chore: 4.2.9 version bump

Currently translated at 97.6% (1342 of 1374 strings)

Co-authored-by: Phrixus2023 <920414016@qq.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/zh_Hans/
Translation: InvokeAI/Web UI

.github/workflows/build-container.yml

@@ -13,6 +13,12 @@ on:
     tags:
       - 'v*.*.*'
   workflow_dispatch:
+    inputs:
+      push-to-registry:
+        description: Push the built image to the container registry
+        required: false
+        type: boolean
+        default: false
 
 permissions:
   contents: write
@@ -50,16 +56,15 @@ jobs:
           df -h
 
       - name: Checkout
-        uses: actions/checkout@v3
+        uses: actions/checkout@v4
 
       - name: Docker meta
         id: meta
-        uses: docker/metadata-action@v4
+        uses: docker/metadata-action@v5
         with:
           github-token: ${{ secrets.GITHUB_TOKEN }}
           images: |
             ghcr.io/${{ github.repository }}
-            ${{ env.DOCKERHUB_REPOSITORY }}
           tags: |
             type=ref,event=branch
             type=ref,event=tag
@@ -72,49 +77,33 @@ jobs:
             suffix=-${{ matrix.gpu-driver }},onlatest=false
 
       - name: Set up QEMU
-        uses: docker/setup-qemu-action@v2
+        uses: docker/setup-qemu-action@v3
 
       - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v2
+        uses: docker/setup-buildx-action@v3
         with:
           platforms: ${{ env.PLATFORMS }}
 
       - name: Login to GitHub Container Registry
         if: github.event_name != 'pull_request'
-        uses: docker/login-action@v2
+        uses: docker/login-action@v3
         with:
           registry: ghcr.io
           username: ${{ github.repository_owner }}
           password: ${{ secrets.GITHUB_TOKEN }}
 
-      # - name: Login to Docker Hub
-      #   if: github.event_name != 'pull_request' && vars.DOCKERHUB_REPOSITORY != ''
-      #   uses: docker/login-action@v2
-      #   with:
-      #     username: ${{ secrets.DOCKERHUB_USERNAME }}
-      #     password: ${{ secrets.DOCKERHUB_TOKEN }}
-
       - name: Build container
         timeout-minutes: 40
         id: docker_build
-        uses: docker/build-push-action@v4
+        uses: docker/build-push-action@v6
         with:
           context: .
           file: docker/Dockerfile
           platforms: ${{ env.PLATFORMS }}
-          push: ${{ github.ref == 'refs/heads/main' || github.ref_type == 'tag' }}
+          push: ${{ github.ref == 'refs/heads/main' || github.ref_type == 'tag' || github.event.inputs.push-to-registry }}
           tags: ${{ steps.meta.outputs.tags }}
           labels: ${{ steps.meta.outputs.labels }}
           cache-from: |
             type=gha,scope=${{ github.ref_name }}-${{ matrix.gpu-driver }}
             type=gha,scope=main-${{ matrix.gpu-driver }}
           cache-to: type=gha,mode=max,scope=${{ github.ref_name }}-${{ matrix.gpu-driver }}
-
-      # - name: Docker Hub Description
-      #   if: github.ref == 'refs/heads/main' || github.ref == 'refs/tags/*' && vars.DOCKERHUB_REPOSITORY != ''
-      #   uses: peter-evans/dockerhub-description@v3
-      #   with:
-      #     username: ${{ secrets.DOCKERHUB_USERNAME }}
-      #     password: ${{ secrets.DOCKERHUB_TOKEN }}
-      #     repository: ${{ vars.DOCKERHUB_REPOSITORY }}
-      #     short-description: ${{ github.event.repository.description }}

invokeai/app/invocations/flux_denoise.py

@@ -17,7 +17,6 @@ from invokeai.app.invocations.fields import (
 )
 from invokeai.app.invocations.model import TransformerField
 from invokeai.app.invocations.primitives import LatentsOutput
-from invokeai.app.services.session_processor.session_processor_common import CanceledException
 from invokeai.app.services.shared.invocation_context import InvocationContext
 from invokeai.backend.flux.denoise import denoise
 from invokeai.backend.flux.inpaint_extension import InpaintExtension
@@ -30,6 +29,7 @@ from invokeai.backend.flux.sampling_utils import (
     pack,
     unpack,
 )
+from invokeai.backend.stable_diffusion.diffusers_pipeline import PipelineIntermediateState
 from invokeai.backend.stable_diffusion.diffusion.conditioning_data import FLUXConditioningInfo
 from invokeai.backend.util.devices import TorchDevice
 
@@ -241,34 +241,9 @@ class FluxDenoiseInvocation(BaseInvocation, WithMetadata, WithBoard):
         # `latents`.
         return mask.expand_as(latents)
 
-    def _build_step_callback(self, context: InvocationContext) -> Callable[[], None]:
-        def step_callback() -> None:
-            if context.util.is_canceled():
-                raise CanceledException
-
-            # TODO: Make this look like the image before re-enabling
-            # latent_image = unpack(img.float(), self.height, self.width)
-            # latent_image = latent_image.squeeze()  # Remove unnecessary dimensions
-            # flattened_tensor = latent_image.reshape(-1)  # Flatten to shape [48*128*128]
-
-            # # Create a new tensor of the required shape [255, 255, 3]
-            # latent_image = flattened_tensor[: 255 * 255 * 3].reshape(255, 255, 3)  # Reshape to RGB format
-
-            # # Convert to a NumPy array and then to a PIL Image
-            # image = Image.fromarray(latent_image.cpu().numpy().astype(np.uint8))
-
-            # (width, height) = image.size
-            # width *= 8
-            # height *= 8
-
-            # dataURL = image_to_dataURL(image, image_format="JPEG")
-
-            # # TODO: move this whole function to invocation context to properly reference these variables
-            # context._services.events.emit_invocation_denoise_progress(
-            #     context._data.queue_item,
-            #     context._data.invocation,
-            #     state,
-            #     ProgressImage(dataURL=dataURL, width=width, height=height),
-            # )
+    def _build_step_callback(self, context: InvocationContext) -> Callable[[PipelineIntermediateState], None]:
+        def step_callback(state: PipelineIntermediateState) -> None:
+            state.latents = unpack(state.latents.float(), self.height, self.width).squeeze()
+            context.util.flux_step_callback(state)
 
         return step_callback

invokeai/app/services/shared/invocation_context.py

@@ -14,7 +14,7 @@ from invokeai.app.services.image_records.image_records_common import ImageCatego
 from invokeai.app.services.images.images_common import ImageDTO
 from invokeai.app.services.invocation_services import InvocationServices
 from invokeai.app.services.model_records.model_records_base import UnknownModelException
-from invokeai.app.util.step_callback import stable_diffusion_step_callback
+from invokeai.app.util.step_callback import flux_step_callback, stable_diffusion_step_callback
 from invokeai.backend.model_manager.config import (
     AnyModel,
     AnyModelConfig,
@@ -557,6 +557,24 @@ class UtilInterface(InvocationContextInterface):
             is_canceled=self.is_canceled,
         )
 
+    def flux_step_callback(self, intermediate_state: PipelineIntermediateState) -> None:
+        """
+        The step callback emits a progress event with the current step, the total number of
+        steps, a preview image, and some other internal metadata.
+
+        This should be called after each denoising step.
+
+        Args:
+            intermediate_state: The intermediate state of the diffusion pipeline.
+        """
+
+        flux_step_callback(
+            context_data=self._data,
+            intermediate_state=intermediate_state,
+            events=self._services.events,
+            is_canceled=self.is_canceled,
+        )
+
 
 class InvocationContext:
     """Provides access to various services and data for the current invocation.

invokeai/app/util/step_callback.py

@@ -38,6 +38,25 @@ SD1_5_LATENT_RGB_FACTORS = [
     [-0.1307, -0.1874, -0.7445],  # L4
 ]
 
+FLUX_LATENT_RGB_FACTORS = [
+    [-0.0412, 0.0149, 0.0521],
+    [0.0056, 0.0291, 0.0768],
+    [0.0342, -0.0681, -0.0427],
+    [-0.0258, 0.0092, 0.0463],
+    [0.0863, 0.0784, 0.0547],
+    [-0.0017, 0.0402, 0.0158],
+    [0.0501, 0.1058, 0.1152],
+    [-0.0209, -0.0218, -0.0329],
+    [-0.0314, 0.0083, 0.0896],
+    [0.0851, 0.0665, -0.0472],
+    [-0.0534, 0.0238, -0.0024],
+    [0.0452, -0.0026, 0.0048],
+    [0.0892, 0.0831, 0.0881],
+    [-0.1117, -0.0304, -0.0789],
+    [0.0027, -0.0479, -0.0043],
+    [-0.1146, -0.0827, -0.0598],
+]
+
 
 def sample_to_lowres_estimated_image(
     samples: torch.Tensor, latent_rgb_factors: torch.Tensor, smooth_matrix: Optional[torch.Tensor] = None
@@ -94,3 +113,32 @@ def stable_diffusion_step_callback(
         intermediate_state,
         ProgressImage(dataURL=dataURL, width=width, height=height),
     )
+
+
+def flux_step_callback(
+    context_data: "InvocationContextData",
+    intermediate_state: PipelineIntermediateState,
+    events: "EventServiceBase",
+    is_canceled: Callable[[], bool],
+) -> None:
+    if is_canceled():
+        raise CanceledException
+    sample = intermediate_state.latents
+    latent_rgb_factors = torch.tensor(FLUX_LATENT_RGB_FACTORS, dtype=sample.dtype, device=sample.device)
+    latent_image_perm = sample.permute(1, 2, 0).to(dtype=sample.dtype, device=sample.device)
+    latent_image = latent_image_perm @ latent_rgb_factors
+    latents_ubyte = (
+        ((latent_image + 1) / 2).clamp(0, 1).mul(0xFF)  # change scale from -1..1 to 0..1  # to 0..255
+    ).to(device="cpu", dtype=torch.uint8)
+    image = Image.fromarray(latents_ubyte.cpu().numpy())
+    (width, height) = image.size
+    width *= 8
+    height *= 8
+    dataURL = image_to_dataURL(image, image_format="JPEG")
+
+    events.emit_invocation_denoise_progress(
+        context_data.queue_item,
+        context_data.invocation,
+        intermediate_state,
+        ProgressImage(dataURL=dataURL, width=width, height=height),
+    )

invokeai/backend/flux/denoise.py

@@ -5,6 +5,7 @@ from tqdm import tqdm
 
 from invokeai.backend.flux.inpaint_extension import InpaintExtension
 from invokeai.backend.flux.model import Flux
+from invokeai.backend.stable_diffusion.diffusers_pipeline import PipelineIntermediateState
 
 
 def denoise(
@@ -17,10 +18,11 @@ def denoise(
     vec: torch.Tensor,
     # sampling parameters
     timesteps: list[float],
-    step_callback: Callable[[], None],
+    step_callback: Callable[[PipelineIntermediateState], None],
     guidance: float,
     inpaint_extension: InpaintExtension | None,
 ):
+    step = 0
     # guidance_vec is ignored for schnell.
     guidance_vec = torch.full((img.shape[0],), guidance, device=img.device, dtype=img.dtype)
     for t_curr, t_prev in tqdm(list(zip(timesteps[:-1], timesteps[1:], strict=True))):
@@ -34,12 +36,21 @@ def denoise(
             timesteps=t_vec,
             guidance=guidance_vec,
         )
-
+        preview_img = img - t_curr * pred
         img = img + (t_prev - t_curr) * pred
 
         if inpaint_extension is not None:
             img = inpaint_extension.merge_intermediate_latents_with_init_latents(img, t_prev)
 
-        step_callback()
+        step_callback(
+            PipelineIntermediateState(
+                step=step,
+                order=1,
+                total_steps=len(timesteps),
+                timestep=int(t_curr),
+                latents=preview_img,
+            ),
+        )
+        step += 1
 
     return img

invokeai/backend/model_manager/load/model_loaders/flux.py

@@ -32,6 +32,9 @@ from invokeai.backend.model_manager.config import (
 )
 from invokeai.backend.model_manager.load.load_default import ModelLoader
 from invokeai.backend.model_manager.load.model_loader_registry import ModelLoaderRegistry
+from invokeai.backend.model_manager.util.model_util import (
+    convert_bundle_to_flux_transformer_checkpoint,
+)
 from invokeai.backend.util.silence_warnings import SilenceWarnings
 
 try:
@@ -190,6 +193,13 @@ class FluxCheckpointModel(ModelLoader):
         with SilenceWarnings():
             model = Flux(params[config.config_path])
             sd = load_file(model_path)
+            if "model.diffusion_model.double_blocks.0.img_attn.norm.key_norm.scale" in sd:
+                sd = convert_bundle_to_flux_transformer_checkpoint(sd)
+            new_sd_size = sum([ten.nelement() * torch.bfloat16.itemsize for ten in sd.values()])
+            self._ram_cache.make_room(new_sd_size)
+            for k in sd.keys():
+                # We need to cast to bfloat16 due to it being the only currently supported dtype for inference
+                sd[k] = sd[k].to(torch.bfloat16)
             model.load_state_dict(sd, assign=True)
         return model
 
@@ -230,5 +240,7 @@ class FluxBnbQuantizednf4bCheckpointModel(ModelLoader):
                 model = Flux(params[config.config_path])
                 model = quantize_model_nf4(model, modules_to_not_convert=set(), compute_dtype=torch.bfloat16)
             sd = load_file(model_path)
+            if "model.diffusion_model.double_blocks.0.img_attn.norm.key_norm.scale" in sd:
+                sd = convert_bundle_to_flux_transformer_checkpoint(sd)
             model.load_state_dict(sd, assign=True)
         return model

invokeai/backend/model_manager/probe.py

@@ -108,6 +108,8 @@ class ModelProbe(object):
         "CLIPVisionModelWithProjection": ModelType.CLIPVision,
         "T2IAdapter": ModelType.T2IAdapter,
         "CLIPModel": ModelType.CLIPEmbed,
+        "CLIPTextModel": ModelType.CLIPEmbed,
+        "T5EncoderModel": ModelType.T5Encoder,
     }
 
     @classmethod
@@ -224,7 +226,18 @@ class ModelProbe(object):
         ckpt = ckpt.get("state_dict", ckpt)
 
         for key in [str(k) for k in ckpt.keys()]:
-            if key.startswith(("cond_stage_model.", "first_stage_model.", "model.diffusion_model.", "double_blocks.")):
+            if key.startswith(
+                (
+                    "cond_stage_model.",
+                    "first_stage_model.",
+                    "model.diffusion_model.",
+                    # FLUX models in the official BFL format contain keys with the "double_blocks." prefix.
+                    "double_blocks.",
+                    # Some FLUX checkpoint files contain transformer keys prefixed with "model.diffusion_model".
+                    # This prefix is typically used to distinguish between multiple models bundled in a single file.
+                    "model.diffusion_model.double_blocks.",
+                )
+            ):
                 # Keys starting with double_blocks are associated with Flux models
                 return ModelType.Main
             elif key.startswith(("encoder.conv_in", "decoder.conv_in")):
@@ -283,9 +296,16 @@ class ModelProbe(object):
         if (folder_path / "image_encoder.txt").exists():
             return ModelType.IPAdapter
 
-        i = folder_path / "model_index.json"
-        c = folder_path / "config.json"
-        config_path = i if i.exists() else c if c.exists() else None
+        config_path = None
+        for p in [
+            folder_path / "model_index.json",  # pipeline
+            folder_path / "config.json",  # most diffusers
+            folder_path / "text_encoder_2" / "config.json",  # T5 text encoder
+            folder_path / "text_encoder" / "config.json",  # T5 CLIP
+        ]:
+            if p.exists():
+                config_path = p
+                break
 
         if config_path:
             with open(config_path, "r") as file:
@@ -328,7 +348,10 @@ class ModelProbe(object):
                 # TODO: Decide between dev/schnell
                 checkpoint = ModelProbe._scan_and_load_checkpoint(model_path)
                 state_dict = checkpoint.get("state_dict") or checkpoint
-                if "guidance_in.out_layer.weight" in state_dict:
+                if (
+                    "guidance_in.out_layer.weight" in state_dict
+                    or "model.diffusion_model.guidance_in.out_layer.weight" in state_dict
+                ):
                     # For flux, this is a key in invokeai.backend.flux.util.params
                     #   Due to model type and format being the descriminator for model configs this
                     #   is used rather than attempting to support flux with separate model types and format
@@ -336,7 +359,7 @@ class ModelProbe(object):
                     config_file = "flux-dev"
                 else:
                     # For flux, this is a key in invokeai.backend.flux.util.params
-                    #   Due to model type and format being the descriminator for model configs this
+                    #   Due to model type and format being the discriminator for model configs this
                     #   is used rather than attempting to support flux with separate model types and format
                     #   If changed in the future, please fix me
                     config_file = "flux-schnell"
@@ -443,7 +466,10 @@ class CheckpointProbeBase(ProbeBase):
 
     def get_format(self) -> ModelFormat:
         state_dict = self.checkpoint.get("state_dict") or self.checkpoint
-        if "double_blocks.0.img_attn.proj.weight.quant_state.bitsandbytes__nf4" in state_dict:
+        if (
+            "double_blocks.0.img_attn.proj.weight.quant_state.bitsandbytes__nf4" in state_dict
+            or "model.diffusion_model.double_blocks.0.img_attn.proj.weight.quant_state.bitsandbytes__nf4" in state_dict
+        ):
             return ModelFormat.BnbQuantizednf4b
         return ModelFormat("checkpoint")
 
@@ -470,7 +496,10 @@ class PipelineCheckpointProbe(CheckpointProbeBase):
     def get_base_type(self) -> BaseModelType:
         checkpoint = self.checkpoint
         state_dict = self.checkpoint.get("state_dict") or checkpoint
-        if "double_blocks.0.img_attn.norm.key_norm.scale" in state_dict:
+        if (
+            "double_blocks.0.img_attn.norm.key_norm.scale" in state_dict
+            or "model.diffusion_model.double_blocks.0.img_attn.norm.key_norm.scale" in state_dict
+        ):
             return BaseModelType.Flux
         key_name = "model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_k.weight"
         if key_name in state_dict and state_dict[key_name].shape[-1] == 768:
@@ -747,8 +776,27 @@ class TextualInversionFolderProbe(FolderProbeBase):
 
 
 class T5EncoderFolderProbe(FolderProbeBase):
+    def get_base_type(self) -> BaseModelType:
+        return BaseModelType.Any
+
     def get_format(self) -> ModelFormat:
-        return ModelFormat.T5Encoder
+        path = self.model_path / "text_encoder_2"
+        if (path / "model.safetensors.index.json").exists():
+            return ModelFormat.T5Encoder
+        files = list(path.glob("*.safetensors"))
+        if len(files) == 0:
+            raise InvalidModelConfigException(f"{self.model_path.as_posix()}: no .safetensors files found")
+
+        # shortcut: look for the quantization in the name
+        if any(x for x in files if "llm_int8" in x.as_posix()):
+            return ModelFormat.BnbQuantizedLlmInt8b
+
+        # more reliable path: probe contents for a 'SCB' key
+        ckpt = read_checkpoint_meta(files[0], scan=True)
+        if any("SCB" in x for x in ckpt.keys()):
+            return ModelFormat.BnbQuantizedLlmInt8b
+
+        raise InvalidModelConfigException(f"{self.model_path.as_posix()}: unknown model format")
 
 
 class ONNXFolderProbe(PipelineFolderProbe):

invokeai/backend/model_manager/util/model_util.py

@@ -133,3 +133,29 @@ def lora_token_vector_length(checkpoint: Dict[str, torch.Tensor]) -> Optional[in
             break
 
     return lora_token_vector_length
+
+
+def convert_bundle_to_flux_transformer_checkpoint(
+    transformer_state_dict: dict[str, torch.Tensor],
+) -> dict[str, torch.Tensor]:
+    original_state_dict: dict[str, torch.Tensor] = {}
+    keys_to_remove: list[str] = []
+
+    for k, v in transformer_state_dict.items():
+        if not k.startswith("model.diffusion_model"):
+            keys_to_remove.append(k)  # This can be removed in the future if we only want to delete transformer keys
+            continue
+        if k.endswith("scale"):
+            # Scale math must be done at bfloat16 due to our current flux model
+            # support limitations at inference time
+            v = v.to(dtype=torch.bfloat16)
+        new_key = k.replace("model.diffusion_model.", "")
+        original_state_dict[new_key] = v
+        keys_to_remove.append(k)
+
+    # Remove processed keys from the original dictionary, leaving others in case
+    # other model state dicts need to be pulled
+    for k in keys_to_remove:
+        del transformer_state_dict[k]
+
+    return original_state_dict

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

@@ -127,7 +127,14 @@
         "bulkDownloadRequestedDesc": "Dein Download wird vorbereitet. Dies kann ein paar Momente dauern.",
         "bulkDownloadRequestFailed": "Problem beim Download vorbereiten",
         "bulkDownloadFailed": "Download fehlgeschlagen",
-        "alwaysShowImageSizeBadge": "Zeige immer Bilder Größe Abzeichen"
+        "alwaysShowImageSizeBadge": "Zeige immer Bilder Größe Abzeichen",
+        "selectForCompare": "Zum Vergleichen auswählen",
+        "compareImage": "Bilder vergleichen",
+        "exitSearch": "Suche beenden",
+        "newestFirst": "Neueste zuerst",
+        "oldestFirst": "Älteste zuerst",
+        "openInViewer": "Im Viewer öffnen",
+        "swapImages": "Bilder tauschen"
     },
     "hotkeys": {
         "keyboardShortcuts": "Tastenkürzel",
@@ -631,7 +638,8 @@
         "archived": "Archiviert",
         "noBoards": "Kein {boardType}} Ordner",
         "hideBoards": "Ordner verstecken",
-        "viewBoards": "Ordner ansehen"
+        "viewBoards": "Ordner ansehen",
+        "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."
     },
     "controlnet": {
         "showAdvanced": "Zeige Erweitert",
@@ -781,7 +789,9 @@
         "batchFieldValues": "Stapelverarbeitungswerte",
         "batchQueued": "Stapelverarbeitung eingereiht",
         "graphQueued": "Graph eingereiht",
-        "graphFailedToQueue": "Fehler beim Einreihen des Graphen"
+        "graphFailedToQueue": "Fehler beim Einreihen des Graphen",
+        "generations_one": "Generation",
+        "generations_other": "Generationen"
     },
     "metadata": {
         "negativePrompt": "Negativ Beschreibung",
@@ -1146,5 +1156,10 @@
         "noMatchingTriggers": "Keine passenden Trigger",
         "addPromptTrigger": "Prompt-Trigger hinzufügen",
         "compatibleEmbeddings": "Kompatible Einbettungen"
+    },
+    "ui": {
+        "tabs": {
+            "queue": "Warteschlange"
+        }
     }
 }

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

@@ -86,15 +86,15 @@
         "loadMore": "Cargar más",
         "noImagesInGallery": "No hay imágenes para mostrar",
         "deleteImage_one": "Eliminar Imagen",
-        "deleteImage_many": "",
-        "deleteImage_other": "",
+        "deleteImage_many": "Eliminar {{count}} Imágenes",
+        "deleteImage_other": "Eliminar {{count}} Imágenes",
         "deleteImagePermanent": "Las imágenes eliminadas no se pueden restaurar.",
         "assets": "Activos",
         "autoAssignBoardOnClick": "Asignación automática de tableros al hacer clic"
     },
     "hotkeys": {
         "keyboardShortcuts": "Atajos de teclado",
-        "appHotkeys": "Atajos de applicación",
+        "appHotkeys": "Atajos de aplicación",
         "generalHotkeys": "Atajos generales",
         "galleryHotkeys": "Atajos de galería",
         "unifiedCanvasHotkeys": "Atajos de lienzo unificado",
@@ -535,7 +535,7 @@
         "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",
+        "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…",
@@ -549,7 +549,13 @@
         "imagesWithCount_other": "{{count}} imágenes",
         "assetsWithCount_one": "{{count}} activo",
         "assetsWithCount_many": "{{count}} activos",
-        "assetsWithCount_other": "{{count}} activos"
+        "assetsWithCount_other": "{{count}} activos",
+        "hideBoards": "Ocultar Paneles",
+        "addPrivateBoard": "Agregar un tablero privado",
+        "addSharedBoard": "Agregar Panel Compartido",
+        "boards": "Paneles",
+        "archiveBoard": "Archivar Panel",
+        "archived": "Archivado"
     },
     "accordions": {
         "compositing": {

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

@@ -496,7 +496,9 @@
         "main": "Principali",
         "noModelsInstalledDesc1": "Installa i modelli con",
         "ipAdapters": "Adattatori IP",
-        "noMatchingModels": "Nessun modello corrispondente"
+        "noMatchingModels": "Nessun modello corrispondente",
+        "starterModelsInModelManager": "I modelli iniziali possono essere trovati in Gestione Modelli",
+        "spandrelImageToImage": "Immagine a immagine (Spandrel)"
     },
     "parameters": {
         "images": "Immagini",
@@ -510,7 +512,7 @@
         "perlinNoise": "Rumore Perlin",
         "type": "Tipo",
         "strength": "Forza",
-        "upscaling": "Ampliamento",
+        "upscaling": "Amplia",
         "scale": "Scala",
         "imageFit": "Adatta l'immagine iniziale alle dimensioni di output",
         "scaleBeforeProcessing": "Scala prima dell'elaborazione",
@@ -593,7 +595,7 @@
         "globalPositivePromptPlaceholder": "Prompt positivo globale",
         "globalNegativePromptPlaceholder": "Prompt negativo globale",
         "processImage": "Elabora Immagine",
-        "sendToUpscale": "Invia a Ampliare",
+        "sendToUpscale": "Invia a Amplia",
         "postProcessing": "Post-elaborazione (Shift + U)"
     },
     "settings": {
@@ -1420,7 +1422,7 @@
         "paramUpscaleMethod": {
             "heading": "Metodo di ampliamento",
             "paragraphs": [
-                "Metodo utilizzato per eseguire l'ampliamento dell'immagine per la correzione ad alta risoluzione."
+                "Metodo utilizzato per ampliare l'immagine per la correzione ad alta risoluzione."
             ]
         },
         "patchmatchDownScaleSize": {
@@ -1528,7 +1530,7 @@
         },
         "upscaleModel": {
             "paragraphs": [
-                "Il modello di ampliamento (Upscale), scala l'immagine alle dimensioni di uscita prima di aggiungere i dettagli. È possibile utilizzare qualsiasi modello di ampliamento supportato, ma alcuni sono specializzati per diversi tipi di immagini, come foto o disegni al tratto."
+                "Il modello di ampliamento, scala l'immagine alle dimensioni di uscita prima di aggiungere i dettagli. È possibile utilizzare qualsiasi modello di ampliamento supportato, ma alcuni sono specializzati per diversi tipi di immagini, come foto o disegni al tratto."
             ],
             "heading": "Modello di ampliamento"
         },
@@ -1720,26 +1722,27 @@
             "modelsTab": "$t(ui.tabs.models) $t(common.tab)",
             "queue": "Coda",
             "queueTab": "$t(ui.tabs.queue) $t(common.tab)",
-            "upscaling": "Ampliamento",
+            "upscaling": "Amplia",
             "upscalingTab": "$t(ui.tabs.upscaling) $t(common.tab)"
         }
     },
     "upscaling": {
         "creativity": "Creatività",
         "structure": "Struttura",
-        "upscaleModel": "Modello di Ampliamento",
+        "upscaleModel": "Modello di ampliamento",
         "scale": "Scala",
         "missingModelsWarning": "Visita <LinkComponent>Gestione modelli</LinkComponent> per installare i modelli richiesti:",
         "mainModelDesc": "Modello principale (architettura SD1.5 o SDXL)",
         "tileControlNetModelDesc": "Modello Tile ControlNet per l'architettura del modello principale scelto",
-        "upscaleModelDesc": "Modello per l'ampliamento (da immagine a immagine)",
+        "upscaleModelDesc": "Modello per l'ampliamento (immagine a immagine)",
         "missingUpscaleInitialImage": "Immagine iniziale mancante per l'ampliamento",
         "missingUpscaleModel": "Modello per l’ampliamento mancante",
         "missingTileControlNetModel": "Nessun modello ControlNet Tile valido installato",
         "postProcessingModel": "Modello di post-elaborazione",
         "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."
+        "exceedsMaxSizeDetails": "Il limite massimo di ampliamento è {{maxUpscaleDimension}}x{{maxUpscaleDimension}} pixel. Prova un'immagine più piccola o diminuisci la scala selezionata.",
+        "upscale": "Amplia"
     },
     "upsell": {
         "inviteTeammates": "Invita collaboratori",
@@ -1789,6 +1792,7 @@
         "positivePromptColumn": "'prompt' o 'positive_prompt'",
         "noTemplates": "Nessun modello",
         "acceptedColumnsKeys": "Colonne/chiavi accettate:",
-        "templateActions": "Azioni modello"
+        "templateActions": "Azioni modello",
+        "promptTemplateCleared": "Modello di prompt cancellato"
     }
 }

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

@@ -501,7 +501,8 @@
         "noModelsInstalled": "Нет установленных моделей",
         "noModelsInstalledDesc1": "Установите модели с помощью",
         "noMatchingModels": "Нет подходящих моделей",
-        "ipAdapters": "IP адаптеры"
+        "ipAdapters": "IP адаптеры",
+        "starterModelsInModelManager": "Стартовые модели можно найти в Менеджере моделей"
     },
     "parameters": {
         "images": "Изображения",
@@ -1758,7 +1759,8 @@
         "postProcessingModel": "Модель постобработки",
         "tileControlNetModelDesc": "Модель ControlNet для выбранной архитектуры основной модели",
         "missingModelsWarning": "Зайдите в <LinkComponent>Менеджер моделей</LinkComponent> чтоб установить необходимые модели:",
-        "postProcessingMissingModelWarning": "Посетите <LinkComponent>Менеджер моделей</LinkComponent>, чтобы установить модель постобработки (img2img)."
+        "postProcessingMissingModelWarning": "Посетите <LinkComponent>Менеджер моделей</LinkComponent>, чтобы установить модель постобработки (img2img).",
+        "upscale": "Увеличить"
     },
     "stylePresets": {
         "noMatchingTemplates": "Нет подходящих шаблонов",
@@ -1804,7 +1806,8 @@
         "noTemplates": "Нет шаблонов",
         "promptTemplatesDesc2": "Используйте строку-заполнитель <Pre>{{placeholder}}</Pre>, чтобы указать место, куда должен быть включен ваш запрос в шаблоне.",
         "searchByName": "Поиск по имени",
-        "shared": "Общий"
+        "shared": "Общий",
+        "promptTemplateCleared": "Шаблон запроса создан"
     },
     "upsell": {
         "inviteTeammates": "Пригласите членов команды",

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

@@ -154,7 +154,8 @@
         "displaySearch": "显示搜索",
         "stretchToFit": "拉伸以适应",
         "exitCompare": "退出对比",
-        "compareHelp1": "在点击图库中的图片或使用箭头键切换比较图片时，请按住<Kbd>Alt</Kbd> 键。"
+        "compareHelp1": "在点击图库中的图片或使用箭头键切换比较图片时，请按住<Kbd>Alt</Kbd> 键。",
+        "go": "运行"
     },
     "hotkeys": {
         "keyboardShortcuts": "快捷键",
@@ -494,7 +495,9 @@
         "huggingFacePlaceholder": "所有者或模型名称",
         "huggingFaceRepoID": "HuggingFace仓库ID",
         "loraTriggerPhrases": "LoRA 触发词",
-        "ipAdapters": "IP适配器"
+        "ipAdapters": "IP适配器",
+        "spandrelImageToImage": "图生图(Spandrel)",
+        "starterModelsInModelManager": "您可以在模型管理器中找到初始模型"
     },
     "parameters": {
         "images": "图像",
@@ -695,7 +698,9 @@
         "outOfMemoryErrorDesc": "您当前的生成设置已超出系统处理能力.请调整设置后再次尝试.",
         "parametersSet": "参数已恢复",
         "errorCopied": "错误信息已复制",
-        "modelImportCanceled": "模型导入已取消"
+        "modelImportCanceled": "模型导入已取消",
+        "importFailed": "导入失败",
+        "importSuccessful": "导入成功"
     },
     "unifiedCanvas": {
         "layer": "图层",
@@ -1705,12 +1710,55 @@
         "missingModelsWarning": "请访问<LinkComponent>模型管理器</LinkComponent> 安装所需的模型：",
         "mainModelDesc": "主模型（SD1.5或SDXL架构）",
         "exceedsMaxSize": "放大设置超出了最大尺寸限制",
-        "exceedsMaxSizeDetails": "最大放大限制是 {{maxUpscaleDimension}}x{{maxUpscaleDimension}} 像素.请尝试一个较小的图像或减少您的缩放选择."
+        "exceedsMaxSizeDetails": "最大放大限制是 {{maxUpscaleDimension}}x{{maxUpscaleDimension}} 像素.请尝试一个较小的图像或减少您的缩放选择.",
+        "upscale": "放大"
     },
     "upsell": {
         "inviteTeammates": "邀请团队成员",
         "professional": "专业",
         "professionalUpsell": "可在 Invoke 的专业版中使用.点击此处或访问 invoke.com/pricing 了解更多详情.",
         "shareAccess": "共享访问权限"
+    },
+    "stylePresets": {
+        "positivePrompt": "正向提示词",
+        "preview": "预览",
+        "deleteImage": "删除图像",
+        "deleteTemplate": "删除模版",
+        "deleteTemplate2": "您确定要删除这个模板吗？请注意，删除后无法恢复.",
+        "importTemplates": "导入提示模板，支持CSV或JSON格式",
+        "insertPlaceholder": "插入一个占位符",
+        "myTemplates": "我的模版",
+        "name": "名称",
+        "type": "类型",
+        "unableToDeleteTemplate": "无法删除提示模板",
+        "updatePromptTemplate": "更新提示词模版",
+        "exportPromptTemplates": "导出我的提示模板为CSV格式",
+        "exportDownloaded": "导出已下载",
+        "noMatchingTemplates": "无匹配的模版",
+        "promptTemplatesDesc1": "提示模板可以帮助您在编写提示时添加预设的文本内容.",
+        "promptTemplatesDesc3": "如果您没有使用占位符，那么模板的内容将会被添加到您提示的末尾.",
+        "searchByName": "按名称搜索",
+        "shared": "已分享",
+        "sharedTemplates": "已分享的模版",
+        "templateActions": "模版操作",
+        "templateDeleted": "提示模版已删除",
+        "toggleViewMode": "切换显示模式",
+        "uploadImage": "上传图像",
+        "active": "激活",
+        "choosePromptTemplate": "选择提示词模板",
+        "clearTemplateSelection": "清除模版选择",
+        "copyTemplate": "拷贝模版",
+        "createPromptTemplate": "创建提示词模版",
+        "defaultTemplates": "默认模版",
+        "editTemplate": "编辑模版",
+        "exportFailed": "无法生成并下载CSV文件",
+        "flatten": "将选定的模板内容合并到当前提示中",
+        "negativePrompt": "反向提示词",
+        "promptTemplateCleared": "提示模板已清除",
+        "useForTemplate": "用于提示词模版",
+        "viewList": "预览模版列表",
+        "viewModeTooltip": "这是您的提示在当前选定的模板下的预览效果。如需编辑提示，请直接在文本框中点击进行修改.",
+        "noTemplates": "无模版",
+        "private": "私密"
     }
 }

invokeai/version/invokeai_version.py

@@ -1 +1 @@
-__version__ = "4.2.9rc1"
+__version__ = "4.2.9"