From f7d8ae20a6687900d80577925c4e0a9f82a3e56d Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Sat, 1 Jul 2023 20:07:14 -0400 Subject: [PATCH 01/72] rolled back changes to package.json --- invokeai/frontend/web/package.json | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/invokeai/frontend/web/package.json b/invokeai/frontend/web/package.json index 1e1493c179..786a721d5c 100644 --- a/invokeai/frontend/web/package.json +++ b/invokeai/frontend/web/package.json @@ -80,7 +80,6 @@ "i18next-browser-languagedetector": "^7.0.2", "i18next-http-backend": "^2.2.1", "konva": "^9.2.0", - "linters": "^0.0.5", "lodash-es": "^4.17.21", "nanostores": "^0.9.2", "openapi-fetch": "^0.4.0", @@ -134,14 +133,14 @@ "axios": "^1.4.0", "babel-plugin-transform-imports": "^2.0.0", "concurrently": "^8.2.0", - "eslint": "^8.44.0", + "eslint": "^8.43.0", "eslint-config-prettier": "^8.8.0", "eslint-plugin-prettier": "^4.2.1", "eslint-plugin-react": "^7.32.2", "eslint-plugin-react-hooks": "^4.6.0", "form-data": "^4.0.0", "husky": "^8.0.3", - "lint-staged": "^13.2.3", + "lint-staged": "^13.2.2", "madge": "^6.1.0", "openapi-types": "^12.1.3", "openapi-typescript": "^6.2.8", From eb9d74653dcfcf2b1e045f48f752ae936a446582 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Fri, 14 Jul 2023 19:03:41 -0400 Subject: [PATCH 02/72] set default models for realesrgan, controlnet and text inversion --- .../backend/install/invokeai_configure.py | 60 ++++++------------- invokeai/configs/INITIAL_MODELS.yaml | 8 +++ invokeai/frontend/install/model_install.py | 7 ++- invokeai/version/invokeai_version.py | 2 +- 4 files changed, 33 insertions(+), 44 deletions(-) diff --git a/invokeai/backend/install/invokeai_configure.py b/invokeai/backend/install/invokeai_configure.py index adc985c655..695e67e32d 100755 --- a/invokeai/backend/install/invokeai_configure.py +++ b/invokeai/backend/install/invokeai_configure.py @@ -227,45 +227,25 @@ def download_conversion_models(): # --------------------------------------------- def download_realesrgan(): logger.info("Installing models from RealESRGAN...") - model_url = "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-general-x4v3.pth" - wdn_model_url = "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-general-wdn-x4v3.pth" - - model_dest = config.root_path / "models/core/upscaling/realesrgan/realesr-general-x4v3.pth" - wdn_model_dest = config.root_path / "models/core/upscaling/realesrgan/realesr-general-wdn-x4v3.pth" - - download_with_progress_bar(model_url, str(model_dest), "RealESRGAN") - download_with_progress_bar(wdn_model_url, str(wdn_model_dest), "RealESRGANwdn") - - -def download_gfpgan(): - logger.info("Installing GFPGAN models...") - for model in ( - [ - "https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth", - "./models/core/face_restoration/gfpgan/GFPGANv1.4.pth", - ], - [ - "https://github.com/xinntao/facexlib/releases/download/v0.1.0/detection_Resnet50_Final.pth", - "./models/core/face_restoration/gfpgan/weights/detection_Resnet50_Final.pth", - ], - [ - "https://github.com/xinntao/facexlib/releases/download/v0.2.2/parsing_parsenet.pth", - "./models/core/face_restoration/gfpgan/weights/parsing_parsenet.pth", - ], - ): - model_url, model_dest = model[0], config.root_path / model[1] - download_with_progress_bar(model_url, str(model_dest), "GFPGAN weights") - - -# --------------------------------------------- -def download_codeformer(): - logger.info("Installing CodeFormer model file...") - model_url = ( - "https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/codeformer.pth" - ) - model_dest = config.root_path / "models/core/face_restoration/codeformer/codeformer.pth" - download_with_progress_bar(model_url, str(model_dest), "CodeFormer") - + URLs = [ + dict( + url = "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth", + dest = "core/upscaling/realesrgan/RealESRGAN_x4plus.pth", + description = "RealESRGAN X4 Plus", + ), + dict( + url = "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth", + dest = "core/upscaling/realesrgan/RealESRGAN_x4plus_anime_6B.pth", + description = "RealESRGAN X4 Plus Anime 6B", + ), + dict( + url= "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.1/ESRGAN_SRx4_DF2KOST_official-ff704c30.pth", + dest= "core/upscaling/realesrgan/ESRGAN_SRx4_DF2KOST_official-ff704c30.pth", + description = "RealESRGAN X4 Official", + ), + ] + for model in URLs: + download_with_progress_bar(model['url'], config.models_path / model['dest'], model['description']) # --------------------------------------------- def download_clipseg(): @@ -281,8 +261,6 @@ def download_clipseg(): def download_support_models(): download_realesrgan() - download_gfpgan() - download_codeformer() download_clipseg() download_conversion_models() diff --git a/invokeai/configs/INITIAL_MODELS.yaml b/invokeai/configs/INITIAL_MODELS.yaml index 4ba67bc4bc..8152defdf1 100644 --- a/invokeai/configs/INITIAL_MODELS.yaml +++ b/invokeai/configs/INITIAL_MODELS.yaml @@ -58,22 +58,29 @@ sd-1/main/waifu-diffusion: recommended: False sd-1/controlnet/canny: repo_id: lllyasviel/control_v11p_sd15_canny + recommended: True sd-1/controlnet/inpaint: repo_id: lllyasviel/control_v11p_sd15_inpaint sd-1/controlnet/mlsd: repo_id: lllyasviel/control_v11p_sd15_mlsd sd-1/controlnet/depth: repo_id: lllyasviel/control_v11f1p_sd15_depth + recommended: True sd-1/controlnet/normal_bae: repo_id: lllyasviel/control_v11p_sd15_normalbae sd-1/controlnet/seg: repo_id: lllyasviel/control_v11p_sd15_seg sd-1/controlnet/lineart: repo_id: lllyasviel/control_v11p_sd15_lineart + recommended: True sd-1/controlnet/lineart_anime: repo_id: lllyasviel/control_v11p_sd15s2_lineart_anime +sd-1/controlnet/openpose: + repo_id: lllyasviel/control_v11p_sd15_openpose + recommended: True sd-1/controlnet/scribble: repo_id: lllyasviel/control_v11p_sd15_scribble + recommended: False sd-1/controlnet/softedge: repo_id: lllyasviel/control_v11p_sd15_softedge sd-1/controlnet/shuffle: @@ -84,6 +91,7 @@ sd-1/controlnet/ip2p: repo_id: lllyasviel/control_v11e_sd15_ip2p sd-1/embedding/EasyNegative: path: https://huggingface.co/embed/EasyNegative/resolve/main/EasyNegative.safetensors + recommended: True sd-1/embedding/ahx-beta-453407d: repo_id: sd-concepts-library/ahx-beta-453407d sd-1/lora/LowRA: diff --git a/invokeai/frontend/install/model_install.py b/invokeai/frontend/install/model_install.py index 736d27a321..b268e59649 100644 --- a/invokeai/frontend/install/model_install.py +++ b/invokeai/frontend/install/model_install.py @@ -256,6 +256,8 @@ class addModelsForm(CyclingForm, npyscreen.FormMultiPage): widgets = dict() model_list = [x for x in self.all_models if self.all_models[x].model_type==model_type and not x in exclude] model_labels = [self.model_labels[x] for x in model_list] + + show_recommended = len(self.installed_models)==0 if len(model_list) > 0: max_width = max([len(x) for x in model_labels]) columns = window_width // (max_width+8) # 8 characters for "[x] " and padding @@ -280,7 +282,8 @@ class addModelsForm(CyclingForm, npyscreen.FormMultiPage): value=[ model_list.index(x) for x in model_list - if self.all_models[x].installed + if (show_recommended and self.all_models[x].recommended) \ + or self.all_models[x].installed ], max_height=len(model_list)//columns + 1, relx=4, @@ -773,7 +776,7 @@ def main(): config.parse_args(invoke_args) logger = InvokeAILogger().getLogger(config=config) - if not (config.conf_path / 'models.yaml').exists(): + if not config.model_conf_path.exists(): logger.info( "Your InvokeAI root directory is not set up. Calling invokeai-configure." ) diff --git a/invokeai/version/invokeai_version.py b/invokeai/version/invokeai_version.py index 0b9bff289b..699bd3e165 100644 --- a/invokeai/version/invokeai_version.py +++ b/invokeai/version/invokeai_version.py @@ -1 +1 @@ -__version__ = "3.0.0+b5" +__version__ = "3.0.0+b6" From a45f7ce3553f6edaf6a588ae209d3c62c5118b60 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Fri, 14 Jul 2023 19:52:47 -0400 Subject: [PATCH 03/72] add --list-models command --- invokeai/backend/install/invokeai_configure.py | 4 ++-- invokeai/backend/install/model_install_backend.py | 7 +++++++ invokeai/backend/model_management/model_manager.py | 3 +-- invokeai/frontend/install/model_install.py | 6 ++++-- 4 files changed, 14 insertions(+), 6 deletions(-) diff --git a/invokeai/backend/install/invokeai_configure.py b/invokeai/backend/install/invokeai_configure.py index 695e67e32d..86da993e85 100755 --- a/invokeai/backend/install/invokeai_configure.py +++ b/invokeai/backend/install/invokeai_configure.py @@ -836,9 +836,9 @@ def main(): download_support_models() if opt.skip_sd_weights: - logger.info("\n** SKIPPING DIFFUSION WEIGHTS DOWNLOAD PER USER REQUEST **") + logger.warning("SKIPPING DIFFUSION WEIGHTS DOWNLOAD PER USER REQUEST") elif models_to_download: - logger.info("\n** DOWNLOADING DIFFUSION WEIGHTS **") + logger.info("DOWNLOADING DIFFUSION WEIGHTS") process_and_execute(opt, models_to_download) postscript(errors=errors) diff --git a/invokeai/backend/install/model_install_backend.py b/invokeai/backend/install/model_install_backend.py index b6f6d62d97..c1fa30c3b7 100644 --- a/invokeai/backend/install/model_install_backend.py +++ b/invokeai/backend/install/model_install_backend.py @@ -119,6 +119,7 @@ class ModelInstall(object): # supplement with entries in models.yaml installed_models = self.mgr.list_models() + for md in installed_models: base = md['base_model'] model_type = md['model_type'] @@ -136,6 +137,12 @@ class ModelInstall(object): ) return {x : model_dict[x] for x in sorted(model_dict.keys(),key=lambda y: model_dict[y].name.lower())} + def list_models(self, model_type): + installed = self.mgr.list_models(model_type=model_type) + print(f'Installed models of type `{model_type}`:') + for i in installed: + print(f"{i['model_name']}\t{i['base_model']}\t{i['path']}") + def starter_models(self)->Set[str]: models = set() for key, value in self.datasets.items(): diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py index 6b9d085885..a38fcf6c24 100644 --- a/invokeai/backend/model_management/model_manager.py +++ b/invokeai/backend/model_management/model_manager.py @@ -849,7 +849,6 @@ class ModelManager(object): if autodir is None: continue - self.logger.info(f'Scanning {autodir} for models to import') installed = dict() autodir = self.app_config.root_path / autodir @@ -884,9 +883,9 @@ class ModelManager(object): except ValueError as e: self.logger.warning(str(e)) - self.logger.info(f'Scanned {items_scanned} files and directories, imported {len(new_models_found)} models') installed.update(new_models_found) + self.logger.info(f'Scanned {items_scanned} files and directories, imported {len(new_models_found)} models') return installed def heuristic_import(self, diff --git a/invokeai/frontend/install/model_install.py b/invokeai/frontend/install/model_install.py index b268e59649..787da5724f 100644 --- a/invokeai/frontend/install/model_install.py +++ b/invokeai/frontend/install/model_install.py @@ -675,7 +675,9 @@ def select_and_download_models(opt: Namespace): # pass installer = ModelInstall(config, prediction_type_helper=helper) - if opt.add or opt.delete: + if opt.list_models: + installer.list_models(opt.list_models) + elif opt.add or opt.delete: selections = InstallSelections( install_models = opt.add or [], remove_models = opt.delete or [] @@ -748,7 +750,7 @@ def main(): ) parser.add_argument( "--list-models", - choices=["diffusers","loras","controlnets","tis"], + choices=[x.value for x in ModelType], help="list installed models", ) parser.add_argument( From b306247eb54539bc6d2f523716c98e0dc41d3768 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Fri, 14 Jul 2023 20:39:42 -0400 Subject: [PATCH 04/72] remove clipseg model install --- invokeai/backend/install/invokeai_configure.py | 15 --------------- 1 file changed, 15 deletions(-) diff --git a/invokeai/backend/install/invokeai_configure.py b/invokeai/backend/install/invokeai_configure.py index 86da993e85..9d126a0a93 100755 --- a/invokeai/backend/install/invokeai_configure.py +++ b/invokeai/backend/install/invokeai_configure.py @@ -30,8 +30,6 @@ from huggingface_hub import login as hf_hub_login from omegaconf import OmegaConf from tqdm import tqdm from transformers import ( - AutoProcessor, - CLIPSegForImageSegmentation, CLIPTextModel, CLIPTokenizer, AutoFeatureExtractor, @@ -45,7 +43,6 @@ from invokeai.app.services.config import ( from invokeai.backend.util.logging import InvokeAILogger from invokeai.frontend.install.model_install import addModelsForm, process_and_execute from invokeai.frontend.install.widgets import ( - SingleSelectColumns, CenteredButtonPress, IntTitleSlider, set_min_terminal_size, @@ -248,20 +245,8 @@ def download_realesrgan(): download_with_progress_bar(model['url'], config.models_path / model['dest'], model['description']) # --------------------------------------------- -def download_clipseg(): - logger.info("Installing clipseg model for text-based masking...") - CLIPSEG_MODEL = "CIDAS/clipseg-rd64-refined" - try: - hf_download_from_pretrained(AutoProcessor, CLIPSEG_MODEL, config.root_path / 'models/core/misc/clipseg') - hf_download_from_pretrained(CLIPSegForImageSegmentation, CLIPSEG_MODEL, config.root_path / 'models/core/misc/clipseg') - except Exception: - logger.info("Error installing clipseg model:") - logger.info(traceback.format_exc()) - - def download_support_models(): download_realesrgan() - download_clipseg() download_conversion_models() # ------------------------------------- From 690331b8c0ae3b60f157a0e12f324a30e62b232d Mon Sep 17 00:00:00 2001 From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com> Date: Sat, 15 Jul 2023 17:33:09 +1200 Subject: [PATCH 05/72] chore: Regen Schema --- .../frontend/web/src/services/api/schema.d.ts | 295 ++++++++++++++---- 1 file changed, 230 insertions(+), 65 deletions(-) diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts index acbed14eac..2ae5109f4f 100644 --- a/invokeai/frontend/web/src/services/api/schema.d.ts +++ b/invokeai/frontend/web/src/services/api/schema.d.ts @@ -75,11 +75,6 @@ export type paths = { * @description Gets a list of models */ get: operations["list_models"]; - /** - * Import Model - * @description Add a model using its local path, repo_id, or remote URL - */ - post: operations["import_model"]; }; "/api/v1/models/{base_model}/{model_type}/{model_name}": { /** @@ -93,13 +88,53 @@ export type paths = { */ patch: operations["update_model"]; }; + "/api/v1/models/import": { + /** + * Import Model + * @description Add a model using its local path, repo_id, or remote URL. Model characteristics will be probed and configured automatically + */ + post: operations["import_model"]; + }; + "/api/v1/models/add": { + /** + * Add Model + * @description Add a model using the configuration information appropriate for its type. Only local models can be added by path + */ + post: operations["add_model"]; + }; + "/api/v1/models/rename/{base_model}/{model_type}/{model_name}": { + /** + * Rename Model + * @description Rename a model + */ + post: operations["rename_model"]; + }; "/api/v1/models/convert/{base_model}/{model_type}/{model_name}": { /** * Convert Model - * @description Convert a checkpoint model into a diffusers model + * @description Convert a checkpoint model into a diffusers model, optionally saving to the indicated destination directory, or `models` if none. */ put: operations["convert_model"]; }; + "/api/v1/models/search": { + /** Search For Models */ + get: operations["search_for_models"]; + }; + "/api/v1/models/ckpt_confs": { + /** + * List Ckpt Configs + * @description Return a list of the legacy checkpoint configuration files stored in `ROOT/configs/stable-diffusion`, relative to ROOT. + */ + get: operations["list_ckpt_configs"]; + }; + "/api/v1/models/sync": { + /** + * Sync To Config + * @description Call after making changes to models.yaml, autoimport directories or models directory to synchronize + * in-memory data structures with disk data structures. + */ + get: operations["sync_to_config"]; + }; "/api/v1/models/merge/{base_model}": { /** * Merge Models @@ -397,6 +432,11 @@ export type components = { * @default false */ force?: boolean; + /** + * Merge Dest Directory + * @description Save the merged model to the designated directory (with 'merged_model_name' appended) + */ + merge_dest_directory?: string; }; /** Body_remove_board_image */ Body_remove_board_image: { @@ -1174,7 +1214,7 @@ export type components = { * @description The nodes in this graph */ nodes?: { - [key: string]: (components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["UpscaleInvocation"] | components["schemas"]["RestoreFaceInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]) | undefined; + [key: string]: (components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["RestoreFaceInvocation"] | components["schemas"]["UpscaleInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]) | undefined; }; /** * Edges @@ -1217,7 +1257,7 @@ export type components = { * @description The results of node executions */ results: { - [key: string]: (components["schemas"]["ImageOutput"] | components["schemas"]["MaskOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["PromptOutput"] | components["schemas"]["PromptCollectionOutput"] | components["schemas"]["CompelOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["IntOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["IntCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined; + [key: string]: (components["schemas"]["ImageOutput"] | components["schemas"]["MaskOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["IntCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["CompelOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["IntOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["PromptOutput"] | components["schemas"]["PromptCollectionOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined; }; /** * Errors @@ -1923,12 +1963,12 @@ export type components = { * Width * @description The width to resize to (px) */ - width: number; + width?: number; /** * Height * @description The height to resize to (px) */ - height: number; + height?: number; /** * Resample Mode * @description The resampling mode @@ -3290,7 +3330,7 @@ export type components = { /** ModelsList */ ModelsList: { /** Models */ - models: (components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"])[]; + models: (components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"])[]; }; /** * MultiplyInvocation @@ -3910,14 +3950,16 @@ export type components = { latents?: components["schemas"]["LatentsField"]; /** * Width - * @description The width to resize to (px) + * @description The width to resize to (px) + * @default 512 */ - width: number; + width?: number; /** * Height - * @description The height to resize to (px) + * @description The height to resize to (px) + * @default 512 */ - height: number; + height?: number; /** * Mode * @description The interpolation mode @@ -4605,18 +4647,18 @@ export type components = { */ image?: components["schemas"]["ImageField"]; }; - /** - * StableDiffusion2ModelFormat - * @description An enumeration. - * @enum {string} - */ - StableDiffusion2ModelFormat: "checkpoint" | "diffusers"; /** * StableDiffusion1ModelFormat * @description An enumeration. * @enum {string} */ StableDiffusion1ModelFormat: "checkpoint" | "diffusers"; + /** + * StableDiffusion2ModelFormat + * @description An enumeration. + * @enum {string} + */ + StableDiffusion2ModelFormat: "checkpoint" | "diffusers"; }; responses: never; parameters: never; @@ -4727,7 +4769,7 @@ export type operations = { }; requestBody: { content: { - "application/json": components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["UpscaleInvocation"] | components["schemas"]["RestoreFaceInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]; + "application/json": components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["RestoreFaceInvocation"] | components["schemas"]["UpscaleInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]; }; }; responses: { @@ -4764,7 +4806,7 @@ export type operations = { }; requestBody: { content: { - "application/json": components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["UpscaleInvocation"] | components["schemas"]["RestoreFaceInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]; + "application/json": components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["RestoreFaceInvocation"] | components["schemas"]["UpscaleInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]; }; }; responses: { @@ -4983,37 +5025,6 @@ export type operations = { }; }; }; - /** - * Import Model - * @description Add a model using its local path, repo_id, or remote URL - */ - import_model: { - requestBody: { - content: { - "application/json": components["schemas"]["Body_import_model"]; - }; - }; - responses: { - /** @description The model imported successfully */ - 201: { - content: { - "application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"]; - }; - }; - /** @description The model could not be found */ - 404: never; - /** @description There is already a model corresponding to this path or repo_id */ - 409: never; - /** @description Validation Error */ - 422: { - content: { - "application/json": components["schemas"]["HTTPValidationError"]; - }; - }; - /** @description The model appeared to import successfully, but could not be found in the model manager */ - 424: never; - }; - }; /** * Delete Model * @description Delete Model @@ -5030,12 +5041,6 @@ export type operations = { }; }; responses: { - /** @description Successful Response */ - 200: { - content: { - "application/json": unknown; - }; - }; /** @description Model deleted successfully */ 204: never; /** @description Model not found */ @@ -5065,14 +5070,14 @@ export type operations = { }; requestBody: { content: { - "application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"]; + "application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"]; }; }; responses: { /** @description The model was updated successfully */ 200: { content: { - "application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"]; + "application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"]; }; }; /** @description Bad request */ @@ -5087,12 +5092,118 @@ export type operations = { }; }; }; + /** + * Import Model + * @description Add a model using its local path, repo_id, or remote URL. Model characteristics will be probed and configured automatically + */ + import_model: { + requestBody: { + content: { + "application/json": components["schemas"]["Body_import_model"]; + }; + }; + responses: { + /** @description The model imported successfully */ + 201: { + content: { + "application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"]; + }; + }; + /** @description The model could not be found */ + 404: never; + /** @description There is already a model corresponding to this path or repo_id */ + 409: never; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + /** @description The model appeared to import successfully, but could not be found in the model manager */ + 424: never; + }; + }; + /** + * Add Model + * @description Add a model using the configuration information appropriate for its type. Only local models can be added by path + */ + add_model: { + requestBody: { + content: { + "application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"]; + }; + }; + responses: { + /** @description The model added successfully */ + 201: { + content: { + "application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"]; + }; + }; + /** @description The model could not be found */ + 404: never; + /** @description There is already a model corresponding to this path or repo_id */ + 409: never; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + /** @description The model appeared to add successfully, but could not be found in the model manager */ + 424: never; + }; + }; + /** + * Rename Model + * @description Rename a model + */ + rename_model: { + parameters: { + query?: { + /** @description new model name */ + new_name?: string; + /** @description new model base */ + new_base?: components["schemas"]["BaseModelType"]; + }; + path: { + /** @description Base model */ + base_model: components["schemas"]["BaseModelType"]; + /** @description The type of model */ + model_type: components["schemas"]["ModelType"]; + /** @description current model name */ + model_name: string; + }; + }; + responses: { + /** @description The model was renamed successfully */ + 201: { + content: { + "application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"]; + }; + }; + /** @description The model could not be found */ + 404: never; + /** @description There is already a model corresponding to the new name */ + 409: never; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; /** * Convert Model - * @description Convert a checkpoint model into a diffusers model + * @description Convert a checkpoint model into a diffusers model, optionally saving to the indicated destination directory, or `models` if none. */ convert_model: { parameters: { + query?: { + /** @description Save the converted model to the designated directory */ + convert_dest_directory?: string; + }; path: { /** @description Base model */ base_model: components["schemas"]["BaseModelType"]; @@ -5106,7 +5217,7 @@ export type operations = { /** @description Model converted successfully */ 200: { content: { - "application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"]; + "application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"]; }; }; /** @description Bad request */ @@ -5121,6 +5232,60 @@ export type operations = { }; }; }; + /** Search For Models */ + search_for_models: { + parameters: { + query: { + /** @description Directory path to search for models */ + search_path: string; + }; + }; + responses: { + /** @description Directory searched successfully */ + 200: { + content: { + "application/json": (string)[]; + }; + }; + /** @description Invalid directory path */ + 404: never; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; + /** + * List Ckpt Configs + * @description Return a list of the legacy checkpoint configuration files stored in `ROOT/configs/stable-diffusion`, relative to ROOT. + */ + list_ckpt_configs: { + responses: { + /** @description paths retrieved successfully */ + 200: { + content: { + "application/json": (string)[]; + }; + }; + }; + }; + /** + * Sync To Config + * @description Call after making changes to models.yaml, autoimport directories or models directory to synchronize + * in-memory data structures with disk data structures. + */ + sync_to_config: { + responses: { + /** @description synchronization successful */ + 201: { + content: { + "application/json": unknown; + }; + }; + }; + }; /** * Merge Models * @description Convert a checkpoint model into a diffusers model @@ -5141,7 +5306,7 @@ export type operations = { /** @description Model converted successfully */ 200: { content: { - "application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"]; + "application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"]; }; }; /** @description Incompatible models */ From 79ca0d0d025e2f4118bff5ae3c84dfacb4bfdf08 Mon Sep 17 00:00:00 2001 From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com> Date: Sat, 15 Jul 2023 17:33:44 +1200 Subject: [PATCH 06/72] feat: Allow user to pick where to saved merged model --- .../tabs/ModelManager/subpanels/MergeModelsPanel.tsx | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/MergeModelsPanel.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/MergeModelsPanel.tsx index b2d88802c9..bd03092085 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/MergeModelsPanel.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/MergeModelsPanel.tsx @@ -125,9 +125,9 @@ export default function MergeModelsPanel() { mergedModelName !== '' ? mergedModelName : models_names.join('-'), alpha: modelMergeAlpha, interp: modelMergeInterp, - // model_merge_save_path: - // modelMergeSaveLocType === 'root' ? null : modelMergeCustomSaveLoc, force: modelMergeForce, + merge_dest_directory: + modelMergeSaveLocType === 'root' ? undefined : modelMergeCustomSaveLoc, }; mergeModels({ @@ -288,7 +288,7 @@ export default function MergeModelsPanel() { - {/* setModelMergeCustomSaveLoc(e.target.value)} /> )} - */} + Date: Sat, 15 Jul 2023 18:48:18 +1200 Subject: [PATCH 07/72] feat: Handle toasts for Model Delete --- invokeai/frontend/web/public/locales/en.json | 4 ++- .../ModelManagerPanel/ModelListItem.tsx | 34 +++++++++++++++++-- 2 files changed, 34 insertions(+), 4 deletions(-) diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json index a8f52742d4..ae1778101d 100644 --- a/invokeai/frontend/web/public/locales/en.json +++ b/invokeai/frontend/web/public/locales/en.json @@ -399,6 +399,8 @@ "deleteModel": "Delete Model", "deleteConfig": "Delete Config", "deleteMsg1": "Are you sure you want to delete this model from InvokeAI?", + "modelDeleted": "Model Deleted", + "modelDeleteFailed": "Failed to delete model", "deleteMsg2": "This WILL delete the model from disk if it is in the InvokeAI root folder. If you are using a custom location, then the model WILL NOT be deleted from disk.", "formMessageDiffusersModelLocation": "Diffusers Model Location", "formMessageDiffusersModelLocationDesc": "Please enter at least one.", @@ -408,7 +410,7 @@ "convertToDiffusers": "Convert To Diffusers", "convertToDiffusersHelpText1": "This model will be converted to the 🧨 Diffusers format.", "convertToDiffusersHelpText2": "This process will replace your Model Manager entry with the Diffusers version of the same model.", - "convertToDiffusersHelpText3": "Your checkpoint file on the disk will NOT be deleted or modified in anyway. You can add your checkpoint to the Model Manager again if you want to.", + "convertToDiffusersHelpText3": "Your checkpoint file on disk WILL be deleted if it is in InvokeAI root folder. If it is in a custom location, then it WILL NOT be deleted.", "convertToDiffusersHelpText4": "This is a one time process only. It might take around 30s-60s depending on the specifications of your computer.", "convertToDiffusersHelpText5": "Please make sure you have enough disk space. Models generally vary between 2GB-7GB in size.", "convertToDiffusersHelpText6": "Do you wish to convert this model?", diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelListItem.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelListItem.tsx index aaa2e1bce4..3d2126dce7 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelListItem.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelListItem.tsx @@ -1,10 +1,12 @@ import { DeleteIcon } from '@chakra-ui/icons'; import { Flex, Text, Tooltip } from '@chakra-ui/react'; -import { useAppSelector } from 'app/store/storeHooks'; +import { makeToast } from 'app/components/Toaster'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import IAIAlertDialog from 'common/components/IAIAlertDialog'; import IAIButton from 'common/components/IAIButton'; import IAIIconButton from 'common/components/IAIIconButton'; import { selectIsBusy } from 'features/system/store/systemSelectors'; +import { addToast } from 'features/system/store/systemSlice'; import { useCallback } from 'react'; import { useTranslation } from 'react-i18next'; import { @@ -21,6 +23,7 @@ type ModelListItemProps = { export default function ModelListItem(props: ModelListItemProps) { const isBusy = useAppSelector(selectIsBusy); const { t } = useTranslation(); + const dispatch = useAppDispatch(); const [deleteMainModel] = useDeleteMainModelsMutation(); const { model, isSelected, setSelectedModelId } = props; @@ -30,9 +33,34 @@ export default function ModelListItem(props: ModelListItemProps) { }, [model.id, setSelectedModelId]); const handleModelDelete = useCallback(() => { - deleteMainModel(model); + deleteMainModel(model) + .unwrap() + .then((_) => { + dispatch( + addToast( + makeToast({ + title: `${t('modelManager.modelDeleted')}: ${model.model_name}`, + status: 'success', + }) + ) + ); + }) + .catch((error) => { + if (error) { + dispatch( + addToast( + makeToast({ + title: `${t('modelManager.modelDeleteFailed')}: ${ + model.model_name + }`, + status: 'success', + }) + ) + ); + } + }); setSelectedModelId(undefined); - }, [deleteMainModel, model, setSelectedModelId]); + }, [deleteMainModel, model, setSelectedModelId, dispatch, t]); return ( From 9769b4866115ea3a498cf2b0cc7d3a762b825732 Mon Sep 17 00:00:00 2001 From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com> Date: Sat, 15 Jul 2023 19:17:16 +1200 Subject: [PATCH 08/72] feat: Add Custom location support for model conversion --- invokeai/app/api/routers/models.py | 241 +++++++++--------- invokeai/frontend/web/public/locales/en.json | 2 + .../ModelManagerPanel/ModelConvert.tsx | 79 ++++-- .../web/src/services/api/endpoints/models.ts | 5 +- .../frontend/web/src/services/api/schema.d.ts | 17 +- .../frontend/web/src/services/api/types.d.ts | 2 + 6 files changed, 204 insertions(+), 142 deletions(-) diff --git a/invokeai/app/api/routers/models.py b/invokeai/app/api/routers/models.py index c298114cbc..12b7f991f4 100644 --- a/invokeai/app/api/routers/models.py +++ b/invokeai/app/api/routers/models.py @@ -2,7 +2,7 @@ import pathlib -from typing import Literal, List, Optional, Union +from typing import List, Literal, Optional, Union from fastapi import Body, Path, Query, Response from fastapi.routing import APIRouter @@ -10,11 +10,10 @@ from pydantic import BaseModel, parse_obj_as from starlette.exceptions import HTTPException from invokeai.backend import BaseModelType, ModelType -from invokeai.backend.model_management.models import ( - OPENAPI_MODEL_CONFIGS, - SchedulerPredictionType, -) from invokeai.backend.model_management import MergeInterpolationMethod +from invokeai.backend.model_management.models import (OPENAPI_MODEL_CONFIGS, + SchedulerPredictionType) + from ..dependencies import ApiDependencies models_router = APIRouter(prefix="/v1/models", tags=["models"]) @@ -25,32 +24,37 @@ ConvertModelResponse = Union[tuple(OPENAPI_MODEL_CONFIGS)] MergeModelResponse = Union[tuple(OPENAPI_MODEL_CONFIGS)] ImportModelAttributes = Union[tuple(OPENAPI_MODEL_CONFIGS)] + class ModelsList(BaseModel): models: list[Union[tuple(OPENAPI_MODEL_CONFIGS)]] + @models_router.get( "/", operation_id="list_models", - responses={200: {"model": ModelsList }}, + responses={200: {"model": ModelsList}}, ) async def list_models( base_model: Optional[BaseModelType] = Query(default=None, description="Base model"), model_type: Optional[ModelType] = Query(default=None, description="The type of model to get"), ) -> ModelsList: """Gets a list of models""" - models_raw = ApiDependencies.invoker.services.model_manager.list_models(base_model, model_type) - models = parse_obj_as(ModelsList, { "models": models_raw }) + models_raw = ApiDependencies.invoker.services.model_manager.list_models( + base_model, + model_type) + models = parse_obj_as(ModelsList, {"models": models_raw}) return models + @models_router.patch( "/{base_model}/{model_type}/{model_name}", operation_id="update_model", - responses={200: {"description" : "The model was updated successfully"}, - 404: {"description" : "The model could not be found"}, - 400: {"description" : "Bad request"} + responses={200: {"description": "The model was updated successfully"}, + 404: {"description": "The model could not be found"}, + 400: {"description": "Bad request"} }, - status_code = 200, - response_model = UpdateModelResponse, + status_code=200, + response_model=UpdateModelResponse, ) async def update_model( base_model: BaseModelType = Path(description="Base model"), @@ -79,40 +83,41 @@ async def update_model( return model_response + @models_router.post( "/import", operation_id="import_model", - responses= { - 201: {"description" : "The model imported successfully"}, - 404: {"description" : "The model could not be found"}, - 424: {"description" : "The model appeared to import successfully, but could not be found in the model manager"}, - 409: {"description" : "There is already a model corresponding to this path or repo_id"}, + responses={ + 201: {"description": "The model imported successfully"}, + 404: {"description": "The model could not be found"}, + 424: {"description": "The model appeared to import successfully, but could not be found in the model manager"}, + 409: {"description": "There is already a model corresponding to this path or repo_id"}, }, status_code=201, response_model=ImportModelResponse ) async def import_model( location: str = Body(description="A model path, repo_id or URL to import"), - prediction_type: Optional[Literal['v_prediction','epsilon','sample']] = \ - Body(description='Prediction type for SDv2 checkpoint files', default="v_prediction"), + prediction_type: Optional[Literal['v_prediction', 'epsilon', 'sample']] = + Body(description='Prediction type for SDv2 checkpoint files', default="v_prediction"), ) -> ImportModelResponse: """ Add a model using its local path, repo_id, or remote URL. Model characteristics will be probed and configured automatically """ - + items_to_import = {location} - prediction_types = { x.value: x for x in SchedulerPredictionType } + prediction_types = {x.value: x for x in SchedulerPredictionType} logger = ApiDependencies.invoker.services.logger try: installed_models = ApiDependencies.invoker.services.model_manager.heuristic_import( - items_to_import = items_to_import, - prediction_type_helper = lambda x: prediction_types.get(prediction_type) + items_to_import=items_to_import, + prediction_type_helper=lambda x: prediction_types.get(prediction_type) ) info = installed_models.get(location) if not info: logger.error("Import failed") raise HTTPException(status_code=424) - + logger.info(f'Successfully imported {location}, got {info}') model_raw = ApiDependencies.invoker.services.model_manager.list_model( model_name=info.name, @@ -120,22 +125,23 @@ async def import_model( model_type=info.model_type ) return parse_obj_as(ImportModelResponse, model_raw) - + except KeyError as e: logger.error(str(e)) raise HTTPException(status_code=404, detail=str(e)) except ValueError as e: logger.error(str(e)) raise HTTPException(status_code=409, detail=str(e)) - + + @models_router.post( "/add", operation_id="add_model", - responses= { - 201: {"description" : "The model added successfully"}, - 404: {"description" : "The model could not be found"}, - 424: {"description" : "The model appeared to add successfully, but could not be found in the model manager"}, - 409: {"description" : "There is already a model corresponding to this path or repo_id"}, + responses={ + 201: {"description": "The model added successfully"}, + 404: {"description": "The model could not be found"}, + 424: {"description": "The model appeared to add successfully, but could not be found in the model manager"}, + 409: {"description": "There is already a model corresponding to this path or repo_id"}, }, status_code=201, response_model=ImportModelResponse @@ -144,7 +150,7 @@ async def add_model( info: Union[tuple(OPENAPI_MODEL_CONFIGS)] = Body(description="Model configuration"), ) -> ImportModelResponse: """ Add a model using the configuration information appropriate for its type. Only local models can be added by path""" - + logger = ApiDependencies.invoker.services.logger try: @@ -152,7 +158,7 @@ async def add_model( info.model_name, info.base_model, info.model_type, - model_attributes = info.dict() + model_attributes=info.dict() ) logger.info(f'Successfully added {info.model_name}') model_raw = ApiDependencies.invoker.services.model_manager.list_model( @@ -168,13 +174,14 @@ async def add_model( logger.error(str(e)) raise HTTPException(status_code=409, detail=str(e)) + @models_router.post( "/rename/{base_model}/{model_type}/{model_name}", operation_id="rename_model", - responses= { - 201: {"description" : "The model was renamed successfully"}, - 404: {"description" : "The model could not be found"}, - 409: {"description" : "There is already a model corresponding to the new name"}, + responses={ + 201: {"description": "The model was renamed successfully"}, + 404: {"description": "The model could not be found"}, + 409: {"description": "There is already a model corresponding to the new name"}, }, status_code=201, response_model=ImportModelResponse @@ -187,16 +194,16 @@ async def rename_model( new_base: Optional[BaseModelType] = Query(description="new model base", default=None), ) -> ImportModelResponse: """ Rename a model""" - + logger = ApiDependencies.invoker.services.logger try: result = ApiDependencies.invoker.services.model_manager.rename_model( - base_model = base_model, - model_type = model_type, - model_name = model_name, - new_name = new_name, - new_base = new_base, + base_model=base_model, + model_type=model_type, + model_name=model_name, + new_name=new_name, + new_base=new_base, ) logger.debug(result) logger.info(f'Successfully renamed {model_name}=>{new_name}') @@ -212,16 +219,17 @@ async def rename_model( except ValueError as e: logger.error(str(e)) raise HTTPException(status_code=409, detail=str(e)) - + + @models_router.delete( "/{base_model}/{model_type}/{model_name}", operation_id="del_model", responses={ - 204: { "description": "Model deleted successfully" }, - 404: { "description": "Model not found" } + 204: {"description": "Model deleted successfully"}, + 404: {"description": "Model not found"} }, - status_code = 204, - response_model = None, + status_code=204, + response_model=None, ) async def delete_model( base_model: BaseModelType = Path(description="Base model"), @@ -230,142 +238,145 @@ async def delete_model( ) -> Response: """Delete Model""" logger = ApiDependencies.invoker.services.logger - + try: - ApiDependencies.invoker.services.model_manager.del_model(model_name, - base_model = base_model, - model_type = model_type - ) + ApiDependencies.invoker.services.model_manager.del_model( + model_name, base_model=base_model, model_type=model_type) logger.info(f"Deleted model: {model_name}") return Response(status_code=204) except KeyError: logger.error(f"Model not found: {model_name}") - raise HTTPException(status_code=404, detail=f"Model '{model_name}' not found") + raise HTTPException( + status_code=404, detail=f"Model '{model_name}' not found") + @models_router.put( "/convert/{base_model}/{model_type}/{model_name}", operation_id="convert_model", responses={ - 200: { "description": "Model converted successfully" }, - 400: {"description" : "Bad request" }, - 404: { "description": "Model not found" }, + 200: {"description": "Model converted successfully"}, + 400: {"description": "Bad request"}, + 404: {"description": "Model not found"}, }, - status_code = 200, - response_model = ConvertModelResponse, + status_code=200, + response_model=ConvertModelResponse, ) async def convert_model( base_model: BaseModelType = Path(description="Base model"), model_type: ModelType = Path(description="The type of model"), model_name: str = Path(description="model name"), - convert_dest_directory: Optional[str] = Query(default=None, description="Save the converted model to the designated directory"), + convert_dest_directory: Optional[str] = Body(description="Save the converted model to the designated directory", default=None, embed=True) ) -> ConvertModelResponse: """Convert a checkpoint model into a diffusers model, optionally saving to the indicated destination directory, or `models` if none.""" logger = ApiDependencies.invoker.services.logger try: logger.info(f"Converting model: {model_name}") - dest = pathlib.Path(convert_dest_directory) if convert_dest_directory else None - ApiDependencies.invoker.services.model_manager.convert_model(model_name, - base_model = base_model, - model_type = model_type, - convert_dest_directory = dest, - ) - model_raw = ApiDependencies.invoker.services.model_manager.list_model(model_name, - base_model = base_model, - model_type = model_type) + dest = pathlib.Path( + convert_dest_directory) if convert_dest_directory else None + ApiDependencies.invoker.services.model_manager.convert_model( + model_name, base_model=base_model, model_type=model_type, + convert_dest_directory=dest,) + model_raw = ApiDependencies.invoker.services.model_manager.list_model( + model_name, base_model=base_model, model_type=model_type) response = parse_obj_as(ConvertModelResponse, model_raw) except KeyError: - raise HTTPException(status_code=404, detail=f"Model '{model_name}' not found") + raise HTTPException( + status_code=404, detail=f"Model '{model_name}' not found") except ValueError as e: raise HTTPException(status_code=400, detail=str(e)) return response + @models_router.get( "/search", operation_id="search_for_models", responses={ - 200: { "description": "Directory searched successfully" }, - 404: { "description": "Invalid directory path" }, + 200: {"description": "Directory searched successfully"}, + 404: {"description": "Invalid directory path"}, }, - status_code = 200, - response_model = List[pathlib.Path] + status_code=200, + response_model=List[pathlib.Path] ) async def search_for_models( search_path: pathlib.Path = Query(description="Directory path to search for models") -)->List[pathlib.Path]: +) -> List[pathlib.Path]: if not search_path.is_dir(): - raise HTTPException(status_code=404, detail=f"The search path '{search_path}' does not exist or is not directory") - return ApiDependencies.invoker.services.model_manager.search_for_models([search_path]) + raise HTTPException( + status_code=404, + detail=f"The search path '{search_path}' does not exist or is not directory") + return ApiDependencies.invoker.services.model_manager.search_for_models([ + search_path]) + @models_router.get( "/ckpt_confs", operation_id="list_ckpt_configs", responses={ - 200: { "description" : "paths retrieved successfully" }, + 200: {"description": "paths retrieved successfully"}, }, - status_code = 200, - response_model = List[pathlib.Path] + status_code=200, + response_model=List[pathlib.Path] ) async def list_ckpt_configs( -)->List[pathlib.Path]: +) -> List[pathlib.Path]: """Return a list of the legacy checkpoint configuration files stored in `ROOT/configs/stable-diffusion`, relative to ROOT.""" return ApiDependencies.invoker.services.model_manager.list_checkpoint_configs() - - + + @models_router.get( "/sync", operation_id="sync_to_config", responses={ - 201: { "description": "synchronization successful" }, + 201: {"description": "synchronization successful"}, }, - status_code = 201, - response_model = None + status_code=201, + response_model=None ) async def sync_to_config( -)->None: +) -> None: """Call after making changes to models.yaml, autoimport directories or models directory to synchronize in-memory data structures with disk data structures.""" return ApiDependencies.invoker.services.model_manager.sync_to_config() - + + @models_router.put( "/merge/{base_model}", operation_id="merge_models", responses={ - 200: { "description": "Model converted successfully" }, - 400: { "description": "Incompatible models" }, - 404: { "description": "One or more models not found" }, + 200: {"description": "Model converted successfully"}, + 400: {"description": "Incompatible models"}, + 404: {"description": "One or more models not found"}, }, - status_code = 200, - response_model = MergeModelResponse, + status_code=200, + response_model=MergeModelResponse, ) async def merge_models( - base_model: BaseModelType = Path(description="Base model"), - model_names: List[str] = Body(description="model name", min_items=2, max_items=3), - merged_model_name: Optional[str] = Body(description="Name of destination model"), - alpha: Optional[float] = Body(description="Alpha weighting strength to apply to 2d and 3d models", default=0.5), + base_model: BaseModelType = Path(description="Base model"), + model_names: List[str] = Body(description="model name", min_items=2, max_items=3), + merged_model_name: Optional[str] = Body(description="Name of destination model"), + alpha: Optional[float] = Body(description="Alpha weighting strength to apply to 2d and 3d models", default=0.5), interp: Optional[MergeInterpolationMethod] = Body(description="Interpolation method"), - force: Optional[bool] = Body(description="Force merging of models created with different versions of diffusers", default=False), - merge_dest_directory: Optional[str] = Body(description="Save the merged model to the designated directory (with 'merged_model_name' appended)", default=None) + force: Optional[bool] = Body(description="Force merging of models created with different versions of diffusers", default=False), + merge_dest_directory: Optional[str] = Body(description="Save the merged model to the designated directory (with 'merged_model_name' appended)", default=None) ) -> MergeModelResponse: """Convert a checkpoint model into a diffusers model""" logger = ApiDependencies.invoker.services.logger try: - logger.info(f"Merging models: {model_names} into {merge_dest_directory or ''}/{merged_model_name}") - dest = pathlib.Path(merge_dest_directory) if merge_dest_directory else None - result = ApiDependencies.invoker.services.model_manager.merge_models(model_names, - base_model, - merged_model_name=merged_model_name or "+".join(model_names), - alpha=alpha, - interp=interp, - force=force, - merge_dest_directory = dest - ) - model_raw = ApiDependencies.invoker.services.model_manager.list_model(result.name, - base_model = base_model, - model_type = ModelType.Main, - ) + logger.info( + f"Merging models: {model_names} into {merge_dest_directory or ''}/{merged_model_name}") + dest = pathlib.Path( + merge_dest_directory) if merge_dest_directory else None + result = ApiDependencies.invoker.services.model_manager.merge_models( + model_names, base_model, + merged_model_name=merged_model_name or "+".join(model_names), + alpha=alpha, interp=interp, force=force, merge_dest_directory=dest) + model_raw = ApiDependencies.invoker.services.model_manager.list_model( + result.name, base_model=base_model, model_type=ModelType.Main, ) response = parse_obj_as(ConvertModelResponse, model_raw) except KeyError: - raise HTTPException(status_code=404, detail=f"One or more of the models '{model_names}' not found") + raise HTTPException( + status_code=404, + detail=f"One or more of the models '{model_names}' not found") except ValueError as e: raise HTTPException(status_code=400, detail=str(e)) return response diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json index ae1778101d..36cf1d7af6 100644 --- a/invokeai/frontend/web/public/locales/en.json +++ b/invokeai/frontend/web/public/locales/en.json @@ -415,6 +415,8 @@ "convertToDiffusersHelpText5": "Please make sure you have enough disk space. Models generally vary between 2GB-7GB in size.", "convertToDiffusersHelpText6": "Do you wish to convert this model?", "convertToDiffusersSaveLocation": "Save Location", + "noCustomLocationProvided": "No Custom Location Provided", + "convertingModelBegin": "Converting Model. Please wait.", "v1": "v1", "v2_base": "v2 (512px)", "v2_768": "v2 (768px)", diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelConvert.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelConvert.tsx index 922fdacee7..9c7130f2ad 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelConvert.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelConvert.tsx @@ -1,9 +1,18 @@ -import { Flex, ListItem, Text, UnorderedList } from '@chakra-ui/react'; -// import { convertToDiffusers } from 'app/socketio/actions'; +import { + Flex, + ListItem, + Radio, + RadioGroup, + Text, + Tooltip, + UnorderedList, +} from '@chakra-ui/react'; import { makeToast } from 'app/components/Toaster'; +// import { convertToDiffusers } from 'app/socketio/actions'; import { useAppDispatch } from 'app/store/storeHooks'; import IAIAlertDialog from 'common/components/IAIAlertDialog'; import IAIButton from 'common/components/IAIButton'; +import IAIInput from 'common/components/IAIInput'; import { addToast } from 'features/system/store/systemSlice'; import { useEffect, useState } from 'react'; import { useTranslation } from 'react-i18next'; @@ -15,6 +24,8 @@ interface ModelConvertProps { model: CheckpointModelConfig; } +type SaveLocation = 'InvokeAIRoot' | 'Custom'; + export default function ModelConvert(props: ModelConvertProps) { const { model } = props; @@ -23,22 +34,51 @@ export default function ModelConvert(props: ModelConvertProps) { const [convertModel, { isLoading }] = useConvertMainModelsMutation(); - const [saveLocation, setSaveLocation] = useState('same'); + const [saveLocation, setSaveLocation] = + useState('InvokeAIRoot'); const [customSaveLocation, setCustomSaveLocation] = useState(''); useEffect(() => { - setSaveLocation('same'); + setSaveLocation('InvokeAIRoot'); }, [model]); const modelConvertCancelHandler = () => { - setSaveLocation('same'); + setSaveLocation('InvokeAIRoot'); }; const modelConvertHandler = () => { const responseBody = { base_model: model.base_model, model_name: model.model_name, + body: { + convert_dest_directory: + saveLocation === 'Custom' ? customSaveLocation : undefined, + }, }; + + if (saveLocation === 'Custom' && customSaveLocation === '') { + dispatch( + addToast( + makeToast({ + title: t('modelManager.noCustomLocationProvided'), + status: 'error', + }) + ) + ); + return; + } + + dispatch( + addToast( + makeToast({ + title: `${t('modelManager.convertingModelBegin')}: ${ + model.model_name + }`, + status: 'success', + }) + ) + ); + convertModel(responseBody) .unwrap() .then((_) => { @@ -94,35 +134,30 @@ export default function ModelConvert(props: ModelConvertProps) { {t('modelManager.convertToDiffusersHelpText6')} - {/* + {t('modelManager.convertToDiffusersSaveLocation')} - setSaveLocation(v)}> + setSaveLocation(v as SaveLocation)} + > - - - {t('modelManager.sameFolder')} - - - - + {t('modelManager.invokeRoot')} - - + {t('modelManager.custom')} - */} - - {/* {saveLocation === 'custom' && ( + + {saveLocation === 'Custom' && ( {t('modelManager.customSaveLocation')} @@ -130,13 +165,13 @@ export default function ModelConvert(props: ModelConvertProps) { { - if (e.target.value !== '') - setCustomSaveLocation(e.target.value); + setCustomSaveLocation(e.target.value); }} width="full" /> - )} */} + )} + ); } diff --git a/invokeai/frontend/web/src/services/api/endpoints/models.ts b/invokeai/frontend/web/src/services/api/endpoints/models.ts index c86ad91100..79e685313e 100644 --- a/invokeai/frontend/web/src/services/api/endpoints/models.ts +++ b/invokeai/frontend/web/src/services/api/endpoints/models.ts @@ -5,6 +5,7 @@ import { BaseModelType, CheckpointModelConfig, ControlNetModelConfig, + ConvertModelConfig, DiffusersModelConfig, LoRAModelConfig, MainModelConfig, @@ -62,6 +63,7 @@ type DeleteMainModelResponse = void; type ConvertMainModelArg = { base_model: BaseModelType; model_name: string; + body: ConvertModelConfig; }; type ConvertMainModelResponse = @@ -176,10 +178,11 @@ export const modelsApi = api.injectEndpoints({ ConvertMainModelResponse, ConvertMainModelArg >({ - query: ({ base_model, model_name }) => { + query: ({ base_model, model_name, body }) => { return { url: `models/convert/${base_model}/main/${model_name}`, method: 'PUT', + body: body, }; }, invalidatesTags: [{ type: 'MainModel', id: LIST_TAG }], diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts index 2ae5109f4f..610e9fa05e 100644 --- a/invokeai/frontend/web/src/services/api/schema.d.ts +++ b/invokeai/frontend/web/src/services/api/schema.d.ts @@ -378,6 +378,14 @@ export type components = { */ image_count: number; }; + /** Body_convert_model */ + Body_convert_model: { + /** + * Convert Dest Directory + * @description Save the converted model to the designated directory + */ + convert_dest_directory?: string; + }; /** Body_create_board_image */ Body_create_board_image: { /** @@ -5200,10 +5208,6 @@ export type operations = { */ convert_model: { parameters: { - query?: { - /** @description Save the converted model to the designated directory */ - convert_dest_directory?: string; - }; path: { /** @description Base model */ base_model: components["schemas"]["BaseModelType"]; @@ -5213,6 +5217,11 @@ export type operations = { model_name: string; }; }; + requestBody?: { + content: { + "application/json": components["schemas"]["Body_convert_model"]; + }; + }; responses: { /** @description Model converted successfully */ 200: { diff --git a/invokeai/frontend/web/src/services/api/types.d.ts b/invokeai/frontend/web/src/services/api/types.d.ts index fcbbd1a6a0..57258fb19b 100644 --- a/invokeai/frontend/web/src/services/api/types.d.ts +++ b/invokeai/frontend/web/src/services/api/types.d.ts @@ -55,7 +55,9 @@ export type AnyModelConfig = | ControlNetModelConfig | TextualInversionModelConfig | MainModelConfig; + export type MergeModelConfig = components['schemas']['Body_merge_models']; +export type ConvertModelConfig = components['schemas']['Body_convert_model']; // Graphs export type Graph = components['schemas']['Graph']; From 558c26d78ffc48c57a05e76138c476088ef6bac1 Mon Sep 17 00:00:00 2001 From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com> Date: Sat, 15 Jul 2023 22:22:22 +1200 Subject: [PATCH 09/72] feat: Create Model Manager Store --- invokeai/frontend/web/src/app/store/store.ts | 3 +++ .../src/features/system/store/systemSlice.ts | 22 +++--------------- .../ModelManager/store/modelManagerSlice.ts | 23 +++++++++++++++++++ .../store/modelmanagerSelectors.tsx | 3 +++ 4 files changed, 32 insertions(+), 19 deletions(-) create mode 100644 invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/store/modelManagerSlice.ts create mode 100644 invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/store/modelmanagerSelectors.tsx diff --git a/invokeai/frontend/web/src/app/store/store.ts b/invokeai/frontend/web/src/app/store/store.ts index 2bafd21a74..4725a2f921 100644 --- a/invokeai/frontend/web/src/app/store/store.ts +++ b/invokeai/frontend/web/src/app/store/store.ts @@ -21,6 +21,7 @@ import generationReducer from 'features/parameters/store/generationSlice'; import postprocessingReducer from 'features/parameters/store/postprocessingSlice'; import configReducer from 'features/system/store/configSlice'; import systemReducer from 'features/system/store/systemSlice'; +import modelmanagerReducer from 'features/ui/components/tabs/ModelManager/store/modelManagerSlice'; import hotkeysReducer from 'features/ui/store/hotkeysSlice'; import uiReducer from 'features/ui/store/uiSlice'; @@ -49,6 +50,7 @@ const allReducers = { dynamicPrompts: dynamicPromptsReducer, imageDeletion: imageDeletionReducer, lora: loraReducer, + modelmanager: modelmanagerReducer, [api.reducerPath]: api.reducer, }; @@ -67,6 +69,7 @@ const rememberedKeys: (keyof typeof allReducers)[] = [ 'controlNet', 'dynamicPrompts', 'lora', + 'modelmanager', ]; export const store = configureStore({ diff --git a/invokeai/frontend/web/src/features/system/store/systemSlice.ts b/invokeai/frontend/web/src/features/system/store/systemSlice.ts index 4d723378ba..875ae7a693 100644 --- a/invokeai/frontend/web/src/features/system/store/systemSlice.ts +++ b/invokeai/frontend/web/src/features/system/store/systemSlice.ts @@ -1,11 +1,10 @@ import { UseToastOptions } from '@chakra-ui/react'; import { PayloadAction, createSlice } from '@reduxjs/toolkit'; -import * as InvokeAI from 'app/types/invokeai'; import { InvokeLogLevel } from 'app/logging/useLogger'; import { userInvoked } from 'app/store/actions'; import { nodeTemplatesBuilt } from 'features/nodes/store/nodesSlice'; -import { TFuncKey, t } from 'i18next'; +import { t } from 'i18next'; import { LogLevelName } from 'roarr'; import { imageUploaded } from 'services/api/thunks/image'; import { @@ -44,8 +43,6 @@ export interface SystemState { isCancelable: boolean; enableImageDebugging: boolean; toastQueue: UseToastOptions[]; - searchFolder: string | null; - foundModels: InvokeAI.FoundModel[] | null; /** * The current progress image */ @@ -79,7 +76,7 @@ export interface SystemState { */ consoleLogLevel: InvokeLogLevel; shouldLogToConsole: boolean; - statusTranslationKey: TFuncKey; + statusTranslationKey: any; /** * When a session is canceled, its ID is stored here until a new session is created. */ @@ -106,8 +103,6 @@ export const initialSystemState: SystemState = { isCancelable: true, enableImageDebugging: false, toastQueue: [], - searchFolder: null, - foundModels: null, progressImage: null, shouldAntialiasProgressImage: false, sessionId: null, @@ -132,7 +127,7 @@ export const systemSlice = createSlice({ setIsProcessing: (state, action: PayloadAction) => { state.isProcessing = action.payload; }, - setCurrentStatus: (state, action: PayloadAction) => { + setCurrentStatus: (state, action: any) => { state.statusTranslationKey = action.payload; }, setShouldConfirmOnDelete: (state, action: PayloadAction) => { @@ -153,15 +148,6 @@ export const systemSlice = createSlice({ clearToastQueue: (state) => { state.toastQueue = []; }, - setSearchFolder: (state, action: PayloadAction) => { - state.searchFolder = action.payload; - }, - setFoundModels: ( - state, - action: PayloadAction - ) => { - state.foundModels = action.payload; - }, /** * A cancel was scheduled */ @@ -426,8 +412,6 @@ export const { setEnableImageDebugging, addToast, clearToastQueue, - setSearchFolder, - setFoundModels, cancelScheduled, scheduledCancelAborted, cancelTypeChanged, diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/store/modelManagerSlice.ts b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/store/modelManagerSlice.ts new file mode 100644 index 0000000000..c71407824e --- /dev/null +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/store/modelManagerSlice.ts @@ -0,0 +1,23 @@ +import { PayloadAction, createSlice } from '@reduxjs/toolkit'; + +type ModelManagerState = { + searchFolder: string | null; +}; + +const initialModelManagerState: ModelManagerState = { + searchFolder: null, +}; + +export const modelManagerSlice = createSlice({ + name: 'modelmanager', + initialState: initialModelManagerState, + reducers: { + setSearchFolder: (state, action: PayloadAction) => { + state.searchFolder = action.payload; + }, + }, +}); + +export const { setSearchFolder } = modelManagerSlice.actions; + +export default modelManagerSlice.reducer; diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/store/modelmanagerSelectors.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/store/modelmanagerSelectors.tsx new file mode 100644 index 0000000000..593282760a --- /dev/null +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/store/modelmanagerSelectors.tsx @@ -0,0 +1,3 @@ +import { RootState } from 'app/store/store'; + +export const modelmanagerSelector = (state: RootState) => state.modelmanager; From 4a2f34f77fda055361827efdde3aeae7a0fb24c4 Mon Sep 17 00:00:00 2001 From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com> Date: Sat, 15 Jul 2023 22:23:00 +1200 Subject: [PATCH 10/72] wip: Model Search Going to rework the whole thing. The old system is convoluted and too difficult to plug back. --- .../AddModelsPanel/FoundModelsList.tsx | 34 ++ .../AddModelsPanel/SearchFolderForm.tsx | 114 +++++ .../subpanels/AddModelsPanel/SearchModels.tsx | 429 +---------------- .../AddModelsPanel/SearchModelsOld.tsx | 430 ++++++++++++++++++ .../web/src/services/api/endpoints/models.ts | 17 +- .../frontend/web/src/services/api/schema.d.ts | 12 +- .../frontend/web/src/services/api/types.d.ts | 1 + 7 files changed, 609 insertions(+), 428 deletions(-) create mode 100644 invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/FoundModelsList.tsx create mode 100644 invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SearchFolderForm.tsx create mode 100644 invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SearchModelsOld.tsx diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/FoundModelsList.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/FoundModelsList.tsx new file mode 100644 index 0000000000..af862d005d --- /dev/null +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/FoundModelsList.tsx @@ -0,0 +1,34 @@ +import { Flex } from '@chakra-ui/react'; +import { RootState } from 'app/store/store'; +import { useAppSelector } from 'app/store/storeHooks'; +import { useGetModelsInFolderQuery } from 'services/api/endpoints/models'; + +export default function FoundModelsList() { + const searchFolder = useAppSelector( + (state: RootState) => state.modelmanager.searchFolder + ); + + const { data: foundModels } = useGetModelsInFolderQuery({ + search_path: searchFolder ? searchFolder : '', + }); + + console.log(foundModels); + + const renderFoundModels = () => { + if (!searchFolder) return; + + if (!foundModels || foundModels.length === 0) { + return No Models Found; + } + + return ( + + {foundModels.map((model) => ( + {model} + ))} + + ); + }; + + return renderFoundModels(); +} diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SearchFolderForm.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SearchFolderForm.tsx new file mode 100644 index 0000000000..10d0f51665 --- /dev/null +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SearchFolderForm.tsx @@ -0,0 +1,114 @@ +import { Flex, Text } from '@chakra-ui/react'; +import { useForm } from '@mantine/form'; +import { RootState } from 'app/store/store'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import IAIIconButton from 'common/components/IAIIconButton'; +import IAIInput from 'common/components/IAIInput'; +import { memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; +import { FaSearch, FaTrash } from 'react-icons/fa'; +import { setSearchFolder } from '../../store/modelManagerSlice'; + +type SearchFolderForm = { + folder: string; +}; + +function SearchFolderForm() { + const dispatch = useAppDispatch(); + const { t } = useTranslation(); + + const searchFolder = useAppSelector( + (state: RootState) => state.modelmanager.searchFolder + ); + + const searchFolderForm = useForm({ + initialValues: { + folder: '', + }, + }); + + const searchFolderFormSubmitHandler = useCallback( + (values: SearchFolderForm) => { + dispatch(setSearchFolder(values.folder)); + }, + [dispatch] + ); + + return ( +
+ searchFolderFormSubmitHandler(values) + )} + style={{ width: '100%' }} + > + + + + Search Folder + + {!searchFolder ? ( + + ) : ( + + {searchFolder} + + )} + + + + } + fontSize={18} + size="sm" + type="submit" + /> + } + size="sm" + onClick={() => dispatch(setSearchFolder(null))} + isDisabled={!searchFolder} + colorScheme="red" + /> + + +
+ ); +} + +export default memo(SearchFolderForm); diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SearchModels.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SearchModels.tsx index 3381cb85d3..e3e48c7e6b 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SearchModels.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SearchModels.tsx @@ -1,430 +1,17 @@ -import IAIButton from 'common/components/IAIButton'; -import IAISimpleCheckbox from 'common/components/IAISimpleCheckbox'; -import IAIIconButton from 'common/components/IAIIconButton'; -import React from 'react'; - -import { - Badge, - Flex, - FormControl, - HStack, - Radio, - RadioGroup, - Spacer, - Text, -} from '@chakra-ui/react'; -import { createSelector } from '@reduxjs/toolkit'; -import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; -import { systemSelector } from 'features/system/store/systemSelectors'; +import { Flex } from '@chakra-ui/react'; +import { useAppDispatch } from 'app/store/storeHooks'; import { useTranslation } from 'react-i18next'; - -import { FaSearch, FaTrash } from 'react-icons/fa'; - -// import { addNewModel, searchForModels } from 'app/socketio/actions'; -import { - setFoundModels, - setSearchFolder, -} from 'features/system/store/systemSlice'; -import { setShouldShowExistingModelsInSearch } from 'features/ui/store/uiSlice'; - -import type { FoundModel } from 'app/types/invokeai'; -import type { RootState } from 'app/store/store'; -import IAIInput from 'common/components/IAIInput'; -import { Field, Formik } from 'formik'; -import { forEach, remove } from 'lodash-es'; -import type { ChangeEvent, ReactNode } from 'react'; -import IAIForm from 'common/components/IAIForm'; - -const existingModelsSelector = createSelector([systemSelector], (system) => { - const { model_list } = system; - - const existingModels: string[] = []; - - forEach(model_list, (value) => { - existingModels.push(value.weights); - }); - - return existingModels; -}); - -interface SearchModelEntry { - model: FoundModel; - modelsToAdd: string[]; - setModelsToAdd: React.Dispatch>; -} - -function SearchModelEntry({ - model, - modelsToAdd, - setModelsToAdd, -}: SearchModelEntry) { - const { t } = useTranslation(); - const existingModels = useAppSelector(existingModelsSelector); - - const foundModelsChangeHandler = (e: ChangeEvent) => { - if (!modelsToAdd.includes(e.target.value)) { - setModelsToAdd([...modelsToAdd, e.target.value]); - } else { - setModelsToAdd(remove(modelsToAdd, (v) => v !== e.target.value)); - } - }; - - return ( - - - {model.name}} - isChecked={modelsToAdd.includes(model.name)} - isDisabled={existingModels.includes(model.location)} - onChange={foundModelsChangeHandler} - > - {existingModels.includes(model.location) && ( - {t('modelManager.modelExists')} - )} - - - {model.location} - - - ); -} +import FoundModelsList from './FoundModelsList'; +import SearchFolderForm from './SearchFolderForm'; export default function SearchModels() { const dispatch = useAppDispatch(); - const { t } = useTranslation(); - const searchFolder = useAppSelector( - (state: RootState) => state.system.searchFolder - ); - - const foundModels = useAppSelector( - (state: RootState) => state.system.foundModels - ); - - const existingModels = useAppSelector(existingModelsSelector); - - const shouldShowExistingModelsInSearch = useAppSelector( - (state: RootState) => state.ui.shouldShowExistingModelsInSearch - ); - - const isProcessing = useAppSelector( - (state: RootState) => state.system.isProcessing - ); - - const [modelsToAdd, setModelsToAdd] = React.useState([]); - const [modelType, setModelType] = React.useState('v1'); - const [pathToConfig, setPathToConfig] = React.useState(''); - - const resetSearchModelHandler = () => { - dispatch(setSearchFolder(null)); - dispatch(setFoundModels(null)); - setModelsToAdd([]); - }; - - const findModelsHandler = (values: { checkpointFolder: string }) => { - dispatch(searchForModels(values.checkpointFolder)); - }; - - const addAllToSelected = () => { - setModelsToAdd([]); - if (foundModels) { - foundModels.forEach((model) => { - if (!existingModels.includes(model.location)) { - setModelsToAdd((currentModels) => { - return [...currentModels, model.name]; - }); - } - }); - } - }; - - const removeAllFromSelected = () => { - setModelsToAdd([]); - }; - - const addSelectedModels = () => { - const modelsToBeAdded = foundModels?.filter((foundModel) => - modelsToAdd.includes(foundModel.name) - ); - - const configFiles = { - v1: 'configs/stable-diffusion/v1-inference.yaml', - v2_base: 'configs/stable-diffusion/v2-inference-v.yaml', - v2_768: 'configs/stable-diffusion/v2-inference-v.yaml', - inpainting: 'configs/stable-diffusion/v1-inpainting-inference.yaml', - custom: pathToConfig, - }; - - modelsToBeAdded?.forEach((model) => { - const modelFormat = { - name: model.name, - description: '', - config: configFiles[modelType as keyof typeof configFiles], - weights: model.location, - vae: '', - width: 512, - height: 512, - default: false, - format: 'ckpt', - }; - dispatch(addNewModel(modelFormat)); - }); - setModelsToAdd([]); - }; - - const renderFoundModels = () => { - const newFoundModels: ReactNode[] = []; - const existingFoundModels: ReactNode[] = []; - - if (foundModels) { - foundModels.forEach((model, index) => { - if (existingModels.includes(model.location)) { - existingFoundModels.push( - - ); - } else { - newFoundModels.push( - - ); - } - }); - } - - return ( - - {newFoundModels} - {shouldShowExistingModelsInSearch && existingFoundModels} - - ); - }; - return ( - <> - {searchFolder ? ( - - - - {t('modelManager.checkpointFolder')} - - {searchFolder} - - - } - fontSize={18} - disabled={isProcessing} - onClick={() => dispatch(searchForModels(searchFolder))} - /> - } - onClick={resetSearchModelHandler} - /> - - ) : ( - { - findModelsHandler(values); - }} - > - {({ handleSubmit }) => ( - - - - - - } - aria-label={t('modelManager.findModels')} - tooltip={t('modelManager.findModels')} - type="submit" - disabled={isProcessing} - px={8} - > - {t('modelManager.findModels')} - - - - )} - - )} - {foundModels && ( - - -

- {t('modelManager.modelsFound')}: {foundModels.length} -

-

- {t('modelManager.selected')}: {modelsToAdd.length} -

- - - - - {t('modelManager.selectAll')} - - - {t('modelManager.deselectAll')} - - - dispatch( - setShouldShowExistingModelsInSearch( - !shouldShowExistingModelsInSearch - ) - ) - } - /> - - - - {t('modelManager.addSelected')} - - - - - - - {t('modelManager.pickModelType')} - - setModelType(v)} - defaultValue="v1" - name="model_type" - > - - - {t('modelManager.v1')} - - - {t('modelManager.v2_base')} - - - {t('modelManager.v2_768')} - - - {t('modelManager.inpainting')} - - - {t('modelManager.customConfig')} - - - - - - {modelType === 'custom' && ( - - - {t('modelManager.pathToCustomConfig')} - - { - if (e.target.value !== '') setPathToConfig(e.target.value); - }} - width="full" - /> - - )} - - - - {foundModels.length > 0 ? ( - renderFoundModels() - ) : ( - - {t('modelManager.noModelsFound')} - - )} - - - )} - + + + + ); } diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SearchModelsOld.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SearchModelsOld.tsx new file mode 100644 index 0000000000..3381cb85d3 --- /dev/null +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SearchModelsOld.tsx @@ -0,0 +1,430 @@ +import IAIButton from 'common/components/IAIButton'; +import IAISimpleCheckbox from 'common/components/IAISimpleCheckbox'; +import IAIIconButton from 'common/components/IAIIconButton'; +import React from 'react'; + +import { + Badge, + Flex, + FormControl, + HStack, + Radio, + RadioGroup, + Spacer, + Text, +} from '@chakra-ui/react'; +import { createSelector } from '@reduxjs/toolkit'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { systemSelector } from 'features/system/store/systemSelectors'; +import { useTranslation } from 'react-i18next'; + +import { FaSearch, FaTrash } from 'react-icons/fa'; + +// import { addNewModel, searchForModels } from 'app/socketio/actions'; +import { + setFoundModels, + setSearchFolder, +} from 'features/system/store/systemSlice'; +import { setShouldShowExistingModelsInSearch } from 'features/ui/store/uiSlice'; + +import type { FoundModel } from 'app/types/invokeai'; +import type { RootState } from 'app/store/store'; +import IAIInput from 'common/components/IAIInput'; +import { Field, Formik } from 'formik'; +import { forEach, remove } from 'lodash-es'; +import type { ChangeEvent, ReactNode } from 'react'; +import IAIForm from 'common/components/IAIForm'; + +const existingModelsSelector = createSelector([systemSelector], (system) => { + const { model_list } = system; + + const existingModels: string[] = []; + + forEach(model_list, (value) => { + existingModels.push(value.weights); + }); + + return existingModels; +}); + +interface SearchModelEntry { + model: FoundModel; + modelsToAdd: string[]; + setModelsToAdd: React.Dispatch>; +} + +function SearchModelEntry({ + model, + modelsToAdd, + setModelsToAdd, +}: SearchModelEntry) { + const { t } = useTranslation(); + const existingModels = useAppSelector(existingModelsSelector); + + const foundModelsChangeHandler = (e: ChangeEvent) => { + if (!modelsToAdd.includes(e.target.value)) { + setModelsToAdd([...modelsToAdd, e.target.value]); + } else { + setModelsToAdd(remove(modelsToAdd, (v) => v !== e.target.value)); + } + }; + + return ( + + + {model.name}} + isChecked={modelsToAdd.includes(model.name)} + isDisabled={existingModels.includes(model.location)} + onChange={foundModelsChangeHandler} + > + {existingModels.includes(model.location) && ( + {t('modelManager.modelExists')} + )} + + + {model.location} + + + ); +} + +export default function SearchModels() { + const dispatch = useAppDispatch(); + + const { t } = useTranslation(); + + const searchFolder = useAppSelector( + (state: RootState) => state.system.searchFolder + ); + + const foundModels = useAppSelector( + (state: RootState) => state.system.foundModels + ); + + const existingModels = useAppSelector(existingModelsSelector); + + const shouldShowExistingModelsInSearch = useAppSelector( + (state: RootState) => state.ui.shouldShowExistingModelsInSearch + ); + + const isProcessing = useAppSelector( + (state: RootState) => state.system.isProcessing + ); + + const [modelsToAdd, setModelsToAdd] = React.useState([]); + const [modelType, setModelType] = React.useState('v1'); + const [pathToConfig, setPathToConfig] = React.useState(''); + + const resetSearchModelHandler = () => { + dispatch(setSearchFolder(null)); + dispatch(setFoundModels(null)); + setModelsToAdd([]); + }; + + const findModelsHandler = (values: { checkpointFolder: string }) => { + dispatch(searchForModels(values.checkpointFolder)); + }; + + const addAllToSelected = () => { + setModelsToAdd([]); + if (foundModels) { + foundModels.forEach((model) => { + if (!existingModels.includes(model.location)) { + setModelsToAdd((currentModels) => { + return [...currentModels, model.name]; + }); + } + }); + } + }; + + const removeAllFromSelected = () => { + setModelsToAdd([]); + }; + + const addSelectedModels = () => { + const modelsToBeAdded = foundModels?.filter((foundModel) => + modelsToAdd.includes(foundModel.name) + ); + + const configFiles = { + v1: 'configs/stable-diffusion/v1-inference.yaml', + v2_base: 'configs/stable-diffusion/v2-inference-v.yaml', + v2_768: 'configs/stable-diffusion/v2-inference-v.yaml', + inpainting: 'configs/stable-diffusion/v1-inpainting-inference.yaml', + custom: pathToConfig, + }; + + modelsToBeAdded?.forEach((model) => { + const modelFormat = { + name: model.name, + description: '', + config: configFiles[modelType as keyof typeof configFiles], + weights: model.location, + vae: '', + width: 512, + height: 512, + default: false, + format: 'ckpt', + }; + dispatch(addNewModel(modelFormat)); + }); + setModelsToAdd([]); + }; + + const renderFoundModels = () => { + const newFoundModels: ReactNode[] = []; + const existingFoundModels: ReactNode[] = []; + + if (foundModels) { + foundModels.forEach((model, index) => { + if (existingModels.includes(model.location)) { + existingFoundModels.push( + + ); + } else { + newFoundModels.push( + + ); + } + }); + } + + return ( + + {newFoundModels} + {shouldShowExistingModelsInSearch && existingFoundModels} + + ); + }; + + return ( + <> + {searchFolder ? ( + + + + {t('modelManager.checkpointFolder')} + + {searchFolder} + + + } + fontSize={18} + disabled={isProcessing} + onClick={() => dispatch(searchForModels(searchFolder))} + /> + } + onClick={resetSearchModelHandler} + /> + + ) : ( + { + findModelsHandler(values); + }} + > + {({ handleSubmit }) => ( + + + + + + } + aria-label={t('modelManager.findModels')} + tooltip={t('modelManager.findModels')} + type="submit" + disabled={isProcessing} + px={8} + > + {t('modelManager.findModels')} + + + + )} + + )} + {foundModels && ( + + +

+ {t('modelManager.modelsFound')}: {foundModels.length} +

+

+ {t('modelManager.selected')}: {modelsToAdd.length} +

+ + + + + {t('modelManager.selectAll')} + + + {t('modelManager.deselectAll')} + + + dispatch( + setShouldShowExistingModelsInSearch( + !shouldShowExistingModelsInSearch + ) + ) + } + /> + + + + {t('modelManager.addSelected')} + + + + + + + {t('modelManager.pickModelType')} + + setModelType(v)} + defaultValue="v1" + name="model_type" + > + + + {t('modelManager.v1')} + + + {t('modelManager.v2_base')} + + + {t('modelManager.v2_768')} + + + {t('modelManager.inpainting')} + + + {t('modelManager.customConfig')} + + + + + + {modelType === 'custom' && ( + + + {t('modelManager.pathToCustomConfig')} + + { + if (e.target.value !== '') setPathToConfig(e.target.value); + }} + width="full" + /> + + )} + + + + {foundModels.length > 0 ? ( + renderFoundModels() + ) : ( + + {t('modelManager.noModelsFound')} + + )} + + + )} + + ); +} diff --git a/invokeai/frontend/web/src/services/api/endpoints/models.ts b/invokeai/frontend/web/src/services/api/endpoints/models.ts index 79e685313e..a838a82f46 100644 --- a/invokeai/frontend/web/src/services/api/endpoints/models.ts +++ b/invokeai/frontend/web/src/services/api/endpoints/models.ts @@ -14,8 +14,9 @@ import { VaeModelConfig, } from 'services/api/types'; +import queryString from 'query-string'; import { ApiFullTagDescription, LIST_TAG, api } from '..'; -import { paths } from '../schema'; +import { operations, paths } from '../schema'; export type DiffusersModelConfigEntity = DiffusersModelConfig & { id: string }; export type CheckpointModelConfigEntity = CheckpointModelConfig & { @@ -77,6 +78,11 @@ type MergeMainModelArg = { type MergeMainModelResponse = paths['/api/v1/models/merge/{base_model}']['put']['responses']['200']['content']['application/json']; +type SearchFolderResponse = + paths['/api/v1/models/search']['get']['responses']['200']['content']['application/json']; + +type SearchFolderArg = operations['search_for_models']['parameters']['query']; + const mainModelsAdapter = createEntityAdapter({ sortComparer: (a, b) => a.model_name.localeCompare(b.model_name), }); @@ -331,6 +337,14 @@ export const modelsApi = api.injectEndpoints({ ); }, }), + getModelsInFolder: build.query({ + query: (arg) => { + const folderQueryStr = queryString.stringify(arg, {}); + return { + url: `/models/search?${folderQueryStr}`, + }; + }, + }), }), }); @@ -344,4 +358,5 @@ export const { useDeleteMainModelsMutation, useConvertMainModelsMutation, useMergeMainModelsMutation, + useGetModelsInFolderQuery, } = modelsApi; diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts index 610e9fa05e..892ed289c1 100644 --- a/invokeai/frontend/web/src/services/api/schema.d.ts +++ b/invokeai/frontend/web/src/services/api/schema.d.ts @@ -4655,18 +4655,18 @@ export type components = { */ image?: components["schemas"]["ImageField"]; }; - /** - * StableDiffusion1ModelFormat - * @description An enumeration. - * @enum {string} - */ - StableDiffusion1ModelFormat: "checkpoint" | "diffusers"; /** * StableDiffusion2ModelFormat * @description An enumeration. * @enum {string} */ StableDiffusion2ModelFormat: "checkpoint" | "diffusers"; + /** + * StableDiffusion1ModelFormat + * @description An enumeration. + * @enum {string} + */ + StableDiffusion1ModelFormat: "checkpoint" | "diffusers"; }; responses: never; parameters: never; diff --git a/invokeai/frontend/web/src/services/api/types.d.ts b/invokeai/frontend/web/src/services/api/types.d.ts index 57258fb19b..c945b7de78 100644 --- a/invokeai/frontend/web/src/services/api/types.d.ts +++ b/invokeai/frontend/web/src/services/api/types.d.ts @@ -58,6 +58,7 @@ export type AnyModelConfig = export type MergeModelConfig = components['schemas']['Body_merge_models']; export type ConvertModelConfig = components['schemas']['Body_convert_model']; +export type SearchFolderConfig = components['schemas']; // Graphs export type Graph = components['schemas']['Graph']; From d234bf1cb97f327d848982fa86e2512180123494 Mon Sep 17 00:00:00 2001 From: psychedelicious <4822129+psychedelicious@users.noreply.github.com> Date: Sat, 15 Jul 2023 21:27:10 +1000 Subject: [PATCH 11/72] feat(install): display full ESRGAN model filenames during installation --- invokeai/backend/install/invokeai_configure.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/invokeai/backend/install/invokeai_configure.py b/invokeai/backend/install/invokeai_configure.py index 9d126a0a93..91f379a573 100755 --- a/invokeai/backend/install/invokeai_configure.py +++ b/invokeai/backend/install/invokeai_configure.py @@ -223,22 +223,22 @@ def download_conversion_models(): # --------------------------------------------- def download_realesrgan(): - logger.info("Installing models from RealESRGAN...") + logger.info("Installing RealESRGAN models...") URLs = [ dict( url = "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth", dest = "core/upscaling/realesrgan/RealESRGAN_x4plus.pth", - description = "RealESRGAN X4 Plus", + description = "RealESRGAN_x4plus.pth", ), dict( url = "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth", dest = "core/upscaling/realesrgan/RealESRGAN_x4plus_anime_6B.pth", - description = "RealESRGAN X4 Plus Anime 6B", + description = "RealESRGAN_x4plus_anime_6B.pth", ), dict( url= "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.1/ESRGAN_SRx4_DF2KOST_official-ff704c30.pth", dest= "core/upscaling/realesrgan/ESRGAN_SRx4_DF2KOST_official-ff704c30.pth", - description = "RealESRGAN X4 Official", + description = "ESRGAN_SRx4_DF2KOST_official.pth", ), ] for model in URLs: From e1c0ca1ab2663e518d9b91c9013c510af5cdd2ce Mon Sep 17 00:00:00 2001 From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com> Date: Sun, 16 Jul 2023 01:36:00 +1200 Subject: [PATCH 12/72] feat: Add Auto Import Model --- invokeai/frontend/web/public/locales/en.json | 3 +- .../tabs/ModelManager/ModelManagerTab.tsx | 8 +- .../ModelManager/subpanels/AddModelsPanel.tsx | 42 ++- .../AddModelsPanel/AddDiffusersModel.tsx | 259 ------------------ .../subpanels/AddModelsPanel/AddModels.tsx | 110 ++++++++ .../AddModelsPanel/FoundModelsList.tsx | 6 +- ...{AddCheckpointModel.tsx => ScanModels.tsx} | 2 +- .../subpanels/AddModelsPanel/SearchModels.tsx | 4 +- .../web/src/features/ui/store/uiTypes.ts | 3 - .../web/src/services/api/endpoints/models.ts | 22 ++ .../frontend/web/src/services/api/types.d.ts | 2 +- 11 files changed, 167 insertions(+), 294 deletions(-) delete mode 100644 invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AddDiffusersModel.tsx create mode 100644 invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AddModels.tsx rename invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/{AddCheckpointModel.tsx => ScanModels.tsx} (99%) diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json index 36cf1d7af6..ed2899cfcb 100644 --- a/invokeai/frontend/web/public/locales/en.json +++ b/invokeai/frontend/web/public/locales/en.json @@ -454,7 +454,8 @@ "none": "none", "addDifference": "Add Difference", "pickModelType": "Pick Model Type", - "selectModel": "Select Model" + "selectModel": "Select Model", + "importModels": "Import Models" }, "parameters": { "general": "General", diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/ModelManagerTab.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/ModelManagerTab.tsx index 9aced0dda8..6f9a836902 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/ModelManagerTab.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/ModelManagerTab.tsx @@ -5,7 +5,7 @@ import AddModelsPanel from './subpanels/AddModelsPanel'; import MergeModelsPanel from './subpanels/MergeModelsPanel'; import ModelManagerPanel from './subpanels/ModelManagerPanel'; -type ModelManagerTabName = 'modelManager' | 'addModels' | 'mergeModels'; +type ModelManagerTabName = 'modelManager' | 'importModels' | 'mergeModels'; type ModelManagerTabInfo = { id: ModelManagerTabName; @@ -20,8 +20,8 @@ const tabs: ModelManagerTabInfo[] = [ content: , }, { - id: 'addModels', - label: i18n.t('modelManager.addModel'), + id: 'importModels', + label: i18n.t('modelManager.importModels'), content: , }, { @@ -46,7 +46,7 @@ const ModelManagerTab = () => { ))} - + {tabs.map((tab) => ( {tab.content} diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel.tsx index 32fafe9ae1..d868dc6c80 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel.tsx @@ -1,43 +1,39 @@ -import { Divider, Flex, useColorMode } from '@chakra-ui/react'; -import { RootState } from 'app/store/store'; -import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { ButtonGroup, Divider, Flex } from '@chakra-ui/react'; import IAIButton from 'common/components/IAIButton'; -import { setAddNewModelUIOption } from 'features/ui/store/uiSlice'; +import { useState } from 'react'; import { useTranslation } from 'react-i18next'; -import AddCheckpointModel from './AddModelsPanel/AddCheckpointModel'; -import AddDiffusersModel from './AddModelsPanel/AddDiffusersModel'; +import AddModels from './AddModelsPanel/AddModels'; +import ScanModels from './AddModelsPanel/ScanModels'; + +type AddModelTabs = 'add' | 'scan'; export default function AddModelsPanel() { - const addNewModelUIOption = useAppSelector( - (state: RootState) => state.ui.addNewModelUIOption - ); - - const { colorMode } = useColorMode(); - - const dispatch = useAppDispatch(); + const [addModelTab, setAddModelTab] = useState('add'); const { t } = useTranslation(); return ( - + dispatch(setAddNewModelUIOption('ckpt'))} - isChecked={addNewModelUIOption == 'ckpt'} + onClick={() => setAddModelTab('add')} + isChecked={addModelTab == 'add'} + size="sm" > - {t('modelManager.addCheckpointModel')} + {t('modelManager.addModel')} dispatch(setAddNewModelUIOption('diffusers'))} - isChecked={addNewModelUIOption == 'diffusers'} + onClick={() => setAddModelTab('scan')} + isChecked={addModelTab == 'scan'} + size="sm" > - {t('modelManager.addDiffuserModel')} + {t('modelManager.scanForModels')} - + - {addNewModelUIOption == 'ckpt' && } - {addNewModelUIOption == 'diffusers' && } + {addModelTab == 'add' && } + {addModelTab == 'scan' && } ); } diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AddDiffusersModel.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AddDiffusersModel.tsx deleted file mode 100644 index c871a0ede5..0000000000 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AddDiffusersModel.tsx +++ /dev/null @@ -1,259 +0,0 @@ -import { - Flex, - FormControl, - FormErrorMessage, - FormHelperText, - FormLabel, - Text, - VStack, -} from '@chakra-ui/react'; -import { InvokeDiffusersModelConfigProps } from 'app/types/invokeai'; -// import { addNewModel } from 'app/socketio/actions'; -import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; -import IAIButton from 'common/components/IAIButton'; -import IAIInput from 'common/components/IAIInput'; -import { setAddNewModelUIOption } from 'features/ui/store/uiSlice'; -import { Field, Formik } from 'formik'; -import { useTranslation } from 'react-i18next'; - -import type { RootState } from 'app/store/store'; -import IAIForm from 'common/components/IAIForm'; -import { IAIFormItemWrapper } from 'common/components/IAIForms/IAIFormItemWrapper'; - -export default function AddDiffusersModel() { - const dispatch = useAppDispatch(); - const { t } = useTranslation(); - - const isProcessing = useAppSelector( - (state: RootState) => state.system.isProcessing - ); - - function hasWhiteSpace(s: string) { - return /\s/.test(s); - } - - function baseValidation(value: string) { - let error; - if (hasWhiteSpace(value)) error = t('modelManager.cannotUseSpaces'); - return error; - } - - const addModelFormValues: InvokeDiffusersModelConfigProps = { - name: '', - description: '', - repo_id: '', - path: '', - format: 'diffusers', - default: false, - vae: { - repo_id: '', - path: '', - }, - }; - - const addModelFormSubmitHandler = ( - values: InvokeDiffusersModelConfigProps - ) => { - const diffusersModelToAdd = values; - - if (values.path === '') delete diffusersModelToAdd.path; - if (values.repo_id === '') delete diffusersModelToAdd.repo_id; - if (values.vae.path === '') delete diffusersModelToAdd.vae.path; - if (values.vae.repo_id === '') delete diffusersModelToAdd.vae.repo_id; - - dispatch(addNewModel(diffusersModelToAdd)); - dispatch(setAddNewModelUIOption(null)); - }; - - return ( - - - {({ handleSubmit, errors, touched }) => ( - - - - {/* Name */} - - - {t('modelManager.name')} - - - - {!!errors.name && touched.name ? ( - {errors.name} - ) : ( - - {t('modelManager.nameValidationMsg')} - - )} - - - - - - {/* Description */} - - - {t('modelManager.description')} - - - - {!!errors.description && touched.description ? ( - {errors.description} - ) : ( - - {t('modelManager.descriptionValidationMsg')} - - )} - - - - - - - {t('modelManager.formMessageDiffusersModelLocation')} - - - {t('modelManager.formMessageDiffusersModelLocationDesc')} - - - {/* Path */} - - - {t('modelManager.modelLocation')} - - - - {!!errors.path && touched.path ? ( - {errors.path} - ) : ( - - {t('modelManager.modelLocationValidationMsg')} - - )} - - - - {/* Repo ID */} - - - {t('modelManager.repo_id')} - - - - {!!errors.repo_id && touched.repo_id ? ( - {errors.repo_id} - ) : ( - - {t('modelManager.repoIDValidationMsg')} - - )} - - - - - - {/* VAE Path */} - - {t('modelManager.formMessageDiffusersVAELocation')} - - - {t('modelManager.formMessageDiffusersVAELocationDesc')} - - - - {t('modelManager.vaeLocation')} - - - - {!!errors.vae?.path && touched.vae?.path ? ( - {errors.vae?.path} - ) : ( - - {t('modelManager.vaeLocationValidationMsg')} - - )} - - - - {/* VAE Repo ID */} - - - {t('modelManager.vaeRepoID')} - - - - {!!errors.vae?.repo_id && touched.vae?.repo_id ? ( - {errors.vae?.repo_id} - ) : ( - - {t('modelManager.vaeRepoIDValidationMsg')} - - )} - - - - - - {t('modelManager.addModel')} - - - - )} - - - ); -} diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AddModels.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AddModels.tsx new file mode 100644 index 0000000000..c6517d38a7 --- /dev/null +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AddModels.tsx @@ -0,0 +1,110 @@ +import { Flex } from '@chakra-ui/react'; +// import { addNewModel } from 'app/socketio/actions'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { useTranslation } from 'react-i18next'; + +import { SelectItem } from '@mantine/core'; +import { useForm } from '@mantine/form'; +import { makeToast } from 'app/components/Toaster'; +import { RootState } from 'app/store/store'; +import IAIButton from 'common/components/IAIButton'; +import IAIMantineTextInput from 'common/components/IAIMantineInput'; +import IAIMantineSelect from 'common/components/IAIMantineSelect'; +import { addToast } from 'features/system/store/systemSlice'; +import { useImportMainModelsMutation } from 'services/api/endpoints/models'; + +const predictionSelectData: SelectItem[] = [ + { label: 'None', value: 'none' }, + { label: 'v_prediction', value: 'v_prediction' }, + { label: 'epsilon', value: 'epsilon' }, + { label: 'sample', value: 'sample' }, +]; + +type ExtendedImportModelConfig = { + location: string; + prediction_type?: 'v_prediction' | 'epsilon' | 'sample' | 'none' | undefined; +}; + +export default function AddModels() { + const dispatch = useAppDispatch(); + const { t } = useTranslation(); + + const isProcessing = useAppSelector( + (state: RootState) => state.system.isProcessing + ); + + const [importMainModel, { isLoading }] = useImportMainModelsMutation(); + + const addModelForm = useForm({ + initialValues: { + location: '', + prediction_type: undefined, + }, + }); + + const handleAddModelSubmit = (values: ExtendedImportModelConfig) => { + const importModelResponseBody = { + location: values.location, + prediction_type: + values.prediction_type === 'none' ? undefined : values.prediction_type, + }; + + importMainModel({ body: importModelResponseBody }) + .unwrap() + .then((_) => { + dispatch( + addToast( + makeToast({ + title: 'Model Added', + status: 'success', + }) + ) + ); + addModelForm.reset(); + }) + .catch((error) => { + if (error) { + console.log(error); + dispatch( + addToast( + makeToast({ + title: `${error.data.detail} `, + status: 'error', + }) + ) + ); + } + }); + }; + + return ( +
handleAddModelSubmit(v))}> + + + + + {t('modelManager.addModel')} + + +
+ ); +} diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/FoundModelsList.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/FoundModelsList.tsx index af862d005d..69dbd20746 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/FoundModelsList.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/FoundModelsList.tsx @@ -22,7 +22,11 @@ export default function FoundModelsList() { } return ( - + {foundModels.map((model) => ( {model} ))} diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AddCheckpointModel.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ScanModels.tsx similarity index 99% rename from invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AddCheckpointModel.tsx rename to invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ScanModels.tsx index 75e2017bb8..20f4330658 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AddCheckpointModel.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ScanModels.tsx @@ -33,7 +33,7 @@ import SearchModels from './SearchModels'; const MIN_MODEL_SIZE = 64; const MAX_MODEL_SIZE = 2048; -export default function AddCheckpointModel() { +export default function ScanModels() { const dispatch = useAppDispatch(); const { t } = useTranslation(); diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SearchModels.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SearchModels.tsx index e3e48c7e6b..be2d9ea20d 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SearchModels.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SearchModels.tsx @@ -11,7 +11,9 @@ export default function SearchModels() { return ( - + + + ); } diff --git a/invokeai/frontend/web/src/features/ui/store/uiTypes.ts b/invokeai/frontend/web/src/features/ui/store/uiTypes.ts index 4c72bd6239..325e8e898f 100644 --- a/invokeai/frontend/web/src/features/ui/store/uiTypes.ts +++ b/invokeai/frontend/web/src/features/ui/store/uiTypes.ts @@ -1,7 +1,5 @@ import { SchedulerParam } from 'features/parameters/types/parameterSchemas'; -export type AddNewModelType = 'ckpt' | 'diffusers' | null; - export type Coordinates = { x: number; y: number; @@ -22,7 +20,6 @@ export interface UIState { shouldUseCanvasBetaLayout: boolean; shouldShowExistingModelsInSearch: boolean; shouldUseSliders: boolean; - addNewModelUIOption: AddNewModelType; shouldHidePreview: boolean; shouldPinGallery: boolean; shouldShowGallery: boolean; diff --git a/invokeai/frontend/web/src/services/api/endpoints/models.ts b/invokeai/frontend/web/src/services/api/endpoints/models.ts index a838a82f46..2a5e5547b3 100644 --- a/invokeai/frontend/web/src/services/api/endpoints/models.ts +++ b/invokeai/frontend/web/src/services/api/endpoints/models.ts @@ -7,6 +7,7 @@ import { ControlNetModelConfig, ConvertModelConfig, DiffusersModelConfig, + ImportModelConfig, LoRAModelConfig, MainModelConfig, MergeModelConfig, @@ -78,6 +79,13 @@ type MergeMainModelArg = { type MergeMainModelResponse = paths['/api/v1/models/merge/{base_model}']['put']['responses']['200']['content']['application/json']; +type ImportMainModelArg = { + body: ImportModelConfig; +}; + +type ImportMainModelResponse = + paths['/api/v1/models/import']['post']['responses']['201']['content']['application/json']; + type SearchFolderResponse = paths['/api/v1/models/search']['get']['responses']['200']['content']['application/json']; @@ -168,6 +176,19 @@ export const modelsApi = api.injectEndpoints({ }, invalidatesTags: [{ type: 'MainModel', id: LIST_TAG }], }), + importMainModels: build.mutation< + ImportMainModelResponse, + ImportMainModelArg + >({ + query: ({ body }) => { + return { + url: `models/import`, + method: 'POST', + body: body, + }; + }, + invalidatesTags: [{ type: 'MainModel', id: LIST_TAG }], + }), deleteMainModels: build.mutation< DeleteMainModelResponse, DeleteMainModelArg @@ -356,6 +377,7 @@ export const { useGetVaeModelsQuery, useUpdateMainModelsMutation, useDeleteMainModelsMutation, + useImportMainModelsMutation, useConvertMainModelsMutation, useMergeMainModelsMutation, useGetModelsInFolderQuery, diff --git a/invokeai/frontend/web/src/services/api/types.d.ts b/invokeai/frontend/web/src/services/api/types.d.ts index 8519228c5e..6812a62925 100644 --- a/invokeai/frontend/web/src/services/api/types.d.ts +++ b/invokeai/frontend/web/src/services/api/types.d.ts @@ -60,7 +60,7 @@ export type AnyModelConfig = export type MergeModelConfig = components['schemas']['Body_merge_models']; export type ConvertModelConfig = components['schemas']['Body_convert_model']; -export type SearchFolderConfig = components['schemas']; +export type ImportModelConfig = components['schemas']['Body_import_model']; // Graphs export type Graph = components['schemas']['Graph']; From b1e16aa3db1330656df594759c49befbcd25cd53 Mon Sep 17 00:00:00 2001 From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com> Date: Sun, 16 Jul 2023 01:41:32 +1200 Subject: [PATCH 13/72] fix: placeholder text for Add model input --- .../tabs/ModelManager/subpanels/AddModelsPanel/AddModels.tsx | 3 ++- .../ModelManager/subpanels/AddModelsPanel/FoundModelsList.tsx | 2 -- 2 files changed, 2 insertions(+), 3 deletions(-) diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AddModels.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AddModels.tsx index c6517d38a7..e4d6ffb663 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AddModels.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AddModels.tsx @@ -88,11 +88,12 @@ export default function AddModels() { > { if (!searchFolder) return; From cd033f4ead1a9eb4be35cff6118c16860d1accfa Mon Sep 17 00:00:00 2001 From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com> Date: Sun, 16 Jul 2023 01:57:42 +1200 Subject: [PATCH 14/72] fix: Refine some UI --- .../ModelManager/subpanels/AddModelsPanel.tsx | 2 + .../subpanels/AddModelsPanel/AddModels.tsx | 136 +++++------------- .../AddModelsPanel/AutoAddModels.tsx | 108 ++++++++++++++ 3 files changed, 146 insertions(+), 100 deletions(-) create mode 100644 invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AutoAddModels.tsx diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel.tsx index d868dc6c80..cac6c7a136 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel.tsx @@ -18,6 +18,7 @@ export default function AddModelsPanel() { onClick={() => setAddModelTab('add')} isChecked={addModelTab == 'add'} size="sm" + width="100%" > {t('modelManager.addModel')} @@ -25,6 +26,7 @@ export default function AddModelsPanel() { onClick={() => setAddModelTab('scan')} isChecked={addModelTab == 'scan'} size="sm" + width="100%" > {t('modelManager.scanForModels')} diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AddModels.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AddModels.tsx index e4d6ffb663..e667c17d3e 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AddModels.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AddModels.tsx @@ -1,111 +1,47 @@ -import { Flex } from '@chakra-ui/react'; -// import { addNewModel } from 'app/socketio/actions'; -import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; -import { useTranslation } from 'react-i18next'; - -import { SelectItem } from '@mantine/core'; -import { useForm } from '@mantine/form'; -import { makeToast } from 'app/components/Toaster'; -import { RootState } from 'app/store/store'; +import { ButtonGroup, Flex } from '@chakra-ui/react'; import IAIButton from 'common/components/IAIButton'; -import IAIMantineTextInput from 'common/components/IAIMantineInput'; -import IAIMantineSelect from 'common/components/IAIMantineSelect'; -import { addToast } from 'features/system/store/systemSlice'; -import { useImportMainModelsMutation } from 'services/api/endpoints/models'; - -const predictionSelectData: SelectItem[] = [ - { label: 'None', value: 'none' }, - { label: 'v_prediction', value: 'v_prediction' }, - { label: 'epsilon', value: 'epsilon' }, - { label: 'sample', value: 'sample' }, -]; - -type ExtendedImportModelConfig = { - location: string; - prediction_type?: 'v_prediction' | 'epsilon' | 'sample' | 'none' | undefined; -}; +import { useState } from 'react'; +import AutoAddModels from './AutoAddModels'; export default function AddModels() { - const dispatch = useAppDispatch(); - const { t } = useTranslation(); - - const isProcessing = useAppSelector( - (state: RootState) => state.system.isProcessing + const [addModelMode, setAddModelMode] = useState<'simple' | 'advanced'>( + 'simple' ); - - const [importMainModel, { isLoading }] = useImportMainModelsMutation(); - - const addModelForm = useForm({ - initialValues: { - location: '', - prediction_type: undefined, - }, - }); - - const handleAddModelSubmit = (values: ExtendedImportModelConfig) => { - const importModelResponseBody = { - location: values.location, - prediction_type: - values.prediction_type === 'none' ? undefined : values.prediction_type, - }; - - importMainModel({ body: importModelResponseBody }) - .unwrap() - .then((_) => { - dispatch( - addToast( - makeToast({ - title: 'Model Added', - status: 'success', - }) - ) - ); - addModelForm.reset(); - }) - .catch((error) => { - if (error) { - console.log(error); - dispatch( - addToast( - makeToast({ - title: `${error.data.detail} `, - status: 'error', - }) - ) - ); - } - }); - }; - return ( -
handleAddModelSubmit(v))}> - - - + + setAddModelMode('simple')} > - {t('modelManager.addModel')} + Simple + setAddModelMode('advanced')} + > + Advanced + + + + {addModelMode === 'simple' && } + {addModelMode === 'advanced' && null} - + ); } diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AutoAddModels.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AutoAddModels.tsx new file mode 100644 index 0000000000..55a33ca1b8 --- /dev/null +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AutoAddModels.tsx @@ -0,0 +1,108 @@ +import { Flex } from '@chakra-ui/react'; +// import { addNewModel } from 'app/socketio/actions'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { useTranslation } from 'react-i18next'; + +import { SelectItem } from '@mantine/core'; +import { useForm } from '@mantine/form'; +import { makeToast } from 'app/components/Toaster'; +import { RootState } from 'app/store/store'; +import IAIButton from 'common/components/IAIButton'; +import IAIMantineTextInput from 'common/components/IAIMantineInput'; +import IAIMantineSelect from 'common/components/IAIMantineSelect'; +import { addToast } from 'features/system/store/systemSlice'; +import { useImportMainModelsMutation } from 'services/api/endpoints/models'; + +const predictionSelectData: SelectItem[] = [ + { label: 'None', value: 'none' }, + { label: 'v_prediction', value: 'v_prediction' }, + { label: 'epsilon', value: 'epsilon' }, + { label: 'sample', value: 'sample' }, +]; + +type ExtendedImportModelConfig = { + location: string; + prediction_type?: 'v_prediction' | 'epsilon' | 'sample' | 'none' | undefined; +}; + +export default function AutoAddModels() { + const dispatch = useAppDispatch(); + const { t } = useTranslation(); + + const isProcessing = useAppSelector( + (state: RootState) => state.system.isProcessing + ); + + const [importMainModel, { isLoading }] = useImportMainModelsMutation(); + + const addModelForm = useForm({ + initialValues: { + location: '', + prediction_type: undefined, + }, + }); + + const handleAddModelSubmit = (values: ExtendedImportModelConfig) => { + const importModelResponseBody = { + location: values.location, + prediction_type: + values.prediction_type === 'none' ? undefined : values.prediction_type, + }; + + importMainModel({ body: importModelResponseBody }) + .unwrap() + .then((_) => { + dispatch( + addToast( + makeToast({ + title: 'Model Added', + status: 'success', + }) + ) + ); + addModelForm.reset(); + }) + .catch((error) => { + if (error) { + console.log(error); + dispatch( + addToast( + makeToast({ + title: `${error.data.detail} `, + status: 'error', + }) + ) + ); + } + }); + }; + + return ( +
handleAddModelSubmit(v))} + style={{ width: '100%' }} + > + + + + + {t('modelManager.addModel')} + + +
+ ); +} From 74ca87ac9eb23995a5f1af77a5dc4171460f5ba8 Mon Sep 17 00:00:00 2001 From: psychedelicious <4822129+psychedelicious@users.noreply.github.com> Date: Sun, 16 Jul 2023 01:06:50 +1000 Subject: [PATCH 15/72] feat(nodes): add realesrgan node --- invokeai/app/invocations/upscale.py | 126 +++++++++++++++++++++------- 1 file changed, 95 insertions(+), 31 deletions(-) diff --git a/invokeai/app/invocations/upscale.py b/invokeai/app/invocations/upscale.py index 15497343ae..f320e010e2 100644 --- a/invokeai/app/invocations/upscale.py +++ b/invokeai/app/invocations/upscale.py @@ -1,48 +1,112 @@ -# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654) - -from typing import Literal, Optional +# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654) & the InvokeAI Team +from pathlib import Path +from typing import Literal, Union, cast +import cv2 as cv +import numpy as np +from basicsr.archs.rrdbnet_arch import RRDBNet +from PIL import Image from pydantic import Field +from realesrgan import RealESRGANer from invokeai.app.models.image import ImageCategory, ImageField, ResourceOrigin -from .baseinvocation import BaseInvocation, InvocationContext, InvocationConfig + +from .baseinvocation import BaseInvocation, InvocationContext from .image import ImageOutput +# TODO: Populate this from disk? +# TODO: Use model manager to load? +REALESRGAN_MODELS = Literal[ + "RealESRGAN_x4plus.pth", + "RealESRGAN_x4plus_anime_6B.pth", + "ESRGAN_SRx4_DF2KOST_official-ff704c30.pth", +] -class UpscaleInvocation(BaseInvocation): - """Upscales an image.""" - # fmt: off - type: Literal["upscale"] = "upscale" +class RealESRGANInvocation(BaseInvocation): + """Upscales an image using RealESRGAN.""" - # Inputs - image: Optional[ImageField] = Field(description="The input image", default=None) - strength: float = Field(default=0.75, gt=0, le=1, description="The strength") - level: Literal[2, 4] = Field(default=2, description="The upscale level") - # fmt: on - - # Schema customisation - class Config(InvocationConfig): - schema_extra = { - "ui": { - "tags": ["upscaling", "image"], - }, - } + type: Literal["realesrgan"] = "realesrgan" + image: Union[ImageField, None] = Field(default=None, description="The input image") + model_name: REALESRGAN_MODELS = Field( + default="RealESRGAN_x4plus.pth", description="The Real-ESRGAN model to use" + ) def invoke(self, context: InvocationContext) -> ImageOutput: - image = context.services.images.get_pil_image(self.image.image_name) - results = context.services.restoration.upscale_and_reconstruct( - image_list=[[image, 0]], - upscale=(self.level, self.strength), - strength=0.0, # GFPGAN strength - save_original=False, - image_callback=None, + image = context.services.images.get_pil_image(self.image.image_name) # type: ignore + models_dir = cast(Path, context.services.configuration.root_dir) / Path("models/") # type: ignore + + rrdbnet_model = None + netscale = None + model_path = None + + if self.model_name in [ + "RealESRGAN_x4plus.pth", + "ESRGAN_SRx4_DF2KOST_official-ff704c30.pth", + ]: + # x4 RRDBNet model + rrdbnet_model = RRDBNet( + num_in_ch=3, + num_out_ch=3, + num_feat=64, + num_block=23, + num_grow_ch=32, + scale=4, + ) + netscale = 4 + elif self.model_name == "RealESRGAN_x4plus_anime_6B.pth": + # x4 RRDBNet model, 6 blocks + rrdbnet_model = RRDBNet( + num_in_ch=3, + num_out_ch=3, + num_feat=64, + num_block=6, # 6 blocks + num_grow_ch=32, + scale=4, + ) + netscale = 4 + # TODO: add x2 models handling? + # elif self.model_name in ["RealESRGAN_x2plus"]: + # # x2 RRDBNet model + # model = RRDBNet( + # num_in_ch=3, + # num_out_ch=3, + # num_feat=64, + # num_block=23, + # num_grow_ch=32, + # scale=2, + # ) + # model_path = Path() + # netscale = 2 + else: + msg = f"Invalid RealESRGAN model: {self.model_name}" + context.services.logger.error(msg) + raise ValueError(msg) + + model_path = Path(f"core/upscaling/realesrgan/{self.model_name}") + + upsampler = RealESRGANer( + scale=netscale, + model_path=str(models_dir / model_path), + model=rrdbnet_model, + half=False, ) - # Results are image and seed, unwrap for now - # TODO: can this return multiple results? + # prepare image - Real-ESRGAN uses cv2 internally, and cv2 uses BGR vs RGB for PIL + cv_image = cv.cvtColor(np.array(image.convert("RGB")), cv.COLOR_RGB2BGR) + + # We can pass an `outscale` value here, but it just resizes the image by that factor after + # upscaling, so it's kinda pointless for our purposes. If you want something other than 4x + # upscaling, you'll need to add a resize node after this one. + upscaled_image, img_mode = upsampler.enhance(cv_image) + + # back to PIL + pil_image = Image.fromarray( + cv.cvtColor(upscaled_image, cv.COLOR_BGR2RGB) + ).convert("RGBA") + image_dto = context.services.images.create( - image=results[0][0], + image=pil_image, image_origin=ResourceOrigin.INTERNAL, image_category=ImageCategory.GENERAL, node_id=self.id, From 8a1b9d1001228c93ed6ad0b314d7b485573a7975 Mon Sep 17 00:00:00 2001 From: psychedelicious <4822129+psychedelicious@users.noreply.github.com> Date: Sun, 16 Jul 2023 01:06:57 +1000 Subject: [PATCH 16/72] chore(ui): regen types --- .../frontend/web/src/services/api/schema.d.ts | 355 +++++++++++++----- 1 file changed, 256 insertions(+), 99 deletions(-) diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts index dc68200408..c658357016 100644 --- a/invokeai/frontend/web/src/services/api/schema.d.ts +++ b/invokeai/frontend/web/src/services/api/schema.d.ts @@ -75,11 +75,6 @@ export type paths = { * @description Gets a list of models */ get: operations["list_models"]; - /** - * Import Model - * @description Add a model using its local path, repo_id, or remote URL - */ - post: operations["import_model"]; }; "/api/v1/models/{base_model}/{model_type}/{model_name}": { /** @@ -93,13 +88,53 @@ export type paths = { */ patch: operations["update_model"]; }; + "/api/v1/models/import": { + /** + * Import Model + * @description Add a model using its local path, repo_id, or remote URL. Model characteristics will be probed and configured automatically + */ + post: operations["import_model"]; + }; + "/api/v1/models/add": { + /** + * Add Model + * @description Add a model using the configuration information appropriate for its type. Only local models can be added by path + */ + post: operations["add_model"]; + }; + "/api/v1/models/rename/{base_model}/{model_type}/{model_name}": { + /** + * Rename Model + * @description Rename a model + */ + post: operations["rename_model"]; + }; "/api/v1/models/convert/{base_model}/{model_type}/{model_name}": { /** * Convert Model - * @description Convert a checkpoint model into a diffusers model + * @description Convert a checkpoint model into a diffusers model, optionally saving to the indicated destination directory, or `models` if none. */ put: operations["convert_model"]; }; + "/api/v1/models/search": { + /** Search For Models */ + get: operations["search_for_models"]; + }; + "/api/v1/models/ckpt_confs": { + /** + * List Ckpt Configs + * @description Return a list of the legacy checkpoint configuration files stored in `ROOT/configs/stable-diffusion`, relative to ROOT. + */ + get: operations["list_ckpt_configs"]; + }; + "/api/v1/models/sync": { + /** + * Sync To Config + * @description Call after making changes to models.yaml, autoimport directories or models directory to synchronize + * in-memory data structures with disk data structures. + */ + get: operations["sync_to_config"]; + }; "/api/v1/models/merge/{base_model}": { /** * Merge Models @@ -397,6 +432,11 @@ export type components = { * @default false */ force?: boolean; + /** + * Merge Dest Directory + * @description Save the merged model to the designated directory (with 'merged_model_name' appended) + */ + merge_dest_directory?: string; }; /** Body_remove_board_image */ Body_remove_board_image: { @@ -1186,7 +1226,7 @@ export type components = { * @description The nodes in this graph */ nodes?: { - [key: string]: (components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["UpscaleInvocation"] | components["schemas"]["RestoreFaceInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]) | undefined; + [key: string]: (components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RealESRGANInvocation"] | components["schemas"]["RestoreFaceInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]) | undefined; }; /** * Edges @@ -3302,7 +3342,7 @@ export type components = { /** ModelsList */ ModelsList: { /** Models */ - models: (components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"])[]; + models: (components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"])[]; }; /** * MultiplyInvocation @@ -3893,6 +3933,41 @@ export type components = { */ step?: number; }; + /** + * RealESRGANInvocation + * @description Upscales an image using RealESRGAN. + */ + RealESRGANInvocation: { + /** + * Id + * @description The id of this node. Must be unique among all nodes. + */ + id: string; + /** + * Is Intermediate + * @description Whether or not this node is an intermediate node. + * @default false + */ + is_intermediate?: boolean; + /** + * Type + * @default realesrgan + * @enum {string} + */ + type?: "realesrgan"; + /** + * Image + * @description The input image + */ + image?: components["schemas"]["ImageField"]; + /** + * Model Name + * @description The Real-ESRGAN model to use + * @default RealESRGAN_x4plus.pth + * @enum {string} + */ + model_name?: "RealESRGAN_x4plus.pth" | "RealESRGAN_x4plus_anime_6B.pth" | "ESRGAN_SRx4_DF2KOST_official-ff704c30.pth"; + }; /** * ResizeLatentsInvocation * @description Resizes latents to explicit width/height (in pixels). Provided dimensions are floor-divided by 8. @@ -4452,47 +4527,6 @@ export type components = { */ loras: (components["schemas"]["LoraInfo"])[]; }; - /** - * UpscaleInvocation - * @description Upscales an image. - */ - UpscaleInvocation: { - /** - * Id - * @description The id of this node. Must be unique among all nodes. - */ - id: string; - /** - * Is Intermediate - * @description Whether or not this node is an intermediate node. - * @default false - */ - is_intermediate?: boolean; - /** - * Type - * @default upscale - * @enum {string} - */ - type?: "upscale"; - /** - * Image - * @description The input image - */ - image?: components["schemas"]["ImageField"]; - /** - * Strength - * @description The strength - * @default 0.75 - */ - strength?: number; - /** - * Level - * @description The upscale level - * @default 2 - * @enum {integer} - */ - level?: 2 | 4; - }; /** * VAEModelField * @description Vae model field @@ -4619,18 +4653,18 @@ export type components = { */ image?: components["schemas"]["ImageField"]; }; - /** - * StableDiffusion1ModelFormat - * @description An enumeration. - * @enum {string} - */ - StableDiffusion1ModelFormat: "checkpoint" | "diffusers"; /** * StableDiffusion2ModelFormat * @description An enumeration. * @enum {string} */ StableDiffusion2ModelFormat: "checkpoint" | "diffusers"; + /** + * StableDiffusion1ModelFormat + * @description An enumeration. + * @enum {string} + */ + StableDiffusion1ModelFormat: "checkpoint" | "diffusers"; }; responses: never; parameters: never; @@ -4741,7 +4775,7 @@ export type operations = { }; requestBody: { content: { - "application/json": components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["UpscaleInvocation"] | components["schemas"]["RestoreFaceInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]; + "application/json": components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RealESRGANInvocation"] | components["schemas"]["RestoreFaceInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]; }; }; responses: { @@ -4778,7 +4812,7 @@ export type operations = { }; requestBody: { content: { - "application/json": components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["UpscaleInvocation"] | components["schemas"]["RestoreFaceInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]; + "application/json": components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RealESRGANInvocation"] | components["schemas"]["RestoreFaceInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]; }; }; responses: { @@ -4997,37 +5031,6 @@ export type operations = { }; }; }; - /** - * Import Model - * @description Add a model using its local path, repo_id, or remote URL - */ - import_model: { - requestBody: { - content: { - "application/json": components["schemas"]["Body_import_model"]; - }; - }; - responses: { - /** @description The model imported successfully */ - 201: { - content: { - "application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"]; - }; - }; - /** @description The model could not be found */ - 404: never; - /** @description There is already a model corresponding to this path or repo_id */ - 409: never; - /** @description Validation Error */ - 422: { - content: { - "application/json": components["schemas"]["HTTPValidationError"]; - }; - }; - /** @description The model appeared to import successfully, but could not be found in the model manager */ - 424: never; - }; - }; /** * Delete Model * @description Delete Model @@ -5044,12 +5047,6 @@ export type operations = { }; }; responses: { - /** @description Successful Response */ - 200: { - content: { - "application/json": unknown; - }; - }; /** @description Model deleted successfully */ 204: never; /** @description Model not found */ @@ -5079,14 +5076,14 @@ export type operations = { }; requestBody: { content: { - "application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"]; + "application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"]; }; }; responses: { /** @description The model was updated successfully */ 200: { content: { - "application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"]; + "application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"]; }; }; /** @description Bad request */ @@ -5101,12 +5098,118 @@ export type operations = { }; }; }; + /** + * Import Model + * @description Add a model using its local path, repo_id, or remote URL. Model characteristics will be probed and configured automatically + */ + import_model: { + requestBody: { + content: { + "application/json": components["schemas"]["Body_import_model"]; + }; + }; + responses: { + /** @description The model imported successfully */ + 201: { + content: { + "application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"]; + }; + }; + /** @description The model could not be found */ + 404: never; + /** @description There is already a model corresponding to this path or repo_id */ + 409: never; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + /** @description The model appeared to import successfully, but could not be found in the model manager */ + 424: never; + }; + }; + /** + * Add Model + * @description Add a model using the configuration information appropriate for its type. Only local models can be added by path + */ + add_model: { + requestBody: { + content: { + "application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"]; + }; + }; + responses: { + /** @description The model added successfully */ + 201: { + content: { + "application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"]; + }; + }; + /** @description The model could not be found */ + 404: never; + /** @description There is already a model corresponding to this path or repo_id */ + 409: never; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + /** @description The model appeared to add successfully, but could not be found in the model manager */ + 424: never; + }; + }; + /** + * Rename Model + * @description Rename a model + */ + rename_model: { + parameters: { + query?: { + /** @description new model name */ + new_name?: string; + /** @description new model base */ + new_base?: components["schemas"]["BaseModelType"]; + }; + path: { + /** @description Base model */ + base_model: components["schemas"]["BaseModelType"]; + /** @description The type of model */ + model_type: components["schemas"]["ModelType"]; + /** @description current model name */ + model_name: string; + }; + }; + responses: { + /** @description The model was renamed successfully */ + 201: { + content: { + "application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"]; + }; + }; + /** @description The model could not be found */ + 404: never; + /** @description There is already a model corresponding to the new name */ + 409: never; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; /** * Convert Model - * @description Convert a checkpoint model into a diffusers model + * @description Convert a checkpoint model into a diffusers model, optionally saving to the indicated destination directory, or `models` if none. */ convert_model: { parameters: { + query?: { + /** @description Save the converted model to the designated directory */ + convert_dest_directory?: string; + }; path: { /** @description Base model */ base_model: components["schemas"]["BaseModelType"]; @@ -5120,7 +5223,7 @@ export type operations = { /** @description Model converted successfully */ 200: { content: { - "application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"]; + "application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"]; }; }; /** @description Bad request */ @@ -5135,6 +5238,60 @@ export type operations = { }; }; }; + /** Search For Models */ + search_for_models: { + parameters: { + query: { + /** @description Directory path to search for models */ + search_path: string; + }; + }; + responses: { + /** @description Directory searched successfully */ + 200: { + content: { + "application/json": (string)[]; + }; + }; + /** @description Invalid directory path */ + 404: never; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; + /** + * List Ckpt Configs + * @description Return a list of the legacy checkpoint configuration files stored in `ROOT/configs/stable-diffusion`, relative to ROOT. + */ + list_ckpt_configs: { + responses: { + /** @description paths retrieved successfully */ + 200: { + content: { + "application/json": (string)[]; + }; + }; + }; + }; + /** + * Sync To Config + * @description Call after making changes to models.yaml, autoimport directories or models directory to synchronize + * in-memory data structures with disk data structures. + */ + sync_to_config: { + responses: { + /** @description synchronization successful */ + 201: { + content: { + "application/json": unknown; + }; + }; + }; + }; /** * Merge Models * @description Convert a checkpoint model into a diffusers model @@ -5155,7 +5312,7 @@ export type operations = { /** @description Model converted successfully */ 200: { content: { - "application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"]; + "application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"]; }; }; /** @description Incompatible models */ From c7b547ea3ee57a129a71dadef2cd71522a168331 Mon Sep 17 00:00:00 2001 From: psychedelicious <4822129+psychedelicious@users.noreply.github.com> Date: Sun, 16 Jul 2023 01:12:39 +1000 Subject: [PATCH 17/72] feat(nodes): remove references to restoration services - remove restoration services - remove the restore faces nodes - update tests --- invokeai/app/api/dependencies.py | 6 +- invokeai/app/cli_app.py | 2 - invokeai/app/invocations/reconstruct.py | 55 --------- invokeai/app/services/invocation_services.py | 4 - invokeai/app/services/restoration_services.py | 113 ------------------ tests/nodes/test_graph_execution_state.py | 1 - tests/nodes/test_invoker.py | 1 - tests/nodes/test_node_graph.py | 46 +++---- 8 files changed, 25 insertions(+), 203 deletions(-) delete mode 100644 invokeai/app/invocations/reconstruct.py delete mode 100644 invokeai/app/services/restoration_services.py diff --git a/invokeai/app/api/dependencies.py b/invokeai/app/api/dependencies.py index cb867354a5..649c8f7f18 100644 --- a/invokeai/app/api/dependencies.py +++ b/invokeai/app/api/dependencies.py @@ -20,7 +20,6 @@ from invokeai.version.invokeai_version import __version__ from ..services.default_graphs import create_system_graphs from ..services.latent_storage import DiskLatentsStorage, ForwardCacheLatentsStorage -from ..services.restoration_services import RestorationServices from ..services.graph import GraphExecutionState, LibraryGraph from ..services.image_file_storage import DiskImageFileStorage from ..services.invocation_queue import MemoryInvocationQueue @@ -58,7 +57,7 @@ class ApiDependencies: @staticmethod def initialize(config, event_handler_id: int, logger: Logger = logger): - logger.debug(f'InvokeAI version {__version__}') + logger.debug(f"InvokeAI version {__version__}") logger.debug(f"Internet connectivity is {config.internet_available}") events = FastAPIEventService(event_handler_id) @@ -117,7 +116,7 @@ class ApiDependencies: ) services = InvocationServices( - model_manager=ModelManagerService(config,logger), + model_manager=ModelManagerService(config, logger), events=events, latents=latents, images=images, @@ -129,7 +128,6 @@ class ApiDependencies: ), graph_execution_manager=graph_execution_manager, processor=DefaultInvocationProcessor(), - restoration=RestorationServices(config, logger), configuration=config, logger=logger, ) diff --git a/invokeai/app/cli_app.py b/invokeai/app/cli_app.py index 888d36c4bf..c88cefe2eb 100644 --- a/invokeai/app/cli_app.py +++ b/invokeai/app/cli_app.py @@ -54,7 +54,6 @@ from .services.invocation_services import InvocationServices from .services.invoker import Invoker from .services.model_manager_service import ModelManagerService from .services.processor import DefaultInvocationProcessor -from .services.restoration_services import RestorationServices from .services.sqlite import SqliteItemStorage import torch @@ -295,7 +294,6 @@ def invoke_cli(): ), graph_execution_manager=graph_execution_manager, processor=DefaultInvocationProcessor(), - restoration=RestorationServices(config,logger=logger), logger=logger, configuration=config, ) diff --git a/invokeai/app/invocations/reconstruct.py b/invokeai/app/invocations/reconstruct.py deleted file mode 100644 index 84ace2eefe..0000000000 --- a/invokeai/app/invocations/reconstruct.py +++ /dev/null @@ -1,55 +0,0 @@ -from typing import Literal, Optional - -from pydantic import Field - -from invokeai.app.models.image import ImageCategory, ImageField, ResourceOrigin - -from .baseinvocation import BaseInvocation, InvocationContext, InvocationConfig -from .image import ImageOutput - - -class RestoreFaceInvocation(BaseInvocation): - """Restores faces in an image.""" - - # fmt: off - type: Literal["restore_face"] = "restore_face" - - # Inputs - image: Optional[ImageField] = Field(description="The input image") - strength: float = Field(default=0.75, gt=0, le=1, description="The strength of the restoration" ) - # fmt: on - - # Schema customisation - class Config(InvocationConfig): - schema_extra = { - "ui": { - "tags": ["restoration", "image"], - }, - } - - def invoke(self, context: InvocationContext) -> ImageOutput: - image = context.services.images.get_pil_image(self.image.image_name) - results = context.services.restoration.upscale_and_reconstruct( - image_list=[[image, 0]], - upscale=None, - strength=self.strength, # GFPGAN strength - save_original=False, - image_callback=None, - ) - - # Results are image and seed, unwrap for now - # TODO: can this return multiple results? - image_dto = context.services.images.create( - image=results[0][0], - image_origin=ResourceOrigin.INTERNAL, - image_category=ImageCategory.GENERAL, - node_id=self.id, - session_id=context.graph_execution_state_id, - is_intermediate=self.is_intermediate, - ) - - return ImageOutput( - image=ImageField(image_name=image_dto.image_name), - width=image_dto.width, - height=image_dto.height, - ) diff --git a/invokeai/app/services/invocation_services.py b/invokeai/app/services/invocation_services.py index 4e1da3b040..2f45863bc6 100644 --- a/invokeai/app/services/invocation_services.py +++ b/invokeai/app/services/invocation_services.py @@ -10,7 +10,6 @@ if TYPE_CHECKING: from invokeai.app.services.model_manager_service import ModelManagerServiceBase from invokeai.app.services.events import EventServiceBase from invokeai.app.services.latent_storage import LatentsStorageBase - from invokeai.app.services.restoration_services import RestorationServices from invokeai.app.services.invocation_queue import InvocationQueueABC from invokeai.app.services.item_storage import ItemStorageABC from invokeai.app.services.config import InvokeAISettings @@ -34,7 +33,6 @@ class InvocationServices: model_manager: "ModelManagerServiceBase" processor: "InvocationProcessorABC" queue: "InvocationQueueABC" - restoration: "RestorationServices" def __init__( self, @@ -50,7 +48,6 @@ class InvocationServices: model_manager: "ModelManagerServiceBase", processor: "InvocationProcessorABC", queue: "InvocationQueueABC", - restoration: "RestorationServices", ): self.board_images = board_images self.boards = boards @@ -65,4 +62,3 @@ class InvocationServices: self.model_manager = model_manager self.processor = processor self.queue = queue - self.restoration = restoration diff --git a/invokeai/app/services/restoration_services.py b/invokeai/app/services/restoration_services.py deleted file mode 100644 index 5ff0195ca5..0000000000 --- a/invokeai/app/services/restoration_services.py +++ /dev/null @@ -1,113 +0,0 @@ -import sys -import traceback -import torch -from typing import types -from ...backend.restoration import Restoration -from ...backend.util import choose_torch_device, CPU_DEVICE, MPS_DEVICE - -# This should be a real base class for postprocessing functions, -# but right now we just instantiate the existing gfpgan, esrgan -# and codeformer functions. -class RestorationServices: - '''Face restoration and upscaling''' - - def __init__(self,args,logger:types.ModuleType): - try: - gfpgan, codeformer, esrgan = None, None, None - if args.restore or args.esrgan: - restoration = Restoration() - # TODO: redo for new model structure - if False and args.restore: - gfpgan, codeformer = restoration.load_face_restore_models( - args.gfpgan_model_path - ) - else: - logger.info("Face restoration disabled") - if False and args.esrgan: - esrgan = restoration.load_esrgan(args.esrgan_bg_tile) - else: - logger.info("Upscaling disabled") - else: - logger.info("Face restoration and upscaling disabled") - except (ModuleNotFoundError, ImportError): - print(traceback.format_exc(), file=sys.stderr) - logger.info("You may need to install the ESRGAN and/or GFPGAN modules") - self.device = torch.device(choose_torch_device()) - self.gfpgan = gfpgan - self.codeformer = codeformer - self.esrgan = esrgan - self.logger = logger - self.logger.info('Face restoration initialized') - - # note that this one method does gfpgan and codepath reconstruction, as well as - # esrgan upscaling - # TO DO: refactor into separate methods - def upscale_and_reconstruct( - self, - image_list, - facetool="gfpgan", - upscale=None, - upscale_denoise_str=0.75, - strength=0.0, - codeformer_fidelity=0.75, - save_original=False, - image_callback=None, - prefix=None, - ): - results = [] - for r in image_list: - image, seed = r - try: - if strength > 0: - if self.gfpgan is not None or self.codeformer is not None: - if facetool == "gfpgan": - if self.gfpgan is None: - self.logger.info( - "GFPGAN not found. Face restoration is disabled." - ) - else: - image = self.gfpgan.process(image, strength, seed) - if facetool == "codeformer": - if self.codeformer is None: - self.logger.info( - "CodeFormer not found. Face restoration is disabled." - ) - else: - cf_device = ( - CPU_DEVICE if self.device == MPS_DEVICE else self.device - ) - image = self.codeformer.process( - image=image, - strength=strength, - device=cf_device, - seed=seed, - fidelity=codeformer_fidelity, - ) - else: - self.logger.info("Face Restoration is disabled.") - if upscale is not None: - if self.esrgan is not None: - if len(upscale) < 2: - upscale.append(0.75) - image = self.esrgan.process( - image, - upscale[1], - seed, - int(upscale[0]), - denoise_str=upscale_denoise_str, - ) - else: - self.logger.info("ESRGAN is disabled. Image not upscaled.") - except Exception as e: - self.logger.info( - f"Error running RealESRGAN or GFPGAN. Your image was not upscaled.\n{e}" - ) - - if image_callback is not None: - image_callback(image, seed, upscaled=True, use_prefix=prefix) - else: - r[0] = image - - results.append([image, seed]) - - return results diff --git a/tests/nodes/test_graph_execution_state.py b/tests/nodes/test_graph_execution_state.py index f34b18310b..bc4a3f4176 100644 --- a/tests/nodes/test_graph_execution_state.py +++ b/tests/nodes/test_graph_execution_state.py @@ -55,7 +55,6 @@ def mock_services() -> InvocationServices: ), graph_execution_manager = SqliteItemStorage[GraphExecutionState](filename = sqlite_memory, table_name = 'graph_executions'), processor = DefaultInvocationProcessor(), - restoration = None, # type: ignore configuration = None, # type: ignore ) diff --git a/tests/nodes/test_invoker.py b/tests/nodes/test_invoker.py index 19d7dd20b3..4741e7f58b 100644 --- a/tests/nodes/test_invoker.py +++ b/tests/nodes/test_invoker.py @@ -48,7 +48,6 @@ def mock_services() -> InvocationServices: ), graph_execution_manager = SqliteItemStorage[GraphExecutionState](filename = sqlite_memory, table_name = 'graph_executions'), processor = DefaultInvocationProcessor(), - restoration = None, # type: ignore configuration = None, # type: ignore ) diff --git a/tests/nodes/test_node_graph.py b/tests/nodes/test_node_graph.py index df7378150d..c86be19059 100644 --- a/tests/nodes/test_node_graph.py +++ b/tests/nodes/test_node_graph.py @@ -1,6 +1,6 @@ from .test_nodes import ImageToImageTestInvocation, TextToImageTestInvocation, ListPassThroughInvocation, PromptTestInvocation from invokeai.app.services.graph import Edge, Graph, GraphInvocation, InvalidEdgeError, NodeAlreadyInGraphError, NodeNotFoundError, are_connections_compatible, EdgeConnection, CollectInvocation, IterateInvocation -from invokeai.app.invocations.upscale import UpscaleInvocation +from invokeai.app.invocations.upscale import RealESRGANInvocation from invokeai.app.invocations.image import * from invokeai.app.invocations.math import AddInvocation, SubtractInvocation from invokeai.app.invocations.params import ParamIntInvocation @@ -19,7 +19,7 @@ def create_edge(from_id: str, from_field: str, to_id: str, to_field: str) -> Edg def test_connections_are_compatible(): from_node = TextToImageTestInvocation(id = "1", prompt = "Banana sushi") from_field = "image" - to_node = UpscaleInvocation(id = "2") + to_node = RealESRGANInvocation(id = "2") to_field = "image" result = are_connections_compatible(from_node, from_field, to_node, to_field) @@ -29,7 +29,7 @@ def test_connections_are_compatible(): def test_connections_are_incompatible(): from_node = TextToImageTestInvocation(id = "1", prompt = "Banana sushi") from_field = "image" - to_node = UpscaleInvocation(id = "2") + to_node = RealESRGANInvocation(id = "2") to_field = "strength" result = are_connections_compatible(from_node, from_field, to_node, to_field) @@ -39,7 +39,7 @@ def test_connections_are_incompatible(): def test_connections_incompatible_with_invalid_fields(): from_node = TextToImageTestInvocation(id = "1", prompt = "Banana sushi") from_field = "invalid_field" - to_node = UpscaleInvocation(id = "2") + to_node = RealESRGANInvocation(id = "2") to_field = "image" # From field is invalid @@ -86,10 +86,10 @@ def test_graph_fails_to_update_node_if_type_changes(): g = Graph() n = TextToImageTestInvocation(id = "1", prompt = "Banana sushi") g.add_node(n) - n2 = UpscaleInvocation(id = "2") + n2 = RealESRGANInvocation(id = "2") g.add_node(n2) - nu = UpscaleInvocation(id = "1") + nu = RealESRGANInvocation(id = "1") with pytest.raises(TypeError): g.update_node("1", nu) @@ -98,7 +98,7 @@ def test_graph_allows_non_conflicting_id_change(): g = Graph() n = TextToImageTestInvocation(id = "1", prompt = "Banana sushi") g.add_node(n) - n2 = UpscaleInvocation(id = "2") + n2 = RealESRGANInvocation(id = "2") g.add_node(n2) e1 = create_edge(n.id,"image",n2.id,"image") g.add_edge(e1) @@ -128,7 +128,7 @@ def test_graph_fails_to_update_node_id_if_conflict(): def test_graph_adds_edge(): g = Graph() n1 = TextToImageTestInvocation(id = "1", prompt = "Banana sushi") - n2 = UpscaleInvocation(id = "2") + n2 = RealESRGANInvocation(id = "2") g.add_node(n1) g.add_node(n2) e = create_edge(n1.id,"image",n2.id,"image") @@ -139,7 +139,7 @@ def test_graph_adds_edge(): def test_graph_fails_to_add_edge_with_cycle(): g = Graph() - n1 = UpscaleInvocation(id = "1") + n1 = RealESRGANInvocation(id = "1") g.add_node(n1) e = create_edge(n1.id,"image",n1.id,"image") with pytest.raises(InvalidEdgeError): @@ -148,8 +148,8 @@ def test_graph_fails_to_add_edge_with_cycle(): def test_graph_fails_to_add_edge_with_long_cycle(): g = Graph() n1 = TextToImageTestInvocation(id = "1", prompt = "Banana sushi") - n2 = UpscaleInvocation(id = "2") - n3 = UpscaleInvocation(id = "3") + n2 = RealESRGANInvocation(id = "2") + n3 = RealESRGANInvocation(id = "3") g.add_node(n1) g.add_node(n2) g.add_node(n3) @@ -164,7 +164,7 @@ def test_graph_fails_to_add_edge_with_long_cycle(): def test_graph_fails_to_add_edge_with_missing_node_id(): g = Graph() n1 = TextToImageTestInvocation(id = "1", prompt = "Banana sushi") - n2 = UpscaleInvocation(id = "2") + n2 = RealESRGANInvocation(id = "2") g.add_node(n1) g.add_node(n2) e1 = create_edge("1","image","3","image") @@ -177,8 +177,8 @@ def test_graph_fails_to_add_edge_with_missing_node_id(): def test_graph_fails_to_add_edge_when_destination_exists(): g = Graph() n1 = TextToImageTestInvocation(id = "1", prompt = "Banana sushi") - n2 = UpscaleInvocation(id = "2") - n3 = UpscaleInvocation(id = "3") + n2 = RealESRGANInvocation(id = "2") + n3 = RealESRGANInvocation(id = "3") g.add_node(n1) g.add_node(n2) g.add_node(n3) @@ -194,7 +194,7 @@ def test_graph_fails_to_add_edge_when_destination_exists(): def test_graph_fails_to_add_edge_with_mismatched_types(): g = Graph() n1 = TextToImageTestInvocation(id = "1", prompt = "Banana sushi") - n2 = UpscaleInvocation(id = "2") + n2 = RealESRGANInvocation(id = "2") g.add_node(n1) g.add_node(n2) e1 = create_edge("1","image","2","strength") @@ -344,7 +344,7 @@ def test_graph_iterator_invalid_if_output_and_input_types_different(): def test_graph_validates(): g = Graph() n1 = TextToImageTestInvocation(id = "1", prompt = "Banana sushi") - n2 = UpscaleInvocation(id = "2") + n2 = RealESRGANInvocation(id = "2") g.add_node(n1) g.add_node(n2) e1 = create_edge("1","image","2","image") @@ -377,8 +377,8 @@ def test_graph_invalid_if_subgraph_invalid(): def test_graph_invalid_if_has_cycle(): g = Graph() - n1 = UpscaleInvocation(id = "1") - n2 = UpscaleInvocation(id = "2") + n1 = RealESRGANInvocation(id = "1") + n2 = RealESRGANInvocation(id = "2") g.nodes[n1.id] = n1 g.nodes[n2.id] = n2 e1 = create_edge("1","image","2","image") @@ -391,7 +391,7 @@ def test_graph_invalid_if_has_cycle(): def test_graph_invalid_with_invalid_connection(): g = Graph() n1 = TextToImageTestInvocation(id = "1", prompt = "Banana sushi") - n2 = UpscaleInvocation(id = "2") + n2 = RealESRGANInvocation(id = "2") g.nodes[n1.id] = n1 g.nodes[n2.id] = n2 e1 = create_edge("1","image","2","strength") @@ -503,7 +503,7 @@ def test_graph_fails_to_enumerate_non_subgraph_node(): g.add_node(n1) - n2 = UpscaleInvocation(id = "2") + n2 = RealESRGANInvocation(id = "2") g.add_node(n2) with pytest.raises(NodeNotFoundError): @@ -512,7 +512,7 @@ def test_graph_fails_to_enumerate_non_subgraph_node(): def test_graph_gets_networkx_graph(): g = Graph() n1 = TextToImageTestInvocation(id = "1", prompt = "Banana sushi") - n2 = UpscaleInvocation(id = "2") + n2 = RealESRGANInvocation(id = "2") g.add_node(n1) g.add_node(n2) e = create_edge(n1.id,"image",n2.id,"image") @@ -529,7 +529,7 @@ def test_graph_gets_networkx_graph(): def test_graph_can_serialize(): g = Graph() n1 = TextToImageTestInvocation(id = "1", prompt = "Banana sushi") - n2 = UpscaleInvocation(id = "2") + n2 = RealESRGANInvocation(id = "2") g.add_node(n1) g.add_node(n2) e = create_edge(n1.id,"image",n2.id,"image") @@ -541,7 +541,7 @@ def test_graph_can_serialize(): def test_graph_can_deserialize(): g = Graph() n1 = TextToImageTestInvocation(id = "1", prompt = "Banana sushi") - n2 = UpscaleInvocation(id = "2") + n2 = RealESRGANInvocation(id = "2") g.add_node(n1) g.add_node(n2) e = create_edge(n1.id,"image",n2.id,"image") From 7b6159f8d65a3876ef7ecc8e8a31dacf9a50d213 Mon Sep 17 00:00:00 2001 From: psychedelicious <4822129+psychedelicious@users.noreply.github.com> Date: Sun, 16 Jul 2023 02:12:01 +1000 Subject: [PATCH 18/72] feat(nodes): emit model loading events - remove dependency on having access to a `node` during emits, would need a bit of additional args passed through the system and I don't think its necessary at this point. this also allowed us to drop an extraneous fetching/parsing of the session from db. - provide the invocation context to all `get_model()` calls, so the events are able to be emitted - test all model loading events in the app and confirm socket events are received --- invokeai/app/invocations/latent.py | 15 +++++++------- invokeai/app/services/events.py | 12 +++-------- .../app/services/model_manager_service.py | 20 +++++-------------- 3 files changed, 16 insertions(+), 31 deletions(-) diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py index baf78c7c23..f9844c5932 100644 --- a/invokeai/app/invocations/latent.py +++ b/invokeai/app/invocations/latent.py @@ -76,7 +76,7 @@ def get_scheduler( scheduler_name, SCHEDULER_MAP['ddim'] ) orig_scheduler_info = context.services.model_manager.get_model( - **scheduler_info.dict() + **scheduler_info.dict(), context=context, ) with orig_scheduler_info as orig_scheduler: scheduler_config = orig_scheduler.config @@ -262,6 +262,7 @@ class TextToLatentsInvocation(BaseInvocation): model_name=control_info.control_model.model_name, model_type=ModelType.ControlNet, base_model=control_info.control_model.base_model, + context=context, ) ) @@ -313,14 +314,14 @@ class TextToLatentsInvocation(BaseInvocation): def _lora_loader(): for lora in self.unet.loras: lora_info = context.services.model_manager.get_model( - **lora.dict(exclude={"weight"}) + **lora.dict(exclude={"weight"}), context=context, ) yield (lora_info.context.model, lora.weight) del lora_info return unet_info = context.services.model_manager.get_model( - **self.unet.unet.dict() + **self.unet.unet.dict(), context=context, ) with ExitStack() as exit_stack,\ ModelPatcher.apply_lora_unet(unet_info.context.model, _lora_loader()),\ @@ -403,14 +404,14 @@ class LatentsToLatentsInvocation(TextToLatentsInvocation): def _lora_loader(): for lora in self.unet.loras: lora_info = context.services.model_manager.get_model( - **lora.dict(exclude={"weight"}) + **lora.dict(exclude={"weight"}), context=context, ) yield (lora_info.context.model, lora.weight) del lora_info return unet_info = context.services.model_manager.get_model( - **self.unet.unet.dict() + **self.unet.unet.dict(), context=context, ) with ExitStack() as exit_stack,\ ModelPatcher.apply_lora_unet(unet_info.context.model, _lora_loader()),\ @@ -491,7 +492,7 @@ class LatentsToImageInvocation(BaseInvocation): latents = context.services.latents.get(self.latents.latents_name) vae_info = context.services.model_manager.get_model( - **self.vae.vae.dict(), + **self.vae.vae.dict(), context=context, ) with vae_info as vae: @@ -636,7 +637,7 @@ class ImageToLatentsInvocation(BaseInvocation): #vae_info = context.services.model_manager.get_model(**self.vae.vae.dict()) vae_info = context.services.model_manager.get_model( - **self.vae.vae.dict(), + **self.vae.vae.dict(), context=context, ) image_tensor = image_resized_to_grid_as_tensor(image.convert("RGB")) diff --git a/invokeai/app/services/events.py b/invokeai/app/services/events.py index 6c516c9b74..30d1b5e7a9 100644 --- a/invokeai/app/services/events.py +++ b/invokeai/app/services/events.py @@ -105,8 +105,6 @@ class EventServiceBase: def emit_model_load_started ( self, graph_execution_state_id: str, - node: dict, - source_node_id: str, model_name: str, base_model: BaseModelType, model_type: ModelType, @@ -117,8 +115,6 @@ class EventServiceBase: event_name="model_load_started", payload=dict( graph_execution_state_id=graph_execution_state_id, - node=node, - source_node_id=source_node_id, model_name=model_name, base_model=base_model, model_type=model_type, @@ -129,8 +125,6 @@ class EventServiceBase: def emit_model_load_completed( self, graph_execution_state_id: str, - node: dict, - source_node_id: str, model_name: str, base_model: BaseModelType, model_type: ModelType, @@ -142,12 +136,12 @@ class EventServiceBase: event_name="model_load_completed", payload=dict( graph_execution_state_id=graph_execution_state_id, - node=node, - source_node_id=source_node_id, model_name=model_name, base_model=base_model, model_type=model_type, submodel=submodel, - model_info=model_info, + hash=model_info.hash, + location=model_info.location, + precision=str(model_info.precision), ), ) diff --git a/invokeai/app/services/model_manager_service.py b/invokeai/app/services/model_manager_service.py index 67db5c9478..51ba1199fb 100644 --- a/invokeai/app/services/model_manager_service.py +++ b/invokeai/app/services/model_manager_service.py @@ -338,7 +338,6 @@ class ModelManagerService(ModelManagerServiceBase): base_model: BaseModelType, model_type: ModelType, submodel: Optional[SubModelType] = None, - node: Optional[BaseInvocation] = None, context: Optional[InvocationContext] = None, ) -> ModelInfo: """ @@ -346,11 +345,9 @@ class ModelManagerService(ModelManagerServiceBase): part (such as the vae) of a diffusers mode. """ - # if we are called from within a node, then we get to emit - # load start and complete events - if node and context: + # we can emit model loading events if we are executing with access to the invocation context + if context: self._emit_load_event( - node=node, context=context, model_name=model_name, base_model=base_model, @@ -365,9 +362,8 @@ class ModelManagerService(ModelManagerServiceBase): submodel, ) - if node and context: + if context: self._emit_load_event( - node=node, context=context, model_name=model_name, base_model=base_model, @@ -509,23 +505,19 @@ class ModelManagerService(ModelManagerServiceBase): def _emit_load_event( self, - node, context, model_name: str, base_model: BaseModelType, model_type: ModelType, - submodel: SubModelType, + submodel: Optional[SubModelType] = None, model_info: Optional[ModelInfo] = None, ): if context.services.queue.is_canceled(context.graph_execution_state_id): raise CanceledException() - graph_execution_state = context.services.graph_execution_manager.get(context.graph_execution_state_id) - source_node_id = graph_execution_state.prepared_source_mapping[node.id] + if model_info: context.services.events.emit_model_load_completed( graph_execution_state_id=context.graph_execution_state_id, - node=node.dict(), - source_node_id=source_node_id, model_name=model_name, base_model=base_model, model_type=model_type, @@ -535,8 +527,6 @@ class ModelManagerService(ModelManagerServiceBase): else: context.services.events.emit_model_load_started( graph_execution_state_id=context.graph_execution_state_id, - node=node.dict(), - source_node_id=source_node_id, model_name=model_name, base_model=base_model, model_type=model_type, From c487166d9ca0b868ee39125a53e010aa62ed7777 Mon Sep 17 00:00:00 2001 From: psychedelicious <4822129+psychedelicious@users.noreply.github.com> Date: Sun, 16 Jul 2023 02:26:30 +1000 Subject: [PATCH 19/72] feat(ui): add listeners for model load events - currently only exposed as DEBUG-level logs --- .../middleware/listenerMiddleware/index.ts | 4 +++ .../socketio/socketModelLoadCompleted.ts | 28 +++++++++++++++ .../socketio/socketModelLoadStarted.ts | 28 +++++++++++++++ .../frontend/web/src/services/api/types.d.ts | 1 + .../web/src/services/events/actions.ts | 34 +++++++++++++++++++ .../frontend/web/src/services/events/types.ts | 29 +++++++++++++++- .../services/events/util/setEventListeners.ts | 28 ++++++++++++++- 7 files changed, 150 insertions(+), 2 deletions(-) create mode 100644 invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketModelLoadCompleted.ts create mode 100644 invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketModelLoadStarted.ts diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts index edeb156439..94044d3cc5 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts @@ -88,6 +88,8 @@ import { addUserInvokedCanvasListener } from './listeners/userInvokedCanvas'; import { addUserInvokedImageToImageListener } from './listeners/userInvokedImageToImage'; import { addUserInvokedNodesListener } from './listeners/userInvokedNodes'; import { addUserInvokedTextToImageListener } from './listeners/userInvokedTextToImage'; +import { addModelLoadStartedEventListener } from './listeners/socketio/socketModelLoadStarted'; +import { addModelLoadCompletedEventListener } from './listeners/socketio/socketModelLoadCompleted'; export const listenerMiddleware = createListenerMiddleware(); @@ -177,6 +179,8 @@ addSocketConnectedListener(); addSocketDisconnectedListener(); addSocketSubscribedListener(); addSocketUnsubscribedListener(); +addModelLoadStartedEventListener(); +addModelLoadCompletedEventListener(); // Session Created addSessionCreatedPendingListener(); diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketModelLoadCompleted.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketModelLoadCompleted.ts new file mode 100644 index 0000000000..bc533b9178 --- /dev/null +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketModelLoadCompleted.ts @@ -0,0 +1,28 @@ +import { log } from 'app/logging/useLogger'; +import { + appSocketModelLoadCompleted, + socketModelLoadCompleted, +} from 'services/events/actions'; +import { startAppListening } from '../..'; + +const moduleLog = log.child({ namespace: 'socketio' }); + +export const addModelLoadCompletedEventListener = () => { + startAppListening({ + actionCreator: socketModelLoadCompleted, + effect: (action, { dispatch, getState }) => { + const { model_name, model_type, submodel } = action.payload.data; + + let modelString = `${model_type} model: ${model_name}`; + + if (submodel) { + modelString = modelString.concat(`, submodel: ${submodel}`); + } + + moduleLog.debug(action.payload, `Model load completed (${modelString})`); + + // pass along the socket event as an application action + dispatch(appSocketModelLoadCompleted(action.payload)); + }, + }); +}; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketModelLoadStarted.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketModelLoadStarted.ts new file mode 100644 index 0000000000..aa53a70cee --- /dev/null +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketModelLoadStarted.ts @@ -0,0 +1,28 @@ +import { log } from 'app/logging/useLogger'; +import { + appSocketModelLoadStarted, + socketModelLoadStarted, +} from 'services/events/actions'; +import { startAppListening } from '../..'; + +const moduleLog = log.child({ namespace: 'socketio' }); + +export const addModelLoadStartedEventListener = () => { + startAppListening({ + actionCreator: socketModelLoadStarted, + effect: (action, { dispatch, getState }) => { + const { model_name, model_type, submodel } = action.payload.data; + + let modelString = `${model_type} model: ${model_name}`; + + if (submodel) { + modelString = modelString.concat(`, submodel: ${submodel}`); + } + + moduleLog.debug(action.payload, `Model load started (${modelString})`); + + // pass along the socket event as an application action + dispatch(appSocketModelLoadStarted(action.payload)); + }, + }); +}; diff --git a/invokeai/frontend/web/src/services/api/types.d.ts b/invokeai/frontend/web/src/services/api/types.d.ts index 37faae592f..dce7f5c28b 100644 --- a/invokeai/frontend/web/src/services/api/types.d.ts +++ b/invokeai/frontend/web/src/services/api/types.d.ts @@ -28,6 +28,7 @@ export type OffsetPaginatedResults_ImageDTO_ = // Models export type ModelType = components['schemas']['ModelType']; +export type SubModelType = components['schemas']['SubModelType']; export type BaseModelType = components['schemas']['BaseModelType']; export type MainModelField = components['schemas']['MainModelField']; export type VAEModelField = components['schemas']['VAEModelField']; diff --git a/invokeai/frontend/web/src/services/events/actions.ts b/invokeai/frontend/web/src/services/events/actions.ts index ed154b9cd8..cb2d665748 100644 --- a/invokeai/frontend/web/src/services/events/actions.ts +++ b/invokeai/frontend/web/src/services/events/actions.ts @@ -5,6 +5,8 @@ import { InvocationCompleteEvent, InvocationErrorEvent, InvocationStartedEvent, + ModelLoadCompletedEvent, + ModelLoadStartedEvent, } from 'services/events/types'; // Common socket action payload data @@ -162,3 +164,35 @@ export const socketGeneratorProgress = createAction< export const appSocketGeneratorProgress = createAction< BaseSocketPayload & { data: GeneratorProgressEvent } >('socket/appSocketGeneratorProgress'); + +/** + * Socket.IO Model Load Started + * + * Do not use. Only for use in middleware. + */ +export const socketModelLoadStarted = createAction< + BaseSocketPayload & { data: ModelLoadStartedEvent } +>('socket/socketModelLoadStarted'); + +/** + * App-level Model Load Started + */ +export const appSocketModelLoadStarted = createAction< + BaseSocketPayload & { data: ModelLoadStartedEvent } +>('socket/appSocketModelLoadStarted'); + +/** + * Socket.IO Model Load Started + * + * Do not use. Only for use in middleware. + */ +export const socketModelLoadCompleted = createAction< + BaseSocketPayload & { data: ModelLoadCompletedEvent } +>('socket/socketModelLoadCompleted'); + +/** + * App-level Model Load Completed + */ +export const appSocketModelLoadCompleted = createAction< + BaseSocketPayload & { data: ModelLoadCompletedEvent } +>('socket/appSocketModelLoadCompleted'); diff --git a/invokeai/frontend/web/src/services/events/types.ts b/invokeai/frontend/web/src/services/events/types.ts index f589fdd6cc..ec1b55e3fe 100644 --- a/invokeai/frontend/web/src/services/events/types.ts +++ b/invokeai/frontend/web/src/services/events/types.ts @@ -1,5 +1,11 @@ import { O } from 'ts-toolbelt'; -import { Graph, GraphExecutionState } from '../api/types'; +import { + BaseModelType, + Graph, + GraphExecutionState, + ModelType, + SubModelType, +} from '../api/types'; /** * A progress image, we get one for each step in the generation @@ -25,6 +31,25 @@ export type BaseNode = { [key: string]: AnyInvocation[keyof AnyInvocation]; }; +export type ModelLoadStartedEvent = { + graph_execution_state_id: string; + model_name: string; + base_model: BaseModelType; + model_type: ModelType; + submodel: SubModelType; +}; + +export type ModelLoadCompletedEvent = { + graph_execution_state_id: string; + model_name: string; + base_model: BaseModelType; + model_type: ModelType; + submodel: SubModelType; + hash?: string; + location: string; + precision: string; +}; + /** * A `generator_progress` socket.io event. * @@ -101,6 +126,8 @@ export type ServerToClientEvents = { graph_execution_state_complete: ( payload: GraphExecutionStateCompleteEvent ) => void; + model_load_started: (payload: ModelLoadStartedEvent) => void; + model_load_completed: (payload: ModelLoadCompletedEvent) => void; }; export type ClientToServerEvents = { diff --git a/invokeai/frontend/web/src/services/events/util/setEventListeners.ts b/invokeai/frontend/web/src/services/events/util/setEventListeners.ts index 62b5864185..44d3301556 100644 --- a/invokeai/frontend/web/src/services/events/util/setEventListeners.ts +++ b/invokeai/frontend/web/src/services/events/util/setEventListeners.ts @@ -11,6 +11,8 @@ import { socketConnected, socketDisconnected, socketSubscribed, + socketModelLoadStarted, + socketModelLoadCompleted, } from '../actions'; import { ClientToServerEvents, ServerToClientEvents } from '../types'; import { Logger } from 'roarr'; @@ -44,7 +46,7 @@ export const setEventListeners = (arg: SetEventListenersArg) => { socketSubscribed({ sessionId, timestamp: getTimestamp(), - boardId: getState().boards.selectedBoardId, + boardId: getState().gallery.selectedBoardId, }) ); } @@ -118,4 +120,28 @@ export const setEventListeners = (arg: SetEventListenersArg) => { }) ); }); + + /** + * Model load started + */ + socket.on('model_load_started', (data) => { + dispatch( + socketModelLoadStarted({ + data, + timestamp: getTimestamp(), + }) + ); + }); + + /** + * Model load completed + */ + socket.on('model_load_completed', (data) => { + dispatch( + socketModelLoadCompleted({ + data, + timestamp: getTimestamp(), + }) + ); + }); }; From c90345d6a3374844f503d3d54426ac563248937a Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Sat, 15 Jul 2023 18:23:32 -0400 Subject: [PATCH 20/72] deprecate the face restoration option --- invokeai/app/services/config.py | 2 +- invokeai/backend/restoration/__init__.py | 4 - invokeai/backend/restoration/base.py | 45 -- invokeai/backend/restoration/codeformer.py | 120 ---- .../backend/restoration/codeformer_arch.py | 325 ----------- invokeai/backend/restoration/gfpgan.py | 84 --- invokeai/backend/restoration/outcrop.py | 118 ---- invokeai/backend/restoration/outpaint.py | 102 ---- invokeai/backend/restoration/realesrgan.py | 104 ---- invokeai/backend/restoration/vqgan_arch.py | 514 ------------------ 10 files changed, 1 insertion(+), 1417 deletions(-) delete mode 100644 invokeai/backend/restoration/__init__.py delete mode 100644 invokeai/backend/restoration/base.py delete mode 100644 invokeai/backend/restoration/codeformer.py delete mode 100644 invokeai/backend/restoration/codeformer_arch.py delete mode 100644 invokeai/backend/restoration/gfpgan.py delete mode 100644 invokeai/backend/restoration/outcrop.py delete mode 100644 invokeai/backend/restoration/outpaint.py delete mode 100644 invokeai/backend/restoration/realesrgan.py delete mode 100644 invokeai/backend/restoration/vqgan_arch.py diff --git a/invokeai/app/services/config.py b/invokeai/app/services/config.py index 6d27c013f1..1ab2cf9beb 100644 --- a/invokeai/app/services/config.py +++ b/invokeai/app/services/config.py @@ -361,7 +361,7 @@ setting environment variables INVOKEAI_. log_tokenization : bool = Field(default=False, description="Enable logging of parsed prompt tokens.", category='Features') nsfw_checker : bool = Field(default=True, description="Enable/disable the NSFW checker", category='Features') patchmatch : bool = Field(default=True, description="Enable/disable patchmatch inpaint code", category='Features') - restore : bool = Field(default=True, description="Enable/disable face restoration code", category='Features') + restore : bool = Field(default=True, description="Enable/disable face restoration code (DEPRECATED)", category='DEPRECATED') always_use_cpu : bool = Field(default=False, description="If true, use the CPU for rendering even if a GPU is available.", category='Memory/Performance') free_gpu_mem : bool = Field(default=False, description="If true, purge model from GPU after each generation.", category='Memory/Performance') diff --git a/invokeai/backend/restoration/__init__.py b/invokeai/backend/restoration/__init__.py deleted file mode 100644 index 165ef080b3..0000000000 --- a/invokeai/backend/restoration/__init__.py +++ /dev/null @@ -1,4 +0,0 @@ -""" -Initialization file for the invokeai.backend.restoration package -""" -from .base import Restoration diff --git a/invokeai/backend/restoration/base.py b/invokeai/backend/restoration/base.py deleted file mode 100644 index 956f99cf16..0000000000 --- a/invokeai/backend/restoration/base.py +++ /dev/null @@ -1,45 +0,0 @@ -import invokeai.backend.util.logging as logger - -class Restoration: - def __init__(self) -> None: - pass - - def load_face_restore_models( - self, gfpgan_model_path="./models/core/face_restoration/gfpgan/GFPGANv1.4.pth" - ): - # Load GFPGAN - gfpgan = self.load_gfpgan(gfpgan_model_path) - if gfpgan.gfpgan_model_exists: - logger.info("GFPGAN Initialized") - else: - logger.info("GFPGAN Disabled") - gfpgan = None - - # Load CodeFormer - codeformer = self.load_codeformer() - if codeformer.codeformer_model_exists: - logger.info("CodeFormer Initialized") - else: - logger.info("CodeFormer Disabled") - codeformer = None - - return gfpgan, codeformer - - # Face Restore Models - def load_gfpgan(self, gfpgan_model_path): - from .gfpgan import GFPGAN - - return GFPGAN(gfpgan_model_path) - - def load_codeformer(self): - from .codeformer import CodeFormerRestoration - - return CodeFormerRestoration() - - # Upscale Models - def load_esrgan(self, esrgan_bg_tile=400): - from .realesrgan import ESRGAN - - esrgan = ESRGAN(esrgan_bg_tile) - logger.info("ESRGAN Initialized") - return esrgan diff --git a/invokeai/backend/restoration/codeformer.py b/invokeai/backend/restoration/codeformer.py deleted file mode 100644 index 92fcd06e0b..0000000000 --- a/invokeai/backend/restoration/codeformer.py +++ /dev/null @@ -1,120 +0,0 @@ -import os -import sys -import warnings - -import numpy as np -import torch - -import invokeai.backend.util.logging as logger -from invokeai.app.services.config import InvokeAIAppConfig - -pretrained_model_url = ( - "https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/codeformer.pth" -) - - -class CodeFormerRestoration: - def __init__( - self, codeformer_dir="./models/core/face_restoration/codeformer", codeformer_model_path="codeformer.pth" - ) -> None: - - self.globals = InvokeAIAppConfig.get_config() - codeformer_dir = self.globals.root_dir / codeformer_dir - self.model_path = codeformer_dir / codeformer_model_path - self.codeformer_model_exists = self.model_path.exists() - - if not self.codeformer_model_exists: - logger.error(f"NOT FOUND: CodeFormer model not found at {self.model_path}") - sys.path.append(os.path.abspath(codeformer_dir)) - - def process(self, image, strength, device, seed=None, fidelity=0.75): - if seed is not None: - logger.info(f"CodeFormer - Restoring Faces for image seed:{seed}") - with warnings.catch_warnings(): - warnings.filterwarnings("ignore", category=DeprecationWarning) - warnings.filterwarnings("ignore", category=UserWarning) - - from basicsr.utils import img2tensor, tensor2img - from basicsr.utils.download_util import load_file_from_url - from facexlib.utils.face_restoration_helper import FaceRestoreHelper - from PIL import Image - from torchvision.transforms.functional import normalize - - from .codeformer_arch import CodeFormer - - cf_class = CodeFormer - - cf = cf_class( - dim_embd=512, - codebook_size=1024, - n_head=8, - n_layers=9, - connect_list=["32", "64", "128", "256"], - ).to(device) - - # note that this file should already be downloaded and cached at - # this point - checkpoint_path = load_file_from_url( - url=pretrained_model_url, - model_dir=os.path.abspath(os.path.dirname(self.model_path)), - progress=True, - ) - checkpoint = torch.load(checkpoint_path)["params_ema"] - cf.load_state_dict(checkpoint) - cf.eval() - - image = image.convert("RGB") - # Codeformer expects a BGR np array; make array and flip channels - bgr_image_array = np.array(image, dtype=np.uint8)[..., ::-1] - - face_helper = FaceRestoreHelper( - upscale_factor=1, - use_parse=True, - device=device, - model_rootpath = self.globals.model_path / 'core/face_restoration/gfpgan/weights' - ) - face_helper.clean_all() - face_helper.read_image(bgr_image_array) - face_helper.get_face_landmarks_5(resize=640, eye_dist_threshold=5) - face_helper.align_warp_face() - - for idx, cropped_face in enumerate(face_helper.cropped_faces): - cropped_face_t = img2tensor( - cropped_face / 255.0, bgr2rgb=True, float32=True - ) - normalize( - cropped_face_t, (0.5, 0.5, 0.5), (0.5, 0.5, 0.5), inplace=True - ) - cropped_face_t = cropped_face_t.unsqueeze(0).to(device) - - try: - with torch.no_grad(): - output = cf(cropped_face_t, w=fidelity, adain=True)[0] - restored_face = tensor2img( - output.squeeze(0), rgb2bgr=True, min_max=(-1, 1) - ) - del output - torch.cuda.empty_cache() - except RuntimeError as error: - logger.error(f"Failed inference for CodeFormer: {error}.") - restored_face = cropped_face - - restored_face = restored_face.astype("uint8") - face_helper.add_restored_face(restored_face) - - face_helper.get_inverse_affine(None) - - restored_img = face_helper.paste_faces_to_input_image() - - # Flip the channels back to RGB - res = Image.fromarray(restored_img[..., ::-1]) - - if strength < 1.0: - # Resize the image to the new image if the sizes have changed - if restored_img.size != image.size: - image = image.resize(res.size) - res = Image.blend(image, res, strength) - - cf = None - - return res diff --git a/invokeai/backend/restoration/codeformer_arch.py b/invokeai/backend/restoration/codeformer_arch.py deleted file mode 100644 index 0f6b881020..0000000000 --- a/invokeai/backend/restoration/codeformer_arch.py +++ /dev/null @@ -1,325 +0,0 @@ -import math -from typing import List, Optional - -import numpy as np -import torch -import torch.nn.functional as F -from basicsr.utils import get_root_logger -from basicsr.utils.registry import ARCH_REGISTRY -from torch import Tensor, nn - -from .vqgan_arch import * - - -def calc_mean_std(feat, eps=1e-5): - """Calculate mean and std for adaptive_instance_normalization. - - Args: - feat (Tensor): 4D tensor. - eps (float): A small value added to the variance to avoid - divide-by-zero. Default: 1e-5. - """ - size = feat.size() - assert len(size) == 4, "The input feature should be 4D tensor." - b, c = size[:2] - feat_var = feat.view(b, c, -1).var(dim=2) + eps - feat_std = feat_var.sqrt().view(b, c, 1, 1) - feat_mean = feat.view(b, c, -1).mean(dim=2).view(b, c, 1, 1) - return feat_mean, feat_std - - -def adaptive_instance_normalization(content_feat, style_feat): - """Adaptive instance normalization. - - Adjust the reference features to have the similar color and illuminations - as those in the degradate features. - - Args: - content_feat (Tensor): The reference feature. - style_feat (Tensor): The degradate features. - """ - size = content_feat.size() - style_mean, style_std = calc_mean_std(style_feat) - content_mean, content_std = calc_mean_std(content_feat) - normalized_feat = (content_feat - content_mean.expand(size)) / content_std.expand( - size - ) - return normalized_feat * style_std.expand(size) + style_mean.expand(size) - - -class PositionEmbeddingSine(nn.Module): - """ - This is a more standard version of the position embedding, very similar to the one - used by the Attention is all you need paper, generalized to work on images. - """ - - def __init__( - self, num_pos_feats=64, temperature=10000, normalize=False, scale=None - ): - super().__init__() - self.num_pos_feats = num_pos_feats - self.temperature = temperature - self.normalize = normalize - if scale is not None and normalize is False: - raise ValueError("normalize should be True if scale is passed") - if scale is None: - scale = 2 * math.pi - self.scale = scale - - def forward(self, x, mask=None): - if mask is None: - mask = torch.zeros( - (x.size(0), x.size(2), x.size(3)), device=x.device, dtype=torch.bool - ) - not_mask = ~mask - y_embed = not_mask.cumsum(1, dtype=torch.float32) - x_embed = not_mask.cumsum(2, dtype=torch.float32) - if self.normalize: - eps = 1e-6 - y_embed = y_embed / (y_embed[:, -1:, :] + eps) * self.scale - x_embed = x_embed / (x_embed[:, :, -1:] + eps) * self.scale - - dim_t = torch.arange(self.num_pos_feats, dtype=torch.float32, device=x.device) - dim_t = self.temperature ** (2 * (dim_t // 2) / self.num_pos_feats) - - pos_x = x_embed[:, :, :, None] / dim_t - pos_y = y_embed[:, :, :, None] / dim_t - pos_x = torch.stack( - (pos_x[:, :, :, 0::2].sin(), pos_x[:, :, :, 1::2].cos()), dim=4 - ).flatten(3) - pos_y = torch.stack( - (pos_y[:, :, :, 0::2].sin(), pos_y[:, :, :, 1::2].cos()), dim=4 - ).flatten(3) - pos = torch.cat((pos_y, pos_x), dim=3).permute(0, 3, 1, 2) - return pos - - -def _get_activation_fn(activation): - """Return an activation function given a string""" - if activation == "relu": - return F.relu - if activation == "gelu": - return F.gelu - if activation == "glu": - return F.glu - raise RuntimeError(f"activation should be relu/gelu, not {activation}.") - - -class TransformerSALayer(nn.Module): - def __init__( - self, embed_dim, nhead=8, dim_mlp=2048, dropout=0.0, activation="gelu" - ): - super().__init__() - self.self_attn = nn.MultiheadAttention(embed_dim, nhead, dropout=dropout) - # Implementation of Feedforward model - MLP - self.linear1 = nn.Linear(embed_dim, dim_mlp) - self.dropout = nn.Dropout(dropout) - self.linear2 = nn.Linear(dim_mlp, embed_dim) - - self.norm1 = nn.LayerNorm(embed_dim) - self.norm2 = nn.LayerNorm(embed_dim) - self.dropout1 = nn.Dropout(dropout) - self.dropout2 = nn.Dropout(dropout) - - self.activation = _get_activation_fn(activation) - - def with_pos_embed(self, tensor, pos: Optional[Tensor]): - return tensor if pos is None else tensor + pos - - def forward( - self, - tgt, - tgt_mask: Optional[Tensor] = None, - tgt_key_padding_mask: Optional[Tensor] = None, - query_pos: Optional[Tensor] = None, - ): - # self attention - tgt2 = self.norm1(tgt) - q = k = self.with_pos_embed(tgt2, query_pos) - tgt2 = self.self_attn( - q, k, value=tgt2, attn_mask=tgt_mask, key_padding_mask=tgt_key_padding_mask - )[0] - tgt = tgt + self.dropout1(tgt2) - - # ffn - tgt2 = self.norm2(tgt) - tgt2 = self.linear2(self.dropout(self.activation(self.linear1(tgt2)))) - tgt = tgt + self.dropout2(tgt2) - return tgt - - -class Fuse_sft_block(nn.Module): - def __init__(self, in_ch, out_ch): - super().__init__() - self.encode_enc = ResBlock(2 * in_ch, out_ch) - - self.scale = nn.Sequential( - nn.Conv2d(in_ch, out_ch, kernel_size=3, padding=1), - nn.LeakyReLU(0.2, True), - nn.Conv2d(out_ch, out_ch, kernel_size=3, padding=1), - ) - - self.shift = nn.Sequential( - nn.Conv2d(in_ch, out_ch, kernel_size=3, padding=1), - nn.LeakyReLU(0.2, True), - nn.Conv2d(out_ch, out_ch, kernel_size=3, padding=1), - ) - - def forward(self, enc_feat, dec_feat, w=1): - enc_feat = self.encode_enc(torch.cat([enc_feat, dec_feat], dim=1)) - scale = self.scale(enc_feat) - shift = self.shift(enc_feat) - residual = w * (dec_feat * scale + shift) - out = dec_feat + residual - return out - - -@ARCH_REGISTRY.register() -class CodeFormer(VQAutoEncoder): - def __init__( - self, - dim_embd=512, - n_head=8, - n_layers=9, - codebook_size=1024, - latent_size=256, - connect_list=["32", "64", "128", "256"], - fix_modules=["quantize", "generator"], - ): - super(CodeFormer, self).__init__( - 512, 64, [1, 2, 2, 4, 4, 8], "nearest", 2, [16], codebook_size - ) - - if fix_modules is not None: - for module in fix_modules: - for param in getattr(self, module).parameters(): - param.requires_grad = False - - self.connect_list = connect_list - self.n_layers = n_layers - self.dim_embd = dim_embd - self.dim_mlp = dim_embd * 2 - - self.position_emb = nn.Parameter(torch.zeros(latent_size, self.dim_embd)) - self.feat_emb = nn.Linear(256, self.dim_embd) - - # transformer - self.ft_layers = nn.Sequential( - *[ - TransformerSALayer( - embed_dim=dim_embd, nhead=n_head, dim_mlp=self.dim_mlp, dropout=0.0 - ) - for _ in range(self.n_layers) - ] - ) - - # logits_predict head - self.idx_pred_layer = nn.Sequential( - nn.LayerNorm(dim_embd), nn.Linear(dim_embd, codebook_size, bias=False) - ) - - self.channels = { - "16": 512, - "32": 256, - "64": 256, - "128": 128, - "256": 128, - "512": 64, - } - - # after second residual block for > 16, before attn layer for ==16 - self.fuse_encoder_block = { - "512": 2, - "256": 5, - "128": 8, - "64": 11, - "32": 14, - "16": 18, - } - # after first residual block for > 16, before attn layer for ==16 - self.fuse_generator_block = { - "16": 6, - "32": 9, - "64": 12, - "128": 15, - "256": 18, - "512": 21, - } - - # fuse_convs_dict - self.fuse_convs_dict = nn.ModuleDict() - for f_size in self.connect_list: - in_ch = self.channels[f_size] - self.fuse_convs_dict[f_size] = Fuse_sft_block(in_ch, in_ch) - - def _init_weights(self, module): - if isinstance(module, (nn.Linear, nn.Embedding)): - module.weight.data.normal_(mean=0.0, std=0.02) - if isinstance(module, nn.Linear) and module.bias is not None: - module.bias.data.zero_() - elif isinstance(module, nn.LayerNorm): - module.bias.data.zero_() - module.weight.data.fill_(1.0) - - def forward(self, x, w=0, detach_16=True, code_only=False, adain=False): - # ################### Encoder ##################### - enc_feat_dict = {} - out_list = [self.fuse_encoder_block[f_size] for f_size in self.connect_list] - for i, block in enumerate(self.encoder.blocks): - x = block(x) - if i in out_list: - enc_feat_dict[str(x.shape[-1])] = x.clone() - - lq_feat = x - # ################# Transformer ################### - # quant_feat, codebook_loss, quant_stats = self.quantize(lq_feat) - pos_emb = self.position_emb.unsqueeze(1).repeat(1, x.shape[0], 1) - # BCHW -> BC(HW) -> (HW)BC - feat_emb = self.feat_emb(lq_feat.flatten(2).permute(2, 0, 1)) - query_emb = feat_emb - # Transformer encoder - for layer in self.ft_layers: - query_emb = layer(query_emb, query_pos=pos_emb) - - # output logits - logits = self.idx_pred_layer(query_emb) # (hw)bn - logits = logits.permute(1, 0, 2) # (hw)bn -> b(hw)n - - if code_only: # for training stage II - # logits doesn't need softmax before cross_entropy loss - return logits, lq_feat - - # ################# Quantization ################### - # if self.training: - # quant_feat = torch.einsum('btn,nc->btc', [soft_one_hot, self.quantize.embedding.weight]) - # # b(hw)c -> bc(hw) -> bchw - # quant_feat = quant_feat.permute(0,2,1).view(lq_feat.shape) - # ------------ - soft_one_hot = F.softmax(logits, dim=2) - _, top_idx = torch.topk(soft_one_hot, 1, dim=2) - quant_feat = self.quantize.get_codebook_feat( - top_idx, shape=[x.shape[0], 16, 16, 256] - ) - # preserve gradients - # quant_feat = lq_feat + (quant_feat - lq_feat).detach() - - if detach_16: - quant_feat = quant_feat.detach() # for training stage III - if adain: - quant_feat = adaptive_instance_normalization(quant_feat, lq_feat) - - # ################## Generator #################### - x = quant_feat - fuse_list = [self.fuse_generator_block[f_size] for f_size in self.connect_list] - - for i, block in enumerate(self.generator.blocks): - x = block(x) - if i in fuse_list: # fuse after i-th block - f_size = str(x.shape[-1]) - if w > 0: - x = self.fuse_convs_dict[f_size]( - enc_feat_dict[f_size].detach(), x, w - ) - out = x - # logits doesn't need softmax before cross_entropy loss - return out, logits, lq_feat diff --git a/invokeai/backend/restoration/gfpgan.py b/invokeai/backend/restoration/gfpgan.py deleted file mode 100644 index 927d026c0c..0000000000 --- a/invokeai/backend/restoration/gfpgan.py +++ /dev/null @@ -1,84 +0,0 @@ -import os -import sys -import warnings - -import numpy as np -import torch -from PIL import Image - -import invokeai.backend.util.logging as logger -from invokeai.app.services.config import InvokeAIAppConfig - -class GFPGAN: - def __init__(self, gfpgan_model_path="models/gfpgan/GFPGANv1.4.pth") -> None: - self.globals = InvokeAIAppConfig.get_config() - if not os.path.isabs(gfpgan_model_path): - gfpgan_model_path = self.globals.root_dir / gfpgan_model_path - self.model_path = gfpgan_model_path - self.gfpgan_model_exists = os.path.isfile(self.model_path) - - if not self.gfpgan_model_exists: - logger.error(f"NOT FOUND: GFPGAN model not found at {self.model_path}") - return None - - def model_exists(self): - return os.path.isfile(self.model_path) - - def process(self, image, strength: float, seed: str = None): - if seed is not None: - logger.info(f"GFPGAN - Restoring Faces for image seed:{seed}") - - with warnings.catch_warnings(): - warnings.filterwarnings("ignore", category=DeprecationWarning) - warnings.filterwarnings("ignore", category=UserWarning) - cwd = os.getcwd() - os.chdir(self.globals.root_dir / 'models') - try: - from gfpgan import GFPGANer - - self.gfpgan = GFPGANer( - model_path=self.model_path, - upscale=1, - arch="clean", - channel_multiplier=2, - bg_upsampler=None, - ) - except Exception: - import traceback - - logger.error("Error loading GFPGAN:", file=sys.stderr) - print(traceback.format_exc(), file=sys.stderr) - os.chdir(cwd) - - if self.gfpgan is None: - logger.warning("WARNING: GFPGAN not initialized.") - logger.warning( - f"Download https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth to {self.model_path}" - ) - - image = image.convert("RGB") - - # GFPGAN expects a BGR np array; make array and flip channels - bgr_image_array = np.array(image, dtype=np.uint8)[..., ::-1] - - _, _, restored_img = self.gfpgan.enhance( - bgr_image_array, - has_aligned=False, - only_center_face=False, - paste_back=True, - ) - - # Flip the channels back to RGB - res = Image.fromarray(restored_img[..., ::-1]) - - if strength < 1.0: - # Resize the image to the new image if the sizes have changed - if restored_img.size != image.size: - image = image.resize(res.size) - res = Image.blend(image, res, strength) - - if torch.cuda.is_available(): - torch.cuda.empty_cache() - self.gfpgan = None - - return res diff --git a/invokeai/backend/restoration/outcrop.py b/invokeai/backend/restoration/outcrop.py deleted file mode 100644 index 07f76d6bf9..0000000000 --- a/invokeai/backend/restoration/outcrop.py +++ /dev/null @@ -1,118 +0,0 @@ -import math - -from PIL import Image -import invokeai.backend.util.logging as logger - -class Outcrop(object): - def __init__( - self, - image, - generate, # current generate object - ): - self.image = image - self.generate = generate - - def process( - self, - extents: dict, - opt, # current options - orig_opt, # ones originally used to generate the image - image_callback=None, - prefix=None, - ): - # grow and mask the image - extended_image = self._extend_all(extents) - - # switch samplers temporarily - curr_sampler = self.generate.sampler - self.generate.sampler_name = opt.sampler_name - self.generate._set_scheduler() - - def wrapped_callback(img, seed, **kwargs): - preferred_seed = ( - orig_opt.seed - if orig_opt.seed is not None and orig_opt.seed >= 0 - else seed - ) - image_callback(img, preferred_seed, use_prefix=prefix, **kwargs) - - result = self.generate.prompt2image( - opt.prompt, - seed=opt.seed or orig_opt.seed, - sampler=self.generate.sampler, - steps=opt.steps, - cfg_scale=opt.cfg_scale, - ddim_eta=self.generate.ddim_eta, - width=extended_image.width, - height=extended_image.height, - init_img=extended_image, - strength=0.90, - image_callback=wrapped_callback if image_callback else None, - seam_size=opt.seam_size or 96, - seam_blur=opt.seam_blur or 16, - seam_strength=opt.seam_strength or 0.7, - seam_steps=20, - tile_size=32, - color_match=True, - force_outpaint=True, # this just stops the warning about erased regions - ) - - # swap sampler back - self.generate.sampler = curr_sampler - return result - - def _extend_all( - self, - extents: dict, - ) -> Image: - """ - Extend the image in direction ('top','bottom','left','right') by - the indicated value. The image canvas is extended, and the empty - rectangular section will be filled with a blurred copy of the - adjacent image. - """ - image = self.image - for direction in extents: - assert direction in [ - "top", - "left", - "bottom", - "right", - ], 'Direction must be one of "top", "left", "bottom", "right"' - pixels = extents[direction] - # round pixels up to the nearest 64 - pixels = math.ceil(pixels / 64) * 64 - logger.info(f"extending image {direction}ward by {pixels} pixels") - image = self._rotate(image, direction) - image = self._extend(image, pixels) - image = self._rotate(image, direction, reverse=True) - return image - - def _rotate(self, image: Image, direction: str, reverse=False) -> Image: - """ - Rotates image so that the area to extend is always at the top top. - Simplifies logic later. The reverse argument, if true, will undo the - previous transpose. - """ - transposes = { - "right": ["ROTATE_90", "ROTATE_270"], - "bottom": ["ROTATE_180", "ROTATE_180"], - "left": ["ROTATE_270", "ROTATE_90"], - } - if direction not in transposes: - return image - transpose = transposes[direction][1 if reverse else 0] - return image.transpose(Image.Transpose.__dict__[transpose]) - - def _extend(self, image: Image, pixels: int) -> Image: - extended_img = Image.new("RGBA", (image.width, image.height + pixels)) - - extended_img.paste((0, 0, 0), [0, 0, image.width, image.height + pixels]) - extended_img.paste(image, box=(0, pixels)) - - # now make the top part transparent to use as a mask - alpha = extended_img.getchannel("A") - alpha.paste(0, (0, 0, extended_img.width, pixels)) - extended_img.putalpha(alpha) - - return extended_img diff --git a/invokeai/backend/restoration/outpaint.py b/invokeai/backend/restoration/outpaint.py deleted file mode 100644 index 184db10fa3..0000000000 --- a/invokeai/backend/restoration/outpaint.py +++ /dev/null @@ -1,102 +0,0 @@ -import math -import warnings - -from PIL import Image, ImageFilter - - -class Outpaint(object): - def __init__(self, image, generate): - self.image = image - self.generate = generate - - def process(self, opt, old_opt, image_callback=None, prefix=None): - image = self._create_outpaint_image(self.image, opt.out_direction) - - seed = old_opt.seed - prompt = old_opt.prompt - - def wrapped_callback(img, seed, **kwargs): - image_callback(img, seed, use_prefix=prefix, **kwargs) - - return self.generate.prompt2image( - prompt, - seed=seed, - sampler=self.generate.sampler, - steps=opt.steps, - cfg_scale=opt.cfg_scale, - ddim_eta=self.generate.ddim_eta, - width=opt.width, - height=opt.height, - init_img=image, - strength=0.83, - image_callback=wrapped_callback, - prefix=prefix, - ) - - def _create_outpaint_image(self, image, direction_args): - assert len(direction_args) in [ - 1, - 2, - ], "Direction (-D) must have exactly one or two arguments." - - if len(direction_args) == 1: - direction = direction_args[0] - pixels = None - elif len(direction_args) == 2: - direction = direction_args[0] - pixels = int(direction_args[1]) - - assert direction in [ - "top", - "left", - "bottom", - "right", - ], 'Direction (-D) must be one of "top", "left", "bottom", "right"' - - image = image.convert("RGBA") - # we always extend top, but rotate to extend along the requested side - if direction == "left": - image = image.transpose(Image.Transpose.ROTATE_270) - elif direction == "bottom": - image = image.transpose(Image.Transpose.ROTATE_180) - elif direction == "right": - image = image.transpose(Image.Transpose.ROTATE_90) - - pixels = image.height // 2 if pixels is None else int(pixels) - assert ( - 0 < pixels < image.height - ), "Direction (-D) pixels length must be in the range 0 - image.size" - - # the top part of the image is taken from the source image mirrored - # coordinates (0,0) are the upper left corner of an image - top = image.transpose(Image.Transpose.FLIP_TOP_BOTTOM).convert("RGBA") - top = top.crop((0, top.height - pixels, top.width, top.height)) - - # setting all alpha of the top part to 0 - alpha = top.getchannel("A") - alpha.paste(0, (0, 0, top.width, top.height)) - top.putalpha(alpha) - - # taking the bottom from the original image - bottom = image.crop((0, 0, image.width, image.height - pixels)) - - new_img = image.copy() - new_img.paste(top, (0, 0)) - new_img.paste(bottom, (0, pixels)) - - # create a 10% dither in the middle - dither = min(image.height // 10, pixels) - for x in range(0, image.width, 2): - for y in range(pixels - dither, pixels + dither): - (r, g, b, a) = new_img.getpixel((x, y)) - new_img.putpixel((x, y), (r, g, b, 0)) - - # let's rotate back again - if direction == "left": - new_img = new_img.transpose(Image.Transpose.ROTATE_90) - elif direction == "bottom": - new_img = new_img.transpose(Image.Transpose.ROTATE_180) - elif direction == "right": - new_img = new_img.transpose(Image.Transpose.ROTATE_270) - - return new_img diff --git a/invokeai/backend/restoration/realesrgan.py b/invokeai/backend/restoration/realesrgan.py deleted file mode 100644 index 1f29ceadba..0000000000 --- a/invokeai/backend/restoration/realesrgan.py +++ /dev/null @@ -1,104 +0,0 @@ -import warnings - -import numpy as np -import torch -from PIL import Image -from PIL.Image import Image as ImageType - -import invokeai.backend.util.logging as logger -from invokeai.app.services.config import InvokeAIAppConfig -config = InvokeAIAppConfig.get_config() - -class ESRGAN: - def __init__(self, bg_tile_size=400) -> None: - self.bg_tile_size = bg_tile_size - - def load_esrgan_bg_upsampler(self, denoise_str): - if not torch.cuda.is_available(): # CPU or MPS on M1 - use_half_precision = False - else: - use_half_precision = True - - from realesrgan import RealESRGANer - from realesrgan.archs.srvgg_arch import SRVGGNetCompact - - model = SRVGGNetCompact( - num_in_ch=3, - num_out_ch=3, - num_feat=64, - num_conv=32, - upscale=4, - act_type="prelu", - ) - model_path = config.models_path / "core/upscaling/realesrgan/realesr-general-x4v3.pth" - wdn_model_path = config.models_path / "core/upscaling/realesrgan/realesr-general-wdn-x4v3.pth" - scale = 4 - - bg_upsampler = RealESRGANer( - scale=scale, - model_path=[model_path, wdn_model_path], - model=model, - tile=self.bg_tile_size, - dni_weight=[denoise_str, 1 - denoise_str], - tile_pad=10, - pre_pad=0, - half=use_half_precision, - ) - - return bg_upsampler - - def process( - self, - image: ImageType, - strength: float, - seed: str = None, - upsampler_scale: int = 2, - denoise_str: float = 0.75, - ): - with warnings.catch_warnings(): - warnings.filterwarnings("ignore", category=DeprecationWarning) - warnings.filterwarnings("ignore", category=UserWarning) - - try: - upsampler = self.load_esrgan_bg_upsampler(denoise_str) - except Exception: - import sys - import traceback - - logger.error("Error loading Real-ESRGAN:") - print(traceback.format_exc(), file=sys.stderr) - - if upsampler_scale == 0: - logger.warning("Real-ESRGAN: Invalid scaling option. Image not upscaled.") - return image - - if seed is not None: - logger.info( - f"Real-ESRGAN Upscaling seed:{seed}, scale:{upsampler_scale}x, tile:{self.bg_tile_size}, denoise:{denoise_str}" - ) - # ESRGAN outputs images with partial transparency if given RGBA images; convert to RGB - image = image.convert("RGB") - - # REALSRGAN expects a BGR np array; make array and flip channels - bgr_image_array = np.array(image, dtype=np.uint8)[..., ::-1] - - output, _ = upsampler.enhance( - bgr_image_array, - outscale=upsampler_scale, - alpha_upsampler="realesrgan", - ) - - # Flip the channels back to RGB - res = Image.fromarray(output[..., ::-1]) - - if strength < 1.0: - # Resize the image to the new image if the sizes have changed - if output.size != image.size: - image = image.resize(res.size) - res = Image.blend(image, res, strength) - - if torch.cuda.is_available(): - torch.cuda.empty_cache() - upsampler = None - - return res diff --git a/invokeai/backend/restoration/vqgan_arch.py b/invokeai/backend/restoration/vqgan_arch.py deleted file mode 100644 index 96d5f04eee..0000000000 --- a/invokeai/backend/restoration/vqgan_arch.py +++ /dev/null @@ -1,514 +0,0 @@ -""" -VQGAN code, adapted from the original created by the Unleashing Transformers authors: -https://github.com/samb-t/unleashing-transformers/blob/master/models/vqgan.py - -""" -import copy - -import numpy as np -import torch -import torch.nn as nn -import torch.nn.functional as F -from basicsr.utils import get_root_logger -from basicsr.utils.registry import ARCH_REGISTRY - - -def normalize(in_channels): - return torch.nn.GroupNorm( - num_groups=32, num_channels=in_channels, eps=1e-6, affine=True - ) - - -@torch.jit.script -def swish(x): - return x * torch.sigmoid(x) - - -# Define VQVAE classes -class VectorQuantizer(nn.Module): - def __init__(self, codebook_size, emb_dim, beta): - super(VectorQuantizer, self).__init__() - self.codebook_size = codebook_size # number of embeddings - self.emb_dim = emb_dim # dimension of embedding - self.beta = beta # commitment cost used in loss term, beta * ||z_e(x)-sg[e]||^2 - self.embedding = nn.Embedding(self.codebook_size, self.emb_dim) - self.embedding.weight.data.uniform_( - -1.0 / self.codebook_size, 1.0 / self.codebook_size - ) - - def forward(self, z): - # reshape z -> (batch, height, width, channel) and flatten - z = z.permute(0, 2, 3, 1).contiguous() - z_flattened = z.view(-1, self.emb_dim) - - # distances from z to embeddings e_j (z - e)^2 = z^2 + e^2 - 2 e * z - d = ( - (z_flattened**2).sum(dim=1, keepdim=True) - + (self.embedding.weight**2).sum(1) - - 2 * torch.matmul(z_flattened, self.embedding.weight.t()) - ) - - mean_distance = torch.mean(d) - # find closest encodings - # min_encoding_indices = torch.argmin(d, dim=1).unsqueeze(1) - min_encoding_scores, min_encoding_indices = torch.topk( - d, 1, dim=1, largest=False - ) - # [0-1], higher score, higher confidence - min_encoding_scores = torch.exp(-min_encoding_scores / 10) - - min_encodings = torch.zeros( - min_encoding_indices.shape[0], self.codebook_size - ).to(z) - min_encodings.scatter_(1, min_encoding_indices, 1) - - # get quantized latent vectors - z_q = torch.matmul(min_encodings, self.embedding.weight).view(z.shape) - # compute loss for embedding - loss = torch.mean((z_q.detach() - z) ** 2) + self.beta * torch.mean( - (z_q - z.detach()) ** 2 - ) - # preserve gradients - z_q = z + (z_q - z).detach() - - # perplexity - e_mean = torch.mean(min_encodings, dim=0) - perplexity = torch.exp(-torch.sum(e_mean * torch.log(e_mean + 1e-10))) - # reshape back to match original input shape - z_q = z_q.permute(0, 3, 1, 2).contiguous() - - return ( - z_q, - loss, - { - "perplexity": perplexity, - "min_encodings": min_encodings, - "min_encoding_indices": min_encoding_indices, - "min_encoding_scores": min_encoding_scores, - "mean_distance": mean_distance, - }, - ) - - def get_codebook_feat(self, indices, shape): - # input indices: batch*token_num -> (batch*token_num)*1 - # shape: batch, height, width, channel - indices = indices.view(-1, 1) - min_encodings = torch.zeros(indices.shape[0], self.codebook_size).to(indices) - min_encodings.scatter_(1, indices, 1) - # get quantized latent vectors - z_q = torch.matmul(min_encodings.float(), self.embedding.weight) - - if shape is not None: # reshape back to match original input shape - z_q = z_q.view(shape).permute(0, 3, 1, 2).contiguous() - - return z_q - - -class GumbelQuantizer(nn.Module): - def __init__( - self, - codebook_size, - emb_dim, - num_hiddens, - straight_through=False, - kl_weight=5e-4, - temp_init=1.0, - ): - super().__init__() - self.codebook_size = codebook_size # number of embeddings - self.emb_dim = emb_dim # dimension of embedding - self.straight_through = straight_through - self.temperature = temp_init - self.kl_weight = kl_weight - self.proj = nn.Conv2d( - num_hiddens, codebook_size, 1 - ) # projects last encoder layer to quantized logits - self.embed = nn.Embedding(codebook_size, emb_dim) - - def forward(self, z): - hard = self.straight_through if self.training else True - - logits = self.proj(z) - - soft_one_hot = F.gumbel_softmax(logits, tau=self.temperature, dim=1, hard=hard) - - z_q = torch.einsum("b n h w, n d -> b d h w", soft_one_hot, self.embed.weight) - - # + kl divergence to the prior loss - qy = F.softmax(logits, dim=1) - diff = ( - self.kl_weight - * torch.sum(qy * torch.log(qy * self.codebook_size + 1e-10), dim=1).mean() - ) - min_encoding_indices = soft_one_hot.argmax(dim=1) - - return z_q, diff, {"min_encoding_indices": min_encoding_indices} - - -class Downsample(nn.Module): - def __init__(self, in_channels): - super().__init__() - self.conv = torch.nn.Conv2d( - in_channels, in_channels, kernel_size=3, stride=2, padding=0 - ) - - def forward(self, x): - pad = (0, 1, 0, 1) - x = torch.nn.functional.pad(x, pad, mode="constant", value=0) - x = self.conv(x) - return x - - -class Upsample(nn.Module): - def __init__(self, in_channels): - super().__init__() - self.conv = nn.Conv2d( - in_channels, in_channels, kernel_size=3, stride=1, padding=1 - ) - - def forward(self, x): - x = F.interpolate(x, scale_factor=2.0, mode="nearest") - x = self.conv(x) - - return x - - -class ResBlock(nn.Module): - def __init__(self, in_channels, out_channels=None): - super(ResBlock, self).__init__() - self.in_channels = in_channels - self.out_channels = in_channels if out_channels is None else out_channels - self.norm1 = normalize(in_channels) - self.conv1 = nn.Conv2d( - in_channels, out_channels, kernel_size=3, stride=1, padding=1 - ) - self.norm2 = normalize(out_channels) - self.conv2 = nn.Conv2d( - out_channels, out_channels, kernel_size=3, stride=1, padding=1 - ) - if self.in_channels != self.out_channels: - self.conv_out = nn.Conv2d( - in_channels, out_channels, kernel_size=1, stride=1, padding=0 - ) - - def forward(self, x_in): - x = x_in - x = self.norm1(x) - x = swish(x) - x = self.conv1(x) - x = self.norm2(x) - x = swish(x) - x = self.conv2(x) - if self.in_channels != self.out_channels: - x_in = self.conv_out(x_in) - - return x + x_in - - -class AttnBlock(nn.Module): - def __init__(self, in_channels): - super().__init__() - self.in_channels = in_channels - - self.norm = normalize(in_channels) - self.q = torch.nn.Conv2d( - in_channels, in_channels, kernel_size=1, stride=1, padding=0 - ) - self.k = torch.nn.Conv2d( - in_channels, in_channels, kernel_size=1, stride=1, padding=0 - ) - self.v = torch.nn.Conv2d( - in_channels, in_channels, kernel_size=1, stride=1, padding=0 - ) - self.proj_out = torch.nn.Conv2d( - in_channels, in_channels, kernel_size=1, stride=1, padding=0 - ) - - def forward(self, x): - h_ = x - h_ = self.norm(h_) - q = self.q(h_) - k = self.k(h_) - v = self.v(h_) - - # compute attention - b, c, h, w = q.shape - q = q.reshape(b, c, h * w) - q = q.permute(0, 2, 1) - k = k.reshape(b, c, h * w) - w_ = torch.bmm(q, k) - w_ = w_ * (int(c) ** (-0.5)) - w_ = F.softmax(w_, dim=2) - - # attend to values - v = v.reshape(b, c, h * w) - w_ = w_.permute(0, 2, 1) - h_ = torch.bmm(v, w_) - h_ = h_.reshape(b, c, h, w) - - h_ = self.proj_out(h_) - - return x + h_ - - -class Encoder(nn.Module): - def __init__( - self, - in_channels, - nf, - emb_dim, - ch_mult, - num_res_blocks, - resolution, - attn_resolutions, - ): - super().__init__() - self.nf = nf - self.num_resolutions = len(ch_mult) - self.num_res_blocks = num_res_blocks - self.resolution = resolution - self.attn_resolutions = attn_resolutions - - curr_res = self.resolution - in_ch_mult = (1,) + tuple(ch_mult) - - blocks = [] - # initial convultion - blocks.append(nn.Conv2d(in_channels, nf, kernel_size=3, stride=1, padding=1)) - - # residual and downsampling blocks, with attention on smaller res (16x16) - for i in range(self.num_resolutions): - block_in_ch = nf * in_ch_mult[i] - block_out_ch = nf * ch_mult[i] - for _ in range(self.num_res_blocks): - blocks.append(ResBlock(block_in_ch, block_out_ch)) - block_in_ch = block_out_ch - if curr_res in attn_resolutions: - blocks.append(AttnBlock(block_in_ch)) - - if i != self.num_resolutions - 1: - blocks.append(Downsample(block_in_ch)) - curr_res = curr_res // 2 - - # non-local attention block - blocks.append(ResBlock(block_in_ch, block_in_ch)) - blocks.append(AttnBlock(block_in_ch)) - blocks.append(ResBlock(block_in_ch, block_in_ch)) - - # normalise and convert to latent size - blocks.append(normalize(block_in_ch)) - blocks.append( - nn.Conv2d(block_in_ch, emb_dim, kernel_size=3, stride=1, padding=1) - ) - self.blocks = nn.ModuleList(blocks) - - def forward(self, x): - for block in self.blocks: - x = block(x) - - return x - - -class Generator(nn.Module): - def __init__(self, nf, emb_dim, ch_mult, res_blocks, img_size, attn_resolutions): - super().__init__() - self.nf = nf - self.ch_mult = ch_mult - self.num_resolutions = len(self.ch_mult) - self.num_res_blocks = res_blocks - self.resolution = img_size - self.attn_resolutions = attn_resolutions - self.in_channels = emb_dim - self.out_channels = 3 - block_in_ch = self.nf * self.ch_mult[-1] - curr_res = self.resolution // 2 ** (self.num_resolutions - 1) - - blocks = [] - # initial conv - blocks.append( - nn.Conv2d(self.in_channels, block_in_ch, kernel_size=3, stride=1, padding=1) - ) - - # non-local attention block - blocks.append(ResBlock(block_in_ch, block_in_ch)) - blocks.append(AttnBlock(block_in_ch)) - blocks.append(ResBlock(block_in_ch, block_in_ch)) - - for i in reversed(range(self.num_resolutions)): - block_out_ch = self.nf * self.ch_mult[i] - - for _ in range(self.num_res_blocks): - blocks.append(ResBlock(block_in_ch, block_out_ch)) - block_in_ch = block_out_ch - - if curr_res in self.attn_resolutions: - blocks.append(AttnBlock(block_in_ch)) - - if i != 0: - blocks.append(Upsample(block_in_ch)) - curr_res = curr_res * 2 - - blocks.append(normalize(block_in_ch)) - blocks.append( - nn.Conv2d( - block_in_ch, self.out_channels, kernel_size=3, stride=1, padding=1 - ) - ) - - self.blocks = nn.ModuleList(blocks) - - def forward(self, x): - for block in self.blocks: - x = block(x) - - return x - - -@ARCH_REGISTRY.register() -class VQAutoEncoder(nn.Module): - def __init__( - self, - img_size, - nf, - ch_mult, - quantizer="nearest", - res_blocks=2, - attn_resolutions=[16], - codebook_size=1024, - emb_dim=256, - beta=0.25, - gumbel_straight_through=False, - gumbel_kl_weight=1e-8, - model_path=None, - ): - super().__init__() - logger = get_root_logger() - self.in_channels = 3 - self.nf = nf - self.n_blocks = res_blocks - self.codebook_size = codebook_size - self.embed_dim = emb_dim - self.ch_mult = ch_mult - self.resolution = img_size - self.attn_resolutions = attn_resolutions - self.quantizer_type = quantizer - self.encoder = Encoder( - self.in_channels, - self.nf, - self.embed_dim, - self.ch_mult, - self.n_blocks, - self.resolution, - self.attn_resolutions, - ) - if self.quantizer_type == "nearest": - self.beta = beta # 0.25 - self.quantize = VectorQuantizer( - self.codebook_size, self.embed_dim, self.beta - ) - elif self.quantizer_type == "gumbel": - self.gumbel_num_hiddens = emb_dim - self.straight_through = gumbel_straight_through - self.kl_weight = gumbel_kl_weight - self.quantize = GumbelQuantizer( - self.codebook_size, - self.embed_dim, - self.gumbel_num_hiddens, - self.straight_through, - self.kl_weight, - ) - self.generator = Generator( - self.nf, - self.embed_dim, - self.ch_mult, - self.n_blocks, - self.resolution, - self.attn_resolutions, - ) - - if model_path is not None: - chkpt = torch.load(model_path, map_location="cpu") - if "params_ema" in chkpt: - self.load_state_dict( - torch.load(model_path, map_location="cpu")["params_ema"] - ) - logger.info(f"vqgan is loaded from: {model_path} [params_ema]") - elif "params" in chkpt: - self.load_state_dict( - torch.load(model_path, map_location="cpu")["params"] - ) - logger.info(f"vqgan is loaded from: {model_path} [params]") - else: - raise ValueError(f"Wrong params!") - - def forward(self, x): - x = self.encoder(x) - quant, codebook_loss, quant_stats = self.quantize(x) - x = self.generator(quant) - return x, codebook_loss, quant_stats - - -# patch based discriminator -@ARCH_REGISTRY.register() -class VQGANDiscriminator(nn.Module): - def __init__(self, nc=3, ndf=64, n_layers=4, model_path=None): - super().__init__() - - layers = [ - nn.Conv2d(nc, ndf, kernel_size=4, stride=2, padding=1), - nn.LeakyReLU(0.2, True), - ] - ndf_mult = 1 - ndf_mult_prev = 1 - for n in range(1, n_layers): # gradually increase the number of filters - ndf_mult_prev = ndf_mult - ndf_mult = min(2**n, 8) - layers += [ - nn.Conv2d( - ndf * ndf_mult_prev, - ndf * ndf_mult, - kernel_size=4, - stride=2, - padding=1, - bias=False, - ), - nn.BatchNorm2d(ndf * ndf_mult), - nn.LeakyReLU(0.2, True), - ] - - ndf_mult_prev = ndf_mult - ndf_mult = min(2**n_layers, 8) - - layers += [ - nn.Conv2d( - ndf * ndf_mult_prev, - ndf * ndf_mult, - kernel_size=4, - stride=1, - padding=1, - bias=False, - ), - nn.BatchNorm2d(ndf * ndf_mult), - nn.LeakyReLU(0.2, True), - ] - - layers += [ - nn.Conv2d(ndf * ndf_mult, 1, kernel_size=4, stride=1, padding=1) - ] # output 1 channel prediction map - self.main = nn.Sequential(*layers) - - if model_path is not None: - chkpt = torch.load(model_path, map_location="cpu") - if "params_d" in chkpt: - self.load_state_dict( - torch.load(model_path, map_location="cpu")["params_d"] - ) - elif "params" in chkpt: - self.load_state_dict( - torch.load(model_path, map_location="cpu")["params"] - ) - else: - raise ValueError(f"Wrong params!") - - def forward(self, x): - return self.main(x) From 373beefd13a202ce27ce137ac9a0d6bc3123b8d8 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Sat, 15 Jul 2023 18:26:19 -0400 Subject: [PATCH 21/72] remove restoration option from invokeai.yaml --- invokeai/app/services/config.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/invokeai/app/services/config.py b/invokeai/app/services/config.py index f02798c6d1..0a70c1dd5d 100644 --- a/invokeai/app/services/config.py +++ b/invokeai/app/services/config.py @@ -271,13 +271,13 @@ class InvokeAISettings(BaseSettings): @classmethod def _excluded(self)->List[str]: - # combination of deprecated parameters and internal ones that shouldn't be exposed + # internal fields that shouldn't be exposed as command line options return ['type','initconf'] @classmethod def _excluded_from_yaml(self)->List[str]: - # combination of deprecated parameters and internal ones that shouldn't be exposed - return ['type','initconf', 'gpu_mem_reserved', 'max_loaded_models', 'version', 'from_file', 'model'] + # combination of deprecated parameters and internal ones that shouldn't be exposed as invokeai.yaml options + return ['type','initconf', 'gpu_mem_reserved', 'max_loaded_models', 'version', 'from_file', 'model', 'restore'] class Config: env_file_encoding = 'utf-8' From 48a031dbaf1dffbdb716cd949174f38eab7fbbe2 Mon Sep 17 00:00:00 2001 From: psychedelicious <4822129+psychedelicious@users.noreply.github.com> Date: Sun, 16 Jul 2023 10:52:18 +1000 Subject: [PATCH 22/72] fix(nodes): fix typing of configuration service --- invokeai/app/api/dependencies.py | 3 ++- invokeai/app/services/invocation_services.py | 6 +++--- 2 files changed, 5 insertions(+), 4 deletions(-) diff --git a/invokeai/app/api/dependencies.py b/invokeai/app/api/dependencies.py index 649c8f7f18..555c60a383 100644 --- a/invokeai/app/api/dependencies.py +++ b/invokeai/app/api/dependencies.py @@ -11,6 +11,7 @@ from invokeai.app.services.board_images import ( ) from invokeai.app.services.board_record_storage import SqliteBoardRecordStorage from invokeai.app.services.boards import BoardService, BoardServiceDependencies +from invokeai.app.services.config import InvokeAIAppConfig from invokeai.app.services.image_record_storage import SqliteImageRecordStorage from invokeai.app.services.images import ImageService, ImageServiceDependencies from invokeai.app.services.resource_name import SimpleNameService @@ -56,7 +57,7 @@ class ApiDependencies: invoker: Invoker = None @staticmethod - def initialize(config, event_handler_id: int, logger: Logger = logger): + def initialize(config: InvokeAIAppConfig, event_handler_id: int, logger: Logger = logger): logger.debug(f"InvokeAI version {__version__}") logger.debug(f"Internet connectivity is {config.internet_available}") diff --git a/invokeai/app/services/invocation_services.py b/invokeai/app/services/invocation_services.py index 2f45863bc6..8af17c7643 100644 --- a/invokeai/app/services/invocation_services.py +++ b/invokeai/app/services/invocation_services.py @@ -12,7 +12,7 @@ if TYPE_CHECKING: from invokeai.app.services.latent_storage import LatentsStorageBase from invokeai.app.services.invocation_queue import InvocationQueueABC from invokeai.app.services.item_storage import ItemStorageABC - from invokeai.app.services.config import InvokeAISettings + from invokeai.app.services.config import InvokeAIAppConfig from invokeai.app.services.graph import GraphExecutionState, LibraryGraph from invokeai.app.services.invoker import InvocationProcessorABC @@ -23,7 +23,7 @@ class InvocationServices: # TODO: Just forward-declared everything due to circular dependencies. Fix structure. board_images: "BoardImagesServiceABC" boards: "BoardServiceABC" - configuration: "InvokeAISettings" + configuration: "InvokeAIAppConfig" events: "EventServiceBase" graph_execution_manager: "ItemStorageABC"["GraphExecutionState"] graph_library: "ItemStorageABC"["LibraryGraph"] @@ -38,7 +38,7 @@ class InvocationServices: self, board_images: "BoardImagesServiceABC", boards: "BoardServiceABC", - configuration: "InvokeAISettings", + configuration: "InvokeAIAppConfig", events: "EventServiceBase", graph_execution_manager: "ItemStorageABC"["GraphExecutionState"], graph_library: "ItemStorageABC"["LibraryGraph"], From 5d59dd4b9710cfb6cd5d4d2d7842b2643787a155 Mon Sep 17 00:00:00 2001 From: psychedelicious <4822129+psychedelicious@users.noreply.github.com> Date: Sun, 16 Jul 2023 10:54:52 +1000 Subject: [PATCH 23/72] feat(nodes): use correctly-typed configuration service in upscale node --- invokeai/app/invocations/upscale.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/invokeai/app/invocations/upscale.py b/invokeai/app/invocations/upscale.py index f320e010e2..9fa208fb31 100644 --- a/invokeai/app/invocations/upscale.py +++ b/invokeai/app/invocations/upscale.py @@ -1,5 +1,5 @@ # Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654) & the InvokeAI Team -from pathlib import Path +from pathlib import Path, PosixPath from typing import Literal, Union, cast import cv2 as cv @@ -33,12 +33,12 @@ class RealESRGANInvocation(BaseInvocation): ) def invoke(self, context: InvocationContext) -> ImageOutput: - image = context.services.images.get_pil_image(self.image.image_name) # type: ignore - models_dir = cast(Path, context.services.configuration.root_dir) / Path("models/") # type: ignore + image = context.services.images.get_pil_image(self.image.image_name) + models_path = context.services.configuration.models_path rrdbnet_model = None netscale = None - model_path = None + esrgan_model_path = None if self.model_name in [ "RealESRGAN_x4plus.pth", @@ -54,13 +54,13 @@ class RealESRGANInvocation(BaseInvocation): scale=4, ) netscale = 4 - elif self.model_name == "RealESRGAN_x4plus_anime_6B.pth": + elif self.model_name in ["RealESRGAN_x4plus_anime_6B.pth"]: # x4 RRDBNet model, 6 blocks rrdbnet_model = RRDBNet( num_in_ch=3, num_out_ch=3, num_feat=64, - num_block=6, # 6 blocks + num_block=6, # 6 blocks num_grow_ch=32, scale=4, ) @@ -83,11 +83,11 @@ class RealESRGANInvocation(BaseInvocation): context.services.logger.error(msg) raise ValueError(msg) - model_path = Path(f"core/upscaling/realesrgan/{self.model_name}") + esrgan_model_path = Path(f"core/upscaling/realesrgan/{self.model_name}") upsampler = RealESRGANer( scale=netscale, - model_path=str(models_dir / model_path), + model_path=str(models_path / esrgan_model_path), model=rrdbnet_model, half=False, ) From b56be07ab35eea5669cfc7636a8d298b8966714f Mon Sep 17 00:00:00 2001 From: psychedelicious <4822129+psychedelicious@users.noreply.github.com> Date: Sun, 16 Jul 2023 11:21:19 +1000 Subject: [PATCH 24/72] Update NODES.md Add experimental banner. --- docs/features/NODES.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/docs/features/NODES.md b/docs/features/NODES.md index 1cd788b8aa..1f276d2012 100644 --- a/docs/features/NODES.md +++ b/docs/features/NODES.md @@ -1,4 +1,8 @@ -# Nodes Editor (Experimental Beta) +# Nodes Editor (Experimental) + +🚨 +*The node editor is experimental. We've made it accessible because we use it to develop the application, but we have not addressed the many known rough edges. It's very easy to shoot yourself in the foot, and we cannot offer support for it until it sees full release (ETA v3.1). Everything is subject to change without warning.* +🚨 The nodes editor is a blank canvas allowing for the use of individual functions and image transformations to control the image generation workflow. The node processing flow is usually done from left (inputs) to right (outputs), though linearity can become abstracted the more complex the node graph becomes. Nodes inputs and outputs are connected by dragging connectors from node to node. From 2e0370d84536ea2e7b897b1133e4ff76e932700b Mon Sep 17 00:00:00 2001 From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com> Date: Sun, 16 Jul 2023 14:07:26 +1200 Subject: [PATCH 25/72] feat: Extract BaseModel and ModelVariant Select's For reusability --- .../common/components/IAIMantineSelect.tsx | 2 +- .../ModelManagerPanel/CheckpointModelEdit.tsx | 24 ++++------------ .../ModelManagerPanel/DiffusersModelEdit.tsx | 28 ++++--------------- .../subpanels/shared/BaseModelSelect.tsx | 26 +++++++++++++++++ .../subpanels/shared/ModelVariantSelect.tsx | 26 +++++++++++++++++ 5 files changed, 63 insertions(+), 43 deletions(-) create mode 100644 invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/shared/BaseModelSelect.tsx create mode 100644 invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/shared/ModelVariantSelect.tsx diff --git a/invokeai/frontend/web/src/common/components/IAIMantineSelect.tsx b/invokeai/frontend/web/src/common/components/IAIMantineSelect.tsx index fa9b0b6719..537ccf86be 100644 --- a/invokeai/frontend/web/src/common/components/IAIMantineSelect.tsx +++ b/invokeai/frontend/web/src/common/components/IAIMantineSelect.tsx @@ -9,7 +9,7 @@ export type IAISelectDataType = { tooltip?: string; }; -type IAISelectProps = Omit & { +export type IAISelectProps = Omit & { tooltip?: string; inputRef?: RefObject; label?: string; diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/CheckpointModelEdit.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/CheckpointModelEdit.tsx index 2cdaea904f..6078ba4a68 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/CheckpointModelEdit.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/CheckpointModelEdit.tsx @@ -4,7 +4,6 @@ import { makeToast } from 'app/components/Toaster'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import IAIButton from 'common/components/IAIButton'; import IAIMantineTextInput from 'common/components/IAIMantineInput'; -import IAIMantineSelect from 'common/components/IAIMantineSelect'; import { MODEL_TYPE_MAP } from 'features/parameters/types/constants'; import { selectIsBusy } from 'features/system/store/systemSelectors'; import { addToast } from 'features/system/store/systemSlice'; @@ -15,19 +14,10 @@ import { useUpdateMainModelsMutation, } from 'services/api/endpoints/models'; import { CheckpointModelConfig } from 'services/api/types'; +import BaseModelSelect from '../shared/BaseModelSelect'; +import ModelVariantSelect from '../shared/ModelVariantSelect'; import ModelConvert from './ModelConvert'; -const baseModelSelectData = [ - { value: 'sd-1', label: MODEL_TYPE_MAP['sd-1'] }, - { value: 'sd-2', label: MODEL_TYPE_MAP['sd-2'] }, -]; - -const variantSelectData = [ - { value: 'normal', label: 'Normal' }, - { value: 'inpaint', label: 'Inpaint' }, - { value: 'depth', label: 'Depth' }, -]; - type CheckpointModelEditProps = { model: CheckpointModelConfigEntity; }; @@ -80,7 +70,7 @@ export default function CheckpointModelEdit(props: CheckpointModelEditProps) { ) ); }) - .catch((error) => { + .catch((_) => { checkpointEditForm.reset(); dispatch( addToast( @@ -132,14 +122,10 @@ export default function CheckpointModelEdit(props: CheckpointModelEditProps) { label={t('modelManager.description')} {...checkpointEditForm.getInputProps('description')} /> - - { + .catch((_) => { diffusersEditForm.reset(); dispatch( addToast( @@ -122,16 +112,8 @@ export default function DiffusersModelEdit(props: DiffusersModelEditProps) { label={t('modelManager.description')} {...diffusersEditForm.getInputProps('description')} /> - - + + ; + +export default function BaseModelSelect(props: BaseModelSelectProps) { + const { ...rest } = props; + const { t } = useTranslation(); + + return ( + + ); +} diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/shared/ModelVariantSelect.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/shared/ModelVariantSelect.tsx new file mode 100644 index 0000000000..24f295fb73 --- /dev/null +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/shared/ModelVariantSelect.tsx @@ -0,0 +1,26 @@ +import IAIMantineSelect, { + IAISelectDataType, + IAISelectProps, +} from 'common/components/IAIMantineSelect'; +import { useTranslation } from 'react-i18next'; + +const variantSelectData: IAISelectDataType[] = [ + { value: 'normal', label: 'Normal' }, + { value: 'inpaint', label: 'Inpaint' }, + { value: 'depth', label: 'Depth' }, +]; + +type VariantSelectProps = Omit; + +export default function ModelVariantSelect(props: VariantSelectProps) { + const { ...rest } = props; + const { t } = useTranslation(); + + return ( + + ); +} From 421fcb761b3fdab093a797706cfe59b84af55b60 Mon Sep 17 00:00:00 2001 From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com> Date: Sun, 16 Jul 2023 14:20:27 +1200 Subject: [PATCH 26/72] feat: Manual Add Diffusers Model --- .../subpanels/AddModelsPanel/AddModels.tsx | 3 +- .../AddModelsPanel/ManualAddCheckpoint.tsx | 20 ++++ .../AddModelsPanel/ManualAddDiffusers.tsx | 102 ++++++++++++++++++ .../AddModelsPanel/ManualAddModels.tsx | 46 ++++++++ .../web/src/services/api/endpoints/models.ts | 18 ++++ 5 files changed, 188 insertions(+), 1 deletion(-) create mode 100644 invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ManualAddCheckpoint.tsx create mode 100644 invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ManualAddDiffusers.tsx create mode 100644 invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ManualAddModels.tsx diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AddModels.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AddModels.tsx index e667c17d3e..4e1f3d8240 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AddModels.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AddModels.tsx @@ -2,6 +2,7 @@ import { ButtonGroup, Flex } from '@chakra-ui/react'; import IAIButton from 'common/components/IAIButton'; import { useState } from 'react'; import AutoAddModels from './AutoAddModels'; +import ManualAddModels from './ManualAddModels'; export default function AddModels() { const [addModelMode, setAddModelMode] = useState<'simple' | 'advanced'>( @@ -40,7 +41,7 @@ export default function AddModels() { }} > {addModelMode === 'simple' && } - {addModelMode === 'advanced' && null} + {addModelMode === 'advanced' && }
); diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ManualAddCheckpoint.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ManualAddCheckpoint.tsx new file mode 100644 index 0000000000..efee656d81 --- /dev/null +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ManualAddCheckpoint.tsx @@ -0,0 +1,20 @@ +import { useForm } from '@mantine/form'; +import { CheckpointModelConfig } from 'services/api/types'; + +export default function ManualAddCheckpoint() { + const manualAddCheckpointForm = useForm({ + initialValues: { + model_name: '', + base_model: 'sd-1', + model_type: 'main', + path: '', + description: '', + model_format: 'checkpoint', + error: undefined, + vae: '', + variant: 'normal', + config: '', + }, + }); + return
ManualAddCheckpoint
; +} diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ManualAddDiffusers.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ManualAddDiffusers.tsx new file mode 100644 index 0000000000..1e51006dcd --- /dev/null +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ManualAddDiffusers.tsx @@ -0,0 +1,102 @@ +import { Flex } from '@chakra-ui/react'; +import { useForm } from '@mantine/form'; +import { makeToast } from 'app/components/Toaster'; +import { useAppDispatch } from 'app/store/storeHooks'; +import IAIButton from 'common/components/IAIButton'; +import IAIMantineTextInput from 'common/components/IAIMantineInput'; +import { addToast } from 'features/system/store/systemSlice'; +import { useTranslation } from 'react-i18next'; +import { useAddMainModelsMutation } from 'services/api/endpoints/models'; +import { DiffusersModelConfig } from 'services/api/types'; +import BaseModelSelect from '../shared/BaseModelSelect'; +import ModelVariantSelect from '../shared/ModelVariantSelect'; + +export default function ManualAddDiffusers() { + const { t } = useTranslation(); + const dispatch = useAppDispatch(); + + const [addMainModel] = useAddMainModelsMutation(); + + const manualAddDiffusersForm = useForm({ + initialValues: { + model_name: '', + base_model: 'sd-1', + model_type: 'main', + path: '', + description: '', + model_format: 'diffusers', + error: undefined, + vae: '', + variant: 'normal', + }, + }); + const manualAddDiffusersFormHandler = (values: DiffusersModelConfig) => { + console.log(values); + addMainModel({ + body: values, + }) + .unwrap() + .then((_) => { + dispatch( + addToast( + makeToast({ + title: `Model Added: ${values.model_name}`, + status: 'success', + }) + ) + ); + manualAddDiffusersForm.reset(); + }) + .catch((error) => { + if (error) { + dispatch( + addToast( + makeToast({ + title: 'Model Add Failed', + status: 'error', + }) + ) + ); + } + }); + }; + + return ( +
+ manualAddDiffusersFormHandler(v) + )} + style={{ width: '100%' }} + > + + + + + + + + + {t('modelManager.addModel')} + + +
+ ); +} diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ManualAddModels.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ManualAddModels.tsx new file mode 100644 index 0000000000..2783e4e6b3 --- /dev/null +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ManualAddModels.tsx @@ -0,0 +1,46 @@ +import { Flex } from '@chakra-ui/react'; +import { SelectItem } from '@mantine/core'; +import IAIMantineSelect from 'common/components/IAIMantineSelect'; +import { useState } from 'react'; +import ManualAddCheckpoint from './ManualAddCheckpoint'; +import ManualAddDiffusers from './ManualAddDiffusers'; + +const manualAddModeData: SelectItem[] = [ + { label: 'Diffusers', value: 'diffusers' }, + { label: 'Checkpoint / Safetensors', value: 'checkpoint' }, +]; + +type ManualAddMode = 'diffusers' | 'checkpoint'; + +export default function ManualAddModels() { + const [manualAddMode, setManualAddMode] = + useState('diffusers'); + + return ( + + { + if (!v) return; + setManualAddMode(v as ManualAddMode); + }} + /> + + + {manualAddMode === 'diffusers' && } + {manualAddMode === 'checkpoint' && } + + + ); +} diff --git a/invokeai/frontend/web/src/services/api/endpoints/models.ts b/invokeai/frontend/web/src/services/api/endpoints/models.ts index 2a5e5547b3..e0177ca8d1 100644 --- a/invokeai/frontend/web/src/services/api/endpoints/models.ts +++ b/invokeai/frontend/web/src/services/api/endpoints/models.ts @@ -86,6 +86,13 @@ type ImportMainModelArg = { type ImportMainModelResponse = paths['/api/v1/models/import']['post']['responses']['201']['content']['application/json']; +type AddMainModelArg = { + body: MainModelConfig; +}; + +type AddMainModelResponse = + paths['/api/v1/models/add']['post']['responses']['201']['content']['application/json']; + type SearchFolderResponse = paths['/api/v1/models/search']['get']['responses']['200']['content']['application/json']; @@ -189,6 +196,16 @@ export const modelsApi = api.injectEndpoints({ }, invalidatesTags: [{ type: 'MainModel', id: LIST_TAG }], }), + addMainModels: build.mutation({ + query: ({ body }) => { + return { + url: `models/add`, + method: 'POST', + body: body, + }; + }, + invalidatesTags: [{ type: 'MainModel', id: LIST_TAG }], + }), deleteMainModels: build.mutation< DeleteMainModelResponse, DeleteMainModelArg @@ -378,6 +395,7 @@ export const { useUpdateMainModelsMutation, useDeleteMainModelsMutation, useImportMainModelsMutation, + useAddMainModelsMutation, useConvertMainModelsMutation, useMergeMainModelsMutation, useGetModelsInFolderQuery, From d93d42af4aaea7eca4bc43525e6428311b2bb55f Mon Sep 17 00:00:00 2001 From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com> Date: Sun, 16 Jul 2023 15:21:49 +1200 Subject: [PATCH 27/72] feat: Add Manual Checkpoint / Safetensor Models --- .../src/common/components/IAIMantineInput.tsx | 1 + .../subpanels/AddModelsPanel/AddModels.tsx | 2 +- .../AddModelsPanel/ManualAddCheckpoint.tsx | 111 +++++++++++++++++- .../AddModelsPanel/ManualAddDiffusers.tsx | 2 +- .../shared/CheckpointConfigsSelect.tsx | 22 ++++ .../web/src/services/api/endpoints/models.ts | 11 ++ 6 files changed, 145 insertions(+), 4 deletions(-) create mode 100644 invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/shared/CheckpointConfigsSelect.tsx diff --git a/invokeai/frontend/web/src/common/components/IAIMantineInput.tsx b/invokeai/frontend/web/src/common/components/IAIMantineInput.tsx index d60f6614df..afe8b9442b 100644 --- a/invokeai/frontend/web/src/common/components/IAIMantineInput.tsx +++ b/invokeai/frontend/web/src/common/components/IAIMantineInput.tsx @@ -36,6 +36,7 @@ export default function IAIMantineTextInput(props: IAIMantineTextInputProps) { label: { color: mode(base700, base300)(colorMode), fontWeight: 'normal', + marginBottom: 4, }, })} {...rest} diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AddModels.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AddModels.tsx index 4e1f3d8240..fdb890152b 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AddModels.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AddModels.tsx @@ -13,7 +13,7 @@ export default function AddModels() { flexDirection="column" width="100%" overflow="scroll" - maxHeight={window.innerHeight - 270} + maxHeight={window.innerHeight - 250} gap={4} > diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ManualAddCheckpoint.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ManualAddCheckpoint.tsx index efee656d81..f63085aaaa 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ManualAddCheckpoint.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ManualAddCheckpoint.tsx @@ -1,7 +1,23 @@ +import { Flex } from '@chakra-ui/react'; import { useForm } from '@mantine/form'; +import { makeToast } from 'app/components/Toaster'; +import { useAppDispatch } from 'app/store/storeHooks'; +import IAIButton from 'common/components/IAIButton'; +import IAIMantineTextInput from 'common/components/IAIMantineInput'; +import IAISimpleCheckbox from 'common/components/IAISimpleCheckbox'; +import { addToast } from 'features/system/store/systemSlice'; +import { useState } from 'react'; +import { useTranslation } from 'react-i18next'; +import { useAddMainModelsMutation } from 'services/api/endpoints/models'; import { CheckpointModelConfig } from 'services/api/types'; +import BaseModelSelect from '../shared/BaseModelSelect'; +import CheckpointConfigsSelect from '../shared/CheckpointConfigsSelect'; +import ModelVariantSelect from '../shared/ModelVariantSelect'; export default function ManualAddCheckpoint() { + const { t } = useTranslation(); + const dispatch = useAppDispatch(); + const manualAddCheckpointForm = useForm({ initialValues: { model_name: '', @@ -13,8 +29,99 @@ export default function ManualAddCheckpoint() { error: undefined, vae: '', variant: 'normal', - config: '', + config: 'configs\\stable-diffusion\\v1-inference.yaml', }, }); - return
ManualAddCheckpoint
; + + const [addMainModel] = useAddMainModelsMutation(); + + const [useCustomConfig, setUseCustomConfig] = useState(false); + + const manualAddCheckpointFormHandler = (values: CheckpointModelConfig) => { + addMainModel({ + body: values, + }) + .unwrap() + .then((_) => { + dispatch( + addToast( + makeToast({ + title: `Model Added: ${values.model_name}`, + status: 'success', + }) + ) + ); + manualAddCheckpointForm.reset(); + }) + .catch((error) => { + if (error) { + dispatch( + addToast( + makeToast({ + title: 'Model Add Failed', + status: 'error', + }) + ) + ); + } + }); + }; + + return ( +
+ manualAddCheckpointFormHandler(v) + )} + style={{ width: '100%' }} + > + + + + + + + + + {!useCustomConfig ? ( + + ) : ( + + )} + setUseCustomConfig(!useCustomConfig)} + label="Use Custom Config" + /> + + {t('modelManager.addModel')} + + + +
+ ); } diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ManualAddDiffusers.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ManualAddDiffusers.tsx index 1e51006dcd..a4b6870a54 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ManualAddDiffusers.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ManualAddDiffusers.tsx @@ -31,7 +31,6 @@ export default function ManualAddDiffusers() { }, }); const manualAddDiffusersFormHandler = (values: DiffusersModelConfig) => { - console.log(values); addMainModel({ body: values, }) @@ -80,6 +79,7 @@ export default function ManualAddDiffusers() { ; + +export default function CheckpointConfigsSelect( + props: CheckpointConfigSelectProps +) { + const { data: availableCheckpointConfigs } = useGetCheckpointConfigsQuery(); + const { ...rest } = props; + + return ( + + ); +} diff --git a/invokeai/frontend/web/src/services/api/endpoints/models.ts b/invokeai/frontend/web/src/services/api/endpoints/models.ts index e0177ca8d1..d9cbaf69dd 100644 --- a/invokeai/frontend/web/src/services/api/endpoints/models.ts +++ b/invokeai/frontend/web/src/services/api/endpoints/models.ts @@ -96,6 +96,9 @@ type AddMainModelResponse = type SearchFolderResponse = paths['/api/v1/models/search']['get']['responses']['200']['content']['application/json']; +type CheckpointConfigsResponse = + paths['/api/v1/models/ckpt_confs']['get']['responses']['200']['content']['application/json']; + type SearchFolderArg = operations['search_for_models']['parameters']['query']; const mainModelsAdapter = createEntityAdapter({ @@ -383,6 +386,13 @@ export const modelsApi = api.injectEndpoints({ }; }, }), + getCheckpointConfigs: build.query({ + query: () => { + return { + url: `/models/ckpt_confs`, + }; + }, + }), }), }); @@ -399,4 +409,5 @@ export const { useConvertMainModelsMutation, useMergeMainModelsMutation, useGetModelsInFolderQuery, + useGetCheckpointConfigsQuery, } = modelsApi; From 5b047baeb0ada35c9212d32a6de161e3785da059 Mon Sep 17 00:00:00 2001 From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com> Date: Sun, 16 Jul 2023 15:29:01 +1200 Subject: [PATCH 28/72] fix: Mantine Required icon being on new line --- .../frontend/web/src/common/components/IAIMantineSelect.tsx | 4 ++-- .../subpanels/AddModelsPanel/ManualAddCheckpoint.tsx | 1 + 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/invokeai/frontend/web/src/common/components/IAIMantineSelect.tsx b/invokeai/frontend/web/src/common/components/IAIMantineSelect.tsx index 537ccf86be..46b5fc95f6 100644 --- a/invokeai/frontend/web/src/common/components/IAIMantineSelect.tsx +++ b/invokeai/frontend/web/src/common/components/IAIMantineSelect.tsx @@ -16,7 +16,7 @@ export type IAISelectProps = Omit & { }; const IAIMantineSelect = (props: IAISelectProps) => { - const { tooltip, inputRef, label, disabled, ...rest } = props; + const { tooltip, inputRef, label, disabled, required, ...rest } = props; const styles = useMantineSelectStyles(); @@ -25,7 +25,7 @@ const IAIMantineSelect = (props: IAISelectProps) => { - + } + width={imageDTO.width} + height={imageDTO.height} + onError={onError} + draggable={false} + sx={{ + objectFit: 'contain', + maxW: 'full', + maxH: 'full', + borderRadius: 'base', + shadow: isSelected ? 'selected.light' : undefined, + _dark: { shadow: isSelected ? 'selected.dark' : undefined }, + ...imageSx, + }} + /> + {withMetadataOverlay && } + + )} + {!imageDTO && !isUploadDisabled && ( + <> + + + + + + )} + {!imageDTO && isUploadDisabled && noContentFallback} + {!isDropDisabled && ( + + )} + {imageDTO && !isDragDisabled && ( + + )} + {onClickReset && withResetIcon && imageDTO && ( + - - + )} + )} - {!imageDTO && isUploadDisabled && noContentFallback} - {!isDropDisabled && ( - - )} - {imageDTO && !isDragDisabled && ( - - )} - {onClickReset && withResetIcon && imageDTO && ( - - )} - + ); }; diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolbar.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolbar.tsx index 04d3e81379..e90c771c63 100644 --- a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolbar.tsx +++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolbar.tsx @@ -48,6 +48,7 @@ import IAICanvasRedoButton from './IAICanvasRedoButton'; import IAICanvasSettingsButtonPopover from './IAICanvasSettingsButtonPopover'; import IAICanvasToolChooserOptions from './IAICanvasToolChooserOptions'; import IAICanvasUndoButton from './IAICanvasUndoButton'; +import { useCopyImageToClipboard } from 'features/ui/hooks/useCopyImageToClipboard'; export const selector = createSelector( [systemSelector, canvasSelector, isStagingSelector], @@ -79,6 +80,7 @@ const IAICanvasToolbar = () => { const canvasBaseLayer = getCanvasBaseLayer(); const { t } = useTranslation(); + const { isClipboardAPIAvailable } = useCopyImageToClipboard(); const { openUploader } = useImageUploader(); @@ -136,10 +138,10 @@ const IAICanvasToolbar = () => { handleCopyImageToClipboard(); }, { - enabled: () => !isStaging, + enabled: () => !isStaging && isClipboardAPIAvailable, preventDefault: true, }, - [canvasBaseLayer, isProcessing] + [canvasBaseLayer, isProcessing, isClipboardAPIAvailable] ); useHotkeys( @@ -189,6 +191,9 @@ const IAICanvasToolbar = () => { }; const handleCopyImageToClipboard = () => { + if (!isClipboardAPIAvailable) { + return; + } dispatch(canvasCopiedToClipboard()); }; @@ -256,13 +261,15 @@ const IAICanvasToolbar = () => { onClick={handleSaveToGallery} isDisabled={isStaging} /> - } - onClick={handleCopyImageToClipboard} - isDisabled={isStaging} - /> + {isClipboardAPIAvailable && ( + } + onClick={handleCopyImageToClipboard} + isDisabled={isStaging} + /> + )} { const toaster = useAppToaster(); const { t } = useTranslation(); + const { isClipboardAPIAvailable, copyImageToClipboard } = + useCopyImageToClipboard(); + const { recallBothPrompts, recallSeed, recallAllParameters } = useRecallParameters(); @@ -128,7 +132,7 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => { 500 ); - const { currentData: image, isFetching } = useGetImageDTOQuery( + const { currentData: imageDTO, isFetching } = useGetImageDTOQuery( lastSelectedImage ?? skipToken ); @@ -142,15 +146,15 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => { const handleCopyImageLink = useCallback(() => { const getImageUrl = () => { - if (!image) { + if (!imageDTO) { return; } - if (image.image_url.startsWith('http')) { - return image.image_url; + if (imageDTO.image_url.startsWith('http')) { + return imageDTO.image_url; } - return window.location.toString() + image.image_url; + return window.location.toString() + imageDTO.image_url; }; const url = getImageUrl(); @@ -174,7 +178,7 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => { isClosable: true, }); }); - }, [toaster, t, image]); + }, [toaster, t, imageDTO]); const handleClickUseAllParameters = useCallback(() => { recallAllParameters(metadata); @@ -192,31 +196,31 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => { recallSeed(metadata?.seed); }, [metadata?.seed, recallSeed]); - useHotkeys('s', handleUseSeed, [image]); + useHotkeys('s', handleUseSeed, [imageDTO]); const handleUsePrompt = useCallback(() => { recallBothPrompts(metadata?.positive_prompt, metadata?.negative_prompt); }, [metadata?.negative_prompt, metadata?.positive_prompt, recallBothPrompts]); - useHotkeys('p', handleUsePrompt, [image]); + useHotkeys('p', handleUsePrompt, [imageDTO]); const handleSendToImageToImage = useCallback(() => { dispatch(sentImageToImg2Img()); - dispatch(initialImageSelected(image)); - }, [dispatch, image]); + dispatch(initialImageSelected(imageDTO)); + }, [dispatch, imageDTO]); - useHotkeys('shift+i', handleSendToImageToImage, [image]); + useHotkeys('shift+i', handleSendToImageToImage, [imageDTO]); const handleClickUpscale = useCallback(() => { // selectedImage && dispatch(runESRGAN(selectedImage)); }, []); const handleDelete = useCallback(() => { - if (!image) { + if (!imageDTO) { return; } - dispatch(imageToDeleteSelected(image)); - }, [dispatch, image]); + dispatch(imageToDeleteSelected(imageDTO)); + }, [dispatch, imageDTO]); useHotkeys( 'Shift+U', @@ -236,7 +240,7 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => { }, [ isUpscalingEnabled, - image, + imageDTO, isESRGANAvailable, shouldDisableToolbarButtons, isConnected, @@ -268,7 +272,7 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => { [ isFaceRestoreEnabled, - image, + imageDTO, isGFPGANAvailable, shouldDisableToolbarButtons, isConnected, @@ -283,10 +287,10 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => { ); const handleSendToCanvas = useCallback(() => { - if (!image) return; + if (!imageDTO) return; dispatch(sentImageToCanvas()); - dispatch(setInitialCanvasImage(image)); + dispatch(setInitialCanvasImage(imageDTO)); dispatch(requestCanvasRescale()); if (activeTabName !== 'unifiedCanvas') { @@ -299,12 +303,12 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => { duration: 2500, isClosable: true, }); - }, [image, dispatch, activeTabName, toaster, t]); + }, [imageDTO, dispatch, activeTabName, toaster, t]); useHotkeys( 'i', () => { - if (image) { + if (imageDTO) { handleClickShowImageDetails(); } else { toaster({ @@ -315,13 +319,20 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => { }); } }, - [image, shouldShowImageDetails, toaster] + [imageDTO, shouldShowImageDetails, toaster] ); const handleClickProgressImagesToggle = useCallback(() => { dispatch(setShouldShowProgressInViewer(!shouldShowProgressInViewer)); }, [dispatch, shouldShowProgressInViewer]); + const handleCopyImage = useCallback(() => { + if (!imageDTO) { + return; + } + copyImageToClipboard(imageDTO.image_url); + }, [copyImageToClipboard, imageDTO]); + return ( <> { } /> } @@ -369,13 +380,15 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => { )} - {/* } - > - {t('parameters.copyImage')} - */} + {isClipboardAPIAvailable && ( + } + > + {t('parameters.copyImage')} + + )} { {t('parameters.copyImageToLink')} - + } size="sm" w="100%"> {t('parameters.downloadImage')} @@ -443,7 +456,7 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => { { ['children']; }; @@ -64,20 +64,25 @@ const ImageContextMenu = ({ imageDTO, children }: Props) => { return ( menuProps={{ size: 'sm', isLazy: true }} - menuButtonProps={{ bg: 'transparent', _hover: { bg: 'transparent' } }} - renderMenu={() => ( - - {selectionCount === 1 ? ( - - ) : ( - - )} - - )} + menuButtonProps={{ + bg: 'transparent', + _hover: { bg: 'transparent' }, + }} + renderMenu={() => + imageDTO ? ( + + {selectionCount === 1 ? ( + + ) : ( + + )} + + ) : null + } > {children} diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx index fda984e2c3..3dea6fea34 100644 --- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx @@ -14,10 +14,11 @@ import { imageToDeleteSelected } from 'features/imageDeletion/store/imageDeletio import { useRecallParameters } from 'features/parameters/hooks/useRecallParameters'; import { initialImageSelected } from 'features/parameters/store/actions'; import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus'; +import { useCopyImageToClipboard } from 'features/ui/hooks/useCopyImageToClipboard'; import { setActiveTab } from 'features/ui/store/uiSlice'; import { memo, useCallback, useContext, useMemo } from 'react'; import { useTranslation } from 'react-i18next'; -import { FaFolder, FaShare, FaTrash } from 'react-icons/fa'; +import { FaCopy, FaFolder, FaShare, FaTrash } from 'react-icons/fa'; import { IoArrowUndoCircleOutline } from 'react-icons/io5'; import { useRemoveImageFromBoardMutation } from 'services/api/endpoints/boardImages'; import { useGetImageMetadataQuery } from 'services/api/endpoints/images'; @@ -61,6 +62,9 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => { const { currentData } = useGetImageMetadataQuery(imageDTO.image_name); + const { isClipboardAPIAvailable, copyImageToClipboard } = + useCopyImageToClipboard(); + const metadata = currentData?.metadata; const handleDelete = useCallback(() => { @@ -130,11 +134,20 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => { dispatch(imagesAddedToBatch([imageDTO.image_name])); }, [dispatch, imageDTO.image_name]); + const handleCopyImage = useCallback(() => { + copyImageToClipboard(imageDTO.image_url); + }, [copyImageToClipboard, imageDTO.image_url]); + return ( <> } onClickCapture={handleOpenInNewTab}> {t('common.openInNewTab')} + {isClipboardAPIAvailable && ( + } onClickCapture={handleCopyImage}> + {t('parameters.copyImage')} + + )} } onClickCapture={handleRecallPrompt} diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasCopyToClipboard.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasCopyToClipboard.tsx index 5e23a4c0d6..a68794a930 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasCopyToClipboard.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasCopyToClipboard.tsx @@ -4,6 +4,8 @@ import IAIIconButton from 'common/components/IAIIconButton'; import { canvasCopiedToClipboard } from 'features/canvas/store/actions'; import { isStagingSelector } from 'features/canvas/store/canvasSelectors'; import { getCanvasBaseLayer } from 'features/canvas/util/konvaInstanceProvider'; +import { useCopyImageToClipboard } from 'features/ui/hooks/useCopyImageToClipboard'; +import { useCallback } from 'react'; import { useHotkeys } from 'react-hotkeys-hook'; import { useTranslation } from 'react-i18next'; import { FaCopy } from 'react-icons/fa'; @@ -11,6 +13,7 @@ import { FaCopy } from 'react-icons/fa'; export default function UnifiedCanvasCopyToClipboard() { const isStaging = useAppSelector(isStagingSelector); const canvasBaseLayer = getCanvasBaseLayer(); + const { isClipboardAPIAvailable } = useCopyImageToClipboard(); const isProcessing = useAppSelector( (state: RootState) => state.system.isProcessing @@ -25,15 +28,22 @@ export default function UnifiedCanvasCopyToClipboard() { handleCopyImageToClipboard(); }, { - enabled: () => !isStaging, + enabled: () => !isStaging && isClipboardAPIAvailable, preventDefault: true, }, - [canvasBaseLayer, isProcessing] + [canvasBaseLayer, isProcessing, isClipboardAPIAvailable] ); - const handleCopyImageToClipboard = () => { + const handleCopyImageToClipboard = useCallback(() => { + if (!isClipboardAPIAvailable) { + return; + } dispatch(canvasCopiedToClipboard()); - }; + }, [dispatch, isClipboardAPIAvailable]); + + if (!isClipboardAPIAvailable) { + return null; + } return ( { + const toaster = useAppToaster(); + const { t } = useTranslation(); + + const isClipboardAPIAvailable = useMemo(() => { + return Boolean(navigator.clipboard) && Boolean(window.ClipboardItem); + }, []); + + const copyImageToClipboard = useCallback( + async (image_url: string) => { + if (!isClipboardAPIAvailable) { + toaster({ + title: t('toast.problemCopyingImage'), + description: "Your browser doesn't support the Clipboard API.", + status: 'error', + duration: 2500, + isClosable: true, + }); + } + try { + const response = await fetch(image_url); + const blob = await response.blob(); + await navigator.clipboard.write([ + new ClipboardItem({ + [blob.type]: blob, + }), + ]); + toaster({ + title: t('toast.imageCopied'), + status: 'success', + duration: 2500, + isClosable: true, + }); + } catch (err) { + toaster({ + title: t('toast.problemCopyingImage'), + description: String(err), + status: 'error', + duration: 2500, + isClosable: true, + }); + } + }, + [isClipboardAPIAvailable, t, toaster] + ); + + return { isClipboardAPIAvailable, copyImageToClipboard }; +}; From c82ae746100685aa0eba4c96d9275435a123b800 Mon Sep 17 00:00:00 2001 From: psychedelicious <4822129+psychedelicious@users.noreply.github.com> Date: Mon, 17 Jul 2023 19:17:11 +1000 Subject: [PATCH 65/72] feat(ui): consolidate imagecontextmenu and send to menu Both support the same actions: - Open in new tab - Copy image (if supported by browser) - Use prompt - Use seed - Use all - Send to img2img - Send to canvas - Change board - Download image - Delete --- .../CurrentImage/CurrentImageButtons.tsx | 84 ++++++------------- .../ImageContextMenu/ImageContextMenu.tsx | 29 +------ .../SingleSelectionMenuItems.tsx | 38 ++++++--- .../frontend/web/src/theme/components/menu.ts | 30 +++++++ 4 files changed, 84 insertions(+), 97 deletions(-) diff --git a/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx b/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx index 0ef484b4be..c0c82d5456 100644 --- a/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx @@ -1,7 +1,16 @@ import { createSelector } from '@reduxjs/toolkit'; import { isEqual } from 'lodash-es'; -import { ButtonGroup, Flex, FlexProps, Link } from '@chakra-ui/react'; +import { + ButtonGroup, + Flex, + FlexProps, + Link, + Menu, + MenuButton, + MenuItem, + MenuList, +} from '@chakra-ui/react'; // import { runESRGAN, runFacetool } from 'app/socketio/actions'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import IAIButton from 'common/components/IAIButton'; @@ -49,6 +58,8 @@ import { } from 'services/api/endpoints/images'; import { useDebounce } from 'use-debounce'; import { sentImageToCanvas, sentImageToImg2Img } from '../../store/actions'; +import { menuListMotionProps } from 'theme/components/menu'; +import SingleSelectionMenuItems from '../ImageContextMenu/SingleSelectionMenuItems'; const currentImageButtonsSelector = createSelector( [stateSelector, activeTabNameSelector], @@ -345,65 +356,18 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => { {...props} > - } - /> - } - > - - } - id="send-to-img2img" - > - {t('parameters.sendToImg2Img')} - - {isCanvasEnabled && ( - } - id="send-to-canvas" - > - {t('parameters.sendToUnifiedCanvas')} - - )} - - {isClipboardAPIAvailable && ( - } - > - {t('parameters.copyImage')} - - )} - } - > - {t('parameters.copyImageToLink')} - - - - } size="sm" w="100%"> - {t('parameters.downloadImage')} - - - - + + } + /> + + {imageDTO && } + + diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/ImageContextMenu.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/ImageContextMenu.tsx index 8d8e7233c2..a903b36caf 100644 --- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/ImageContextMenu.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/ImageContextMenu.tsx @@ -6,40 +6,15 @@ import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; import { ContextMenu, ContextMenuProps } from 'chakra-ui-contextmenu'; import { MouseEvent, memo, useCallback, useMemo } from 'react'; import { ImageDTO } from 'services/api/types'; +import { menuListMotionProps } from 'theme/components/menu'; import MultipleSelectionMenuItems from './MultipleSelectionMenuItems'; import SingleSelectionMenuItems from './SingleSelectionMenuItems'; -import { MotionProps } from 'framer-motion'; type Props = { imageDTO: ImageDTO | undefined; children: ContextMenuProps['children']; }; -const motionProps: MotionProps = { - variants: { - enter: { - visibility: 'visible', - opacity: 1, - scale: 1, - transition: { - duration: 0.07, - ease: [0.4, 0, 0.2, 1], - }, - }, - exit: { - transitionEnd: { - visibility: 'hidden', - }, - opacity: 0, - scale: 0.8, - transition: { - duration: 0.07, - easings: 'easeOut', - }, - }, - }, -}; - const ImageContextMenu = ({ imageDTO, children }: Props) => { const selector = useMemo( () => @@ -72,7 +47,7 @@ const ImageContextMenu = ({ imageDTO, children }: Props) => { imageDTO ? ( {selectionCount === 1 ? ( diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx index 3dea6fea34..95872495df 100644 --- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx @@ -1,5 +1,4 @@ -import { ExternalLinkIcon } from '@chakra-ui/icons'; -import { MenuItem } from '@chakra-ui/react'; +import { Link, MenuItem } from '@chakra-ui/react'; import { createSelector } from '@reduxjs/toolkit'; import { useAppToaster } from 'app/components/Toaster'; import { stateSelector } from 'app/store/store'; @@ -18,8 +17,17 @@ import { useCopyImageToClipboard } from 'features/ui/hooks/useCopyImageToClipboa import { setActiveTab } from 'features/ui/store/uiSlice'; import { memo, useCallback, useContext, useMemo } from 'react'; import { useTranslation } from 'react-i18next'; -import { FaCopy, FaFolder, FaShare, FaTrash } from 'react-icons/fa'; -import { IoArrowUndoCircleOutline } from 'react-icons/io5'; +import { + FaAsterisk, + FaCopy, + FaDownload, + FaExternalLinkAlt, + FaFolder, + FaQuoteRight, + FaSeedling, + FaShare, + FaTrash, +} from 'react-icons/fa'; import { useRemoveImageFromBoardMutation } from 'services/api/endpoints/boardImages'; import { useGetImageMetadataQuery } from 'services/api/endpoints/images'; import { ImageDTO } from 'services/api/types'; @@ -140,16 +148,21 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => { return ( <> - } onClickCapture={handleOpenInNewTab}> - {t('common.openInNewTab')} - + + } + onClickCapture={handleOpenInNewTab} + > + {t('common.openInNewTab')} + + {isClipboardAPIAvailable && ( } onClickCapture={handleCopyImage}> {t('parameters.copyImage')} )} } + icon={} onClickCapture={handleRecallPrompt} isDisabled={ metadata?.positive_prompt === undefined && @@ -160,14 +173,14 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => { } + icon={} onClickCapture={handleRecallSeed} isDisabled={metadata?.seed === undefined} > {t('parameters.useSeed')} } + icon={} onClickCapture={handleUseAllParameters} isDisabled={!metadata} > @@ -206,6 +219,11 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => { Remove from Board )} + + } w="100%"> + {t('parameters.downloadImage')} + + } diff --git a/invokeai/frontend/web/src/theme/components/menu.ts b/invokeai/frontend/web/src/theme/components/menu.ts index 324720a040..563c5ce6a9 100644 --- a/invokeai/frontend/web/src/theme/components/menu.ts +++ b/invokeai/frontend/web/src/theme/components/menu.ts @@ -1,6 +1,7 @@ import { menuAnatomy } from '@chakra-ui/anatomy'; import { createMultiStyleConfigHelpers } from '@chakra-ui/react'; import { mode } from '@chakra-ui/theme-tools'; +import { MotionProps } from 'framer-motion'; const { definePartsStyle, defineMultiStyleConfig } = createMultiStyleConfigHelpers(menuAnatomy.keys); @@ -21,6 +22,7 @@ const invokeAI = definePartsStyle((props) => ({ }, list: { zIndex: 9999, + color: mode('base.900', 'base.150')(props), bg: mode('base.200', 'base.800')(props), shadow: 'dark-lg', border: 'none', @@ -35,6 +37,9 @@ const invokeAI = definePartsStyle((props) => ({ _focus: { bg: mode('base.400', 'base.600')(props), }, + svg: { + opacity: 0.5, + }, }, })); @@ -46,3 +51,28 @@ export const menuTheme = defineMultiStyleConfig({ variant: 'invokeAI', }, }); + +export const menuListMotionProps: MotionProps = { + variants: { + enter: { + visibility: 'visible', + opacity: 1, + scale: 1, + transition: { + duration: 0.07, + ease: [0.4, 0, 0.2, 1], + }, + }, + exit: { + transitionEnd: { + visibility: 'hidden', + }, + opacity: 0, + scale: 0.8, + transition: { + duration: 0.07, + easings: 'easeOut', + }, + }, + }, +}; From 0fce35c54cbc8ad5b2cae811c36a783037edeff7 Mon Sep 17 00:00:00 2001 From: Sergey Borisov Date: Mon, 17 Jul 2023 23:53:50 +0300 Subject: [PATCH 66/72] Cleanup, fix variable name, fix controlnet for sequential and cross attention guidance --- .../stable_diffusion/diffusers_pipeline.py | 14 ++---- .../diffusion/shared_invokeai_diffusion.py | 46 ++++++++++++++++++- 2 files changed, 48 insertions(+), 12 deletions(-) diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py index 120bfb9663..228fbd0585 100644 --- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py +++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py @@ -422,7 +422,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline): noise: torch.Tensor, callback: Callable[[PipelineIntermediateState], None] = None, run_id=None, - **kwargs, ) -> InvokeAIStableDiffusionPipelineOutput: r""" Function invoked when calling the pipeline for generation. @@ -443,7 +442,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline): noise=noise, run_id=run_id, callback=callback, - **kwargs, ) # https://discuss.huggingface.co/t/memory-usage-by-later-pipeline-stages/23699 torch.cuda.empty_cache() @@ -469,7 +467,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline): run_id=None, callback: Callable[[PipelineIntermediateState], None] = None, control_data: List[ControlNetData] = None, - **kwargs, ) -> tuple[torch.Tensor, Optional[AttentionMapSaver]]: if self.scheduler.config.get("cpu_only", False): scheduler_device = torch.device('cpu') @@ -487,11 +484,11 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline): timesteps, conditioning_data, noise=noise, - additional_guidance=additional_guidance, run_id=run_id, - callback=callback, + additional_guidance=additional_guidance, control_data=control_data, - **kwargs, + + callback=callback, ) return result.latents, result.attention_map_saver @@ -505,7 +502,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline): run_id: str = None, additional_guidance: List[Callable] = None, control_data: List[ControlNetData] = None, - **kwargs, ): self._adjust_memory_efficient_attention(latents) if run_id is None: @@ -546,7 +542,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline): total_step_count=len(timesteps), additional_guidance=additional_guidance, control_data=control_data, - **kwargs, ) latents = step_output.prev_sample @@ -588,7 +583,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline): total_step_count: int, additional_guidance: List[Callable] = None, control_data: List[ControlNetData] = None, - **kwargs, ): # invokeai_diffuser has batched timesteps, but diffusers schedulers expect a single value timestep = t[0] @@ -634,7 +628,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline): encoder_hidden_states = conditioning_data.text_embeddings encoder_attention_mask = None else: - encoder_hidden_states, encoder_hidden_states = self.invokeai_diffuser._concat_conditionings_for_batch( + encoder_hidden_states, encoder_attention_mask = self.invokeai_diffuser._concat_conditionings_for_batch( conditioning_data.unconditioned_embeddings, conditioning_data.text_embeddings, ) diff --git a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py index b637ceb815..f44578cd47 100644 --- a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py +++ b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py @@ -297,8 +297,32 @@ class InvokeAIDiffuserComponent: **kwargs, ): # low-memory sequential path - unconditioned_next_x = self.model_forward_callback(x, sigma, unconditioning, **kwargs) - conditioned_next_x = self.model_forward_callback(x, sigma, conditioning, **kwargs) + uncond_down_block, cond_down_block = None, None + down_block_additional_residuals = kwargs.pop("down_block_additional_residuals", None) + if down_block_additional_residuals is not None: + uncond_down_block, cond_down_block = [], [] + for down_block in down_block_additional_residuals: + _uncond_down, _cond_down = down_block.chunk(2) + uncond_down_block.append(_uncond_down) + cond_down_block.append(_cond_down) + + uncond_mid_block, cond_mid_block = None, None + mid_block_additional_residual = kwargs.pop("mid_block_additional_residual", None) + if mid_block_additional_residual is not None: + uncond_mid_block, cond_mid_block = mid_block_additional_residual.chunk(2) + + unconditioned_next_x = self.model_forward_callback( + x, sigma, unconditioning, + down_block_additional_residuals=uncond_down_block, + mid_block_additional_residual=uncond_mid_block, + **kwargs, + ) + conditioned_next_x = self.model_forward_callback( + x, sigma, conditioning, + down_block_additional_residuals=cond_down_block, + mid_block_additional_residual=cond_mid_block, + **kwargs, + ) return unconditioned_next_x, conditioned_next_x # TODO: looks unused @@ -332,6 +356,20 @@ class InvokeAIDiffuserComponent: ): context: Context = self.cross_attention_control_context + uncond_down_block, cond_down_block = None, None + down_block_additional_residuals = kwargs.pop("down_block_additional_residuals", None) + if down_block_additional_residuals is not None: + uncond_down_block, cond_down_block = [], [] + for down_block in down_block_additional_residuals: + _uncond_down, _cond_down = down_block.chunk(2) + uncond_down_block.append(_uncond_down) + cond_down_block.append(_cond_down) + + uncond_mid_block, cond_mid_block = None, None + mid_block_additional_residual = kwargs.pop("mid_block_additional_residual", None) + if mid_block_additional_residual is not None: + uncond_mid_block, cond_mid_block = mid_block_additional_residual.chunk(2) + cross_attn_processor_context = SwapCrossAttnContext( modified_text_embeddings=context.arguments.edited_conditioning, index_map=context.cross_attention_index_map, @@ -344,6 +382,8 @@ class InvokeAIDiffuserComponent: sigma, unconditioning, {"swap_cross_attn_context": cross_attn_processor_context}, + down_block_additional_residuals=uncond_down_block, + mid_block_additional_residual=uncond_mid_block, **kwargs, ) @@ -356,6 +396,8 @@ class InvokeAIDiffuserComponent: sigma, conditioning, {"swap_cross_attn_context": cross_attn_processor_context}, + down_block_additional_residuals=cond_down_block, + mid_block_additional_residual=cond_mid_block, **kwargs, ) return unconditioned_next_x, conditioned_next_x From 3f8e97854358e1425f22e899568bfb3eeac64c97 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Mon, 17 Jul 2023 17:09:51 -0400 Subject: [PATCH 67/72] remove yarn.lock from repo --- invokeai/frontend/web/yarn.lock | 7194 ------------------------------- 1 file changed, 7194 deletions(-) delete mode 100644 invokeai/frontend/web/yarn.lock diff --git a/invokeai/frontend/web/yarn.lock b/invokeai/frontend/web/yarn.lock deleted file mode 100644 index b4d45c32aa..0000000000 --- a/invokeai/frontend/web/yarn.lock +++ /dev/null @@ -1,7194 +0,0 @@ -# THIS IS AN AUTOGENERATED FILE. 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Now inside ScrollArea - Now displays installed models --- .../web/src/common/components/IAIInput.tsx | 18 ++- .../AddModelsPanel/FoundModelsList.tsx | 144 +++++++++++------- .../AddModelsPanel/ScanAdvancedAddModels.tsx | 4 +- .../subpanels/AddModelsPanel/ScanModels.tsx | 2 +- .../AddModelsPanel/SearchFolderForm.tsx | 7 +- .../subpanels/ModelManagerPanel/ModelList.tsx | 10 +- 6 files changed, 118 insertions(+), 67 deletions(-) diff --git a/invokeai/frontend/web/src/common/components/IAIInput.tsx b/invokeai/frontend/web/src/common/components/IAIInput.tsx index d114fc5968..31dac20998 100644 --- a/invokeai/frontend/web/src/common/components/IAIInput.tsx +++ b/invokeai/frontend/web/src/common/components/IAIInput.tsx @@ -8,19 +8,34 @@ import { import { useAppDispatch } from 'app/store/storeHooks'; import { stopPastePropagation } from 'common/util/stopPastePropagation'; import { shiftKeyPressed } from 'features/ui/store/hotkeysSlice'; -import { ChangeEvent, KeyboardEvent, memo, useCallback } from 'react'; +import { + CSSProperties, + ChangeEvent, + KeyboardEvent, + memo, + useCallback, +} from 'react'; interface IAIInputProps extends InputProps { label?: string; + labelPos?: 'top' | 'side'; value?: string; size?: string; onChange?: (e: ChangeEvent) => void; formControlProps?: Omit; } +const labelPosVerticalStyle: CSSProperties = { + display: 'flex', + flexDirection: 'row', + alignItems: 'center', + gap: 10, +}; + const IAIInput = (props: IAIInputProps) => { const { label = '', + labelPos = 'top', isDisabled = false, isInvalid, formControlProps, @@ -51,6 +66,7 @@ const IAIInput = (props: IAIInputProps) => { isInvalid={isInvalid} isDisabled={isDisabled} {...formControlProps} + style={labelPos === 'side' ? labelPosVerticalStyle : undefined} > {label !== '' && {label}} { + return models.map((model) => { + return ( + + + + {model.split('\\').slice(-1)[0]} + + + {model} + + + {showActions ? ( + + + Quick Add + + dispatch(setAdvancedAddScanModel(model))} + isLoading={isLoading} + > + Advanced + + + ) : ( + + Installed + + )} + + ); + }); + }; + const renderFoundModels = () => { if (!searchFolder) return; @@ -125,8 +203,12 @@ export default function FoundModelsList() { + + Models Found: {foundModels.length} + - Found Models: {foundModels.length} - - - Not Installed: {notInstalledModels.length} + Not Installed: {filteredModels.length} - {filteredModels.map((model) => ( - - - - {model.split('\\').slice(-1)[0]} - - - {model} - - - - - Quick Add - - dispatch(setAdvancedAddScanModel(model))} - isLoading={isLoading} - > - Advanced - - + + + {renderModels({ models: filteredModels })} + {renderModels({ models: alreadyInstalled, showActions: false })} - ))} + ); }; diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ScanAdvancedAddModels.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ScanAdvancedAddModels.tsx index e5b89c7bbf..d49e429306 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ScanAdvancedAddModels.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ScanAdvancedAddModels.tsx @@ -43,8 +43,8 @@ export default function ScanAdvancedAddModels() { sx={{ display: 'flex', flexDirection: 'column', - minWidth: '50%', - maxHeight: window.innerHeight - 330, + minWidth: '40%', + maxHeight: window.innerHeight - 300, overflow: 'scroll', p: 4, gap: 4, diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ScanModels.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ScanModels.tsx index c7b4da9479..fc1b6b321f 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ScanModels.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ScanModels.tsx @@ -10,7 +10,7 @@ export default function ScanModels() { @@ -67,7 +62,7 @@ function SearchFolderForm() { _dark: { color: 'base.300' }, }} > - Search Folder + Folder {!searchFolder ? ( { return ( - { + + {['all', 'diffusers'].includes(modelFormatFilter) && filteredDiffusersModels.length > 0 && ( From 6d688ca87dda3f04d625ee5fdb192d1eb654704a Mon Sep 17 00:00:00 2001 From: psychedelicious <4822129+psychedelicious@users.noreply.github.com> Date: Tue, 18 Jul 2023 10:11:45 +1000 Subject: [PATCH 71/72] docs: add vscode setup instructions - using vscode python debugger - automatic python environment activation - remote dev --- docs/contributing/LOCAL_DEVELOPMENT.md | 190 +++++++++++++++++++++++++ 1 file changed, 190 insertions(+) diff --git a/docs/contributing/LOCAL_DEVELOPMENT.md b/docs/contributing/LOCAL_DEVELOPMENT.md index 956ef5ec03..71afb36d6b 100644 --- a/docs/contributing/LOCAL_DEVELOPMENT.md +++ b/docs/contributing/LOCAL_DEVELOPMENT.md @@ -81,3 +81,193 @@ pytest --cov; open ./coverage/html/index.html --8<-- "invokeai/frontend/web/README.md" + +## Developing InvokeAI in VSCode + +VSCode offers some nice tools: + +- python debugger +- automatic `venv` activation +- remote dev (e.g. run InvokeAI on a beefy linux desktop while you type in + comfort on your macbook) + +### Setup + +You'll need the +[Python](https://marketplace.visualstudio.com/items?itemName=ms-python.python) +and +[Pylance](https://marketplace.visualstudio.com/items?itemName=ms-python.vscode-pylance) +extensions installed first. + +It's also really handy to install the `Jupyter` extensions: + +- [Jupyter](https://marketplace.visualstudio.com/items?itemName=ms-toolsai.jupyter) +- [Jupyter Cell Tags](https://marketplace.visualstudio.com/items?itemName=ms-toolsai.vscode-jupyter-cell-tags) +- [Jupyter Notebook Renderers](https://marketplace.visualstudio.com/items?itemName=ms-toolsai.jupyter-renderers) +- [Jupyter Slide Show](https://marketplace.visualstudio.com/items?itemName=ms-toolsai.vscode-jupyter-slideshow) + +#### InvokeAI workspace + +Creating a VSCode workspace for working on InvokeAI is highly recommended. It +can hold InvokeAI-specific settings and configs. + +To make a workspace: + +- Open the InvokeAI repo dir in VSCode +- `File` > `Save Workspace As` > save it _outside_ the repo + +#### Default python interpreter (i.e. automatic virtual environment activation) + +- Use command palette to run command + `Preferences: Open Workspace Settings (JSON)` +- Add `python.defaultInterpreterPath` to `settings`, pointing to your `venv`'s + python + +Should look something like this: + +```json +{ + // I like to have all InvokeAI-related folders in my workspace + "folders": [ + { + // repo root + "path": "InvokeAI" + }, + { + // InvokeAI root dir, where `invokeai.yaml` lives + "path": "/path/to/invokeai_root" + } + ], + "settings": { + // Where your InvokeAI `venv`'s python executable lives + "python.defaultInterpreterPath": "/path/to/invokeai_root/.venv/bin/python" + } +} +``` + +Now when you open the VSCode integrated terminal, or do anything that needs to +run python, it will automatically be in your InvokeAI virtual environment. + +Bonus: When you create a Jupyter notebook, when you run it, you'll be prompted +for the python interpreter to run in. This will default to your `venv` python, +and so you'll have access to the same python environment as the InvokeAI app. + +This is _super_ handy. + +#### Debugging configs with `launch.json` + +Debugging configs are managed in a `launch.json` file. Like most VSCode configs, +these can be scoped to a workspace or folder. + +Follow the [official guide](https://code.visualstudio.com/docs/python/debugging) +to set up your `launch.json` and try it out. + +Now we can create the InvokeAI debugging configs: + +```json +{ + // Use IntelliSense to learn about possible attributes. + // Hover to view descriptions of existing attributes. + // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387 + "version": "0.2.0", + "configurations": [ + { + // Run the InvokeAI backend & serve the pre-built UI + "name": "InvokeAI Web", + "type": "python", + "request": "launch", + "program": "scripts/invokeai-web.py", + "args": [ + // Your InvokeAI root dir (where `invokeai.yaml` lives) + "--root", + "/path/to/invokeai_root", + // Access the app from anywhere on your local network + "--host", + "0.0.0.0" + ], + "justMyCode": true + }, + { + // Run the nodes-based CLI + "name": "InvokeAI CLI", + "type": "python", + "request": "launch", + "program": "scripts/invokeai-cli.py", + "justMyCode": true + }, + { + // Run tests + "name": "InvokeAI Test", + "type": "python", + "request": "launch", + "module": "pytest", + "args": ["--capture=no"], + "justMyCode": true + }, + { + // Run a single test + "name": "InvokeAI Single Test", + "type": "python", + "request": "launch", + "module": "pytest", + "args": [ + // Change this to point to the specific test you are working on + "tests/nodes/test_invoker.py" + ], + "justMyCode": true + }, + { + // This is the default, useful to just run a single file + "name": "Python: File", + "type": "python", + "request": "launch", + "program": "${file}", + "justMyCode": true + } + ] +} +``` + +You'll see these configs in the debugging configs drop down. Running them will +start InvokeAI with attached debugger, in the correct environment, and work just +like the normal app. + +Enjoy debugging InvokeAI with ease (not that we have any bugs of course). + +#### Remote dev + +This is very easy to set up and provides the same very smooth experience as +local development. Environments and debugging, as set up above, just work, +though you'd need to recreate the workspace and debugging configs on the remote. + +Consult the +[official guide](https://code.visualstudio.com/docs/remote/remote-overview) to +get it set up. + +Suggest using VSCode's included settings sync so that your remote dev host has +all the same app settings and extensions automagically. + +##### One remote dev gotcha + +I've found the automatic port forwarding to be very flakey. You can disable it +in `Preferences: Open Remote Settings (ssh: hostname)`. Search for +`remote.autoForwardPorts` and untick the box. + +To forward ports very reliably, use SSH on the remote dev client (e.g. your +macbook). Here's how to forward both backend API port (`9090`) and the frontend +live dev server port (`5173`): + +```bash +ssh \ + -L 9090:localhost:9090 \ + -L 5173:localhost:5173 \ + user@remote-dev-host +``` + +The forwarding stops when you close the terminal window, so suggest to do this +_outside_ the VSCode integrated terminal in case you need to restart VSCode for +an extension update or something + +Now, on your remote dev client, you can open `localhost:9090` and access the UI, +now served from the remote dev host, just the same as if it was running on the +client. From 7c3eb06a71d84fb32a8b11d64a1ca82f162635a3 Mon Sep 17 00:00:00 2001 From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com> Date: Tue, 18 Jul 2023 12:44:16 +1200 Subject: [PATCH 72/72] fix: Scan again not refetching the model list --- .../AddModelsPanel/SearchFolderForm.tsx | 37 +++++++++++++++---- 1 file changed, 29 insertions(+), 8 deletions(-) diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SearchFolderForm.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SearchFolderForm.tsx index 238a4bf0e9..129e82738f 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SearchFolderForm.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SearchFolderForm.tsx @@ -7,6 +7,7 @@ import IAIInput from 'common/components/IAIInput'; import { memo, useCallback } from 'react'; import { useTranslation } from 'react-i18next'; import { FaSearch, FaSync, FaTrash } from 'react-icons/fa'; +import { useGetModelsInFolderQuery } from 'services/api/endpoints/models'; import { setAdvancedAddScanModel, setSearchFolder, @@ -24,6 +25,10 @@ function SearchFolderForm() { (state: RootState) => state.modelmanager.searchFolder ); + const { refetch: refetchFoundModels } = useGetModelsInFolderQuery({ + search_path: searchFolder ? searchFolder : '', + }); + const searchFolderForm = useForm({ initialValues: { folder: '', @@ -37,6 +42,10 @@ function SearchFolderForm() { [dispatch] ); + const scanAgainHandler = () => { + refetchFoundModels(); + }; + return (
@@ -89,14 +98,26 @@ function SearchFolderForm() { - : } - fontSize={18} - size="sm" - type="submit" - /> + {!searchFolder ? ( + } + fontSize={18} + size="sm" + type="submit" + /> + ) : ( + } + onClick={scanAgainHandler} + fontSize={18} + size="sm" + /> + )} +