Compare commits

...

21 Commits

Author SHA1 Message Date
psychedelicious
b2ff83092f fix(ui): form element settings obscured by container 2025-02-27 14:49:52 +11:00
psychedelicious
d2db38a5b9 chore(ui): update whats new 2025-02-27 13:01:07 +11:00
psychedelicious
fa988a6273 chore: bump version to v5.7.0 2025-02-27 13:01:07 +11:00
HAL
149f60946c translationBot(ui): update translation (Japanese)
Currently translated at 37.7% (680 of 1801 strings)

Co-authored-by: HAL <HALQME@users.noreply.hosted.weblate.org>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/ja/
Translation: InvokeAI/Web UI
2025-02-27 12:42:03 +11:00
Hiroto N
ee9d620a36 translationBot(ui): update translation (Japanese)
Currently translated at 40.3% (727 of 1801 strings)

translationBot(ui): update translation (Japanese)

Currently translated at 37.7% (680 of 1801 strings)

Co-authored-by: Hiroto N <hironow365@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/ja/
Translation: InvokeAI/Web UI
2025-02-27 12:42:03 +11:00
psychedelicious
4e8ce4abab feat(app): more detailed messages when loading custom nodes 2025-02-27 12:39:37 +11:00
psychedelicious
d40f2fa37c feat(app): improved custom load loading ordering
Previously, custom node loading occurred _during module imports_. A consequence of this is that when a custom node import fails (e.g. its type clobbers an existing node), the app fails to start up.

In fact, any time we import basically anything from the app, we trigger custom node imports! Not good.

This logic is now in its own function, called as the API app starts up.

If a custom node load fails for any reason, it no longer prevents the app from starting up.

One other bonus we get from this is that we can now ensure custom nodes are loaded _after_ core nodes.

Any clobbering that may occur while loading custom nodes is now guaranteed to be a custom node clobbering a core node's type - and not the other way round.
2025-02-27 12:39:37 +11:00
psychedelicious
933f4f6857 feat(app): improve error messages when registering invocations and they clobber 2025-02-27 12:39:37 +11:00
psychedelicious
f499b2db7b feat(app): add get_invocation_for_type method to BaseInvocation 2025-02-27 12:39:37 +11:00
psychedelicious
706aaf7460 tidy(app): remove unused variable 2025-02-27 12:39:37 +11:00
psychedelicious
4a706d00bb feat(app): use generic for append_list util 2025-02-27 12:28:00 +11:00
psychedelicious
2a8bff601f chore(ui): typegen 2025-02-27 12:28:00 +11:00
psychedelicious
3f0e3192f6 chore(app): mark metadata_field_extractor as deprecated 2025-02-27 12:28:00 +11:00
psychedelicious
c65147e2ff feat(app): adopt @skunkworxdark's popular metadata nodes
Thank you!
2025-02-27 12:28:00 +11:00
psychedelicious
1c14e257a3 feat(app): do not pull PIL image from disk in image primitive 2025-02-27 12:19:27 +11:00
psychedelicious
fe24217082 fix(ui): image usage checks collection fields
When deleting a board w/ images, the image usage checking logic was not checking image collection fields. This could result in a nonexistent image lingering in a node.

We already handle single image fields correctly, it's only the image collection fields taht were affected.
2025-02-27 10:24:59 +11:00
psychedelicious
aee847065c revert(ui): images from board generator only works on boards 2025-02-27 10:19:13 +11:00
psychedelicious
525da3257c chore(ui): typegen 2025-02-27 10:19:13 +11:00
psychedelicious
559654f0ca revert(app): get_all_board_image_names_for_board requires board_id 2025-02-27 10:19:13 +11:00
Eugene Brodsky
5d33874d58 fix(backend): ValuesToInsertTuple.retried_from_item_id should be an int 2025-02-27 07:35:41 +11:00
Mary Hipp
0063315139 fix(api): add new args to all uses of get_all_board_image_names_for_board 2025-02-26 15:05:40 -05:00
26 changed files with 2943 additions and 197 deletions

View File

@@ -1,4 +1,4 @@
from typing import Literal, Optional, Union
from typing import Optional, Union
from fastapi import Body, HTTPException, Path, Query
from fastapi.routing import APIRouter
@@ -146,7 +146,7 @@ async def list_boards(
response_model=list[str],
)
async def list_all_board_image_names(
board_id: str | Literal["none"] = Path(description="The id of the board"),
board_id: str = Path(description="The id of the board"),
categories: list[ImageCategory] | None = Query(default=None, description="The categories of image to include."),
is_intermediate: bool | None = Query(default=None, description="Whether to list intermediate images."),
) -> list[str]:

View File

@@ -36,6 +36,7 @@ from invokeai.app.api.routers import (
workflows,
)
from invokeai.app.api.sockets import SocketIO
from invokeai.app.invocations.load_custom_nodes import load_custom_nodes
from invokeai.app.services.config.config_default import get_config
from invokeai.app.util.custom_openapi import get_openapi_func
from invokeai.backend.util.devices import TorchDevice
@@ -63,6 +64,11 @@ loop = asyncio.new_event_loop()
# the correct port when the server starts in the lifespan handler.
port = app_config.port
# Load custom nodes. This must be done after importing the Graph class, which itself imports all modules from the
# invocations module. The ordering here is implicit, but important - we want to load custom nodes after all the
# core nodes have been imported so that we can catch when a custom node clobbers a core node.
load_custom_nodes(custom_nodes_path=app_config.custom_nodes_path)
@asynccontextmanager
async def lifespan(app: FastAPI):

View File

@@ -1,33 +1,5 @@
import shutil
import sys
from importlib.util import module_from_spec, spec_from_file_location
from pathlib import Path
from invokeai.app.services.config.config_default import get_config
custom_nodes_path = Path(get_config().custom_nodes_path)
custom_nodes_path.mkdir(parents=True, exist_ok=True)
custom_nodes_init_path = str(custom_nodes_path / "__init__.py")
custom_nodes_readme_path = str(custom_nodes_path / "README.md")
# copy our custom nodes __init__.py to the custom nodes directory
shutil.copy(Path(__file__).parent / "custom_nodes/init.py", custom_nodes_init_path)
shutil.copy(Path(__file__).parent / "custom_nodes/README.md", custom_nodes_readme_path)
# set the same permissions as the destination directory, in case our source is read-only,
# so that the files are user-writable
for p in custom_nodes_path.glob("**/*"):
p.chmod(custom_nodes_path.stat().st_mode)
# Import custom nodes, see https://docs.python.org/3/library/importlib.html#importing-programmatically
spec = spec_from_file_location("custom_nodes", custom_nodes_init_path)
if spec is None or spec.loader is None:
raise RuntimeError(f"Could not load custom nodes from {custom_nodes_init_path}")
module = module_from_spec(spec)
sys.modules[spec.name] = module
spec.loader.exec_module(module)
# add core nodes to __all__
python_files = filter(lambda f: not f.name.startswith("_"), Path(__file__).parent.glob("*.py"))
__all__ = [f.stem for f in python_files] # type: ignore

View File

@@ -44,8 +44,6 @@ if TYPE_CHECKING:
logger = InvokeAILogger.get_logger()
CUSTOM_NODE_PACK_SUFFIX = "__invokeai-custom-node"
class InvalidVersionError(ValueError):
pass
@@ -240,6 +238,11 @@ class BaseInvocation(ABC, BaseModel):
"""Gets the invocation's output annotation (i.e. the return annotation of its `invoke()` method)."""
return signature(cls.invoke).return_annotation
@classmethod
def get_invocation_for_type(cls, invocation_type: str) -> BaseInvocation | None:
"""Gets the invocation class for a given invocation type."""
return cls.get_invocations_map().get(invocation_type)
@staticmethod
def json_schema_extra(schema: dict[str, Any], model_class: Type[BaseInvocation]) -> None:
"""Adds various UI-facing attributes to the invocation's OpenAPI schema."""
@@ -446,8 +449,27 @@ def invocation(
if re.compile(r"^\S+$").match(invocation_type) is None:
raise ValueError(f'"invocation_type" must consist of non-whitespace characters, got "{invocation_type}"')
# The node pack is the module name - will be "invokeai" for built-in nodes
node_pack = cls.__module__.split(".")[0]
# Handle the case where an existing node is being clobbered by the one we are registering
if invocation_type in BaseInvocation.get_invocation_types():
raise ValueError(f'Invocation type "{invocation_type}" already exists')
clobbered_invocation = BaseInvocation.get_invocation_for_type(invocation_type)
# This should always be true - we just checked if the invocation type was in the set
assert clobbered_invocation is not None
clobbered_node_pack = clobbered_invocation.UIConfig.node_pack
if clobbered_node_pack == "invokeai":
# The node being clobbered is a core node
raise ValueError(
f'Cannot load node "{invocation_type}" from node pack "{node_pack}" - a core node with the same type already exists'
)
else:
# The node being clobbered is a custom node
raise ValueError(
f'Cannot load node "{invocation_type}" from node pack "{node_pack}" - a node with the same type already exists in node pack "{clobbered_node_pack}"'
)
validate_fields(cls.model_fields, invocation_type)
@@ -457,8 +479,7 @@ def invocation(
uiconfig["tags"] = tags
uiconfig["category"] = category
uiconfig["classification"] = classification
# The node pack is the module name - will be "invokeai" for built-in nodes
uiconfig["node_pack"] = cls.__module__.split(".")[0]
uiconfig["node_pack"] = node_pack
if version is not None:
try:

View File

@@ -10,10 +10,12 @@ from pathlib import Path
from invokeai.backend.util.logging import InvokeAILogger
logger = InvokeAILogger.get_logger()
loaded_count = 0
loaded_packs: list[str] = []
failed_packs: list[str] = []
custom_nodes_dir = Path(__file__).parent
for d in Path(__file__).parent.iterdir():
for d in custom_nodes_dir.iterdir():
# skip files
if not d.is_dir():
continue
@@ -47,12 +49,16 @@ for d in Path(__file__).parent.iterdir():
sys.modules[spec.name] = module
spec.loader.exec_module(module)
loaded_count += 1
loaded_packs.append(module_name)
except Exception:
failed_packs.append(module_name)
full_error = traceback.format_exc()
logger.error(f"Failed to load node pack {module_name}:\n{full_error}")
logger.error(f"Failed to load node pack {module_name} (may have partially loaded):\n{full_error}")
del init, module_name
loaded_count = len(loaded_packs)
if loaded_count > 0:
logger.info(f"Loaded {loaded_count} node packs from {Path(__file__).parent}")
logger.info(
f"Loaded {loaded_count} node pack{'s' if loaded_count != 1 else ''} from {custom_nodes_dir}: {', '.join(loaded_packs)}"
)

View File

@@ -0,0 +1,40 @@
import shutil
import sys
from importlib.util import module_from_spec, spec_from_file_location
from pathlib import Path
def load_custom_nodes(custom_nodes_path: Path):
"""
Loads all custom nodes from the custom_nodes_path directory.
This function copies a custom __init__.py file to the custom_nodes_path directory, effectively turning it into a
python module.
The custom __init__.py file itself imports all the custom node packs as python modules from the custom_nodes_path
directory.
Then,the custom __init__.py file is programmatically imported using importlib. As it executes, it imports all the
custom node packs as python modules.
"""
custom_nodes_path.mkdir(parents=True, exist_ok=True)
custom_nodes_init_path = str(custom_nodes_path / "__init__.py")
custom_nodes_readme_path = str(custom_nodes_path / "README.md")
# copy our custom nodes __init__.py to the custom nodes directory
shutil.copy(Path(__file__).parent / "custom_nodes/init.py", custom_nodes_init_path)
shutil.copy(Path(__file__).parent / "custom_nodes/README.md", custom_nodes_readme_path)
# set the same permissions as the destination directory, in case our source is read-only,
# so that the files are user-writable
for p in custom_nodes_path.glob("**/*"):
p.chmod(custom_nodes_path.stat().st_mode)
# Import custom nodes, see https://docs.python.org/3/library/importlib.html#importing-programmatically
spec = spec_from_file_location("custom_nodes", custom_nodes_init_path)
if spec is None or spec.loader is None:
raise RuntimeError(f"Could not load custom nodes from {custom_nodes_init_path}")
module = module_from_spec(spec)
sys.modules[spec.name] = module
spec.loader.exec_module(module)

View File

@@ -284,6 +284,7 @@ class CoreMetadataInvocation(BaseInvocation):
tags=["metadata"],
category="metadata",
version="1.0.0",
classification=Classification.Deprecated,
)
class MetadataFieldExtractorInvocation(BaseInvocation):
"""Extracts the text value from an image's metadata given a key.

File diff suppressed because it is too large Load Diff

View File

@@ -265,13 +265,9 @@ class ImageInvocation(BaseInvocation):
image: ImageField = InputField(description="The image to load")
def invoke(self, context: InvocationContext) -> ImageOutput:
image = context.images.get_pil(self.image.image_name)
image_dto = context.images.get_dto(self.image.image_name)
return ImageOutput(
image=ImageField(image_name=self.image.image_name),
width=image.width,
height=image.height,
)
return ImageOutput.build(image_dto=image_dto)
@invocation(

View File

@@ -1,5 +1,5 @@
from abc import ABC, abstractmethod
from typing import Literal, Optional
from typing import Optional
from invokeai.app.services.image_records.image_records_common import ImageCategory
@@ -27,7 +27,7 @@ class BoardImageRecordStorageBase(ABC):
@abstractmethod
def get_all_board_image_names_for_board(
self,
board_id: str | Literal["none"],
board_id: str,
categories: list[ImageCategory] | None,
is_intermediate: bool | None,
) -> list[str]:

View File

@@ -1,6 +1,6 @@
import sqlite3
import threading
from typing import Literal, Optional, cast
from typing import Optional, cast
from invokeai.app.services.board_image_records.board_image_records_base import BoardImageRecordStorageBase
from invokeai.app.services.image_records.image_records_common import (
@@ -103,7 +103,7 @@ class SqliteBoardImageRecordStorage(BoardImageRecordStorageBase):
def get_all_board_image_names_for_board(
self,
board_id: str | Literal["none"],
board_id: str,
categories: list[ImageCategory] | None,
is_intermediate: bool | None,
) -> list[str]:
@@ -118,14 +118,9 @@ class SqliteBoardImageRecordStorage(BoardImageRecordStorageBase):
FROM images
LEFT JOIN board_images ON board_images.image_name = images.image_name
WHERE 1=1
AND board_images.board_id = ?
"""
# Add the board_id filter
if board_id == "none":
stmt += "AND board_images.board_id IS NULL"
else:
stmt += "AND board_images.board_id = ?"
params.append(board_id)
params.append(board_id)
# Add the category filter
if categories is not None:

View File

@@ -1,5 +1,5 @@
from abc import ABC, abstractmethod
from typing import Literal, Optional
from typing import Optional
from invokeai.app.services.image_records.image_records_common import ImageCategory
@@ -27,7 +27,7 @@ class BoardImagesServiceABC(ABC):
@abstractmethod
def get_all_board_image_names_for_board(
self,
board_id: str | Literal["none"],
board_id: str,
categories: list[ImageCategory] | None,
is_intermediate: bool | None,
) -> list[str]:

View File

@@ -1,4 +1,4 @@
from typing import Literal, Optional
from typing import Optional
from invokeai.app.services.board_images.board_images_base import BoardImagesServiceABC
from invokeai.app.services.image_records.image_records_common import ImageCategory
@@ -26,7 +26,7 @@ class BoardImagesService(BoardImagesServiceABC):
def get_all_board_image_names_for_board(
self,
board_id: str | Literal["none"],
board_id: str,
categories: list[ImageCategory] | None,
is_intermediate: bool | None,
) -> list[str]:

View File

@@ -63,7 +63,11 @@ class BulkDownloadService(BulkDownloadBase):
return [self._invoker.services.images.get_dto(image_name) for image_name in image_names]
def _board_handler(self, board_id: str) -> list[ImageDTO]:
image_names = self._invoker.services.board_image_records.get_all_board_image_names_for_board(board_id)
image_names = self._invoker.services.board_image_records.get_all_board_image_names_for_board(
board_id,
categories=None,
is_intermediate=None,
)
return self._image_handler(image_names)
def generate_item_id(self, board_id: Optional[str]) -> str:

View File

@@ -265,7 +265,11 @@ class ImageService(ImageServiceABC):
def delete_images_on_board(self, board_id: str):
try:
image_names = self.__invoker.services.board_image_records.get_all_board_image_names_for_board(board_id)
image_names = self.__invoker.services.board_image_records.get_all_board_image_names_for_board(
board_id,
categories=None,
is_intermediate=None,
)
for image_name in image_names:
self.__invoker.services.image_files.delete(image_name)
self.__invoker.services.image_records.delete_many(image_names)
@@ -278,7 +282,7 @@ class ImageService(ImageServiceABC):
self.__invoker.services.logger.error("Failed to delete image files")
raise
except Exception as e:
self.__invoker.services.logger.error("Problem deleting image records and files")
self.__invoker.services.logger.error(f"Problem deleting image records and files: {str(e)}")
raise e
def delete_intermediates(self) -> int:

View File

@@ -568,7 +568,7 @@ ValueToInsertTuple: TypeAlias = tuple[
str | None, # workflow (optional, as stringified JSON)
str | None, # origin (optional)
str | None, # destination (optional)
str | None, # retried_from_item_id (optional, this is always None for new items)
int | None, # retried_from_item_id (optional, this is always None for new items)
]
"""A type alias for the tuple of values to insert into the session queue table."""

View File

@@ -9,6 +9,7 @@ from torch import Tensor
from invokeai.app.invocations.constants import IMAGE_MODES
from invokeai.app.invocations.fields import MetadataField, WithBoard, WithMetadata
from invokeai.app.services.board_records.board_records_common import BoardRecordOrderBy
from invokeai.app.services.boards.boards_common import BoardDTO
from invokeai.app.services.config.config_default import InvokeAIAppConfig
from invokeai.app.services.image_records.image_records_common import ImageCategory, ResourceOrigin
@@ -16,6 +17,7 @@ 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.services.session_processor.session_processor_common import ProgressImage
from invokeai.app.services.shared.sqlite.sqlite_common import SQLiteDirection
from invokeai.app.util.step_callback import flux_step_callback, stable_diffusion_step_callback
from invokeai.backend.model_manager.config import (
AnyModel,
@@ -102,7 +104,9 @@ class BoardsInterface(InvocationContextInterface):
Returns:
A list of all boards.
"""
return self._services.boards.get_all()
return self._services.boards.get_all(
order_by=BoardRecordOrderBy.CreatedAt, direction=SQLiteDirection.Descending
)
def add_image_to_board(self, board_id: str, image_name: str) -> None:
"""Adds an image to a board.
@@ -122,7 +126,11 @@ class BoardsInterface(InvocationContextInterface):
Returns:
A list of all image names for the board.
"""
return self._services.board_images.get_all_board_image_names_for_board(board_id)
return self._services.board_images.get_all_board_image_names_for_board(
board_id,
categories=None,
is_intermediate=None,
)
class LoggerInterface(InvocationContextInterface):
@@ -283,7 +291,7 @@ class ImagesInterface(InvocationContextInterface):
Returns:
The local path of the image or thumbnail.
"""
return self._services.images.get_path(image_name, thumbnail)
return Path(self._services.images.get_path(image_name, thumbnail))
class TensorsInterface(InvocationContextInterface):

View File

@@ -2301,12 +2301,8 @@
"whatsNew": {
"whatsNewInInvoke": "What's New in Invoke",
"items": [
"Improved VRAM setting defaults",
"On-demand model cache clearing",
"Expanded FLUX LoRA compatibility",
"Canvas Adjust Image filter",
"Cancel all but current queue item",
"Copy from and paste to Canvas"
"Workflow Editor: New drag-and-drop form builder for easier workflow creation.",
"Other improvements: Faster batch queuing, better upscaling, improved color picker, and metadata nodes."
],
"readReleaseNotes": "Read Release Notes",
"watchRecentReleaseVideos": "Watch Recent Release Videos",

View File

@@ -32,29 +32,29 @@
"learnMore": "もっと学ぶ",
"random": "ランダム",
"batch": "バッチマネージャー",
"advanced": "高度な設定",
"advanced": "高度",
"created": "作成済",
"green": "緑",
"blue": "青",
"alpha": "アルファ",
"outpaint": "アウトペイント",
"outpaint": "outpaint",
"unknown": "不明",
"updated": "更新済",
"add": "追加",
"ai": "AI",
"ai": "ai",
"copyError": "$t(gallery.copy) エラー",
"data": "データ",
"template": "テンプレート",
"red": "赤",
"or": "または",
"checkpoint": "チェックポイント",
"checkpoint": "Checkpoint",
"direction": "方向",
"simple": "シンプル",
"save": "保存",
"saveAs": "名前をつけて保存",
"somethingWentWrong": "何かの問題が発生しました",
"details": "詳細",
"inpaint": "インペイント",
"inpaint": "inpaint",
"delete": "削除",
"nextPage": "次のページ",
"copy": "コピー",
@@ -70,12 +70,12 @@
"unknownError": "未知のエラー",
"orderBy": "並び順:",
"enabled": "有効",
"notInstalled": "未インストール",
"notInstalled": "未 $t(common.installed)",
"positivePrompt": "ポジティブプロンプト",
"negativePrompt": "ネガティブプロンプト",
"selected": "選択済み",
"aboutDesc": "Invokeを業務で利用する場合はマークしてください:",
"beta": "ベータ",
"beta": "Beta",
"disabled": "無効",
"editor": "エディタ",
"safetensors": "Safetensors",
@@ -93,7 +93,27 @@
"reset": "リセット",
"none": "なし",
"new": "新規",
"close": "閉じる"
"close": "閉じる",
"warnings": "警告",
"dontShowMeThese": "次回から表示しない",
"goTo": "移動",
"generating": "生成中",
"loadingModel": "モデルをロード中",
"layout": "レイアウト",
"step": "ステップ",
"start": "開始",
"count": "回数",
"end": "終了",
"min": "最小",
"max": "最大",
"values": "値",
"resetToDefaults": "デフォルトに戻す",
"row": "行",
"column": "列",
"board": "ボード",
"seed": "シード",
"combinatorial": "組み合わせ",
"aboutHeading": "想像力をこの手に"
},
"gallery": {
"galleryImageSize": "画像のサイズ",
@@ -109,7 +129,7 @@
"currentlyInUse": "この画像は現在下記の機能を使用しています:",
"drop": "ドロップ",
"dropOrUpload": "$t(gallery.drop) またはアップロード",
"deleteImage_other": "画像を削除",
"deleteImage_other": "画像 {{count}} 枚を削除",
"deleteImagePermanent": "削除された画像は復元できません。",
"download": "ダウンロード",
"unableToLoad": "ギャラリーをロードできません",
@@ -155,7 +175,12 @@
"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"
"imagesSettings": "ギャラリー画像設定",
"selectAllOnPage": "ページ上のすべてを選択",
"images": "画像",
"assetsTab": "プロジェクトで使用するためにアップロードされたファイル。",
"imagesTab": "Invoke内で作成および保存された画像。",
"assets": "アセット"
},
"hotkeys": {
"searchHotkeys": "ホットキーを検索",
@@ -180,44 +205,121 @@
},
"canvas": {
"redo": {
"title": "やり直し"
"title": "やり直し",
"desc": "最後のキャンバス操作をやり直します。"
},
"transformSelected": {
"title": "変形"
"title": "変形",
"desc": "選択したレイヤーを変形します。"
},
"undo": {
"title": "取り消し"
"title": "取り消し",
"desc": "最後のキャンバス操作を取り消します。"
},
"selectEraserTool": {
"title": "消しゴムツール"
"title": "消しゴムツール",
"desc": "消しゴムツールを選択します。"
},
"cancelTransform": {
"title": "変形をキャンセル"
"title": "変形をキャンセル",
"desc": "保留中の変形をキャンセルします。"
},
"resetSelected": {
"title": "レイヤーをリセット"
"title": "レイヤーをリセット",
"desc": "選択したレイヤーをリセットします。この操作はInpaint MaskおよびRegional Guidanceにのみ適用されます。"
},
"applyTransform": {
"title": "変形を適用"
"title": "変形を適用",
"desc": "保留中の変形を選択したレイヤーに適用します。"
},
"selectColorPickerTool": {
"title": "スポイトツール"
"title": "スポイトツール",
"desc": "スポイトツールを選択します。"
},
"fitBboxToCanvas": {
"title": "バウンディングボックスをキャンバスにフィット"
"title": "バウンディングボックスをキャンバスにフィット",
"desc": "バウンディングボックスがキャンバスに収まるように表示を拡大、位置調整します。"
},
"selectBrushTool": {
"title": "ブラシツール"
"title": "ブラシツール",
"desc": "ブラシツールを選択します。"
},
"selectMoveTool": {
"title": "移動ツール"
"title": "移動ツール",
"desc": "移動ツールを選択します。"
},
"selectBboxTool": {
"title": "バウンディングボックスツール"
"title": "バウンディングボックスツール",
"desc": "バウンディングボックスツールを選択します。"
},
"title": "キャンバス",
"fitLayersToCanvas": {
"title": "レイヤーをキャンバスにフィット"
"title": "レイヤーをキャンバスにフィット",
"desc": "すべての表示レイヤーがキャンバスに収まるように表示を拡大、位置調整します。"
},
"setZoomTo400Percent": {
"desc": "キャンバスのズームを400%に設定します。",
"title": "400%にズーム"
},
"setZoomTo800Percent": {
"title": "800%にズーム",
"desc": "キャンバスのズームを800%に設定します。"
},
"quickSwitch": {
"title": "レイヤーのクイックスイッチ",
"desc": "最後に選択した2つのレイヤー間を切り替えます。レイヤーがブックマークされている場合、常にそのレイヤーと最後に選択したブックマークされていないレイヤーの間を切り替えます。"
},
"nextEntity": {
"title": "次のレイヤー",
"desc": "リスト内の次のレイヤーを選択します。"
},
"filterSelected": {
"title": "フィルター",
"desc": "選択したレイヤーをフィルターします。RasterおよびControlレイヤーにのみ適用されます。"
},
"prevEntity": {
"desc": "リスト内の前のレイヤーを選択します。",
"title": "前のレイヤー"
},
"setFillToWhite": {
"title": "ツール色を白に設定",
"desc": "現在のツールの色を白色に設定します。"
},
"selectViewTool": {
"title": "表示ツール",
"desc": "表示ツールを選択します。"
},
"setZoomTo100Percent": {
"title": "100%にズーム",
"desc": "キャンバスのズームを100%に設定します。"
},
"deleteSelected": {
"desc": "選択したレイヤーを削除します。",
"title": "レイヤーを削除"
},
"cancelFilter": {
"desc": "保留中のフィルターをキャンセルします。",
"title": "フィルターをキャンセル"
},
"applyFilter": {
"title": "フィルターを適用",
"desc": "保留中のフィルターを選択したレイヤーに適用します。"
},
"setZoomTo200Percent": {
"title": "200%にズーム",
"desc": "キャンバスのズームを200%に設定します。"
},
"decrementToolWidth": {
"title": "ツール幅を縮小する",
"desc": "選択中のブラシまたは消しゴムツールの幅を減少させます。"
},
"incrementToolWidth": {
"desc": "選択中のブラシまたは消しゴムツールの幅を増加させます。",
"title": "ツール幅を増加する"
},
"selectRectTool": {
"title": "矩形ツール",
"desc": "矩形ツールを選択します。"
}
},
"workflows": {
@@ -226,7 +328,8 @@
},
"redo": {
"title": "やり直し"
}
},
"title": "ワークフロー"
},
"app": {
"toggleLeftPanel": {
@@ -235,13 +338,56 @@
},
"title": "アプリケーション",
"invoke": {
"title": "Invoke"
"title": "生成",
"desc": "生成をキューに追加し、キューの末尾に加えます。"
},
"cancelQueueItem": {
"title": "キャンセル"
"title": "キャンセル",
"desc": "現在処理中のキュー項目をキャンセルします。"
},
"clearQueue": {
"title": "キューをクリア"
"title": "キューをクリア",
"desc": "すべてのキュー項目をキャンセルして消去します。"
},
"selectCanvasTab": {
"desc": "キャンバスタブを選択します。",
"title": "キャンバスタブを選択"
},
"selectUpscalingTab": {
"desc": "アップスケーリングタブを選択します。",
"title": "アップスケーリングタブを選択"
},
"toggleRightPanel": {
"desc": "右パネルを表示または非表示。",
"title": "右パネルをトグル"
},
"selectModelsTab": {
"title": "モデルタブを選択",
"desc": "モデルタブを選択します。"
},
"invokeFront": {
"desc": "生成をキューに追加し、キューの先頭に加えます。",
"title": "生成(先頭)"
},
"resetPanelLayout": {
"title": "パネルレイアウトをリセット",
"desc": "左パネルと右パネルをデフォルトのサイズとレイアウトにリセットします。"
},
"togglePanels": {
"desc": "左パネルと右パネルを合わせて表示または非表示。",
"title": "パネルをトグル"
},
"selectWorkflowsTab": {
"desc": "ワークフロータブを選択します。",
"title": "ワークフロータブを選択"
},
"selectQueueTab": {
"title": "キュータブを選択",
"desc": "キュータブを選択します。"
},
"focusPrompt": {
"title": "プロンプトにフォーカス",
"desc": "カーソルをポジティブプロンプト欄に移動します。"
}
},
"hotkeys": "ホットキー"
@@ -255,13 +401,13 @@
"name": "名前",
"description": "概要",
"config": "コンフィグ",
"repo_id": "Repo ID",
"repo_id": "リポジトリID",
"width": "幅",
"height": "高さ",
"addModel": "モデルを追加",
"availableModels": "モデルを有効化",
"search": "検索",
"load": "Load",
"load": "ロード",
"active": "active",
"selected": "選択済",
"delete": "削除",
@@ -281,7 +427,7 @@
"modelConverted": "モデル変換が完了しました",
"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",
"advanced": "高度",
"modelDeleted": "モデルが削除されました",
"convertToDiffusersHelpText2": "このプロセスでは、モデルマネージャーのエントリーを同じモデルのディフューザーバージョンに置き換えます。",
"modelUpdateFailed": "モデル更新が失敗しました",
@@ -294,7 +440,19 @@
"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",
"uploadImage": "画像をアップロード",
"addModels": "モデルを追加"
"addModels": "モデルを追加",
"modelName": "モデル名",
"source": "ソース",
"path": "パス",
"modelSettings": "モデル設定",
"vae": "VAE",
"huggingFace": "HuggingFace",
"huggingFaceRepoID": "HuggingFace リポジトリID",
"metadata": "メタデータ",
"loraModels": "LoRA",
"edit": "編集",
"install": "インストール",
"huggingFacePlaceholder": "owner/model-name"
},
"parameters": {
"images": "画像",
@@ -305,7 +463,7 @@
"shuffle": "シャッフル",
"strength": "強度",
"upscaling": "アップスケーリング",
"scale": "Scale",
"scale": "スケール",
"scaleBeforeProcessing": "処理前のスケール",
"scaledWidth": "幅のスケール",
"scaledHeight": "高さのスケール",
@@ -314,7 +472,7 @@
"useSeed": "シード値を使用",
"useAll": "すべてを使用",
"info": "情報",
"showOptionsPanel": "オプションパネルを表示",
"showOptionsPanel": "サイドパネルを表示 (O or T)",
"iterations": "生成回数",
"general": "基本設定",
"setToOptimalSize": "サイズをモデルに最適化",
@@ -328,16 +486,28 @@
"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"
"recallMetadata": "メタデータを再使用",
"copyImage": "画像をコピー",
"positivePromptPlaceholder": "ポジティブプロンプト",
"negativePromptPlaceholder": "ネガティブプロンプト",
"type": "タイプ",
"cancel": {
"cancel": "キャンセル"
},
"cfgScale": "CFGスケール",
"tileSize": "タイルサイズ",
"coherenceMode": "モード"
},
"settings": {
"models": "モデル",
"displayInProgress": "生成中の画像を表示する",
"displayInProgress": "生成中の画像を表示",
"confirmOnDelete": "削除時に確認",
"resetWebUI": "WebUIをリセット",
"resetWebUIDesc1": "WebUIのリセットは、画像と保存された設定のキャッシュをリセットするだけです。画像を削除するわけではありません。",
"resetWebUIDesc2": "もしギャラリーに画像が表示されないなど、何か問題が発生した場合はGitHubにissueを提出する前にリセットを試してください。",
"resetComplete": "WebUIはリセットされました。F5を押して再読み込みしてください。"
"resetComplete": "WebUIはリセットされました。",
"ui": "ユーザーインターフェイス",
"beta": "ベータ"
},
"toast": {
"uploadFailed": "アップロード失敗",
@@ -345,7 +515,8 @@
"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"
"imageUploaded": "画像をアップロードしました",
"serverError": "サーバーエラー"
},
"accessibility": {
"invokeProgressBar": "進捗バー",
@@ -356,7 +527,7 @@
"menu": "メニュー",
"createIssue": "問題を報告",
"resetUI": "$t(accessibility.reset) UI",
"mode": "モード:",
"mode": "モード",
"about": "Invoke について",
"submitSupportTicket": "サポート依頼を送信する",
"uploadImages": "画像をアップロード",
@@ -373,7 +544,19 @@
"positivePrompt": "ポジティブプロンプト",
"strength": "Image to Image 強度",
"recallParameters": "パラメータを再使用",
"recallParameter": "{{label}} を再使用"
"recallParameter": "{{label}} を再使用",
"imageDimensions": "画像サイズ",
"imageDetails": "画像の詳細",
"model": "モデル",
"allPrompts": "すべてのプロンプト",
"cfgScale": "CFGスケール",
"createdBy": "作成:",
"metadata": "メタデータ",
"height": "高さ",
"negativePrompt": "ネガティブプロンプト",
"generationMode": "生成モード",
"vae": "VAE",
"cfgRescaleMultiplier": "$t(parameters.cfgRescaleMultiplier)"
},
"queue": {
"queueEmpty": "キューが空です",
@@ -405,7 +588,7 @@
"batchQueuedDesc_other": "{{count}} セッションをキューの{{direction}}に追加しました",
"graphQueued": "グラフをキューに追加しました",
"batch": "バッチ",
"clearQueueAlertDialog": "キューをクリアすると、処理中のアイテムは直ちにキャンセルされ、キューは完全にクリアされます。",
"clearQueueAlertDialog": "キューをクリアすると、処理中の項目は直ちにキャンセルされ、キューは完全にクリアされます。保留中のフィルターもキャンセルされます。",
"pending": "保留中",
"resumeFailed": "処理の再開に問題があります",
"clear": "クリア",
@@ -423,7 +606,7 @@
"enqueueing": "バッチをキューに追加",
"cancelBatchFailed": "バッチのキャンセルに問題があります",
"clearQueueAlertDialog2": "キューをクリアしてもよろしいですか?",
"item": "アイテム",
"item": "項目",
"graphFailedToQueue": "グラフをキューに追加できませんでした",
"batchFieldValues": "バッチの詳細",
"openQueue": "キューを開く",
@@ -439,7 +622,17 @@
"upscaling": "アップスケール",
"generation": "生成",
"other": "その他",
"gallery": "ギャラリー"
"gallery": "ギャラリー",
"cancelAllExceptCurrentQueueItemAlertDialog2": "すべての保留中のキュー項目をキャンセルしてもよいですか?",
"cancelAllExceptCurrentTooltip": "現在の項目を除いてすべてキャンセル",
"origin": "先頭",
"destination": "宛先",
"confirm": "確認",
"retryItem": "項目をリトライ",
"batchSize": "バッチサイズ",
"retryFailed": "項目のリトライに問題があります",
"cancelAllExceptCurrentQueueItemAlertDialog": "現在の項目を除くすべてのキュー項目をキャンセルすると、保留中の項目は停止しますが、進行中の項目は完了します。",
"retrySucceeded": "項目がリトライされました"
},
"models": {
"noMatchingModels": "一致するモデルがありません",
@@ -448,13 +641,14 @@
"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",
"concepts": "コンセプト",
"addLora": "LoRAを追加"
"addLora": "LoRAを追加",
"lora": "LoRA"
},
"nodes": {
"addNode": "ノードを追加",
"boolean": "ブーリアン",
"addNodeToolTip": "ノードを追加 (Shift+A, Space)",
"missingTemplate": "テンプレートが見つかりません",
"missingTemplate": "Invalid node: タイプ {{type}} のノード {{node}} にテンプレートがりません(未インストール?)",
"loadWorkflow": "ワークフローを読み込み",
"hideLegendNodes": "フィールドタイプの凡例を非表示",
"float": "浮動小数点",
@@ -465,7 +659,7 @@
"currentImageDescription": "ノードエディタ内の現在の画像を表示",
"downloadWorkflow": "ワークフローのJSONをダウンロード",
"fieldTypesMustMatch": "フィールドタイプが一致している必要があります",
"edge": "輪郭",
"edge": "エッジ",
"animatedEdgesHelp": "選択したエッジおよび選択したノードに接続されたエッジをアニメーション化します",
"cannotDuplicateConnection": "重複した接続は作れません",
"noWorkflow": "ワークフローがありません",
@@ -484,7 +678,19 @@
"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...",
"scheduler": "スケジューラー"
"scheduler": "スケジューラー",
"version": "バージョン",
"edit": "編集",
"nodeVersion": "ノードバージョン",
"workflowTags": "タグ",
"string": "文字列",
"workflowVersion": "バージョン",
"workflowAuthor": "作者",
"ipAdapter": "IP-Adapter",
"notes": "ノート",
"workflow": "ワークフロー",
"workflowName": "名前",
"workflowNotes": "ノート"
},
"boards": {
"autoAddBoard": "自動追加するボード",
@@ -506,7 +712,7 @@
"deleteBoard": "ボードの削除",
"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",
"deletedBoardsCannotbeRestored": "削除されたボードは復元できません。\"ボードのみ削除\"を選択すると画像は未分類に移動されます。",
"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",
@@ -518,7 +724,12 @@
"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"
"imagesWithCount_other": "{{count}} の画像",
"updateBoardError": "ボード更新エラー",
"selectedForAutoAdd": "自動追加に選択済み",
"deletedPrivateBoardsCannotbeRestored": "削除されたボードは復元できません。\"ボードのみ削除\"を選択すると画像はその作成者のプライベートな未分類に移動されます。",
"noBoards": "{{boardType}} ボードがありません",
"viewBoards": "ボードを表示"
},
"invocationCache": {
"invocationCache": "呼び出しキャッシュ",
@@ -570,6 +781,48 @@
},
"paramAspect": {
"heading": "縦横比"
},
"refinerSteps": {
"heading": "ステップ"
},
"paramVAE": {
"heading": "VAE"
},
"scale": {
"heading": "スケール"
},
"refinerScheduler": {
"heading": "スケジューラー"
},
"compositingCoherenceMode": {
"heading": "モード"
},
"paramModel": {
"heading": "モデル"
},
"paramHeight": {
"heading": "高さ"
},
"paramSteps": {
"heading": "ステップ"
},
"ipAdapterMethod": {
"heading": "モード"
},
"paramSeed": {
"heading": "シード"
},
"paramIterations": {
"heading": "生成回数"
},
"controlNet": {
"heading": "ControlNet"
},
"paramWidth": {
"heading": "幅"
},
"lora": {
"heading": "LoRA"
}
},
"accordions": {
@@ -579,7 +832,8 @@
"coherenceTab": "コヒーレンスパス"
},
"advanced": {
"title": "高度な設定"
"title": "高度",
"options": "$t(accordions.advanced.title) オプション"
},
"control": {
"title": "コントロール"
@@ -608,7 +862,10 @@
},
"ui": {
"tabs": {
"queue": "キュー"
"queue": "キュー",
"canvas": "キャンバス",
"workflows": "ワークフロー",
"models": "モデル"
}
},
"controlLayers": {
@@ -674,15 +931,32 @@
"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"
"toggleViewMode": "表示モードを切り替え",
"negativePromptColumn": "'negative_prompt'",
"preview": "プレビュー",
"nameColumn": "'name'"
},
"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"
"upscale": "アップスケール",
"scale": "スケール"
},
"sdxl": {
"denoisingStrength": "ノイズ除去強度",
"scheduler": "スケジューラー"
"scheduler": "スケジューラー",
"loading": "ロード中...",
"steps": "ステップ"
},
"modelCache": {
"clear": "モデルキャッシュを消去",
"clearSucceeded": "モデルキャッシュを消去しました",
"clearFailed": "モデルキャッシュの消去中に問題が発生"
},
"workflows": {
"workflows": "ワークフロー",
"ascending": "昇順",
"name": "名前",
"descending": "降順"
}
}

View File

@@ -4,7 +4,7 @@ import type { CanvasState } from 'features/controlLayers/store/types';
import { selectDeleteImageModalSlice } from 'features/deleteImageModal/store/slice';
import { selectNodesSlice } from 'features/nodes/store/selectors';
import type { NodesState } from 'features/nodes/store/types';
import { isImageFieldInputInstance } from 'features/nodes/types/field';
import { isImageFieldCollectionInputInstance, isImageFieldInputInstance } 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';
@@ -13,11 +13,23 @@ import { some } from 'lodash-es';
import type { ImageUsage } from './types';
// TODO(psyche): handle image deletion (canvas staging area?)
export const getImageUsage = (nodes: NodesState, canvas: CanvasState, upscale: UpscaleState, image_name: string) => {
const isNodesImage = nodes.nodes
.filter(isInvocationNode)
.some((node) =>
some(node.data.inputs, (input) => isImageFieldInputInstance(input) && input.value?.image_name === image_name)
);
const isNodesImage = nodes.nodes.filter(isInvocationNode).some((node) =>
some(node.data.inputs, (input) => {
if (isImageFieldInputInstance(input)) {
if (input.value?.image_name === image_name) {
return true;
}
}
if (isImageFieldCollectionInputInstance(input)) {
if (input.value?.some((value) => value?.image_name === image_name)) {
return true;
}
}
return false;
})
);
const isUpscaleImage = upscale.upscaleInitialImage?.image_name === image_name;

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@@ -1,5 +1,6 @@
import type { ComboboxOnChange, ComboboxOption } from '@invoke-ai/ui-library';
import { Combobox, Flex, FormControl, FormLabel } from '@invoke-ai/ui-library';
import { EMPTY_ARRAY } from 'app/store/constants';
import { NO_DRAG_CLASS, NO_WHEEL_CLASS } from 'features/nodes/types/constants';
import type { ImageGeneratorImagesFromBoard } from 'features/nodes/types/field';
import { memo, useCallback, useMemo } from 'react';
@@ -49,31 +50,21 @@ const BoardCombobox = ({
board_id,
onChange: _onChange,
}: {
board_id: string;
board_id: string | undefined;
onChange: (board_id: string) => void;
}) => {
const { t } = useTranslation();
const listAllBoardsQuery = useListAllBoardsQuery(listAllBoardsQueryArg);
const noneOption = useMemo<ComboboxOption>(() => {
return {
label: `${t('common.none')} (${t('boards.uncategorized')})`,
value: 'none',
};
}, [t]);
const options = useMemo<ComboboxOption[]>(() => {
const _options: ComboboxOption[] = [noneOption];
if (listAllBoardsQuery.data) {
for (const board of listAllBoardsQuery.data) {
_options.push({
label: board.board_name,
value: board.board_id,
});
}
if (!listAllBoardsQuery.data) {
return EMPTY_ARRAY;
}
return _options;
}, [listAllBoardsQuery.data, noneOption]);
return listAllBoardsQuery.data.map((board) => ({
label: board.board_name,
value: board.board_id,
}));
}, [listAllBoardsQuery.data]);
const onChange = useCallback<ComboboxOnChange>(
(v) => {
@@ -87,13 +78,7 @@ const BoardCombobox = ({
[_onChange]
);
const value = useMemo(() => {
if (board_id === 'none') {
return noneOption;
}
const boardOption = options.find((o) => o.value === board_id);
return boardOption ?? noneOption;
}, [board_id, options, noneOption]);
const value = useMemo(() => options.find((o) => o.value === board_id) ?? null, [board_id, options]);
const noOptionsMessage = useCallback(() => t('boards.noMatching'), [t]);

View File

@@ -9,6 +9,7 @@ import {
PopoverBody,
PopoverContent,
PopoverTrigger,
Portal,
} from '@invoke-ai/ui-library';
import { useAppDispatch } from 'app/store/storeHooks';
import { formElementContainerDataChanged } from 'features/nodes/store/workflowSlice';
@@ -36,22 +37,24 @@ export const ContainerElementSettings = memo(({ element }: { element: ContainerE
<PopoverTrigger>
<IconButton aria-label="settings" icon={<PiWrenchFill />} variant="link" size="sm" alignSelf="stretch" />
</PopoverTrigger>
<PopoverContent>
<PopoverArrow />
<PopoverBody>
<FormControl>
<FormLabel m={0}>{t('workflows.builder.layout')}</FormLabel>
<ButtonGroup variant="outline" size="sm">
<Button onClick={setLayoutToRow} colorScheme={layout === 'row' ? 'invokeBlue' : 'base'}>
{t('workflows.builder.row')}
</Button>
<Button onClick={setLayoutToColumn} colorScheme={layout === 'column' ? 'invokeBlue' : 'base'}>
{t('workflows.builder.column')}
</Button>
</ButtonGroup>
</FormControl>
</PopoverBody>
</PopoverContent>
<Portal>
<PopoverContent>
<PopoverArrow />
<PopoverBody>
<FormControl>
<FormLabel m={0}>{t('workflows.builder.layout')}</FormLabel>
<ButtonGroup variant="outline" size="sm">
<Button onClick={setLayoutToRow} colorScheme={layout === 'row' ? 'invokeBlue' : 'base'}>
{t('workflows.builder.row')}
</Button>
<Button onClick={setLayoutToColumn} colorScheme={layout === 'column' ? 'invokeBlue' : 'base'}>
{t('workflows.builder.column')}
</Button>
</ButtonGroup>
</FormControl>
</PopoverBody>
</PopoverContent>
</Portal>
</Popover>
);
});

View File

@@ -7,6 +7,7 @@ import {
PopoverBody,
PopoverContent,
PopoverTrigger,
Portal,
Switch,
} from '@invoke-ai/ui-library';
import { useAppDispatch } from 'app/store/storeHooks';
@@ -65,18 +66,20 @@ export const NodeFieldElementSettings = memo(({ element }: { element: NodeFieldE
<PopoverTrigger>
<IconButton aria-label="settings" icon={<PiWrenchFill />} variant="link" size="sm" alignSelf="stretch" />
</PopoverTrigger>
<PopoverContent>
<PopoverArrow />
<PopoverBody minW={48}>
<FormControl>
<FormLabel flex={1}>{t('workflows.builder.showDescription')}</FormLabel>
<Switch size="sm" isChecked={showDescription} onChange={toggleShowDescription} />
</FormControl>
{settings?.type === 'integer-field-config' && <NodeFieldElementIntegerConfig id={id} config={settings} />}
{settings?.type === 'float-field-config' && <NodeFieldElementFloatSettings id={id} config={settings} />}
{settings?.type === 'string-field-config' && <NodeFieldElementStringSettings id={id} config={settings} />}
</PopoverBody>
</PopoverContent>
<Portal>
<PopoverContent>
<PopoverArrow />
<PopoverBody minW={48}>
<FormControl>
<FormLabel flex={1}>{t('workflows.builder.showDescription')}</FormLabel>
<Switch size="sm" isChecked={showDescription} onChange={toggleShowDescription} />
</FormControl>
{settings?.type === 'integer-field-config' && <NodeFieldElementIntegerConfig id={id} config={settings} />}
{settings?.type === 'float-field-config' && <NodeFieldElementFloatSettings id={id} config={settings} />}
{settings?.type === 'string-field-config' && <NodeFieldElementStringSettings id={id} config={settings} />}
</PopoverBody>
</PopoverContent>
</Portal>
</Popover>
);
});

View File

@@ -1534,7 +1534,7 @@ export const getStringGeneratorDefaults = (type: StringGeneratorFieldValue['type
export const ImageGeneratorImagesFromBoardType = 'image_generator_images_from_board';
const zImageGeneratorImagesFromBoard = z.object({
type: z.literal(ImageGeneratorImagesFromBoardType).default(ImageGeneratorImagesFromBoardType),
board_id: z.string().trim().min(1).optional().default('none'),
board_id: z.string().trim().min(1).optional(),
category: z.union([z.literal('images'), z.literal('assets')]).default('images'),
});
export type ImageGeneratorImagesFromBoard = z.infer<typeof zImageGeneratorImagesFromBoard>;
@@ -1544,10 +1544,13 @@ const getImageGeneratorImagesFromBoardValues = async (
dispatch: AppDispatch
) => {
const { board_id, category } = generator;
if (!board_id) {
return EMPTY_ARRAY;
}
const req = dispatch(
boardsApi.endpoints.listAllImageNamesForBoard.initiate(
{
board_id: board_id ?? 'none',
board_id,
categories: category === 'images' ? IMAGE_CATEGORIES : ASSETS_CATEGORIES,
is_intermediate: false,
},

File diff suppressed because one or more lines are too long

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@@ -1 +1 @@
__version__ = "5.7.0rc2"
__version__ = "5.7.0"