From d284e0567ab5603a9759df6fb7dfd7a624396e77 Mon Sep 17 00:00:00 2001 From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com> Date: Thu, 4 Apr 2024 17:35:17 +0530 Subject: [PATCH 01/12] fix: ip adapter clip selection being broken --- invokeai/app/invocations/ip_adapter.py | 13 ++++--------- invokeai/frontend/web/src/services/api/schema.ts | 6 +++--- 2 files changed, 7 insertions(+), 12 deletions(-) diff --git a/invokeai/app/invocations/ip_adapter.py b/invokeai/app/invocations/ip_adapter.py index 40a667c9d0..0ac40e97fb 100644 --- a/invokeai/app/invocations/ip_adapter.py +++ b/invokeai/app/invocations/ip_adapter.py @@ -65,7 +65,7 @@ class IPAdapterInvocation(BaseInvocation): ui_order=-1, ui_type=UIType.IPAdapterModel, ) - clip_vision_model: Literal["auto", "ViT-H", "ViT-G"] = InputField( + clip_vision_model: Literal["ViT-H", "ViT-G"] = InputField( description="CLIP Vision model to use. Overrides model settings. Mandatory for checkpoint models.", default="auto", ui_order=2, @@ -96,14 +96,9 @@ class IPAdapterInvocation(BaseInvocation): ip_adapter_info = context.models.get_config(self.ip_adapter_model.key) assert isinstance(ip_adapter_info, (IPAdapterInvokeAIConfig, IPAdapterCheckpointConfig)) - if self.clip_vision_model == "auto": - if isinstance(ip_adapter_info, IPAdapterInvokeAIConfig): - image_encoder_model_id = ip_adapter_info.image_encoder_model_id - image_encoder_model_name = image_encoder_model_id.split("/")[-1].strip() - else: - raise RuntimeError( - "You need to set the appropriate CLIP Vision model for checkpoint IP Adapter models." - ) + if isinstance(ip_adapter_info, IPAdapterInvokeAIConfig): + image_encoder_model_id = ip_adapter_info.image_encoder_model_id + image_encoder_model_name = image_encoder_model_id.split("/")[-1].strip() else: image_encoder_model_name = CLIP_VISION_MODEL_MAP[self.clip_vision_model] diff --git a/invokeai/frontend/web/src/services/api/schema.ts b/invokeai/frontend/web/src/services/api/schema.ts index 6e3ddf678b..41e60fa029 100644 --- a/invokeai/frontend/web/src/services/api/schema.ts +++ b/invokeai/frontend/web/src/services/api/schema.ts @@ -4112,7 +4112,7 @@ export type components = { * @description The nodes in this graph */ nodes: { - [key: string]: components["schemas"]["StringInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["MetadataItemInvocation"] | components["schemas"]["MergeMetadataInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["CenterPadCropInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["UnsharpMaskInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["MetadataInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["CLIPSkipInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["DepthAnythingImageProcessorInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["VAELoaderInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["FreeUInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["TileToPropertiesInvocation"] | components["schemas"]["CreateGradientMaskInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["DWOpenposeImageProcessorInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["BooleanInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["MaskFromIDInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["CropLatentsCoreInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["IdealSizeInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["MergeTilesToImageInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["FaceOffInvocation"] | components["schemas"]["CalculateImageTilesInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["CalculateImageTilesEvenSplitInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["CoreMetadataInvocation"] | components["schemas"]["PairTileImageInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["CalculateImageTilesMinimumOverlapInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["SDXLLoRALoaderInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["CanvasPasteBackInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["LoRALoaderInvocation"]; + [key: string]: components["schemas"]["AddInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["BooleanInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["CreateGradientMaskInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["VAELoaderInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["TileToPropertiesInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["FaceOffInvocation"] | components["schemas"]["FreeUInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["PairTileImageInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["IdealSizeInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["UnsharpMaskInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["CalculateImageTilesMinimumOverlapInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["MetadataItemInvocation"] | components["schemas"]["CalculateImageTilesEvenSplitInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["DWOpenposeImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["CenterPadCropInvocation"] | components["schemas"]["CanvasPasteBackInvocation"] | components["schemas"]["MetadataInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["MergeTilesToImageInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["CalculateImageTilesInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["DepthAnythingImageProcessorInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["CoreMetadataInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["CropLatentsCoreInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["MergeMetadataInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["LoRALoaderInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["MaskFromIDInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CLIPSkipInvocation"] | components["schemas"]["SDXLLoRALoaderInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["StringJoinInvocation"]; }; /** * Edges @@ -4149,7 +4149,7 @@ export type components = { * @description The results of node executions */ results: { - [key: string]: components["schemas"]["CLIPOutput"] | components["schemas"]["StringPosNegOutput"] | components["schemas"]["IdealSizeOutput"] | components["schemas"]["SDXLLoRALoaderOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["BooleanOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["VAEOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["TileToPropertiesOutput"] | components["schemas"]["String2Output"] | components["schemas"]["IntegerOutput"] | components["schemas"]["GradientMaskOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["FaceOffOutput"] | components["schemas"]["MetadataOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["LoRALoaderOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["IPAdapterOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["PairTileImageOutput"] | components["schemas"]["MetadataItemOutput"] | components["schemas"]["CLIPSkipInvocationOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["UNetOutput"] | components["schemas"]["T2IAdapterOutput"] | components["schemas"]["CollectInvocationOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["FaceMaskOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["CalculateImageTilesOutput"]; + [key: string]: components["schemas"]["UNetOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["String2Output"] | components["schemas"]["ControlOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["TileToPropertiesOutput"] | components["schemas"]["FaceOffOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["CLIPSkipInvocationOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["LoRALoaderOutput"] | components["schemas"]["StringPosNegOutput"] | components["schemas"]["SDXLLoRALoaderOutput"] | components["schemas"]["CollectInvocationOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["MetadataOutput"] | components["schemas"]["PairTileImageOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["IdealSizeOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["MetadataItemOutput"] | components["schemas"]["CLIPOutput"] | components["schemas"]["BooleanOutput"] | components["schemas"]["FaceMaskOutput"] | components["schemas"]["T2IAdapterOutput"] | components["schemas"]["VAEOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["IPAdapterOutput"] | components["schemas"]["GradientMaskOutput"] | components["schemas"]["CalculateImageTilesOutput"] | components["schemas"]["LatentsOutput"]; }; /** * Errors @@ -4438,7 +4438,7 @@ export type components = { * @default auto * @enum {string} */ - clip_vision_model?: "auto" | "ViT-H" | "ViT-G"; + clip_vision_model?: "ViT-H" | "ViT-G"; /** * Weight * @description The weight given to the IP-Adapter From 3659219f46b2efc16a1e4cede6a52b6626178f78 Mon Sep 17 00:00:00 2001 From: Jonathan <34005131+JPPhoto@users.noreply.github.com> Date: Thu, 4 Apr 2024 16:38:40 -0500 Subject: [PATCH 02/12] Fix IdealSizeInvocation (#6145) --- invokeai/app/invocations/latent.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py index 3c66b7014f..449d013504 100644 --- a/invokeai/app/invocations/latent.py +++ b/invokeai/app/invocations/latent.py @@ -1254,7 +1254,7 @@ class IdealSizeInvocation(BaseInvocation): return tuple((x - x % multiple_of) for x in args) def invoke(self, context: InvocationContext) -> IdealSizeOutput: - unet_config = context.models.get_config(**self.unet.unet.model_dump()) + unet_config = context.models.get_config(self.unet.unet.key) aspect = self.width / self.height dimension: float = 512 if unet_config.base == BaseModelType.StableDiffusion2: From 32a6b758cd1ff44f598423f8a8f43259da7876b2 Mon Sep 17 00:00:00 2001 From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com> Date: Wed, 20 Mar 2024 08:47:16 +0530 Subject: [PATCH 03/12] wip: Initial Infill Methods Refactor --- invokeai/app/api/routers/app_info.py | 4 +- invokeai/app/invocations/infill.py | 237 ++++++------------ invokeai/backend/image_util/__init__.py | 2 +- .../{ => infill_methods}/cv2_inpaint.py | 0 .../image_util/{ => infill_methods}/lama.py | 9 + .../image_util/infill_methods/mosaic.py | 56 +++++ .../image_util/infill_methods/patchmatch.py | 67 +++++ .../backend/image_util/infill_methods/tile.py | 72 ++++++ invokeai/backend/image_util/patchmatch.py | 49 ---- .../util/graph/buildCanvasOutpaintGraph.ts | 16 ++ .../graph/buildCanvasSDXLOutpaintGraph.ts | 16 ++ 11 files changed, 318 insertions(+), 210 deletions(-) rename invokeai/backend/image_util/{ => infill_methods}/cv2_inpaint.py (100%) rename invokeai/backend/image_util/{ => infill_methods}/lama.py (82%) create mode 100644 invokeai/backend/image_util/infill_methods/mosaic.py create mode 100644 invokeai/backend/image_util/infill_methods/patchmatch.py create mode 100644 invokeai/backend/image_util/infill_methods/tile.py delete mode 100644 invokeai/backend/image_util/patchmatch.py diff --git a/invokeai/app/api/routers/app_info.py b/invokeai/app/api/routers/app_info.py index 4cbdc81b28..fadc749c3b 100644 --- a/invokeai/app/api/routers/app_info.py +++ b/invokeai/app/api/routers/app_info.py @@ -12,7 +12,7 @@ from pydantic import BaseModel, Field from invokeai.app.invocations.upscale import ESRGAN_MODELS from invokeai.app.services.invocation_cache.invocation_cache_common import InvocationCacheStatus -from invokeai.backend.image_util.patchmatch import PatchMatch +from invokeai.backend.image_util.infill_methods.patchmatch import PatchMatch from invokeai.backend.image_util.safety_checker import SafetyChecker from invokeai.backend.util.logging import logging from invokeai.version import __version__ @@ -100,7 +100,7 @@ async def get_app_deps() -> AppDependencyVersions: @app_router.get("/config", operation_id="get_config", status_code=200, response_model=AppConfig) async def get_config() -> AppConfig: - infill_methods = ["tile", "lama", "cv2"] + infill_methods = ["tile", "lama", "cv2", "color", "mosaic"] if PatchMatch.patchmatch_available(): infill_methods.append("patchmatch") diff --git a/invokeai/app/invocations/infill.py b/invokeai/app/invocations/infill.py index 8d14c0a8fe..325bedaba1 100644 --- a/invokeai/app/invocations/infill.py +++ b/invokeai/app/invocations/infill.py @@ -1,154 +1,91 @@ -# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654) and the InvokeAI Team +from abc import abstractmethod +from typing import Literal, get_args -import math -from typing import Literal, Optional, get_args - -import numpy as np -from PIL import Image, ImageOps +from PIL import Image from invokeai.app.invocations.fields import ColorField, ImageField from invokeai.app.invocations.primitives import ImageOutput from invokeai.app.services.shared.invocation_context import InvocationContext -from invokeai.app.util.download_with_progress import download_with_progress_bar from invokeai.app.util.misc import SEED_MAX -from invokeai.backend.image_util.cv2_inpaint import cv2_inpaint -from invokeai.backend.image_util.lama import LaMA -from invokeai.backend.image_util.patchmatch import PatchMatch +from invokeai.backend.image_util.infill_methods.cv2_inpaint import cv2_inpaint +from invokeai.backend.image_util.infill_methods.lama import LaMA +from invokeai.backend.image_util.infill_methods.mosaic import infill_mosaic +from invokeai.backend.image_util.infill_methods.patchmatch import PatchMatch, infill_patchmatch +from invokeai.backend.image_util.infill_methods.tile import infill_tile +from invokeai.backend.util.logging import InvokeAILogger from .baseinvocation import BaseInvocation, invocation from .fields import InputField, WithBoard, WithMetadata from .image import PIL_RESAMPLING_MAP, PIL_RESAMPLING_MODES +logger = InvokeAILogger.get_logger() -def infill_methods() -> list[str]: - methods = ["tile", "solid", "lama", "cv2"] + +def get_infill_methods(): + methods = Literal["tile", "color", "lama", "cv2", "mosaic"] if PatchMatch.patchmatch_available(): - methods.insert(0, "patchmatch") + methods = Literal["patchmatch", "tile", "color", "lama", "cv2", "mosaic"] return methods -INFILL_METHODS = Literal[tuple(infill_methods())] +INFILL_METHODS = get_infill_methods() DEFAULT_INFILL_METHOD = "patchmatch" if "patchmatch" in get_args(INFILL_METHODS) else "tile" -def infill_lama(im: Image.Image) -> Image.Image: - lama = LaMA() - return lama(im) +class InfillImageProcessorInvocation(BaseInvocation, WithMetadata, WithBoard): + """Base class for invocations that preprocess images for Infilling""" + image: ImageField = InputField(description="The image to process") -def infill_patchmatch(im: Image.Image) -> Image.Image: - if im.mode != "RGBA": - return im + @abstractmethod + def infill(self, image: Image.Image) -> Image.Image: + """Abstract to perform various infilling techniques""" + return image - # Skip patchmatch if patchmatch isn't available - if not PatchMatch.patchmatch_available(): - return im + def load_image(self, context: InvocationContext) -> tuple[Image.Image, bool]: + """Process the image to have an alpha channel before being infilled""" + image = context.images.get_pil(self.image.image_name) + has_alpha = True if image.mode == "RGBA" else False + return image, has_alpha - # Patchmatch (note, we may want to expose patch_size? Increasing it significantly impacts performance though) - im_patched_np = PatchMatch.inpaint(im.convert("RGB"), ImageOps.invert(im.split()[-1]), patch_size=3) - im_patched = Image.fromarray(im_patched_np, mode="RGB") - return im_patched + def invoke(self, context: InvocationContext) -> ImageOutput: + # Retrieve and process image to be infilled + input_image, has_alpha = self.load_image(context) + # If the input image has no alpha channel, return it + if has_alpha is False: + return ImageOutput.build(context.images.get_dto(self.image.image_name)) -def infill_cv2(im: Image.Image) -> Image.Image: - return cv2_inpaint(im) + # Perform Infill action + infilled_image = self.infill(input_image) + # Create ImageDTO for Infilled Image + infilled_image_dto = context.images.save(image=infilled_image) -def get_tile_images(image: np.ndarray, width=8, height=8): - _nrows, _ncols, depth = image.shape - _strides = image.strides - - nrows, _m = divmod(_nrows, height) - ncols, _n = divmod(_ncols, width) - if _m != 0 or _n != 0: - return None - - return np.lib.stride_tricks.as_strided( - np.ravel(image), - shape=(nrows, ncols, height, width, depth), - strides=(height * _strides[0], width * _strides[1], *_strides), - writeable=False, - ) - - -def tile_fill_missing(im: Image.Image, tile_size: int = 16, seed: Optional[int] = None) -> Image.Image: - # Only fill if there's an alpha layer - if im.mode != "RGBA": - return im - - a = np.asarray(im, dtype=np.uint8) - - tile_size_tuple = (tile_size, tile_size) - - # Get the image as tiles of a specified size - tiles = get_tile_images(a, *tile_size_tuple).copy() - - # Get the mask as tiles - tiles_mask = tiles[:, :, :, :, 3] - - # Find any mask tiles with any fully transparent pixels (we will be replacing these later) - tmask_shape = tiles_mask.shape - tiles_mask = tiles_mask.reshape(math.prod(tiles_mask.shape)) - n, ny = (math.prod(tmask_shape[0:2])), math.prod(tmask_shape[2:]) - tiles_mask = tiles_mask > 0 - tiles_mask = tiles_mask.reshape((n, ny)).all(axis=1) - - # Get RGB tiles in single array and filter by the mask - tshape = tiles.shape - tiles_all = tiles.reshape((math.prod(tiles.shape[0:2]), *tiles.shape[2:])) - filtered_tiles = tiles_all[tiles_mask] - - if len(filtered_tiles) == 0: - return im - - # Find all invalid tiles and replace with a random valid tile - replace_count = (tiles_mask == False).sum() # noqa: E712 - rng = np.random.default_rng(seed=seed) - tiles_all[np.logical_not(tiles_mask)] = filtered_tiles[rng.choice(filtered_tiles.shape[0], replace_count), :, :, :] - - # Convert back to an image - tiles_all = tiles_all.reshape(tshape) - tiles_all = tiles_all.swapaxes(1, 2) - st = tiles_all.reshape( - ( - math.prod(tiles_all.shape[0:2]), - math.prod(tiles_all.shape[2:4]), - tiles_all.shape[4], - ) - ) - si = Image.fromarray(st, mode="RGBA") - - return si + # Return Infilled Image + return ImageOutput.build(infilled_image_dto) @invocation("infill_rgba", title="Solid Color Infill", tags=["image", "inpaint"], category="inpaint", version="1.2.2") -class InfillColorInvocation(BaseInvocation, WithMetadata, WithBoard): +class InfillColorInvocation(InfillImageProcessorInvocation): """Infills transparent areas of an image with a solid color""" - image: ImageField = InputField(description="The image to infill") color: ColorField = InputField( default=ColorField(r=127, g=127, b=127, a=255), description="The color to use to infill", ) - def invoke(self, context: InvocationContext) -> ImageOutput: - image = context.images.get_pil(self.image.image_name) - + def infill(self, image: Image.Image): solid_bg = Image.new("RGBA", image.size, self.color.tuple()) infilled = Image.alpha_composite(solid_bg, image.convert("RGBA")) - infilled.paste(image, (0, 0), image.split()[-1]) - - image_dto = context.images.save(image=infilled) - - return ImageOutput.build(image_dto) + return infilled @invocation("infill_tile", title="Tile Infill", tags=["image", "inpaint"], category="inpaint", version="1.2.3") -class InfillTileInvocation(BaseInvocation, WithMetadata, WithBoard): +class InfillTileInvocation(InfillImageProcessorInvocation): """Infills transparent areas of an image with tiles of the image""" - image: ImageField = InputField(description="The image to infill") tile_size: int = InputField(default=32, ge=1, description="The tile size (px)") seed: int = InputField( default=0, @@ -157,92 +94,76 @@ class InfillTileInvocation(BaseInvocation, WithMetadata, WithBoard): description="The seed to use for tile generation (omit for random)", ) - def invoke(self, context: InvocationContext) -> ImageOutput: - image = context.images.get_pil(self.image.image_name) - - infilled = tile_fill_missing(image.copy(), seed=self.seed, tile_size=self.tile_size) + def infill(self, image: Image.Image): + infilled = infill_tile(image, seed=self.seed, tile_size=self.tile_size) infilled.paste(image, (0, 0), image.split()[-1]) - - image_dto = context.images.save(image=infilled) - - return ImageOutput.build(image_dto) + return infilled @invocation( "infill_patchmatch", title="PatchMatch Infill", tags=["image", "inpaint"], category="inpaint", version="1.2.2" ) -class InfillPatchMatchInvocation(BaseInvocation, WithMetadata, WithBoard): +class InfillPatchMatchInvocation(InfillImageProcessorInvocation): """Infills transparent areas of an image using the PatchMatch algorithm""" - image: ImageField = InputField(description="The image to infill") downscale: float = InputField(default=2.0, gt=0, description="Run patchmatch on downscaled image to speedup infill") resample_mode: PIL_RESAMPLING_MODES = InputField(default="bicubic", description="The resampling mode") - def invoke(self, context: InvocationContext) -> ImageOutput: - image = context.images.get_pil(self.image.image_name).convert("RGBA") + def infill(self, image: Image.Image): resample_mode = PIL_RESAMPLING_MAP[self.resample_mode] - infill_image = image.copy() width = int(image.width / self.downscale) height = int(image.height / self.downscale) - infill_image = infill_image.resize( + + infilled = image.resize( (width, height), resample=resample_mode, ) - - if PatchMatch.patchmatch_available(): - infilled = infill_patchmatch(infill_image) - else: - raise ValueError("PatchMatch is not available on this system") - + infilled = infill_patchmatch(image) infilled = infilled.resize( (image.width, image.height), resample=resample_mode, ) - infilled.paste(image, (0, 0), mask=image.split()[-1]) - # image.paste(infilled, (0, 0), mask=image.split()[-1]) - image_dto = context.images.save(image=infilled) - - return ImageOutput.build(image_dto) + return infilled @invocation("infill_lama", title="LaMa Infill", tags=["image", "inpaint"], category="inpaint", version="1.2.2") -class LaMaInfillInvocation(BaseInvocation, WithMetadata, WithBoard): +class LaMaInfillInvocation(InfillImageProcessorInvocation): """Infills transparent areas of an image using the LaMa model""" - image: ImageField = InputField(description="The image to infill") - - def invoke(self, context: InvocationContext) -> ImageOutput: - image = context.images.get_pil(self.image.image_name) - - # Downloads the LaMa model if it doesn't already exist - download_with_progress_bar( - name="LaMa Inpainting Model", - url="https://github.com/Sanster/models/releases/download/add_big_lama/big-lama.pt", - dest_path=context.config.get().models_path / "core/misc/lama/lama.pt", - ) - - infilled = infill_lama(image.copy()) - - image_dto = context.images.save(image=infilled) - - return ImageOutput.build(image_dto) + def infill(self, image: Image.Image): + lama = LaMA() + return lama(image) @invocation("infill_cv2", title="CV2 Infill", tags=["image", "inpaint"], category="inpaint", version="1.2.2") -class CV2InfillInvocation(BaseInvocation, WithMetadata, WithBoard): +class CV2InfillInvocation(InfillImageProcessorInvocation): """Infills transparent areas of an image using OpenCV Inpainting""" + def infill(self, image: Image.Image): + return cv2_inpaint(image) + + +@invocation( + "infill_mosaic", title="Mosaic Infill", tags=["image", "inpaint", "outpaint"], category="inpaint", version="1.0.0" +) +class MosaicInfillInvocation(InfillImageProcessorInvocation): + """Infills transparent areas of an image with a mosaic pattern drawing colors from the rest of the image""" + image: ImageField = InputField(description="The image to infill") + tile_width: int = InputField(default=64, description="Width of the tile") + tile_height: int = InputField(default=64, description="Height of the tile") + min_color: ColorField = InputField( + default=ColorField(r=0, g=0, b=0, a=255), + description="The min threshold for color", + ) + max_color: ColorField = InputField( + default=ColorField(r=255, g=255, b=255, a=255), + description="The max threshold for color", + ) - def invoke(self, context: InvocationContext) -> ImageOutput: - image = context.images.get_pil(self.image.image_name) - - infilled = infill_cv2(image.copy()) - - image_dto = context.images.save(image=infilled) - - return ImageOutput.build(image_dto) + def infill(self, image: Image.Image): + return infill_mosaic(image, (self.tile_width, self.tile_height), self.min_color.tuple(), self.max_color.tuple()) diff --git a/invokeai/backend/image_util/__init__.py b/invokeai/backend/image_util/__init__.py index 473ecc4c87..dec2a92150 100644 --- a/invokeai/backend/image_util/__init__.py +++ b/invokeai/backend/image_util/__init__.py @@ -2,7 +2,7 @@ Initialization file for invokeai.backend.image_util methods. """ -from .patchmatch import PatchMatch # noqa: F401 +from .infill_methods.patchmatch import PatchMatch # noqa: F401 from .pngwriter import PngWriter, PromptFormatter, retrieve_metadata, write_metadata # noqa: F401 from .seamless import configure_model_padding # noqa: F401 from .util import InitImageResizer, make_grid # noqa: F401 diff --git a/invokeai/backend/image_util/cv2_inpaint.py b/invokeai/backend/image_util/infill_methods/cv2_inpaint.py similarity index 100% rename from invokeai/backend/image_util/cv2_inpaint.py rename to invokeai/backend/image_util/infill_methods/cv2_inpaint.py diff --git a/invokeai/backend/image_util/lama.py b/invokeai/backend/image_util/infill_methods/lama.py similarity index 82% rename from invokeai/backend/image_util/lama.py rename to invokeai/backend/image_util/infill_methods/lama.py index 5b3fc3a9c7..fa354aeed1 100644 --- a/invokeai/backend/image_util/lama.py +++ b/invokeai/backend/image_util/infill_methods/lama.py @@ -7,6 +7,7 @@ from PIL import Image import invokeai.backend.util.logging as logger from invokeai.app.services.config.config_default import get_config +from invokeai.app.util.download_with_progress import download_with_progress_bar from invokeai.backend.util.devices import choose_torch_device @@ -30,6 +31,14 @@ class LaMA: def __call__(self, input_image: Image.Image, *args: Any, **kwds: Any) -> Any: device = choose_torch_device() model_location = get_config().models_path / "core/misc/lama/lama.pt" + + if not model_location.exists(): + download_with_progress_bar( + name="LaMa Inpainting Model", + url="https://github.com/Sanster/models/releases/download/add_big_lama/big-lama.pt", + dest_path=model_location, + ) + model = load_jit_model(model_location, device) image = np.asarray(input_image.convert("RGB")) diff --git a/invokeai/backend/image_util/infill_methods/mosaic.py b/invokeai/backend/image_util/infill_methods/mosaic.py new file mode 100644 index 0000000000..3a29fc3a17 --- /dev/null +++ b/invokeai/backend/image_util/infill_methods/mosaic.py @@ -0,0 +1,56 @@ +from typing import Tuple + +import numpy as np +from PIL import Image + + +def infill_mosaic( + image: Image.Image, + tile_shape: Tuple[int, int] = (64, 16), + min_color: Tuple[int, int, int, int] = (0, 0, 0, 0), + max_color: Tuple[int, int, int, int] = (255, 255, 255, 0), +) -> Image.Image: + """ + image:PIL - A PIL Image + tile_shape: Tuple[int,int] - Tile width & Tile Height + min_color: Tuple[int,int,int] - RGB values for the lowest color to clip to (0-255) + max_color: Tuple[int,int,int] - RGB values for the highest color to clip to (0-255) + """ + + np_image = np.array(image) # Convert image to np array + alpha = np_image[:, :, 3] # Get the mask from the alpha channel of the image + non_transparent_pixels = np_image[alpha != 0, :3] # List of non-transparent pixels + + # Create color tiles to paste in the empty areas of the image + tile_width, tile_height = tile_shape + + # Clip the range of colors in the image to a particular spectrum only + r_min, g_min, b_min, _ = min_color + r_max, g_max, b_max, _ = max_color + non_transparent_pixels[:, 0] = np.clip(non_transparent_pixels[:, 0], r_min, r_max) + non_transparent_pixels[:, 1] = np.clip(non_transparent_pixels[:, 1], g_min, g_max) + non_transparent_pixels[:, 2] = np.clip(non_transparent_pixels[:, 2], b_min, b_max) + + tiles = [] + for _ in range(256): + color = non_transparent_pixels[np.random.randint(len(non_transparent_pixels))] + + tile = np.zeros((tile_height, tile_width, 3), dtype=np.uint8) + tile[:, :] = color + tiles.append(tile) + + # Fill the transparent area with tiles + filled_image = np.zeros((image.height, image.width, 3), dtype=np.uint8) + for x in range(image.width): + for y in range(image.height): + tile = tiles[np.random.randint(len(tiles))] + filled_image[ + y - (y % tile_height) : y - (y % tile_height) + tile_height, + x - (x % tile_width) : x - (x % tile_width) + tile_width, + ] = tile + + filled_image = Image.fromarray(filled_image) # Convert the filled tiles image to PIL + image = Image.composite( + image, filled_image, image.split()[-1] + ) # Composite the original image on top of the filled tiles + return image diff --git a/invokeai/backend/image_util/infill_methods/patchmatch.py b/invokeai/backend/image_util/infill_methods/patchmatch.py new file mode 100644 index 0000000000..7e9cdf8fa4 --- /dev/null +++ b/invokeai/backend/image_util/infill_methods/patchmatch.py @@ -0,0 +1,67 @@ +""" +This module defines a singleton object, "patchmatch" that +wraps the actual patchmatch object. It respects the global +"try_patchmatch" attribute, so that patchmatch loading can +be suppressed or deferred +""" + +import numpy as np +from PIL import Image + +import invokeai.backend.util.logging as logger +from invokeai.app.services.config.config_default import get_config + + +class PatchMatch: + """ + Thin class wrapper around the patchmatch function. + """ + + patch_match = None + tried_load: bool = False + + def __init__(self): + super().__init__() + + @classmethod + def _load_patch_match(cls): + if cls.tried_load: + return + if get_config().patchmatch: + from patchmatch import patch_match as pm + + if pm.patchmatch_available: + logger.info("Patchmatch initialized") + cls.patch_match = pm + else: + logger.info("Patchmatch not loaded (nonfatal)") + else: + logger.info("Patchmatch loading disabled") + cls.tried_load = True + + @classmethod + def patchmatch_available(cls) -> bool: + cls._load_patch_match() + if not cls.patch_match: + return False + return cls.patch_match.patchmatch_available + + @classmethod + def inpaint(cls, image: Image.Image) -> Image.Image: + if cls.patch_match is None or not cls.patchmatch_available(): + return image + + np_image = np.array(image) + mask = 255 - np_image[:, :, 3] + infilled = cls.patch_match.inpaint(np_image[:, :, :3], mask, patch_size=3) + return Image.fromarray(infilled, mode="RGB") + + +def infill_patchmatch(image: Image.Image) -> Image.Image: + IS_PATCHMATCH_AVAILABLE = PatchMatch.patchmatch_available() + + if not IS_PATCHMATCH_AVAILABLE: + logger.warning("PatchMatch is not available on this system") + return image + + return PatchMatch.inpaint(image) diff --git a/invokeai/backend/image_util/infill_methods/tile.py b/invokeai/backend/image_util/infill_methods/tile.py new file mode 100644 index 0000000000..d99d93fb95 --- /dev/null +++ b/invokeai/backend/image_util/infill_methods/tile.py @@ -0,0 +1,72 @@ +import math +from typing import Optional + +import numpy as np +from PIL import Image + + +def get_tile_images(image: np.ndarray, width: int = 8, height: int = 8): + _nrows, _ncols, depth = image.shape + _strides = image.strides + + nrows, _m = divmod(_nrows, height) + ncols, _n = divmod(_ncols, width) + if _m != 0 or _n != 0: + return None + + return np.lib.stride_tricks.as_strided( + np.ravel(image), + shape=(nrows, ncols, height, width, depth), + strides=(height * _strides[0], width * _strides[1], *_strides), + writeable=False, + ) + + +def infill_tile(im: Image.Image, tile_size: int = 16, seed: Optional[int] = None) -> Image.Image: + # Only fill if there's an alpha layer + if im.mode != "RGBA": + return im + + a = np.asarray(im, dtype=np.uint8) + + tile_size_tuple = (tile_size, tile_size) + + # Get the image as tiles of a specified size + tiles = get_tile_images(a, *tile_size_tuple).copy() + + # Get the mask as tiles + tiles_mask = tiles[:, :, :, :, 3] + + # Find any mask tiles with any fully transparent pixels (we will be replacing these later) + tmask_shape = tiles_mask.shape + tiles_mask = tiles_mask.reshape(math.prod(tiles_mask.shape)) + n, ny = (math.prod(tmask_shape[0:2])), math.prod(tmask_shape[2:]) + tiles_mask = tiles_mask > 0 + tiles_mask = tiles_mask.reshape((n, ny)).all(axis=1) + + # Get RGB tiles in single array and filter by the mask + tshape = tiles.shape + tiles_all = tiles.reshape((math.prod(tiles.shape[0:2]), *tiles.shape[2:])) + filtered_tiles = tiles_all[tiles_mask] + + if len(filtered_tiles) == 0: + return im + + # Find all invalid tiles and replace with a random valid tile + replace_count = (tiles_mask == False).sum() # noqa: E712 + rng = np.random.default_rng(seed=seed) + tiles_all[np.logical_not(tiles_mask)] = filtered_tiles[rng.choice(filtered_tiles.shape[0], replace_count), :, :, :] + + # Convert back to an image + tiles_all = tiles_all.reshape(tshape) + tiles_all = tiles_all.swapaxes(1, 2) + st = tiles_all.reshape( + ( + math.prod(tiles_all.shape[0:2]), + math.prod(tiles_all.shape[2:4]), + tiles_all.shape[4], + ) + ) + si = Image.fromarray(st, mode="RGBA") + + return si diff --git a/invokeai/backend/image_util/patchmatch.py b/invokeai/backend/image_util/patchmatch.py deleted file mode 100644 index 8b7b468397..0000000000 --- a/invokeai/backend/image_util/patchmatch.py +++ /dev/null @@ -1,49 +0,0 @@ -""" -This module defines a singleton object, "patchmatch" that -wraps the actual patchmatch object. It respects the global -"try_patchmatch" attribute, so that patchmatch loading can -be suppressed or deferred -""" - -import numpy as np - -import invokeai.backend.util.logging as logger -from invokeai.app.services.config.config_default import get_config - - -class PatchMatch: - """ - Thin class wrapper around the patchmatch function. - """ - - patch_match = None - tried_load: bool = False - - def __init__(self): - super().__init__() - - @classmethod - def _load_patch_match(self): - if self.tried_load: - return - if get_config().patchmatch: - from patchmatch import patch_match as pm - - if pm.patchmatch_available: - logger.info("Patchmatch initialized") - else: - logger.info("Patchmatch not loaded (nonfatal)") - self.patch_match = pm - else: - logger.info("Patchmatch loading disabled") - self.tried_load = True - - @classmethod - def patchmatch_available(self) -> bool: - self._load_patch_match() - return self.patch_match and self.patch_match.patchmatch_available - - @classmethod - def inpaint(self, *args, **kwargs) -> np.ndarray: - if self.patchmatch_available(): - return self.patch_match.inpaint(*args, **kwargs) diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasOutpaintGraph.ts index d847ccbfb5..520005ee5b 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasOutpaintGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasOutpaintGraph.ts @@ -356,6 +356,22 @@ export const buildCanvasOutpaintGraph = async ( }; } + if (infillMethod === 'mosaic') { + graph.nodes[INPAINT_INFILL] = { + type: 'infill_mosaic', + id: INPAINT_INFILL, + is_intermediate, + }; + } + + if (infillMethod === 'color') { + graph.nodes[INPAINT_INFILL] = { + type: 'infill_rgba', + id: INPAINT_INFILL, + is_intermediate, + }; + } + // Handle Scale Before Processing if (isUsingScaledDimensions) { const scaledWidth: number = scaledBoundingBoxDimensions.width; diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasSDXLOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasSDXLOutpaintGraph.ts index 39a54fd9d1..751eb52b9a 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasSDXLOutpaintGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasSDXLOutpaintGraph.ts @@ -365,6 +365,22 @@ export const buildCanvasSDXLOutpaintGraph = async ( }; } + if (infillMethod === 'mosaic') { + graph.nodes[INPAINT_INFILL] = { + type: 'infill_mosaic', + id: INPAINT_INFILL, + is_intermediate, + }; + } + + if (infillMethod === 'color') { + graph.nodes[INPAINT_INFILL] = { + type: 'infill_rgba', + id: INPAINT_INFILL, + is_intermediate, + }; + } + // Handle Scale Before Processing if (isUsingScaledDimensions) { const scaledWidth: number = scaledBoundingBoxDimensions.width; From 3c195d74a54e663a2d19c0d4ac037371e7ab93b7 Mon Sep 17 00:00:00 2001 From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com> Date: Wed, 20 Mar 2024 13:17:45 +0530 Subject: [PATCH 04/12] fix: bypass edge pixels which cannot transform to tile size Still need to fix this somehow --- .../backend/image_util/infill_methods/mosaic.py | 16 ++++++++++------ 1 file changed, 10 insertions(+), 6 deletions(-) diff --git a/invokeai/backend/image_util/infill_methods/mosaic.py b/invokeai/backend/image_util/infill_methods/mosaic.py index 3a29fc3a17..2715a100d2 100644 --- a/invokeai/backend/image_util/infill_methods/mosaic.py +++ b/invokeai/backend/image_util/infill_methods/mosaic.py @@ -6,7 +6,7 @@ from PIL import Image def infill_mosaic( image: Image.Image, - tile_shape: Tuple[int, int] = (64, 16), + tile_shape: Tuple[int, int] = (64, 64), min_color: Tuple[int, int, int, int] = (0, 0, 0, 0), max_color: Tuple[int, int, int, int] = (255, 255, 255, 0), ) -> Image.Image: @@ -34,20 +34,24 @@ def infill_mosaic( tiles = [] for _ in range(256): color = non_transparent_pixels[np.random.randint(len(non_transparent_pixels))] - tile = np.zeros((tile_height, tile_width, 3), dtype=np.uint8) tile[:, :] = color tiles.append(tile) # Fill the transparent area with tiles filled_image = np.zeros((image.height, image.width, 3), dtype=np.uint8) + for x in range(image.width): for y in range(image.height): tile = tiles[np.random.randint(len(tiles))] - filled_image[ - y - (y % tile_height) : y - (y % tile_height) + tile_height, - x - (x % tile_width) : x - (x % tile_width) + tile_width, - ] = tile + try: + filled_image[ + y - (y % tile_height) : y - (y % tile_height) + tile_height, + x - (x % tile_width) : x - (x % tile_width) + tile_width, + ] = tile + except ValueError: + # Need to handle edge cases - literally + pass filled_image = Image.fromarray(filled_image) # Convert the filled tiles image to PIL image = Image.composite( From adb7966bb3281b465281369caab8029b776eb317 Mon Sep 17 00:00:00 2001 From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com> Date: Wed, 20 Mar 2024 13:36:55 +0530 Subject: [PATCH 05/12] ui: intial mosaic infill ui Need to change color picking. --- invokeai/frontend/web/public/locales/en.json | 4 + .../util/graph/buildCanvasOutpaintGraph.ts | 8 ++ .../graph/buildCanvasSDXLOutpaintGraph.ts | 8 ++ .../InfillAndScaling/ParamInfillOptions.tsx | 5 + .../ParamMosaicInfillOptions.tsx | 127 ++++++++++++++++++ .../parameters/store/generationSlice.ts | 21 +++ .../src/features/parameters/store/types.ts | 5 + .../frontend/web/src/services/api/schema.ts | 81 ++++++++++- 8 files changed, 252 insertions(+), 7 deletions(-) create mode 100644 invokeai/frontend/web/src/features/parameters/components/Canvas/InfillAndScaling/ParamMosaicInfillOptions.tsx diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json index 5872d22dfe..7f31da089e 100644 --- a/invokeai/frontend/web/public/locales/en.json +++ b/invokeai/frontend/web/public/locales/en.json @@ -887,6 +887,10 @@ "imageFit": "Fit Initial Image To Output Size", "images": "Images", "infillMethod": "Infill Method", + "infillMosaicTileWidth": "Tile Width", + "infillMosaicTileHeight": "Tile Height", + "infillMosaicMinColor": "Min Color", + "infillMosaicMaxColor": "Max Color", "info": "Info", "invoke": { "addingImagesTo": "Adding images to", diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasOutpaintGraph.ts index 520005ee5b..faad4189a9 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasOutpaintGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasOutpaintGraph.ts @@ -65,6 +65,10 @@ export const buildCanvasOutpaintGraph = async ( infillTileSize, infillPatchmatchDownscaleSize, infillMethod, + infillMosaicTileWidth, + infillMosaicTileHeight, + infillMosaicMinColor, + infillMosaicMaxColor, clipSkip, seamlessXAxis, seamlessYAxis, @@ -361,6 +365,10 @@ export const buildCanvasOutpaintGraph = async ( type: 'infill_mosaic', id: INPAINT_INFILL, is_intermediate, + tile_width: infillMosaicTileWidth, + tile_height: infillMosaicTileHeight, + min_color: infillMosaicMinColor, + max_color: infillMosaicMaxColor, }; } diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasSDXLOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasSDXLOutpaintGraph.ts index 751eb52b9a..efe9d51990 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasSDXLOutpaintGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasSDXLOutpaintGraph.ts @@ -66,6 +66,10 @@ export const buildCanvasSDXLOutpaintGraph = async ( infillTileSize, infillPatchmatchDownscaleSize, infillMethod, + infillMosaicTileWidth, + infillMosaicTileHeight, + infillMosaicMinColor, + infillMosaicMaxColor, seamlessXAxis, seamlessYAxis, canvasCoherenceMode, @@ -370,6 +374,10 @@ export const buildCanvasSDXLOutpaintGraph = async ( type: 'infill_mosaic', id: INPAINT_INFILL, is_intermediate, + tile_width: infillMosaicTileWidth, + tile_height: infillMosaicTileHeight, + min_color: infillMosaicMinColor, + max_color: infillMosaicMaxColor, }; } diff --git a/invokeai/frontend/web/src/features/parameters/components/Canvas/InfillAndScaling/ParamInfillOptions.tsx b/invokeai/frontend/web/src/features/parameters/components/Canvas/InfillAndScaling/ParamInfillOptions.tsx index 16cbffe56a..607a2ed809 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Canvas/InfillAndScaling/ParamInfillOptions.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Canvas/InfillAndScaling/ParamInfillOptions.tsx @@ -3,6 +3,7 @@ import { memo } from 'react'; import ParamInfillPatchmatchDownscaleSize from './ParamInfillPatchmatchDownscaleSize'; import ParamInfillTilesize from './ParamInfillTilesize'; +import ParamMosaicInfillOptions from './ParamMosaicInfillOptions'; const ParamInfillOptions = () => { const infillMethod = useAppSelector((s) => s.generation.infillMethod); @@ -14,6 +15,10 @@ const ParamInfillOptions = () => { return ; } + if (infillMethod === 'mosaic') { + return ; + } + return null; }; diff --git a/invokeai/frontend/web/src/features/parameters/components/Canvas/InfillAndScaling/ParamMosaicInfillOptions.tsx b/invokeai/frontend/web/src/features/parameters/components/Canvas/InfillAndScaling/ParamMosaicInfillOptions.tsx new file mode 100644 index 0000000000..47c11d5669 --- /dev/null +++ b/invokeai/frontend/web/src/features/parameters/components/Canvas/InfillAndScaling/ParamMosaicInfillOptions.tsx @@ -0,0 +1,127 @@ +import { Box, CompositeNumberInput, CompositeSlider, Flex, FormControl, FormLabel } from '@invoke-ai/ui-library'; +import { createSelector } from '@reduxjs/toolkit'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import IAIColorPicker from 'common/components/IAIColorPicker'; +import { + selectGenerationSlice, + setInfillMosaicMaxColor, + setInfillMosaicMinColor, + setInfillMosaicTileHeight, + setInfillMosaicTileWidth, +} from 'features/parameters/store/generationSlice'; +import { memo, useCallback, useMemo } from 'react'; +import type { RgbaColor } from 'react-colorful'; +import { useTranslation } from 'react-i18next'; + +const ParamMosaicInfillTileSize = () => { + const dispatch = useAppDispatch(); + + const selector = useMemo( + () => + createSelector(selectGenerationSlice, (generation) => ({ + infillMosaicTileWidth: generation.infillMosaicTileWidth, + infillMosaicTileHeight: generation.infillMosaicTileHeight, + infillMosaicMinColor: generation.infillMosaicMinColor, + infillMosaicMaxColor: generation.infillMosaicMaxColor, + })), + [] + ); + + const { infillMosaicTileWidth, infillMosaicTileHeight, infillMosaicMinColor, infillMosaicMaxColor } = + useAppSelector(selector); + + const infillMethod = useAppSelector((s) => s.generation.infillMethod); + + const { t } = useTranslation(); + + const handleInfillMosaicTileWidthChange = useCallback( + (v: number) => { + dispatch(setInfillMosaicTileWidth(v)); + }, + [dispatch] + ); + + const handleInfillMosaicTileHeightChange = useCallback( + (v: number) => { + dispatch(setInfillMosaicTileHeight(v)); + }, + [dispatch] + ); + + const handleInfillMosaicMinColor = useCallback( + (v: RgbaColor) => { + dispatch(setInfillMosaicMinColor(v)); + }, + [dispatch] + ); + + const handleInfillMosaicMaxColor = useCallback( + (v: RgbaColor) => { + dispatch(setInfillMosaicMaxColor(v)); + }, + [dispatch] + ); + + return ( + + + {t('parameters.infillMosaicTileWidth')} + + + + + {t('parameters.infillMosaicTileHeight')} + + + + + {t('parameters.infillMosaicMinColor')} + + + + + + {t('parameters.infillMosaicMaxColor')} + + + + + + ); +}; + +export default memo(ParamMosaicInfillTileSize); diff --git a/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts b/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts index e272cd278e..7572ffeb90 100644 --- a/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts +++ b/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts @@ -19,6 +19,7 @@ import type { import { getIsSizeOptimal, getOptimalDimension } from 'features/parameters/util/optimalDimension'; import { configChanged } from 'features/system/store/configSlice'; import { clamp } from 'lodash-es'; +import type { RgbaColor } from 'react-colorful'; import type { ImageDTO } from 'services/api/types'; import type { GenerationState } from './types'; @@ -55,6 +56,10 @@ const initialGenerationState: GenerationState = { shouldUseCpuNoise: true, shouldShowAdvancedOptions: false, aspectRatio: { ...initialAspectRatioState }, + infillMosaicTileWidth: 64, + infillMosaicTileHeight: 64, + infillMosaicMinColor: { r: 0, g: 0, b: 0, a: 1 }, + infillMosaicMaxColor: { r: 255, g: 255, b: 255, a: 1 }, }; export const generationSlice = createSlice({ @@ -206,6 +211,18 @@ export const generationSlice = createSlice({ aspectRatioChanged: (state, action: PayloadAction) => { state.aspectRatio = action.payload; }, + setInfillMosaicTileWidth: (state, action: PayloadAction) => { + state.infillMosaicTileWidth = action.payload; + }, + setInfillMosaicTileHeight: (state, action: PayloadAction) => { + state.infillMosaicTileHeight = action.payload; + }, + setInfillMosaicMinColor: (state, action: PayloadAction) => { + state.infillMosaicMinColor = action.payload; + }, + setInfillMosaicMaxColor: (state, action: PayloadAction) => { + state.infillMosaicMaxColor = action.payload; + }, }, extraReducers: (builder) => { builder.addCase(configChanged, (state, action) => { @@ -264,6 +281,10 @@ export const { heightChanged, widthRecalled, heightRecalled, + setInfillMosaicTileWidth, + setInfillMosaicTileHeight, + setInfillMosaicMinColor, + setInfillMosaicMaxColor, } = generationSlice.actions; export const { selectOptimalDimension } = generationSlice.selectors; diff --git a/invokeai/frontend/web/src/features/parameters/store/types.ts b/invokeai/frontend/web/src/features/parameters/store/types.ts index 73185754ee..1e69bf52d5 100644 --- a/invokeai/frontend/web/src/features/parameters/store/types.ts +++ b/invokeai/frontend/web/src/features/parameters/store/types.ts @@ -17,6 +17,7 @@ import type { ParameterVAEModel, ParameterWidth, } from 'features/parameters/types/parameterSchemas'; +import type { RgbaColor } from 'react-colorful'; export interface GenerationState { _version: 2; @@ -51,6 +52,10 @@ export interface GenerationState { shouldUseCpuNoise: boolean; shouldShowAdvancedOptions: boolean; aspectRatio: AspectRatioState; + infillMosaicTileWidth: number; + infillMosaicTileHeight: number; + infillMosaicMinColor: RgbaColor; + infillMosaicMaxColor: RgbaColor; } export type PayloadActionWithOptimalDimension = PayloadAction; diff --git a/invokeai/frontend/web/src/services/api/schema.ts b/invokeai/frontend/web/src/services/api/schema.ts index 41e60fa029..c42078d414 100644 --- a/invokeai/frontend/web/src/services/api/schema.ts +++ b/invokeai/frontend/web/src/services/api/schema.ts @@ -1419,7 +1419,7 @@ export type components = { * @default true */ use_cache?: boolean; - /** @description The image to infill */ + /** @description The image to process */ image?: components["schemas"]["ImageField"]; /** * type @@ -4112,7 +4112,7 @@ export type components = { * @description The nodes in this graph */ nodes: { - [key: string]: components["schemas"]["AddInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["BooleanInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["CreateGradientMaskInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["VAELoaderInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["TileToPropertiesInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["FaceOffInvocation"] | components["schemas"]["FreeUInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["PairTileImageInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["IdealSizeInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["UnsharpMaskInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["CalculateImageTilesMinimumOverlapInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["MetadataItemInvocation"] | components["schemas"]["CalculateImageTilesEvenSplitInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["DWOpenposeImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["CenterPadCropInvocation"] | components["schemas"]["CanvasPasteBackInvocation"] | components["schemas"]["MetadataInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["MergeTilesToImageInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["CalculateImageTilesInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["DepthAnythingImageProcessorInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["CoreMetadataInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["CropLatentsCoreInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["MergeMetadataInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["LoRALoaderInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["MaskFromIDInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CLIPSkipInvocation"] | components["schemas"]["SDXLLoRALoaderInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["StringJoinInvocation"]; + [key: string]: components["schemas"]["FaceOffInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["DWOpenposeImageProcessorInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["TileToPropertiesInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["LoRALoaderInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["MergeTilesToImageInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["MetadataInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["MergeMetadataInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["VAELoaderInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["PairTileImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["IdealSizeInvocation"] | components["schemas"]["CenterPadCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["CalculateImageTilesInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["UnsharpMaskInvocation"] | components["schemas"]["MetadataItemInvocation"] | components["schemas"]["MaskFromIDInvocation"] | components["schemas"]["CoreMetadataInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["BooleanInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["CanvasPasteBackInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["DepthAnythingImageProcessorInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["SDXLLoRALoaderInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["FreeUInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["MosaicInfillInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["CreateGradientMaskInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["CLIPSkipInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["CalculateImageTilesEvenSplitInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["CropLatentsCoreInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["CalculateImageTilesMinimumOverlapInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["ImageInverseLerpInvocation"]; }; /** * Edges @@ -4149,7 +4149,7 @@ export type components = { * @description The results of node executions */ results: { - [key: string]: components["schemas"]["UNetOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["String2Output"] | components["schemas"]["ControlOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["TileToPropertiesOutput"] | components["schemas"]["FaceOffOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["CLIPSkipInvocationOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["LoRALoaderOutput"] | components["schemas"]["StringPosNegOutput"] | components["schemas"]["SDXLLoRALoaderOutput"] | components["schemas"]["CollectInvocationOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["MetadataOutput"] | components["schemas"]["PairTileImageOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["IdealSizeOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["MetadataItemOutput"] | components["schemas"]["CLIPOutput"] | components["schemas"]["BooleanOutput"] | components["schemas"]["FaceMaskOutput"] | components["schemas"]["T2IAdapterOutput"] | components["schemas"]["VAEOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["IPAdapterOutput"] | components["schemas"]["GradientMaskOutput"] | components["schemas"]["CalculateImageTilesOutput"] | components["schemas"]["LatentsOutput"]; + [key: string]: components["schemas"]["ControlOutput"] | components["schemas"]["CLIPOutput"] | components["schemas"]["CollectInvocationOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["TileToPropertiesOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["GradientMaskOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["FaceOffOutput"] | components["schemas"]["String2Output"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["SDXLLoRALoaderOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringPosNegOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["LoRALoaderOutput"] | components["schemas"]["CalculateImageTilesOutput"] | components["schemas"]["MetadataItemOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["FaceMaskOutput"] | components["schemas"]["MetadataOutput"] | components["schemas"]["BooleanOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["IPAdapterOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["PairTileImageOutput"] | components["schemas"]["IdealSizeOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["CLIPSkipInvocationOutput"] | components["schemas"]["T2IAdapterOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["UNetOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["VAEOutput"]; }; /** * Errors @@ -5693,7 +5693,7 @@ export type components = { * @default true */ use_cache?: boolean; - /** @description The image to infill */ + /** @description The image to process */ image?: components["schemas"]["ImageField"]; /** * @description The color to use to infill @@ -5738,7 +5738,7 @@ export type components = { * @default true */ use_cache?: boolean; - /** @description The image to infill */ + /** @description The image to process */ image?: components["schemas"]["ImageField"]; /** * Downscale @@ -5786,7 +5786,7 @@ export type components = { * @default true */ use_cache?: boolean; - /** @description The image to infill */ + /** @description The image to process */ image?: components["schemas"]["ImageField"]; /** * Tile Size @@ -6088,7 +6088,7 @@ export type components = { * @default true */ use_cache?: boolean; - /** @description The image to infill */ + /** @description The image to process */ image?: components["schemas"]["ImageField"]; /** * type @@ -7702,6 +7702,73 @@ export type components = { /** Models */ models: (components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"] | components["schemas"]["VAEDiffusersConfig"] | components["schemas"]["VAECheckpointConfig"] | components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"] | components["schemas"]["LoRALyCORISConfig"] | components["schemas"]["LoRADiffusersConfig"] | components["schemas"]["TextualInversionFileConfig"] | components["schemas"]["TextualInversionFolderConfig"] | components["schemas"]["IPAdapterInvokeAIConfig"] | components["schemas"]["IPAdapterCheckpointConfig"] | components["schemas"]["T2IAdapterConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"])[]; }; + /** + * Mosaic Infill + * @description Infills transparent areas of an image with a mosaic pattern drawing colors from the rest of the image + */ + MosaicInfillInvocation: { + /** @description The board to save the image to */ + board?: components["schemas"]["BoardField"] | null; + /** @description Optional metadata to be saved with the image */ + metadata?: components["schemas"]["MetadataField"] | null; + /** + * Id + * @description The id of this instance of an invocation. Must be unique among all instances of invocations. + */ + id: string; + /** + * Is Intermediate + * @description Whether or not this is an intermediate invocation. + * @default false + */ + is_intermediate?: boolean; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; + /** @description The image to infill */ + image?: components["schemas"]["ImageField"]; + /** + * Tile Width + * @description Width of the tile + * @default 64 + */ + tile_width?: number; + /** + * Tile Height + * @description Height of the tile + * @default 64 + */ + tile_height?: number; + /** + * @description The min threshold for color + * @default { + * "r": 0, + * "g": 0, + * "b": 0, + * "a": 255 + * } + */ + min_color?: components["schemas"]["ColorField"]; + /** + * @description The max threshold for color + * @default { + * "r": 255, + * "g": 255, + * "b": 255, + * "a": 255 + * } + */ + max_color?: components["schemas"]["ColorField"]; + /** + * type + * @default infill_mosaic + * @constant + */ + type: "infill_mosaic"; + }; /** * Multiply Integers * @description Multiplies two numbers From e55ab5b3a1e50d33410fb446d54329c649443bca Mon Sep 17 00:00:00 2001 From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com> Date: Sat, 30 Mar 2024 15:02:51 +0530 Subject: [PATCH 06/12] ui: Color Infill UI --- invokeai/frontend/web/public/locales/en.json | 1 + .../util/graph/buildCanvasOutpaintGraph.ts | 2 + .../graph/buildCanvasSDXLOutpaintGraph.ts | 2 + .../ParamInfillColorOptions.tsx | 46 +++++++++++++++++++ ...tions.tsx => ParamInfillMosaicOptions.tsx} | 4 +- .../InfillAndScaling/ParamInfillOptions.tsx | 9 +++- .../parameters/store/generationSlice.ts | 31 +++++++------ .../src/features/parameters/store/types.ts | 5 +- 8 files changed, 81 insertions(+), 19 deletions(-) create mode 100644 invokeai/frontend/web/src/features/parameters/components/Canvas/InfillAndScaling/ParamInfillColorOptions.tsx rename invokeai/frontend/web/src/features/parameters/components/Canvas/InfillAndScaling/{ParamMosaicInfillOptions.tsx => ParamInfillMosaicOptions.tsx} (97%) diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json index 7f31da089e..96fb8e5748 100644 --- a/invokeai/frontend/web/public/locales/en.json +++ b/invokeai/frontend/web/public/locales/en.json @@ -891,6 +891,7 @@ "infillMosaicTileHeight": "Tile Height", "infillMosaicMinColor": "Min Color", "infillMosaicMaxColor": "Max Color", + "infillColorValue": "Fill Color", "info": "Info", "invoke": { "addingImagesTo": "Adding images to", diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasOutpaintGraph.ts index faad4189a9..30dd44aa18 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasOutpaintGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasOutpaintGraph.ts @@ -69,6 +69,7 @@ export const buildCanvasOutpaintGraph = async ( infillMosaicTileHeight, infillMosaicMinColor, infillMosaicMaxColor, + infillColorValue, clipSkip, seamlessXAxis, seamlessYAxis, @@ -376,6 +377,7 @@ export const buildCanvasOutpaintGraph = async ( graph.nodes[INPAINT_INFILL] = { type: 'infill_rgba', id: INPAINT_INFILL, + color: infillColorValue, is_intermediate, }; } diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasSDXLOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasSDXLOutpaintGraph.ts index efe9d51990..4ec00a2cd6 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasSDXLOutpaintGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasSDXLOutpaintGraph.ts @@ -70,6 +70,7 @@ export const buildCanvasSDXLOutpaintGraph = async ( infillMosaicTileHeight, infillMosaicMinColor, infillMosaicMaxColor, + infillColorValue, seamlessXAxis, seamlessYAxis, canvasCoherenceMode, @@ -386,6 +387,7 @@ export const buildCanvasSDXLOutpaintGraph = async ( type: 'infill_rgba', id: INPAINT_INFILL, is_intermediate, + color: infillColorValue, }; } diff --git a/invokeai/frontend/web/src/features/parameters/components/Canvas/InfillAndScaling/ParamInfillColorOptions.tsx b/invokeai/frontend/web/src/features/parameters/components/Canvas/InfillAndScaling/ParamInfillColorOptions.tsx new file mode 100644 index 0000000000..1cafe4310e --- /dev/null +++ b/invokeai/frontend/web/src/features/parameters/components/Canvas/InfillAndScaling/ParamInfillColorOptions.tsx @@ -0,0 +1,46 @@ +import { Box, Flex, FormControl, FormLabel } from '@invoke-ai/ui-library'; +import { createSelector } from '@reduxjs/toolkit'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import IAIColorPicker from 'common/components/IAIColorPicker'; +import { selectGenerationSlice, setInfillColorValue } from 'features/parameters/store/generationSlice'; +import { memo, useCallback, useMemo } from 'react'; +import type { RgbaColor } from 'react-colorful'; +import { useTranslation } from 'react-i18next'; + +const ParamInfillColorOptions = () => { + const dispatch = useAppDispatch(); + + const selector = useMemo( + () => + createSelector(selectGenerationSlice, (generation) => ({ + infillColor: generation.infillColorValue, + })), + [] + ); + + const { infillColor } = useAppSelector(selector); + + const infillMethod = useAppSelector((s) => s.generation.infillMethod); + + const { t } = useTranslation(); + + const handleInfillColor = useCallback( + (v: RgbaColor) => { + dispatch(setInfillColorValue(v)); + }, + [dispatch] + ); + + return ( + + + {t('parameters.infillColorValue')} + + + + + + ); +}; + +export default memo(ParamInfillColorOptions); diff --git a/invokeai/frontend/web/src/features/parameters/components/Canvas/InfillAndScaling/ParamMosaicInfillOptions.tsx b/invokeai/frontend/web/src/features/parameters/components/Canvas/InfillAndScaling/ParamInfillMosaicOptions.tsx similarity index 97% rename from invokeai/frontend/web/src/features/parameters/components/Canvas/InfillAndScaling/ParamMosaicInfillOptions.tsx rename to invokeai/frontend/web/src/features/parameters/components/Canvas/InfillAndScaling/ParamInfillMosaicOptions.tsx index 47c11d5669..f164bb903e 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Canvas/InfillAndScaling/ParamMosaicInfillOptions.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Canvas/InfillAndScaling/ParamInfillMosaicOptions.tsx @@ -13,7 +13,7 @@ import { memo, useCallback, useMemo } from 'react'; import type { RgbaColor } from 'react-colorful'; import { useTranslation } from 'react-i18next'; -const ParamMosaicInfillTileSize = () => { +const ParamInfillMosaicTileSize = () => { const dispatch = useAppDispatch(); const selector = useMemo( @@ -124,4 +124,4 @@ const ParamMosaicInfillTileSize = () => { ); }; -export default memo(ParamMosaicInfillTileSize); +export default memo(ParamInfillMosaicTileSize); diff --git a/invokeai/frontend/web/src/features/parameters/components/Canvas/InfillAndScaling/ParamInfillOptions.tsx b/invokeai/frontend/web/src/features/parameters/components/Canvas/InfillAndScaling/ParamInfillOptions.tsx index 607a2ed809..04e4727885 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Canvas/InfillAndScaling/ParamInfillOptions.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Canvas/InfillAndScaling/ParamInfillOptions.tsx @@ -1,9 +1,10 @@ import { useAppSelector } from 'app/store/storeHooks'; import { memo } from 'react'; +import ParamInfillColorOptions from './ParamInfillColorOptions'; +import ParamInfillMosaicOptions from './ParamInfillMosaicOptions'; import ParamInfillPatchmatchDownscaleSize from './ParamInfillPatchmatchDownscaleSize'; import ParamInfillTilesize from './ParamInfillTilesize'; -import ParamMosaicInfillOptions from './ParamMosaicInfillOptions'; const ParamInfillOptions = () => { const infillMethod = useAppSelector((s) => s.generation.infillMethod); @@ -16,7 +17,11 @@ const ParamInfillOptions = () => { } if (infillMethod === 'mosaic') { - return ; + return ; + } + + if (infillMethod === 'color') { + return ; } return null; diff --git a/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts b/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts index 7572ffeb90..0da6e21d9f 100644 --- a/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts +++ b/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts @@ -44,8 +44,6 @@ const initialGenerationState: GenerationState = { shouldFitToWidthHeight: true, shouldRandomizeSeed: true, steps: 50, - infillTileSize: 32, - infillPatchmatchDownscaleSize: 1, width: 512, model: null, vae: null, @@ -56,10 +54,13 @@ const initialGenerationState: GenerationState = { shouldUseCpuNoise: true, shouldShowAdvancedOptions: false, aspectRatio: { ...initialAspectRatioState }, + infillTileSize: 32, + infillPatchmatchDownscaleSize: 1, infillMosaicTileWidth: 64, infillMosaicTileHeight: 64, infillMosaicMinColor: { r: 0, g: 0, b: 0, a: 1 }, infillMosaicMaxColor: { r: 255, g: 255, b: 255, a: 1 }, + infillColorValue: { r: 0, g: 0, b: 0, a: 1 }, }; export const generationSlice = createSlice({ @@ -121,15 +122,6 @@ export const generationSlice = createSlice({ setCanvasCoherenceMinDenoise: (state, action: PayloadAction) => { state.canvasCoherenceMinDenoise = action.payload; }, - setInfillMethod: (state, action: PayloadAction) => { - state.infillMethod = action.payload; - }, - setInfillTileSize: (state, action: PayloadAction) => { - state.infillTileSize = action.payload; - }, - setInfillPatchmatchDownscaleSize: (state, action: PayloadAction) => { - state.infillPatchmatchDownscaleSize = action.payload; - }, initialImageChanged: (state, action: PayloadAction) => { const { image_name, width, height } = action.payload; state.initialImage = { imageName: image_name, width, height }; @@ -211,6 +203,15 @@ export const generationSlice = createSlice({ aspectRatioChanged: (state, action: PayloadAction) => { state.aspectRatio = action.payload; }, + setInfillMethod: (state, action: PayloadAction) => { + state.infillMethod = action.payload; + }, + setInfillTileSize: (state, action: PayloadAction) => { + state.infillTileSize = action.payload; + }, + setInfillPatchmatchDownscaleSize: (state, action: PayloadAction) => { + state.infillPatchmatchDownscaleSize = action.payload; + }, setInfillMosaicTileWidth: (state, action: PayloadAction) => { state.infillMosaicTileWidth = action.payload; }, @@ -223,6 +224,9 @@ export const generationSlice = createSlice({ setInfillMosaicMaxColor: (state, action: PayloadAction) => { state.infillMosaicMaxColor = action.payload; }, + setInfillColorValue: (state, action: PayloadAction) => { + state.infillColorValue = action.payload; + }, }, extraReducers: (builder) => { builder.addCase(configChanged, (state, action) => { @@ -266,8 +270,6 @@ export const { setShouldFitToWidthHeight, setShouldRandomizeSeed, setSteps, - setInfillTileSize, - setInfillPatchmatchDownscaleSize, initialImageChanged, modelChanged, vaeSelected, @@ -281,10 +283,13 @@ export const { heightChanged, widthRecalled, heightRecalled, + setInfillTileSize, + setInfillPatchmatchDownscaleSize, setInfillMosaicTileWidth, setInfillMosaicTileHeight, setInfillMosaicMinColor, setInfillMosaicMaxColor, + setInfillColorValue, } = generationSlice.actions; export const { selectOptimalDimension } = generationSlice.selectors; diff --git a/invokeai/frontend/web/src/features/parameters/store/types.ts b/invokeai/frontend/web/src/features/parameters/store/types.ts index 1e69bf52d5..773cfbf925 100644 --- a/invokeai/frontend/web/src/features/parameters/store/types.ts +++ b/invokeai/frontend/web/src/features/parameters/store/types.ts @@ -40,8 +40,6 @@ export interface GenerationState { shouldFitToWidthHeight: boolean; shouldRandomizeSeed: boolean; steps: ParameterSteps; - infillTileSize: number; - infillPatchmatchDownscaleSize: number; width: ParameterWidth; model: ParameterModel | null; vae: ParameterVAEModel | null; @@ -52,10 +50,13 @@ export interface GenerationState { shouldUseCpuNoise: boolean; shouldShowAdvancedOptions: boolean; aspectRatio: AspectRatioState; + infillTileSize: number; + infillPatchmatchDownscaleSize: number; infillMosaicTileWidth: number; infillMosaicTileHeight: number; infillMosaicMinColor: RgbaColor; infillMosaicMaxColor: RgbaColor; + infillColorValue: RgbaColor; } export type PayloadActionWithOptimalDimension = PayloadAction; From b061db414f11f643788d68a11a3b1e01d248203e Mon Sep 17 00:00:00 2001 From: psychedelicious <4822129+psychedelicious@users.noreply.github.com> Date: Mon, 1 Apr 2024 19:30:55 +1100 Subject: [PATCH 07/12] tidy(nodes): abstractmethod is noop --- invokeai/app/invocations/infill.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/invokeai/app/invocations/infill.py b/invokeai/app/invocations/infill.py index 325bedaba1..ad41a81813 100644 --- a/invokeai/app/invocations/infill.py +++ b/invokeai/app/invocations/infill.py @@ -39,8 +39,8 @@ class InfillImageProcessorInvocation(BaseInvocation, WithMetadata, WithBoard): @abstractmethod def infill(self, image: Image.Image) -> Image.Image: - """Abstract to perform various infilling techniques""" - return image + """Infill the image with the specified method""" + pass def load_image(self, context: InvocationContext) -> tuple[Image.Image, bool]: """Process the image to have an alpha channel before being infilled""" @@ -110,7 +110,6 @@ class InfillPatchMatchInvocation(InfillImageProcessorInvocation): resample_mode: PIL_RESAMPLING_MODES = InputField(default="bicubic", description="The resampling mode") def infill(self, image: Image.Image): - resample_mode = PIL_RESAMPLING_MAP[self.resample_mode] width = int(image.width / self.downscale) From f0b1bb03270cd59d2b0bbbf04e8fc2ef143b6e57 Mon Sep 17 00:00:00 2001 From: psychedelicious <4822129+psychedelicious@users.noreply.github.com> Date: Thu, 4 Apr 2024 21:45:05 +1100 Subject: [PATCH 08/12] feat(nodes): redo tile infill The previous algorithm errored if the image wasn't divisible by the tile size. I've reimplemented it from scratch to mitigate this issue. The new algorithm is simpler. We create a pool of tiles, then use them to create an image composed completely of tiles. If there is any awkwardly sized space on the edge of the image, the tiles are cropped to fit. Finally, paste the original image over the tile image. I've added a jupyter notebook to do a smoke test of infilling methods, and 10 test images. The other infill algorithms can be easily tested with the notebook on the same images, though I didn't set that up yet. Tested and confirmed this gives results just as good as the earlier infill, though of course they aren't the same due to the change in the algorithm. --- invokeai/app/invocations/infill.py | 5 +- .../infill_methods/test_images/source1.webp | Bin 0 -> 45948 bytes .../infill_methods/test_images/source10.webp | Bin 0 -> 2262 bytes .../infill_methods/test_images/source2.webp | Bin 0 -> 36752 bytes .../infill_methods/test_images/source3.webp | Bin 0 -> 33716 bytes .../infill_methods/test_images/source4.webp | Bin 0 -> 21708 bytes .../infill_methods/test_images/source5.webp | Bin 0 -> 39852 bytes .../infill_methods/test_images/source6.webp | Bin 0 -> 42794 bytes .../infill_methods/test_images/source7.webp | Bin 0 -> 49582 bytes .../infill_methods/test_images/source8.webp | Bin 0 -> 50096 bytes .../infill_methods/test_images/source9.webp | Bin 0 -> 60934 bytes .../image_util/infill_methods/tile.ipynb | 95 ++++++++++ .../backend/image_util/infill_methods/tile.py | 170 +++++++++++------- 13 files changed, 207 insertions(+), 63 deletions(-) create mode 100644 invokeai/backend/image_util/infill_methods/test_images/source1.webp create mode 100644 invokeai/backend/image_util/infill_methods/test_images/source10.webp create mode 100644 invokeai/backend/image_util/infill_methods/test_images/source2.webp create mode 100644 invokeai/backend/image_util/infill_methods/test_images/source3.webp create mode 100644 invokeai/backend/image_util/infill_methods/test_images/source4.webp create mode 100644 invokeai/backend/image_util/infill_methods/test_images/source5.webp create mode 100644 invokeai/backend/image_util/infill_methods/test_images/source6.webp create mode 100644 invokeai/backend/image_util/infill_methods/test_images/source7.webp create mode 100644 invokeai/backend/image_util/infill_methods/test_images/source8.webp create mode 100644 invokeai/backend/image_util/infill_methods/test_images/source9.webp create mode 100644 invokeai/backend/image_util/infill_methods/tile.ipynb diff --git a/invokeai/app/invocations/infill.py b/invokeai/app/invocations/infill.py index ad41a81813..742ea6a121 100644 --- a/invokeai/app/invocations/infill.py +++ b/invokeai/app/invocations/infill.py @@ -95,9 +95,8 @@ class InfillTileInvocation(InfillImageProcessorInvocation): ) def infill(self, image: Image.Image): - infilled = infill_tile(image, seed=self.seed, tile_size=self.tile_size) - infilled.paste(image, (0, 0), image.split()[-1]) - return infilled + output = infill_tile(image, seed=self.seed, tile_size=self.tile_size) + return output.infilled @invocation( diff --git a/invokeai/backend/image_util/infill_methods/test_images/source1.webp b/invokeai/backend/image_util/infill_methods/test_images/source1.webp new file mode 100644 index 0000000000000000000000000000000000000000..7057eefa85f27b7f043838f5b14ca3048a14a633 GIT binary patch literal 45948 zcmb@tQB_+ZQHhO+tapf+n%;+NdN6$P@rEBAYnNrDaZd#z=T9(L|*}vI!6*>V7O@P$!IqW 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z0@FLnX9vAoWJL5?)$n>KoEzGwdOg}aD#9gNNVD3appVVIw^xfGpq+3$kYUJ#Bwd9g z!%IU{+jiTkXzv%*7pEp%`qR&U3Jd!aJKV%;=~!tw;Pv958pzl|dg`M0_hMT#a&Ks5 z2#>iPClaqK9)WQ;G8x;EK=^W^rkxF?Pw~H{E}M+^zE2Rsb~~PBV&=61_LjE)IP;#W z)XZ~qBKR?Jxq`C!4z$m=ys~+wB3Qg}rYF63)OPkT_)qU;eg)^|Vn`!S!oFSTLX(BM l^U*2{{sIa(SkiX6R`ciN(w>=NU!v(_fXd4c$bn-B008F)-m3rr literal 0 HcmV?d00001 diff --git a/invokeai/backend/image_util/infill_methods/tile.ipynb b/invokeai/backend/image_util/infill_methods/tile.ipynb new file mode 100644 index 0000000000..eac7a43657 --- /dev/null +++ b/invokeai/backend/image_util/infill_methods/tile.ipynb @@ -0,0 +1,95 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\"Smoke test for the tile infill\"\"\"\n", + "\n", + "from pathlib import Path\n", + "from typing import Optional\n", + "from PIL import Image\n", + "from invokeai.backend.image_util.infill_methods.tile import infill_tile\n", + "\n", + "images: list[tuple[str, Image.Image]] = []\n", + "\n", + "for i in sorted(Path(\"./test_images/\").glob(\"*.webp\")):\n", + " images.append((i.name, Image.open(i)))\n", + " images.append((i.name, Image.open(i).transpose(Image.FLIP_LEFT_RIGHT)))\n", + " images.append((i.name, Image.open(i).transpose(Image.FLIP_TOP_BOTTOM)))\n", + " images.append((i.name, Image.open(i).resize((512, 512))))\n", + " images.append((i.name, Image.open(i).resize((1234, 461))))\n", + "\n", + "outputs: list[tuple[str, Image.Image, Image.Image, Optional[Image.Image]]] = []\n", + "\n", + "for name, image in images:\n", + " try:\n", + " output = infill_tile(image, seed=0, tile_size=32)\n", + " outputs.append((name, image, output.infilled, output.tile_image))\n", + " except ValueError as e:\n", + " print(f\"Skipping image {name}: {e}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Display the images in jupyter notebook\n", + "import matplotlib.pyplot as plt\n", + "from PIL import ImageOps\n", + "\n", + "fig, axes = plt.subplots(len(outputs), 3, figsize=(10, 3 * len(outputs)))\n", + "plt.subplots_adjust(hspace=0)\n", + "\n", + "for i, (name, original, infilled, tile_image) in enumerate(outputs):\n", + " # Add a border to each image, helps to see the edges\n", + " size = original.size\n", + " original = ImageOps.expand(original, border=5, fill=\"red\")\n", + " filled = ImageOps.expand(infilled, border=5, fill=\"red\")\n", + " if tile_image:\n", + " tile_image = ImageOps.expand(tile_image, border=5, fill=\"red\")\n", + "\n", + " axes[i, 0].imshow(original)\n", + " axes[i, 0].axis(\"off\")\n", + " axes[i, 0].set_title(f\"Original ({name} - {size})\")\n", + "\n", + " if tile_image:\n", + " axes[i, 1].imshow(tile_image)\n", + " axes[i, 1].axis(\"off\")\n", + " axes[i, 1].set_title(\"Tile Image\")\n", + " else:\n", + " axes[i, 1].axis(\"off\")\n", + " axes[i, 1].set_title(\"NO TILES GENERATED (NO TRANSPARENCY)\")\n", + "\n", + " axes[i, 2].imshow(filled)\n", + " axes[i, 2].axis(\"off\")\n", + " axes[i, 2].set_title(\"Filled\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".invokeai", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/invokeai/backend/image_util/infill_methods/tile.py b/invokeai/backend/image_util/infill_methods/tile.py index d99d93fb95..03cb6c1a8c 100644 --- a/invokeai/backend/image_util/infill_methods/tile.py +++ b/invokeai/backend/image_util/infill_methods/tile.py @@ -1,72 +1,122 @@ -import math +from dataclasses import dataclass from typing import Optional import numpy as np from PIL import Image -def get_tile_images(image: np.ndarray, width: int = 8, height: int = 8): - _nrows, _ncols, depth = image.shape - _strides = image.strides +def create_tile_pool(img_array: np.ndarray, tile_size: tuple[int, int]) -> list[np.ndarray]: + """ + Create a pool of tiles from non-transparent areas of the image by systematically walking through the image. - nrows, _m = divmod(_nrows, height) - ncols, _n = divmod(_ncols, width) - if _m != 0 or _n != 0: - return None + Args: + img_array: numpy array of the image. + tile_size: tuple (tile_width, tile_height) specifying the size of each tile. - return np.lib.stride_tricks.as_strided( - np.ravel(image), - shape=(nrows, ncols, height, width, depth), - strides=(height * _strides[0], width * _strides[1], *_strides), - writeable=False, - ) + Returns: + A list of numpy arrays, each representing a tile. + """ + tiles: list[np.ndarray] = [] + rows, cols = img_array.shape[:2] + tile_width, tile_height = tile_size + for y in range(0, rows - tile_height + 1, tile_height): + for x in range(0, cols - tile_width + 1, tile_width): + tile = img_array[y : y + tile_height, x : x + tile_width] + # Check if the image has an alpha channel and the tile is completely opaque + if img_array.shape[2] == 4 and np.all(tile[:, :, 3] == 255): + tiles.append(tile) + elif img_array.shape[2] == 3: # If no alpha channel, append the tile + tiles.append(tile) -def infill_tile(im: Image.Image, tile_size: int = 16, seed: Optional[int] = None) -> Image.Image: - # Only fill if there's an alpha layer - if im.mode != "RGBA": - return im - - a = np.asarray(im, dtype=np.uint8) - - tile_size_tuple = (tile_size, tile_size) - - # Get the image as tiles of a specified size - tiles = get_tile_images(a, *tile_size_tuple).copy() - - # Get the mask as tiles - tiles_mask = tiles[:, :, :, :, 3] - - # Find any mask tiles with any fully transparent pixels (we will be replacing these later) - tmask_shape = tiles_mask.shape - tiles_mask = tiles_mask.reshape(math.prod(tiles_mask.shape)) - n, ny = (math.prod(tmask_shape[0:2])), math.prod(tmask_shape[2:]) - tiles_mask = tiles_mask > 0 - tiles_mask = tiles_mask.reshape((n, ny)).all(axis=1) - - # Get RGB tiles in single array and filter by the mask - tshape = tiles.shape - tiles_all = tiles.reshape((math.prod(tiles.shape[0:2]), *tiles.shape[2:])) - filtered_tiles = tiles_all[tiles_mask] - - if len(filtered_tiles) == 0: - return im - - # Find all invalid tiles and replace with a random valid tile - replace_count = (tiles_mask == False).sum() # noqa: E712 - rng = np.random.default_rng(seed=seed) - tiles_all[np.logical_not(tiles_mask)] = filtered_tiles[rng.choice(filtered_tiles.shape[0], replace_count), :, :, :] - - # Convert back to an image - tiles_all = tiles_all.reshape(tshape) - tiles_all = tiles_all.swapaxes(1, 2) - st = tiles_all.reshape( - ( - math.prod(tiles_all.shape[0:2]), - math.prod(tiles_all.shape[2:4]), - tiles_all.shape[4], + if not tiles: + raise ValueError( + "Not enough opaque pixels to generate any tiles. Use a smaller tile size or a different image." ) - ) - si = Image.fromarray(st, mode="RGBA") - return si + return tiles + + +def create_filled_image( + img_array: np.ndarray, tile_pool: list[np.ndarray], tile_size: tuple[int, int], seed: int +) -> np.ndarray: + """ + Create an image of the same dimensions as the original, filled entirely with tiles from the pool. + + Args: + img_array: numpy array of the original image. + tile_pool: A list of numpy arrays, each representing a tile. + tile_size: tuple (tile_width, tile_height) specifying the size of each tile. + + Returns: + A numpy array representing the filled image. + """ + + rows, cols, _ = img_array.shape + tile_width, tile_height = tile_size + + # Prep an empty RGB image + filled_img_array = np.zeros((rows, cols, 3), dtype=img_array.dtype) + + # Make the random tile selection reproducible + rng = np.random.default_rng(seed) + + for y in range(0, rows, tile_height): + for x in range(0, cols, tile_width): + # Pick a random tile from the pool + tile = tile_pool[rng.integers(len(tile_pool))] + + # Calculate the space available (may be less than tile size near the edges) + space_y = min(tile_height, rows - y) + space_x = min(tile_width, cols - x) + + # Crop the tile if necessary to fit into the available space + cropped_tile = tile[:space_y, :space_x, :3] + + # Fill the available space with the (possibly cropped) tile + filled_img_array[y : y + space_y, x : x + space_x, :3] = cropped_tile + + return filled_img_array + + +@dataclass +class InfillTileOutput: + infilled: Image.Image + tile_image: Optional[Image.Image] = None + + +def infill_tile(image_to_infill: Image.Image, seed: int, tile_size: int) -> InfillTileOutput: + """Infills an image with random tiles from the image itself. + + If the image is not an RGBA image, it is returned untouched. + + Args: + image: The image to infill. + tile_size: The size of the tiles to use for infilling. + + Raises: + ValueError: If there are not enough opaque pixels to generate any tiles. + """ + + if image_to_infill.mode != "RGBA": + return InfillTileOutput(infilled=image_to_infill) + + # Internally, we want a tuple of (tile_width, tile_height). In the future, the tile size can be any rectangle. + _tile_size = (tile_size, tile_size) + np_image = np.array(image_to_infill, dtype=np.uint8) + + # Create the pool of tiles that we will use to infill + tile_pool = create_tile_pool(np_image, _tile_size) + + # Create an image from the tiles, same size as the original + tile_np_image = create_filled_image(np_image, tile_pool, _tile_size, seed) + + # Paste the OG image over the tile image, effectively infilling the area + tile_image = Image.fromarray(tile_np_image, "RGB") + infilled = tile_image.copy() + infilled.paste(image_to_infill, (0, 0), image_to_infill.split()[-1]) + + # I think we want this to be "RGBA"? + infilled.convert("RGBA") + + return InfillTileOutput(infilled=infilled, tile_image=tile_image) From d6ccd5bc8179ad05804301e587c4760dbf52c139 Mon Sep 17 00:00:00 2001 From: psychedelicious <4822129+psychedelicious@users.noreply.github.com> Date: Fri, 5 Apr 2024 07:58:05 +1100 Subject: [PATCH 09/12] feat(nodes): disable mosaic fill Needs a bit of tweaking, leaving the code in just disabled/commented it out. --- invokeai/app/api/routers/app_info.py | 2 +- invokeai/app/invocations/infill.py | 10 +++++----- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/invokeai/app/api/routers/app_info.py b/invokeai/app/api/routers/app_info.py index fadc749c3b..21286ac2b0 100644 --- a/invokeai/app/api/routers/app_info.py +++ b/invokeai/app/api/routers/app_info.py @@ -100,7 +100,7 @@ async def get_app_deps() -> AppDependencyVersions: @app_router.get("/config", operation_id="get_config", status_code=200, response_model=AppConfig) async def get_config() -> AppConfig: - infill_methods = ["tile", "lama", "cv2", "color", "mosaic"] + infill_methods = ["tile", "lama", "cv2", "color"] # TODO: add mosaic back if PatchMatch.patchmatch_available(): infill_methods.append("patchmatch") diff --git a/invokeai/app/invocations/infill.py b/invokeai/app/invocations/infill.py index 742ea6a121..418bc62fdc 100644 --- a/invokeai/app/invocations/infill.py +++ b/invokeai/app/invocations/infill.py @@ -22,9 +22,9 @@ logger = InvokeAILogger.get_logger() def get_infill_methods(): - methods = Literal["tile", "color", "lama", "cv2", "mosaic"] + methods = Literal["tile", "color", "lama", "cv2"] # TODO: add mosaic back if PatchMatch.patchmatch_available(): - methods = Literal["patchmatch", "tile", "color", "lama", "cv2", "mosaic"] + methods = Literal["patchmatch", "tile", "color", "lama", "cv2"] # TODO: add mosaic back return methods @@ -145,9 +145,9 @@ class CV2InfillInvocation(InfillImageProcessorInvocation): return cv2_inpaint(image) -@invocation( - "infill_mosaic", title="Mosaic Infill", tags=["image", "inpaint", "outpaint"], category="inpaint", version="1.0.0" -) +# @invocation( +# "infill_mosaic", title="Mosaic Infill", tags=["image", "inpaint", "outpaint"], category="inpaint", version="1.0.0" +# ) class MosaicInfillInvocation(InfillImageProcessorInvocation): """Infills transparent areas of an image with a mosaic pattern drawing colors from the rest of the image""" From 90bdd74f307919edc43e12b1f3daddd30379bf5a Mon Sep 17 00:00:00 2001 From: psychedelicious <4822129+psychedelicious@users.noreply.github.com> Date: Fri, 5 Apr 2024 07:58:15 +1100 Subject: [PATCH 10/12] chore(ui): typegen --- .../frontend/web/src/services/api/schema.ts | 71 +------------------ 1 file changed, 2 insertions(+), 69 deletions(-) diff --git a/invokeai/frontend/web/src/services/api/schema.ts b/invokeai/frontend/web/src/services/api/schema.ts index c42078d414..72da0f1f8c 100644 --- a/invokeai/frontend/web/src/services/api/schema.ts +++ b/invokeai/frontend/web/src/services/api/schema.ts @@ -4112,7 +4112,7 @@ export type components = { * @description The nodes in this graph */ nodes: { - [key: string]: components["schemas"]["FaceOffInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["DWOpenposeImageProcessorInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["TileToPropertiesInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["LoRALoaderInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["MergeTilesToImageInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["MetadataInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["MergeMetadataInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["VAELoaderInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["PairTileImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["IdealSizeInvocation"] | components["schemas"]["CenterPadCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["CalculateImageTilesInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["UnsharpMaskInvocation"] | components["schemas"]["MetadataItemInvocation"] | components["schemas"]["MaskFromIDInvocation"] | components["schemas"]["CoreMetadataInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["BooleanInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["CanvasPasteBackInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["DepthAnythingImageProcessorInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["SDXLLoRALoaderInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["FreeUInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["MosaicInfillInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["CreateGradientMaskInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["CLIPSkipInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["CalculateImageTilesEvenSplitInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["CropLatentsCoreInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["CalculateImageTilesMinimumOverlapInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["ImageInverseLerpInvocation"]; + [key: string]: components["schemas"]["ColorInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["LoRALoaderInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["TileToPropertiesInvocation"] | components["schemas"]["MaskFromIDInvocation"] | components["schemas"]["UnsharpMaskInvocation"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["SDXLLoRALoaderInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["FreeUInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MetadataItemInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["DepthAnythingImageProcessorInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CanvasPasteBackInvocation"] | components["schemas"]["IdealSizeInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["CalculateImageTilesMinimumOverlapInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["CalculateImageTilesInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["DWOpenposeImageProcessorInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["MergeTilesToImageInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["MetadataInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["CLIPSkipInvocation"] | components["schemas"]["MergeMetadataInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["PairTileImageInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CropLatentsCoreInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["VAELoaderInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["CalculateImageTilesEvenSplitInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["CreateGradientMaskInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["CoreMetadataInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["FaceOffInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["BooleanInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["CenterPadCropInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["ImagePasteInvocation"]; }; /** * Edges @@ -4149,7 +4149,7 @@ export type components = { * @description The results of node executions */ results: { - [key: string]: components["schemas"]["ControlOutput"] | components["schemas"]["CLIPOutput"] | components["schemas"]["CollectInvocationOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["TileToPropertiesOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["GradientMaskOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["FaceOffOutput"] | components["schemas"]["String2Output"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["SDXLLoRALoaderOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringPosNegOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["LoRALoaderOutput"] | components["schemas"]["CalculateImageTilesOutput"] | components["schemas"]["MetadataItemOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["FaceMaskOutput"] | components["schemas"]["MetadataOutput"] | components["schemas"]["BooleanOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["IPAdapterOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["PairTileImageOutput"] | components["schemas"]["IdealSizeOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["CLIPSkipInvocationOutput"] | components["schemas"]["T2IAdapterOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["UNetOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["VAEOutput"]; + [key: string]: components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["GradientMaskOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["CLIPOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["VAEOutput"] | components["schemas"]["FaceMaskOutput"] | components["schemas"]["BooleanOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["PairTileImageOutput"] | components["schemas"]["LoRALoaderOutput"] | components["schemas"]["MetadataOutput"] | components["schemas"]["IPAdapterOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["IdealSizeOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["StringPosNegOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["TileToPropertiesOutput"] | components["schemas"]["CalculateImageTilesOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["CLIPSkipInvocationOutput"] | components["schemas"]["FaceOffOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["UNetOutput"] | components["schemas"]["T2IAdapterOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["SDXLLoRALoaderOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["MetadataItemOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["String2Output"] | components["schemas"]["StringOutput"]; }; /** * Errors @@ -7702,73 +7702,6 @@ export type components = { /** Models */ models: (components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"] | components["schemas"]["VAEDiffusersConfig"] | components["schemas"]["VAECheckpointConfig"] | components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"] | components["schemas"]["LoRALyCORISConfig"] | components["schemas"]["LoRADiffusersConfig"] | components["schemas"]["TextualInversionFileConfig"] | components["schemas"]["TextualInversionFolderConfig"] | components["schemas"]["IPAdapterInvokeAIConfig"] | components["schemas"]["IPAdapterCheckpointConfig"] | components["schemas"]["T2IAdapterConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"])[]; }; - /** - * Mosaic Infill - * @description Infills transparent areas of an image with a mosaic pattern drawing colors from the rest of the image - */ - MosaicInfillInvocation: { - /** @description The board to save the image to */ - board?: components["schemas"]["BoardField"] | null; - /** @description Optional metadata to be saved with the image */ - metadata?: components["schemas"]["MetadataField"] | null; - /** - * Id - * @description The id of this instance of an invocation. Must be unique among all instances of invocations. - */ - id: string; - /** - * Is Intermediate - * @description Whether or not this is an intermediate invocation. - * @default false - */ - is_intermediate?: boolean; - /** - * Use Cache - * @description Whether or not to use the cache - * @default true - */ - use_cache?: boolean; - /** @description The image to infill */ - image?: components["schemas"]["ImageField"]; - /** - * Tile Width - * @description Width of the tile - * @default 64 - */ - tile_width?: number; - /** - * Tile Height - * @description Height of the tile - * @default 64 - */ - tile_height?: number; - /** - * @description The min threshold for color - * @default { - * "r": 0, - * "g": 0, - * "b": 0, - * "a": 255 - * } - */ - min_color?: components["schemas"]["ColorField"]; - /** - * @description The max threshold for color - * @default { - * "r": 255, - * "g": 255, - * "b": 255, - * "a": 255 - * } - */ - max_color?: components["schemas"]["ColorField"]; - /** - * type - * @default infill_mosaic - * @constant - */ - type: "infill_mosaic"; - }; /** * Multiply Integers * @description Multiplies two numbers From 5d4a57177819c7ea384e04c2d8b4b40194bdb029 Mon Sep 17 00:00:00 2001 From: psychedelicious <4822129+psychedelicious@users.noreply.github.com> Date: Fri, 5 Apr 2024 07:58:34 +1100 Subject: [PATCH 11/12] feat(ui): disable mosaic infill in graph builders --- .../util/graph/buildCanvasOutpaintGraph.ts | 31 ++++++++++--------- .../graph/buildCanvasSDXLOutpaintGraph.ts | 31 ++++++++++--------- 2 files changed, 32 insertions(+), 30 deletions(-) diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasOutpaintGraph.ts index 30dd44aa18..6a59c51872 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasOutpaintGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasOutpaintGraph.ts @@ -65,10 +65,10 @@ export const buildCanvasOutpaintGraph = async ( infillTileSize, infillPatchmatchDownscaleSize, infillMethod, - infillMosaicTileWidth, - infillMosaicTileHeight, - infillMosaicMinColor, - infillMosaicMaxColor, + // infillMosaicTileWidth, + // infillMosaicTileHeight, + // infillMosaicMinColor, + // infillMosaicMaxColor, infillColorValue, clipSkip, seamlessXAxis, @@ -361,17 +361,18 @@ export const buildCanvasOutpaintGraph = async ( }; } - if (infillMethod === 'mosaic') { - graph.nodes[INPAINT_INFILL] = { - type: 'infill_mosaic', - id: INPAINT_INFILL, - is_intermediate, - tile_width: infillMosaicTileWidth, - tile_height: infillMosaicTileHeight, - min_color: infillMosaicMinColor, - max_color: infillMosaicMaxColor, - }; - } + // TODO: add mosaic back + // if (infillMethod === 'mosaic') { + // graph.nodes[INPAINT_INFILL] = { + // type: 'infill_mosaic', + // id: INPAINT_INFILL, + // is_intermediate, + // tile_width: infillMosaicTileWidth, + // tile_height: infillMosaicTileHeight, + // min_color: infillMosaicMinColor, + // max_color: infillMosaicMaxColor, + // }; + // } if (infillMethod === 'color') { graph.nodes[INPAINT_INFILL] = { diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasSDXLOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasSDXLOutpaintGraph.ts index 4ec00a2cd6..b932b26660 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasSDXLOutpaintGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graph/buildCanvasSDXLOutpaintGraph.ts @@ -66,10 +66,10 @@ export const buildCanvasSDXLOutpaintGraph = async ( infillTileSize, infillPatchmatchDownscaleSize, infillMethod, - infillMosaicTileWidth, - infillMosaicTileHeight, - infillMosaicMinColor, - infillMosaicMaxColor, + // infillMosaicTileWidth, + // infillMosaicTileHeight, + // infillMosaicMinColor, + // infillMosaicMaxColor, infillColorValue, seamlessXAxis, seamlessYAxis, @@ -370,17 +370,18 @@ export const buildCanvasSDXLOutpaintGraph = async ( }; } - if (infillMethod === 'mosaic') { - graph.nodes[INPAINT_INFILL] = { - type: 'infill_mosaic', - id: INPAINT_INFILL, - is_intermediate, - tile_width: infillMosaicTileWidth, - tile_height: infillMosaicTileHeight, - min_color: infillMosaicMinColor, - max_color: infillMosaicMaxColor, - }; - } + // TODO: add mosaic back + // if (infillMethod === 'mosaic') { + // graph.nodes[INPAINT_INFILL] = { + // type: 'infill_mosaic', + // id: INPAINT_INFILL, + // is_intermediate, + // tile_width: infillMosaicTileWidth, + // tile_height: infillMosaicTileHeight, + // min_color: infillMosaicMinColor, + // max_color: infillMosaicMaxColor, + // }; + // } if (infillMethod === 'color') { graph.nodes[INPAINT_INFILL] = { From 3006285d1358bbb97325b7d76ffdd332484263c6 Mon Sep 17 00:00:00 2001 From: psychedelicious <4822129+psychedelicious@users.noreply.github.com> Date: Fri, 5 Apr 2024 09:21:13 +1100 Subject: [PATCH 12/12] fix(ui): display refiner models in mm --- invokeai/frontend/web/public/locales/en.json | 1 + .../store/modelManagerV2Slice.ts | 2 +- .../subpanels/ModelManagerPanel/ModelList.tsx | 60 +++++++++++++++++-- .../ModelManagerPanel/ModelTypeFilter.tsx | 1 + 4 files changed, 59 insertions(+), 5 deletions(-) diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json index 96fb8e5748..0cf98289e4 100644 --- a/invokeai/frontend/web/public/locales/en.json +++ b/invokeai/frontend/web/public/locales/en.json @@ -684,6 +684,7 @@ "noModelsInstalled": "No Models Installed", "noModelsInstalledDesc1": "Install models with the", "noModelSelected": "No Model Selected", + "noMatchingModels": "No matching Models", "none": "none", "path": "Path", "pathToConfig": "Path To Config", diff --git a/invokeai/frontend/web/src/features/modelManagerV2/store/modelManagerV2Slice.ts b/invokeai/frontend/web/src/features/modelManagerV2/store/modelManagerV2Slice.ts index 6bdd829bb1..c637d30fd8 100644 --- a/invokeai/frontend/web/src/features/modelManagerV2/store/modelManagerV2Slice.ts +++ b/invokeai/frontend/web/src/features/modelManagerV2/store/modelManagerV2Slice.ts @@ -3,7 +3,7 @@ import { createSlice } from '@reduxjs/toolkit'; import type { PersistConfig } from 'app/store/store'; import type { ModelType } from 'services/api/types'; -export type FilterableModelType = Exclude; +export type FilterableModelType = Exclude | 'refiner'; type ModelManagerState = { _version: 1; diff --git a/invokeai/frontend/web/src/features/modelManagerV2/subpanels/ModelManagerPanel/ModelList.tsx b/invokeai/frontend/web/src/features/modelManagerV2/subpanels/ModelManagerPanel/ModelList.tsx index 033841ec79..67e65dbfb6 100644 --- a/invokeai/frontend/web/src/features/modelManagerV2/subpanels/ModelManagerPanel/ModelList.tsx +++ b/invokeai/frontend/web/src/features/modelManagerV2/subpanels/ModelManagerPanel/ModelList.tsx @@ -1,6 +1,7 @@ -import { Flex } from '@invoke-ai/ui-library'; +import { Flex, Text } from '@invoke-ai/ui-library'; import { useAppSelector } from 'app/store/storeHooks'; import ScrollableContent from 'common/components/OverlayScrollbars/ScrollableContent'; +import type { FilterableModelType } from 'features/modelManagerV2/store/modelManagerV2Slice'; import { memo, useMemo } from 'react'; import { useTranslation } from 'react-i18next'; import { @@ -9,10 +10,11 @@ import { useIPAdapterModels, useLoRAModels, useMainModels, + useRefinerModels, useT2IAdapterModels, useVAEModels, } from 'services/api/hooks/modelsByType'; -import type { AnyModelConfig, ModelType } from 'services/api/types'; +import type { AnyModelConfig } from 'services/api/types'; import { FetchingModelsLoader } from './FetchingModelsLoader'; import { ModelListWrapper } from './ModelListWrapper'; @@ -27,6 +29,12 @@ const ModelList = () => { [mainModels, searchTerm, filteredModelType] ); + const [refinerModels, { isLoading: isLoadingRefinerModels }] = useRefinerModels(); + const filteredRefinerModels = useMemo( + () => modelsFilter(refinerModels, searchTerm, filteredModelType), + [refinerModels, searchTerm, filteredModelType] + ); + const [loraModels, { isLoading: isLoadingLoRAModels }] = useLoRAModels(); const filteredLoRAModels = useMemo( () => modelsFilter(loraModels, searchTerm, filteredModelType), @@ -63,6 +71,28 @@ const ModelList = () => { [vaeModels, searchTerm, filteredModelType] ); + const totalFilteredModels = useMemo(() => { + return ( + filteredMainModels.length + + filteredRefinerModels.length + + filteredLoRAModels.length + + filteredEmbeddingModels.length + + filteredControlNetModels.length + + filteredT2IAdapterModels.length + + filteredIPAdapterModels.length + + filteredVAEModels.length + ); + }, [ + filteredControlNetModels.length, + filteredEmbeddingModels.length, + filteredIPAdapterModels.length, + filteredLoRAModels.length, + filteredMainModels.length, + filteredRefinerModels.length, + filteredT2IAdapterModels.length, + filteredVAEModels.length, + ]); + return ( @@ -71,6 +101,11 @@ const ModelList = () => { {!isLoadingMainModels && filteredMainModels.length > 0 && ( )} + {/* Refiner Model List */} + {isLoadingRefinerModels && } + {!isLoadingRefinerModels && filteredRefinerModels.length > 0 && ( + + )} {/* LoRAs List */} {isLoadingLoRAModels && } {!isLoadingLoRAModels && filteredLoRAModels.length > 0 && ( @@ -108,6 +143,11 @@ const ModelList = () => { {!isLoadingT2IAdapterModels && filteredT2IAdapterModels.length > 0 && ( )} + {totalFilteredModels === 0 && ( + + {t('modelManager.noMatchingModels')} + + )} ); @@ -118,12 +158,24 @@ export default memo(ModelList); const modelsFilter = ( data: T[], nameFilter: string, - filteredModelType: ModelType | null + filteredModelType: FilterableModelType | null ): T[] => { return data.filter((model) => { const matchesFilter = model.name.toLowerCase().includes(nameFilter.toLowerCase()); - const matchesType = filteredModelType ? model.type === filteredModelType : true; + const matchesType = getMatchesType(model, filteredModelType); return matchesFilter && matchesType; }); }; + +const getMatchesType = (modelConfig: AnyModelConfig, filteredModelType: FilterableModelType | null): boolean => { + if (filteredModelType === 'refiner') { + return modelConfig.base === 'sdxl-refiner'; + } + + if (filteredModelType === 'main' && modelConfig.base === 'sdxl-refiner') { + return false; + } + + return filteredModelType ? modelConfig.type === filteredModelType : true; +}; diff --git a/invokeai/frontend/web/src/features/modelManagerV2/subpanels/ModelManagerPanel/ModelTypeFilter.tsx b/invokeai/frontend/web/src/features/modelManagerV2/subpanels/ModelManagerPanel/ModelTypeFilter.tsx index 0b8ad3f600..76802b36e7 100644 --- a/invokeai/frontend/web/src/features/modelManagerV2/subpanels/ModelManagerPanel/ModelTypeFilter.tsx +++ b/invokeai/frontend/web/src/features/modelManagerV2/subpanels/ModelManagerPanel/ModelTypeFilter.tsx @@ -13,6 +13,7 @@ export const ModelTypeFilter = () => { const MODEL_TYPE_LABELS: Record = useMemo( () => ({ main: t('modelManager.main'), + refiner: t('sdxl.refiner'), lora: 'LoRA', embedding: t('modelManager.textualInversions'), controlnet: 'ControlNet',