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。
95 lines
2.8 KiB
Python
Executable File
95 lines
2.8 KiB
Python
Executable File
import os
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import sys
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import gradio as gr
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from modules import shared_cmd_options, shared_gradio_themes, options, shared_items, sd_models_types
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from modules.paths_internal import models_path, script_path, data_path, sd_configs_path, sd_default_config, sd_model_file, default_sd_model_file, extensions_dir, extensions_builtin_dir # noqa: F401
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from modules import util
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from typing import TYPE_CHECKING
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if TYPE_CHECKING:
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from modules import shared_state, styles, interrogate, shared_total_tqdm, memmon
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cmd_opts = shared_cmd_options.cmd_opts
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parser = shared_cmd_options.parser
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batch_cond_uncond = True # old field, unused now in favor of shared.opts.batch_cond_uncond
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parallel_processing_allowed = True
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styles_filename = cmd_opts.styles_file = cmd_opts.styles_file if len(cmd_opts.styles_file) > 0 else [os.path.join(data_path, 'styles.csv')]
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config_filename = cmd_opts.ui_settings_file
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hide_dirs = {"visible": not cmd_opts.hide_ui_dir_config}
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demo: gr.Blocks = None
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device: str = None
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weight_load_location: str = None
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xformers_available = False
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hypernetworks = {}
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loaded_hypernetworks = []
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state: 'shared_state.State' = None
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prompt_styles: 'styles.StyleDatabase' = None
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interrogator: 'interrogate.InterrogateModels' = None
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face_restorers = []
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options_templates: dict = None
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opts: options.Options = None
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restricted_opts: set[str] = None
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sd_model: sd_models_types.WebuiSdModel = None
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settings_components: dict = None
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"""assigned from ui.py, a mapping on setting names to gradio components responsible for those settings"""
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tab_names = []
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latent_upscale_default_mode = "Latent"
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latent_upscale_modes = {
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"Latent": {"mode": "bilinear", "antialias": False},
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"Latent (antialiased)": {"mode": "bilinear", "antialias": True},
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"Latent (bicubic)": {"mode": "bicubic", "antialias": False},
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"Latent (bicubic antialiased)": {"mode": "bicubic", "antialias": True},
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"Latent (nearest)": {"mode": "nearest", "antialias": False},
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"Latent (nearest-exact)": {"mode": "nearest-exact", "antialias": False},
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}
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sd_upscalers = []
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clip_model = None
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progress_print_out = sys.stdout
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gradio_theme = gr.themes.Base()
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total_tqdm: 'shared_total_tqdm.TotalTQDM' = None
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mem_mon: 'memmon.MemUsageMonitor' = None
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options_section = options.options_section
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OptionInfo = options.OptionInfo
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OptionHTML = options.OptionHTML
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natural_sort_key = util.natural_sort_key
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listfiles = util.listfiles
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html_path = util.html_path
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html = util.html
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walk_files = util.walk_files
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ldm_print = util.ldm_print
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reload_gradio_theme = shared_gradio_themes.reload_gradio_theme
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list_checkpoint_tiles = shared_items.list_checkpoint_tiles
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refresh_checkpoints = shared_items.refresh_checkpoints
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list_samplers = shared_items.list_samplers
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reload_hypernetworks = shared_items.reload_hypernetworks
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hf_endpoint = os.getenv('HF_ENDPOINT', 'https://huggingface.co')
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