rename to iopaint
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Qing
173
iopaint/cli.py
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173
iopaint/cli.py
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from pathlib import Path
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from typing import Dict
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import typer
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from fastapi import FastAPI
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from loguru import logger
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from typer import Option
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from iopaint.const import *
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from iopaint.download import cli_download_model, scan_models
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from iopaint.runtime import setup_model_dir, dump_environment_info, check_device
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typer_app = typer.Typer(pretty_exceptions_show_locals=False, add_completion=False)
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@typer_app.command(help="Install all plugins dependencies")
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def install_plugins_packages():
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from iopaint.installer import install_plugins_package
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install_plugins_package()
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@typer_app.command(help="Download SD/SDXL normal/inpainting model from HuggingFace")
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def download(
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model: str = Option(
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..., help="Model id on HuggingFace e.g: runwayml/stable-diffusion-inpainting"
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),
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model_dir: Path = Option(DEFAULT_MODEL_DIR, help=MODEL_DIR_HELP, file_okay=False),
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):
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cli_download_model(model, model_dir)
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@typer_app.command(name="list", help="List downloaded models")
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def list_model(
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model_dir: Path = Option(DEFAULT_MODEL_DIR, help=MODEL_DIR_HELP, file_okay=False),
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):
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setup_model_dir(model_dir)
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scanned_models = scan_models()
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for it in scanned_models:
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print(it.name)
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@typer_app.command(help="Batch processing images")
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def run(
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model: str = Option("lama"),
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device: Device = Option(Device.cpu),
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image: Path = Option(..., help="Image folders or file path"),
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mask: Path = Option(
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...,
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help="Mask folders or file path. "
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"If it is a directory, the mask images in the directory should have the same name as the original image."
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"If it is a file, all images will use this mask."
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"Mask will automatically resize to the same size as the original image.",
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),
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output: Path = Option(..., help="Output directory or file path"),
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config: Path = Option(
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None, help="Config file path. You can use dump command to create a base config."
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),
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concat: bool = Option(
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False, help="Concat original image, mask and output images into one image"
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),
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model_dir: Path = Option(DEFAULT_MODEL_DIR, help=MODEL_DIR_HELP, file_okay=False),
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):
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setup_model_dir(model_dir)
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scanned_models = scan_models()
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if model not in [it.name for it in scanned_models]:
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logger.info(f"{model} not found in {model_dir}, try to downloading")
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cli_download_model(model, model_dir)
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from iopaint.batch_processing import batch_inpaint
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batch_inpaint(model, device, image, mask, output, config, concat)
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@typer_app.command(help="Start IOPaint server")
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def start(
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host: str = Option("127.0.0.1"),
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port: int = Option(8080),
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model: str = Option(
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DEFAULT_MODEL,
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help=f"Available erase models: [{', '.join(AVAILABLE_MODELS)}]. "
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f"You can use download command to download other SD/SDXL normal/inpainting models on huggingface",
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),
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model_dir: Path = Option(
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DEFAULT_MODEL_DIR, help=MODEL_DIR_HELP, dir_okay=True, file_okay=False
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),
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no_half: bool = Option(False, help=NO_HALF_HELP),
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cpu_offload: bool = Option(False, help=CPU_OFFLOAD_HELP),
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disable_nsfw_checker: bool = Option(False, help=DISABLE_NSFW_HELP),
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cpu_textencoder: bool = Option(False, help=CPU_TEXTENCODER_HELP),
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local_files_only: bool = Option(False, help=LOCAL_FILES_ONLY_HELP),
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device: Device = Option(Device.cpu),
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gui: bool = Option(False, help=GUI_HELP),
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disable_model_switch: bool = Option(False),
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input: Path = Option(None, help=INPUT_HELP),
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output_dir: Path = Option(
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None, help=OUTPUT_DIR_HELP, dir_okay=True, file_okay=False
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),
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quality: int = Option(95, help=QUALITY_HELP),
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enable_interactive_seg: bool = Option(False, help=INTERACTIVE_SEG_HELP),
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interactive_seg_model: InteractiveSegModel = Option(
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InteractiveSegModel.vit_b, help=INTERACTIVE_SEG_MODEL_HELP
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),
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interactive_seg_device: Device = Option(Device.cpu),
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enable_remove_bg: bool = Option(False, help=REMOVE_BG_HELP),
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enable_anime_seg: bool = Option(False, help=ANIMESEG_HELP),
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enable_realesrgan: bool = Option(False),
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realesrgan_device: Device = Option(Device.cpu),
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realesrgan_model: RealESRGANModel = Option(RealESRGANModel.realesr_general_x4v3),
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enable_gfpgan: bool = Option(False),
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gfpgan_device: Device = Option(Device.cpu),
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enable_restoreformer: bool = Option(False),
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restoreformer_device: Device = Option(Device.cpu),
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):
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dump_environment_info()
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device = check_device(device)
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if input and not input.exists():
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logger.error(f"invalid --input: {input} not exists")
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exit()
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if output_dir:
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output_dir = output_dir.expanduser().absolute()
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logger.info(f"Image will be saved to {output_dir}")
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if not output_dir.exists():
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logger.info(f"Create output directory {output_dir}")
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output_dir.mkdir(parents=True)
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model_dir = model_dir.expanduser().absolute()
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setup_model_dir(model_dir)
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if local_files_only:
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os.environ["TRANSFORMERS_OFFLINE"] = "1"
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os.environ["HF_HUB_OFFLINE"] = "1"
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scanned_models = scan_models()
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if model not in [it.name for it in scanned_models]:
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logger.info(f"{model} not found in {model_dir}, try to downloading")
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cli_download_model(model, model_dir)
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from iopaint.api import Api
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from iopaint.schema import ApiConfig
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app = FastAPI()
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api = Api(
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app,
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ApiConfig(
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host=host,
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port=port,
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model=model,
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no_half=no_half,
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cpu_offload=cpu_offload,
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disable_nsfw_checker=disable_nsfw_checker,
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cpu_textencoder=cpu_textencoder,
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device=device,
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gui=gui,
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disable_model_switch=disable_model_switch,
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input=input,
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output_dir=output_dir,
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quality=quality,
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enable_interactive_seg=enable_interactive_seg,
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interactive_seg_model=interactive_seg_model,
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interactive_seg_device=interactive_seg_device,
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enable_remove_bg=enable_remove_bg,
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enable_anime_seg=enable_anime_seg,
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enable_realesrgan=enable_realesrgan,
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realesrgan_device=realesrgan_device,
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realesrgan_model=realesrgan_model,
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enable_gfpgan=enable_gfpgan,
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gfpgan_device=gfpgan_device,
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enable_restoreformer=enable_restoreformer,
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restoreformer_device=restoreformer_device,
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),
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)
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api.launch()
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