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103 Commits

Author SHA1 Message Date
psychedelicious
ab4dec4aa6 chore(ui): lint 2025-06-16 19:02:01 +10:00
psychedelicious
3ae6714188 feat(ui): rework simple session initial state 2025-06-16 18:59:01 +10:00
psychedelicious
0b461fa8da fix(ui): invoke button tooltip on generate tab 2025-06-16 18:27:29 +10:00
psychedelicious
26a7e342c3 fix(ui): progress image fixes 2025-06-16 18:25:37 +10:00
psychedelicious
55e5f8be1b feat(ui): make autoswitch on/off
When the invocation cache is used, we might skip all progress images. This can prevent auto-switch-on-first-progress from working, as we don't get any of those events.

It's much easier to only support auto-switch on complete.
2025-06-16 17:41:47 +10:00
psychedelicious
5a65121247 feat(ui): refine ref images UI 2025-06-16 17:33:17 +10:00
psychedelicious
c2fe280c38 feat(ui): toggleable negative prompt 2025-06-16 17:03:19 +10:00
psychedelicious
e7dee83dad fix(ui): remove old isSelected from refImageAdded call 2025-06-16 16:34:29 +10:00
psychedelicious
3bf08b6d88 chore: bump version to v6.0.0a2 2025-06-13 21:22:30 +10:00
psychedelicious
f821bc30a0 fix(ui): update queue item preview images on init of queue items context 2025-06-13 17:07:50 +10:00
psychedelicious
bc6f493931 fix(ui): hack to close chakra tooltips on drag 2025-06-13 17:07:42 +10:00
psychedelicious
fa332d1a56 tweak(ui): ref image header 2025-06-13 15:39:57 +10:00
psychedelicious
4452ddf6c6 experiment(ui): add generate tab 2025-06-13 15:38:53 +10:00
psychedelicious
5dec79fde5 refactor(ui): ref images (WIP) 2025-06-13 15:19:02 +10:00
psychedelicious
df833d7563 refactor(ui): ref images (WIP) 2025-06-13 13:08:03 +10:00
psychedelicious
c2556f99bc refactor(ui): refImage.ipAdapter -> refImage.config 2025-06-13 12:22:02 +10:00
psychedelicious
391b883a87 feat(ui): split out ref images into own slice (WIP) 2025-06-12 17:18:06 +10:00
psychedelicious
9a06ffe3f5 feat(ui): simple session initial state cards are buttons 2025-06-11 12:47:46 +10:00
psychedelicious
548273643e chore(ui): dpdm 2025-06-11 12:34:01 +10:00
psychedelicious
d158027565 refactor(ui): async modal pattern; use for deleting images
This was needed for a canvas flow change which is currently paused, but the new API is much much nicer to use, so I am keeping it.
2025-06-11 12:34:01 +10:00
psychedelicious
419773cde0 fix(ui): use imageDTO in staging area 2025-06-11 12:34:01 +10:00
psychedelicious
e64075b913 fix(ui): wait until last queue item deleted before flagging canvas session finished 2025-06-11 12:34:01 +10:00
psychedelicious
c9e48fc195 feat(ui): store output image DTO in session context instead of just the name 2025-06-11 12:34:01 +10:00
psychedelicious
67b11d3e0c feat(ui): add AppGetState type 2025-06-11 12:34:01 +10:00
psychedelicious
b782d8c7cd chore: bump version to v6.0.0a1 2025-06-11 12:34:01 +10:00
psychedelicious
d34256b788 feat(ui): close viewer on escape 2025-06-11 12:33:48 +10:00
psychedelicious
4c9553af51 fix(ui): switch only on first progress image 2025-06-11 12:33:48 +10:00
psychedelicious
dbe7fbea2e feat(ui): add on first progress autoswitch mode 2025-06-11 12:33:48 +10:00
psychedelicious
10ba402437 feat(ui): move canvas-specific staging subscriptions to CanvasStagingAreaModule 2025-06-11 12:33:48 +10:00
psychedelicious
25c67f0c68 chore(ui): lint 2025-06-11 12:33:48 +10:00
psychedelicious
144485aa0b feat(ui): make main panel styling and title consistent 2025-06-11 12:33:48 +10:00
psychedelicious
b4c10509f5 feat(ui): add startover button to canvas toolbar 2025-06-11 12:33:48 +10:00
psychedelicious
1cd4e23072 feat(ui): fiddle w/ staging area header 2025-06-11 12:33:48 +10:00
psychedelicious
8f23c4513d feat(ui): remove technical progress message from full preview 2025-06-11 12:33:48 +10:00
psychedelicious
a430872e60 feat(ui): simple session initial state 2025-06-11 12:33:48 +10:00
psychedelicious
af838e8ebb feat(ui): remove vary and edit as control buttons 2025-06-11 12:33:48 +10:00
psychedelicious
7f5fdcd54c refactor(ui): migrate from canceling queue items to deleteing, make queue hook APIs consistent 2025-06-11 12:33:48 +10:00
psychedelicious
ba5fd32f20 fix(ui): mini preview bg color 2025-06-11 12:33:47 +10:00
psychedelicious
9f3d09dc01 fix(ui): hide layers when not on canvas tab 2025-06-11 12:33:47 +10:00
psychedelicious
081942b72e build(ui): temporarily ignore all knip issues 2025-06-11 12:33:47 +10:00
psychedelicious
2b54b32740 feat(ui): finish generation when discarding last item 2025-06-11 12:33:47 +10:00
psychedelicious
1145d67d0d feat(ui): when discarding last item, select new last instead of first 2025-06-11 12:33:47 +10:00
psychedelicious
3d0dd13d8c feat(ui): tweak staging image display 2025-06-11 12:33:47 +10:00
psychedelicious
efb28d55a2 feat(ui): add staging area toolbar to simple session 2025-06-11 12:33:47 +10:00
psychedelicious
e41050359f fix(ui): ensure canvas tool modules are destroyed 2025-06-11 12:33:47 +10:00
psychedelicious
667ed6ab09 fix(ui): reset layers when changing session type 2025-06-11 12:33:47 +10:00
psychedelicious
f5ad063253 feat(ui): improved staging placeholders 2025-06-11 12:33:47 +10:00
psychedelicious
ef2324d72a feat(ui): improved staging placeholders 2025-06-11 12:33:47 +10:00
psychedelicious
26a01d544f feat(ui): more staging fixes 2025-06-11 12:33:46 +10:00
psychedelicious
1f5572cf75 feat(ui): update canvas session state handling for new staging strat 2025-06-11 12:33:46 +10:00
psychedelicious
ad137cdc33 chore(ui): lint (partial cleanup) 2025-06-11 12:33:46 +10:00
psychedelicious
250a834f44 feat(ui): rough out canvas staging area 2025-06-11 12:33:46 +10:00
psychedelicious
0cb3a7c654 feat(app): support deleting queue items by id or destination 2025-06-11 12:33:46 +10:00
psychedelicious
34460984a9 feat(ui): tweak canvas scroll to zoom feel 2025-06-11 12:33:46 +10:00
psychedelicious
4d628c10db docs(ui): add comment about auto-switch not being quite right yet 2025-06-11 12:33:46 +10:00
psychedelicious
f240f1a5d0 feat: canvas flow rework (wip) 2025-06-11 12:33:46 +10:00
psychedelicious
88d2878a11 feat(ui): prevent flicker of image action buttons 2025-06-11 12:33:46 +10:00
psychedelicious
0df8ab51ee feat(ui): move socket events handling into ctx component 2025-06-11 12:33:46 +10:00
psychedelicious
f66f2b3c71 feat(ui): modularize all staging area logic so it can be shared w/ canvas more easily 2025-06-11 12:33:46 +10:00
psychedelicious
f9366ffeff perf(ui): queue actions menu is lazy 2025-06-11 12:33:45 +10:00
psychedelicious
d7fc9604f2 fix(ui): cursor on staging area preview image 2025-06-11 12:33:45 +10:00
psychedelicious
cbda3f1c86 feat(ui): remove clear queue ui components 2025-06-11 12:33:45 +10:00
psychedelicious
973b2a9b45 feat(app): do not prune queue on startup
With the new canvas design, this will result in loss of staging area images.
2025-06-11 12:33:45 +10:00
psychedelicious
5bea0cd431 tidy(ui): component organization 2025-06-11 12:33:45 +10:00
psychedelicious
7a01278537 fix(ui): prevent drag of progress images 2025-06-11 12:33:45 +10:00
psychedelicious
ea42d08bc2 feat: canvas flow rework (wip) 2025-06-11 12:33:45 +10:00
psychedelicious
4d3089f870 feat: canvas flow rework (wip) 2025-06-11 12:33:45 +10:00
psychedelicious
ebd88f59ad chore(ui): typegen 2025-06-11 12:33:45 +10:00
psychedelicious
cce66d90cc feat(api): remove status from list all queue items query 2025-06-11 12:33:45 +10:00
psychedelicious
67c1f900bb tidy(ui): app layout components 2025-06-11 12:33:44 +10:00
psychedelicious
8df45ce671 feat: canvas flow rework (wip) 2025-06-11 12:33:44 +10:00
psychedelicious
cc411fd244 feat: canvas flow rework (wip) 2025-06-11 12:33:44 +10:00
psychedelicious
eae40cae2b feat: canvas flow rework (wip) 2025-06-11 12:33:44 +10:00
psychedelicious
1e739dc003 fix(ui): unstable selector results in lora drop down 2025-06-11 12:33:44 +10:00
psychedelicious
ea63e16b69 feat: canvas flow rework (wip) 2025-06-11 12:33:44 +10:00
psychedelicious
6923a23f31 feat: canvas flow rework (wip) 2025-06-11 12:33:44 +10:00
psychedelicious
cb0e6da5cf wip progress events 2025-06-11 12:33:44 +10:00
psychedelicious
ae35d67c9a refactor(ui): canvas flow (wip) 2025-06-11 12:33:44 +10:00
psychedelicious
7174768152 fix(ui): ref goes undefined in GalleryImage
This appears to be a bug in Chakra UI v2 - use of a fallback component makes the ref passed to an image end up undefined. Had to remove the skeleton loader fallback component.
2025-06-11 12:33:44 +10:00
psychedelicious
d750a2c6c0 fix(ui): merge refs when forwardingin DndImage 2025-06-11 12:33:44 +10:00
psychedelicious
41eafcf47a fix(ui): remove unused sessionId field from type 2025-06-11 12:33:44 +10:00
psychedelicious
4bcb24eb82 fix(ui): ensure all args are passed to handler when creating new canvas from image 2025-06-11 12:33:43 +10:00
psychedelicious
926c29b91d feat(ui): bookmark new inpaint masks 2025-06-11 12:33:43 +10:00
psychedelicious
8dad22ef93 feat(ui): support bookmarking an entity when adding it 2025-06-11 12:33:43 +10:00
psychedelicious
172142ce03 fix(ui): ensure images are added to gallery in simple sessions 2025-06-11 12:33:43 +10:00
psychedelicious
dc31eaa3f9 feat(ui): images always added to gallery in simple session 2025-06-11 12:33:43 +10:00
psychedelicious
19371d70fe wip 2025-06-11 12:33:43 +10:00
psychedelicious
d8d69891c8 refactor(ui): canvas flow (wip) 2025-06-11 12:33:43 +10:00
psychedelicious
168875327b refactor(ui): canvas flow (wip) 2025-06-11 12:33:43 +10:00
psychedelicious
c7fb3d3906 refactor(ui): canvas flow events (wip) 2025-06-11 12:33:43 +10:00
psychedelicious
5aa5ca13ec refactor(ui): canvas flow (wip) 2025-06-11 12:33:43 +10:00
psychedelicious
eb9edff186 refactor(ui): canvas flow (wip) 2025-06-11 12:33:43 +10:00
psychedelicious
839c2e376a refactor(ui): canvas flow (wip) 2025-06-11 12:33:43 +10:00
psychedelicious
1ba3e85e68 refactor(ui): canvas flow (wip) 2025-06-11 12:33:42 +10:00
psychedelicious
28ee1d911a fix(ui): circular import issue 2025-06-11 12:33:42 +10:00
psychedelicious
74a2cb7b77 refactor(ui): params state zodification 2025-06-11 12:33:42 +10:00
psychedelicious
e139158a81 refactor(ui): move params state to big file of canvas zod stuff 2025-06-11 12:33:42 +10:00
psychedelicious
2b383de39c refactor(ui): zod-ify params slice state 2025-06-11 12:33:42 +10:00
psychedelicious
dd136a63a2 refactor(ui): org state in prep for new flow 2025-06-11 12:33:42 +10:00
psychedelicious
325f0a4c5b refactor(ui): image viewer & comparison convolutedness 2025-06-11 12:33:42 +10:00
psychedelicious
7b5ab0d458 feat(ui): default canvas tool is move 2025-06-11 12:33:42 +10:00
psychedelicious
4fa69176cb chore(ui): bump @reduxjs/toolkit to latest 2025-06-11 12:33:42 +10:00
psychedelicious
1418b0546c feat(ui): viewer is a modal (wip) 2025-06-11 12:33:42 +10:00
393 changed files with 5659 additions and 9760 deletions

1
.gitignore vendored
View File

@@ -180,7 +180,6 @@ cython_debug/
# Scratch folder
.scratch/
.vscode/
.zed/
# source installer files
installer/*zip

View File

@@ -297,7 +297,7 @@ Migration logic is in [migrations.ts].
<!-- links -->
[pydantic]: https://github.com/pydantic/pydantic 'pydantic'
[zod]: https://github.com/colinhacks/zod 'zod/v4'
[zod]: https://github.com/colinhacks/zod 'zod'
[openapi-types]: https://github.com/kogosoftwarellc/open-api/tree/main/packages/openapi-types 'openapi-types'
[reactflow]: https://github.com/xyflow/xyflow 'reactflow'
[reactflow-concepts]: https://reactflow.dev/learn/concepts/terms-and-definitions

View File

@@ -1,12 +1,21 @@
from fastapi import Body, HTTPException
from fastapi.routing import APIRouter
from pydantic import BaseModel, Field
from invokeai.app.api.dependencies import ApiDependencies
from invokeai.app.services.images.images_common import AddImagesToBoardResult, RemoveImagesFromBoardResult
board_images_router = APIRouter(prefix="/v1/board_images", tags=["boards"])
class AddImagesToBoardResult(BaseModel):
board_id: str = Field(description="The id of the board the images were added to")
added_image_names: list[str] = Field(description="The image names that were added to the board")
class RemoveImagesFromBoardResult(BaseModel):
removed_image_names: list[str] = Field(description="The image names that were removed from their board")
@board_images_router.post(
"/",
operation_id="add_image_to_board",
@@ -14,26 +23,17 @@ board_images_router = APIRouter(prefix="/v1/board_images", tags=["boards"])
201: {"description": "The image was added to a board successfully"},
},
status_code=201,
response_model=AddImagesToBoardResult,
)
async def add_image_to_board(
board_id: str = Body(description="The id of the board to add to"),
image_name: str = Body(description="The name of the image to add"),
) -> AddImagesToBoardResult:
):
"""Creates a board_image"""
try:
added_images: set[str] = set()
affected_boards: set[str] = set()
old_board_id = ApiDependencies.invoker.services.images.get_dto(image_name).board_id or "none"
ApiDependencies.invoker.services.board_images.add_image_to_board(board_id=board_id, image_name=image_name)
added_images.add(image_name)
affected_boards.add(board_id)
affected_boards.add(old_board_id)
return AddImagesToBoardResult(
added_images=list(added_images),
affected_boards=list(affected_boards),
result = ApiDependencies.invoker.services.board_images.add_image_to_board(
board_id=board_id, image_name=image_name
)
return result
except Exception:
raise HTTPException(status_code=500, detail="Failed to add image to board")
@@ -45,25 +45,14 @@ async def add_image_to_board(
201: {"description": "The image was removed from the board successfully"},
},
status_code=201,
response_model=RemoveImagesFromBoardResult,
)
async def remove_image_from_board(
image_name: str = Body(description="The name of the image to remove", embed=True),
) -> RemoveImagesFromBoardResult:
):
"""Removes an image from its board, if it had one"""
try:
removed_images: set[str] = set()
affected_boards: set[str] = set()
old_board_id = ApiDependencies.invoker.services.images.get_dto(image_name).board_id or "none"
ApiDependencies.invoker.services.board_images.remove_image_from_board(image_name=image_name)
removed_images.add(image_name)
affected_boards.add("none")
affected_boards.add(old_board_id)
return RemoveImagesFromBoardResult(
removed_images=list(removed_images),
affected_boards=list(affected_boards),
)
result = ApiDependencies.invoker.services.board_images.remove_image_from_board(image_name=image_name)
return result
except Exception:
raise HTTPException(status_code=500, detail="Failed to remove image from board")
@@ -83,25 +72,16 @@ async def add_images_to_board(
) -> AddImagesToBoardResult:
"""Adds a list of images to a board"""
try:
added_images: set[str] = set()
affected_boards: set[str] = set()
added_image_names: list[str] = []
for image_name in image_names:
try:
old_board_id = ApiDependencies.invoker.services.images.get_dto(image_name).board_id or "none"
ApiDependencies.invoker.services.board_images.add_image_to_board(
board_id=board_id,
image_name=image_name,
board_id=board_id, image_name=image_name
)
added_images.add(image_name)
affected_boards.add(board_id)
affected_boards.add(old_board_id)
added_image_names.append(image_name)
except Exception:
pass
return AddImagesToBoardResult(
added_images=list(added_images),
affected_boards=list(affected_boards),
)
return AddImagesToBoardResult(board_id=board_id, added_image_names=added_image_names)
except Exception:
raise HTTPException(status_code=500, detail="Failed to add images to board")
@@ -120,20 +100,13 @@ async def remove_images_from_board(
) -> RemoveImagesFromBoardResult:
"""Removes a list of images from their board, if they had one"""
try:
removed_images: set[str] = set()
affected_boards: set[str] = set()
removed_image_names: list[str] = []
for image_name in image_names:
try:
old_board_id = ApiDependencies.invoker.services.images.get_dto(image_name).board_id or "none"
ApiDependencies.invoker.services.board_images.remove_image_from_board(image_name=image_name)
removed_images.add(image_name)
affected_boards.add("none")
affected_boards.add(old_board_id)
removed_image_names.append(image_name)
except Exception:
pass
return RemoveImagesFromBoardResult(
removed_images=list(removed_images),
affected_boards=list(affected_boards),
)
return RemoveImagesFromBoardResult(removed_image_names=removed_image_names)
except Exception:
raise HTTPException(status_code=500, detail="Failed to remove images from board")

View File

@@ -14,17 +14,10 @@ from invokeai.app.api.extract_metadata_from_image import extract_metadata_from_i
from invokeai.app.invocations.fields import MetadataField
from invokeai.app.services.image_records.image_records_common import (
ImageCategory,
ImageNamesResult,
ImageRecordChanges,
ResourceOrigin,
)
from invokeai.app.services.images.images_common import (
DeleteImagesResult,
ImageDTO,
ImageUrlsDTO,
StarredImagesResult,
UnstarredImagesResult,
)
from invokeai.app.services.images.images_common import ImageDTO, ImageUrlsDTO
from invokeai.app.services.shared.pagination import OffsetPaginatedResults
from invokeai.app.services.shared.sqlite.sqlite_common import SQLiteDirection
from invokeai.app.util.controlnet_utils import heuristic_resize_fast
@@ -160,30 +153,18 @@ async def create_image_upload_entry(
raise HTTPException(status_code=501, detail="Not implemented")
@images_router.delete("/i/{image_name}", operation_id="delete_image", response_model=DeleteImagesResult)
@images_router.delete("/i/{image_name}", operation_id="delete_image")
async def delete_image(
image_name: str = Path(description="The name of the image to delete"),
) -> DeleteImagesResult:
) -> None:
"""Deletes an image"""
deleted_images: set[str] = set()
affected_boards: set[str] = set()
try:
image_dto = ApiDependencies.invoker.services.images.get_dto(image_name)
board_id = image_dto.board_id or "none"
ApiDependencies.invoker.services.images.delete(image_name)
deleted_images.add(image_name)
affected_boards.add(board_id)
except Exception:
# TODO: Does this need any exception handling at all?
pass
return DeleteImagesResult(
deleted_images=list(deleted_images),
affected_boards=list(affected_boards),
)
@images_router.delete("/intermediates", operation_id="clear_intermediates")
async def clear_intermediates() -> int:
@@ -395,32 +376,31 @@ async def list_image_dtos(
return image_dtos
@images_router.post("/delete", operation_id="delete_images_from_list", response_model=DeleteImagesResult)
class DeleteImagesFromListResult(BaseModel):
deleted_images: list[str]
@images_router.post("/delete", operation_id="delete_images_from_list", response_model=DeleteImagesFromListResult)
async def delete_images_from_list(
image_names: list[str] = Body(description="The list of names of images to delete", embed=True),
) -> DeleteImagesResult:
) -> DeleteImagesFromListResult:
try:
deleted_images: set[str] = set()
affected_boards: set[str] = set()
deleted_images: list[str] = []
for image_name in image_names:
try:
image_dto = ApiDependencies.invoker.services.images.get_dto(image_name)
board_id = image_dto.board_id or "none"
ApiDependencies.invoker.services.images.delete(image_name)
deleted_images.add(image_name)
affected_boards.add(board_id)
deleted_images.append(image_name)
except Exception:
pass
return DeleteImagesResult(
deleted_images=list(deleted_images),
affected_boards=list(affected_boards),
)
return DeleteImagesFromListResult(deleted_images=deleted_images)
except Exception:
raise HTTPException(status_code=500, detail="Failed to delete images")
@images_router.delete("/uncategorized", operation_id="delete_uncategorized_images", response_model=DeleteImagesResult)
async def delete_uncategorized_images() -> DeleteImagesResult:
@images_router.delete(
"/uncategorized", operation_id="delete_uncategorized_images", response_model=DeleteImagesFromListResult
)
async def delete_uncategorized_images() -> DeleteImagesFromListResult:
"""Deletes all images that are uncategorized"""
image_names = ApiDependencies.invoker.services.board_images.get_all_board_image_names_for_board(
@@ -428,19 +408,14 @@ async def delete_uncategorized_images() -> DeleteImagesResult:
)
try:
deleted_images: set[str] = set()
affected_boards: set[str] = set()
deleted_images: list[str] = []
for image_name in image_names:
try:
ApiDependencies.invoker.services.images.delete(image_name)
deleted_images.add(image_name)
affected_boards.add("none")
deleted_images.append(image_name)
except Exception:
pass
return DeleteImagesResult(
deleted_images=list(deleted_images),
affected_boards=list(affected_boards),
)
return DeleteImagesFromListResult(deleted_images=deleted_images)
except Exception:
raise HTTPException(status_code=500, detail="Failed to delete images")
@@ -449,50 +424,36 @@ class ImagesUpdatedFromListResult(BaseModel):
updated_image_names: list[str] = Field(description="The image names that were updated")
@images_router.post("/star", operation_id="star_images_in_list", response_model=StarredImagesResult)
@images_router.post("/star", operation_id="star_images_in_list", response_model=ImagesUpdatedFromListResult)
async def star_images_in_list(
image_names: list[str] = Body(description="The list of names of images to star", embed=True),
) -> StarredImagesResult:
) -> ImagesUpdatedFromListResult:
try:
starred_images: set[str] = set()
affected_boards: set[str] = set()
updated_image_names: list[str] = []
for image_name in image_names:
try:
updated_image_dto = ApiDependencies.invoker.services.images.update(
image_name, changes=ImageRecordChanges(starred=True)
)
starred_images.add(image_name)
affected_boards.add(updated_image_dto.board_id or "none")
ApiDependencies.invoker.services.images.update(image_name, changes=ImageRecordChanges(starred=True))
updated_image_names.append(image_name)
except Exception:
pass
return StarredImagesResult(
starred_images=list(starred_images),
affected_boards=list(affected_boards),
)
return ImagesUpdatedFromListResult(updated_image_names=updated_image_names)
except Exception:
raise HTTPException(status_code=500, detail="Failed to star images")
@images_router.post("/unstar", operation_id="unstar_images_in_list", response_model=UnstarredImagesResult)
@images_router.post("/unstar", operation_id="unstar_images_in_list", response_model=ImagesUpdatedFromListResult)
async def unstar_images_in_list(
image_names: list[str] = Body(description="The list of names of images to unstar", embed=True),
) -> UnstarredImagesResult:
) -> ImagesUpdatedFromListResult:
try:
unstarred_images: set[str] = set()
affected_boards: set[str] = set()
updated_image_names: list[str] = []
for image_name in image_names:
try:
updated_image_dto = ApiDependencies.invoker.services.images.update(
image_name, changes=ImageRecordChanges(starred=False)
)
unstarred_images.add(image_name)
affected_boards.add(updated_image_dto.board_id or "none")
ApiDependencies.invoker.services.images.update(image_name, changes=ImageRecordChanges(starred=False))
updated_image_names.append(image_name)
except Exception:
pass
return UnstarredImagesResult(
unstarred_images=list(unstarred_images),
affected_boards=list(affected_boards),
)
return ImagesUpdatedFromListResult(updated_image_names=updated_image_names)
except Exception:
raise HTTPException(status_code=500, detail="Failed to unstar images")
@@ -563,61 +524,3 @@ async def get_bulk_download_item(
return response
except Exception:
raise HTTPException(status_code=404)
@images_router.get("/names", operation_id="get_image_names")
async def get_image_names(
image_origin: Optional[ResourceOrigin] = Query(default=None, description="The origin of images to list."),
categories: Optional[list[ImageCategory]] = Query(default=None, description="The categories of image to include."),
is_intermediate: Optional[bool] = Query(default=None, description="Whether to list intermediate images."),
board_id: Optional[str] = Query(
default=None,
description="The board id to filter by. Use 'none' to find images without a board.",
),
order_dir: SQLiteDirection = Query(default=SQLiteDirection.Descending, description="The order of sort"),
starred_first: bool = Query(default=True, description="Whether to sort by starred images first"),
search_term: Optional[str] = Query(default=None, description="The term to search for"),
) -> ImageNamesResult:
"""Gets ordered list of image names with metadata for optimistic updates"""
try:
result = ApiDependencies.invoker.services.images.get_image_names(
starred_first=starred_first,
order_dir=order_dir,
image_origin=image_origin,
categories=categories,
is_intermediate=is_intermediate,
board_id=board_id,
search_term=search_term,
)
return result
except Exception:
raise HTTPException(status_code=500, detail="Failed to get image names")
@images_router.post(
"/images_by_names",
operation_id="get_images_by_names",
responses={200: {"model": list[ImageDTO]}},
)
async def get_images_by_names(
image_names: list[str] = Body(embed=True, description="Object containing list of image names to fetch DTOs for"),
) -> list[ImageDTO]:
"""Gets image DTOs for the specified image names. Maintains order of input names."""
try:
image_service = ApiDependencies.invoker.services.images
# Fetch DTOs preserving the order of requested names
image_dtos: list[ImageDTO] = []
for name in image_names:
try:
dto = image_service.get_dto(name)
image_dtos.append(dto)
except Exception:
# Skip missing images - they may have been deleted between name fetch and DTO fetch
continue
return image_dtos
except Exception:
raise HTTPException(status_code=500, detail="Failed to get image DTOs")

View File

@@ -158,7 +158,7 @@ web_root_path = Path(list(web_dir.__path__)[0])
try:
app.mount("/", NoCacheStaticFiles(directory=Path(web_root_path, "dist"), html=True), name="ui")
except RuntimeError:
logger.warning(f"No UI found at {web_root_path}/dist, skipping UI mount")
logger.warn(f"No UI found at {web_root_path}/dist, skipping UI mount")
app.mount(
"/static", NoCacheStaticFiles(directory=Path(web_root_path, "static/")), name="static"
) # docs favicon is in here

View File

@@ -499,7 +499,7 @@ def validate_fields(model_fields: dict[str, FieldInfo], model_type: str) -> None
ui_type = field.json_schema_extra.get("ui_type", None)
if isinstance(ui_type, str) and ui_type.startswith("DEPRECATED_"):
logger.warning(f'"UIType.{ui_type.split("_")[-1]}" is deprecated, ignoring')
logger.warn(f'"UIType.{ui_type.split("_")[-1]}" is deprecated, ignoring')
field.json_schema_extra.pop("ui_type")
return None
@@ -582,8 +582,6 @@ def invocation(
fields: dict[str, tuple[Any, FieldInfo]] = {}
original_model_fields: dict[str, OriginalModelField] = {}
for field_name, field_info in cls.model_fields.items():
annotation = field_info.annotation
assert annotation is not None, f"{field_name} on invocation {invocation_type} has no type annotation."
@@ -591,7 +589,7 @@ def invocation(
f"{field_name} on invocation {invocation_type} has a non-dict json_schema_extra, did you forget to use InputField?"
)
original_model_fields[field_name] = OriginalModelField(annotation=annotation, field_info=field_info)
cls._original_model_fields[field_name] = OriginalModelField(annotation=annotation, field_info=field_info)
validate_field_default(cls.__name__, field_name, invocation_type, annotation, field_info)
@@ -615,7 +613,7 @@ def invocation(
raise InvalidVersionError(f'Invalid version string for node "{invocation_type}": "{version}"') from e
uiconfig["version"] = version
else:
logger.warning(f'No version specified for node "{invocation_type}", using "1.0.0"')
logger.warn(f'No version specified for node "{invocation_type}", using "1.0.0"')
uiconfig["version"] = "1.0.0"
cls.UIConfig = UIConfigBase(**uiconfig)
@@ -678,7 +676,6 @@ def invocation(
docstring = cls.__doc__
new_class = create_model(cls.__qualname__, __base__=cls, __module__=cls.__module__, **fields) # type: ignore
new_class.__doc__ = docstring
new_class._original_model_fields = original_model_fields
InvocationRegistry.register_invocation(new_class)

View File

@@ -114,13 +114,6 @@ class CompelInvocation(BaseInvocation):
c, _options = compel.build_conditioning_tensor_for_conjunction(conjunction)
del compel
del patched_tokenizer
del tokenizer
del ti_manager
del text_encoder
del text_encoder_info
c = c.detach().to("cpu")
conditioning_data = ConditioningFieldData(conditionings=[BasicConditioningInfo(embeds=c)])
@@ -229,10 +222,7 @@ class SDXLPromptInvocationBase:
else:
c_pooled = None
del compel
del patched_tokenizer
del tokenizer
del ti_manager
del text_encoder
del text_encoder_info

View File

@@ -64,7 +64,6 @@ class UIType(str, Enum, metaclass=MetaEnum):
Imagen3Model = "Imagen3ModelField"
Imagen4Model = "Imagen4ModelField"
ChatGPT4oModel = "ChatGPT4oModelField"
FluxKontextModel = "FluxKontextModelField"
# endregion
# region Misc Field Types
@@ -438,7 +437,7 @@ class WithWorkflow:
workflow = None
def __init_subclass__(cls) -> None:
logger.warning(
logger.warn(
f"{cls.__module__.split('.')[0]}.{cls.__name__}: WithWorkflow is deprecated. Use `context.workflow` to access the workflow."
)
super().__init_subclass__()
@@ -579,7 +578,7 @@ def InputField(
if default_factory is not _Unset and default_factory is not None:
default = default_factory()
logger.warning('"default_factory" is not supported, calling it now to set "default"')
logger.warn('"default_factory" is not supported, calling it now to set "default"')
# These are the args we may wish pass to the pydantic `Field()` function
field_args = {

View File

@@ -24,6 +24,7 @@ from invokeai.frontend.cli.arg_parser import InvokeAIArgs
INIT_FILE = Path("invokeai.yaml")
DB_FILE = Path("invokeai.db")
LEGACY_INIT_FILE = Path("invokeai.init")
DEVICE = Literal["auto", "cpu", "cuda", "cuda:1", "mps"]
PRECISION = Literal["auto", "float16", "bfloat16", "float32"]
ATTENTION_TYPE = Literal["auto", "normal", "xformers", "sliced", "torch-sdp"]
ATTENTION_SLICE_SIZE = Literal["auto", "balanced", "max", 1, 2, 3, 4, 5, 6, 7, 8]
@@ -92,7 +93,7 @@ class InvokeAIAppConfig(BaseSettings):
vram: DEPRECATED: This setting is no longer used. It has been replaced by `max_cache_vram_gb`, but most users will not need to use this config since automatic cache size limits should work well in most cases. This config setting will be removed once the new model cache behavior is stable.
lazy_offload: DEPRECATED: This setting is no longer used. Lazy-offloading is enabled by default. This config setting will be removed once the new model cache behavior is stable.
pytorch_cuda_alloc_conf: Configure the Torch CUDA memory allocator. This will impact peak reserved VRAM usage and performance. Setting to "backend:cudaMallocAsync" works well on many systems. The optimal configuration is highly dependent on the system configuration (device type, VRAM, CUDA driver version, etc.), so must be tuned experimentally.
device: Preferred execution device. `auto` will choose the device depending on the hardware platform and the installed torch capabilities.<br>Valid values: `auto`, `cpu`, `cuda`, `mps`, `cuda:N` (where N is a device number)
device: Preferred execution device. `auto` will choose the device depending on the hardware platform and the installed torch capabilities.<br>Valid values: `auto`, `cpu`, `cuda`, `cuda:1`, `mps`
precision: Floating point precision. `float16` will consume half the memory of `float32` but produce slightly lower-quality images. The `auto` setting will guess the proper precision based on your video card and operating system.<br>Valid values: `auto`, `float16`, `bfloat16`, `float32`
sequential_guidance: Whether to calculate guidance in serial instead of in parallel, lowering memory requirements.
attention_type: Attention type.<br>Valid values: `auto`, `normal`, `xformers`, `sliced`, `torch-sdp`
@@ -175,7 +176,7 @@ class InvokeAIAppConfig(BaseSettings):
pytorch_cuda_alloc_conf: Optional[str] = Field(default=None, description="Configure the Torch CUDA memory allocator. This will impact peak reserved VRAM usage and performance. Setting to \"backend:cudaMallocAsync\" works well on many systems. The optimal configuration is highly dependent on the system configuration (device type, VRAM, CUDA driver version, etc.), so must be tuned experimentally.")
# DEVICE
device: str = Field(default="auto", description="Preferred execution device. `auto` will choose the device depending on the hardware platform and the installed torch capabilities.<br>Valid values: `auto`, `cpu`, `cuda`, `mps`, `cuda:N` (where N is a device number)", pattern=r"^(auto|cpu|mps|cuda(:\d+)?)$")
device: DEVICE = Field(default="auto", description="Preferred execution device. `auto` will choose the device depending on the hardware platform and the installed torch capabilities.")
precision: PRECISION = Field(default="auto", description="Floating point precision. `float16` will consume half the memory of `float32` but produce slightly lower-quality images. The `auto` setting will guess the proper precision based on your video card and operating system.")
# GENERATION

View File

@@ -5,7 +5,6 @@ from typing import Optional
from invokeai.app.invocations.fields import MetadataField
from invokeai.app.services.image_records.image_records_common import (
ImageCategory,
ImageNamesResult,
ImageRecord,
ImageRecordChanges,
ResourceOrigin,
@@ -98,17 +97,3 @@ class ImageRecordStorageBase(ABC):
def get_most_recent_image_for_board(self, board_id: str) -> Optional[ImageRecord]:
"""Gets the most recent image for a board."""
pass
@abstractmethod
def get_image_names(
self,
starred_first: bool = True,
order_dir: SQLiteDirection = SQLiteDirection.Descending,
image_origin: Optional[ResourceOrigin] = None,
categories: Optional[list[ImageCategory]] = None,
is_intermediate: Optional[bool] = None,
board_id: Optional[str] = None,
search_term: Optional[str] = None,
) -> ImageNamesResult:
"""Gets ordered list of image names with metadata for optimistic updates."""
pass

View File

@@ -3,7 +3,7 @@ import datetime
from enum import Enum
from typing import Optional, Union
from pydantic import BaseModel, Field, StrictBool, StrictStr
from pydantic import Field, StrictBool, StrictStr
from invokeai.app.util.metaenum import MetaEnum
from invokeai.app.util.misc import get_iso_timestamp
@@ -207,16 +207,3 @@ def deserialize_image_record(image_dict: dict) -> ImageRecord:
starred=starred,
has_workflow=has_workflow,
)
class ImageCollectionCounts(BaseModel):
starred_count: int = Field(description="The number of starred images in the collection.")
unstarred_count: int = Field(description="The number of unstarred images in the collection.")
class ImageNamesResult(BaseModel):
"""Response containing ordered image names with metadata for optimistic updates."""
image_names: list[str] = Field(description="Ordered list of image names")
starred_count: int = Field(description="Number of starred images (when starred_first=True)")
total_count: int = Field(description="Total number of images matching the query")

View File

@@ -7,7 +7,6 @@ from invokeai.app.services.image_records.image_records_base import ImageRecordSt
from invokeai.app.services.image_records.image_records_common import (
IMAGE_DTO_COLS,
ImageCategory,
ImageNamesResult,
ImageRecord,
ImageRecordChanges,
ImageRecordDeleteException,
@@ -387,96 +386,3 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
return None
return deserialize_image_record(dict(result))
def get_image_names(
self,
starred_first: bool = True,
order_dir: SQLiteDirection = SQLiteDirection.Descending,
image_origin: Optional[ResourceOrigin] = None,
categories: Optional[list[ImageCategory]] = None,
is_intermediate: Optional[bool] = None,
board_id: Optional[str] = None,
search_term: Optional[str] = None,
) -> ImageNamesResult:
cursor = self._conn.cursor()
# Build query conditions (reused for both starred count and image names queries)
query_conditions = ""
query_params: list[Union[int, str, bool]] = []
if image_origin is not None:
query_conditions += """--sql
AND images.image_origin = ?
"""
query_params.append(image_origin.value)
if categories is not None:
category_strings = [c.value for c in set(categories)]
placeholders = ",".join("?" * len(category_strings))
query_conditions += f"""--sql
AND images.image_category IN ( {placeholders} )
"""
for c in category_strings:
query_params.append(c)
if is_intermediate is not None:
query_conditions += """--sql
AND images.is_intermediate = ?
"""
query_params.append(is_intermediate)
if board_id == "none":
query_conditions += """--sql
AND board_images.board_id IS NULL
"""
elif board_id is not None:
query_conditions += """--sql
AND board_images.board_id = ?
"""
query_params.append(board_id)
if search_term:
query_conditions += """--sql
AND (
images.metadata LIKE ?
OR images.created_at LIKE ?
)
"""
query_params.append(f"%{search_term.lower()}%")
query_params.append(f"%{search_term.lower()}%")
# Get starred count if starred_first is enabled
starred_count = 0
if starred_first:
starred_count_query = f"""--sql
SELECT COUNT(*)
FROM images
LEFT JOIN board_images ON board_images.image_name = images.image_name
WHERE images.starred = TRUE AND (1=1{query_conditions})
"""
cursor.execute(starred_count_query, query_params)
starred_count = cast(int, cursor.fetchone()[0])
# Get all image names with proper ordering
if starred_first:
names_query = f"""--sql
SELECT images.image_name
FROM images
LEFT JOIN board_images ON board_images.image_name = images.image_name
WHERE 1=1{query_conditions}
ORDER BY images.starred DESC, images.created_at {order_dir.value}
"""
else:
names_query = f"""--sql
SELECT images.image_name
FROM images
LEFT JOIN board_images ON board_images.image_name = images.image_name
WHERE 1=1{query_conditions}
ORDER BY images.created_at {order_dir.value}
"""
cursor.execute(names_query, query_params)
result = cast(list[sqlite3.Row], cursor.fetchall())
image_names = [row[0] for row in result]
return ImageNamesResult(image_names=image_names, starred_count=starred_count, total_count=len(image_names))

View File

@@ -6,7 +6,6 @@ from PIL.Image import Image as PILImageType
from invokeai.app.invocations.fields import MetadataField
from invokeai.app.services.image_records.image_records_common import (
ImageCategory,
ImageNamesResult,
ImageRecord,
ImageRecordChanges,
ResourceOrigin,
@@ -126,7 +125,7 @@ class ImageServiceABC(ABC):
board_id: Optional[str] = None,
search_term: Optional[str] = None,
) -> OffsetPaginatedResults[ImageDTO]:
"""Gets a paginated list of image DTOs with starred images first when starred_first=True."""
"""Gets a paginated list of image DTOs."""
pass
@abstractmethod
@@ -148,17 +147,3 @@ class ImageServiceABC(ABC):
def delete_images_on_board(self, board_id: str):
"""Deletes all images on a board."""
pass
@abstractmethod
def get_image_names(
self,
starred_first: bool = True,
order_dir: SQLiteDirection = SQLiteDirection.Descending,
image_origin: Optional[ResourceOrigin] = None,
categories: Optional[list[ImageCategory]] = None,
is_intermediate: Optional[bool] = None,
board_id: Optional[str] = None,
search_term: Optional[str] = None,
) -> ImageNamesResult:
"""Gets ordered list of image names with metadata for optimistic updates."""
pass

View File

@@ -1,6 +1,6 @@
from typing import Optional
from pydantic import BaseModel, Field
from pydantic import Field
from invokeai.app.services.image_records.image_records_common import ImageRecord
from invokeai.app.util.model_exclude_null import BaseModelExcludeNull
@@ -39,27 +39,3 @@ def image_record_to_dto(
thumbnail_url=thumbnail_url,
board_id=board_id,
)
class ResultWithAffectedBoards(BaseModel):
affected_boards: list[str] = Field(description="The ids of boards affected by the delete operation")
class DeleteImagesResult(ResultWithAffectedBoards):
deleted_images: list[str] = Field(description="The names of the images that were deleted")
class StarredImagesResult(ResultWithAffectedBoards):
starred_images: list[str] = Field(description="The names of the images that were starred")
class UnstarredImagesResult(ResultWithAffectedBoards):
unstarred_images: list[str] = Field(description="The names of the images that were unstarred")
class AddImagesToBoardResult(ResultWithAffectedBoards):
added_images: list[str] = Field(description="The image names that were added to the board")
class RemoveImagesFromBoardResult(ResultWithAffectedBoards):
removed_images: list[str] = Field(description="The image names that were removed from their board")

View File

@@ -10,7 +10,6 @@ from invokeai.app.services.image_files.image_files_common import (
)
from invokeai.app.services.image_records.image_records_common import (
ImageCategory,
ImageNamesResult,
ImageRecord,
ImageRecordChanges,
ImageRecordDeleteException,
@@ -79,7 +78,7 @@ class ImageService(ImageServiceABC):
board_id=board_id, image_name=image_name
)
except Exception as e:
self.__invoker.services.logger.warning(f"Failed to add image to board {board_id}: {str(e)}")
self.__invoker.services.logger.warn(f"Failed to add image to board {board_id}: {str(e)}")
self.__invoker.services.image_files.save(
image_name=image_name, image=image, metadata=metadata, workflow=workflow, graph=graph
)
@@ -310,27 +309,3 @@ class ImageService(ImageServiceABC):
except Exception as e:
self.__invoker.services.logger.error("Problem getting intermediates count")
raise e
def get_image_names(
self,
starred_first: bool = True,
order_dir: SQLiteDirection = SQLiteDirection.Descending,
image_origin: Optional[ResourceOrigin] = None,
categories: Optional[list[ImageCategory]] = None,
is_intermediate: Optional[bool] = None,
board_id: Optional[str] = None,
search_term: Optional[str] = None,
) -> ImageNamesResult:
try:
return self.__invoker.services.image_records.get_image_names(
starred_first=starred_first,
order_dir=order_dir,
image_origin=image_origin,
categories=categories,
is_intermediate=is_intermediate,
board_id=board_id,
search_term=search_term,
)
except Exception as e:
self.__invoker.services.logger.error("Problem getting image names")
raise e

View File

@@ -148,7 +148,7 @@ class ModelInstallService(ModelInstallServiceBase):
def _clear_pending_jobs(self) -> None:
for job in self.list_jobs():
if not job.in_terminal_state:
self._logger.warning(f"Cancelling job {job.id}")
self._logger.warning("Cancelling job {job.id}")
self.cancel_job(job)
while True:
try:

View File

@@ -1,4 +1,3 @@
import gc
import traceback
from contextlib import suppress
from threading import BoundedSemaphore, Thread
@@ -440,12 +439,6 @@ class DefaultSessionProcessor(SessionProcessorBase):
poll_now_event.wait(self._polling_interval)
continue
# GC-ing here can reduce peak memory usage of the invoke process by freeing allocated memory blocks.
# Most queue items take seconds to execute, so the relative cost of a GC is very small.
# Python will never cede allocated memory back to the OS, so anything we can do to reduce the peak
# allocation is well worth it.
gc.collect()
self._invoker.services.logger.info(
f"Executing queue item {self._queue_item.item_id}, session {self._queue_item.session_id}"
)

View File

@@ -205,7 +205,6 @@ class FieldIdentifier(BaseModel):
kind: Literal["input", "output"] = Field(description="The kind of field")
node_id: str = Field(description="The ID of the node")
field_name: str = Field(description="The name of the field")
user_label: str | None = Field(description="The user label of the field, if any")
class SessionQueueItem(BaseModel):

View File

@@ -101,7 +101,11 @@ class SqliteSessionQueue(SessionQueueBase):
return cast(Union[int, None], cursor.fetchone()[0]) or 0
async def enqueue_batch(self, queue_id: str, batch: Batch, prepend: bool) -> EnqueueBatchResult:
return await asyncio.to_thread(self._enqueue_batch, queue_id, batch, prepend)
def _enqueue_batch(self, queue_id: str, batch: Batch, prepend: bool) -> EnqueueBatchResult:
try:
cursor = self._conn.cursor()
# TODO: how does this work in a multi-user scenario?
current_queue_size = self._get_current_queue_size(queue_id)
max_queue_size = self.__invoker.services.configuration.max_queue_size
@@ -111,12 +115,8 @@ class SqliteSessionQueue(SessionQueueBase):
if prepend:
priority = self._get_highest_priority(queue_id) + 1
requested_count = await asyncio.to_thread(
calc_session_count,
batch=batch,
)
values_to_insert = await asyncio.to_thread(
prepare_values_to_insert,
requested_count = calc_session_count(batch)
values_to_insert = prepare_values_to_insert(
queue_id=queue_id,
batch=batch,
priority=priority,
@@ -124,16 +124,19 @@ class SqliteSessionQueue(SessionQueueBase):
)
enqueued_count = len(values_to_insert)
with self._conn:
cursor = self._conn.cursor()
cursor.executemany(
"""--sql
INSERT INTO session_queue (queue_id, session, session_id, batch_id, field_values, priority, workflow, origin, destination, retried_from_item_id)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
""",
values_to_insert,
)
if requested_count > enqueued_count:
values_to_insert = values_to_insert[:max_new_queue_items]
cursor.executemany(
"""--sql
INSERT INTO session_queue (queue_id, session, session_id, batch_id, field_values, priority, workflow, origin, destination, retried_from_item_id)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
""",
values_to_insert,
)
self._conn.commit()
except Exception:
self._conn.rollback()
raise
enqueue_result = EnqueueBatchResult(
queue_id=queue_id,

View File

@@ -37,7 +37,6 @@ from invokeai.app.util.misc import uuid_string
from invokeai.backend.model_hash.hash_validator import validate_hash
from invokeai.backend.model_hash.model_hash import HASHING_ALGORITHMS
from invokeai.backend.model_manager.model_on_disk import ModelOnDisk
from invokeai.backend.model_manager.omi import flux_dev_1_lora, stable_diffusion_xl_1_lora
from invokeai.backend.model_manager.taxonomy import (
AnyVariant,
BaseModelType,
@@ -297,7 +296,7 @@ class LoRAConfigBase(ABC, BaseModel):
from invokeai.backend.patches.lora_conversions.formats import flux_format_from_state_dict
sd = mod.load_state_dict(mod.path)
value = flux_format_from_state_dict(sd, mod.metadata())
value = flux_format_from_state_dict(sd)
mod.cache[key] = value
return value
@@ -335,36 +334,6 @@ class T5EncoderBnbQuantizedLlmInt8bConfig(T5EncoderConfigBase, LegacyProbeMixin,
format: Literal[ModelFormat.BnbQuantizedLlmInt8b] = ModelFormat.BnbQuantizedLlmInt8b
class LoRAOmiConfig(LoRAConfigBase, ModelConfigBase):
format: Literal[ModelFormat.OMI] = ModelFormat.OMI
@classmethod
def matches(cls, mod: ModelOnDisk) -> bool:
if mod.path.is_dir():
return False
metadata = mod.metadata()
return (
metadata.get("modelspec.sai_model_spec")
and metadata.get("ot_branch") == "omi_format"
and metadata["modelspec.architecture"].split("/")[1].lower() == "lora"
)
@classmethod
def parse(cls, mod: ModelOnDisk) -> dict[str, Any]:
metadata = mod.metadata()
architecture = metadata["modelspec.architecture"]
if architecture == stable_diffusion_xl_1_lora:
base = BaseModelType.StableDiffusionXL
elif architecture == flux_dev_1_lora:
base = BaseModelType.Flux
else:
raise InvalidModelConfigException(f"Unrecognised/unsupported architecture for OMI LoRA: {architecture}")
return {"base": base}
class LoRALyCORISConfig(LoRAConfigBase, ModelConfigBase):
"""Model config for LoRA/Lycoris models."""
@@ -381,7 +350,7 @@ class LoRALyCORISConfig(LoRAConfigBase, ModelConfigBase):
state_dict = mod.load_state_dict()
for key in state_dict.keys():
if isinstance(key, int):
if type(key) is int:
continue
if key.startswith(("lora_te_", "lora_unet_", "lora_te1_", "lora_te2_", "lora_transformer_")):
@@ -699,7 +668,6 @@ AnyModelConfig = Annotated[
Annotated[ControlNetDiffusersConfig, ControlNetDiffusersConfig.get_tag()],
Annotated[ControlNetCheckpointConfig, ControlNetCheckpointConfig.get_tag()],
Annotated[LoRALyCORISConfig, LoRALyCORISConfig.get_tag()],
Annotated[LoRAOmiConfig, LoRAOmiConfig.get_tag()],
Annotated[ControlLoRALyCORISConfig, ControlLoRALyCORISConfig.get_tag()],
Annotated[ControlLoRADiffusersConfig, ControlLoRADiffusersConfig.get_tag()],
Annotated[LoRADiffusersConfig, LoRADiffusersConfig.get_tag()],

View File

@@ -13,7 +13,6 @@ from invokeai.backend.model_manager.config import AnyModelConfig
from invokeai.backend.model_manager.load.load_default import ModelLoader
from invokeai.backend.model_manager.load.model_cache.model_cache import ModelCache
from invokeai.backend.model_manager.load.model_loader_registry import ModelLoaderRegistry
from invokeai.backend.model_manager.omi.omi import convert_from_omi
from invokeai.backend.model_manager.taxonomy import (
AnyModel,
BaseModelType,
@@ -21,10 +20,6 @@ from invokeai.backend.model_manager.taxonomy import (
ModelType,
SubModelType,
)
from invokeai.backend.patches.lora_conversions.flux_aitoolkit_lora_conversion_utils import (
is_state_dict_likely_in_flux_aitoolkit_format,
lora_model_from_flux_aitoolkit_state_dict,
)
from invokeai.backend.patches.lora_conversions.flux_control_lora_utils import (
is_state_dict_likely_flux_control,
lora_model_from_flux_control_state_dict,
@@ -44,8 +39,6 @@ from invokeai.backend.patches.lora_conversions.sd_lora_conversion_utils import l
from invokeai.backend.patches.lora_conversions.sdxl_lora_conversion_utils import convert_sdxl_keys_to_diffusers_format
@ModelLoaderRegistry.register(base=BaseModelType.Flux, type=ModelType.LoRA, format=ModelFormat.OMI)
@ModelLoaderRegistry.register(base=BaseModelType.StableDiffusionXL, type=ModelType.LoRA, format=ModelFormat.OMI)
@ModelLoaderRegistry.register(base=BaseModelType.Any, type=ModelType.LoRA, format=ModelFormat.Diffusers)
@ModelLoaderRegistry.register(base=BaseModelType.Any, type=ModelType.LoRA, format=ModelFormat.LyCORIS)
@ModelLoaderRegistry.register(base=BaseModelType.Flux, type=ModelType.ControlLoRa, format=ModelFormat.LyCORIS)
@@ -80,23 +73,12 @@ class LoRALoader(ModelLoader):
else:
state_dict = torch.load(model_path, map_location="cpu")
# Strip 'bundle_emb' keys - these are unused and currently cause downstream errors.
# To revisit later to determine if they're needed/useful.
state_dict = {k: v for k, v in state_dict.items() if not k.startswith("bundle_emb")}
# At the time of writing, we support the OMI standard for base models Flux and SDXL
if config.format == ModelFormat.OMI and self._model_base in [
BaseModelType.StableDiffusionXL,
BaseModelType.Flux,
]:
state_dict = convert_from_omi(state_dict, config.base) # type: ignore
# Apply state_dict key conversions, if necessary.
if self._model_base == BaseModelType.StableDiffusionXL:
state_dict = convert_sdxl_keys_to_diffusers_format(state_dict)
model = lora_model_from_sd_state_dict(state_dict=state_dict)
elif self._model_base == BaseModelType.Flux:
if config.format in [ModelFormat.Diffusers, ModelFormat.OMI]:
if config.format == ModelFormat.Diffusers:
# HACK(ryand): We set alpha=None for diffusers PEFT format models. These models are typically
# distributed as a single file without the associated metadata containing the alpha value. We chose
# alpha=None, because this is treated as alpha=rank internally in `LoRALayerBase.scale()`. alpha=rank
@@ -110,10 +92,8 @@ class LoRALoader(ModelLoader):
model = lora_model_from_flux_onetrainer_state_dict(state_dict=state_dict)
elif is_state_dict_likely_flux_control(state_dict=state_dict):
model = lora_model_from_flux_control_state_dict(state_dict=state_dict)
elif is_state_dict_likely_in_flux_aitoolkit_format(state_dict=state_dict):
model = lora_model_from_flux_aitoolkit_state_dict(state_dict=state_dict)
else:
raise ValueError("LoRA model is in unsupported FLUX format")
raise ValueError(f"LoRA model is in unsupported FLUX format: {config.format}")
else:
raise ValueError(f"LoRA model is in unsupported FLUX format: {config.format}")
elif self._model_base in [BaseModelType.StableDiffusion1, BaseModelType.StableDiffusion2]:

View File

@@ -1,7 +0,0 @@
from invokeai.backend.model_manager.omi.omi import convert_from_omi
from invokeai.backend.model_manager.omi.vendor.model_spec.architecture import (
flux_dev_1_lora,
stable_diffusion_xl_1_lora,
)
__all__ = ["flux_dev_1_lora", "stable_diffusion_xl_1_lora", "convert_from_omi"]

View File

@@ -1,21 +0,0 @@
from invokeai.backend.model_manager.model_on_disk import StateDict
from invokeai.backend.model_manager.omi.vendor.convert.lora import (
convert_flux_lora as omi_flux,
)
from invokeai.backend.model_manager.omi.vendor.convert.lora import (
convert_lora_util as lora_util,
)
from invokeai.backend.model_manager.omi.vendor.convert.lora import (
convert_sdxl_lora as omi_sdxl,
)
from invokeai.backend.model_manager.taxonomy import BaseModelType
def convert_from_omi(weights_sd: StateDict, base: BaseModelType):
keyset = {
BaseModelType.Flux: omi_flux.convert_flux_lora_key_sets(),
BaseModelType.StableDiffusionXL: omi_sdxl.convert_sdxl_lora_key_sets(),
}[base]
source = "omi"
target = "legacy_diffusers"
return lora_util.__convert(weights_sd, keyset, source, target) # type: ignore

View File

@@ -1,20 +0,0 @@
from invokeai.backend.model_manager.omi.vendor.convert.lora.convert_lora_util import (
LoraConversionKeySet,
map_prefix_range,
)
def map_clip(key_prefix: LoraConversionKeySet) -> list[LoraConversionKeySet]:
keys = []
keys += [LoraConversionKeySet("text_projection", "text_projection", parent=key_prefix)]
for k in map_prefix_range("text_model.encoder.layers", "text_model.encoder.layers", parent=key_prefix):
keys += [LoraConversionKeySet("mlp.fc1", "mlp.fc1", parent=k)]
keys += [LoraConversionKeySet("mlp.fc2", "mlp.fc2", parent=k)]
keys += [LoraConversionKeySet("self_attn.k_proj", "self_attn.k_proj", parent=k)]
keys += [LoraConversionKeySet("self_attn.out_proj", "self_attn.out_proj", parent=k)]
keys += [LoraConversionKeySet("self_attn.q_proj", "self_attn.q_proj", parent=k)]
keys += [LoraConversionKeySet("self_attn.v_proj", "self_attn.v_proj", parent=k)]
return keys

View File

@@ -1,84 +0,0 @@
from invokeai.backend.model_manager.omi.vendor.convert.lora.convert_clip import map_clip
from invokeai.backend.model_manager.omi.vendor.convert.lora.convert_lora_util import (
LoraConversionKeySet,
map_prefix_range,
)
from invokeai.backend.model_manager.omi.vendor.convert.lora.convert_t5 import map_t5
def __map_double_transformer_block(key_prefix: LoraConversionKeySet) -> list[LoraConversionKeySet]:
keys = []
keys += [LoraConversionKeySet("img_attn.qkv.0", "attn.to_q", parent=key_prefix)]
keys += [LoraConversionKeySet("img_attn.qkv.1", "attn.to_k", parent=key_prefix)]
keys += [LoraConversionKeySet("img_attn.qkv.2", "attn.to_v", parent=key_prefix)]
keys += [LoraConversionKeySet("txt_attn.qkv.0", "attn.add_q_proj", parent=key_prefix)]
keys += [LoraConversionKeySet("txt_attn.qkv.1", "attn.add_k_proj", parent=key_prefix)]
keys += [LoraConversionKeySet("txt_attn.qkv.2", "attn.add_v_proj", parent=key_prefix)]
keys += [LoraConversionKeySet("img_attn.proj", "attn.to_out.0", parent=key_prefix)]
keys += [LoraConversionKeySet("img_mlp.0", "ff.net.0.proj", parent=key_prefix)]
keys += [LoraConversionKeySet("img_mlp.2", "ff.net.2", parent=key_prefix)]
keys += [LoraConversionKeySet("img_mod.lin", "norm1.linear", parent=key_prefix)]
keys += [LoraConversionKeySet("txt_attn.proj", "attn.to_add_out", parent=key_prefix)]
keys += [LoraConversionKeySet("txt_mlp.0", "ff_context.net.0.proj", parent=key_prefix)]
keys += [LoraConversionKeySet("txt_mlp.2", "ff_context.net.2", parent=key_prefix)]
keys += [LoraConversionKeySet("txt_mod.lin", "norm1_context.linear", parent=key_prefix)]
return keys
def __map_single_transformer_block(key_prefix: LoraConversionKeySet) -> list[LoraConversionKeySet]:
keys = []
keys += [LoraConversionKeySet("linear1.0", "attn.to_q", parent=key_prefix)]
keys += [LoraConversionKeySet("linear1.1", "attn.to_k", parent=key_prefix)]
keys += [LoraConversionKeySet("linear1.2", "attn.to_v", parent=key_prefix)]
keys += [LoraConversionKeySet("linear1.3", "proj_mlp", parent=key_prefix)]
keys += [LoraConversionKeySet("linear2", "proj_out", parent=key_prefix)]
keys += [LoraConversionKeySet("modulation.lin", "norm.linear", parent=key_prefix)]
return keys
def __map_transformer(key_prefix: LoraConversionKeySet) -> list[LoraConversionKeySet]:
keys = []
keys += [LoraConversionKeySet("txt_in", "context_embedder", parent=key_prefix)]
keys += [
LoraConversionKeySet("final_layer.adaLN_modulation.1", "norm_out.linear", parent=key_prefix, swap_chunks=True)
]
keys += [LoraConversionKeySet("final_layer.linear", "proj_out", parent=key_prefix)]
keys += [
LoraConversionKeySet("guidance_in.in_layer", "time_text_embed.guidance_embedder.linear_1", parent=key_prefix)
]
keys += [
LoraConversionKeySet("guidance_in.out_layer", "time_text_embed.guidance_embedder.linear_2", parent=key_prefix)
]
keys += [LoraConversionKeySet("vector_in.in_layer", "time_text_embed.text_embedder.linear_1", parent=key_prefix)]
keys += [LoraConversionKeySet("vector_in.out_layer", "time_text_embed.text_embedder.linear_2", parent=key_prefix)]
keys += [LoraConversionKeySet("time_in.in_layer", "time_text_embed.timestep_embedder.linear_1", parent=key_prefix)]
keys += [LoraConversionKeySet("time_in.out_layer", "time_text_embed.timestep_embedder.linear_2", parent=key_prefix)]
keys += [LoraConversionKeySet("img_in.proj", "x_embedder", parent=key_prefix)]
for k in map_prefix_range("double_blocks", "transformer_blocks", parent=key_prefix):
keys += __map_double_transformer_block(k)
for k in map_prefix_range("single_blocks", "single_transformer_blocks", parent=key_prefix):
keys += __map_single_transformer_block(k)
return keys
def convert_flux_lora_key_sets() -> list[LoraConversionKeySet]:
keys = []
keys += [LoraConversionKeySet("bundle_emb", "bundle_emb")]
keys += __map_transformer(LoraConversionKeySet("transformer", "lora_transformer"))
keys += map_clip(LoraConversionKeySet("clip_l", "lora_te1"))
keys += map_t5(LoraConversionKeySet("t5", "lora_te2"))
return keys

View File

@@ -1,217 +0,0 @@
import torch
from torch import Tensor
from typing_extensions import Self
class LoraConversionKeySet:
def __init__(
self,
omi_prefix: str,
diffusers_prefix: str,
legacy_diffusers_prefix: str | None = None,
parent: Self | None = None,
swap_chunks: bool = False,
filter_is_last: bool | None = None,
next_omi_prefix: str | None = None,
next_diffusers_prefix: str | None = None,
):
if parent is not None:
self.omi_prefix = combine(parent.omi_prefix, omi_prefix)
self.diffusers_prefix = combine(parent.diffusers_prefix, diffusers_prefix)
else:
self.omi_prefix = omi_prefix
self.diffusers_prefix = diffusers_prefix
if legacy_diffusers_prefix is None:
self.legacy_diffusers_prefix = self.diffusers_prefix.replace(".", "_")
elif parent is not None:
self.legacy_diffusers_prefix = combine(parent.legacy_diffusers_prefix, legacy_diffusers_prefix).replace(
".", "_"
)
else:
self.legacy_diffusers_prefix = legacy_diffusers_prefix
self.parent = parent
self.swap_chunks = swap_chunks
self.filter_is_last = filter_is_last
self.prefix = parent
if next_omi_prefix is None and parent is not None:
self.next_omi_prefix = parent.next_omi_prefix
self.next_diffusers_prefix = parent.next_diffusers_prefix
self.next_legacy_diffusers_prefix = parent.next_legacy_diffusers_prefix
elif next_omi_prefix is not None and parent is not None:
self.next_omi_prefix = combine(parent.omi_prefix, next_omi_prefix)
self.next_diffusers_prefix = combine(parent.diffusers_prefix, next_diffusers_prefix)
self.next_legacy_diffusers_prefix = combine(parent.legacy_diffusers_prefix, next_diffusers_prefix).replace(
".", "_"
)
elif next_omi_prefix is not None and parent is None:
self.next_omi_prefix = next_omi_prefix
self.next_diffusers_prefix = next_diffusers_prefix
self.next_legacy_diffusers_prefix = next_diffusers_prefix.replace(".", "_")
else:
self.next_omi_prefix = None
self.next_diffusers_prefix = None
self.next_legacy_diffusers_prefix = None
def __get_omi(self, in_prefix: str, key: str) -> str:
return self.omi_prefix + key.removeprefix(in_prefix)
def __get_diffusers(self, in_prefix: str, key: str) -> str:
return self.diffusers_prefix + key.removeprefix(in_prefix)
def __get_legacy_diffusers(self, in_prefix: str, key: str) -> str:
key = self.legacy_diffusers_prefix + key.removeprefix(in_prefix)
suffix = key[key.rfind(".") :]
if suffix not in [".alpha", ".dora_scale"]: # some keys only have a single . in the suffix
suffix = key[key.removesuffix(suffix).rfind(".") :]
key = key.removesuffix(suffix)
return key.replace(".", "_") + suffix
def get_key(self, in_prefix: str, key: str, target: str) -> str:
if target == "omi":
return self.__get_omi(in_prefix, key)
elif target == "diffusers":
return self.__get_diffusers(in_prefix, key)
elif target == "legacy_diffusers":
return self.__get_legacy_diffusers(in_prefix, key)
return key
def __str__(self) -> str:
return f"omi: {self.omi_prefix}, diffusers: {self.diffusers_prefix}, legacy: {self.legacy_diffusers_prefix}"
def combine(left: str, right: str) -> str:
left = left.rstrip(".")
right = right.lstrip(".")
if left == "" or left is None:
return right
elif right == "" or right is None:
return left
else:
return left + "." + right
def map_prefix_range(
omi_prefix: str,
diffusers_prefix: str,
parent: LoraConversionKeySet,
) -> list[LoraConversionKeySet]:
# 100 should be a safe upper bound. increase if it's not enough in the future
return [
LoraConversionKeySet(
omi_prefix=f"{omi_prefix}.{i}",
diffusers_prefix=f"{diffusers_prefix}.{i}",
parent=parent,
next_omi_prefix=f"{omi_prefix}.{i + 1}",
next_diffusers_prefix=f"{diffusers_prefix}.{i + 1}",
)
for i in range(100)
]
def __convert(
state_dict: dict[str, Tensor],
key_sets: list[LoraConversionKeySet],
source: str,
target: str,
) -> dict[str, Tensor]:
out_states = {}
if source == target:
return dict(state_dict)
# TODO: maybe replace with a non O(n^2) algorithm
for key, tensor in state_dict.items():
for key_set in key_sets:
in_prefix = ""
if source == "omi":
in_prefix = key_set.omi_prefix
elif source == "diffusers":
in_prefix = key_set.diffusers_prefix
elif source == "legacy_diffusers":
in_prefix = key_set.legacy_diffusers_prefix
if not key.startswith(in_prefix):
continue
if key_set.filter_is_last is not None:
next_prefix = None
if source == "omi":
next_prefix = key_set.next_omi_prefix
elif source == "diffusers":
next_prefix = key_set.next_diffusers_prefix
elif source == "legacy_diffusers":
next_prefix = key_set.next_legacy_diffusers_prefix
is_last = not any(k.startswith(next_prefix) for k in state_dict)
if key_set.filter_is_last != is_last:
continue
name = key_set.get_key(in_prefix, key, target)
can_swap_chunks = target == "omi" or source == "omi"
if key_set.swap_chunks and name.endswith(".lora_up.weight") and can_swap_chunks:
chunk_0, chunk_1 = tensor.chunk(2, dim=0)
tensor = torch.cat([chunk_1, chunk_0], dim=0)
out_states[name] = tensor
break # only map the first matching key set
return out_states
def __detect_source(
state_dict: dict[str, Tensor],
key_sets: list[LoraConversionKeySet],
) -> str:
omi_count = 0
diffusers_count = 0
legacy_diffusers_count = 0
for key in state_dict:
for key_set in key_sets:
if key.startswith(key_set.omi_prefix):
omi_count += 1
if key.startswith(key_set.diffusers_prefix):
diffusers_count += 1
if key.startswith(key_set.legacy_diffusers_prefix):
legacy_diffusers_count += 1
if omi_count > diffusers_count and omi_count > legacy_diffusers_count:
return "omi"
if diffusers_count > omi_count and diffusers_count > legacy_diffusers_count:
return "diffusers"
if legacy_diffusers_count > omi_count and legacy_diffusers_count > diffusers_count:
return "legacy_diffusers"
return ""
def convert_to_omi(
state_dict: dict[str, Tensor],
key_sets: list[LoraConversionKeySet],
) -> dict[str, Tensor]:
source = __detect_source(state_dict, key_sets)
return __convert(state_dict, key_sets, source, "omi")
def convert_to_diffusers(
state_dict: dict[str, Tensor],
key_sets: list[LoraConversionKeySet],
) -> dict[str, Tensor]:
source = __detect_source(state_dict, key_sets)
return __convert(state_dict, key_sets, source, "diffusers")
def convert_to_legacy_diffusers(
state_dict: dict[str, Tensor],
key_sets: list[LoraConversionKeySet],
) -> dict[str, Tensor]:
source = __detect_source(state_dict, key_sets)
return __convert(state_dict, key_sets, source, "legacy_diffusers")

View File

@@ -1,125 +0,0 @@
from invokeai.backend.model_manager.omi.vendor.convert.lora.convert_clip import map_clip
from invokeai.backend.model_manager.omi.vendor.convert.lora.convert_lora_util import (
LoraConversionKeySet,
map_prefix_range,
)
def __map_unet_resnet_block(key_prefix: LoraConversionKeySet) -> list[LoraConversionKeySet]:
keys = []
keys += [LoraConversionKeySet("emb_layers.1", "time_emb_proj", parent=key_prefix)]
keys += [LoraConversionKeySet("in_layers.2", "conv1", parent=key_prefix)]
keys += [LoraConversionKeySet("out_layers.3", "conv2", parent=key_prefix)]
keys += [LoraConversionKeySet("skip_connection", "conv_shortcut", parent=key_prefix)]
return keys
def __map_unet_attention_block(key_prefix: LoraConversionKeySet) -> list[LoraConversionKeySet]:
keys = []
keys += [LoraConversionKeySet("proj_in", "proj_in", parent=key_prefix)]
keys += [LoraConversionKeySet("proj_out", "proj_out", parent=key_prefix)]
for k in map_prefix_range("transformer_blocks", "transformer_blocks", parent=key_prefix):
keys += [LoraConversionKeySet("attn1.to_q", "attn1.to_q", parent=k)]
keys += [LoraConversionKeySet("attn1.to_k", "attn1.to_k", parent=k)]
keys += [LoraConversionKeySet("attn1.to_v", "attn1.to_v", parent=k)]
keys += [LoraConversionKeySet("attn1.to_out.0", "attn1.to_out.0", parent=k)]
keys += [LoraConversionKeySet("attn2.to_q", "attn2.to_q", parent=k)]
keys += [LoraConversionKeySet("attn2.to_k", "attn2.to_k", parent=k)]
keys += [LoraConversionKeySet("attn2.to_v", "attn2.to_v", parent=k)]
keys += [LoraConversionKeySet("attn2.to_out.0", "attn2.to_out.0", parent=k)]
keys += [LoraConversionKeySet("ff.net.0.proj", "ff.net.0.proj", parent=k)]
keys += [LoraConversionKeySet("ff.net.2", "ff.net.2", parent=k)]
return keys
def __map_unet_down_blocks(key_prefix: LoraConversionKeySet) -> list[LoraConversionKeySet]:
keys = []
keys += __map_unet_resnet_block(LoraConversionKeySet("1.0", "0.resnets.0", parent=key_prefix))
keys += __map_unet_resnet_block(LoraConversionKeySet("2.0", "0.resnets.1", parent=key_prefix))
keys += [LoraConversionKeySet("3.0.op", "0.downsamplers.0.conv", parent=key_prefix)]
keys += __map_unet_resnet_block(LoraConversionKeySet("4.0", "1.resnets.0", parent=key_prefix))
keys += __map_unet_attention_block(LoraConversionKeySet("4.1", "1.attentions.0", parent=key_prefix))
keys += __map_unet_resnet_block(LoraConversionKeySet("5.0", "1.resnets.1", parent=key_prefix))
keys += __map_unet_attention_block(LoraConversionKeySet("5.1", "1.attentions.1", parent=key_prefix))
keys += [LoraConversionKeySet("6.0.op", "1.downsamplers.0.conv", parent=key_prefix)]
keys += __map_unet_resnet_block(LoraConversionKeySet("7.0", "2.resnets.0", parent=key_prefix))
keys += __map_unet_attention_block(LoraConversionKeySet("7.1", "2.attentions.0", parent=key_prefix))
keys += __map_unet_resnet_block(LoraConversionKeySet("8.0", "2.resnets.1", parent=key_prefix))
keys += __map_unet_attention_block(LoraConversionKeySet("8.1", "2.attentions.1", parent=key_prefix))
return keys
def __map_unet_mid_block(key_prefix: LoraConversionKeySet) -> list[LoraConversionKeySet]:
keys = []
keys += __map_unet_resnet_block(LoraConversionKeySet("0", "resnets.0", parent=key_prefix))
keys += __map_unet_attention_block(LoraConversionKeySet("1", "attentions.0", parent=key_prefix))
keys += __map_unet_resnet_block(LoraConversionKeySet("2", "resnets.1", parent=key_prefix))
return keys
def __map_unet_up_block(key_prefix: LoraConversionKeySet) -> list[LoraConversionKeySet]:
keys = []
keys += __map_unet_resnet_block(LoraConversionKeySet("0.0", "0.resnets.0", parent=key_prefix))
keys += __map_unet_attention_block(LoraConversionKeySet("0.1", "0.attentions.0", parent=key_prefix))
keys += __map_unet_resnet_block(LoraConversionKeySet("1.0", "0.resnets.1", parent=key_prefix))
keys += __map_unet_attention_block(LoraConversionKeySet("1.1", "0.attentions.1", parent=key_prefix))
keys += __map_unet_resnet_block(LoraConversionKeySet("2.0", "0.resnets.2", parent=key_prefix))
keys += __map_unet_attention_block(LoraConversionKeySet("2.1", "0.attentions.2", parent=key_prefix))
keys += [LoraConversionKeySet("2.2.conv", "0.upsamplers.0.conv", parent=key_prefix)]
keys += __map_unet_resnet_block(LoraConversionKeySet("3.0", "1.resnets.0", parent=key_prefix))
keys += __map_unet_attention_block(LoraConversionKeySet("3.1", "1.attentions.0", parent=key_prefix))
keys += __map_unet_resnet_block(LoraConversionKeySet("4.0", "1.resnets.1", parent=key_prefix))
keys += __map_unet_attention_block(LoraConversionKeySet("4.1", "1.attentions.1", parent=key_prefix))
keys += __map_unet_resnet_block(LoraConversionKeySet("5.0", "1.resnets.2", parent=key_prefix))
keys += __map_unet_attention_block(LoraConversionKeySet("5.1", "1.attentions.2", parent=key_prefix))
keys += [LoraConversionKeySet("5.2.conv", "1.upsamplers.0.conv", parent=key_prefix)]
keys += __map_unet_resnet_block(LoraConversionKeySet("6.0", "2.resnets.0", parent=key_prefix))
keys += __map_unet_resnet_block(LoraConversionKeySet("7.0", "2.resnets.1", parent=key_prefix))
keys += __map_unet_resnet_block(LoraConversionKeySet("8.0", "2.resnets.2", parent=key_prefix))
return keys
def __map_unet(key_prefix: LoraConversionKeySet) -> list[LoraConversionKeySet]:
keys = []
keys += [LoraConversionKeySet("input_blocks.0.0", "conv_in", parent=key_prefix)]
keys += [LoraConversionKeySet("time_embed.0", "time_embedding.linear_1", parent=key_prefix)]
keys += [LoraConversionKeySet("time_embed.2", "time_embedding.linear_2", parent=key_prefix)]
keys += [LoraConversionKeySet("label_emb.0.0", "add_embedding.linear_1", parent=key_prefix)]
keys += [LoraConversionKeySet("label_emb.0.2", "add_embedding.linear_2", parent=key_prefix)]
keys += __map_unet_down_blocks(LoraConversionKeySet("input_blocks", "down_blocks", parent=key_prefix))
keys += __map_unet_mid_block(LoraConversionKeySet("middle_block", "mid_block", parent=key_prefix))
keys += __map_unet_up_block(LoraConversionKeySet("output_blocks", "up_blocks", parent=key_prefix))
keys += [LoraConversionKeySet("out.0", "conv_norm_out", parent=key_prefix)]
keys += [LoraConversionKeySet("out.2", "conv_out", parent=key_prefix)]
return keys
def convert_sdxl_lora_key_sets() -> list[LoraConversionKeySet]:
keys = []
keys += [LoraConversionKeySet("bundle_emb", "bundle_emb")]
keys += __map_unet(LoraConversionKeySet("unet", "lora_unet"))
keys += map_clip(LoraConversionKeySet("clip_l", "lora_te1"))
keys += map_clip(LoraConversionKeySet("clip_g", "lora_te2"))
return keys

View File

@@ -1,19 +0,0 @@
from invokeai.backend.model_manager.omi.vendor.convert.lora.convert_lora_util import (
LoraConversionKeySet,
map_prefix_range,
)
def map_t5(key_prefix: LoraConversionKeySet) -> list[LoraConversionKeySet]:
keys = []
for k in map_prefix_range("encoder.block", "encoder.block", parent=key_prefix):
keys += [LoraConversionKeySet("layer.0.SelfAttention.k", "layer.0.SelfAttention.k", parent=k)]
keys += [LoraConversionKeySet("layer.0.SelfAttention.o", "layer.0.SelfAttention.o", parent=k)]
keys += [LoraConversionKeySet("layer.0.SelfAttention.q", "layer.0.SelfAttention.q", parent=k)]
keys += [LoraConversionKeySet("layer.0.SelfAttention.v", "layer.0.SelfAttention.v", parent=k)]
keys += [LoraConversionKeySet("layer.1.DenseReluDense.wi_0", "layer.1.DenseReluDense.wi_0", parent=k)]
keys += [LoraConversionKeySet("layer.1.DenseReluDense.wi_1", "layer.1.DenseReluDense.wi_1", parent=k)]
keys += [LoraConversionKeySet("layer.1.DenseReluDense.wo", "layer.1.DenseReluDense.wo", parent=k)]
return keys

View File

@@ -1,31 +0,0 @@
stable_diffusion_1_lora = "stable-diffusion-v1/lora"
stable_diffusion_1_inpainting_lora = "stable-diffusion-v1-inpainting/lora"
stable_diffusion_2_512_lora = "stable-diffusion-v2-512/lora"
stable_diffusion_2_768_v_lora = "stable-diffusion-v2-768-v/lora"
stable_diffusion_2_depth_lora = "stable-diffusion-v2-depth/lora"
stable_diffusion_2_inpainting_lora = "stable-diffusion-v2-inpainting/lora"
stable_diffusion_3_medium_lora = "stable-diffusion-v3-medium/lora"
stable_diffusion_35_medium_lora = "stable-diffusion-v3.5-medium/lora"
stable_diffusion_35_large_lora = "stable-diffusion-v3.5-large/lora"
stable_diffusion_xl_1_lora = "stable-diffusion-xl-v1-base/lora"
stable_diffusion_xl_1_inpainting_lora = "stable-diffusion-xl-v1-base-inpainting/lora"
wuerstchen_2_lora = "wuerstchen-v2-prior/lora"
stable_cascade_1_stage_a_lora = "stable-cascade-v1-stage-a/lora"
stable_cascade_1_stage_b_lora = "stable-cascade-v1-stage-b/lora"
stable_cascade_1_stage_c_lora = "stable-cascade-v1-stage-c/lora"
pixart_alpha_lora = "pixart-alpha/lora"
pixart_sigma_lora = "pixart-sigma/lora"
flux_dev_1_lora = "Flux.1-dev/lora"
flux_fill_dev_1_lora = "Flux.1-fill-dev/lora"
sana_lora = "sana/lora"
hunyuan_video_lora = "hunyuan-video/lora"
hi_dream_i1_lora = "hidream-i1/lora"

View File

@@ -29,7 +29,6 @@ class BaseModelType(str, Enum):
Imagen3 = "imagen3"
Imagen4 = "imagen4"
ChatGPT4o = "chatgpt-4o"
FluxKontext = "flux-kontext"
class ModelType(str, Enum):
@@ -89,7 +88,6 @@ class ModelVariantType(str, Enum):
class ModelFormat(str, Enum):
"""Storage format of model."""
OMI = "omi"
Diffusers = "diffusers"
Checkpoint = "checkpoint"
LyCORIS = "lycoris"
@@ -139,7 +137,6 @@ class FluxLoRAFormat(str, Enum):
Kohya = "flux.kohya"
OneTrainer = "flux.onetrainer"
Control = "flux.control"
AIToolkit = "flux.aitoolkit"
AnyVariant: TypeAlias = Union[ModelVariantType, ClipVariantType, None]

View File

@@ -46,10 +46,6 @@ class ModelPatcher:
text_encoder: Union[CLIPTextModel, CLIPTextModelWithProjection],
ti_list: List[Tuple[str, TextualInversionModelRaw]],
) -> Iterator[Tuple[CLIPTokenizer, TextualInversionManager]]:
if len(ti_list) == 0:
yield tokenizer, TextualInversionManager(tokenizer)
return
init_tokens_count = None
new_tokens_added = None

View File

@@ -1,63 +0,0 @@
import json
from dataclasses import dataclass, field
from typing import Any
import torch
from invokeai.backend.patches.layers.base_layer_patch import BaseLayerPatch
from invokeai.backend.patches.layers.utils import any_lora_layer_from_state_dict
from invokeai.backend.patches.lora_conversions.flux_diffusers_lora_conversion_utils import _group_by_layer
from invokeai.backend.patches.lora_conversions.flux_lora_constants import FLUX_LORA_TRANSFORMER_PREFIX
from invokeai.backend.patches.model_patch_raw import ModelPatchRaw
from invokeai.backend.util import InvokeAILogger
def is_state_dict_likely_in_flux_aitoolkit_format(state_dict: dict[str, Any], metadata: dict[str, Any] = None) -> bool:
if metadata:
try:
software = json.loads(metadata.get("software", "{}"))
except json.JSONDecodeError:
return False
return software.get("name") == "ai-toolkit"
# metadata got lost somewhere
return any("diffusion_model" == k.split(".", 1)[0] for k in state_dict.keys())
@dataclass
class GroupedStateDict:
transformer: dict[str, Any] = field(default_factory=dict)
# might also grow CLIP and T5 submodels
def _group_state_by_submodel(state_dict: dict[str, Any]) -> GroupedStateDict:
logger = InvokeAILogger.get_logger()
grouped = GroupedStateDict()
for key, value in state_dict.items():
submodel_name, param_name = key.split(".", 1)
match submodel_name:
case "diffusion_model":
grouped.transformer[param_name] = value
case _:
logger.warning(f"Unexpected submodel name: {submodel_name}")
return grouped
def _rename_peft_lora_keys(state_dict: dict[str, torch.Tensor]) -> dict[str, torch.Tensor]:
"""Renames keys from the PEFT LoRA format to the InvokeAI format."""
renamed_state_dict = {}
for key, value in state_dict.items():
renamed_key = key.replace(".lora_A.", ".lora_down.").replace(".lora_B.", ".lora_up.")
renamed_state_dict[renamed_key] = value
return renamed_state_dict
def lora_model_from_flux_aitoolkit_state_dict(state_dict: dict[str, torch.Tensor]) -> ModelPatchRaw:
state_dict = _rename_peft_lora_keys(state_dict)
by_layer = _group_by_layer(state_dict)
by_model = _group_state_by_submodel(by_layer)
layers: dict[str, BaseLayerPatch] = {}
for layer_key, layer_state_dict in by_model.transformer.items():
layers[FLUX_LORA_TRANSFORMER_PREFIX + layer_key] = any_lora_layer_from_state_dict(layer_state_dict)
return ModelPatchRaw(layers=layers)

View File

@@ -1,7 +1,4 @@
from invokeai.backend.model_manager.taxonomy import FluxLoRAFormat
from invokeai.backend.patches.lora_conversions.flux_aitoolkit_lora_conversion_utils import (
is_state_dict_likely_in_flux_aitoolkit_format,
)
from invokeai.backend.patches.lora_conversions.flux_control_lora_utils import is_state_dict_likely_flux_control
from invokeai.backend.patches.lora_conversions.flux_diffusers_lora_conversion_utils import (
is_state_dict_likely_in_flux_diffusers_format,
@@ -14,7 +11,7 @@ from invokeai.backend.patches.lora_conversions.flux_onetrainer_lora_conversion_u
)
def flux_format_from_state_dict(state_dict: dict, metadata: dict | None = None) -> FluxLoRAFormat | None:
def flux_format_from_state_dict(state_dict):
if is_state_dict_likely_in_flux_kohya_format(state_dict):
return FluxLoRAFormat.Kohya
elif is_state_dict_likely_in_flux_onetrainer_format(state_dict):
@@ -23,7 +20,5 @@ def flux_format_from_state_dict(state_dict: dict, metadata: dict | None = None)
return FluxLoRAFormat.Diffusers
elif is_state_dict_likely_flux_control(state_dict):
return FluxLoRAFormat.Control
elif is_state_dict_likely_in_flux_aitoolkit_format(state_dict, metadata):
return FluxLoRAFormat.AIToolkit
else:
return None

View File

@@ -12,13 +12,11 @@ module.exports = {
// TODO: ENABLE THIS RULE BEFORE v6.0.0
// 'i18next/no-literal-string': 'error',
// https://eslint.org/docs/latest/rules/no-console
'no-console': 'warn',
'no-console': 'error',
// https://eslint.org/docs/latest/rules/no-promise-executor-return
'no-promise-executor-return': 'error',
// https://eslint.org/docs/latest/rules/require-await
'require-await': 'error',
// TODO: ENABLE THIS RULE BEFORE v6.0.0
'react/display-name': 'off',
'no-restricted-properties': [
'error',
{
@@ -33,27 +31,6 @@ module.exports = {
'The Clipboard API is not available by default in Firefox. Use the `useClipboard` hook instead, which wraps clipboard access to prevent errors.',
},
],
'no-restricted-imports': [
'error',
{
paths: [
{
name: 'lodash-es',
importNames: ['isEqual'],
message: 'Please use objectEquals from @observ33r/object-equals instead.',
},
{
name: 'lodash-es',
message: 'Please use es-toolkit instead.',
},
{
name: 'es-toolkit',
importNames: ['isEqual'],
message: 'Please use objectEquals from @observ33r/object-equals instead.',
},
],
},
],
},
overrides: [
/**

View File

@@ -52,58 +52,56 @@
}
},
"dependencies": {
"@atlaskit/pragmatic-drag-and-drop": "^1.7.4",
"@atlaskit/pragmatic-drag-and-drop-auto-scroll": "^2.1.1",
"@atlaskit/pragmatic-drag-and-drop-hitbox": "^1.1.0",
"@dagrejs/dagre": "^1.1.5",
"@atlaskit/pragmatic-drag-and-drop": "^1.5.3",
"@atlaskit/pragmatic-drag-and-drop-auto-scroll": "^2.1.0",
"@atlaskit/pragmatic-drag-and-drop-hitbox": "^1.0.3",
"@dagrejs/dagre": "^1.1.4",
"@dagrejs/graphlib": "^2.2.4",
"@fontsource-variable/inter": "^5.2.6",
"@fontsource-variable/inter": "^5.2.5",
"@invoke-ai/ui-library": "^0.0.46",
"@nanostores/react": "^1.0.0",
"@observ33r/object-equals": "^1.1.4",
"@reduxjs/toolkit": "2.8.2",
"@roarr/browser-log-writer": "^1.3.0",
"@xyflow/react": "^12.7.1",
"@xyflow/react": "^12.6.0",
"async-mutex": "^0.5.0",
"chakra-react-select": "^4.9.2",
"cmdk": "^1.1.1",
"compare-versions": "^6.1.1",
"dockview": "^4.4.0",
"es-toolkit": "^1.39.5",
"filesize": "^10.1.6",
"fracturedjsonjs": "^4.1.0",
"fracturedjsonjs": "^4.0.2",
"framer-motion": "^11.10.0",
"i18next": "^25.2.1",
"i18next": "^25.0.1",
"i18next-http-backend": "^3.0.2",
"idb-keyval": "^6.2.2",
"idb-keyval": "^6.2.1",
"jsondiffpatch": "^0.7.3",
"konva": "^9.3.20",
"linkify-react": "^4.3.1",
"linkifyjs": "^4.3.1",
"linkify-react": "^4.2.0",
"linkifyjs": "^4.2.0",
"lodash-es": "^4.17.21",
"lru-cache": "^11.1.0",
"mtwist": "^1.0.2",
"nanoid": "^5.1.5",
"nanostores": "^1.0.1",
"new-github-issue-url": "^1.1.0",
"overlayscrollbars": "^2.11.4",
"overlayscrollbars": "^2.11.1",
"overlayscrollbars-react": "^0.5.6",
"perfect-freehand": "^1.2.2",
"query-string": "^9.2.1",
"query-string": "^9.1.1",
"raf-throttle": "^2.0.6",
"react": "^18.3.1",
"react-colorful": "^5.6.1",
"react-dom": "^18.3.1",
"react-dropzone": "^14.3.8",
"react-error-boundary": "^5.0.0",
"react-hook-form": "^7.58.1",
"react-hook-form": "^7.56.1",
"react-hotkeys-hook": "4.5.0",
"react-i18next": "^15.5.3",
"react-i18next": "^15.5.1",
"react-icons": "^5.5.0",
"react-redux": "9.2.0",
"react-resizable-panels": "^3.0.3",
"react-resizable-panels": "^2.1.8",
"react-textarea-autosize": "^8.5.9",
"react-use": "^17.6.0",
"react-virtuoso": "^4.13.0",
"react-virtuoso": "^4.12.6",
"redux-dynamic-middlewares": "^2.2.0",
"redux-remember": "^5.2.0",
"redux-undo": "^1.1.0",
@@ -111,12 +109,12 @@
"roarr": "^7.21.1",
"serialize-error": "^12.0.0",
"socket.io-client": "^4.8.1",
"stable-hash": "^0.0.6",
"use-debounce": "^10.0.5",
"stable-hash": "^0.0.5",
"use-debounce": "^10.0.4",
"use-device-pixel-ratio": "^1.1.2",
"uuid": "^11.1.0",
"zod": "^3.25.67",
"zod-validation-error": "^3.5.2"
"zod": "^3.24.3",
"zod-validation-error": "^3.4.0"
},
"peerDependencies": {
"react": "^18.2.0",
@@ -133,6 +131,7 @@
"@storybook/react": "^8.6.12",
"@storybook/react-vite": "^8.6.12",
"@storybook/theming": "^8.6.12",
"@types/lodash-es": "^4.17.12",
"@types/node": "^22.15.1",
"@types/react": "^18.3.11",
"@types/react-dom": "^18.3.0",

View File

@@ -6,32 +6,29 @@ settings:
dependencies:
'@atlaskit/pragmatic-drag-and-drop':
specifier: ^1.7.4
version: 1.7.4
specifier: ^1.5.3
version: 1.5.3
'@atlaskit/pragmatic-drag-and-drop-auto-scroll':
specifier: ^2.1.1
version: 2.1.1
specifier: ^2.1.0
version: 2.1.0
'@atlaskit/pragmatic-drag-and-drop-hitbox':
specifier: ^1.1.0
version: 1.1.0
specifier: ^1.0.3
version: 1.0.3
'@dagrejs/dagre':
specifier: ^1.1.5
version: 1.1.5
specifier: ^1.1.4
version: 1.1.4
'@dagrejs/graphlib':
specifier: ^2.2.4
version: 2.2.4
'@fontsource-variable/inter':
specifier: ^5.2.6
version: 5.2.6
specifier: ^5.2.5
version: 5.2.5
'@invoke-ai/ui-library':
specifier: ^0.0.46
version: 0.0.46(@chakra-ui/system@2.6.2)(@fontsource-variable/inter@5.2.6)(@types/react@18.3.11)(i18next@25.2.1)(react-dom@18.3.1)(react@18.3.1)(typescript@5.8.3)
version: 0.0.46(@chakra-ui/system@2.6.2)(@fontsource-variable/inter@5.2.5)(@types/react@18.3.11)(i18next@25.0.1)(react-dom@18.3.1)(react@18.3.1)(typescript@5.8.3)
'@nanostores/react':
specifier: ^1.0.0
version: 1.0.0(nanostores@1.0.1)(react@18.3.1)
'@observ33r/object-equals':
specifier: ^1.1.4
version: 1.1.4
'@reduxjs/toolkit':
specifier: 2.8.2
version: 2.8.2(react-redux@9.2.0)(react@18.3.1)
@@ -39,8 +36,8 @@ dependencies:
specifier: ^1.3.0
version: 1.3.0
'@xyflow/react':
specifier: ^12.7.1
version: 12.7.1(@types/react@18.3.11)(react-dom@18.3.1)(react@18.3.1)
specifier: ^12.6.0
version: 12.6.0(@types/react@18.3.11)(react-dom@18.3.1)(react@18.3.1)
async-mutex:
specifier: ^0.5.0
version: 0.5.0
@@ -53,30 +50,24 @@ dependencies:
compare-versions:
specifier: ^6.1.1
version: 6.1.1
dockview:
specifier: ^4.4.0
version: 4.4.0(react@18.3.1)
es-toolkit:
specifier: ^1.39.5
version: 1.39.5
filesize:
specifier: ^10.1.6
version: 10.1.6
fracturedjsonjs:
specifier: ^4.1.0
version: 4.1.0
specifier: ^4.0.2
version: 4.0.2
framer-motion:
specifier: ^11.10.0
version: 11.10.0(react-dom@18.3.1)(react@18.3.1)
i18next:
specifier: ^25.2.1
version: 25.2.1(typescript@5.8.3)
specifier: ^25.0.1
version: 25.0.1(typescript@5.8.3)
i18next-http-backend:
specifier: ^3.0.2
version: 3.0.2
idb-keyval:
specifier: ^6.2.2
version: 6.2.2
specifier: ^6.2.1
version: 6.2.1
jsondiffpatch:
specifier: ^0.7.3
version: 0.7.3
@@ -84,11 +75,14 @@ dependencies:
specifier: ^9.3.20
version: 9.3.20
linkify-react:
specifier: ^4.3.1
version: 4.3.1(linkifyjs@4.3.1)(react@18.3.1)
specifier: ^4.2.0
version: 4.2.0(linkifyjs@4.2.0)(react@18.3.1)
linkifyjs:
specifier: ^4.3.1
version: 4.3.1
specifier: ^4.2.0
version: 4.2.0
lodash-es:
specifier: ^4.17.21
version: 4.17.21
lru-cache:
specifier: ^11.1.0
version: 11.1.0
@@ -105,17 +99,17 @@ dependencies:
specifier: ^1.1.0
version: 1.1.0
overlayscrollbars:
specifier: ^2.11.4
version: 2.11.4
specifier: ^2.11.1
version: 2.11.1
overlayscrollbars-react:
specifier: ^0.5.6
version: 0.5.6(overlayscrollbars@2.11.4)(react@18.3.1)
version: 0.5.6(overlayscrollbars@2.11.1)(react@18.3.1)
perfect-freehand:
specifier: ^1.2.2
version: 1.2.2
query-string:
specifier: ^9.2.1
version: 9.2.1
specifier: ^9.1.1
version: 9.1.1
raf-throttle:
specifier: ^2.0.6
version: 2.0.6
@@ -135,14 +129,14 @@ dependencies:
specifier: ^5.0.0
version: 5.0.0(react@18.3.1)
react-hook-form:
specifier: ^7.58.1
version: 7.58.1(react@18.3.1)
specifier: ^7.56.1
version: 7.56.1(react@18.3.1)
react-hotkeys-hook:
specifier: 4.5.0
version: 4.5.0(react-dom@18.3.1)(react@18.3.1)
react-i18next:
specifier: ^15.5.3
version: 15.5.3(i18next@25.2.1)(react-dom@18.3.1)(react@18.3.1)(typescript@5.8.3)
specifier: ^15.5.1
version: 15.5.1(i18next@25.0.1)(react-dom@18.3.1)(react@18.3.1)(typescript@5.8.3)
react-icons:
specifier: ^5.5.0
version: 5.5.0(react@18.3.1)
@@ -150,8 +144,8 @@ dependencies:
specifier: 9.2.0
version: 9.2.0(@types/react@18.3.11)(react@18.3.1)(redux@5.0.1)
react-resizable-panels:
specifier: ^3.0.3
version: 3.0.3(react-dom@18.3.1)(react@18.3.1)
specifier: ^2.1.8
version: 2.1.8(react-dom@18.3.1)(react@18.3.1)
react-textarea-autosize:
specifier: ^8.5.9
version: 8.5.9(@types/react@18.3.11)(react@18.3.1)
@@ -159,8 +153,8 @@ dependencies:
specifier: ^17.6.0
version: 17.6.0(react-dom@18.3.1)(react@18.3.1)
react-virtuoso:
specifier: ^4.13.0
version: 4.13.0(react-dom@18.3.1)(react@18.3.1)
specifier: ^4.12.6
version: 4.12.6(react-dom@18.3.1)(react@18.3.1)
redux-dynamic-middlewares:
specifier: ^2.2.0
version: 2.2.0
@@ -183,11 +177,11 @@ dependencies:
specifier: ^4.8.1
version: 4.8.1
stable-hash:
specifier: ^0.0.6
version: 0.0.6
specifier: ^0.0.5
version: 0.0.5
use-debounce:
specifier: ^10.0.5
version: 10.0.5(react@18.3.1)
specifier: ^10.0.4
version: 10.0.4(react@18.3.1)
use-device-pixel-ratio:
specifier: ^1.1.2
version: 1.1.2(react@18.3.1)
@@ -195,11 +189,11 @@ dependencies:
specifier: ^11.1.0
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dev: false
/react-hook-form@7.58.1(react@18.3.1):
resolution: {integrity: sha512-Lml/KZYEEFfPhUVgE0RdCVpnC4yhW+PndRhbiTtdvSlQTL8IfVR+iQkBjLIvmmc6+GGoVeM11z37ktKFPAb0FA==}
/react-hook-form@7.56.1(react@18.3.1):
resolution: {integrity: sha512-qWAVokhSpshhcEuQDSANHx3jiAEFzu2HAaaQIzi/r9FNPm1ioAvuJSD4EuZzWd7Al7nTRKcKPnBKO7sRn+zavQ==}
engines: {node: '>=18.0.0'}
peerDependencies:
react: ^16.8.0 || ^17 || ^18 || ^19
@@ -7001,8 +6980,8 @@ packages:
react-dom: 18.3.1(react@18.3.1)
dev: false
/react-i18next@15.5.3(i18next@25.2.1)(react-dom@18.3.1)(react@18.3.1)(typescript@5.8.3):
resolution: {integrity: sha512-ypYmOKOnjqPEJZO4m1BI0kS8kWqkBNsKYyhVUfij0gvjy9xJNoG/VcGkxq5dRlVwzmrmY1BQMAmpbbUBLwC4Kw==}
/react-i18next@15.5.1(i18next@25.0.1)(react-dom@18.3.1)(react@18.3.1)(typescript@5.8.3):
resolution: {integrity: sha512-C8RZ7N7H0L+flitiX6ASjq9p5puVJU1Z8VyL3OgM/QOMRf40BMZX+5TkpxzZVcTmOLPX5zlti4InEX5pFyiVeA==}
peerDependencies:
i18next: '>= 23.2.3'
react: '>= 16.8.0'
@@ -7017,9 +6996,9 @@ packages:
typescript:
optional: true
dependencies:
'@babel/runtime': 7.27.6
'@babel/runtime': 7.27.0
html-parse-stringify: 3.0.1
i18next: 25.2.1(typescript@5.8.3)
i18next: 25.0.1(typescript@5.8.3)
react: 18.3.1
react-dom: 18.3.1(react@18.3.1)
typescript: 5.8.3
@@ -7129,8 +7108,8 @@ packages:
use-sidecar: 1.1.3(@types/react@18.3.11)(react@18.3.1)
dev: false
/react-resizable-panels@3.0.3(react-dom@18.3.1)(react@18.3.1):
resolution: {integrity: sha512-7HA8THVBHTzhDK4ON0tvlGXyMAJN1zBeRpuyyremSikgYh2ku6ltD7tsGQOcXx4NKPrZtYCm/5CBr+dkruTGQw==}
/react-resizable-panels@2.1.8(react-dom@18.3.1)(react@18.3.1):
resolution: {integrity: sha512-oDvD0sw34Ecx00cQFLiRJpAE2fCgNLBr8DMrBzkrsaUiLpAycIQoY3eAWfMblDql3pTIMZ60wJ/P89RO1htM2w==}
peerDependencies:
react: ^16.14.0 || ^17.0.0 || ^18.0.0 || ^19.0.0 || ^19.0.0-rc
react-dom: ^16.14.0 || ^17.0.0 || ^18.0.0 || ^19.0.0 || ^19.0.0-rc
@@ -7278,8 +7257,8 @@ packages:
tslib: 2.8.1
dev: false
/react-virtuoso@4.13.0(react-dom@18.3.1)(react@18.3.1):
resolution: {integrity: sha512-XHv2Fglpx80yFPdjZkV9d1baACKghg/ucpDFEXwaix7z0AfVQj+mF6lM+YQR6UC/TwzXG2rJKydRMb3+7iV3PA==}
/react-virtuoso@4.12.6(react-dom@18.3.1)(react@18.3.1):
resolution: {integrity: sha512-bfvS6aCL1ehXmq39KRiz/vxznGUbtA27I5I24TYCe1DhMf84O3aVNCIwrSjYQjkJGJGzY46ihdN8WkYlemuhMQ==}
peerDependencies:
react: '>=16 || >=17 || >= 18 || >= 19'
react-dom: '>=16 || >=17 || >= 18 || >=19'
@@ -7775,8 +7754,8 @@ packages:
resolution: {integrity: sha512-D9cPgkvLlV3t3IzL0D0YLvGA9Ahk4PcvVwUbN0dSGr1aP0Nrt4AEnTUbuGvquEC0mA64Gqt1fzirlRs5ibXx8g==}
dev: true
/stable-hash@0.0.6:
resolution: {integrity: sha512-0afH4mobqTybYZsXImQRLOjHV4gvOW+92HdUIax9t7a8d9v54KWykEuMVIcXhD9BCi+w3kS4x7O6fmZQ3JlG/g==}
/stable-hash@0.0.5:
resolution: {integrity: sha512-+L3ccpzibovGXFK+Ap/f8LOS0ahMrHTf3xu7mMLSpEGU0EO9ucaysSylKo9eRDFNhWve/y275iPmIZ4z39a9iA==}
dev: false
/stack-generator@2.0.10:
@@ -8329,8 +8308,8 @@ packages:
react: 18.3.1
dev: false
/use-debounce@10.0.5(react@18.3.1):
resolution: {integrity: sha512-Q76E3lnIV+4YT9AHcrHEHYmAd9LKwUAbPXDm7FlqVGDHiSOhX3RDjT8dm0AxbJup6WgOb1YEcKyCr11kBJR5KQ==}
/use-debounce@10.0.4(react@18.3.1):
resolution: {integrity: sha512-6Cf7Yr7Wk7Kdv77nnJMf6de4HuDE4dTxKij+RqE9rufDsI6zsbjyAxcH5y2ueJCQAnfgKbzXbZHYlkFwmBlWkw==}
engines: {node: '>= 16.0.0'}
peerDependencies:
react: '*'
@@ -8868,19 +8847,19 @@ packages:
engines: {node: '>=10'}
dev: true
/zod-validation-error@3.5.2(zod@3.25.67):
resolution: {integrity: sha512-mdi7YOLtram5dzJ5aDtm1AG9+mxRma1iaMrZdYIpFO7epdKBUwLHIxTF8CPDeCQ828zAXYtizrKlEJAtzgfgrw==}
/zod-validation-error@3.4.0(zod@3.24.3):
resolution: {integrity: sha512-ZOPR9SVY6Pb2qqO5XHt+MkkTRxGXb4EVtnjc9JpXUOtUB1T9Ru7mZOT361AN3MsetVe7R0a1KZshJDZdgp9miQ==}
engines: {node: '>=18.0.0'}
peerDependencies:
zod: ^3.25.0
zod: ^3.18.0
dependencies:
zod: 3.25.67
zod: 3.24.3
/zod@3.25.67:
resolution: {integrity: sha512-idA2YXwpCdqUSKRCACDE6ItZD9TZzy3OZMtpfLoh6oPR47lipysRrJfjzMqFxQ3uJuUPyUeWe1r9vLH33xO/Qw==}
/zod@3.24.3:
resolution: {integrity: sha512-HhY1oqzWCQWuUqvBFnsyrtZRhyPeR7SUGv+C4+MsisMuVfSPx8HpwWqH8tRahSlt6M3PiFAcoeFhZAqIXTxoSg==}
/zustand@4.5.7(@types/react@18.3.11)(react@18.3.1):
resolution: {integrity: sha512-CHOUy7mu3lbD6o6LJLfllpjkzhHXSBlX8B9+qPddUsIfeF5S/UZ5q0kmCsnRqT1UHFQZchNFDDzMbQsuesHWlw==}
/zustand@4.5.6(@types/react@18.3.11)(react@18.3.1):
resolution: {integrity: sha512-ibr/n1hBzLLj5Y+yUcU7dYw8p6WnIVzdJbnX+1YpaScvZVF2ziugqHs+LAmHw4lWO9c/zRj+K1ncgWDQuthEdQ==}
engines: {node: '>=12.7.0'}
peerDependencies:
'@types/react': '>=16.8'

View File

@@ -1147,7 +1147,6 @@
"modelIncompatibleScaledBboxWidth": "Scaled bbox width is {{width}} but {{model}} requires multiple of {{multiple}}",
"modelIncompatibleScaledBboxHeight": "Scaled bbox height is {{height}} but {{model}} requires multiple of {{multiple}}",
"fluxModelMultipleControlLoRAs": "Can only use 1 Control LoRA at a time",
"fluxKontextMultipleReferenceImages": "Can only use 1 Reference Image at a time with Flux Kontext",
"canvasIsFiltering": "Canvas is busy (filtering)",
"canvasIsTransforming": "Canvas is busy (transforming)",
"canvasIsRasterizing": "Canvas is busy (rasterizing)",
@@ -1338,7 +1337,6 @@
"fluxFillIncompatibleWithT2IAndI2I": "FLUX Fill is not compatible with Text to Image or Image to Image. Use other FLUX models for these tasks.",
"imagenIncompatibleGenerationMode": "Google {{model}} supports Text to Image only. Use other models for Image to Image, Inpainting and Outpainting tasks.",
"chatGPT4oIncompatibleGenerationMode": "ChatGPT 4o supports Text to Image and Image to Image only. Use other models Inpainting and Outpainting tasks.",
"fluxKontextIncompatibleGenerationMode": "Flux Kontext supports Text to Image only. Use other models for Image to Image, Inpainting and Outpainting tasks.",
"problemUnpublishingWorkflow": "Problem Unpublishing Workflow",
"problemUnpublishingWorkflowDescription": "There was a problem unpublishing the workflow. Please try again.",
"workflowUnpublished": "Workflow Unpublished"

View File

@@ -3,7 +3,7 @@ import { useStore } from '@nanostores/react';
import { GlobalHookIsolator } from 'app/components/GlobalHookIsolator';
import { GlobalModalIsolator } from 'app/components/GlobalModalIsolator';
import type { StudioInitAction } from 'app/hooks/useStudioInitAction';
import { $globalIsLoading } from 'app/store/nanostores/globalIsLoading';
import { $didStudioInit } from 'app/hooks/useStudioInitAction';
import type { PartialAppConfig } from 'app/types/invokeai';
import Loading from 'common/components/Loading/Loading';
import { useClearStorage } from 'common/hooks/useClearStorage';
@@ -20,7 +20,7 @@ interface Props {
}
const App = ({ config = DEFAULT_CONFIG, studioInitAction }: Props) => {
const globalIsLoading = useStore($globalIsLoading);
const didStudioInit = useStore($didStudioInit);
const clearStorage = useClearStorage();
const handleReset = useCallback(() => {
@@ -33,7 +33,7 @@ const App = ({ config = DEFAULT_CONFIG, studioInitAction }: Props) => {
<ErrorBoundary onReset={handleReset} FallbackComponent={AppErrorBoundaryFallback}>
<Box id="invoke-app-wrapper" w="100dvw" h="100dvh" position="relative" overflow="hidden">
<AppContent />
{globalIsLoading && <Loading />}
{!didStudioInit && <Loading />}
</Box>
<GlobalHookIsolator config={config} studioInitAction={studioInitAction} />
<GlobalModalIsolator />

View File

@@ -10,14 +10,16 @@ import type { PartialAppConfig } from 'app/types/invokeai';
import { useFocusRegionWatcher } from 'common/hooks/focus';
import { useCloseChakraTooltipsOnDragFix } from 'common/hooks/useCloseChakraTooltipsOnDragFix';
import { useGlobalHotkeys } from 'common/hooks/useGlobalHotkeys';
import { size } from 'es-toolkit/compat';
import { useDynamicPromptsWatcher } from 'features/dynamicPrompts/hooks/useDynamicPromptsWatcher';
import { toggleImageViewer } from 'features/gallery/components/ImageViewer/useImageViewer';
import { useStarterModelsToast } from 'features/modelManagerV2/hooks/useStarterModelsToast';
import { useWorkflowBuilderWatcher } from 'features/nodes/components/sidePanel/workflow/IsolatedWorkflowBuilderWatcher';
import { useReadinessWatcher } from 'features/queue/store/readiness';
import { useRegisteredHotkeys } from 'features/system/components/HotkeysModal/useHotkeyData';
import { configChanged } from 'features/system/store/configSlice';
import { selectLanguage } from 'features/system/store/systemSelectors';
import i18n from 'i18n';
import { size } from 'lodash-es';
import { memo, useEffect } from 'react';
import { useGetOpenAPISchemaQuery } from 'services/api/endpoints/appInfo';
import { useGetQueueCountsByDestinationQuery } from 'services/api/endpoints/queue';
@@ -70,6 +72,12 @@ export const GlobalHookIsolator = memo(
useWorkflowBuilderWatcher();
useDynamicPromptsWatcher();
useRegisteredHotkeys({
id: 'toggleViewer',
category: 'viewer',
callback: toggleImageViewer,
});
return null;
}
);

View File

@@ -7,13 +7,11 @@ import { selectLastSelectedImage } from 'features/gallery/store/gallerySelectors
import { useRegisteredHotkeys } from 'features/system/components/HotkeysModal/useHotkeyData';
import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
import { memo } from 'react';
import { useImageDTO } from 'services/api/endpoints/images';
import type { ImageDTO } from 'services/api/types';
export const GlobalImageHotkeys = memo(() => {
useAssertSingleton('GlobalImageHotkeys');
const imageName = useAppSelector(selectLastSelectedImage);
const imageDTO = useImageDTO(imageName);
const imageDTO = useAppSelector(selectLastSelectedImage);
if (!imageDTO) {
return null;

View File

@@ -11,6 +11,7 @@ import { FullscreenDropzone } from 'features/dnd/FullscreenDropzone';
import { DynamicPromptsModal } from 'features/dynamicPrompts/components/DynamicPromptsPreviewModal';
import DeleteBoardModal from 'features/gallery/components/Boards/DeleteBoardModal';
import { ImageContextMenu } from 'features/gallery/components/ImageContextMenu/ImageContextMenu';
import { ImageViewerModal } from 'features/gallery/components/ImageViewer/ImageViewer';
import { ShareWorkflowModal } from 'features/nodes/components/sidePanel/workflow/WorkflowLibrary/ShareWorkflowModal';
import { WorkflowLibraryModal } from 'features/nodes/components/sidePanel/workflow/WorkflowLibrary/WorkflowLibraryModal';
import { CancelAllExceptCurrentQueueItemConfirmationAlertDialog } from 'features/queue/components/CancelAllExceptCurrentQueueItemConfirmationAlertDialog';
@@ -60,6 +61,7 @@ export const GlobalModalIsolator = memo(() => {
<CanvasPasteModal />
</CanvasManagerProviderGate>
<LoadWorkflowFromGraphModal />
<ImageViewerModal />
</>
);
});

View File

@@ -1,7 +1,6 @@
import '@fontsource-variable/inter';
import 'overlayscrollbars/overlayscrollbars.css';
import '@xyflow/react/dist/base.css';
import 'common/components/OverlayScrollbars/overlayscrollbars.css';
import { ChakraProvider, DarkMode, extendTheme, theme as _theme, TOAST_OPTIONS } from '@invoke-ai/ui-library';
import type { ReactNode } from 'react';

View File

@@ -7,6 +7,7 @@ import { rasterLayerAdded } from 'features/controlLayers/store/canvasSlice';
import { paramsReset } from 'features/controlLayers/store/paramsSlice';
import type { CanvasRasterLayerState } from 'features/controlLayers/store/types';
import { imageDTOToImageObject } from 'features/controlLayers/store/util';
import { $imageViewer } from 'features/gallery/components/ImageViewer/useImageViewer';
import { sentImageToCanvas } from 'features/gallery/store/actions';
import { parseAndRecallAllMetadata } from 'features/metadata/util/handlers';
import { $hasTemplates } from 'features/nodes/store/nodesSlice';
@@ -93,6 +94,7 @@ export const useStudioInitAction = (action?: StudioInitAction) => {
store.dispatch(canvasReset());
store.dispatch(rasterLayerAdded({ overrides, isSelected: true }));
store.dispatch(sentImageToCanvas());
$imageViewer.set(false);
toast({
title: t('toast.sentToCanvas'),
status: 'info',
@@ -162,10 +164,12 @@ export const useStudioInitAction = (action?: StudioInitAction) => {
// Go to the canvas tab, open the image viewer, and enable send-to-gallery mode
store.dispatch(paramsReset());
store.dispatch(activeTabCanvasRightPanelChanged('gallery'));
$imageViewer.set(true);
break;
case 'canvas':
// Go to the canvas tab, close the image viewer, and disable send-to-gallery mode
store.dispatch(canvasReset());
$imageViewer.set(false);
break;
case 'workflows':
// Go to the workflows tab

View File

@@ -2,7 +2,7 @@ import { createLogWriter } from '@roarr/browser-log-writer';
import { atom } from 'nanostores';
import type { Logger, MessageSerializer } from 'roarr';
import { ROARR, Roarr } from 'roarr';
import { z } from 'zod/v4';
import { z } from 'zod';
const serializeMessage: MessageSerializer = (message) => {
return JSON.stringify(message);

View File

@@ -1,13 +1,13 @@
import { objectEquals } from '@observ33r/object-equals';
import { createDraftSafeSelectorCreator, createSelectorCreator, lruMemoize } from '@reduxjs/toolkit';
import { isEqual } from 'lodash-es';
/**
* A memoized selector creator that uses LRU cache and @observ33r/object-equals's objectEquals for equality check.
* A memoized selector creator that uses LRU cache and lodash's isEqual for equality check.
*/
export const createMemoizedSelector = createSelectorCreator({
memoize: lruMemoize,
memoizeOptions: {
resultEqualityCheck: objectEquals,
resultEqualityCheck: isEqual,
},
argsMemoize: lruMemoize,
});

View File

@@ -8,13 +8,10 @@ import { diff } from 'jsondiffpatch';
* Super simple logger middleware. Useful for debugging when the redux devtools are awkward.
*/
export const getDebugLoggerMiddleware =
(options?: { filter?: (action: unknown) => boolean; withDiff?: boolean; withNextState?: boolean }): Middleware =>
(options?: { withDiff?: boolean; withNextState?: boolean }): Middleware =>
(api: MiddlewareAPI) =>
(next) =>
(action) => {
if (options?.filter?.(action)) {
return next(action);
}
const originalState = api.getState();
console.log('REDUX: dispatching', action);
const result = next(action);

View File

@@ -9,9 +9,14 @@ import { addDeleteBoardAndImagesFulfilledListener } from 'app/store/middleware/l
import { addBoardIdSelectedListener } from 'app/store/middleware/listenerMiddleware/listeners/boardIdSelected';
import { addBulkDownloadListeners } from 'app/store/middleware/listenerMiddleware/listeners/bulkDownload';
import { addEnqueueRequestedLinear } from 'app/store/middleware/listenerMiddleware/listeners/enqueueRequestedLinear';
import { addEnsureImageIsSelectedListener } from 'app/store/middleware/listenerMiddleware/listeners/ensureImageIsSelectedListener';
import { addGalleryImageClickedListener } from 'app/store/middleware/listenerMiddleware/listeners/galleryImageClicked';
import { addGalleryOffsetChangedListener } from 'app/store/middleware/listenerMiddleware/listeners/galleryOffsetChanged';
import { addGetOpenAPISchemaListener } from 'app/store/middleware/listenerMiddleware/listeners/getOpenAPISchema';
import { addImageAddedToBoardFulfilledListener } from 'app/store/middleware/listenerMiddleware/listeners/imageAddedToBoard';
import { addImageRemovedFromBoardFulfilledListener } from 'app/store/middleware/listenerMiddleware/listeners/imageRemovedFromBoard';
import { addImagesStarredListener } from 'app/store/middleware/listenerMiddleware/listeners/imagesStarred';
import { addImagesUnstarredListener } from 'app/store/middleware/listenerMiddleware/listeners/imagesUnstarred';
import { addImageUploadedFulfilledListener } from 'app/store/middleware/listenerMiddleware/listeners/imageUploaded';
import { addModelSelectedListener } from 'app/store/middleware/listenerMiddleware/listeners/modelSelected';
import { addModelsLoadedListener } from 'app/store/middleware/listenerMiddleware/listeners/modelsLoaded';
@@ -42,6 +47,14 @@ addImageUploadedFulfilledListener(startAppListening);
// Image deleted
addDeleteBoardAndImagesFulfilledListener(startAppListening);
// Image starred
addImagesStarredListener(startAppListening);
addImagesUnstarredListener(startAppListening);
// Gallery
addGalleryImageClickedListener(startAppListening);
addGalleryOffsetChangedListener(startAppListening);
// User Invoked
addEnqueueRequestedLinear(startAppListening);
addEnqueueRequestedUpscale(startAppListening);
@@ -75,3 +88,5 @@ addAppConfigReceivedListener(startAppListening);
addAdHocPostProcessingRequestedListener(startAppListening);
addSetDefaultSettingsListener(startAppListening);
addEnsureImageIsSelectedListener(startAppListening);

View File

@@ -25,7 +25,7 @@ export const addArchivedOrDeletedBoardListener = (startAppListening: AppStartLis
matcher: matchAnyBoardDeleted,
effect: (action, { dispatch, getState }) => {
const state = getState();
const deletedBoardId = action.meta.arg.originalArgs.board_id;
const deletedBoardId = action.meta.arg.originalArgs;
const { autoAddBoardId, selectedBoardId } = state.gallery;
// If the deleted board was currently selected, we should reset the selected board to uncategorized

View File

@@ -1,29 +1,15 @@
import { createAction } from '@reduxjs/toolkit';
import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
import { selectLastSelectedImage } from 'features/gallery/store/gallerySelectors';
import { imageSelected } from 'features/gallery/store/gallerySlice';
import { imagesApi } from 'services/api/endpoints/images';
export const appStarted = createAction('app/appStarted');
export const addAppStartedListener = (startAppListening: AppStartListening) => {
startAppListening({
actionCreator: appStarted,
effect: async (action, { unsubscribe, cancelActiveListeners, take, getState, dispatch }) => {
effect: (action, { unsubscribe, cancelActiveListeners }) => {
// this should only run once
cancelActiveListeners();
unsubscribe();
// ensure an image is selected when we load the first board
const firstImageLoad = await take(imagesApi.endpoints.getImageNames.matchFulfilled);
if (firstImageLoad !== null) {
const [{ payload }] = firstImageLoad;
const selectedImage = selectLastSelectedImage(getState());
if (selectedImage) {
return;
}
dispatch(imageSelected(payload.image_names.at(0) ?? null));
}
},
});
};

View File

@@ -1,9 +1,9 @@
import { logger } from 'app/logging/logger';
import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
import { truncate } from 'es-toolkit/compat';
import { zPydanticValidationError } from 'features/system/store/zodSchemas';
import { toast } from 'features/toast/toast';
import { t } from 'i18next';
import { truncate } from 'lodash-es';
import { serializeError } from 'serialize-error';
import { queueApi } from 'services/api/endpoints/queue';
import type { JsonObject } from 'type-fest';

View File

@@ -1,6 +1,6 @@
import { isAnyOf } from '@reduxjs/toolkit';
import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
import { selectListImageNamesQueryArgs, selectSelectedBoardId } from 'features/gallery/store/gallerySelectors';
import { selectListImagesQueryArgs } from 'features/gallery/store/gallerySelectors';
import { boardIdSelected, galleryViewChanged, imageSelected } from 'features/gallery/store/gallerySlice';
import { imagesApi } from 'services/api/endpoints/images';
@@ -11,35 +11,36 @@ export const addBoardIdSelectedListener = (startAppListening: AppStartListening)
// Cancel any in-progress instances of this listener, we don't want to select an image from a previous board
cancelActiveListeners();
if (boardIdSelected.match(action) && action.payload.selectedImageName) {
// This action already has a selected image name, we trust it is valid
return;
}
const state = getState();
const board_id = selectSelectedBoardId(state);
const queryArgs = { ...selectListImageNamesQueryArgs(state), board_id };
const queryArgs = selectListImagesQueryArgs(state);
// wait until the board has some images - maybe it already has some from a previous fetch
// must use getState() to ensure we do not have stale state
const isSuccess = await condition(
() => imagesApi.endpoints.getImageNames.select(queryArgs)(getState()).isSuccess,
() => imagesApi.endpoints.listImages.select(queryArgs)(getState()).isSuccess,
5000
);
if (!isSuccess) {
if (isSuccess) {
// the board was just changed - we can select the first image
const { data: boardImagesData } = imagesApi.endpoints.listImages.select(queryArgs)(getState());
if (boardImagesData && boardIdSelected.match(action) && action.payload.selectedImageName) {
const selectedImage = boardImagesData.items.find(
(item) => item.image_name === action.payload.selectedImageName
);
dispatch(imageSelected(selectedImage || null));
} else if (boardImagesData) {
dispatch(imageSelected(boardImagesData.items[0] || null));
} else {
// board has no images - deselect
dispatch(imageSelected(null));
}
} else {
// fallback - deselect
dispatch(imageSelected(null));
return;
}
// the board was just changed - we can select the first image
const imageNames = imagesApi.endpoints.getImageNames.select(queryArgs)(getState()).data?.image_names;
const imageToSelect = imageNames?.at(0) ?? null;
dispatch(imageSelected(imageToSelect));
},
});
};

View File

@@ -16,7 +16,6 @@ import { prepareLinearUIBatch } from 'features/nodes/util/graph/buildLinearBatch
import { buildChatGPT4oGraph } from 'features/nodes/util/graph/generation/buildChatGPT4oGraph';
import { buildCogView4Graph } from 'features/nodes/util/graph/generation/buildCogView4Graph';
import { buildFLUXGraph } from 'features/nodes/util/graph/generation/buildFLUXGraph';
import { buildFluxKontextGraph } from 'features/nodes/util/graph/generation/buildFluxKontextGraph';
import { buildImagen3Graph } from 'features/nodes/util/graph/generation/buildImagen3Graph';
import { buildImagen4Graph } from 'features/nodes/util/graph/generation/buildImagen4Graph';
import { buildSD1Graph } from 'features/nodes/util/graph/generation/buildSD1Graph';
@@ -90,8 +89,6 @@ export const addEnqueueRequestedLinear = (startAppListening: AppStartListening)
return await buildImagen4Graph(state, manager);
case 'chatgpt-4o':
return await buildChatGPT4oGraph(state, manager);
case 'flux-kontext':
return await buildFluxKontextGraph(state, manager);
default:
assert(false, `No graph builders for base ${base}`);
}
@@ -127,7 +124,7 @@ export const addEnqueueRequestedLinear = (startAppListening: AppStartListening)
prepend,
seedFieldIdentifier,
positivePromptFieldIdentifier,
origin: tab,
origin: 'canvas',
destination,
})
);

View File

@@ -0,0 +1,16 @@
import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
import { imageSelected } from 'features/gallery/store/gallerySlice';
import { imagesApi } from 'services/api/endpoints/images';
export const addEnsureImageIsSelectedListener = (startAppListening: AppStartListening) => {
// When we list images, if no images is selected, select the first one.
startAppListening({
matcher: imagesApi.endpoints.listImages.matchFulfilled,
effect: (action, { dispatch, getState }) => {
const selection = getState().gallery.selection;
if (selection.length === 0) {
dispatch(imageSelected(action.payload.items[0] ?? null));
}
},
});
};

View File

@@ -0,0 +1,73 @@
import { createAction } from '@reduxjs/toolkit';
import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
import { selectListImagesQueryArgs } from 'features/gallery/store/gallerySelectors';
import { imageToCompareChanged, selectionChanged } from 'features/gallery/store/gallerySlice';
import { imagesApi } from 'services/api/endpoints/images';
import type { ImageDTO } from 'services/api/types';
export const galleryImageClicked = createAction<{
imageDTO: ImageDTO;
shiftKey: boolean;
ctrlKey: boolean;
metaKey: boolean;
altKey: boolean;
}>('gallery/imageClicked');
/**
* This listener handles the logic for selecting images in the gallery.
*
* Previously, this logic was in a `useCallback` with the whole gallery selection as a dependency. Every time
* the selection changed, the callback got recreated and all images rerendered. This could easily block for
* hundreds of ms, more for lower end devices.
*
* Moving this logic into a listener means we don't need to recalculate anything dynamically and the gallery
* is much more responsive.
*/
export const addGalleryImageClickedListener = (startAppListening: AppStartListening) => {
startAppListening({
actionCreator: galleryImageClicked,
effect: (action, { dispatch, getState }) => {
const { imageDTO, shiftKey, ctrlKey, metaKey, altKey } = action.payload;
const state = getState();
const queryArgs = selectListImagesQueryArgs(state);
const queryResult = imagesApi.endpoints.listImages.select(queryArgs)(state);
if (!queryResult.data) {
// Should never happen if we have clicked a gallery image
return;
}
const imageDTOs = queryResult.data.items;
const selection = state.gallery.selection;
if (altKey) {
if (state.gallery.imageToCompare?.image_name === imageDTO.image_name) {
dispatch(imageToCompareChanged(null));
} else {
dispatch(imageToCompareChanged(imageDTO));
}
} else if (shiftKey) {
const rangeEndImageName = imageDTO.image_name;
const lastSelectedImage = selection[selection.length - 1]?.image_name;
const lastClickedIndex = imageDTOs.findIndex((n) => n.image_name === lastSelectedImage);
const currentClickedIndex = imageDTOs.findIndex((n) => n.image_name === rangeEndImageName);
if (lastClickedIndex > -1 && currentClickedIndex > -1) {
// We have a valid range!
const start = Math.min(lastClickedIndex, currentClickedIndex);
const end = Math.max(lastClickedIndex, currentClickedIndex);
const imagesToSelect = imageDTOs.slice(start, end + 1);
dispatch(selectionChanged(selection.concat(imagesToSelect)));
}
} else if (ctrlKey || metaKey) {
if (selection.some((i) => i.image_name === imageDTO.image_name) && selection.length > 1) {
dispatch(selectionChanged(selection.filter((n) => n.image_name !== imageDTO.image_name)));
} else {
dispatch(selectionChanged(selection.concat(imageDTO)));
}
} else {
dispatch(selectionChanged([imageDTO]));
}
},
});
};

View File

@@ -0,0 +1,119 @@
import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
import { selectListImagesQueryArgs } from 'features/gallery/store/gallerySelectors';
import { imageToCompareChanged, offsetChanged, selectionChanged } from 'features/gallery/store/gallerySlice';
import { imagesApi } from 'services/api/endpoints/images';
export const addGalleryOffsetChangedListener = (startAppListening: AppStartListening) => {
/**
* When the user changes pages in the gallery, we need to wait until the next page of images is loaded, then maybe
* update the selection.
*
* There are a three scenarios:
*
* 1. The page is changed by clicking the pagination buttons. No changes to selection are needed.
*
* 2. The page is changed by using the arrow keys (without alt).
* - When going backwards, select the last image.
* - When going forwards, select the first image.
*
* 3. The page is changed by using the arrows keys with alt. This means the user is changing the comparison image.
* - When going backwards, select the last image _as the comparison image_.
* - When going forwards, select the first image _as the comparison image_.
*/
startAppListening({
actionCreator: offsetChanged,
effect: async (action, { dispatch, getState, getOriginalState, take, cancelActiveListeners }) => {
// Cancel any active listeners to prevent the selection from changing without user input
cancelActiveListeners();
const { withHotkey } = action.payload;
if (!withHotkey) {
// User changed pages by clicking the pagination buttons - no changes to selection
return;
}
const originalState = getOriginalState();
const prevOffset = originalState.gallery.offset;
const offset = getState().gallery.offset;
if (offset === prevOffset) {
// The page didn't change - bail
return;
}
/**
* We need to wait until the next page of images is loaded before updating the selection, so we use the correct
* page of images.
*
* The simplest way to do it would be to use `take` to wait for the next fulfilled action, but RTK-Q doesn't
* dispatch an action on cache hits. This means the `take` will only return if the cache is empty. If the user
* changes to a cached page - a common situation - the `take` will never resolve.
*
* So we need to take a two-step approach. First, check if we have data in the cache for the page of images. If
* we have data cached, use it to update the selection. If we don't have data cached, wait for the next fulfilled
* action, which updates the cache, then use the cache to update the selection.
*/
// Check if we have data in the cache for the page of images
const queryArgs = selectListImagesQueryArgs(getState());
let { data } = imagesApi.endpoints.listImages.select(queryArgs)(getState());
// No data yet - wait for the network request to complete
if (!data) {
const takeResult = await take(imagesApi.endpoints.listImages.matchFulfilled, 5000);
if (!takeResult) {
// The request didn't complete in time - bail
return;
}
data = takeResult[0].payload;
}
// We awaited a network request - state could have changed, get fresh state
const state = getState();
const { selection, imageToCompare } = state.gallery;
const imageDTOs = data?.items;
if (!imageDTOs) {
// The page didn't load - bail
return;
}
if (withHotkey === 'arrow') {
// User changed pages by using the arrow keys - selection changes to first or last image depending
if (offset < prevOffset) {
// We've gone backwards
const lastImage = imageDTOs[imageDTOs.length - 1];
if (!selection.some((selectedImage) => selectedImage.image_name === lastImage?.image_name)) {
dispatch(selectionChanged(lastImage ? [lastImage] : []));
}
} else {
// We've gone forwards
const firstImage = imageDTOs[0];
if (!selection.some((selectedImage) => selectedImage.image_name === firstImage?.image_name)) {
dispatch(selectionChanged(firstImage ? [firstImage] : []));
}
}
return;
}
if (withHotkey === 'alt+arrow') {
// User changed pages by using the arrow keys with alt - comparison image changes to first or last depending
if (offset < prevOffset) {
// We've gone backwards
const lastImage = imageDTOs[imageDTOs.length - 1];
if (lastImage && imageToCompare?.image_name !== lastImage.image_name) {
dispatch(imageToCompareChanged(lastImage));
}
} else {
// We've gone forwards
const firstImage = imageDTOs[0];
if (firstImage && imageToCompare?.image_name !== firstImage.image_name) {
dispatch(imageToCompareChanged(firstImage));
}
}
return;
}
},
});
};

View File

@@ -1,9 +1,9 @@
import { logger } from 'app/logging/logger';
import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
import { parseify } from 'common/util/serialize';
import { size } from 'es-toolkit/compat';
import { $templates } from 'features/nodes/store/nodesSlice';
import { parseSchema } from 'features/nodes/util/schema/parseSchema';
import { size } from 'lodash-es';
import { serializeError } from 'serialize-error';
import { appInfoApi } from 'services/api/endpoints/appInfo';
import type { JsonObject } from 'type-fest';

View File

@@ -8,16 +8,16 @@ export const addImageAddedToBoardFulfilledListener = (startAppListening: AppStar
startAppListening({
matcher: imagesApi.endpoints.addImageToBoard.matchFulfilled,
effect: (action) => {
const { board_id, image_name } = action.meta.arg.originalArgs;
log.debug({ board_id, image_name }, 'Image added to board');
const { board_id, imageDTO } = action.meta.arg.originalArgs;
log.debug({ board_id, imageDTO }, 'Image added to board');
},
});
startAppListening({
matcher: imagesApi.endpoints.addImageToBoard.matchRejected,
effect: (action) => {
const { board_id, image_name } = action.meta.arg.originalArgs;
log.debug({ board_id, image_name }, 'Problem adding image to board');
const { board_id, imageDTO } = action.meta.arg.originalArgs;
log.debug({ board_id, imageDTO }, 'Problem adding image to board');
},
});
};

View File

@@ -2,12 +2,12 @@ import { isAnyOf } from '@reduxjs/toolkit';
import { logger } from 'app/logging/logger';
import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
import type { RootState } from 'app/store/store';
import { omit } from 'es-toolkit/compat';
import { imageUploadedClientSide } from 'features/gallery/store/actions';
import { selectListBoardsQueryArgs } from 'features/gallery/store/gallerySelectors';
import { boardIdSelected, galleryViewChanged } from 'features/gallery/store/gallerySlice';
import { toast } from 'features/toast/toast';
import { t } from 'i18next';
import { omit } from 'lodash-es';
import { boardsApi } from 'services/api/endpoints/boards';
import { imagesApi } from 'services/api/endpoints/images';
import type { ImageDTO } from 'services/api/types';

View File

@@ -0,0 +1,30 @@
import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
import { selectionChanged } from 'features/gallery/store/gallerySlice';
import { imagesApi } from 'services/api/endpoints/images';
import type { ImageDTO } from 'services/api/types';
export const addImagesStarredListener = (startAppListening: AppStartListening) => {
startAppListening({
matcher: imagesApi.endpoints.starImages.matchFulfilled,
effect: (action, { dispatch, getState }) => {
const { updated_image_names: starredImages } = action.payload;
const state = getState();
const { selection } = state.gallery;
const updatedSelection: ImageDTO[] = [];
selection.forEach((selectedImageDTO) => {
if (starredImages.includes(selectedImageDTO.image_name)) {
updatedSelection.push({
...selectedImageDTO,
starred: true,
});
} else {
updatedSelection.push(selectedImageDTO);
}
});
dispatch(selectionChanged(updatedSelection));
},
});
};

View File

@@ -0,0 +1,30 @@
import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
import { selectionChanged } from 'features/gallery/store/gallerySlice';
import { imagesApi } from 'services/api/endpoints/images';
import type { ImageDTO } from 'services/api/types';
export const addImagesUnstarredListener = (startAppListening: AppStartListening) => {
startAppListening({
matcher: imagesApi.endpoints.unstarImages.matchFulfilled,
effect: (action, { dispatch, getState }) => {
const { updated_image_names: unstarredImages } = action.payload;
const state = getState();
const { selection } = state.gallery;
const updatedSelection: ImageDTO[] = [];
selection.forEach((selectedImageDTO) => {
if (unstarredImages.includes(selectedImageDTO.image_name)) {
updatedSelection.push({
...selectedImageDTO,
starred: false,
});
} else {
updatedSelection.push(selectedImageDTO);
}
});
dispatch(selectionChanged(updatedSelection));
},
});
};

View File

@@ -1,8 +1,8 @@
import { objectEquals } from '@observ33r/object-equals';
import { createAction } from '@reduxjs/toolkit';
import { logger } from 'app/logging/logger';
import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
import { $baseUrl } from 'app/store/nanostores/baseUrl';
import { isEqual } from 'lodash-es';
import { atom } from 'nanostores';
import { api } from 'services/api';
import { modelsApi } from 'services/api/endpoints/models';
@@ -64,7 +64,7 @@ export const addSocketConnectedEventListener = (startAppListening: AppStartListe
const nextQueueStatusData = await queueStatusRequest.unwrap();
// If the queue hasn't changed, we don't need to do anything.
if (objectEquals(prevQueueStatusData?.queue, nextQueueStatusData.queue)) {
if (isEqual(prevQueueStatusData?.queue, nextQueueStatusData.queue)) {
return;
}

View File

@@ -1,13 +0,0 @@
import { $didStudioInit } from 'app/hooks/useStudioInitAction';
import { atom, computed } from 'nanostores';
import { flushSync } from 'react-dom';
export const $isLayoutLoading = atom(false);
export const setIsLayoutLoading = (isLoading: boolean) => {
flushSync(() => {
$isLayoutLoading.set(isLoading);
});
};
export const $globalIsLoading = computed([$didStudioInit, $isLayoutLoading], (didStudioInit, isLayoutLoading) => {
return !didStudioInit || isLayoutLoading;
});

View File

@@ -4,7 +4,6 @@ import { logger } from 'app/logging/logger';
import { idbKeyValDriver } from 'app/store/enhancers/reduxRemember/driver';
import { errorHandler } from 'app/store/enhancers/reduxRemember/errors';
import { deepClone } from 'common/util/deepClone';
import { keys, mergeWith, omit, pick } from 'es-toolkit/compat';
import { changeBoardModalSlice } from 'features/changeBoardModal/store/slice';
import { canvasSettingsPersistConfig, canvasSettingsSlice } from 'features/controlLayers/store/canvasSettingsSlice';
import { canvasPersistConfig, canvasSlice, canvasUndoableConfig } from 'features/controlLayers/store/canvasSlice';
@@ -29,6 +28,7 @@ import { configSlice } from 'features/system/store/configSlice';
import { systemPersistConfig, systemSlice } from 'features/system/store/systemSlice';
import { uiPersistConfig, uiSlice } from 'features/ui/store/uiSlice';
import { diff } from 'jsondiffpatch';
import { keys, mergeWith, omit, pick } from 'lodash-es';
import dynamicMiddlewares from 'redux-dynamic-middlewares';
import type { SerializeFunction, UnserializeFunction } from 'redux-remember';
import { rememberEnhancer, rememberReducer } from 'redux-remember';

View File

@@ -15,9 +15,9 @@ import {
} from '@invoke-ai/ui-library';
import { createSelector } from '@reduxjs/toolkit';
import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
import { merge, omit } from 'es-toolkit/compat';
import { selectSystemSlice, setShouldEnableInformationalPopovers } from 'features/system/store/systemSlice';
import { toast } from 'features/toast/toast';
import { merge, omit } from 'lodash-es';
import type { ReactElement } from 'react';
import { memo, useCallback, useMemo } from 'react';
import { useTranslation } from 'react-i18next';

View File

@@ -17,7 +17,6 @@ const Loading = () => {
right={0}
bottom={0}
left={0}
zIndex={99999}
>
<Image src={InvokeLogoWhite} w="8rem" h="8rem" />
<Spinner

View File

@@ -1,5 +1,5 @@
import { deepClone } from 'common/util/deepClone';
import { merge } from 'es-toolkit/compat';
import { merge } from 'lodash-es';
import { ClickScrollPlugin, OverlayScrollbars } from 'overlayscrollbars';
import type { UseOverlayScrollbarsParams } from 'overlayscrollbars-react';
import type { CSSProperties } from 'react';

View File

@@ -1,6 +1,6 @@
.os-scrollbar {
/* The size of the scrollbar */
--os-size: 8px;
--os-size: 9px;
/* The axis-perpedicular padding of the scrollbar (horizontal: padding-y, vertical: padding-x) */
/* --os-padding-perpendicular: 0; */
/* The axis padding of the scrollbar (horizontal: padding-x, vertical: padding-y) */
@@ -8,11 +8,11 @@
/* The border radius of the scrollbar track */
/* --os-track-border-radius: 0; */
/* The background of the scrollbar track */
--os-track-bg: rgba(0, 0, 0, 0.5);
/* --os-track-bg: rgba(0, 0, 0, 0.3); */
/* The :hover background of the scrollbar track */
--os-track-bg-hover: rgba(0, 0, 0, 0.5);
/* --os-track-bg-hover: rgba(0, 0, 0, 0.3); */
/* The :active background of the scrollbar track */
--os-track-bg-active: rgba(0, 0, 0, 0.6);
/* --os-track-bg-active: rgba(0, 0, 0, 0.3); */
/* The border of the scrollbar track */
/* --os-track-border: none; */
/* The :hover background of the scrollbar track */
@@ -22,11 +22,11 @@
/* The border radius of the scrollbar handle */
/* --os-handle-border-radius: 2px; */
/* The background of the scrollbar handle */
--os-handle-bg: var(--invoke-colors-base-400);
/* --os-handle-bg: var(--invokeai-colors-accentAlpha-500); */
/* The :hover background of the scrollbar handle */
--os-handle-bg-hover: var(--invoke-colors-base-300);
/* --os-handle-bg-hover: var(--invokeai-colors-accentAlpha-700); */
/* The :active background of the scrollbar handle */
--os-handle-bg-active: var(--invoke-colors-base-250);
/* --os-handle-bg-active: var(--invokeai-colors-accentAlpha-800); */
/* The border of the scrollbar handle */
/* --os-handle-border: none; */
/* The :hover border of the scrollbar handle */
@@ -34,23 +34,23 @@
/* The :active border of the scrollbar handle */
/* --os-handle-border-active: none; */
/* The min size of the scrollbar handle */
--os-handle-min-size: 32px;
--os-handle-min-size: 50px;
/* The max size of the scrollbar handle */
/* --os-handle-max-size: none; */
/* The axis-perpedicular size of the scrollbar handle (horizontal: height, vertical: width) */
/* --os-handle-perpendicular-size: 100%; */
/* The :hover axis-perpedicular size of the scrollbar handle (horizontal: height, vertical: width) */
--os-handle-perpendicular-size-hover: 100%;
/* --os-handle-perpendicular-size-hover: 100%; */
/* The :active axis-perpedicular size of the scrollbar handle (horizontal: height, vertical: width) */
/* --os-handle-perpendicular-size-active: 100%; */
/* Increases the interactive area of the scrollbar handle. */
--os-handle-interactive-area-offset: -1px;
/* --os-handle-interactive-area-offset: 0; */
}
.os-scrollbar-handle {
/* cursor: grab; */
cursor: grab;
}
.os-scrollbar-handle:active {
/* cursor: grabbing; */
cursor: grabbing;
}

View File

@@ -1,29 +0,0 @@
import { combine } from '@atlaskit/pragmatic-drag-and-drop/combine';
import { dropTargetForElements } from '@atlaskit/pragmatic-drag-and-drop/element/adapter';
import { dropTargetForExternal } from '@atlaskit/pragmatic-drag-and-drop/external/adapter';
import { useTimeoutCallback } from 'common/hooks/useTimeoutCallback';
import type { RefObject } from 'react';
import { useEffect } from 'react';
export const useCallbackOnDragEnter = (cb: () => void, ref: RefObject<HTMLElement>, delay = 300) => {
const [run, cancel] = useTimeoutCallback(cb, delay);
useEffect(() => {
const element = ref.current;
if (!element) {
return;
}
return combine(
dropTargetForElements({
element,
onDragEnter: run,
onDragLeave: cancel,
}),
dropTargetForExternal({
element,
onDragEnter: run,
onDragLeave: cancel,
})
);
}, [cancel, ref, run]);
};

View File

@@ -61,15 +61,6 @@ export const useGlobalHotkeys = () => {
dependencies: [clearQueue],
});
useRegisteredHotkeys({
id: 'selectGenerateTab',
category: 'app',
callback: () => {
dispatch(setActiveTab('generate'));
},
dependencies: [dispatch],
});
useRegisteredHotkeys({
id: 'selectCanvasTab',
category: 'app',
@@ -117,20 +108,4 @@ export const useGlobalHotkeys = () => {
},
dependencies: [dispatch, isModelManagerEnabled],
});
// TODO: implement delete - needs to handle gallery focus, which has changed w/ dockview
// useRegisteredHotkeys({
// id: 'deleteSelection',
// category: 'gallery',
// callback: () => {
// if (!selection.length) {
// return;
// }
// deleteImageModal.delete(selection);
// },
// options: {
// enabled: (isGalleryFocused || isImageViewerFocused) && isDeleteEnabledByTab && !isWorkflowsFocused,
// },
// dependencies: [isWorkflowsFocused, isDeleteEnabledByTab, selection, isWorkflowsFocused],
// });
};

View File

@@ -2,10 +2,10 @@ import type { ComboboxOnChange, ComboboxOption } from '@invoke-ai/ui-library';
import { createSelector } from '@reduxjs/toolkit';
import { useAppSelector } from 'app/store/storeHooks';
import type { GroupBase } from 'chakra-react-select';
import { groupBy, reduce } from 'es-toolkit/compat';
import { selectParamsSlice } from 'features/controlLayers/store/paramsSlice';
import type { ModelIdentifierField } from 'features/nodes/types/common';
import { selectSystemShouldEnableModelDescriptions } from 'features/system/store/systemSlice';
import { groupBy, reduce } from 'lodash-es';
import { useCallback, useMemo } from 'react';
import { useTranslation } from 'react-i18next';
import type { AnyModelConfig } from 'services/api/types';

View File

@@ -1,7 +1,7 @@
import { useAppStore } from 'app/store/nanostores/store';
import { debounce } from 'es-toolkit/compat';
import type { Dimensions } from 'features/controlLayers/store/types';
import { selectUiSlice, textAreaSizesStateChanged } from 'features/ui/store/uiSlice';
import { debounce } from 'lodash-es';
import { type RefObject, useCallback, useEffect, useMemo } from 'react';
type Options = {

View File

@@ -3,10 +3,10 @@ import { EMPTY_ARRAY } from 'app/store/constants';
import { createMemoizedSelector } from 'app/store/createMemoizedSelector';
import { useAppSelector } from 'app/store/storeHooks';
import type { GroupBase } from 'chakra-react-select';
import { uniq } from 'es-toolkit/compat';
import { selectLoRAsSlice } from 'features/controlLayers/store/lorasSlice';
import { selectParamsSlice } from 'features/controlLayers/store/paramsSlice';
import type { ModelIdentifierField } from 'features/nodes/types/common';
import { uniq } from 'lodash-es';
import { useMemo } from 'react';
import { useTranslation } from 'react-i18next';
import { useGetRelatedModelIdsBatchQuery } from 'services/api/endpoints/modelRelationships';

View File

@@ -1,28 +0,0 @@
import type { Selector } from '@reduxjs/toolkit';
import type { RootState } from 'app/store/store';
import { useAppStore } from 'app/store/storeHooks';
import type { Atom, WritableAtom } from 'nanostores';
import { atom } from 'nanostores';
import { useEffect, useState } from 'react';
/* eslint-disable-next-line @typescript-eslint/no-explicit-any */
export const useSelectorAsAtom = <T extends Selector<RootState, any>>(selector: T): Atom<ReturnType<T>> => {
const store = useAppStore();
const $atom = useState<WritableAtom<ReturnType<T>>>(() => atom<ReturnType<T>>(selector(store.getState())))[0];
useEffect(() => {
const unsubscribe = store.subscribe(() => {
const prev = $atom.get();
const next = selector(store.getState());
if (prev !== next) {
$atom.set(next);
}
});
return () => {
unsubscribe();
};
}, [$atom, selector, store]);
return $atom;
};

View File

@@ -1,21 +0,0 @@
import { useCallback, useMemo, useRef } from 'react';
export const useTimeoutCallback = (callback: () => void, delay: number, onCancel?: () => void) => {
const timeoutRef = useRef<number | null>(null);
const cancel = useCallback(() => {
if (timeoutRef.current !== null) {
window.clearTimeout(timeoutRef.current);
timeoutRef.current = null;
onCancel?.();
}
}, [onCancel]);
const callWithTimeout = useCallback(() => {
cancel();
timeoutRef.current = window.setTimeout(() => {
callback();
timeoutRef.current = null;
}, delay);
}, [callback, cancel, delay]);
const api = useMemo(() => [callWithTimeout, cancel] as const, [callWithTimeout, cancel]);
return api;
};

View File

@@ -1,5 +1,5 @@
import { NUMPY_RAND_MAX, NUMPY_RAND_MIN } from 'app/constants';
import { random } from 'es-toolkit/compat';
import { random } from 'lodash-es';
type GenerateSeedsArg = {
count: number;

View File

@@ -1,4 +1,4 @@
import type { z } from 'zod/v4';
import type { z } from 'zod';
/**
* Helper to create a type guard from a zod schema. The type guard will infer the schema's TS type.

View File

@@ -16,7 +16,7 @@ import { useAddImagesToBoardMutation, useRemoveImagesFromBoardMutation } from 's
const selectImagesToChange = createMemoizedSelector(
selectChangeBoardModalSlice,
(changeBoardModal) => changeBoardModal.image_names
(changeBoardModal) => changeBoardModal.imagesToChange
);
const selectIsModalOpen = createSelector(
@@ -57,10 +57,10 @@ const ChangeBoardModal = () => {
}
if (selectedBoard === 'none') {
removeImagesFromBoard({ image_names: imagesToChange });
removeImagesFromBoard({ imageDTOs: imagesToChange });
} else {
addImagesToBoard({
image_names: imagesToChange,
imageDTOs: imagesToChange,
board_id: selectedBoard,
});
}

View File

@@ -2,5 +2,5 @@ import type { ChangeBoardModalState } from './types';
export const initialState: ChangeBoardModalState = {
isModalOpen: false,
image_names: [],
imagesToChange: [],
};

View File

@@ -1,6 +1,7 @@
import type { PayloadAction } from '@reduxjs/toolkit';
import { createSlice } from '@reduxjs/toolkit';
import type { RootState } from 'app/store/store';
import type { ImageDTO } from 'services/api/types';
import { initialState } from './initialState';
@@ -11,11 +12,11 @@ export const changeBoardModalSlice = createSlice({
isModalOpenChanged: (state, action: PayloadAction<boolean>) => {
state.isModalOpen = action.payload;
},
imagesToChangeSelected: (state, action: PayloadAction<string[]>) => {
state.image_names = action.payload;
imagesToChangeSelected: (state, action: PayloadAction<ImageDTO[]>) => {
state.imagesToChange = action.payload;
},
changeBoardReset: (state) => {
state.image_names = [];
state.imagesToChange = [];
state.isModalOpen = false;
},
},

View File

@@ -1,4 +1,6 @@
import type { ImageDTO } from 'services/api/types';
export type ChangeBoardModalState = {
isModalOpen: boolean;
image_names: string[];
imagesToChange: ImageDTO[];
};

View File

@@ -1,18 +1,5 @@
import type { SystemStyleObject } from '@invoke-ai/ui-library';
import {
ContextMenu,
Divider,
Flex,
IconButton,
Menu,
MenuButton,
MenuList,
Tab,
TabList,
TabPanel,
TabPanels,
Tabs,
} from '@invoke-ai/ui-library';
import { ContextMenu, Divider, Flex, IconButton, Menu, MenuButton, MenuList } from '@invoke-ai/ui-library';
import { useAppSelector } from 'app/store/storeHooks';
import { FocusRegionWrapper } from 'common/components/FocusRegionWrapper';
import { CanvasAlertsInvocationProgress } from 'features/controlLayers/components/CanvasAlerts/CanvasAlertsInvocationProgress';
@@ -26,15 +13,12 @@ import { CanvasHUD } from 'features/controlLayers/components/HUD/CanvasHUD';
import { InvokeCanvasComponent } from 'features/controlLayers/components/InvokeCanvasComponent';
import { SelectObject } from 'features/controlLayers/components/SelectObject/SelectObject';
import { CanvasSessionContextProvider } from 'features/controlLayers/components/SimpleSession/context';
import { GenerateLaunchpadPanel } from 'features/controlLayers/components/SimpleSession/GenerateLaunchpadPanel';
import { StagingAreaItemsList } from 'features/controlLayers/components/SimpleSession/StagingAreaItemsList';
import { StagingAreaToolbar } from 'features/controlLayers/components/StagingArea/StagingAreaToolbar';
import { CanvasToolbar } from 'features/controlLayers/components/Toolbar/CanvasToolbar';
import { Transform } from 'features/controlLayers/components/Transform/Transform';
import { CanvasManagerProviderGate } from 'features/controlLayers/contexts/CanvasManagerProviderGate';
import { selectDynamicGrid, selectShowHUD } from 'features/controlLayers/store/canvasSettingsSlice';
import { ImageViewer } from 'features/gallery/components/ImageViewer/ImageViewer';
import { ViewerToolbar } from 'features/gallery/components/ImageViewer/ViewerToolbar';
import { memo, useCallback } from 'react';
import { PiDotsThreeOutlineVerticalFill } from 'react-icons/pi';
@@ -76,107 +60,87 @@ export const AdvancedSession = memo(({ id }: { id: string | null }) => {
}, []);
return (
<Tabs w="full" h="full">
<TabList>
<Tab>Welcome</Tab>
<Tab>Workspace</Tab>
<Tab>Viewer</Tab>
</TabList>
<TabPanels w="full" h="full">
<TabPanel w="full" h="full" justifyContent="center">
<GenerateLaunchpadPanel />
</TabPanel>
<TabPanel w="full" h="full">
<FocusRegionWrapper region="canvas" sx={FOCUS_REGION_STYLES}>
<Flex
tabIndex={-1}
borderRadius="base"
position="relative"
flexDirection="column"
height="full"
width="full"
gap={2}
alignItems="center"
justifyContent="center"
overflow="hidden"
>
<FocusRegionWrapper region="canvas" sx={FOCUS_REGION_STYLES}>
<Flex
tabIndex={-1}
borderRadius="base"
position="relative"
flexDirection="column"
height="full"
width="full"
gap={2}
alignItems="center"
justifyContent="center"
overflow="hidden"
>
<CanvasManagerProviderGate>
<CanvasToolbar />
</CanvasManagerProviderGate>
<Divider />
<ContextMenu<HTMLDivElement> renderMenu={renderMenu} withLongPress={false}>
{(ref) => (
<Flex ref={ref} sx={canvasBgSx} data-dynamic-grid={dynamicGrid}>
<InvokeCanvasComponent />
<CanvasManagerProviderGate>
<CanvasToolbar />
</CanvasManagerProviderGate>
<Divider />
<ContextMenu<HTMLDivElement> renderMenu={renderMenu} withLongPress={false}>
{(ref) => (
<Flex ref={ref} sx={canvasBgSx} data-dynamic-grid={dynamicGrid}>
<InvokeCanvasComponent />
<CanvasManagerProviderGate>
<Flex
position="absolute"
flexDir="column"
top={1}
insetInlineStart={1}
pointerEvents="none"
gap={2}
alignItems="flex-start"
>
{showHUD && <CanvasHUD />}
<CanvasAlertsSelectedEntityStatus />
<CanvasAlertsPreserveMask />
<CanvasAlertsInvocationProgress />
</Flex>
<Flex position="absolute" top={1} insetInlineEnd={1}>
<Menu>
<MenuButton as={IconButton} icon={<PiDotsThreeOutlineVerticalFill />} colorScheme="base" />
<MenuContent />
</Menu>
</Flex>
</CanvasManagerProviderGate>
</Flex>
)}
</ContextMenu>
{id !== null && (
<CanvasManagerProviderGate>
<CanvasSessionContextProvider type="advanced" id={id}>
<Flex
position="absolute"
flexDir="column"
bottom={4}
gap={2}
align="center"
justify="center"
left={4}
right={4}
>
<Flex position="relative" maxW="full" w="full" h={108}>
<StagingAreaItemsList />
</Flex>
<Flex gap={2}>
<StagingAreaToolbar />
</Flex>
</Flex>
</CanvasSessionContextProvider>
</CanvasManagerProviderGate>
)}
<Flex position="absolute" bottom={4}>
<CanvasManagerProviderGate>
<Filter />
<Transform />
<SelectObject />
</CanvasManagerProviderGate>
</Flex>
<CanvasManagerProviderGate>
<CanvasDropArea />
<Flex
position="absolute"
flexDir="column"
top={1}
insetInlineStart={1}
pointerEvents="none"
gap={2}
alignItems="flex-start"
>
{showHUD && <CanvasHUD />}
<CanvasAlertsSelectedEntityStatus />
<CanvasAlertsPreserveMask />
<CanvasAlertsInvocationProgress />
</Flex>
<Flex position="absolute" top={1} insetInlineEnd={1}>
<Menu>
<MenuButton as={IconButton} icon={<PiDotsThreeOutlineVerticalFill />} colorScheme="base" />
<MenuContent />
</Menu>
</Flex>
</CanvasManagerProviderGate>
</Flex>
</FocusRegionWrapper>
</TabPanel>
<TabPanel w="full" h="full">
<Flex flexDir="column" w="full" h="full">
<ViewerToolbar />
<ImageViewer />
</Flex>
</TabPanel>
</TabPanels>
</Tabs>
)}
</ContextMenu>
{id !== null && (
<CanvasManagerProviderGate>
<CanvasSessionContextProvider type="advanced" id={id}>
<Flex
position="absolute"
flexDir="column"
bottom={4}
gap={2}
align="center"
justify="center"
left={4}
right={4}
>
<Flex position="relative" maxW="full" w="full" h={108}>
<StagingAreaItemsList />
</Flex>
<Flex gap={2}>
<StagingAreaToolbar />
</Flex>
</Flex>
</CanvasSessionContextProvider>
</CanvasManagerProviderGate>
)}
<Flex position="absolute" bottom={4}>
<CanvasManagerProviderGate>
<Filter />
<Transform />
<SelectObject />
</CanvasManagerProviderGate>
</Flex>
<CanvasManagerProviderGate>
<CanvasDropArea />
</CanvasManagerProviderGate>
</Flex>
</FocusRegionWrapper>
);
});
AdvancedSession.displayName = 'AdvancedSession';

View File

@@ -118,7 +118,7 @@ export const CanvasEntityGroupList = memo(({ isSelected, type, children, entityI
return (
<Flex flexDir="column" w="full">
<Flex w="full" ps={2}>
<Flex w="full">
<Flex
flexGrow={1}
as={Button}

View File

@@ -15,7 +15,6 @@ import {
} from '@invoke-ai/ui-library';
import { createSelector } from '@reduxjs/toolkit';
import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
import { clamp, round } from 'es-toolkit/compat';
import { snapToNearest } from 'features/controlLayers/konva/util';
import { entityOpacityChanged } from 'features/controlLayers/store/canvasSlice';
import {
@@ -23,6 +22,7 @@ import {
selectEntity,
selectSelectedEntityIdentifier,
} from 'features/controlLayers/store/selectors';
import { clamp, round } from 'lodash-es';
import type { KeyboardEvent } from 'react';
import { memo, useCallback, useEffect, useState } from 'react';
import { useTranslation } from 'react-i18next';

View File

@@ -1,20 +1,25 @@
import { Divider, Flex } from '@invoke-ai/ui-library';
import { Divider, Flex, type SystemStyleObject } from '@invoke-ai/ui-library';
import { useAppSelector } from 'app/store/storeHooks';
import { FocusRegionWrapper } from 'common/components/FocusRegionWrapper';
import { CanvasAddEntityButtons } from 'features/controlLayers/components/CanvasAddEntityButtons';
import { CanvasEntityList } from 'features/controlLayers/components/CanvasEntityList/CanvasEntityList';
import { EntityListSelectedEntityActionBar } from 'features/controlLayers/components/CanvasEntityList/EntityListSelectedEntityActionBar';
import { CanvasManagerProviderGate } from 'features/controlLayers/contexts/CanvasManagerProviderGate';
import { selectHasEntities } from 'features/controlLayers/store/selectors';
import { memo } from 'react';
import { ParamDenoisingStrength } from './ParamDenoisingStrength';
export const CanvasLayersPanel = memo(() => {
const FOCUS_REGION_STYLES: SystemStyleObject = {
width: 'full',
height: 'full',
};
export const CanvasLayersPanelContent = memo(() => {
const hasEntities = useAppSelector(selectHasEntities);
return (
<CanvasManagerProviderGate>
<Flex flexDir="column" gap={2} w="full" h="full" p={2}>
<FocusRegionWrapper region="layers" sx={FOCUS_REGION_STYLES}>
<Flex flexDir="column" gap={2} w="full" h="full">
<EntityListSelectedEntityActionBar />
<Divider py={0} />
<ParamDenoisingStrength />
@@ -22,8 +27,8 @@ export const CanvasLayersPanel = memo(() => {
{!hasEntities && <CanvasAddEntityButtons />}
{hasEntities && <CanvasEntityList />}
</Flex>
</CanvasManagerProviderGate>
</FocusRegionWrapper>
);
});
CanvasLayersPanel.displayName = 'CanvasLayersPanel';
CanvasLayersPanelContent.displayName = 'CanvasLayersPanelContent';

View File

@@ -3,10 +3,10 @@ import { Combobox, Flex, FormControl, FormLabel } from '@invoke-ai/ui-library';
import { createSelector } from '@reduxjs/toolkit';
import { useAppSelector } from 'app/store/storeHooks';
import { InformationalPopover } from 'common/components/InformationalPopover/InformationalPopover';
import { includes, map } from 'es-toolkit/compat';
import type { FilterConfig } from 'features/controlLayers/store/filters';
import { IMAGE_FILTERS, isFilterType } from 'features/controlLayers/store/filters';
import { selectConfigSlice } from 'features/system/store/configSlice';
import { includes, map } from 'lodash-es';
import { memo, useCallback, useMemo } from 'react';
import { useTranslation } from 'react-i18next';
import { assert } from 'tsafe';

View File

@@ -0,0 +1,132 @@
import {
Divider,
Flex,
IconButton,
Image,
Popover,
PopoverAnchor,
PopoverArrow,
PopoverBody,
PopoverContent,
Portal,
Skeleton,
} from '@invoke-ai/ui-library';
import { skipToken } from '@reduxjs/toolkit/query';
import { POPPER_MODIFIERS } from 'common/components/InformationalPopover/constants';
import type { UseDisclosure } from 'common/hooks/useBoolean';
import { useDisclosure } from 'common/hooks/useBoolean';
import { DEFAULT_FILTER, useFilterableOutsideClick } from 'common/hooks/useFilterableOutsideClick';
import { RefImageHeader } from 'features/controlLayers/components/RefImage/RefImageHeader';
import { RefImageSettings } from 'features/controlLayers/components/RefImage/RefImageSettings';
import { useRefImageEntity } from 'features/controlLayers/components/RefImage/useRefImageEntity';
import { useRefImageIdContext } from 'features/controlLayers/contexts/RefImageIdContext';
import { memo, useCallback, useRef } from 'react';
import { PiImageBold } from 'react-icons/pi';
import { useGetImageDTOQuery } from 'services/api/endpoints/images';
// There is some awkwardness here with closing the popover when clicking outside of it, related to Chakra's
// handling of refs, portals, outside clicks, and a race condition with framer-motion animations that can leave
// the popover closed when its internal state is still open.
//
// We have to manually manage the popover open state to work around the race condition, and then have to do special
// handling to close the popover when clicking outside of it.
// We have to reach outside react to identify the popover trigger element instead of using refs, thanks to how Chakra
// handles refs for PopoverAnchor internally. Maybe there is some way to merge them but I couldn't figure it out.
const getRefImagePopoverTriggerId = (id: string) => `ref-image-popover-trigger-${id}`;
export const RefImage = memo(() => {
const id = useRefImageIdContext();
const ref = useRef<HTMLDivElement>(null);
const disclosure = useDisclosure(false);
// This filter prevents the popover from closing when clicking on a sibling portal element, like the dropdown menu
// inside the ref image settings popover. It also prevents the popover from closing when clicking on the popover's
// own trigger element.
const filter = useCallback(
(el: HTMLElement | SVGElement) => {
return DEFAULT_FILTER(el) || el.id === getRefImagePopoverTriggerId(id);
},
[id]
);
useFilterableOutsideClick({ ref, handler: disclosure.close, filter });
return (
<Popover
// The popover contains a react-select component, which uses a portal to render its options. This portal
// is itself not lazy. As a result, if we do not unmount the popover when it is closed, the react-select
// component still exists but is invisible, and intercepts clicks!
isLazy
lazyBehavior="unmount"
isOpen={disclosure.isOpen}
closeOnBlur={false}
modifiers={POPPER_MODIFIERS}
>
<Thumbnail disclosure={disclosure} />
<Portal>
<PopoverContent ref={ref} w={400}>
<PopoverArrow />
<PopoverBody>
<Flex flexDir="column" gap={2} w="full" h="full">
<RefImageHeader />
<Divider />
<RefImageSettings />
</Flex>
</PopoverBody>
</PopoverContent>
</Portal>
</Popover>
);
});
RefImage.displayName = 'RefImage';
const Thumbnail = memo(({ disclosure }: { disclosure: UseDisclosure }) => {
const id = useRefImageIdContext();
const entity = useRefImageEntity(id);
const { data: imageDTO } = useGetImageDTOQuery(entity.config.image?.image_name ?? skipToken);
if (!entity.config.image) {
return (
<PopoverAnchor>
<IconButton
id={getRefImagePopoverTriggerId(id)}
aria-label="Open Reference Image Settings"
h="full"
variant="ghost"
aspectRatio="1/1"
borderWidth="2px !important"
borderStyle="dashed !important"
borderColor="errorAlpha.500"
borderRadius="base"
icon={<PiImageBold />}
colorScheme="error"
onClick={disclosure.toggle}
flexShrink={0}
/>
</PopoverAnchor>
);
}
return (
<PopoverAnchor>
<Image
borderWidth={1}
borderStyle="solid"
id={getRefImagePopoverTriggerId(id)}
role="button"
src={imageDTO?.thumbnail_url}
objectFit="contain"
aspectRatio="1/1"
// width={imageDTO?.width}
height={imageDTO?.height}
fallback={<Skeleton h="full" aspectRatio="1/1" />}
maxW="full"
maxH="full"
borderRadius="base"
onClick={disclosure.toggle}
flexShrink={0}
// sx={imageSx}
// data-is-open={disclosure.isOpen}
/>
</PopoverAnchor>
);
});
Thumbnail.displayName = 'Thumbnail';

View File

@@ -1,46 +1,38 @@
import type { SystemStyleObject } from '@invoke-ai/ui-library';
import { Flex, IconButton, Text } from '@invoke-ai/ui-library';
import { createSelector } from '@reduxjs/toolkit';
import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
import { useAppDispatch } from 'app/store/storeHooks';
import { useRefImageEntity } from 'features/controlLayers/components/RefImage/useRefImageEntity';
import { useRefImageIdContext } from 'features/controlLayers/contexts/RefImageIdContext';
import { refImageDeleted, selectRefImageEntityIds } from 'features/controlLayers/store/refImagesSlice';
import { memo, useCallback, useMemo } from 'react';
import { refImageDeleted } from 'features/controlLayers/store/refImagesSlice';
import { memo, useCallback } from 'react';
import { PiTrashBold } from 'react-icons/pi';
const textSx: SystemStyleObject = {
color: 'base.300',
'&[data-is-error="true"]': {
color: 'error.300',
},
};
export const RefImageHeader = memo(() => {
const dispatch = useAppDispatch();
const id = useRefImageIdContext();
const selectRefImageNumber = useMemo(
() => createSelector(selectRefImageEntityIds, (ids) => ids.indexOf(id) + 1),
[id]
);
const refImageNumber = useAppSelector(selectRefImageNumber);
const dispatch = useAppDispatch();
const entity = useRefImageEntity(id);
const deleteRefImage = useCallback(() => {
dispatch(refImageDeleted({ id }));
}, [dispatch, id]);
return (
<Flex justifyContent="space-between" alignItems="center" w="full" ps={2}>
<Text fontWeight="semibold" sx={textSx} data-is-error={!entity.config.image}>
Reference Image #{refImageNumber}
</Text>
<Flex justifyContent="space-between" alignItems="center" w="full">
{entity.config.image !== null && (
<Text fontWeight="semibold" color="base.300">
Reference Image
</Text>
)}
{entity.config.image === null && (
<Text fontWeight="semibold" color="base.300">
No Reference Image Selected
</Text>
)}
<IconButton
tooltip="Delete Reference Image"
size="xs"
variant="link"
alignSelf="stretch"
aria-label="Delete ref image"
onClick={deleteRefImage}
icon={<PiTrashBold />}
onClick={deleteRefImage}
aria-label="Delete reference image"
colorScheme="error"
/>
</Flex>

View File

@@ -1,16 +1,12 @@
import { Button, Collapse, Divider, Flex } from '@invoke-ai/ui-library';
import type { FlexProps } from '@invoke-ai/ui-library';
import { Button, Flex } from '@invoke-ai/ui-library';
import { useAppStore } from 'app/store/nanostores/store';
import { useAppSelector } from 'app/store/storeHooks';
import { useImageUploadButton } from 'common/hooks/useImageUploadButton';
import { RefImagePreview } from 'features/controlLayers/components/RefImage/RefImagePreview';
import { RefImage } from 'features/controlLayers/components/RefImage/RefImage';
import { RefImageIdContext } from 'features/controlLayers/contexts/RefImageIdContext';
import { getDefaultRefImageConfig } from 'features/controlLayers/hooks/addLayerHooks';
import {
refImageAdded,
selectIsRefImagePanelOpen,
selectRefImageEntityIds,
selectSelectedRefEntityId,
} from 'features/controlLayers/store/refImagesSlice';
import { refImageAdded, selectRefImageEntityIds } from 'features/controlLayers/store/refImagesSlice';
import { imageDTOToImageWithDims } from 'features/controlLayers/store/util';
import { addGlobalReferenceImageDndTarget } from 'features/dnd/dnd';
import { DndDropTarget } from 'features/dnd/DndDropTarget';
@@ -18,38 +14,17 @@ import { memo, useMemo } from 'react';
import { PiUploadBold } from 'react-icons/pi';
import type { ImageDTO } from 'services/api/types';
import { RefImageHeader } from './RefImageHeader';
import { RefImageSettings } from './RefImageSettings';
export const RefImageList = memo(() => {
export const RefImageList = memo((props: FlexProps) => {
const ids = useAppSelector(selectRefImageEntityIds);
const isPanelOpen = useAppSelector(selectIsRefImagePanelOpen);
const selectedEntityId = useAppSelector(selectSelectedRefEntityId);
return (
<Flex flexDir="column">
<Flex gap={2} h={16}>
{ids.map((id) => (
<RefImageIdContext.Provider key={id} value={id}>
<RefImagePreview />
</RefImageIdContext.Provider>
))}
{ids.length < 5 && <AddRefImageDropTargetAndButton />}
{ids.length >= 5 && <MaxRefImages />}
</Flex>
<Collapse in={isPanelOpen}>
<Flex pt={2} w="full">
{selectedEntityId !== null && (
<RefImageIdContext.Provider value={selectedEntityId}>
<Flex flexDir="column" gap={2} w="full" h="full" borderRadius="base" bg="base.800" p={2}>
<RefImageHeader />
<Divider />
<RefImageSettings />
</Flex>
</RefImageIdContext.Provider>
)}
</Flex>
</Collapse>
<Flex gap={2} h={16} {...props}>
{ids.map((id) => (
<RefImageIdContext.Provider key={id} value={id}>
<RefImage />
</RefImageIdContext.Provider>
))}
{ids.length < 5 && <AddRefImageDropTargetAndButton />}
{ids.length >= 5 && <MaxRefImages />}
</Flex>
);
});

View File

@@ -47,7 +47,7 @@ export const RefImageModel = memo(({ modelKey, onChangeModel }: Props) => {
return (
<Tooltip label={selectedModel?.description}>
<FormControl isInvalid={!value || currentBaseModel !== selectedModel?.base} w="full" minW={0}>
<FormControl isInvalid={!value || currentBaseModel !== selectedModel?.base} w="full">
<Combobox
options={options}
placeholder={t('common.placeholderSelectAModel')}

View File

@@ -1,162 +0,0 @@
import type { SystemStyleObject } from '@invoke-ai/ui-library';
import { Flex, Icon, IconButton, Image, Skeleton, Text } from '@invoke-ai/ui-library';
import { skipToken } from '@reduxjs/toolkit/query';
import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
import { round } from 'es-toolkit/compat';
import { useRefImageEntity } from 'features/controlLayers/components/RefImage/useRefImageEntity';
import { useRefImageIdContext } from 'features/controlLayers/contexts/RefImageIdContext';
import {
refImageSelected,
selectIsRefImagePanelOpen,
selectSelectedRefEntityId,
} from 'features/controlLayers/store/refImagesSlice';
import { isIPAdapterConfig } from 'features/controlLayers/store/types';
import { memo, useCallback, useEffect, useMemo, useState } from 'react';
import { PiExclamationMarkBold, PiImageBold } from 'react-icons/pi';
import { useGetImageDTOQuery } from 'services/api/endpoints/images';
const baseSx: SystemStyleObject = {
'&[data-is-open="true"]': {
borderColor: 'invokeBlue.300',
},
};
const weightDisplaySx: SystemStyleObject = {
pointerEvents: 'none',
transitionProperty: 'opacity',
transitionDuration: 'normal',
opacity: 0,
'&[data-visible="true"]': {
opacity: 1,
},
};
const getImageSxWithWeight = (weight: number): SystemStyleObject => {
const fillPercentage = Math.max(0, Math.min(100, weight * 100));
return {
...baseSx,
_after: {
content: '""',
position: 'absolute',
inset: 0,
background: `linear-gradient(to top, transparent ${fillPercentage}%, rgba(0, 0, 0, 0.8) ${fillPercentage}%)`,
pointerEvents: 'none',
borderRadius: 'base',
},
};
};
export const RefImagePreview = memo(() => {
const dispatch = useAppDispatch();
const id = useRefImageIdContext();
const entity = useRefImageEntity(id);
const selectedEntityId = useAppSelector(selectSelectedRefEntityId);
const isPanelOpen = useAppSelector(selectIsRefImagePanelOpen);
const [showWeightDisplay, setShowWeightDisplay] = useState(false);
const { data: imageDTO } = useGetImageDTOQuery(entity.config.image?.image_name ?? skipToken);
const sx = useMemo(() => {
if (!isIPAdapterConfig(entity.config)) {
return baseSx;
}
return getImageSxWithWeight(entity.config.weight);
}, [entity.config]);
useEffect(() => {
if (!isIPAdapterConfig(entity.config)) {
return;
}
setShowWeightDisplay(true);
const timeout = window.setTimeout(() => {
setShowWeightDisplay(false);
}, 1000);
return () => {
window.clearTimeout(timeout);
};
}, [entity.config]);
const onClick = useCallback(() => {
dispatch(refImageSelected({ id }));
}, [dispatch, id]);
if (!entity.config.image) {
return (
<IconButton
aria-label="Select Ref Image"
h="full"
variant="ghost"
aspectRatio="1/1"
borderWidth={1}
borderStyle="solid"
borderColor="error.300"
borderRadius="base"
icon={<PiImageBold />}
colorScheme="error"
onClick={onClick}
flexShrink={0}
data-is-open={selectedEntityId === id && isPanelOpen}
data-is-error={true}
sx={sx}
/>
);
}
return (
<Flex
position="relative"
borderWidth={1}
borderStyle="solid"
borderRadius="base"
aspectRatio="1/1"
maxW="full"
maxH="full"
flexShrink={0}
sx={sx}
data-is-open={selectedEntityId === id && isPanelOpen}
data-is-error={!entity.config.model}
role="button"
onClick={onClick}
cursor="pointer"
>
<Image
src={imageDTO?.thumbnail_url}
objectFit="contain"
aspectRatio="1/1"
height={imageDTO?.height}
fallback={<Skeleton h="full" aspectRatio="1/1" />}
maxW="full"
maxH="full"
borderRadius="base"
/>
{isIPAdapterConfig(entity.config) && (
<Flex
position="absolute"
inset={0}
fontWeight="semibold"
alignItems="center"
justifyContent="center"
zIndex={1}
data-visible={showWeightDisplay}
sx={weightDisplaySx}
>
<Text filter="drop-shadow(0px 0px 4px rgb(0, 0, 0)) drop-shadow(0px 0px 2px rgba(0, 0, 0, 1))">
{`${round(entity.config.weight * 100, 2)}%`}
</Text>
</Flex>
)}
{!entity.config.model && (
<Icon
position="absolute"
top="50%"
left="50%"
transform="translateX(-50%) translateY(-50%)"
filter="drop-shadow(0px 0px 4px rgb(0, 0, 0)) drop-shadow(0px 0px 2px rgba(0, 0, 0, 1))"
color="error.500"
boxSize={16}
as={PiExclamationMarkBold}
/>
)}
</Flex>
);
});
RefImagePreview.displayName = 'RefImagePreview';

View File

@@ -1,42 +0,0 @@
import { Button, Flex, Grid, Heading, Text } from '@invoke-ai/ui-library';
import { useAutoLayoutContext } from 'features/ui/layouts/auto-layout-context';
import { WORKSPACE_PANEL_ID } from 'features/ui/layouts/shared';
import { memo, useCallback } from 'react';
import { InitialStateMainModelPicker } from './InitialStateMainModelPicker';
import { LaunchpadAddStyleReference } from './LaunchpadAddStyleReference';
import { LaunchpadEditImageButton } from './LaunchpadEditImageButton';
import { LaunchpadGenerateFromTextButton } from './LaunchpadGenerateFromTextButton';
import { LaunchpadUseALayoutImageButton } from './LaunchpadUseALayoutImageButton';
export const CanvasLaunchpadPanel = memo(() => {
const ctx = useAutoLayoutContext();
const focusCanvas = useCallback(() => {
ctx.focusPanel(WORKSPACE_PANEL_ID);
}, [ctx]);
return (
<Flex flexDir="column" h="full" w="full" alignItems="center" gap={2}>
<Flex flexDir="column" w="full" gap={4} px={14} maxW={768} pt="20vh">
<Heading mb={4}>Edit and refine on Canvas.</Heading>
<Flex flexDir="column" gap={8}>
<Grid gridTemplateColumns="1fr 1fr" gap={8}>
<InitialStateMainModelPicker />
<Flex flexDir="column" gap={2} justifyContent="center">
<Text>
Want to learn what prompts work best for each model?{' '}
<Button as="a" variant="link" href="#" size="sm">
Check our our Model Guide.
</Button>
</Text>
</Flex>
</Grid>
<LaunchpadGenerateFromTextButton extraAction={focusCanvas} />
<LaunchpadAddStyleReference extraAction={focusCanvas} />
<LaunchpadEditImageButton extraAction={focusCanvas} />
<LaunchpadUseALayoutImageButton extraAction={focusCanvas} />
</Flex>
</Flex>
</Flex>
);
});
CanvasLaunchpadPanel.displayName = 'CanvasLaunchpadPanel';

View File

@@ -1,26 +1,29 @@
import { Alert, Button, Flex, Grid, Heading, Text } from '@invoke-ai/ui-library';
import { Alert, Button, Divider, Flex, Grid, Heading, Text } from '@invoke-ai/ui-library';
import { useAppDispatch } from 'app/store/storeHooks';
import { InitialStateAddAStyleReference } from 'features/controlLayers/components/SimpleSession/InitialStateAddAStyleReference';
import { InitialStateGenerateFromText } from 'features/controlLayers/components/SimpleSession/InitialStateGenerateFromText';
import { InitialStateMainModelPicker } from 'features/controlLayers/components/SimpleSession/InitialStateMainModelPicker';
import { LaunchpadAddStyleReference } from 'features/controlLayers/components/SimpleSession/LaunchpadAddStyleReference';
import { setActiveTab } from 'features/ui/store/uiSlice';
import { memo, useCallback } from 'react';
import { LaunchpadGenerateFromTextButton } from './LaunchpadGenerateFromTextButton';
export const GenerateLaunchpadPanel = memo(() => {
export const InitialState = memo(() => {
const dispatch = useAppDispatch();
const newCanvasSession = useCallback(() => {
dispatch(setActiveTab('canvas'));
}, [dispatch]);
return (
<Flex flexDir="column" h="full" w="full" alignItems="center" gap={2}>
<Flex flexDir="column" w="full" gap={4} px={14} maxW={768} pt="20vh">
<Heading mb={4}>Generate images from text prompts.</Heading>
<Flex flexDir="column" gap={8}>
<Grid gridTemplateColumns="1fr 1fr" gap={8}>
<Flex flexDir="column" h="full" w="full" gap={2}>
<Flex px={2} alignItems="center" minH="24px">
<Heading size="sm">Get Started</Heading>
</Flex>
<Divider />
<Flex flexDir="column" h="full" justifyContent="center" mx={16}>
<Heading mb={4}>Get started with Invoke.</Heading>
<Flex flexDir="column" gap={4}>
<Grid gridTemplateColumns="1fr 1fr" gap={4}>
<InitialStateMainModelPicker />
<Flex flexDir="column" gap={2} justifyContent="center">
<Flex flexDir="column" gap={2}>
<Text>
Want to learn what prompts work best for each model?{' '}
<Button as="a" variant="link" href="#" size="sm">
@@ -29,8 +32,8 @@ export const GenerateLaunchpadPanel = memo(() => {
</Text>
</Flex>
</Grid>
<LaunchpadGenerateFromTextButton />
<LaunchpadAddStyleReference />
<InitialStateGenerateFromText />
<InitialStateAddAStyleReference />
<Alert status="info" borderRadius="base" flexDir="column" gap={2} overflow="unset">
<Text fontSize="md" fontWeight="semibold">
Looking to get more control, edit, and iterate on your images?
@@ -44,4 +47,4 @@ export const GenerateLaunchpadPanel = memo(() => {
</Flex>
);
});
GenerateLaunchpadPanel.displayName = 'GenerateLaunchpad';
InitialState.displayName = 'InitialState';

View File

@@ -1,7 +1,7 @@
import { Flex, Heading, Icon, Text } from '@invoke-ai/ui-library';
import { useAppStore } from 'app/store/nanostores/store';
import { useImageUploadButton } from 'common/hooks/useImageUploadButton';
import { LaunchpadButton } from 'features/controlLayers/components/SimpleSession/LaunchpadButton';
import { InitialStateButtonGridItem } from 'features/controlLayers/components/SimpleSession/InitialStateButtonGridItem';
import { getDefaultRefImageConfig } from 'features/controlLayers/hooks/addLayerHooks';
import { refImageAdded } from 'features/controlLayers/store/refImagesSlice';
import { imageDTOToImageWithDims } from 'features/controlLayers/store/util';
@@ -13,7 +13,7 @@ import type { ImageDTO } from 'services/api/types';
const dndTargetData = addGlobalReferenceImageDndTarget.getData();
export const LaunchpadAddStyleReference = memo((props: { extraAction?: () => void }) => {
export const InitialStateAddAStyleReference = memo(() => {
const { dispatch, getState } = useAppStore();
const uploadOptions = useMemo(
@@ -23,17 +23,16 @@ export const LaunchpadAddStyleReference = memo((props: { extraAction?: () => voi
const config = getDefaultRefImageConfig(getState);
config.image = imageDTOToImageWithDims(imageDTO);
dispatch(refImageAdded({ overrides: { config } }));
props.extraAction?.();
},
allowMultiple: false,
}) as const,
[dispatch, getState, props]
[dispatch, getState]
);
const uploadApi = useImageUploadButton(uploadOptions);
return (
<LaunchpadButton {...uploadApi.getUploadButtonProps()} position="relative" gap={8}>
<InitialStateButtonGridItem {...uploadApi.getUploadButtonProps()} position="relative" gap={8}>
<Icon as={PiUserCircleGearBold} boxSize={8} color="base.500" />
<Flex flexDir="column" alignItems="flex-start" gap={2}>
<Heading size="sm">Add a Style Reference</Heading>
@@ -44,7 +43,7 @@ export const LaunchpadAddStyleReference = memo((props: { extraAction?: () => voi
<input {...uploadApi.getUploadInputProps()} />
</Flex>
<DndDropTarget dndTarget={newCanvasFromImageDndTarget} dndTargetData={dndTargetData} label="Drop" />
</LaunchpadButton>
</InitialStateButtonGridItem>
);
});
LaunchpadAddStyleReference.displayName = 'LaunchpadAddStyleReference';
InitialStateAddAStyleReference.displayName = 'InitialStateAddAStyleReference';

View File

@@ -2,7 +2,7 @@ import type { ButtonProps } from '@invoke-ai/ui-library';
import { Button, forwardRef } from '@invoke-ai/ui-library';
import { memo } from 'react';
export const LaunchpadButton = memo(
export const InitialStateButtonGridItem = memo(
forwardRef(({ children, ...rest }: ButtonProps, ref) => {
return (
<Button
@@ -26,4 +26,4 @@ export const LaunchpadButton = memo(
})
);
LaunchpadButton.displayName = 'LaunchpadButton';
InitialStateButtonGridItem.displayName = 'InitialStateButtonGridItem';

View File

@@ -1,7 +1,7 @@
import { Flex, Heading, Icon, Text } from '@invoke-ai/ui-library';
import { useAppStore } from 'app/store/nanostores/store';
import { useImageUploadButton } from 'common/hooks/useImageUploadButton';
import { LaunchpadButton } from 'features/controlLayers/components/SimpleSession/LaunchpadButton';
import { InitialStateButtonGridItem } from 'features/controlLayers/components/SimpleSession/InitialStateButtonGridItem';
import { newCanvasFromImageDndTarget } from 'features/dnd/dnd';
import { DndDropTarget } from 'features/dnd/DndDropTarget';
import { newCanvasFromImage } from 'features/imageActions/actions';
@@ -13,31 +13,28 @@ const NEW_CANVAS_OPTIONS = { type: 'raster_layer', withInpaintMask: true } as co
const dndTargetData = newCanvasFromImageDndTarget.getData(NEW_CANVAS_OPTIONS);
export const LaunchpadEditImageButton = memo((props: { extraAction?: () => void }) => {
export const InitialStateEditImageCard = memo(() => {
const { getState, dispatch } = useAppStore();
const onUpload = useCallback(
(imageDTO: ImageDTO) => {
newCanvasFromImage({ imageDTO, getState, dispatch, ...NEW_CANVAS_OPTIONS });
props.extraAction?.();
},
[dispatch, getState, props]
[dispatch, getState]
);
const uploadApi = useImageUploadButton({ allowMultiple: false, onUpload });
return (
<LaunchpadButton {...uploadApi.getUploadButtonProps()} position="relative" gap={8}>
<InitialStateButtonGridItem {...uploadApi.getUploadButtonProps()}>
<Icon as={PiPencilBold} boxSize={8} color="base.500" />
<Flex flexDir="column" alignItems="flex-start" gap={2}>
<Heading size="sm">Edit Image</Heading>
<Text color="base.300">Add an image to refine.</Text>
</Flex>
<Flex position="absolute" right={3} bottom={3}>
<Heading size="sm">Edit Image</Heading>
<Text color="base.300">Add an image to refine.</Text>
<Flex w="full" justifyContent="flex-end" p={2}>
<PiUploadBold />
<input {...uploadApi.getUploadInputProps()} />
</Flex>
<DndDropTarget dndTarget={newCanvasFromImageDndTarget} dndTargetData={dndTargetData} label="Drop" />
</LaunchpadButton>
</InitialStateButtonGridItem>
);
});
LaunchpadEditImageButton.displayName = 'LaunchpadEditImageButton';
InitialStateEditImageCard.displayName = 'InitialStateEditImageCard';

View File

@@ -0,0 +1,28 @@
import { Flex, Heading, Icon, Text } from '@invoke-ai/ui-library';
import { InitialStateButtonGridItem } from 'features/controlLayers/components/SimpleSession/InitialStateButtonGridItem';
import { memo } from 'react';
import { PiCursorTextBold, PiTextAaBold } from 'react-icons/pi';
const focusOnPrompt = () => {
const promptElement = document.getElementById('prompt');
if (promptElement instanceof HTMLTextAreaElement) {
promptElement.focus();
promptElement.select();
}
};
export const InitialStateGenerateFromText = memo(() => {
return (
<InitialStateButtonGridItem onClick={focusOnPrompt} position="relative" gap={8}>
<Icon as={PiTextAaBold} boxSize={8} color="base.500" />
<Flex flexDir="column" alignItems="flex-start" gap={2}>
<Heading size="sm">Generate from Text</Heading>
<Text color="base.300">Enter a prompt and Invoke.</Text>
</Flex>
<Flex position="absolute" right={3} bottom={3}>
<PiCursorTextBold />
</Flex>
</InitialStateButtonGridItem>
);
});
InitialStateGenerateFromText.displayName = 'InitialStateGenerateFromText';

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