huchukato
42e9917f33
- Remove all API REST calls from get_model_info and get_model_files - Remove CLI fallback from download_file - Use only huggingface_hub for everything - Add snapshot_download support for entire repos - Remove deprecated local_dir_use_symlinks parameter - Much cleaner and more reliable approach
96 lines
3.8 KiB
Python
96 lines
3.8 KiB
Python
# ================================================
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# File: config.py
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# ================================================
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import os
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import folder_paths # Use ComfyUI's folder_paths
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# --- Configuration ---
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MAX_CONCURRENT_DOWNLOADS = 3
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DEFAULT_CHUNK_SIZE = 1024 * 1024 # 1MB
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DEFAULT_CONNECTIONS = 4
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DOWNLOAD_HISTORY_LIMIT = 100
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DOWNLOAD_TIMEOUT = 60 # Timeout for individual download chunks/requests (seconds)
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HEAD_REQUEST_TIMEOUT = 25 # Timeout for initial HEAD request (seconds)
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METADATA_DOWNLOAD_TIMEOUT = 20 # Timeout for downloading thumbnail (seconds)
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# --- Paths ---
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# The root directory of *this specific plugin/extension*
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# Calculated based on the location of this config.py file
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PLUGIN_ROOT = os.path.dirname(os.path.realpath(__file__))
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# Construct web paths relative to the plugin's root directory
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WEB_DIRECTORY = os.path.join(PLUGIN_ROOT, "web")
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JAVASCRIPT_PATH = os.path.join(WEB_DIRECTORY, "js")
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CSS_PATH = os.path.join(WEB_DIRECTORY, "css")
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# Corrected path construction to avoid issues with leading slashes
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PLACEHOLDER_IMAGE_PATH = os.path.join(WEB_DIRECTORY, "images", "placeholder.jpg")
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# Get ComfyUI directories using folder_paths
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COMFYUI_ROOT_DIR = folder_paths.base_path
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# MODELS_DIR removed; resolve per-type via folder_paths
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# --- Model Types ---
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# Maps the internal key (lowercase) to a tuple: (display_name, folder_paths_type)
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# The folder_paths_type is used by ComfyUI's folder_paths.get_directory_by_type().
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MODEL_TYPE_DIRS = {
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"checkpoint": ("Checkpoint", "checkpoints"),
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"diffusionmodels": ("Diffusion Models", "diffusion_models"), # Wan 2.2 and similar
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"diffusers": ("diffusers"), #Diffusers Models
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"unet": ("Unet", "unet"), # GGUF models
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"lora": ("Lora", "loras"),
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"locon": ("LoCon", "loras"),
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"lycoris": ("LyCORIS", "loras"),
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"vae": ("VAE", "vae"),
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"embedding": ("Embedding", "embeddings"),
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"hypernetwork": ("Hypernetwork", "hypernetworks"),
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"controlnet": ("ControlNet", "controlnet"),
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"upscaler": ("Upscaler", "upscale_models"),
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"motionmodule": ("Motion Module", "motion_models"),
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"poses": ("Poses", "poses"),
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"wildcards": ("Wildcards", "wildcards"),
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# 'other' will save to a dedicated folder inside the HuggingFace extension directory
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"other": ("Other", None)
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}
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# HuggingFace API specific type mapping (for search filters)
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# Maps internal key (lowercase) to HuggingFace API 'types' parameter value
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HUGGINGFACE_API_TYPE_MAP = {
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"checkpoint": "Checkpoint",
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"lora": "LORA",
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"locon": "LoCon",
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"lycoris": "LORA", # HuggingFace might group LyCORIS under LORA search type
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"vae": "VAE",
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"embedding": "TextualInversion",
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"hypernetwork": "Hypernetwork",
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"controlnet": "Controlnet",
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"motionmodule": "MotionModule",
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"poses": "Poses",
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"wildcards": "Wildcards",
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"upscaler": "Upscaler",
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"unet": "UNET",
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"diffusionmodels": "Diffusion Model", # Wan 2.2 and similar
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}
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AVAILABLE_MEILI_BASE_MODELS = [
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"AuraFlow", "CogVideoX", "Flux.1 D", "Flux.1 S", "Hunyuan 1", "Hunyuan Video",
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"Illustrious", "Kolors", "LTXV", "Lumina", "Mochi", "NoobAI", "ODOR", "Other",
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"PixArt E", "PixArt a", "Playground v2", "Pony", "SD 1.4", "SD 1.5",
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"SD 1.5 Hyper", "SD 1.5 LCM", "SD 2.0", "SD 2.0 768", "SD 2.1", "SD 2.1 768",
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"SD 2.1 Unclip", "SD 3", "SD 3.5", "SD 3.5 Large", "SD 3.5 Large Turbo",
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"SD 3.5 Medium", "SDXL 0.9", "SDXL 1.0", "SDXL 1.0 LCM", "SDXL Distilled",
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"SDXL Hyper", "SDXL Lightning", "SDXL Turbo", "SVD", "SVD XT", "Stable Cascade",
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"Wan Video"
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]
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# --- Filename Suffixes ---
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METADATA_SUFFIX = ".cminfo.json"
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PREVIEW_SUFFIX = ".preview.jpeg" # Keep as requested, even if source is png/webp
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# --- Log Initial Paths for Verification ---
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print("-" * 30)
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print("[HuggingFace Config Initialized]")
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print(f" - Plugin Root: {PLUGIN_ROOT}")
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print(f" - Web Directory: {WEB_DIRECTORY}")
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print(f" - ComfyUI Base Path: {COMFYUI_ROOT_DIR}")
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print("-" * 30)
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