/ToolSettings';
 import { CanvasToolbarFitBboxToLayersButton } from 'features/controlLayers/components/Toolbar/CanvasToolbarFitBboxToLayersButton';
+import { CanvasToolbarNewSessionMenuButton } from 'features/controlLayers/components/Toolbar/CanvasToolbarNewSessionMenuButton';
 import { CanvasToolbarRedoButton } from 'features/controlLayers/components/Toolbar/CanvasToolbarRedoButton';
-import { CanvasToolbarResetCanvasButton } from 'features/controlLayers/components/Toolbar/CanvasToolbarResetCanvasButton';
 import { CanvasToolbarResetViewButton } from 'features/controlLayers/components/Toolbar/CanvasToolbarResetViewButton';
 import { CanvasToolbarSaveToGalleryButton } from 'features/controlLayers/components/Toolbar/CanvasToolbarSaveToGalleryButton';
 import { CanvasToolbarScale } from 'features/controlLayers/components/Toolbar/CanvasToolbarScale';
@@ -43,7 +43,7 @@ export const CanvasToolbar = memo(() => {
         <CanvasToolbarSaveToGalleryButton />
         <CanvasToolbarUndoButton />
         <CanvasToolbarRedoButton />
-        <CanvasToolbarResetCanvasButton />
+        <CanvasToolbarNewSessionMenuButton />
         <CanvasSettingsPopover />
       </Flex>
     </Flex>

invokeai/frontend/web/src/features/controlLayers/components/Toolbar/CanvasToolbarNewSessionMenuButton.tsx

@@ -0,0 +1,25 @@
+import { IconButton, Menu, MenuButton, MenuList } from '@invoke-ai/ui-library';
+import { SessionMenuItems } from 'common/components/SessionMenuItems';
+import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
+import { PiFilePlusBold } from 'react-icons/pi';
+
+export const CanvasToolbarNewSessionMenuButton = memo(() => {
+  const { t } = useTranslation();
+  return (
+    <Menu placement="bottom-end">
+      <MenuButton
+        as={IconButton}
+        aria-label={t('controlLayers.newSession')}
+        icon={<PiFilePlusBold />}
+        variant="link"
+        alignSelf="stretch"
+      />
+      <MenuList>
+        <SessionMenuItems />
+      </MenuList>
+    </Menu>
+  );
+});
+
+CanvasToolbarNewSessionMenuButton.displayName = 'CanvasToolbarNewSessionMenuButton';

invokeai/frontend/web/src/features/controlLayers/components/Toolbar/CanvasToolbarResetCanvasButton.tsx

@@ -1,30 +0,0 @@
-import { IconButton } from '@invoke-ai/ui-library';
-import { useAppDispatch } from 'app/store/storeHooks';
-import { useCanvasManager } from 'features/controlLayers/contexts/CanvasManagerProviderGate';
-import { canvasReset } from 'features/controlLayers/store/actions';
-import { memo, useCallback } from 'react';
-import { useTranslation } from 'react-i18next';
-import { PiTrashBold } from 'react-icons/pi';
-
-export const CanvasToolbarResetCanvasButton = memo(() => {
-  const { t } = useTranslation();
-  const dispatch = useAppDispatch();
-  const canvasManager = useCanvasManager();
-  const onClick = useCallback(() => {
-    dispatch(canvasReset());
-    canvasManager.stage.fitLayersToStage();
-  }, [canvasManager.stage, dispatch]);
-  return (
-    <IconButton
-      aria-label={t('controlLayers.resetCanvas')}
-      tooltip={t('controlLayers.resetCanvas')}
-      onClick={onClick}
-      colorScheme="error"
-      icon={<PiTrashBold />}
-      variant="link"
-      alignSelf="stretch"
-    />
-  );
-});
-
-CanvasToolbarResetCanvasButton.displayName = 'CanvasToolbarResetCanvasButton';

invokeai/frontend/web/src/features/controlLayers/contexts/CanvasEntityStateGate.tsx

@@ -0,0 +1,20 @@
+import { useAppSelector } from 'app/store/storeHooks';
+import { selectEntityExists } from 'features/controlLayers/store/selectors';
+import type { CanvasEntityIdentifier } from 'features/controlLayers/store/types';
+import type { PropsWithChildren } from 'react';
+import { memo, useMemo } from 'react';
+
+/**
+ * A "gate" component that renders its children only if the entity exists in redux state.
+ */
+export const CanvasEntityStateGate = memo((props: PropsWithChildren<{ entityIdentifier: CanvasEntityIdentifier }>) => {
+  const selector = useMemo(() => selectEntityExists(props.entityIdentifier), [props.entityIdentifier]);
+  const entityExistsInState = useAppSelector(selector);
+
+  if (!entityExistsInState) {
+    return null;
+  }
+
+  return props.children;
+});
+CanvasEntityStateGate.displayName = 'CanvasEntityStateGate';

invokeai/frontend/web/src/features/controlLayers/hooks/addLayerHooks.ts

@@ -14,7 +14,7 @@ import {
   rgPositivePromptChanged,
 } from 'features/controlLayers/store/canvasSlice';
 import { selectBase } from 'features/controlLayers/store/paramsSlice';
-import { selectCanvasSlice, selectEntityOrThrow } from 'features/controlLayers/store/selectors';
+import { selectCanvasSlice, selectEntity } from 'features/controlLayers/store/selectors';
 import type {
   CanvasEntityIdentifier,
   CanvasRegionalGuidanceState,
@@ -168,7 +168,7 @@ export const buildSelectValidRegionalGuidanceActions = (
   entityIdentifier: CanvasEntityIdentifier<'regional_guidance'>
 ) => {
   return createMemoizedSelector(selectCanvasSlice, (canvas) => {
-    const entity = selectEntityOrThrow(canvas, entityIdentifier);
+    const entity = selectEntity(canvas, entityIdentifier);
     return {
       canAddPositivePrompt: entity?.positivePrompt === null,
       canAddNegativePrompt: entity?.negativePrompt === null,

invokeai/frontend/web/src/features/controlLayers/hooks/useDeferredModelLoadingInvocationProgressMessage.ts

@@ -0,0 +1,31 @@
+import { useStore } from '@nanostores/react';
+import { useEffect, useState } from 'react';
+import { useTranslation } from 'react-i18next';
+import { $invocationProgressMessage } from 'services/events/stores';
+
+export const useDeferredModelLoadingInvocationProgressMessage = () => {
+  const { t } = useTranslation();
+  const invocationProgressMessage = useStore($invocationProgressMessage);
+  const [delayedMessage, setDelayedMessage] = useState<string | null>(null);
+
+  useEffect(() => {
+    if (!invocationProgressMessage) {
+      setDelayedMessage(null);
+      return;
+    }
+
+    if (invocationProgressMessage && !invocationProgressMessage.startsWith('Loading model')) {
+      setDelayedMessage(null);
+      return;
+    }
+
+    // Set a timeout to update delayedMessage after 5 seconds
+    const timer = setTimeout(() => {
+      setDelayedMessage(`${t('common.loadingModel')}...`);
+    }, 5000);
+
+    return () => clearTimeout(timer); // Cleanup on effect re-run
+  }, [invocationProgressMessage, t]);
+
+  return delayedMessage;
+};

invokeai/frontend/web/src/features/controlLayers/konva/CanvasStateApiModule.ts

@@ -51,7 +51,7 @@ import type { Graph } from 'features/nodes/util/graph/generation/Graph';
 import { atom, computed } from 'nanostores';
 import type { Logger } from 'roarr';
 import { getImageDTO } from 'services/api/endpoints/images';
-import { queueApi } from 'services/api/endpoints/queue';
+import { enqueueMutationFixedCacheKeyOptions, queueApi } from 'services/api/endpoints/queue';
 import type { BatchConfig, ImageDTO, S } from 'services/api/types';
 import { QueueError } from 'services/events/errors';
 import type { Param0 } from 'tsafe';
@@ -402,7 +402,7 @@ export class CanvasStateApiModule extends CanvasModuleBase {
         queueApi.endpoints.enqueueBatch.initiate(batch, {
           // Use the same cache key for all enqueueBatch requests, so that all consumers of this query get the same status
           // updates.
-          fixedCacheKey: 'enqueueBatch',
+          ...enqueueMutationFixedCacheKeyOptions,
           // We do not need RTK to track this request in the store
           track: false,
         })

invokeai/frontend/web/src/features/controlLayers/store/paramsSlice.ts

@@ -273,24 +273,27 @@ export const paramsSlice = createSlice({
     setCanvasCoherenceMinDenoise: (state, action: PayloadAction<number>) => {
       state.canvasCoherenceMinDenoise = action.payload;
     },
+    paramsReset: (state) => resetState(state),
   },
   extraReducers(builder) {
-    builder.addMatcher(newSessionRequested, (state) => {
-      // When a new session is requested, we need to keep the current model selections, plus dependent state
-      // like VAE precision. Everything else gets reset to default.
-      const newState = deepClone(initialState);
-      newState.model = state.model;
-      newState.vae = state.vae;
-      newState.fluxVAE = state.fluxVAE;
-      newState.vaePrecision = state.vaePrecision;
-      newState.t5EncoderModel = state.t5EncoderModel;
-      newState.clipEmbedModel = state.clipEmbedModel;
-      newState.refinerModel = state.refinerModel;
-      return newState;
-    });
+    builder.addMatcher(newSessionRequested, (state) => resetState(state));
   },
 });
 
+const resetState = (state: ParamsState): ParamsState => {
+  // When a new session is requested, we need to keep the current model selections, plus dependent state
+  // like VAE precision. Everything else gets reset to default.
+  const newState = deepClone(initialState);
+  newState.model = state.model;
+  newState.vae = state.vae;
+  newState.fluxVAE = state.fluxVAE;
+  newState.vaePrecision = state.vaePrecision;
+  newState.t5EncoderModel = state.t5EncoderModel;
+  newState.clipEmbedModel = state.clipEmbedModel;
+  newState.refinerModel = state.refinerModel;
+  return newState;
+};
+
 export const {
   setInfillMethod,
   setInfillTileSize,
@@ -334,6 +337,7 @@ export const {
   setRefinerNegativeAestheticScore,
   setRefinerStart,
   modelChanged,
+  paramsReset,
 } = paramsSlice.actions;
 
 /* eslint-disable-next-line @typescript-eslint/no-explicit-any */

invokeai/frontend/web/src/features/controlLayers/store/selectors.ts

@@ -202,17 +202,25 @@ export const selectRegionalGuidanceEntities = createSelector(
 
 /**
  * Selected an entity from the canvas slice. If the entity is not found, an error is thrown.
+ *
+ * Provide a `caller` string to help identify the caller in the error message.
+ *
  * Wrapper around {@link selectEntity}.
  */
 export function selectEntityOrThrow<T extends CanvasEntityIdentifier>(
   state: CanvasState,
-  entityIdentifier: T
+  entityIdentifier: T,
+  caller: string
 ): Extract<CanvasEntityState, T> {
   const entity = selectEntity(state, entityIdentifier);
-  assert(entity, `Entity with id ${entityIdentifier.id} not found`);
+  assert(entity, `Entity with id ${entityIdentifier.id} not found in ${caller}`);
   return entity;
 }
 
+export const selectEntityExists = <T extends CanvasEntityIdentifier>(entityIdentifier: T) => {
+  return createSelector(selectCanvasSlice, (canvas) => Boolean(selectEntity(canvas, entityIdentifier)));
+};
+
 /**
  * Selects all entities of the given type.
  */

invokeai/frontend/web/src/features/dnd/DndImage.tsx

@@ -22,12 +22,15 @@ const sx = {
   },
 } satisfies SystemStyleObject;
 
-type Props = ImageProps & {
-  imageDTO: ImageDTO;
-  asThumbnail?: boolean;
-};
+/* eslint-disable-next-line @typescript-eslint/no-namespace */
+export namespace DndImage {
+  export interface Props extends ImageProps {
+    imageDTO: ImageDTO;
+    asThumbnail?: boolean;
+  }
+}
 
-export const DndImage = memo(({ imageDTO, asThumbnail, ...rest }: Props) => {
+export const DndImage = memo(({ imageDTO, asThumbnail, ...rest }: DndImage.Props) => {
   const store = useAppStore();
   const [isDragging, setIsDragging] = useState(false);
   const [element, ref] = useState<HTMLImageElement | null>(null);

invokeai/frontend/web/src/features/dnd/dnd.ts

@@ -9,6 +9,7 @@ import { selectComparisonImages } from 'features/gallery/components/ImageViewer/
 import type { BoardId } from 'features/gallery/store/types';
 import {
   addImagesToBoard,
+  addImagesToNodeImageFieldCollectionAction,
   createNewCanvasEntityFromImage,
   removeImagesFromBoard,
   replaceCanvasEntityObjectsWithImage,
@@ -220,7 +221,7 @@ const _setNodeImageFieldImage = buildTypeAndKey('set-node-image-field-image');
 export type SetNodeImageFieldImageDndTargetData = DndData<
   typeof _setNodeImageFieldImage.type,
   typeof _setNodeImageFieldImage.key,
-  { fieldIdentifer: FieldIdentifier }
+  { fieldIdentifier: FieldIdentifier }
 >;
 export const setNodeImageFieldImageDndTarget: DndTarget<SetNodeImageFieldImageDndTargetData, SingleImageDndSourceData> =
   {
@@ -235,12 +236,51 @@ export const setNodeImageFieldImageDndTarget: DndTarget<SetNodeImageFieldImageDn
     },
     handler: ({ sourceData, targetData, dispatch }) => {
       const { imageDTO } = sourceData.payload;
-      const { fieldIdentifer } = targetData.payload;
-      setNodeImageFieldImage({ fieldIdentifer, imageDTO, dispatch });
+      const { fieldIdentifier } = targetData.payload;
+      setNodeImageFieldImage({ fieldIdentifier, imageDTO, dispatch });
     },
   };
 //#endregion
 
+//#region Add Images to Image Collection Node Field
+const _addImagesToNodeImageFieldCollection = buildTypeAndKey('add-images-to-image-collection-node-field');
+export type AddImagesToNodeImageFieldCollection = DndData<
+  typeof _addImagesToNodeImageFieldCollection.type,
+  typeof _addImagesToNodeImageFieldCollection.key,
+  { fieldIdentifier: FieldIdentifier }
+>;
+export const addImagesToNodeImageFieldCollectionDndTarget: DndTarget<
+  AddImagesToNodeImageFieldCollection,
+  SingleImageDndSourceData | MultipleImageDndSourceData
+> = {
+  ..._addImagesToNodeImageFieldCollection,
+  typeGuard: buildTypeGuard(_addImagesToNodeImageFieldCollection.key),
+  getData: buildGetData(_addImagesToNodeImageFieldCollection.key, _addImagesToNodeImageFieldCollection.type),
+  isValid: ({ sourceData }) => {
+    if (singleImageDndSource.typeGuard(sourceData) || multipleImageDndSource.typeGuard(sourceData)) {
+      return true;
+    }
+    return false;
+  },
+  handler: ({ sourceData, targetData, dispatch, getState }) => {
+    if (!singleImageDndSource.typeGuard(sourceData) && !multipleImageDndSource.typeGuard(sourceData)) {
+      return;
+    }
+
+    const { fieldIdentifier } = targetData.payload;
+    const imageDTOs: ImageDTO[] = [];
+
+    if (singleImageDndSource.typeGuard(sourceData)) {
+      imageDTOs.push(sourceData.payload.imageDTO);
+    } else {
+      imageDTOs.push(...sourceData.payload.imageDTOs);
+    }
+
+    addImagesToNodeImageFieldCollectionAction({ fieldIdentifier, imageDTOs, dispatch, getState });
+  },
+};
+//#endregion
+
 //# Set Comparison Image
 const _setComparisonImage = buildTypeAndKey('set-comparison-image');
 export type SetComparisonImageDndTargetData = DndData<
@@ -430,6 +470,7 @@ export const dndTargets = [
   // Single or Multiple Image
   addImageToBoardDndTarget,
   removeImageFromBoardDndTarget,
+  addImagesToNodeImageFieldCollectionDndTarget,
 ] as const;
 
 export type AnyDndTarget = (typeof dndTargets)[number];

invokeai/frontend/web/src/features/dynamicPrompts/store/dynamicPromptsSlice.ts

@@ -7,7 +7,7 @@ const zSeedBehaviour = z.enum(['PER_ITERATION', 'PER_PROMPT']);
 type SeedBehaviour = z.infer<typeof zSeedBehaviour>;
 export const isSeedBehaviour = (v: unknown): v is SeedBehaviour => zSeedBehaviour.safeParse(v).success;
 
-interface DynamicPromptsState {
+export interface DynamicPromptsState {
   _version: 1;
   maxPrompts: number;
   combinatorial: boolean;

invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/ImageMenuItemNewCanvasFromImageSubMenu.tsx

@@ -0,0 +1,110 @@
+import { Menu, MenuButton, MenuItem, MenuList } from '@invoke-ai/ui-library';
+import { useAppStore } from 'app/store/nanostores/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import { SubMenuButtonContent, useSubMenu } from 'common/hooks/useSubMenu';
+import { useCanvasIsBusy } from 'features/controlLayers/hooks/useCanvasIsBusy';
+import { selectIsSD3 } from 'features/controlLayers/store/paramsSlice';
+import { useImageViewer } from 'features/gallery/components/ImageViewer/useImageViewer';
+import { useImageDTOContext } from 'features/gallery/contexts/ImageDTOContext';
+import { newCanvasFromImage } from 'features/imageActions/actions';
+import { toast } from 'features/toast/toast';
+import { setActiveTab } from 'features/ui/store/uiSlice';
+import { memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
+import { PiFileBold, PiPlusBold } from 'react-icons/pi';
+
+export const ImageMenuItemNewCanvasFromImageSubMenu = memo(() => {
+  const { t } = useTranslation();
+  const subMenu = useSubMenu();
+  const store = useAppStore();
+  const imageDTO = useImageDTOContext();
+  const imageViewer = useImageViewer();
+  const isBusy = useCanvasIsBusy();
+  const isSD3 = useAppSelector(selectIsSD3);
+
+  const onClickNewCanvasWithRasterLayerFromImage = useCallback(() => {
+    const { dispatch, getState } = store;
+    newCanvasFromImage({ imageDTO, withResize: false, type: 'raster_layer', dispatch, getState });
+    dispatch(setActiveTab('canvas'));
+    imageViewer.close();
+    toast({
+      id: 'SENT_TO_CANVAS',
+      title: t('toast.sentToCanvas'),
+      status: 'success',
+    });
+  }, [imageDTO, imageViewer, store, t]);
+
+  const onClickNewCanvasWithControlLayerFromImage = useCallback(() => {
+    const { dispatch, getState } = store;
+    newCanvasFromImage({ imageDTO, withResize: false, type: 'control_layer', dispatch, getState });
+    dispatch(setActiveTab('canvas'));
+    imageViewer.close();
+    toast({
+      id: 'SENT_TO_CANVAS',
+      title: t('toast.sentToCanvas'),
+      status: 'success',
+    });
+  }, [imageDTO, imageViewer, store, t]);
+
+  const onClickNewCanvasWithRasterLayerFromImageWithResize = useCallback(() => {
+    const { dispatch, getState } = store;
+    newCanvasFromImage({ imageDTO, withResize: true, type: 'raster_layer', dispatch, getState });
+    dispatch(setActiveTab('canvas'));
+    imageViewer.close();
+    toast({
+      id: 'SENT_TO_CANVAS',
+      title: t('toast.sentToCanvas'),
+      status: 'success',
+    });
+  }, [imageDTO, imageViewer, store, t]);
+
+  const onClickNewCanvasWithControlLayerFromImageWithResize = useCallback(() => {
+    const { dispatch, getState } = store;
+    newCanvasFromImage({ imageDTO, withResize: true, type: 'control_layer', dispatch, getState });
+    dispatch(setActiveTab('canvas'));
+    imageViewer.close();
+    toast({
+      id: 'SENT_TO_CANVAS',
+      title: t('toast.sentToCanvas'),
+      status: 'success',
+    });
+  }, [imageDTO, imageViewer, store, t]);
+
+  return (
+    <MenuItem {...subMenu.parentMenuItemProps} icon={<PiPlusBold />}>
+      <Menu {...subMenu.menuProps}>
+        <MenuButton {...subMenu.menuButtonProps}>
+          <SubMenuButtonContent label={t('controlLayers.newCanvasFromImage')} />
+        </MenuButton>
+        <MenuList {...subMenu.menuListProps}>
+          <MenuItem icon={<PiFileBold />} onClickCapture={onClickNewCanvasWithRasterLayerFromImage} isDisabled={isBusy}>
+            {t('controlLayers.asRasterLayer')}
+          </MenuItem>
+          <MenuItem
+            icon={<PiFileBold />}
+            onClickCapture={onClickNewCanvasWithRasterLayerFromImageWithResize}
+            isDisabled={isBusy}
+          >
+            {t('controlLayers.asRasterLayerResize')}
+          </MenuItem>
+          <MenuItem
+            icon={<PiFileBold />}
+            onClickCapture={onClickNewCanvasWithControlLayerFromImage}
+            isDisabled={isBusy || isSD3}
+          >
+            {t('controlLayers.asControlLayer')}
+          </MenuItem>
+          <MenuItem
+            icon={<PiFileBold />}
+            onClickCapture={onClickNewCanvasWithControlLayerFromImageWithResize}
+            isDisabled={isBusy || isSD3}
+          >
+            {t('controlLayers.asControlLayerResize')}
+          </MenuItem>
+        </MenuList>
+      </Menu>
+    </MenuItem>
+  );
+});
+
+ImageMenuItemNewCanvasFromImageSubMenu.displayName = 'ImageMenuItemNewCanvasFromImageSubMenu';

invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/ImageMenuItemNewLayerFromImageSubMenu.tsx

@@ -8,14 +8,14 @@ import { selectIsFLUX, selectIsSD3 } from 'features/controlLayers/store/paramsSl
 import { useImageViewer } from 'features/gallery/components/ImageViewer/useImageViewer';
 import { useImageDTOContext } from 'features/gallery/contexts/ImageDTOContext';
 import { sentImageToCanvas } from 'features/gallery/store/actions';
-import { createNewCanvasEntityFromImage, newCanvasFromImage } from 'features/imageActions/actions';
+import { createNewCanvasEntityFromImage } from 'features/imageActions/actions';
 import { toast } from 'features/toast/toast';
 import { setActiveTab } from 'features/ui/store/uiSlice';
 import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
-import { PiFileBold, PiPlusBold } from 'react-icons/pi';
+import { PiPlusBold } from 'react-icons/pi';
 
-export const ImageMenuItemNewFromImageSubMenu = memo(() => {
+export const ImageMenuItemNewLayerFromImageSubMenu = memo(() => {
   const { t } = useTranslation();
   const subMenu = useSubMenu();
   const store = useAppStore();
@@ -25,30 +25,6 @@ export const ImageMenuItemNewFromImageSubMenu = memo(() => {
   const isFLUX = useAppSelector(selectIsFLUX);
   const isSD3 = useAppSelector(selectIsSD3);
 
-  const onClickNewCanvasWithRasterLayerFromImage = useCallback(() => {
-    const { dispatch, getState } = store;
-    newCanvasFromImage({ imageDTO, type: 'raster_layer', dispatch, getState });
-    dispatch(setActiveTab('canvas'));
-    imageViewer.close();
-    toast({
-      id: 'SENT_TO_CANVAS',
-      title: t('toast.sentToCanvas'),
-      status: 'success',
-    });
-  }, [imageDTO, imageViewer, store, t]);
-
-  const onClickNewCanvasWithControlLayerFromImage = useCallback(() => {
-    const { dispatch, getState } = store;
-    newCanvasFromImage({ imageDTO, type: 'control_layer', dispatch, getState });
-    dispatch(setActiveTab('canvas'));
-    imageViewer.close();
-    toast({
-      id: 'SENT_TO_CANVAS',
-      title: t('toast.sentToCanvas'),
-      status: 'success',
-    });
-  }, [imageDTO, imageViewer, store, t]);
-
   const onClickNewRasterLayerFromImage = useCallback(() => {
     const { dispatch, getState } = store;
     createNewCanvasEntityFromImage({ imageDTO, type: 'raster_layer', dispatch, getState });
@@ -105,19 +81,9 @@ export const ImageMenuItemNewFromImageSubMenu = memo(() => {
     <MenuItem {...subMenu.parentMenuItemProps} icon={<PiPlusBold />}>
       <Menu {...subMenu.menuProps}>
         <MenuButton {...subMenu.menuButtonProps}>
-          <SubMenuButtonContent label={t('controlLayers.newFromImage')} />
+          <SubMenuButtonContent label={t('controlLayers.newLayerFromImage')} />
         </MenuButton>
         <MenuList {...subMenu.menuListProps}>
-          <MenuItem icon={<PiFileBold />} onClickCapture={onClickNewCanvasWithRasterLayerFromImage} isDisabled={isBusy}>
-            {t('controlLayers.canvasAsRasterLayer')}
-          </MenuItem>
-          <MenuItem
-            icon={<PiFileBold />}
-            onClickCapture={onClickNewCanvasWithControlLayerFromImage}
-            isDisabled={isBusy || isSD3}
-          >
-            {t('controlLayers.canvasAsControlLayer')}
-          </MenuItem>
           <MenuItem icon={<NewLayerIcon />} onClickCapture={onClickNewInpaintMaskFromImage} isDisabled={isBusy}>
             {t('controlLayers.inpaintMask')}
           </MenuItem>
@@ -144,4 +110,4 @@ export const ImageMenuItemNewFromImageSubMenu = memo(() => {
   );
 });
 
-ImageMenuItemNewFromImageSubMenu.displayName = 'ImageMenuItemNewFromImageSubMenu';
+ImageMenuItemNewLayerFromImageSubMenu.displayName = 'ImageMenuItemNewLayerFromImageSubMenu';

invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx

@@ -7,7 +7,8 @@ import { ImageMenuItemDelete } from 'features/gallery/components/ImageContextMen
 import { ImageMenuItemDownload } from 'features/gallery/components/ImageContextMenu/ImageMenuItemDownload';
 import { ImageMenuItemLoadWorkflow } from 'features/gallery/components/ImageContextMenu/ImageMenuItemLoadWorkflow';
 import { ImageMenuItemMetadataRecallActions } from 'features/gallery/components/ImageContextMenu/ImageMenuItemMetadataRecallActions';
-import { ImageMenuItemNewFromImageSubMenu } from 'features/gallery/components/ImageContextMenu/ImageMenuItemNewFromImageSubMenu';
+import { ImageMenuItemNewCanvasFromImageSubMenu } from 'features/gallery/components/ImageContextMenu/ImageMenuItemNewCanvasFromImageSubMenu';
+import { ImageMenuItemNewLayerFromImageSubMenu } from 'features/gallery/components/ImageContextMenu/ImageMenuItemNewLayerFromImageSubMenu';
 import { ImageMenuItemOpenInNewTab } from 'features/gallery/components/ImageContextMenu/ImageMenuItemOpenInNewTab';
 import { ImageMenuItemOpenInViewer } from 'features/gallery/components/ImageContextMenu/ImageMenuItemOpenInViewer';
 import { ImageMenuItemSelectForCompare } from 'features/gallery/components/ImageContextMenu/ImageMenuItemSelectForCompare';
@@ -38,7 +39,8 @@ const SingleSelectionMenuItems = ({ imageDTO }: SingleSelectionMenuItemsProps) =
       <MenuDivider />
       <ImageMenuItemSendToUpscale />
       <CanvasManagerProviderGate>
-        <ImageMenuItemNewFromImageSubMenu />
+        <ImageMenuItemNewCanvasFromImageSubMenu />
+        <ImageMenuItemNewLayerFromImageSubMenu />
       </CanvasManagerProviderGate>
       <MenuDivider />
       <ImageMenuItemChangeBoard />

invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx

@@ -1,3 +1,4 @@
+import { Flex } from '@invoke-ai/ui-library';
 import { useAppSelector } from 'app/store/storeHooks';
 import { MetadataItem } from 'features/metadata/components/MetadataItem';
 import { MetadataLoRAs } from 'features/metadata/components/MetadataLoRAs';
@@ -18,7 +19,7 @@ const ImageMetadataActions = (props: Props) => {
   }
 
   return (
-    <>
+    <Flex flexDir="column" pl={8}>
       <MetadataItem metadata={metadata} handlers={handlers.generationMode} />
       <MetadataItem metadata={metadata} handlers={handlers.positivePrompt} direction="column" />
       <MetadataItem metadata={metadata} handlers={handlers.negativePrompt} direction="column" />
@@ -48,7 +49,7 @@ const ImageMetadataActions = (props: Props) => {
       <MetadataItem metadata={metadata} handlers={handlers.refinerStart} />
       <MetadataItem metadata={metadata} handlers={handlers.refinerSteps} />
       <MetadataLoRAs metadata={metadata} />
-    </>
+    </Flex>
   );
 };
 

invokeai/frontend/web/src/features/imageActions/actions.ts

@@ -1,3 +1,4 @@
+import { logger } from 'app/logging/logger';
 import type { AppDispatch, RootState } from 'app/store/store';
 import { deepClone } from 'common/util/deepClone';
 import { selectDefaultIPAdapter } from 'features/controlLayers/hooks/addLayerHooks';
@@ -29,15 +30,19 @@ import { imageDTOToImageObject, imageDTOToImageWithDims, initialControlNet } fro
 import { calculateNewSize } from 'features/controlLayers/util/getScaledBoundingBoxDimensions';
 import { imageToCompareChanged, selectionChanged } from 'features/gallery/store/gallerySlice';
 import type { BoardId } from 'features/gallery/store/types';
-import { fieldImageValueChanged } from 'features/nodes/store/nodesSlice';
-import type { FieldIdentifier } from 'features/nodes/types/field';
+import { fieldImageCollectionValueChanged, fieldImageValueChanged } from 'features/nodes/store/nodesSlice';
+import { selectFieldInputInstance, selectNodesSlice } from 'features/nodes/store/selectors';
+import { type FieldIdentifier, isImageFieldCollectionInputInstance } from 'features/nodes/types/field';
 import { upscaleInitialImageChanged } from 'features/parameters/store/upscaleSlice';
 import { getOptimalDimension } from 'features/parameters/util/optimalDimension';
+import { uniqBy } from 'lodash-es';
 import { imagesApi } from 'services/api/endpoints/images';
 import type { ImageDTO } from 'services/api/types';
 import type { Equals } from 'tsafe';
 import { assert } from 'tsafe';
 
+const log = logger('system');
+
 export const setGlobalReferenceImage = (arg: {
   imageDTO: ImageDTO;
   entityIdentifier: CanvasEntityIdentifier<'reference_image'>;
@@ -64,11 +69,59 @@ export const setUpscaleInitialImage = (arg: { imageDTO: ImageDTO; dispatch: AppD
 
 export const setNodeImageFieldImage = (arg: {
   imageDTO: ImageDTO;
-  fieldIdentifer: FieldIdentifier;
+  fieldIdentifier: FieldIdentifier;
   dispatch: AppDispatch;
 }) => {
-  const { imageDTO, fieldIdentifer, dispatch } = arg;
-  dispatch(fieldImageValueChanged({ ...fieldIdentifer, value: imageDTO }));
+  const { imageDTO, fieldIdentifier, dispatch } = arg;
+  dispatch(fieldImageValueChanged({ ...fieldIdentifier, value: imageDTO }));
+};
+
+export const addImagesToNodeImageFieldCollectionAction = (arg: {
+  imageDTOs: ImageDTO[];
+  fieldIdentifier: FieldIdentifier;
+  dispatch: AppDispatch;
+  getState: () => RootState;
+}) => {
+  const { imageDTOs, fieldIdentifier, dispatch, getState } = arg;
+  const fieldInputInstance = selectFieldInputInstance(
+    selectNodesSlice(getState()),
+    fieldIdentifier.nodeId,
+    fieldIdentifier.fieldName
+  );
+
+  if (!isImageFieldCollectionInputInstance(fieldInputInstance)) {
+    log.warn({ fieldIdentifier }, 'Attempted to add images to a non-image field collection');
+    return;
+  }
+
+  const images = fieldInputInstance.value ? [...fieldInputInstance.value] : [];
+  images.push(...imageDTOs.map(({ image_name }) => ({ image_name })));
+  const uniqueImages = uniqBy(images, 'image_name');
+  dispatch(fieldImageCollectionValueChanged({ ...fieldIdentifier, value: uniqueImages }));
+};
+
+export const removeImageFromNodeImageFieldCollectionAction = (arg: {
+  imageName: string;
+  fieldIdentifier: FieldIdentifier;
+  dispatch: AppDispatch;
+  getState: () => RootState;
+}) => {
+  const { imageName, fieldIdentifier, dispatch, getState } = arg;
+  const fieldInputInstance = selectFieldInputInstance(
+    selectNodesSlice(getState()),
+    fieldIdentifier.nodeId,
+    fieldIdentifier.fieldName
+  );
+
+  if (!isImageFieldCollectionInputInstance(fieldInputInstance)) {
+    log.warn({ fieldIdentifier }, 'Attempted to remove image from a non-image field collection');
+    return;
+  }
+
+  const images = fieldInputInstance.value ? [...fieldInputInstance.value] : [];
+  const imagesWithoutTheImageToRemove = images.filter((image) => image.image_name !== imageName);
+  const uniqueImages = uniqBy(imagesWithoutTheImageToRemove, 'image_name');
+  dispatch(fieldImageCollectionValueChanged({ ...fieldIdentifier, value: uniqueImages }));
 };
 
 export const setComparisonImage = (arg: { imageDTO: ImageDTO; dispatch: AppDispatch }) => {
@@ -129,21 +182,24 @@ export const createNewCanvasEntityFromImage = (arg: {
 };
 
 /**
- * Creates a new canvas with the given image as the initial image, replicating the img2img flow:
+ * Creates a new canvas with the given image as the only layer:
  * - Reset the canvas
  * - Resize the bbox to the image's aspect ratio at the optimal size for the selected model
- * - Add the image as a raster layer
- * - Resizes the layer to fit the bbox using the 'fill' strategy
+ * - Add the image as a layer of the given type
+ * - If `withResize`: Resizes the layer to fit the bbox using the 'fill' strategy
  *
  * This allows the user to immediately generate a new image from the given image without any additional steps.
+ *
+ * Using 'raster_layer' for the type and enabling `withResize` replicates the common img2img flow.
  */
 export const newCanvasFromImage = (arg: {
   imageDTO: ImageDTO;
   type: CanvasEntityType | 'regional_guidance_with_reference_image';
+  withResize: boolean;
   dispatch: AppDispatch;
   getState: () => RootState;
 }) => {
-  const { type, imageDTO, dispatch, getState } = arg;
+  const { type, imageDTO, withResize, dispatch, getState } = arg;
   const state = getState();
 
   const base = selectBboxModelBase(state);
@@ -176,7 +232,9 @@ export const newCanvasFromImage = (arg: {
         objects: [imageObject],
         position: { x, y },
       } satisfies Partial<CanvasRasterLayerState>;
-      addInitCallback(overrides.id);
+      if (withResize) {
+        addInitCallback(overrides.id);
+      }
       dispatch(canvasReset());
       // The `bboxChangedFromCanvas` reducer does no validation! Careful!
       dispatch(bboxChangedFromCanvas({ x: 0, y: 0, width, height }));
@@ -190,7 +248,9 @@ export const newCanvasFromImage = (arg: {
         position: { x, y },
         controlAdapter: deepClone(initialControlNet),
       } satisfies Partial<CanvasControlLayerState>;
-      addInitCallback(overrides.id);
+      if (withResize) {
+        addInitCallback(overrides.id);
+      }
       dispatch(canvasReset());
       // The `bboxChangedFromCanvas` reducer does no validation! Careful!
       dispatch(bboxChangedFromCanvas({ x: 0, y: 0, width, height }));
@@ -203,7 +263,9 @@ export const newCanvasFromImage = (arg: {
         objects: [imageObject],
         position: { x, y },
       } satisfies Partial<CanvasInpaintMaskState>;
-      addInitCallback(overrides.id);
+      if (withResize) {
+        addInitCallback(overrides.id);
+      }
       dispatch(canvasReset());
       // The `bboxChangedFromCanvas` reducer does no validation! Careful!
       dispatch(bboxChangedFromCanvas({ x: 0, y: 0, width, height }));
@@ -216,7 +278,9 @@ export const newCanvasFromImage = (arg: {
         objects: [imageObject],
         position: { x, y },
       } satisfies Partial<CanvasRegionalGuidanceState>;
-      addInitCallback(overrides.id);
+      if (withResize) {
+        addInitCallback(overrides.id);
+      }
       dispatch(canvasReset());
       // The `bboxChangedFromCanvas` reducer does no validation! Careful!
       dispatch(bboxChangedFromCanvas({ x: 0, y: 0, width, height }));

invokeai/frontend/web/src/features/nodes/components/flow/AddNodeCmdk/AddNodeCmdk.tsx

@@ -40,7 +40,7 @@ import { computed } from 'nanostores';
 import type { ChangeEvent } from 'react';
 import { memo, useCallback, useEffect, useMemo, useRef, useState } from 'react';
 import { useTranslation } from 'react-i18next';
-import { PiCircuitryBold, PiFlaskBold, PiHammerBold } from 'react-icons/pi';
+import { PiCircuitryBold, PiFlaskBold, PiHammerBold, PiLightningFill } from 'react-icons/pi';
 import type { EdgeChange, NodeChange } from 'reactflow';
 import type { S } from 'services/api/types';
 
@@ -403,7 +403,7 @@ const NodeCommandList = memo(({ searchTerm, onSelect }: { searchTerm: string; on
     }
 
     return _items;
-  }, [pendingConnection, currentImageFilterItem, searchTerm, notesFilterItem, templatesArray]);
+  }, [pendingConnection, templatesArray, searchTerm, currentImageFilterItem, notesFilterItem]);
 
   return (
     <>
@@ -414,6 +414,7 @@ const NodeCommandList = memo(({ searchTerm, onSelect }: { searchTerm: string; on
               {item.classification === 'beta' && <Icon boxSize={4} color="invokeYellow.300" as={PiHammerBold} />}
               {item.classification === 'prototype' && <Icon boxSize={4} color="invokeRed.300" as={PiFlaskBold} />}
               {item.classification === 'internal' && <Icon boxSize={4} color="invokePurple.300" as={PiCircuitryBold} />}
+              {item.classification === 'special' && <Icon boxSize={4} color="invokeGreen.300" as={PiLightningFill} />}
               <Text fontWeight="semibold">{item.label}</Text>
               <Spacer />
               <Text variant="subtext" fontWeight="semibold">

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeClassificationIcon.tsx

@@ -3,7 +3,7 @@ import { useNodeClassification } from 'features/nodes/hooks/useNodeClassificatio
 import type { Classification } from 'features/nodes/types/common';
 import { memo } from 'react';
 import { useTranslation } from 'react-i18next';
-import { PiCircuitryBold, PiFlaskBold, PiHammerBold } from 'react-icons/pi';
+import { PiCircuitryBold, PiFlaskBold, PiHammerBold, PiLightningFill } from 'react-icons/pi';
 
 interface Props {
   nodeId: string;
@@ -41,7 +41,11 @@ const ClassificationTooltipContent = memo(({ classification }: { classification:
   }
 
   if (classification === 'internal') {
-    return t('nodes.prototypeDesc');
+    return t('nodes.internalDesc');
+  }
+
+  if (classification === 'special') {
+    return t('nodes.specialDesc');
   }
 
   return null;
@@ -62,5 +66,9 @@ const ClassificationIcon = ({ classification }: { classification: Classification
     return <Icon as={PiCircuitryBold} display="block" boxSize={4} color="invokePurple.300" />;
   }
 
+  if (classification === 'special') {
+    return <Icon as={PiLightningFill} display="block" boxSize={4} color="invokeGreen.300" />;
+  }
+
   return null;
 };

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeInfoIcon.tsx

@@ -1,9 +1,9 @@
 import { Flex, Icon, Text, Tooltip } from '@invoke-ai/ui-library';
 import { compare } from 'compare-versions';
-import { useNodeData } from 'features/nodes/hooks/useNodeData';
+import { useNode } from 'features/nodes/hooks/useNode';
 import { useNodeNeedsUpdate } from 'features/nodes/hooks/useNodeNeedsUpdate';
 import { useNodeTemplate } from 'features/nodes/hooks/useNodeTemplate';
-import { isInvocationNodeData } from 'features/nodes/types/invocation';
+import { isInvocationNode } from 'features/nodes/types/invocation';
 import { memo, useMemo } from 'react';
 import { useTranslation } from 'react-i18next';
 import { PiInfoBold } from 'react-icons/pi';
@@ -25,32 +25,32 @@ const InvocationNodeInfoIcon = ({ nodeId }: Props) => {
 export default memo(InvocationNodeInfoIcon);
 
 const TooltipContent = memo(({ nodeId }: { nodeId: string }) => {
-  const data = useNodeData(nodeId);
+  const node = useNode(nodeId);
   const nodeTemplate = useNodeTemplate(nodeId);
   const { t } = useTranslation();
 
   const title = useMemo(() => {
-    if (data?.label && nodeTemplate?.title) {
-      return `${data.label} (${nodeTemplate.title})`;
+    if (node.data?.label && nodeTemplate?.title) {
+      return `${node.data.label} (${nodeTemplate.title})`;
     }
 
-    if (data?.label && !nodeTemplate) {
-      return data.label;
+    if (node.data?.label && !nodeTemplate) {
+      return node.data.label;
     }
 
-    if (!data?.label && nodeTemplate) {
+    if (!node.data?.label && nodeTemplate) {
       return nodeTemplate.title;
     }
 
     return t('nodes.unknownNode');
-  }, [data, nodeTemplate, t]);
+  }, [node.data.label, nodeTemplate, t]);
 
   const versionComponent = useMemo(() => {
-    if (!isInvocationNodeData(data) || !nodeTemplate) {
+    if (!isInvocationNode(node) || !nodeTemplate) {
       return null;
     }
 
-    if (!data.version) {
+    if (!node.data.version) {
       return (
         <Text as="span" color="error.500">
           {t('nodes.versionUnknown')}
@@ -61,35 +61,35 @@ const TooltipContent = memo(({ nodeId }: { nodeId: string }) => {
     if (!nodeTemplate.version) {
       return (
         <Text as="span" color="error.500">
-          {t('nodes.version')} {data.version} ({t('nodes.unknownTemplate')})
+          {t('nodes.version')} {node.data.version} ({t('nodes.unknownTemplate')})
         </Text>
       );
     }
 
-    if (compare(data.version, nodeTemplate.version, '<')) {
+    if (compare(node.data.version, nodeTemplate.version, '<')) {
       return (
         <Text as="span" color="error.500">
-          {t('nodes.version')} {data.version} ({t('nodes.updateNode')})
+          {t('nodes.version')} {node.data.version} ({t('nodes.updateNode')})
         </Text>
       );
     }
 
-    if (compare(data.version, nodeTemplate.version, '>')) {
+    if (compare(node.data.version, nodeTemplate.version, '>')) {
       return (
         <Text as="span" color="error.500">
-          {t('nodes.version')} {data.version} ({t('nodes.updateApp')})
+          {t('nodes.version')} {node.data.version} ({t('nodes.updateApp')})
         </Text>
       );
     }
 
     return (
       <Text as="span">
-        {t('nodes.version')} {data.version}
+        {t('nodes.version')} {node.data.version}
       </Text>
     );
-  }, [data, nodeTemplate, t]);
+  }, [node, nodeTemplate, t]);
 
-  if (!isInvocationNodeData(data)) {
+  if (!isInvocationNode(node)) {
     return <Text fontWeight="semibold">{t('nodes.unknownNode')}</Text>;
   }
 
@@ -107,7 +107,7 @@ const TooltipContent = memo(({ nodeId }: { nodeId: string }) => {
         {nodeTemplate?.description}
       </Text>
       {versionComponent}
-      {data?.notes && <Text>{data.notes}</Text>}
+      {node.data?.notes && <Text>{node.data.notes}</Text>}
     </Flex>
   );
 });

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/NotesTextarea.tsx

@@ -1,15 +1,15 @@
 import { FormControl, FormLabel, Textarea } from '@invoke-ai/ui-library';
 import { useAppDispatch } from 'app/store/storeHooks';
-import { useNodeData } from 'features/nodes/hooks/useNodeData';
+import { useNode } from 'features/nodes/hooks/useNode';
 import { nodeNotesChanged } from 'features/nodes/store/nodesSlice';
-import { isInvocationNodeData } from 'features/nodes/types/invocation';
+import { isInvocationNode } from 'features/nodes/types/invocation';
 import type { ChangeEvent } from 'react';
 import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
 
 const NotesTextarea = ({ nodeId }: { nodeId: string }) => {
   const dispatch = useAppDispatch();
-  const data = useNodeData(nodeId);
+  const node = useNode(nodeId);
   const { t } = useTranslation();
   const handleNotesChanged = useCallback(
     (e: ChangeEvent<HTMLTextAreaElement>) => {
@@ -17,13 +17,13 @@ const NotesTextarea = ({ nodeId }: { nodeId: string }) => {
     },
     [dispatch, nodeId]
   );
-  if (!isInvocationNodeData(data)) {
+  if (!isInvocationNode(node)) {
     return null;
   }
   return (
     <FormControl orientation="vertical" h="full">
       <FormLabel>{t('nodes.notes')}</FormLabel>
-      <Textarea value={data?.notes} onChange={handleNotesChanged} rows={10} resize="none" />
+      <Textarea value={node.data?.notes} onChange={handleNotesChanged} rows={10} resize="none" />
     </FormControl>
   );
 };

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/EditableFieldTitle.tsx

@@ -23,13 +23,13 @@ interface Props {
   nodeId: string;
   fieldName: string;
   kind: 'inputs' | 'outputs';
-  isMissingInput?: boolean;
+  isInvalid?: boolean;
   withTooltip?: boolean;
   shouldDim?: boolean;
 }
 
 const EditableFieldTitle = forwardRef((props: Props, ref) => {
-  const { nodeId, fieldName, kind, isMissingInput = false, withTooltip = false, shouldDim = false } = props;
+  const { nodeId, fieldName, kind, isInvalid = false, withTooltip = false, shouldDim = false } = props;
   const label = useFieldLabel(nodeId, fieldName);
   const fieldTemplateTitle = useFieldTemplateTitle(nodeId, fieldName, kind);
   const { t } = useTranslation();
@@ -78,7 +78,7 @@ const EditableFieldTitle = forwardRef((props: Props, ref) => {
           fontWeight="semibold"
           sx={editablePreviewStyles}
           noOfLines={1}
-          color={isMissingInput ? 'error.300' : 'base.300'}
+          color={isInvalid ? 'error.300' : 'base.300'}
           opacity={shouldDim ? 0.5 : 1}
         />
       </Tooltip>

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/FieldResetToDefaultValueButton.tsx

@@ -0,0 +1,42 @@
+import { IconButton } from '@invoke-ai/ui-library';
+import { useAppDispatch } from 'app/store/storeHooks';
+import { useFieldInputTemplate } from 'features/nodes/hooks/useFieldInputTemplate';
+import { useFieldValue } from 'features/nodes/hooks/useFieldValue';
+import { fieldValueReset } from 'features/nodes/store/nodesSlice';
+import { isEqual } from 'lodash-es';
+import { memo, useCallback, useMemo } from 'react';
+import { useTranslation } from 'react-i18next';
+import { PiArrowCounterClockwiseBold } from 'react-icons/pi';
+
+type Props = {
+  nodeId: string;
+  fieldName: string;
+};
+
+const FieldResetToDefaultValueButton = ({ nodeId, fieldName }: Props) => {
+  const dispatch = useAppDispatch();
+  const { t } = useTranslation();
+  const value = useFieldValue(nodeId, fieldName);
+  const fieldTemplate = useFieldInputTemplate(nodeId, fieldName);
+  const isDisabled = useMemo(() => {
+    return isEqual(value, fieldTemplate.default);
+  }, [value, fieldTemplate.default]);
+  const onClick = useCallback(() => {
+    dispatch(fieldValueReset({ nodeId, fieldName, value: fieldTemplate.default }));
+  }, [dispatch, fieldName, fieldTemplate.default, nodeId]);
+
+  return (
+    <IconButton
+      variant="ghost"
+      tooltip={t('nodes.resetToDefaultValue')}
+      aria-label={t('nodes.resetToDefaultValue')}
+      icon={<PiArrowCounterClockwiseBold />}
+      onClick={onClick}
+      isDisabled={isDisabled}
+      pointerEvents="auto"
+      size="xs"
+    />
+  );
+};
+
+export default memo(FieldResetToDefaultValueButton);

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputField.tsx

@@ -1,8 +1,9 @@
 import { Flex, FormControl } from '@invoke-ai/ui-library';
+import FieldResetToDefaultValueButton from 'features/nodes/components/flow/nodes/Invocation/fields/FieldResetToDefaultValueButton';
 import { useConnectionState } from 'features/nodes/hooks/useConnectionState';
-import { useDoesInputHaveValue } from 'features/nodes/hooks/useDoesInputHaveValue';
 import { useFieldInputTemplate } from 'features/nodes/hooks/useFieldInputTemplate';
-import { memo, useCallback, useMemo, useState } from 'react';
+import { useFieldIsInvalid } from 'features/nodes/hooks/useFieldIsInvalid';
+import { memo, useCallback, useState } from 'react';
 
 import EditableFieldTitle from './EditableFieldTitle';
 import FieldHandle from './FieldHandle';
@@ -17,32 +18,12 @@ interface Props {
 
 const InputField = ({ nodeId, fieldName }: Props) => {
   const fieldTemplate = useFieldInputTemplate(nodeId, fieldName);
-  const doesFieldHaveValue = useDoesInputHaveValue(nodeId, fieldName);
   const [isHovered, setIsHovered] = useState(false);
+  const isInvalid = useFieldIsInvalid(nodeId, fieldName);
 
   const { isConnected, isConnectionInProgress, isConnectionStartField, validationResult, shouldDim } =
     useConnectionState({ nodeId, fieldName, kind: 'inputs' });
 
-  const isMissingInput = useMemo(() => {
-    if (!fieldTemplate) {
-      return false;
-    }
-
-    if (!fieldTemplate.required) {
-      return false;
-    }
-
-    if (!isConnected && fieldTemplate.input === 'connection') {
-      return true;
-    }
-
-    if (!doesFieldHaveValue && !isConnected && fieldTemplate.input !== 'connection') {
-      return true;
-    }
-
-    return false;
-  }, [fieldTemplate, isConnected, doesFieldHaveValue]);
-
   const onMouseEnter = useCallback(() => {
     setIsHovered(true);
   }, []);
@@ -54,12 +35,12 @@ const InputField = ({ nodeId, fieldName }: Props) => {
   if (fieldTemplate.input === 'connection' || isConnected) {
     return (
       <InputFieldWrapper shouldDim={shouldDim}>
-        <FormControl isInvalid={isMissingInput} isDisabled={isConnected} px={2}>
+        <FormControl isInvalid={isInvalid} isDisabled={isConnected} px={2}>
           <EditableFieldTitle
             nodeId={nodeId}
             fieldName={fieldName}
             kind="inputs"
-            isMissingInput={isMissingInput}
+            isInvalid={isInvalid}
             withTooltip
             shouldDim
           />
@@ -79,7 +60,7 @@ const InputField = ({ nodeId, fieldName }: Props) => {
   return (
     <InputFieldWrapper shouldDim={shouldDim}>
       <FormControl
-        isInvalid={isMissingInput}
+        isInvalid={isInvalid}
         isDisabled={isConnected}
         // Without pointerEvents prop, disabled inputs don't trigger reactflow events. For example, when making a
         // connection, the mouse up to end the connection won't fire, leaving the connection in-progress.
@@ -88,14 +69,9 @@ const InputField = ({ nodeId, fieldName }: Props) => {
         px={2}
       >
         <Flex flexDir="column" w="full" gap={1} onMouseEnter={onMouseEnter} onMouseLeave={onMouseLeave}>
-          <Flex>
-            <EditableFieldTitle
-              nodeId={nodeId}
-              fieldName={fieldName}
-              kind="inputs"
-              isMissingInput={isMissingInput}
-              withTooltip
-            />
+          <Flex gap={1}>
+            <EditableFieldTitle nodeId={nodeId} fieldName={fieldName} kind="inputs" isInvalid={isInvalid} withTooltip />
+            {isHovered && <FieldResetToDefaultValueButton nodeId={nodeId} fieldName={fieldName} />}
             {isHovered && <FieldLinearViewToggle nodeId={nodeId} fieldName={fieldName} />}
           </Flex>
           <InputFieldRenderer nodeId={nodeId} fieldName={fieldName} />

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldRenderer.tsx

@@ -1,3 +1,4 @@
+import { ImageFieldCollectionInputComponent } from 'features/nodes/components/flow/nodes/Invocation/fields/inputs/ImageFieldCollectionInputComponent';
 import ModelIdentifierFieldInputComponent from 'features/nodes/components/flow/nodes/Invocation/fields/inputs/ModelIdentifierFieldInputComponent';
 import { useFieldInputInstance } from 'features/nodes/hooks/useFieldInputInstance';
 import { useFieldInputTemplate } from 'features/nodes/hooks/useFieldInputTemplate';
@@ -24,6 +25,8 @@ import {
   isFluxMainModelFieldInputTemplate,
   isFluxVAEModelFieldInputInstance,
   isFluxVAEModelFieldInputTemplate,
+  isImageFieldCollectionInputInstance,
+  isImageFieldCollectionInputTemplate,
   isImageFieldInputInstance,
   isImageFieldInputTemplate,
   isIntegerFieldInputInstance,
@@ -110,6 +113,10 @@ const InputFieldRenderer = ({ nodeId, fieldName }: InputFieldProps) => {
     return <EnumFieldInputComponent nodeId={nodeId} field={fieldInstance} fieldTemplate={fieldTemplate} />;
   }
 
+  if (isImageFieldCollectionInputInstance(fieldInstance) && isImageFieldCollectionInputTemplate(fieldTemplate)) {
+    return <ImageFieldCollectionInputComponent nodeId={nodeId} field={fieldInstance} fieldTemplate={fieldTemplate} />;
+  }
+
   if (isImageFieldInputInstance(fieldInstance) && isImageFieldInputTemplate(fieldTemplate)) {
     return <ImageFieldInputComponent nodeId={nodeId} field={fieldInstance} fieldTemplate={fieldTemplate} />;
   }

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/ImageFieldCollectionInputComponent.tsx

@@ -0,0 +1,167 @@
+import type { SystemStyleObject } from '@invoke-ai/ui-library';
+import { Box, Flex, Grid, GridItem } from '@invoke-ai/ui-library';
+import { useAppStore } from 'app/store/nanostores/store';
+import { IAINoContentFallback, IAINoContentFallbackWithSpinner } from 'common/components/IAIImageFallback';
+import { getOverlayScrollbarsParams, overlayScrollbarsStyles } from 'common/components/OverlayScrollbars/constants';
+import { UploadMultipleImageButton } from 'common/hooks/useImageUploadButton';
+import { TRANSPARENCY_CHECKERBOARD_PATTERN_DARK_DATAURL } from 'features/controlLayers/konva/patterns/transparency-checkerboard-pattern';
+import type { AddImagesToNodeImageFieldCollection } from 'features/dnd/dnd';
+import { addImagesToNodeImageFieldCollectionDndTarget } from 'features/dnd/dnd';
+import { DndDropTarget } from 'features/dnd/DndDropTarget';
+import { DndImage } from 'features/dnd/DndImage';
+import { DndImageIcon } from 'features/dnd/DndImageIcon';
+import { removeImageFromNodeImageFieldCollectionAction } from 'features/imageActions/actions';
+import { useFieldIsInvalid } from 'features/nodes/hooks/useFieldIsInvalid';
+import { fieldImageCollectionValueChanged } from 'features/nodes/store/nodesSlice';
+import type { ImageFieldCollectionInputInstance, ImageFieldCollectionInputTemplate } from 'features/nodes/types/field';
+import { OverlayScrollbarsComponent } from 'overlayscrollbars-react';
+import { memo, useCallback, useMemo } from 'react';
+import { useTranslation } from 'react-i18next';
+import { PiArrowCounterClockwiseBold, PiExclamationMarkBold } from 'react-icons/pi';
+import { useGetImageDTOQuery } from 'services/api/endpoints/images';
+import type { ImageDTO } from 'services/api/types';
+
+import type { FieldComponentProps } from './types';
+
+const overlayscrollbarsOptions = getOverlayScrollbarsParams().options;
+
+const sx = {
+  borderWidth: 1,
+  '&[data-error=true]': {
+    borderColor: 'error.500',
+    borderStyle: 'solid',
+  },
+} satisfies SystemStyleObject;
+
+export const ImageFieldCollectionInputComponent = memo(
+  (props: FieldComponentProps<ImageFieldCollectionInputInstance, ImageFieldCollectionInputTemplate>) => {
+    const { t } = useTranslation();
+    const { nodeId, field } = props;
+    const store = useAppStore();
+
+    const isInvalid = useFieldIsInvalid(nodeId, field.name);
+
+    const dndTargetData = useMemo<AddImagesToNodeImageFieldCollection>(
+      () =>
+        addImagesToNodeImageFieldCollectionDndTarget.getData({ fieldIdentifier: { nodeId, fieldName: field.name } }),
+      [field, nodeId]
+    );
+
+    const onUpload = useCallback(
+      (imageDTOs: ImageDTO[]) => {
+        store.dispatch(
+          fieldImageCollectionValueChanged({
+            nodeId,
+            fieldName: field.name,
+            value: imageDTOs,
+          })
+        );
+      },
+      [store, nodeId, field.name]
+    );
+
+    const onRemoveImage = useCallback(
+      (imageName: string) => {
+        removeImageFromNodeImageFieldCollectionAction({
+          imageName,
+          fieldIdentifier: { nodeId, fieldName: field.name },
+          dispatch: store.dispatch,
+          getState: store.getState,
+        });
+      },
+      [field.name, nodeId, store.dispatch, store.getState]
+    );
+
+    return (
+      <Flex
+        className="nodrag"
+        position="relative"
+        w="full"
+        h="full"
+        minH={16}
+        maxH={64}
+        alignItems="stretch"
+        justifyContent="center"
+      >
+        {(!field.value || field.value.length === 0) && (
+          <UploadMultipleImageButton
+            w="full"
+            h="auto"
+            isError={isInvalid}
+            onUpload={onUpload}
+            fontSize={24}
+            variant="outline"
+          />
+        )}
+        {field.value && field.value.length > 0 && (
+          <Box w="full" h="auto" p={1} sx={sx} data-error={isInvalid} borderRadius="base">
+            <OverlayScrollbarsComponent
+              className="nowheel"
+              defer
+              style={overlayScrollbarsStyles}
+              options={overlayscrollbarsOptions}
+            >
+              <Grid w="full" h="full" templateColumns="repeat(4, 1fr)" gap={1}>
+                {field.value.map(({ image_name }) => (
+                  <GridItem key={image_name} position="relative" className="nodrag">
+                    <ImageGridItemContent imageName={image_name} onRemoveImage={onRemoveImage} />
+                  </GridItem>
+                ))}
+              </Grid>
+            </OverlayScrollbarsComponent>
+          </Box>
+        )}
+        <DndDropTarget
+          dndTarget={addImagesToNodeImageFieldCollectionDndTarget}
+          dndTargetData={dndTargetData}
+          label={t('gallery.drop')}
+        />
+      </Flex>
+    );
+  }
+);
+
+ImageFieldCollectionInputComponent.displayName = 'ImageFieldCollectionInputComponent';
+
+const ImageGridItemContent = memo(
+  ({ imageName, onRemoveImage }: { imageName: string; onRemoveImage: (imageName: string) => void }) => {
+    const query = useGetImageDTOQuery(imageName);
+    const onClickRemove = useCallback(() => {
+      onRemoveImage(imageName);
+    }, [imageName, onRemoveImage]);
+
+    if (query.isLoading) {
+      return <IAINoContentFallbackWithSpinner />;
+    }
+
+    if (!query.data) {
+      return <IAINoContentFallback icon={<PiExclamationMarkBold />} />;
+    }
+
+    return (
+      <>
+        <DndImage
+          imageDTO={query.data}
+          asThumbnail
+          objectFit="contain"
+          w="full"
+          h="full"
+          aspectRatio="1/1"
+          backgroundSize={8}
+          backgroundImage={TRANSPARENCY_CHECKERBOARD_PATTERN_DARK_DATAURL}
+        />
+        <DndImageIcon
+          onClick={onClickRemove}
+          icon={<PiArrowCounterClockwiseBold />}
+          tooltip="Reset Image"
+          position="absolute"
+          flexDir="column"
+          top={1}
+          insetInlineEnd={1}
+          gap={1}
+        />
+      </>
+    );
+  }
+);
+ImageGridItemContent.displayName = 'ImageGridItemContent';

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/ImageFieldInputComponent.tsx

@@ -38,7 +38,7 @@ const ImageFieldInputComponent = (props: FieldComponentProps<ImageFieldInputInst
   const dndTargetData = useMemo<SetNodeImageFieldImageDndTargetData>(
     () =>
       setNodeImageFieldImageDndTarget.getData(
-        { fieldIdentifer: { nodeId, fieldName: field.name } },
+        { fieldIdentifier: { nodeId, fieldName: field.name } },
         field.value?.image_name
       ),
     [field, nodeId]
@@ -85,13 +85,16 @@ const ImageFieldInputComponent = (props: FieldComponentProps<ImageFieldInputInst
       {imageDTO && (
         <>
           <DndImage imageDTO={imageDTO} minW={8} minH={8} />
-          <Flex position="absolute" flexDir="column" top={1} insetInlineEnd={1} gap={1}>
-            <DndImageIcon
-              onClick={handleReset}
-              icon={imageDTO ? <PiArrowCounterClockwiseBold /> : undefined}
-              tooltip="Reset Image"
-            />
-          </Flex>
+          <DndImageIcon
+            onClick={handleReset}
+            icon={imageDTO ? <PiArrowCounterClockwiseBold /> : undefined}
+            tooltip="Reset Image"
+            position="absolute"
+            flexDir="column"
+            top={1}
+            insetInlineEnd={1}
+            gap={1}
+          />
         </>
       )}
       <DndDropTarget

invokeai/frontend/web/src/features/nodes/hooks/useDoesInputHaveValue.ts

@@ -1,22 +0,0 @@
-import { createMemoizedSelector } from 'app/store/createMemoizedSelector';
-import { useAppSelector } from 'app/store/storeHooks';
-import { selectNodeData, selectNodesSlice } from 'features/nodes/store/selectors';
-import { useMemo } from 'react';
-
-export const useDoesInputHaveValue = (nodeId: string, fieldName: string): boolean => {
-  const selector = useMemo(
-    () =>
-      createMemoizedSelector(selectNodesSlice, (nodes) => {
-        const data = selectNodeData(nodes, nodeId);
-        if (!data) {
-          return false;
-        }
-        return data.inputs[fieldName]?.value !== undefined;
-      }),
-    [fieldName, nodeId]
-  );
-
-  const doesFieldHaveValue = useAppSelector(selector);
-
-  return doesFieldHaveValue;
-};

invokeai/frontend/web/src/features/nodes/hooks/useFieldIsInvalid.ts

@@ -0,0 +1,57 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { useAppSelector } from 'app/store/storeHooks';
+import { useConnectionState } from 'features/nodes/hooks/useConnectionState';
+import { useFieldInputTemplate } from 'features/nodes/hooks/useFieldInputTemplate';
+import { selectFieldInputInstance, selectNodesSlice } from 'features/nodes/store/selectors';
+import { isImageFieldCollectionInputInstance, isImageFieldCollectionInputTemplate } from 'features/nodes/types/field';
+import { useMemo } from 'react';
+
+export const useFieldIsInvalid = (nodeId: string, fieldName: string) => {
+  const template = useFieldInputTemplate(nodeId, fieldName);
+  const connectionState = useConnectionState({ nodeId, fieldName, kind: 'inputs' });
+
+  const selectIsInvalid = useMemo(() => {
+    return createSelector(selectNodesSlice, (nodes) => {
+      const field = selectFieldInputInstance(nodes, nodeId, fieldName);
+
+      // No field instance is a problem - should not happen
+      if (!field) {
+        return true;
+      }
+
+      // 'connection' input fields have no data validation - only connection validation
+      if (template.input === 'connection') {
+        return template.required && !connectionState.isConnected;
+      }
+
+      // 'any' input fields are valid if they are connected
+      if (template.input === 'any' && connectionState.isConnected) {
+        return false;
+      }
+
+      // If there is no valid for the field & the field is required, it is invalid
+      if (field.value === undefined) {
+        return template.required;
+      }
+
+      // Else special handling for individual field types
+      if (isImageFieldCollectionInputInstance(field) && isImageFieldCollectionInputTemplate(template)) {
+        // Image collections may have min or max item counts
+        if (template.minItems !== undefined && field.value.length < template.minItems) {
+          return true;
+        }
+
+        if (template.maxItems !== undefined && field.value.length > template.maxItems) {
+          return true;
+        }
+      }
+
+      // Field looks OK
+      return false;
+    });
+  }, [connectionState.isConnected, fieldName, nodeId, template]);
+
+  const isInvalid = useAppSelector(selectIsInvalid);
+
+  return isInvalid;
+};

invokeai/frontend/web/src/features/nodes/hooks/useNode.ts

@@ -0,0 +1,19 @@
+import { createMemoizedSelector } from 'app/store/createMemoizedSelector';
+import { useAppSelector } from 'app/store/storeHooks';
+import { selectNode, selectNodesSlice } from 'features/nodes/store/selectors';
+import { useMemo } from 'react';
+import type { Node } from 'reactflow';
+
+export const useNode = (nodeId: string): Node => {
+  const selector = useMemo(
+    () =>
+      createMemoizedSelector(selectNodesSlice, (nodes) => {
+        return selectNode(nodes, nodeId);
+      }),
+    [nodeId]
+  );
+
+  const node = useAppSelector(selector);
+
+  return node;
+};

invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts

@@ -16,6 +16,7 @@ import type {
   FieldValue,
   FloatFieldValue,
   FluxVAEModelFieldValue,
+  ImageFieldCollectionValue,
   ImageFieldValue,
   IntegerFieldValue,
   IPAdapterModelFieldValue,
@@ -42,6 +43,7 @@ import {
   zEnumFieldValue,
   zFloatFieldValue,
   zFluxVAEModelFieldValue,
+  zImageFieldCollectionValue,
   zImageFieldValue,
   zIntegerFieldValue,
   zIPAdapterModelFieldValue,
@@ -319,6 +321,9 @@ export const nodesSlice = createSlice({
     fieldImageValueChanged: (state, action: FieldValueAction<ImageFieldValue>) => {
       fieldValueReducer(state, action, zImageFieldValue);
     },
+    fieldImageCollectionValueChanged: (state, action: FieldValueAction<ImageFieldCollectionValue>) => {
+      fieldValueReducer(state, action, zImageFieldCollectionValue);
+    },
     fieldColorValueChanged: (state, action: FieldValueAction<ColorFieldValue>) => {
       fieldValueReducer(state, action, zColorFieldValue);
     },
@@ -416,6 +421,7 @@ export const {
   fieldControlNetModelValueChanged,
   fieldEnumModelValueChanged,
   fieldImageValueChanged,
+  fieldImageCollectionValueChanged,
   fieldIPAdapterModelValueChanged,
   fieldT2IAdapterModelValueChanged,
   fieldSpandrelImageToImageModelValueChanged,
@@ -527,6 +533,7 @@ export const isAnyNodeOrEdgeMutation = isAnyOf(
   fieldControlNetModelValueChanged,
   fieldEnumModelValueChanged,
   fieldImageValueChanged,
+  fieldImageCollectionValueChanged,
   fieldIPAdapterModelValueChanged,
   fieldT2IAdapterModelValueChanged,
   fieldLabelChanged,

invokeai/frontend/web/src/features/nodes/store/selectors.ts

@@ -5,8 +5,15 @@ import type { NodesState } from 'features/nodes/store/types';
 import type { FieldInputInstance } from 'features/nodes/types/field';
 import type { InvocationNode, InvocationNodeData } from 'features/nodes/types/invocation';
 import { isInvocationNode } from 'features/nodes/types/invocation';
+import type { Node } from 'reactflow';
 import { assert } from 'tsafe';
 
+export const selectNode = (nodesSlice: NodesState, nodeId: string): Node => {
+  const node = nodesSlice.nodes.find((node) => node.id === nodeId);
+  assert(node !== undefined, `Node ${nodeId} not found`);
+  return node;
+};
+
 export const selectInvocationNode = (nodesSlice: NodesState, nodeId: string): InvocationNode => {
   const node = nodesSlice.nodes.find((node) => node.id === nodeId);
   assert(isInvocationNode(node), `Node ${nodeId} is not an invocation node`);

invokeai/frontend/web/src/features/nodes/store/workflowSettingsSlice.ts

@@ -4,7 +4,7 @@ import type { PersistConfig, RootState } from 'app/store/store';
 import type { Selector } from 'react-redux';
 import { SelectionMode } from 'reactflow';
 
-type WorkflowSettingsState = {
+export type WorkflowSettingsState = {
   _version: 1;
   shouldShowMinimapPanel: boolean;
   shouldValidateGraph: boolean;

invokeai/frontend/web/src/features/nodes/types/common.ts

@@ -22,7 +22,7 @@ export const zColorField = z.object({
 });
 export type ColorField = z.infer<typeof zColorField>;
 
-export const zClassification = z.enum(['stable', 'beta', 'prototype', 'deprecated', 'internal']);
+export const zClassification = z.enum(['stable', 'beta', 'prototype', 'deprecated', 'internal', 'special']);
 export type Classification = z.infer<typeof zClassification>;
 
 export const zSchedulerField = z.enum([

invokeai/frontend/web/src/features/nodes/types/constants.ts

@@ -59,6 +59,7 @@ export const FIELD_COLORS: { [key: string]: string } = {
   EnumField: 'blue.500',
   FloatField: 'orange.500',
   ImageField: 'purple.500',
+  ImageBatchField: 'purple.500',
   IntegerField: 'red.500',
   IPAdapterField: 'teal.500',
   IPAdapterModelField: 'teal.500',

invokeai/frontend/web/src/features/nodes/types/field.ts

@@ -54,7 +54,10 @@ const zFieldOutputTemplateBase = zFieldTemplateBase.extend({
   fieldKind: z.literal('output'),
 });
 
-const zCardinality = z.enum(['SINGLE', 'COLLECTION', 'SINGLE_OR_COLLECTION']);
+const SINGLE = 'SINGLE' as const;
+const COLLECTION = 'COLLECTION' as const;
+const SINGLE_OR_COLLECTION = 'SINGLE_OR_COLLECTION' as const;
+const zCardinality = z.enum([SINGLE, COLLECTION, SINGLE_OR_COLLECTION]);
 
 const zFieldTypeBase = z.object({
   cardinality: zCardinality,
@@ -95,6 +98,14 @@ const zImageFieldType = zFieldTypeBase.extend({
   name: z.literal('ImageField'),
   originalType: zStatelessFieldType.optional(),
 });
+const zImageCollectionFieldType = z.object({
+  name: z.literal('ImageField'),
+  cardinality: z.literal(COLLECTION),
+  originalType: zStatelessFieldType.optional(),
+});
+export const isImageCollectionFieldType = (
+  fieldType: FieldType
+): fieldType is z.infer<typeof zImageCollectionFieldType> => zImageCollectionFieldType.safeParse(fieldType).success;
 const zBoardFieldType = zFieldTypeBase.extend({
   name: z.literal('BoardField'),
   originalType: zStatelessFieldType.optional(),
@@ -278,13 +289,23 @@ export const zStringFieldValue = z.string();
 const zStringFieldInputInstance = zFieldInputInstanceBase.extend({
   value: zStringFieldValue,
 });
-const zStringFieldInputTemplate = zFieldInputTemplateBase.extend({
-  type: zStringFieldType,
-  originalType: zFieldType.optional(),
-  default: zStringFieldValue,
-  maxLength: z.number().int().optional(),
-  minLength: z.number().int().optional(),
-});
+const zStringFieldInputTemplate = zFieldInputTemplateBase
+  .extend({
+    type: zStringFieldType,
+    originalType: zFieldType.optional(),
+    default: zStringFieldValue,
+    maxLength: z.number().int().gte(0).optional(),
+    minLength: z.number().int().gte(0).optional(),
+  })
+  .refine(
+    (val) => {
+      if (val.maxLength !== undefined && val.minLength !== undefined) {
+        return val.maxLength >= val.minLength;
+      }
+      return true;
+    },
+    { message: 'maxLength must be greater than or equal to minLength' }
+  );
 const zStringFieldOutputTemplate = zFieldOutputTemplateBase.extend({
   type: zStringFieldType,
 });
@@ -347,7 +368,6 @@ export const isEnumFieldInputTemplate = (val: unknown): val is EnumFieldInputTem
 // #endregion
 
 // #region ImageField
-
 export const zImageFieldValue = zImageField.optional();
 const zImageFieldInputInstance = zFieldInputInstanceBase.extend({
   value: zImageFieldValue,
@@ -369,6 +389,41 @@ export const isImageFieldInputTemplate = (val: unknown): val is ImageFieldInputT
   zImageFieldInputTemplate.safeParse(val).success;
 // #endregion
 
+// #region ImageField Collection
+export const zImageFieldCollectionValue = z.array(zImageField).optional();
+const zImageFieldCollectionInputInstance = zFieldInputInstanceBase.extend({
+  value: zImageFieldCollectionValue,
+});
+const zImageFieldCollectionInputTemplate = zFieldInputTemplateBase
+  .extend({
+    type: zImageCollectionFieldType,
+    originalType: zFieldType.optional(),
+    default: zImageFieldCollectionValue,
+    maxItems: z.number().int().gte(0).optional(),
+    minItems: z.number().int().gte(0).optional(),
+  })
+  .refine(
+    (val) => {
+      if (val.maxItems !== undefined && val.minItems !== undefined) {
+        return val.maxItems >= val.minItems;
+      }
+      return true;
+    },
+    { message: 'maxLength must be greater than or equal to minLength' }
+  );
+
+const zImageFieldCollectionOutputTemplate = zFieldOutputTemplateBase.extend({
+  type: zImageCollectionFieldType,
+});
+export type ImageFieldCollectionValue = z.infer<typeof zImageFieldCollectionValue>;
+export type ImageFieldCollectionInputInstance = z.infer<typeof zImageFieldCollectionInputInstance>;
+export type ImageFieldCollectionInputTemplate = z.infer<typeof zImageFieldCollectionInputTemplate>;
+export const isImageFieldCollectionInputInstance = (val: unknown): val is ImageFieldCollectionInputInstance =>
+  zImageFieldCollectionInputInstance.safeParse(val).success;
+export const isImageFieldCollectionInputTemplate = (val: unknown): val is ImageFieldCollectionInputTemplate =>
+  zImageFieldCollectionInputTemplate.safeParse(val).success;
+// #endregion
+
 // #region BoardField
 
 export const zBoardFieldValue = zBoardField.optional();
@@ -885,6 +940,7 @@ export const zStatefulFieldValue = z.union([
   zBooleanFieldValue,
   zEnumFieldValue,
   zImageFieldValue,
+  zImageFieldCollectionValue,
   zBoardFieldValue,
   zModelIdentifierFieldValue,
   zMainModelFieldValue,
@@ -920,6 +976,7 @@ const zStatefulFieldInputInstance = z.union([
   zBooleanFieldInputInstance,
   zEnumFieldInputInstance,
   zImageFieldInputInstance,
+  zImageFieldCollectionInputInstance,
   zBoardFieldInputInstance,
   zModelIdentifierFieldInputInstance,
   zMainModelFieldInputInstance,
@@ -954,6 +1011,7 @@ const zStatefulFieldInputTemplate = z.union([
   zBooleanFieldInputTemplate,
   zEnumFieldInputTemplate,
   zImageFieldInputTemplate,
+  zImageFieldCollectionInputTemplate,
   zBoardFieldInputTemplate,
   zModelIdentifierFieldInputTemplate,
   zMainModelFieldInputTemplate,
@@ -991,6 +1049,7 @@ const zStatefulFieldOutputTemplate = z.union([
   zBooleanFieldOutputTemplate,
   zEnumFieldOutputTemplate,
   zImageFieldOutputTemplate,
+  zImageFieldCollectionOutputTemplate,
   zBoardFieldOutputTemplate,
   zModelIdentifierFieldOutputTemplate,
   zMainModelFieldOutputTemplate,

invokeai/frontend/web/src/features/nodes/types/invocation.ts

@@ -64,8 +64,6 @@ export type AnyNode = Node<AnyNodeData>;
 export const isInvocationNode = (node?: AnyNode | null): node is InvocationNode =>
   Boolean(node && node.type === 'invocation');
 export const isNotesNode = (node?: AnyNode | null): node is NotesNode => Boolean(node && node.type === 'notes');
-export const isInvocationNodeData = (node?: AnyNodeData | null): node is InvocationNodeData =>
-  Boolean(node && !['notes', 'current_image'].includes(node.type)); // node.type may be 'notes', 'current_image', or any invocation type
 // #endregion
 
 // #region NodeExecutionState

invokeai/frontend/web/src/features/nodes/util/graph/buildNodesGraph.ts

@@ -1,16 +1,20 @@
+import { logger } from 'app/logging/logger';
 import type { NodesState } from 'features/nodes/store/types';
 import { isInvocationNode } from 'features/nodes/types/invocation';
 import { omit, reduce } from 'lodash-es';
 import type { AnyInvocation, Graph } from 'services/api/types';
 import { v4 as uuidv4 } from 'uuid';
 
+const log = logger('workflows');
+
 /**
  * Builds a graph from the node editor state.
  */
 export const buildNodesGraph = (nodesState: NodesState): Graph => {
   const { nodes, edges } = nodesState;
 
-  const filteredNodes = nodes.filter(isInvocationNode);
+  // Exclude all batch nodes - we will handle these in the batch setup in a diff function
+  const filteredNodes = nodes.filter(isInvocationNode).filter((node) => node.data.type !== 'image_batch');
 
   // Reduce the node editor nodes into invocation graph nodes
   const parsedNodes = filteredNodes.reduce<NonNullable<Graph['nodes']>>((nodesAccumulator, node) => {
@@ -47,22 +51,31 @@ export const buildNodesGraph = (nodesState: NodesState): Graph => {
     return nodesAccumulator;
   }, {});
 
+  const filteredNodeIds = filteredNodes.map(({ id }) => id);
+
   // skip out the "dummy" edges between collapsed nodes
-  const filteredEdges = edges.filter((n) => n.type !== 'collapsed');
+  const filteredEdges = edges
+    .filter((edge) => edge.type !== 'collapsed')
+    .filter((edge) => filteredNodeIds.includes(edge.source) && filteredNodeIds.includes(edge.target));
 
   // Reduce the node editor edges into invocation graph edges
   const parsedEdges = filteredEdges.reduce<NonNullable<Graph['edges']>>((edgesAccumulator, edge) => {
     const { source, target, sourceHandle, targetHandle } = edge;
 
+    if (!sourceHandle || !targetHandle) {
+      log.warn({ source, target, sourceHandle, targetHandle }, 'Missing source or taget handle for edge');
+      return edgesAccumulator;
+    }
+
     // Format the edges and add to the edges array
     edgesAccumulator.push({
       source: {
         node_id: source,
-        field: sourceHandle as string,
+        field: sourceHandle,
       },
       destination: {
         node_id: target,
-        field: targetHandle as string,
+        field: targetHandle,
       },
     });
 

invokeai/frontend/web/src/features/nodes/util/graph/generation/buildFLUXGraph.ts

@@ -218,27 +218,6 @@ export const buildFLUXGraph = async (
 
   const totalIPAdaptersAdded = ipAdapterResult.addedIPAdapters;
   if (totalIPAdaptersAdded > 0) {
-    assert(steps > 2);
-    const cfg_scale_start_step = 1;
-    const cfg_scale_end_step = Math.ceil(steps / 2);
-    assert(cfg_scale_end_step > cfg_scale_start_step);
-
-    const negCond = g.addNode({
-      type: 'flux_text_encoder',
-      id: getPrefixedId('flux_text_encoder'),
-      prompt: '',
-    });
-
-    g.addEdge(modelLoader, 'clip', negCond, 'clip');
-    g.addEdge(modelLoader, 't5_encoder', negCond, 't5_encoder');
-    g.addEdge(modelLoader, 'max_seq_len', negCond, 't5_max_seq_len');
-    g.addEdge(negCond, 'conditioning', denoise, 'negative_text_conditioning');
-
-    g.updateNode(denoise, {
-      cfg_scale: 3,
-      cfg_scale_start_step,
-      cfg_scale_end_step,
-    });
     g.addEdge(ipAdapterCollector, 'collection', denoise, 'ip_adapter');
   } else {
     g.deleteNode(ipAdapterCollector.id);

invokeai/frontend/web/src/features/nodes/util/schema/buildFieldInputTemplate.ts

@@ -13,6 +13,7 @@ import type {
   FloatFieldInputTemplate,
   FluxMainModelFieldInputTemplate,
   FluxVAEModelFieldInputTemplate,
+  ImageFieldCollectionInputTemplate,
   ImageFieldInputTemplate,
   IntegerFieldInputTemplate,
   IPAdapterModelFieldInputTemplate,
@@ -31,7 +32,7 @@ import type {
   T5EncoderModelFieldInputTemplate,
   VAEModelFieldInputTemplate,
 } from 'features/nodes/types/field';
-import { isStatefulFieldType } from 'features/nodes/types/field';
+import { isImageCollectionFieldType, isStatefulFieldType } from 'features/nodes/types/field';
 import type { InvocationFieldSchema } from 'features/nodes/types/openapi';
 import { isSchemaObject } from 'features/nodes/types/openapi';
 import { t } from 'i18next';
@@ -39,7 +40,7 @@ import { isNumber, startCase } from 'lodash-es';
 
 // eslint-disable-next-line @typescript-eslint/no-explicit-any
 type FieldInputTemplateBuilder<T extends FieldInputTemplate = any> = // valid `any`!
-  (arg: { schemaObject: InvocationFieldSchema; baseField: Omit<T, 'type'>; fieldType: T['type'] }) => T;
+  (arg: { schemaObject: InvocationFieldSchema; baseField: Omit<T, 'type' | 'default'>; fieldType: T['type'] }) => T;
 
 const buildIntegerFieldInputTemplate: FieldInputTemplateBuilder<IntegerFieldInputTemplate> = ({
   schemaObject,
@@ -408,6 +409,28 @@ const buildImageFieldInputTemplate: FieldInputTemplateBuilder<ImageFieldInputTem
   return template;
 };
 
+const buildImageFieldCollectionInputTemplate: FieldInputTemplateBuilder<ImageFieldCollectionInputTemplate> = ({
+  schemaObject,
+  baseField,
+  fieldType,
+}) => {
+  const template: ImageFieldCollectionInputTemplate = {
+    ...baseField,
+    type: fieldType,
+    default: schemaObject.default ?? (schemaObject.orig_required ? [] : undefined),
+  };
+
+  if (schemaObject.minItems !== undefined) {
+    template.minItems = schemaObject.minItems;
+  }
+
+  if (schemaObject.maxItems !== undefined) {
+    template.maxItems = schemaObject.maxItems;
+  }
+
+  return template;
+};
+
 const buildEnumFieldInputTemplate: FieldInputTemplateBuilder<EnumFieldInputTemplate> = ({
   schemaObject,
   baseField,
@@ -514,7 +537,7 @@ export const buildFieldInputTemplate = (
 
   // This is the base field template that is common to all fields. The builder function will add all other
   // properties to this template.
-  const baseField: Omit<FieldInputTemplate, 'type'> = {
+  const baseField: Omit<FieldInputTemplate, 'type' | 'default'> = {
     name: fieldName,
     title: fieldSchema.title ?? (fieldName ? startCase(fieldName) : ''),
     required,
@@ -529,14 +552,23 @@ export const buildFieldInputTemplate = (
   };
 
   if (isStatefulFieldType(fieldType)) {
-    const builder = TEMPLATE_BUILDER_MAP[fieldType.name];
-    const template = builder({
-      schemaObject: fieldSchema,
-      baseField,
-      fieldType,
-    });
+    if (isImageCollectionFieldType(fieldType)) {
+      fieldType;
+      return buildImageFieldCollectionInputTemplate({
+        schemaObject: fieldSchema,
+        baseField,
+        fieldType,
+      });
+    } else {
+      const builder = TEMPLATE_BUILDER_MAP[fieldType.name];
+      const template = builder({
+        schemaObject: fieldSchema,
+        baseField,
+        fieldType,
+      });
 
-    return template;
+      return template;
+    }
   } else {
     // This is a StatelessField, create it directly.
     const template: StatelessFieldInputTemplate = {

invokeai/frontend/web/src/features/parameters/util/optimalDimension.ts

@@ -24,7 +24,7 @@ export const getOptimalDimension = (base?: BaseModelType | null): number => {
 /**
  * Gets the grid size for a given base model. For Flux, the grid size is 16, otherwise it is 8.
  * - sd-1, sd-2, sdxl: 8
- * - flux: 16
+ * - flux, sd-3: 16
  * - default: 8
  * @param base The base model
  * @returns The grid size for the model, defaulting to 8
@@ -32,6 +32,7 @@ export const getOptimalDimension = (base?: BaseModelType | null): number => {
 export const getGridSize = (base?: BaseModelType | null): number => {
   switch (base) {
     case 'flux':
+    case 'sd-3':
       return 16;
     case 'sd-1':
     case 'sd-2':

invokeai/frontend/web/src/features/queue/components/InvokeButtonTooltip/InvokeButtonTooltip.tsx

@@ -0,0 +1,310 @@
+import type { TooltipProps } from '@invoke-ai/ui-library';
+import { Divider, Flex, ListItem, Text, Tooltip, UnorderedList } from '@invoke-ai/ui-library';
+import { useStore } from '@nanostores/react';
+import { $true } from 'app/store/nanostores/util';
+import { useAppSelector } from 'app/store/storeHooks';
+import { useCanvasManagerSafe } from 'features/controlLayers/contexts/CanvasManagerProviderGate';
+import { selectSendToCanvas } from 'features/controlLayers/store/canvasSettingsSlice';
+import { selectIterations } from 'features/controlLayers/store/paramsSlice';
+import { selectDynamicPromptsIsLoading } from 'features/dynamicPrompts/store/dynamicPromptsSlice';
+import { selectAutoAddBoardId } from 'features/gallery/store/gallerySelectors';
+import { $templates } from 'features/nodes/store/nodesSlice';
+import type { Reason } from 'features/queue/store/readiness';
+import {
+  buildSelectIsReadyToEnqueueCanvasTab,
+  buildSelectIsReadyToEnqueueUpscaleTab,
+  buildSelectIsReadyToEnqueueWorkflowsTab,
+  buildSelectReasonsWhyCannotEnqueueCanvasTab,
+  buildSelectReasonsWhyCannotEnqueueUpscaleTab,
+  buildSelectReasonsWhyCannotEnqueueWorkflowsTab,
+  selectPromptsCount,
+  selectWorkflowsBatchSize,
+} from 'features/queue/store/readiness';
+import { selectActiveTab } from 'features/ui/store/uiSelectors';
+import type { PropsWithChildren } from 'react';
+import { memo, useMemo } from 'react';
+import { useTranslation } from 'react-i18next';
+import { enqueueMutationFixedCacheKeyOptions, useEnqueueBatchMutation } from 'services/api/endpoints/queue';
+import { useBoardName } from 'services/api/hooks/useBoardName';
+import { $isConnected } from 'services/events/stores';
+
+type Props = TooltipProps & {
+  prepend?: boolean;
+};
+
+export const InvokeButtonTooltip = ({ prepend, children, ...rest }: PropsWithChildren<Props>) => {
+  return (
+    <Tooltip label={<TooltipContent prepend={prepend} />} maxW={512} {...rest}>
+      {children}
+    </Tooltip>
+  );
+};
+
+const TooltipContent = memo(({ prepend = false }: { prepend?: boolean }) => {
+  const activeTab = useAppSelector(selectActiveTab);
+
+  if (activeTab === 'canvas') {
+    return <CanvasTabTooltipContent prepend={prepend} />;
+  }
+
+  if (activeTab === 'workflows') {
+    return <WorkflowsTabTooltipContent prepend={prepend} />;
+  }
+
+  if (activeTab === 'upscaling') {
+    return <UpscaleTabTooltipContent prepend={prepend} />;
+  }
+
+  return null;
+});
+TooltipContent.displayName = 'TooltipContent';
+
+const CanvasTabTooltipContent = memo(({ prepend = false }: { prepend?: boolean }) => {
+  const isConnected = useStore($isConnected);
+  const canvasManager = useCanvasManagerSafe();
+  const canvasIsFiltering = useStore(canvasManager?.stateApi.$isFiltering ?? $true);
+  const canvasIsTransforming = useStore(canvasManager?.stateApi.$isTransforming ?? $true);
+  const canvasIsRasterizing = useStore(canvasManager?.stateApi.$isRasterizing ?? $true);
+  const canvasIsSelectingObject = useStore(canvasManager?.stateApi.$isSegmenting ?? $true);
+  const canvasIsCompositing = useStore(canvasManager?.compositor.$isBusy ?? $true);
+
+  const selectIsReady = useMemo(
+    () =>
+      buildSelectIsReadyToEnqueueCanvasTab({
+        isConnected,
+        canvasIsFiltering,
+        canvasIsTransforming,
+        canvasIsRasterizing,
+        canvasIsSelectingObject,
+        canvasIsCompositing,
+      }),
+    [
+      isConnected,
+      canvasIsCompositing,
+      canvasIsFiltering,
+      canvasIsRasterizing,
+      canvasIsSelectingObject,
+      canvasIsTransforming,
+    ]
+  );
+
+  const selectReasons = useMemo(
+    () =>
+      buildSelectReasonsWhyCannotEnqueueCanvasTab({
+        isConnected,
+        canvasIsFiltering,
+        canvasIsTransforming,
+        canvasIsRasterizing,
+        canvasIsSelectingObject,
+        canvasIsCompositing,
+      }),
+    [
+      isConnected,
+      canvasIsCompositing,
+      canvasIsFiltering,
+      canvasIsRasterizing,
+      canvasIsSelectingObject,
+      canvasIsTransforming,
+    ]
+  );
+
+  const isReady = useAppSelector(selectIsReady);
+  const reasons = useAppSelector(selectReasons);
+
+  return (
+    <Flex flexDir="column" gap={1}>
+      <IsReadyText isReady={isReady} prepend={prepend} />
+      <QueueCountPredictionCanvasOrUpscaleTab />
+      {reasons.length > 0 && (
+        <>
+          <StyledDivider />
+          <ReasonsList reasons={reasons} />
+        </>
+      )}
+      <StyledDivider />
+      <AddingToText />
+    </Flex>
+  );
+});
+CanvasTabTooltipContent.displayName = 'CanvasTabTooltipContent';
+
+const UpscaleTabTooltipContent = memo(({ prepend = false }: { prepend?: boolean }) => {
+  const isConnected = useStore($isConnected);
+
+  const selectIsReady = useMemo(() => buildSelectIsReadyToEnqueueUpscaleTab({ isConnected }), [isConnected]);
+  const selectReasons = useMemo(() => buildSelectReasonsWhyCannotEnqueueUpscaleTab({ isConnected }), [isConnected]);
+
+  const isReady = useAppSelector(selectIsReady);
+  const reasons = useAppSelector(selectReasons);
+
+  return (
+    <Flex flexDir="column" gap={1}>
+      <IsReadyText isReady={isReady} prepend={prepend} />
+      <QueueCountPredictionCanvasOrUpscaleTab />
+      {reasons.length > 0 && (
+        <>
+          <StyledDivider />
+          <ReasonsList reasons={reasons} />
+        </>
+      )}
+      <StyledDivider />
+      <AddingToText />
+    </Flex>
+  );
+});
+UpscaleTabTooltipContent.displayName = 'UpscaleTabTooltipContent';
+
+const WorkflowsTabTooltipContent = memo(({ prepend = false }: { prepend?: boolean }) => {
+  const isConnected = useStore($isConnected);
+  const templates = useStore($templates);
+
+  const selectIsReady = useMemo(
+    () => buildSelectIsReadyToEnqueueWorkflowsTab({ isConnected, templates }),
+    [isConnected, templates]
+  );
+  const selectReasons = useMemo(
+    () => buildSelectReasonsWhyCannotEnqueueWorkflowsTab({ isConnected, templates }),
+    [isConnected, templates]
+  );
+
+  const isReady = useAppSelector(selectIsReady);
+  const reasons = useAppSelector(selectReasons);
+
+  return (
+    <Flex flexDir="column" gap={1}>
+      <IsReadyText isReady={isReady} prepend={prepend} />
+      <QueueCountPredictionWorkflowsTab />
+      {reasons.length > 0 && (
+        <>
+          <StyledDivider />
+          <ReasonsList reasons={reasons} />
+        </>
+      )}
+      <StyledDivider />
+      <AddingToText />
+    </Flex>
+  );
+});
+WorkflowsTabTooltipContent.displayName = 'WorkflowsTabTooltipContent';
+
+const QueueCountPredictionCanvasOrUpscaleTab = memo(() => {
+  const { t } = useTranslation();
+  const promptsCount = useAppSelector(selectPromptsCount);
+  const iterationsCount = useAppSelector(selectIterations);
+
+  const text = useMemo(() => {
+    const generationCount = Math.min(promptsCount * iterationsCount, 10000);
+    const prompts = t('queue.prompts', { count: promptsCount });
+    const iterations = t('queue.iterations', { count: iterationsCount });
+    const generations = t('queue.generations', { count: generationCount });
+    return `${promptsCount} ${prompts} \u00d7 ${iterationsCount} ${iterations} -> ${generationCount} ${generations}`.toLowerCase();
+  }, [iterationsCount, promptsCount, t]);
+
+  return <Text>{text}</Text>;
+});
+QueueCountPredictionCanvasOrUpscaleTab.displayName = 'QueueCountPredictionCanvasOrUpscaleTab';
+
+const QueueCountPredictionWorkflowsTab = memo(() => {
+  const { t } = useTranslation();
+  const batchSize = useAppSelector(selectWorkflowsBatchSize);
+  const iterationsCount = useAppSelector(selectIterations);
+
+  const text = useMemo(() => {
+    const generationCount = Math.min(batchSize * iterationsCount, 10000);
+    const iterations = t('queue.iterations', { count: iterationsCount });
+    const generations = t('queue.generations', { count: generationCount });
+    return `${batchSize} ${t('queue.batchSize')} \u00d7 ${iterationsCount} ${iterations} -> ${generationCount} ${generations}`.toLowerCase();
+  }, [batchSize, iterationsCount, t]);
+
+  return <Text>{text}</Text>;
+});
+QueueCountPredictionWorkflowsTab.displayName = 'QueueCountPredictionWorkflowsTab';
+
+const IsReadyText = memo(({ isReady, prepend }: { isReady: boolean; prepend: boolean }) => {
+  const { t } = useTranslation();
+  const isLoadingDynamicPrompts = useAppSelector(selectDynamicPromptsIsLoading);
+  const [_, enqueueMutation] = useEnqueueBatchMutation(enqueueMutationFixedCacheKeyOptions);
+
+  const text = useMemo(() => {
+    if (enqueueMutation.isLoading) {
+      return t('queue.enqueueing');
+    }
+    if (isLoadingDynamicPrompts) {
+      return t('dynamicPrompts.loading');
+    }
+    if (isReady) {
+      if (prepend) {
+        return t('queue.queueFront');
+      }
+      return t('queue.queueBack');
+    }
+    return t('queue.notReady');
+  }, [enqueueMutation.isLoading, isLoadingDynamicPrompts, isReady, prepend, t]);
+
+  return <Text fontWeight="semibold">{text}</Text>;
+});
+IsReadyText.displayName = 'IsReadyText';
+
+const ReasonsList = memo(({ reasons }: { reasons: Reason[] }) => {
+  return (
+    <UnorderedList>
+      {reasons.map((reason, i) => (
+        <ReasonListItem key={`${reason.content}.${i}`} reason={reason} />
+      ))}
+    </UnorderedList>
+  );
+});
+ReasonsList.displayName = 'ReasonsList';
+
+const ReasonListItem = memo(({ reason }: { reason: Reason }) => {
+  return (
+    <ListItem>
+      <span>
+        {reason.prefix && (
+          <Text as="span" fontWeight="semibold">
+            {reason.prefix}:{' '}
+          </Text>
+        )}
+        <Text as="span">{reason.content}</Text>
+      </span>
+    </ListItem>
+  );
+});
+ReasonListItem.displayName = 'ReasonListItem';
+
+const StyledDivider = memo(() => <Divider opacity={0.2} borderColor="base.900" />);
+StyledDivider.displayName = 'StyledDivider';
+
+const AddingToText = memo(() => {
+  const { t } = useTranslation();
+  const sendToCanvas = useAppSelector(selectSendToCanvas);
+  const autoAddBoardId = useAppSelector(selectAutoAddBoardId);
+  const autoAddBoardName = useBoardName(autoAddBoardId);
+
+  const addingTo = useMemo(() => {
+    if (sendToCanvas) {
+      return t('controlLayers.stagingOnCanvas');
+    }
+    return t('parameters.invoke.addingImagesTo');
+  }, [sendToCanvas, t]);
+
+  const destination = useMemo(() => {
+    if (sendToCanvas) {
+      return t('queue.canvas');
+    }
+    if (autoAddBoardName) {
+      return autoAddBoardName;
+    }
+    return t('boards.uncategorized');
+  }, [autoAddBoardName, sendToCanvas, t]);
+
+  return (
+    <Text fontStyle="oblique 10deg">
+      {addingTo}{' '}
+      <Text as="span" fontWeight="semibold">
+        {destination}
+      </Text>
+    </Text>
+  );
+});
+AddingToText.displayName = 'AddingToText';

invokeai/frontend/web/src/features/queue/components/InvokeQueueBackButton.tsx

@@ -6,7 +6,7 @@ import { useInvoke } from 'features/queue/hooks/useInvoke';
 import { memo } from 'react';
 import { PiLightningFill, PiSparkleFill } from 'react-icons/pi';
 
-import { QueueButtonTooltip } from './QueueButtonTooltip';
+import { InvokeButtonTooltip } from './InvokeButtonTooltip/InvokeButtonTooltip';
 
 const invoke = 'Invoke';
 
@@ -18,7 +18,7 @@ export const InvokeButton = memo(() => {
   return (
     <Flex pos="relative" w="200px">
       <QueueIterationsNumberInput />
-      <QueueButtonTooltip prepend={shift}>
+      <InvokeButtonTooltip prepend={shift}>
         <Button
           onClick={shift ? queue.queueFront : queue.queueBack}
           isLoading={queue.isLoading || isLoadingDynamicPrompts}
@@ -36,7 +36,7 @@ export const InvokeButton = memo(() => {
           <span>{invoke}</span>
           <Spacer />
         </Button>
-      </QueueButtonTooltip>
+      </InvokeButtonTooltip>
     </Flex>
   );
 });

invokeai/frontend/web/src/features/queue/components/QueueActionsMenuButton.tsx

@@ -1,9 +1,6 @@
 import { IconButton, Menu, MenuButton, MenuGroup, MenuItem, MenuList } from '@invoke-ai/ui-library';
 import { useAppDispatch } from 'app/store/storeHooks';
-import {
-  useNewCanvasSession,
-  useNewGallerySession,
-} from 'features/controlLayers/components/NewSessionConfirmationAlertDialog';
+import { SessionMenuItems } from 'common/components/SessionMenuItems';
 import { useClearQueue } from 'features/queue/components/ClearQueueConfirmationAlertDialog';
 import { QueueCountBadge } from 'features/queue/components/QueueCountBadge';
 import { usePauseProcessor } from 'features/queue/hooks/usePauseProcessor';
@@ -12,16 +9,7 @@ import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
 import { setActiveTab } from 'features/ui/store/uiSlice';
 import { memo, useCallback, useRef } from 'react';
 import { useTranslation } from 'react-i18next';
-import {
-  PiImageBold,
-  PiListBold,
-  PiPaintBrushBold,
-  PiPauseFill,
-  PiPlayFill,
-  PiQueueBold,
-  PiTrashSimpleBold,
-  PiXBold,
-} from 'react-icons/pi';
+import { PiListBold, PiPauseFill, PiPlayFill, PiQueueBold, PiTrashSimpleBold, PiXBold } from 'react-icons/pi';
 
 export const QueueActionsMenuButton = memo(() => {
   const ref = useRef<HTMLDivElement>(null);
@@ -29,8 +17,6 @@ export const QueueActionsMenuButton = memo(() => {
   const { t } = useTranslation();
   const isPauseEnabled = useFeatureStatus('pauseQueue');
   const isResumeEnabled = useFeatureStatus('resumeQueue');
-  const { newGallerySessionWithDialog } = useNewGallerySession();
-  const { newCanvasSessionWithDialog } = useNewCanvasSession();
   const clearQueue = useClearQueue();
   const {
     resumeProcessor,
@@ -52,12 +38,7 @@ export const QueueActionsMenuButton = memo(() => {
         <MenuButton ref={ref} as={IconButton} size="lg" aria-label="Queue Actions Menu" icon={<PiListBold />} />
         <MenuList>
           <MenuGroup title={t('common.new')}>
-            <MenuItem icon={<PiImageBold />} onClick={newGallerySessionWithDialog}>
-              {t('controlLayers.newGallerySession')}
-            </MenuItem>
-            <MenuItem icon={<PiPaintBrushBold />} onClick={newCanvasSessionWithDialog}>
-              {t('controlLayers.newCanvasSession')}
-            </MenuItem>
+            <SessionMenuItems />
           </MenuGroup>
           <MenuGroup title={t('queue.queue')}>
             <MenuItem

invokeai/frontend/web/src/features/queue/components/QueueButtonTooltip.tsx

@@ -1,123 +0,0 @@
-import type { TooltipProps } from '@invoke-ai/ui-library';
-import { Divider, Flex, ListItem, Text, Tooltip, UnorderedList } from '@invoke-ai/ui-library';
-import { createSelector } from '@reduxjs/toolkit';
-import { useAppSelector } from 'app/store/storeHooks';
-import { useIsReadyToEnqueue } from 'common/hooks/useIsReadyToEnqueue';
-import { selectSendToCanvas } from 'features/controlLayers/store/canvasSettingsSlice';
-import { selectIterations, selectParamsSlice } from 'features/controlLayers/store/paramsSlice';
-import {
-  selectDynamicPromptsIsLoading,
-  selectDynamicPromptsSlice,
-} from 'features/dynamicPrompts/store/dynamicPromptsSlice';
-import { getShouldProcessPrompt } from 'features/dynamicPrompts/util/getShouldProcessPrompt';
-import { selectAutoAddBoardId } from 'features/gallery/store/gallerySelectors';
-import type { PropsWithChildren } from 'react';
-import { memo, useMemo } from 'react';
-import { useTranslation } from 'react-i18next';
-import { useEnqueueBatchMutation } from 'services/api/endpoints/queue';
-import { useBoardName } from 'services/api/hooks/useBoardName';
-
-const selectPromptsCount = createSelector(selectParamsSlice, selectDynamicPromptsSlice, (params, dynamicPrompts) =>
-  getShouldProcessPrompt(params.positivePrompt) ? dynamicPrompts.prompts.length : 1
-);
-
-type Props = TooltipProps & {
-  prepend?: boolean;
-};
-
-export const QueueButtonTooltip = ({ prepend, children, ...rest }: PropsWithChildren<Props>) => {
-  return (
-    <Tooltip label={<TooltipContent prepend={prepend} />} maxW={512} {...rest}>
-      {children}
-    </Tooltip>
-  );
-};
-
-const TooltipContent = memo(({ prepend = false }: { prepend?: boolean }) => {
-  const { t } = useTranslation();
-  const { isReady, reasons } = useIsReadyToEnqueue();
-  const sendToCanvas = useAppSelector(selectSendToCanvas);
-  const isLoadingDynamicPrompts = useAppSelector(selectDynamicPromptsIsLoading);
-  const promptsCount = useAppSelector(selectPromptsCount);
-  const iterationsCount = useAppSelector(selectIterations);
-  const autoAddBoardId = useAppSelector(selectAutoAddBoardId);
-  const autoAddBoardName = useBoardName(autoAddBoardId);
-  const [_, { isLoading }] = useEnqueueBatchMutation({
-    fixedCacheKey: 'enqueueBatch',
-  });
-  const queueCountPredictionLabel = useMemo(() => {
-    const generationCount = Math.min(promptsCount * iterationsCount, 10000);
-    const prompts = t('queue.prompts', { count: promptsCount });
-    const iterations = t('queue.iterations', { count: iterationsCount });
-    const generations = t('queue.generations', { count: generationCount });
-    return `${promptsCount} ${prompts} \u00d7 ${iterationsCount} ${iterations} -> ${generationCount} ${generations}`.toLowerCase();
-  }, [iterationsCount, promptsCount, t]);
-
-  const label = useMemo(() => {
-    if (isLoading) {
-      return t('queue.enqueueing');
-    }
-    if (isLoadingDynamicPrompts) {
-      return t('dynamicPrompts.loading');
-    }
-    if (isReady) {
-      if (prepend) {
-        return t('queue.queueFront');
-      }
-      return t('queue.queueBack');
-    }
-    return t('queue.notReady');
-  }, [isLoading, isLoadingDynamicPrompts, isReady, prepend, t]);
-
-  const addingTo = useMemo(() => {
-    if (sendToCanvas) {
-      return t('controlLayers.stagingOnCanvas');
-    }
-    return t('parameters.invoke.addingImagesTo');
-  }, [sendToCanvas, t]);
-
-  const destination = useMemo(() => {
-    if (sendToCanvas) {
-      return t('queue.canvas');
-    }
-    if (autoAddBoardName) {
-      return autoAddBoardName;
-    }
-    return t('boards.uncategorized');
-  }, [autoAddBoardName, sendToCanvas, t]);
-
-  return (
-    <Flex flexDir="column" gap={1}>
-      <Text fontWeight="semibold">{label}</Text>
-      <Text>{queueCountPredictionLabel}</Text>
-      {reasons.length > 0 && (
-        <>
-          <Divider opacity={0.2} borderColor="base.900" />
-          <UnorderedList>
-            {reasons.map((reason, i) => (
-              <ListItem key={`${reason.content}.${i}`}>
-                <span>
-                  {reason.prefix && (
-                    <Text as="span" fontWeight="semibold">
-                      {reason.prefix}:{' '}
-                    </Text>
-                  )}
-                  <Text as="span">{reason.content}</Text>
-                </span>
-              </ListItem>
-            ))}
-          </UnorderedList>
-        </>
-      )}
-      <Divider opacity={0.2} borderColor="base.900" />
-      <Text fontStyle="oblique 10deg">
-        {addingTo}{' '}
-        <Text as="span" fontWeight="semibold">
-          {destination}
-        </Text>
-      </Text>
-    </Flex>
-  );
-});
-
-TooltipContent.displayName = 'QueueButtonTooltipContent';

invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemComponent.tsx

@@ -101,7 +101,7 @@ const QueueItemComponent = ({ index, item, context }: InnerItemProps) => {
                     <Text as="span" fontWeight="semibold">
                       {node_path}.{field_name}
                     </Text>
-                    : {value}
+                    : {JSON.stringify(value)}
                   </Text>
                 ))}
             </Flex>

invokeai/frontend/web/src/features/queue/hooks/useInvoke.ts

@@ -1,17 +1,63 @@
+import { useStore } from '@nanostores/react';
 import { enqueueRequested } from 'app/store/actions';
+import { $true } from 'app/store/nanostores/util';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import { useIsReadyToEnqueue } from 'common/hooks/useIsReadyToEnqueue';
+import { useCanvasManagerSafe } from 'features/controlLayers/contexts/CanvasManagerProviderGate';
+import { $templates } from 'features/nodes/store/nodesSlice';
+import {
+  buildSelectIsReadyToEnqueueCanvasTab,
+  buildSelectIsReadyToEnqueueUpscaleTab,
+  buildSelectIsReadyToEnqueueWorkflowsTab,
+} from 'features/queue/store/readiness';
 import { selectActiveTab } from 'features/ui/store/uiSelectors';
-import { useCallback } from 'react';
-import { useEnqueueBatchMutation } from 'services/api/endpoints/queue';
+import { useCallback, useMemo } from 'react';
+import { enqueueMutationFixedCacheKeyOptions, useEnqueueBatchMutation } from 'services/api/endpoints/queue';
+import { $isConnected } from 'services/events/stores';
 
 export const useInvoke = () => {
   const dispatch = useAppDispatch();
   const tabName = useAppSelector(selectActiveTab);
-  const { isReady } = useIsReadyToEnqueue();
-  const [_, { isLoading }] = useEnqueueBatchMutation({
-    fixedCacheKey: 'enqueueBatch',
-  });
+  const isConnected = useStore($isConnected);
+  const canvasManager = useCanvasManagerSafe();
+  const canvasIsFiltering = useStore(canvasManager?.stateApi.$isFiltering ?? $true);
+  const canvasIsTransforming = useStore(canvasManager?.stateApi.$isTransforming ?? $true);
+  const canvasIsRasterizing = useStore(canvasManager?.stateApi.$isRasterizing ?? $true);
+  const canvasIsSelectingObject = useStore(canvasManager?.stateApi.$isSegmenting ?? $true);
+  const canvasIsCompositing = useStore(canvasManager?.compositor.$isBusy ?? $true);
+  const templates = useStore($templates);
+
+  const selectIsReady = useMemo(() => {
+    if (tabName === 'canvas') {
+      return buildSelectIsReadyToEnqueueCanvasTab({
+        isConnected,
+        canvasIsFiltering,
+        canvasIsTransforming,
+        canvasIsRasterizing,
+        canvasIsSelectingObject,
+        canvasIsCompositing,
+      });
+    }
+    if (tabName === 'upscaling') {
+      return buildSelectIsReadyToEnqueueUpscaleTab({ isConnected });
+    }
+    if (tabName === 'workflows') {
+      return buildSelectIsReadyToEnqueueWorkflowsTab({ isConnected, templates });
+    }
+    return () => false;
+  }, [
+    tabName,
+    isConnected,
+    canvasIsFiltering,
+    canvasIsTransforming,
+    canvasIsRasterizing,
+    canvasIsSelectingObject,
+    canvasIsCompositing,
+    templates,
+  ]);
+
+  const isReady = useAppSelector(selectIsReady);
+
+  const [_, { isLoading }] = useEnqueueBatchMutation(enqueueMutationFixedCacheKeyOptions);
   const queueBack = useCallback(() => {
     if (!isReady) {
       return;

invokeai/frontend/web/src/features/queue/hooks/useIsQueueMutationInProgress.ts

@@ -1,4 +1,5 @@
 import {
+  enqueueMutationFixedCacheKeyOptions,
   useCancelQueueItemMutation,
   // useCancelByBatchIdsMutation,
   useClearQueueMutation,
@@ -9,9 +10,9 @@ import {
 } from 'services/api/endpoints/queue';
 
 export const useIsQueueMutationInProgress = () => {
-  const [_triggerEnqueueBatch, { isLoading: isLoadingEnqueueBatch }] = useEnqueueBatchMutation({
-    fixedCacheKey: 'enqueueBatch',
-  });
+  const [_triggerEnqueueBatch, { isLoading: isLoadingEnqueueBatch }] = useEnqueueBatchMutation(
+    enqueueMutationFixedCacheKeyOptions
+  );
   const [_triggerResumeProcessor, { isLoading: isLoadingResumeProcessor }] = useResumeProcessorMutation({
     fixedCacheKey: 'resumeProcessor',
   });

invokeai/frontend/web/src/features/queue/store/readiness.ts

@@ -0,0 +1,518 @@
+import { createSelector } from '@reduxjs/toolkit';
+import type { AppConfig } from 'app/types/invokeai';
+import type { ParamsState } from 'features/controlLayers/store/paramsSlice';
+import { selectParamsSlice } from 'features/controlLayers/store/paramsSlice';
+import { selectCanvasSlice } from 'features/controlLayers/store/selectors';
+import type { CanvasState } from 'features/controlLayers/store/types';
+import type { DynamicPromptsState } from 'features/dynamicPrompts/store/dynamicPromptsSlice';
+import { selectDynamicPromptsSlice } from 'features/dynamicPrompts/store/dynamicPromptsSlice';
+import { getShouldProcessPrompt } from 'features/dynamicPrompts/util/getShouldProcessPrompt';
+import { selectNodesSlice } from 'features/nodes/store/selectors';
+import type { NodesState, Templates } from 'features/nodes/store/types';
+import type { WorkflowSettingsState } from 'features/nodes/store/workflowSettingsSlice';
+import { selectWorkflowSettingsSlice } from 'features/nodes/store/workflowSettingsSlice';
+import { isImageFieldCollectionInputInstance, isImageFieldCollectionInputTemplate } from 'features/nodes/types/field';
+import { isInvocationNode } from 'features/nodes/types/invocation';
+import type { UpscaleState } from 'features/parameters/store/upscaleSlice';
+import { selectUpscaleSlice } from 'features/parameters/store/upscaleSlice';
+import { selectConfigSlice } from 'features/system/store/configSlice';
+import i18n from 'i18next';
+import { forEach, upperFirst } from 'lodash-es';
+import { getConnectedEdges } from 'reactflow';
+
+/**
+ * This file contains selectors and utilities for determining the app is ready to enqueue generations. The handling
+ * differs for each tab (canvas, upscaling, workflows).
+ *
+ * For example, the canvas tab needs to check the status of the canvas manager before enqueuing, while the workflows
+ * tab needs to check the status of the nodes and their connections.
+ */
+
+const LAYER_TYPE_TO_TKEY = {
+  reference_image: 'controlLayers.referenceImage',
+  inpaint_mask: 'controlLayers.inpaintMask',
+  regional_guidance: 'controlLayers.regionalGuidance',
+  raster_layer: 'controlLayers.rasterLayer',
+  control_layer: 'controlLayers.controlLayer',
+} as const;
+
+export type Reason = { prefix?: string; content: string };
+
+const disconnectedReason = (t: typeof i18n.t) => ({ content: t('parameters.invoke.systemDisconnected') });
+
+const getReasonsWhyCannotEnqueueWorkflowsTab = (arg: {
+  isConnected: boolean;
+  nodes: NodesState;
+  workflowSettings: WorkflowSettingsState;
+  templates: Templates;
+}): Reason[] => {
+  const { isConnected, nodes, workflowSettings, templates } = arg;
+  const reasons: Reason[] = [];
+
+  if (!isConnected) {
+    reasons.push(disconnectedReason(i18n.t));
+  }
+
+  if (workflowSettings.shouldValidateGraph) {
+    if (!nodes.nodes.length) {
+      reasons.push({ content: i18n.t('parameters.invoke.noNodesInGraph') });
+    }
+
+    nodes.nodes.forEach((node) => {
+      if (!isInvocationNode(node)) {
+        return;
+      }
+
+      const nodeTemplate = templates[node.data.type];
+
+      if (!nodeTemplate) {
+        // Node type not found
+        reasons.push({ content: i18n.t('parameters.invoke.missingNodeTemplate') });
+        return;
+      }
+
+      const connectedEdges = getConnectedEdges([node], nodes.edges);
+
+      forEach(node.data.inputs, (field) => {
+        const fieldTemplate = nodeTemplate.inputs[field.name];
+        const hasConnection = connectedEdges.some(
+          (edge) => edge.target === node.id && edge.targetHandle === field.name
+        );
+
+        if (!fieldTemplate) {
+          reasons.push({ content: i18n.t('parameters.invoke.missingFieldTemplate') });
+          return;
+        }
+
+        const baseTKeyOptions = {
+          nodeLabel: node.data.label || nodeTemplate.title,
+          fieldLabel: field.label || fieldTemplate.title,
+        };
+
+        if (fieldTemplate.required && field.value === undefined && !hasConnection) {
+          reasons.push({ content: i18n.t('parameters.invoke.missingInputForField', baseTKeyOptions) });
+          return;
+        } else if (
+          field.value &&
+          isImageFieldCollectionInputInstance(field) &&
+          isImageFieldCollectionInputTemplate(fieldTemplate)
+        ) {
+          // Image collections may have min or max items to validate
+          // TODO(psyche): generalize this to other collection types
+          if (fieldTemplate.minItems !== undefined && fieldTemplate.minItems > 0 && field.value.length === 0) {
+            reasons.push({ content: i18n.t('parameters.invoke.collectionEmpty', baseTKeyOptions) });
+            return;
+          }
+          if (fieldTemplate.minItems !== undefined && field.value.length < fieldTemplate.minItems) {
+            reasons.push({
+              content: i18n.t('parameters.invoke.collectionTooFewItems', {
+                ...baseTKeyOptions,
+                size: field.value.length,
+                minItems: fieldTemplate.minItems,
+              }),
+            });
+            return;
+          }
+          if (fieldTemplate.maxItems !== undefined && field.value.length > fieldTemplate.maxItems) {
+            reasons.push({
+              content: i18n.t('parameters.invoke.collectionTooManyItems', {
+                ...baseTKeyOptions,
+                size: field.value.length,
+                maxItems: fieldTemplate.maxItems,
+              }),
+            });
+            return;
+          }
+        }
+      });
+    });
+  }
+
+  return reasons;
+};
+
+const getReasonsWhyCannotEnqueueUpscaleTab = (arg: {
+  isConnected: boolean;
+  upscale: UpscaleState;
+  config: AppConfig;
+  params: ParamsState;
+}) => {
+  const { isConnected, upscale, config, params } = arg;
+  const reasons: Reason[] = [];
+
+  if (!isConnected) {
+    reasons.push(disconnectedReason(i18n.t));
+  }
+
+  if (!upscale.upscaleInitialImage) {
+    reasons.push({ content: i18n.t('upscaling.missingUpscaleInitialImage') });
+  } else if (config.maxUpscaleDimension) {
+    const { width, height } = upscale.upscaleInitialImage;
+    const { scale } = upscale;
+
+    const maxPixels = config.maxUpscaleDimension ** 2;
+    const upscaledPixels = width * scale * height * scale;
+
+    if (upscaledPixels > maxPixels) {
+      reasons.push({ content: i18n.t('upscaling.exceedsMaxSize') });
+    }
+  }
+  const model = params.model;
+  if (model && !['sd-1', 'sdxl'].includes(model.base)) {
+    // When we are using an upsupported model, do not add the other warnings
+    reasons.push({ content: i18n.t('upscaling.incompatibleBaseModel') });
+  } else {
+    // Using a compatible model, add all warnings
+    if (!model) {
+      reasons.push({ content: i18n.t('parameters.invoke.noModelSelected') });
+    }
+    if (!upscale.upscaleModel) {
+      reasons.push({ content: i18n.t('upscaling.missingUpscaleModel') });
+    }
+    if (!upscale.tileControlnetModel) {
+      reasons.push({ content: i18n.t('upscaling.missingTileControlNetModel') });
+    }
+  }
+
+  return reasons;
+};
+
+const getReasonsWhyCannotEnqueueCanvasTab = (arg: {
+  isConnected: boolean;
+  canvas: CanvasState;
+  params: ParamsState;
+  dynamicPrompts: DynamicPromptsState;
+  canvasIsFiltering: boolean;
+  canvasIsTransforming: boolean;
+  canvasIsRasterizing: boolean;
+  canvasIsCompositing: boolean;
+  canvasIsSelectingObject: boolean;
+}) => {
+  const {
+    isConnected,
+    canvas,
+    params,
+    dynamicPrompts,
+    canvasIsFiltering,
+    canvasIsTransforming,
+    canvasIsRasterizing,
+    canvasIsCompositing,
+    canvasIsSelectingObject,
+  } = arg;
+  const { model, positivePrompt } = params;
+  const reasons: Reason[] = [];
+
+  if (!isConnected) {
+    reasons.push(disconnectedReason(i18n.t));
+  }
+
+  if (canvasIsFiltering) {
+    reasons.push({ content: i18n.t('parameters.invoke.canvasIsFiltering') });
+  }
+  if (canvasIsTransforming) {
+    reasons.push({ content: i18n.t('parameters.invoke.canvasIsTransforming') });
+  }
+  if (canvasIsRasterizing) {
+    reasons.push({ content: i18n.t('parameters.invoke.canvasIsRasterizing') });
+  }
+  if (canvasIsCompositing) {
+    reasons.push({ content: i18n.t('parameters.invoke.canvasIsCompositing') });
+  }
+  if (canvasIsSelectingObject) {
+    reasons.push({ content: i18n.t('parameters.invoke.canvasIsSelectingObject') });
+  }
+
+  if (dynamicPrompts.prompts.length === 0 && getShouldProcessPrompt(positivePrompt)) {
+    reasons.push({ content: i18n.t('parameters.invoke.noPrompts') });
+  }
+
+  if (!model) {
+    reasons.push({ content: i18n.t('parameters.invoke.noModelSelected') });
+  }
+
+  if (model?.base === 'flux') {
+    const { bbox } = canvas;
+
+    if (!params.t5EncoderModel) {
+      reasons.push({ content: i18n.t('parameters.invoke.noT5EncoderModelSelected') });
+    }
+    if (!params.clipEmbedModel) {
+      reasons.push({ content: i18n.t('parameters.invoke.noCLIPEmbedModelSelected') });
+    }
+    if (!params.fluxVAE) {
+      reasons.push({ content: i18n.t('parameters.invoke.noFLUXVAEModelSelected') });
+    }
+    if (bbox.scaleMethod === 'none') {
+      if (bbox.rect.width % 16 !== 0) {
+        reasons.push({
+          content: i18n.t('parameters.invoke.fluxModelIncompatibleBboxWidth', { width: bbox.rect.width }),
+        });
+      }
+      if (bbox.rect.height % 16 !== 0) {
+        reasons.push({
+          content: i18n.t('parameters.invoke.fluxModelIncompatibleBboxHeight', { height: bbox.rect.height }),
+        });
+      }
+    } else {
+      if (bbox.scaledSize.width % 16 !== 0) {
+        reasons.push({
+          content: i18n.t('parameters.invoke.fluxModelIncompatibleScaledBboxWidth', {
+            width: bbox.scaledSize.width,
+          }),
+        });
+      }
+      if (bbox.scaledSize.height % 16 !== 0) {
+        reasons.push({
+          content: i18n.t('parameters.invoke.fluxModelIncompatibleScaledBboxHeight', {
+            height: bbox.scaledSize.height,
+          }),
+        });
+      }
+    }
+  }
+
+  canvas.controlLayers.entities
+    .filter((controlLayer) => controlLayer.isEnabled)
+    .forEach((controlLayer, i) => {
+      const layerLiteral = i18n.t('controlLayers.layer_one');
+      const layerNumber = i + 1;
+      const layerType = i18n.t(LAYER_TYPE_TO_TKEY['control_layer']);
+      const prefix = `${layerLiteral} #${layerNumber} (${layerType})`;
+      const problems: string[] = [];
+      // Must have model
+      if (!controlLayer.controlAdapter.model) {
+        problems.push(i18n.t('parameters.invoke.layer.controlAdapterNoModelSelected'));
+      }
+      // Model base must match
+      if (controlLayer.controlAdapter.model?.base !== model?.base) {
+        problems.push(i18n.t('parameters.invoke.layer.controlAdapterIncompatibleBaseModel'));
+      }
+      if (problems.length) {
+        const content = upperFirst(problems.join(', '));
+        reasons.push({ prefix, content });
+      }
+    });
+
+  canvas.referenceImages.entities
+    .filter((entity) => entity.isEnabled)
+    .forEach((entity, i) => {
+      const layerLiteral = i18n.t('controlLayers.layer_one');
+      const layerNumber = i + 1;
+      const layerType = i18n.t(LAYER_TYPE_TO_TKEY[entity.type]);
+      const prefix = `${layerLiteral} #${layerNumber} (${layerType})`;
+      const problems: string[] = [];
+
+      // Must have model
+      if (!entity.ipAdapter.model) {
+        problems.push(i18n.t('parameters.invoke.layer.ipAdapterNoModelSelected'));
+      }
+      // Model base must match
+      if (entity.ipAdapter.model?.base !== model?.base) {
+        problems.push(i18n.t('parameters.invoke.layer.ipAdapterIncompatibleBaseModel'));
+      }
+      // Must have an image
+      if (!entity.ipAdapter.image) {
+        problems.push(i18n.t('parameters.invoke.layer.ipAdapterNoImageSelected'));
+      }
+
+      if (problems.length) {
+        const content = upperFirst(problems.join(', '));
+        reasons.push({ prefix, content });
+      }
+    });
+
+  canvas.regionalGuidance.entities
+    .filter((entity) => entity.isEnabled)
+    .forEach((entity, i) => {
+      const layerLiteral = i18n.t('controlLayers.layer_one');
+      const layerNumber = i + 1;
+      const layerType = i18n.t(LAYER_TYPE_TO_TKEY[entity.type]);
+      const prefix = `${layerLiteral} #${layerNumber} (${layerType})`;
+      const problems: string[] = [];
+      // Must have a region
+      if (entity.objects.length === 0) {
+        problems.push(i18n.t('parameters.invoke.layer.rgNoRegion'));
+      }
+      // Must have at least 1 prompt or IP Adapter
+      if (entity.positivePrompt === null && entity.negativePrompt === null && entity.referenceImages.length === 0) {
+        problems.push(i18n.t('parameters.invoke.layer.rgNoPromptsOrIPAdapters'));
+      }
+      entity.referenceImages.forEach(({ ipAdapter }) => {
+        // Must have model
+        if (!ipAdapter.model) {
+          problems.push(i18n.t('parameters.invoke.layer.ipAdapterNoModelSelected'));
+        }
+        // Model base must match
+        if (ipAdapter.model?.base !== model?.base) {
+          problems.push(i18n.t('parameters.invoke.layer.ipAdapterIncompatibleBaseModel'));
+        }
+        // Must have an image
+        if (!ipAdapter.image) {
+          problems.push(i18n.t('parameters.invoke.layer.ipAdapterNoImageSelected'));
+        }
+      });
+
+      if (problems.length) {
+        const content = upperFirst(problems.join(', '));
+        reasons.push({ prefix, content });
+      }
+    });
+
+  canvas.rasterLayers.entities
+    .filter((entity) => entity.isEnabled)
+    .forEach((entity, i) => {
+      const layerLiteral = i18n.t('controlLayers.layer_one');
+      const layerNumber = i + 1;
+      const layerType = i18n.t(LAYER_TYPE_TO_TKEY[entity.type]);
+      const prefix = `${layerLiteral} #${layerNumber} (${layerType})`;
+      const problems: string[] = [];
+
+      if (problems.length) {
+        const content = upperFirst(problems.join(', '));
+        reasons.push({ prefix, content });
+      }
+    });
+
+  return reasons;
+};
+
+export const buildSelectReasonsWhyCannotEnqueueCanvasTab = (arg: {
+  isConnected: boolean;
+  canvasIsFiltering: boolean;
+  canvasIsTransforming: boolean;
+  canvasIsRasterizing: boolean;
+  canvasIsCompositing: boolean;
+  canvasIsSelectingObject: boolean;
+}) => {
+  const {
+    isConnected,
+    canvasIsFiltering,
+    canvasIsTransforming,
+    canvasIsRasterizing,
+    canvasIsCompositing,
+    canvasIsSelectingObject,
+  } = arg;
+
+  return createSelector(
+    selectCanvasSlice,
+    selectParamsSlice,
+    selectDynamicPromptsSlice,
+    (canvas, params, dynamicPrompts) =>
+      getReasonsWhyCannotEnqueueCanvasTab({
+        isConnected,
+        canvas,
+        params,
+        dynamicPrompts,
+        canvasIsFiltering,
+        canvasIsTransforming,
+        canvasIsRasterizing,
+        canvasIsCompositing,
+        canvasIsSelectingObject,
+      })
+  );
+};
+
+export const buildSelectIsReadyToEnqueueCanvasTab = (arg: {
+  isConnected: boolean;
+  canvasIsFiltering: boolean;
+  canvasIsTransforming: boolean;
+  canvasIsRasterizing: boolean;
+  canvasIsCompositing: boolean;
+  canvasIsSelectingObject: boolean;
+}) => {
+  const {
+    isConnected,
+    canvasIsFiltering,
+    canvasIsTransforming,
+    canvasIsRasterizing,
+    canvasIsCompositing,
+    canvasIsSelectingObject,
+  } = arg;
+
+  return createSelector(
+    selectCanvasSlice,
+    selectParamsSlice,
+    selectDynamicPromptsSlice,
+    (canvas, params, dynamicPrompts) =>
+      getReasonsWhyCannotEnqueueCanvasTab({
+        isConnected,
+        canvas,
+        params,
+        dynamicPrompts,
+        canvasIsFiltering,
+        canvasIsTransforming,
+        canvasIsRasterizing,
+        canvasIsCompositing,
+        canvasIsSelectingObject,
+      }).length === 0
+  );
+};
+
+export const buildSelectReasonsWhyCannotEnqueueUpscaleTab = (arg: { isConnected: boolean }) => {
+  const { isConnected } = arg;
+  return createSelector(selectUpscaleSlice, selectConfigSlice, selectParamsSlice, (upscale, config, params) =>
+    getReasonsWhyCannotEnqueueUpscaleTab({ isConnected, upscale, config, params })
+  );
+};
+
+export const buildSelectIsReadyToEnqueueUpscaleTab = (arg: { isConnected: boolean }) => {
+  const { isConnected } = arg;
+
+  return createSelector(
+    selectUpscaleSlice,
+    selectConfigSlice,
+    selectParamsSlice,
+    (upscale, config, params) =>
+      getReasonsWhyCannotEnqueueUpscaleTab({ isConnected, upscale, config, params }).length === 0
+  );
+};
+
+export const buildSelectReasonsWhyCannotEnqueueWorkflowsTab = (arg: { isConnected: boolean; templates: Templates }) => {
+  const { isConnected, templates } = arg;
+
+  return createSelector(selectNodesSlice, selectWorkflowSettingsSlice, (nodes, workflowSettings) =>
+    getReasonsWhyCannotEnqueueWorkflowsTab({
+      isConnected,
+      nodes,
+      workflowSettings,
+      templates,
+    })
+  );
+};
+
+export const buildSelectIsReadyToEnqueueWorkflowsTab = (arg: { isConnected: boolean; templates: Templates }) => {
+  const { isConnected, templates } = arg;
+
+  return createSelector(
+    selectNodesSlice,
+    selectWorkflowSettingsSlice,
+    (nodes, workflowSettings) =>
+      getReasonsWhyCannotEnqueueWorkflowsTab({
+        isConnected,
+        nodes,
+        workflowSettings,
+        templates,
+      }).length === 0
+  );
+};
+
+export const selectPromptsCount = createSelector(
+  selectParamsSlice,
+  selectDynamicPromptsSlice,
+  (params, dynamicPrompts) => (getShouldProcessPrompt(params.positivePrompt) ? dynamicPrompts.prompts.length : 1)
+);
+
+export const selectWorkflowsBatchSize = createSelector(selectNodesSlice, ({ nodes }) =>
+  // The batch size is the product of all batch nodes' collection sizes
+  nodes.filter(isInvocationNode).reduce((batchSize, node) => {
+    if (!isImageFieldCollectionInputInstance(node.data.inputs.images)) {
+      return batchSize;
+    }
+    // If the batch size is not set, default to 1
+    batchSize = batchSize || 1;
+    // Multiply the batch size by the number of images in the batch
+    batchSize = batchSize * (node.data.inputs.images.value?.length ?? 0);
+
+    return batchSize;
+  }, 0)
+);