update
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parent
468e698a5c
commit
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@ -21,10 +21,8 @@ from loguru import logger
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from iopaint.const import *
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_config_file: Path = None
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default_configs = dict(
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host="127.0.0.1",
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port=8080,
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@ -67,41 +65,41 @@ def load_config(p: Path) -> WebConfig:
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try:
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return WebConfig(**{**default_configs, **json.load(f)})
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except JSONDecodeError:
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print(f"Load config file failed, using default configs")
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print("Load config file failed, using default configs")
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return WebConfig(**default_configs)
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else:
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return WebConfig(**default_configs)
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def save_config(
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host,
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port,
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model,
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model_dir,
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no_half,
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low_mem,
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cpu_offload,
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disable_nsfw_checker,
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local_files_only,
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cpu_textencoder,
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device,
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input,
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output_dir,
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quality,
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enable_interactive_seg,
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interactive_seg_model,
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interactive_seg_device,
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enable_remove_bg,
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remove_bg_model,
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enable_anime_seg,
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enable_realesrgan,
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realesrgan_device,
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realesrgan_model,
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enable_gfpgan,
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gfpgan_device,
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enable_restoreformer,
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restoreformer_device,
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inbrowser,
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host,
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port,
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model,
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model_dir,
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no_half,
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low_mem,
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cpu_offload,
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disable_nsfw_checker,
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local_files_only,
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cpu_textencoder,
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device,
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input,
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output_dir,
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quality,
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enable_interactive_seg,
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interactive_seg_model,
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interactive_seg_device,
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enable_remove_bg,
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remove_bg_model,
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enable_anime_seg,
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enable_realesrgan,
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realesrgan_device,
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realesrgan_model,
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enable_gfpgan,
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gfpgan_device,
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enable_restoreformer,
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restoreformer_device,
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inbrowser,
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):
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config = WebConfig(**locals())
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if str(config.input) == ".":
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@ -150,13 +148,6 @@ def main(config_file: Path):
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port = gr.Number(init_config.port, label="Port", precision=0)
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inbrowser = gr.Checkbox(init_config.inbrowser, label=INBROWSER_HELP)
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with gr.Column():
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model = gr.Textbox(
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init_config.model,
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label="Current Model. This is the model that will be used when the service starts. "
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"If the model has not been downloaded before, it will be automatically downloaded. "
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"You can select a model from the dropdown box below or manually enter the SD/SDXL model ID from HuggingFace, for example, runwayml/stable-diffusion-inpainting.",
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)
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with gr.Row():
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recommend_model = gr.Dropdown(
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["lama", "mat", "migan"] + DIFFUSION_MODELS,
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@ -165,6 +156,12 @@ def main(config_file: Path):
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downloaded_model = gr.Dropdown(
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downloaded_models, label="Downloaded Models"
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)
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with gr.Column():
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model = gr.Textbox(
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init_config.model,
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label="Current Model. Model will be automatically downloaded. "
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"You can select a model in Recommended Models or Downloaded Models or manually enter the SD/SDXL model ID from HuggingFace, for example, runwayml/stable-diffusion-inpainting.",
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)
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device = gr.Radio(
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Device.values(), label="Device", value=init_config.device
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