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。
39 lines
1.2 KiB
Python
Executable File
39 lines
1.2 KiB
Python
Executable File
import html
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import gradio as gr
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import modules.textual_inversion.textual_inversion
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from modules import sd_hijack, shared
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def create_embedding(name, initialization_text, nvpt, overwrite_old):
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filename = modules.textual_inversion.textual_inversion.create_embedding(name, nvpt, overwrite_old, init_text=initialization_text)
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sd_hijack.model_hijack.embedding_db.load_textual_inversion_embeddings()
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return gr.Dropdown.update(choices=sorted(sd_hijack.model_hijack.embedding_db.word_embeddings.keys())), f"Created: {filename}", ""
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def train_embedding(*args):
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assert not shared.cmd_opts.lowvram, 'Training models with lowvram not possible'
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apply_optimizations = shared.opts.training_xattention_optimizations
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try:
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if not apply_optimizations:
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sd_hijack.undo_optimizations()
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embedding, filename = modules.textual_inversion.textual_inversion.train_embedding(*args)
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res = f"""
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Training {'interrupted' if shared.state.interrupted else 'finished'} at {embedding.step} steps.
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Embedding saved to {html.escape(filename)}
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"""
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return res, ""
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except Exception:
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raise
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finally:
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if not apply_optimizations:
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sd_hijack.apply_optimizations()
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