174 lines
5.0 KiB
Python
174 lines
5.0 KiB
Python
import json
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import os
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from enum import Enum
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from pydantic import BaseModel
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MPS_SUPPORT_MODELS = [
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"instruct_pix2pix",
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"sd1.5",
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"anything4",
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"realisticVision1.4",
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"sd2",
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"paint_by_example",
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"controlnet",
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]
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DEFAULT_MODEL = "lama"
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AVAILABLE_MODELS = [
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"lama",
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"ldm",
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"zits",
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"mat",
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"fcf",
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"sd1.5",
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"anything4",
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"realisticVision1.4",
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"cv2",
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"manga",
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"sd2",
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"paint_by_example",
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"instruct_pix2pix",
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]
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SD15_MODELS = ["sd1.5", "anything4", "realisticVision1.4"]
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AVAILABLE_DEVICES = ["cuda", "cpu", "mps"]
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DEFAULT_DEVICE = "cuda"
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NO_HALF_HELP = """
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Using full precision model.
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If your generate result is always black or green, use this argument. (sd/paint_by_exmaple)
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"""
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CPU_OFFLOAD_HELP = """
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Offloads all models to CPU, significantly reducing vRAM usage. (sd/paint_by_example)
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"""
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DISABLE_NSFW_HELP = """
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Disable NSFW checker. (sd/paint_by_example)
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"""
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SD_CPU_TEXTENCODER_HELP = """
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Run Stable Diffusion text encoder model on CPU to save GPU memory.
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"""
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SD_CONTROLNET_HELP = """
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Run Stable Diffusion inpainting model with ControlNet. You can switch control method in webui.
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"""
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DEFAULT_CONTROLNET_METHOD = "control_v11p_sd15_canny"
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SD_CONTROLNET_CHOICES = [
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"control_v11p_sd15_canny",
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"control_v11p_sd15_openpose",
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"control_v11p_sd15_inpaint",
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"control_v11f1p_sd15_depth"
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]
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SD_LOCAL_MODEL_HELP = """
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Load Stable Diffusion 1.5 model(ckpt/safetensors) from local path.
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"""
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LOCAL_FILES_ONLY_HELP = """
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Use local files only, not connect to Hugging Face server. (sd/paint_by_example)
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"""
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ENABLE_XFORMERS_HELP = """
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Enable xFormers optimizations. Requires xformers package has been installed. See: https://github.com/facebookresearch/xformers (sd/paint_by_example)
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"""
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DEFAULT_MODEL_DIR = os.getenv(
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"XDG_CACHE_HOME", os.path.join(os.path.expanduser("~"), ".cache")
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)
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MODEL_DIR_HELP = """
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Model download directory (by setting XDG_CACHE_HOME environment variable), by default model downloaded to ~/.cache
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"""
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OUTPUT_DIR_HELP = """
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Result images will be saved to output directory automatically without confirmation.
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"""
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INPUT_HELP = """
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If input is image, it will be loaded by default.
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If input is directory, you can browse and select image in file manager.
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"""
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GUI_HELP = """
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Launch Lama Cleaner as desktop app
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"""
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NO_GUI_AUTO_CLOSE_HELP = """
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Prevent backend auto close after the GUI window closed.
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"""
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QUALITY_HELP = """
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Quality of image encoding, 0-100. Default is 95, higher quality will generate larger file size.
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"""
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class RealESRGANModelName(str, Enum):
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realesr_general_x4v3 = "realesr-general-x4v3"
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RealESRGAN_x4plus = "RealESRGAN_x4plus"
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RealESRGAN_x4plus_anime_6B = "RealESRGAN_x4plus_anime_6B"
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RealESRGANModelNameList = [e.value for e in RealESRGANModelName]
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INTERACTIVE_SEG_HELP = "Enable interactive segmentation using Segment Anything."
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INTERACTIVE_SEG_MODEL_HELP = "Model size: vit_b < vit_l < vit_h. Bigger model size means better segmentation but slower speed."
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AVAILABLE_INTERACTIVE_SEG_MODELS = ["vit_b", "vit_l", "vit_h"]
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AVAILABLE_INTERACTIVE_SEG_DEVICES = ["cuda", "cpu", "mps"]
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REMOVE_BG_HELP = "Enable remove background. Always run on CPU"
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ANIMESEG_HELP = "Enable anime segmentation. Always run on CPU"
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REALESRGAN_HELP = "Enable realesrgan super resolution"
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REALESRGAN_AVAILABLE_DEVICES = ["cpu", "cuda", "mps"]
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GFPGAN_HELP = (
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"Enable GFPGAN face restore. To enhance background, use with --enable-realesrgan"
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)
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GFPGAN_AVAILABLE_DEVICES = ["cpu", "cuda", "mps"]
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RESTOREFORMER_HELP = "Enable RestoreFormer face restore. To enhance background, use with --enable-realesrgan"
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RESTOREFORMER_AVAILABLE_DEVICES = ["cpu", "cuda", "mps"]
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GIF_HELP = "Enable GIF plugin. Make GIF to compare original and cleaned image"
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class Config(BaseModel):
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host: str = "127.0.0.1"
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port: int = 8080
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model: str = DEFAULT_MODEL
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sd_local_model_path: str = None
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sd_controlnet: bool = False
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sd_controlnet_method: str = DEFAULT_CONTROLNET_METHOD
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device: str = DEFAULT_DEVICE
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gui: bool = False
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no_gui_auto_close: bool = False
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no_half: bool = False
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cpu_offload: bool = False
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disable_nsfw: bool = False
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sd_cpu_textencoder: bool = False
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enable_xformers: bool = False
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local_files_only: bool = False
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model_dir: str = DEFAULT_MODEL_DIR
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input: str = None
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output_dir: str = None
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# plugins
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enable_interactive_seg: bool = False
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interactive_seg_model: str = "vit_l"
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interactive_seg_device: str = "cpu"
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enable_remove_bg: bool = False
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enable_anime_seg: bool = False
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enable_realesrgan: bool = False
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realesrgan_device: str = "cpu"
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realesrgan_model: str = RealESRGANModelName.realesr_general_x4v3.value
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realesrgan_no_half: bool = False
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enable_gfpgan: bool = False
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gfpgan_device: str = "cpu"
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enable_restoreformer: bool = False
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restoreformer_device: str = "cpu"
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enable_gif: bool = False
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def load_config(installer_config: str):
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if os.path.exists(installer_config):
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with open(installer_config, "r", encoding="utf-8") as f:
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return Config(**json.load(f))
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else:
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return Config()
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