colomi
0eb61f3e60
包含： - hair_service_sd: 换发型/换发色算法服务 (端口 8801) - photo_service: LoRA 训练调度服务 (端口 32678) - stable-diffusion-webui: SD WebUI 推理服务 (端口 57860) - kohya_ss_home: 训练环境代码 - meidaojia: 监控测试脚本 - setup.sh: 一键部署脚本 (conda环境恢复 + 配置生成 + 完整性检查) - start_all_services.sh: 启动3个服务 - configure.ini.template: 路径模板化 (BASE_DIR自动推导) - conda_envs/py310.yml: py310 环境定义 大文件 (weights/, models/, data/, conda_envs/*.tar.gz 等) 通过 .gitignore 排除， 由网盘单独上传。
65 lines
3.0 KiB
Python
Executable File
65 lines
3.0 KiB
Python
Executable File
import gradio as gr
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from modules import scripts, shared, ui_common, postprocessing, call_queue, ui_toprow
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import modules.infotext_utils as parameters_copypaste
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from modules.ui_components import ResizeHandleRow
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def create_ui():
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dummy_component = gr.Label(visible=False)
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tab_index = gr.Number(value=0, visible=False)
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with ResizeHandleRow(equal_height=False, variant='compact'):
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with gr.Column(variant='compact'):
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with gr.Tabs(elem_id="mode_extras"):
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with gr.TabItem('Single Image', id="single_image", elem_id="extras_single_tab") as tab_single:
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extras_image = gr.Image(label="Source", source="upload", interactive=True, type="pil", elem_id="extras_image", image_mode="RGBA")
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with gr.TabItem('Batch Process', id="batch_process", elem_id="extras_batch_process_tab") as tab_batch:
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image_batch = gr.Files(label="Batch Process", interactive=True, elem_id="extras_image_batch")
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with gr.TabItem('Batch from Directory', id="batch_from_directory", elem_id="extras_batch_directory_tab") as tab_batch_dir:
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extras_batch_input_dir = gr.Textbox(label="Input directory", **shared.hide_dirs, placeholder="A directory on the same machine where the server is running.", elem_id="extras_batch_input_dir")
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extras_batch_output_dir = gr.Textbox(label="Output directory", **shared.hide_dirs, placeholder="Leave blank to save images to the default path.", elem_id="extras_batch_output_dir")
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show_extras_results = gr.Checkbox(label='Show result images', value=True, elem_id="extras_show_extras_results")
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script_inputs = scripts.scripts_postproc.setup_ui()
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with gr.Column():
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toprow = ui_toprow.Toprow(is_compact=True, is_img2img=False, id_part="extras")
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toprow.create_inline_toprow_image()
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submit = toprow.submit
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output_panel = ui_common.create_output_panel("extras", shared.opts.outdir_extras_samples)
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tab_single.select(fn=lambda: 0, inputs=[], outputs=[tab_index])
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tab_batch.select(fn=lambda: 1, inputs=[], outputs=[tab_index])
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tab_batch_dir.select(fn=lambda: 2, inputs=[], outputs=[tab_index])
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submit.click(
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fn=call_queue.wrap_gradio_gpu_call(postprocessing.run_postprocessing_webui, extra_outputs=[None, '']),
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_js="submit_extras",
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inputs=[
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dummy_component,
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tab_index,
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extras_image,
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image_batch,
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extras_batch_input_dir,
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extras_batch_output_dir,
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show_extras_results,
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*script_inputs
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],
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outputs=[
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output_panel.gallery,
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output_panel.generation_info,
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output_panel.html_log,
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],
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show_progress=False,
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)
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parameters_copypaste.add_paste_fields("extras", extras_image, None)
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extras_image.change(
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fn=scripts.scripts_postproc.image_changed,
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inputs=[], outputs=[]
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)
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