121 lines
3.9 KiB
Python
121 lines
3.9 KiB
Python
import os
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from typing import List
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INSTRUCT_PIX2PIX_NAME = "timbrooks/instruct-pix2pix"
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KANDINSKY22_NAME = "kandinsky-community/kandinsky-2-2-decoder-inpaint"
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POWERPAINT_NAME = "Sanster/PowerPaint-V1-stable-diffusion-inpainting"
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ANYTEXT_NAME = "Sanster/AnyText"
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DIFFUSERS_SD_CLASS_NAME = "StableDiffusionPipeline"
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DIFFUSERS_SD_INPAINT_CLASS_NAME = "StableDiffusionInpaintPipeline"
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DIFFUSERS_SDXL_CLASS_NAME = "StableDiffusionXLPipeline"
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DIFFUSERS_SDXL_INPAINT_CLASS_NAME = "StableDiffusionXLInpaintPipeline"
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MPS_UNSUPPORT_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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"cv2",
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"manga",
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]
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DEFAULT_MODEL = "lama"
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AVAILABLE_MODELS = ["lama", "ldm", "zits", "mat", "fcf", "manga", "cv2", "migan"]
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DIFFUSION_MODELS = [
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"runwayml/stable-diffusion-inpainting",
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"Uminosachi/realisticVisionV51_v51VAE-inpainting",
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"redstonehero/dreamshaper-inpainting",
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"Sanster/anything-4.0-inpainting",
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"diffusers/stable-diffusion-xl-1.0-inpainting-0.1",
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"Fantasy-Studio/Paint-by-Example",
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POWERPAINT_NAME,
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ANYTEXT_NAME,
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]
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NO_HALF_HELP = """
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Using full precision(fp32) model.
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If your diffusion model generate result is always black or green, use this argument.
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"""
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CPU_OFFLOAD_HELP = """
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Offloads diffusion model's weight to CPU RAM, significantly reducing vRAM usage.
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"""
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LOW_MEM_HELP = "Enable attention slicing and vae tiling to save memory."
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DISABLE_NSFW_HELP = """
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Disable NSFW checker for diffusion model.
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"""
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CPU_TEXTENCODER_HELP = """
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Run diffusion models text encoder on CPU to reduce vRAM usage.
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"""
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SD_CONTROLNET_CHOICES: List[str] = [
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"lllyasviel/control_v11p_sd15_canny",
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# "lllyasviel/control_v11p_sd15_seg",
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"lllyasviel/control_v11p_sd15_openpose",
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"lllyasviel/control_v11p_sd15_inpaint",
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"lllyasviel/control_v11f1p_sd15_depth",
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]
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SD2_CONTROLNET_CHOICES = [
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"thibaud/controlnet-sd21-canny-diffusers",
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"thibaud/controlnet-sd21-depth-diffusers",
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"thibaud/controlnet-sd21-openpose-diffusers",
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]
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SDXL_CONTROLNET_CHOICES = [
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"thibaud/controlnet-openpose-sdxl-1.0",
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"destitech/controlnet-inpaint-dreamer-sdxl",
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"diffusers/controlnet-canny-sdxl-1.0",
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"diffusers/controlnet-canny-sdxl-1.0-mid",
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"diffusers/controlnet-canny-sdxl-1.0-small",
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"diffusers/controlnet-depth-sdxl-1.0",
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"diffusers/controlnet-depth-sdxl-1.0-mid",
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"diffusers/controlnet-depth-sdxl-1.0-small",
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]
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LOCAL_FILES_ONLY_HELP = """
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When loading diffusion models, using local files only, not connect to HuggingFace server.
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"""
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DEFAULT_MODEL_DIR = os.path.abspath(
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os.getenv("XDG_CACHE_HOME", os.path.join(os.path.expanduser("~"), ".cache"))
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)
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MODEL_DIR_HELP = f"""
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Model download directory (by setting XDG_CACHE_HOME environment variable), by default model download to {DEFAULT_MODEL_DIR}
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"""
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OUTPUT_DIR_HELP = """
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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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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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INTERACTIVE_SEG_HELP = "Enable interactive segmentation using Segment Anything."
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INTERACTIVE_SEG_MODEL_HELP = "Model size: mobile_sam < vit_b < vit_l < vit_h. Bigger model size means better segmentation but slower speed."
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REMOVE_BG_HELP = "Enable remove background plugin. Always run on CPU"
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ANIMESEG_HELP = "Enable anime segmentation plugin. Always run on CPU"
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REALESRGAN_HELP = "Enable realesrgan super resolution"
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GFPGAN_HELP = "Enable GFPGAN face restore. To also enhance background, use with --enable-realesrgan"
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RESTOREFORMER_HELP = "Enable RestoreFormer face restore. To also enhance background, use with --enable-realesrgan"
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GIF_HELP = "Enable GIF plugin. Make GIF to compare original and cleaned image"
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INBROWSER_HELP = "Automatically launch IOPaint in a new tab on the default browser"
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