69 lines
1.6 KiB
Python
69 lines
1.6 KiB
Python
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import os
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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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"cv2",
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"manga",
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"sd2",
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"paint_by_example"
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]
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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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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",
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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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Only required when --input is directory. Result images will be saved to output directory automatically.
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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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