# SD 插件路径 /tmp/code/sd/stable-diffusion-webui/extensions # SD embeddings路径 /tmp/code/sd/stable-diffusion-webui/embeddings # SD VAE路径 /tmp/code/sd/stable-diffusion-webui/models/VAE # SD Lora路径 /tmp/code/sd/stable-diffusion-webui/models/Lora # SD 模型路径 /tmp/code/sd/stable-diffusion-webui/models/Stable-diffusion # comfyui 模型、VAE、Lora由SD文件路径共享 # comfyui 插件路径 /tmp/code/sd/ComfyUI/custom_nodes ## 为更改文件内容后就能被执行，本py文件会每30秒调用执行一次，做好判断 print('--------------远程执行PY---------------------') import os import subprocess import configparser import shutil os.system('mv /tmp/code/sd/stable-diffusion-webui/models/Lora/diao_Anything_XL.safetensors /tmp/code/sd/stable-diffusion-webui/models/Lora/diao_Anything_XL.ckpt') def install_aria2(): try: # 检查 aria2c 是否已安装 subprocess.run(['which', 'aria2c'], check=True, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL) print("aria2c 已安装") except subprocess.CalledProcessError: # aria2c 未安装,尝试自动安装 print("aria2c 未安装,正在尝试自动安装...") if 'ubuntu' in subprocess.check_output(['lsb_release', '-i']).decode().lower(): os.system('apt install aria2 -y') print("aria2c 安装成功") else: print("无法自动检测您的操作系统,请手动安装 aria2。") install_aria2() print('--------------开始---------------------') #SD插件下载 git_sd = [ # 'https://github.com/2575044704/stable-diffusion-webui-localization-zh_CN2.git', #汉化 'https://github.com/AlUlkesh/stable-diffusion-webui-images-browser', #图库浏览器 'https://github.com/qilan2/sd-webui-lobe-theme.git',# lobe主题 ] #comfyui插件下载 git_comfyui = [ 'https://github.com/AIGODLIKE/AIGODLIKE-COMFYUI-TRANSLATION',#中文插件 'https://github.com/talesofai/comfyui-browser'#查看器 ] # 包含文件名和下载 URL 的列表,格式为 ['文件名:下载URL', ...] #Lora下载 Lora_url = [ #'文件名:URL' ] #embeddings下载 embeddings_url = [ #'文件名:URL' ] #VAE下载 VAE_url = [ #'文件名:URL' ] # 下载后空间数据可保存1个月 #国内环境 civitai 无法访问得走镜像 civitai下载得带上token #有时效的url也不行，因为12个号每个号运行只有2小时，要全部号环境下都有得过24小时，所有号才都下载了有时效的url会无法完成所有号的下载。 #但是如果下载过慢30-60分钟才下载一个那消耗的时间将不止24小时，2小时下载没完成在执行会断点延续继续下载。 #civitai 下载很慢 6G模型差不多下个40分钟 #模型下载 mode_url = [ # '动漫-NoobAI-XL_Epsilon-pred0.5-Version.safetensors:https://civitai.work/api/download/models/968495?token=51cb08c8db76338ef7ed18bc5f0954c0', # '动漫-NoobAIXLv1.jpeg:https://image.civitai.work/xG1nkqKTMzGDvpLrqFT7WA/c5f2b34d-2890-4f76-b7d4-475d27ee59a0/width=450/azuuru,%20%7Btorino%20aqua%7D,%20%7B%7B%7Balternate%20costume%20%7D%7D%7D,momoko_(momopoco)%20,mana_(remana)%20s-1818306228%20(6).jpeg', '动漫-NoobAI-XL_Epsilon-pred0.5-Version.safetensors:https://civitai.work/api/download/models/968495?token=51cb08c8db76338ef7ed18bc5f0954c0', '动漫-NoobAI-XL_Epsilon-pred0.5-Version.jpeg:https://image.civitai.work/xG1nkqKTMzGDvpLrqFT7WA/a0de8882-e895-4e39-acee-1c2f3c7bd2e5/original=true,quality=90/1234.jpeg', '动漫-NoobAI-XL_Epsilon-pred0.75-Version.safetensors:https://civitai.work/api/download/models/998979?token=51cb08c8db76338ef7ed18bc5f0954c0', '动漫-NoobAI-XL_Epsilon-pred0.75-Version.jpeg:https://image.civitai.work/xG1nkqKTMzGDvpLrqFT7WA/4131eb2e-b0e4-46be-a262-74b9ce29fa3a/original=true,quality=90/00056-3015447491.jpeg', # '动漫-NoobAI-XL_Epsilon-pred.1.0-Version.safetensors:https://civitai.work/api/download/models/1022833?token=51cb08c8db76338ef7ed18bc5f0954c0', # '动漫-NoobAI-XL_Epsilon-pred1.0-Version.jpeg:https://image.civitai.work/xG1nkqKTMzGDvpLrqFT7WA/c5f2b34d-2890-4f76-b7d4-475d27ee59a0/original=true,quality=90/azuuru,%20%7Btorino%20aqua%7D,%20%7B%7B%7Balternate%20costume%20%7D%7D%7D,momoko_(momopoco)%20,mana_(remana)%20s-1818306228%20(6).jpeg', # '动漫-NoobAI-XL_V-Pred-0.5-Version.safetensors:https://civitai.work/api/download/models/1046043?token=51cb08c8db76338ef7ed18bc5f0954c0', # '动漫-NoobAI-XL_V-Pred-0.5-Version.jpeg:https://image.civitai.work/xG1nkqKTMzGDvpLrqFT7WA/53a34e1f-deb1-4922-9d32-25b5f1ef1b49/original=true,quality=90/bc309540ec8002f2c9b1449bf0f854eb.jpeg', # '动漫-NoobAI-XL_V-Pred-0.6-Version.safetensors:https://civitai.work/api/download/models/1070239?token=51cb08c8db76338ef7ed18bc5f0954c0', # '动漫-NoobAI-XL_V-Pred-0.6-Version.jpeg:https://image.civitai.work/xG1nkqKTMzGDvpLrqFT7WA/b70000f1-f004-4f63-9302-c9a2bed40ab8/original=true,quality=90/e2eb9dd54f5c828c3d077d9f9616adc8.jpeg', # 'Hyper-FLUX.1-dev-8steps-lora.safetensors:https://hf-mirror.com/ByteDance/Hyper-SD/resolve/main/Hyper-FLUX.1-dev-8steps-lora.safetensors', # 'Hyper-FLUX.1-dev-8steps-lora.png:https://cdn-avatars.huggingface.co/v1/production/uploads/6535c9e88bde2fae19b6fb25/0clr54wj5Ly-RkYU9OXPp.png' ] # openi 数据下载 数据集必须为公开数据集 openi_datasets = [ # { # "dataset_name": "qilan2/SD-QL",# 数据集路径 # "file_name": "SD模型3.zip",# 数据集名 # "save_path": "/tmp/code/sd/stable-diffusion-webui/models/Stable-diffusion/",# 解压路径结尾带/ # "extract": True, # 是否解压文件 True False # "use_unzip": True # unzip解压 True 7z解压 False # }, { "dataset_name": "qilan/sd", "file_name": "sd模型.zip", "save_path": "/tmp/code/sd/stable-diffusion-webui/models/Stable-diffusion/", "extract": True, "use_unzip": False } # , # { # "dataset_name": "qilan/sd", # "file_name": "Noobai.zip", # "save_path": "/tmp/code/sd/stable-diffusion-webui/models/Stable-diffusion/", # "extract": True, # "use_unzip": True # } ] def download_openi(datasets): for dataset in datasets: dataset_name = dataset["dataset_name"] file_name = dataset["file_name"] save_path = os.path.join(".", dataset["save_path"]) extract = dataset.get("extract", True) use_unzip = dataset.get("use_unzip", True) if not os.path.exists(save_path): print(f"保存路径 {save_path} 不存在,跳过下载 {file_name}。") continue config = configparser.ConfigParser() config.read(os.path.join(save_path, 'time.ini')) if config.has_option('downloaded_files', file_name): print(f"配置文件中已存在 {file_name},跳过下载。") continue os.system(f'openi dataset download {dataset_name} {file_name} --cluster NPU --save_path {save_path}') print(f"数据集 {file_name} 已下载到 {save_path} 目录。") if not config.has_section('downloaded_files'): config.add_section('downloaded_files') config.set('downloaded_files', file_name, 'True') with open(os.path.join(save_path, 'time.ini'), 'w') as configfile: config.write(configfile) # 解压文件 if extract: extract_path = os.path.join(save_path, os.path.splitext(file_name)[0]) if not os.path.exists(extract_path): os.makedirs(extract_path) if use_unzip: os.system(f'unzip -j {os.path.join(save_path, file_name)} -d {extract_path}') else: os.system(f'7z x {os.path.join(save_path, file_name)} -o{extract_path} -aoa') for root, dirs, files in os.walk(extract_path): for file in files: src_path = os.path.join(root, file) dst_path = os.path.join(save_path, file) shutil.move(src_path, dst_path) for dir in dirs: src_path = os.path.join(root, dir) dst_path = os.path.join(save_path, dir) shutil.move(src_path, dst_path) shutil.rmtree(extract_path) print(f"数据集 {file_name} 已解压到 {save_path} 目录。") os.remove(os.path.join(save_path, file_name)) print(f"已删除压缩包文件 {file_name}。") def download_aria2(file_name, download_dir, url): download_path = os.path.join(download_dir, file_name) aria2_path = download_path + ".aria2" # 检查文件是否已经下载完成 if os.path.exists(download_path) and not os.path.exists(aria2_path): print(f'文件 {file_name} 已存在, URL: {url}') return # 如果存在 .aria2 文件, 继续断点下载 if os.path.exists(aria2_path): print(f'文件 {file_name} 正在下载, 继续断点下载, URL: {url}') aria2_args = ( f'aria2c --dir {download_dir} --out {file_name} ' # '--continue=true' '--summary-interval=15 '#--console-log-level=error '--header="Referer: https://www.liblib.art/modelinfo/0079e26dfd8a447fbb5553bda66758a8?from=search"' '-c -x 16 -s 16 ' '{url}' ) try: os.system(aria2_args.format(url=url)) print(f'已成功下载: {file_name}') # os.system(f'rm -r {aria2_path}') except Exception as e: print(f'下载 {url} 失败: {e}') return # 如果没有 .aria2 文件且没有下载完成的文件, 则开始新的下载 aria2_args = ( f'aria2c --dir {download_dir} --out {file_name} ' # '--continue=true' '--summary-interval=15 '#--console-log-level=error '--header="Referer: https://www.liblib.art/modelinfo/0079e26dfd8a447fbb5553bda66758a8?from=search"' '-c -x 16 -s 16 ' '{url}' ) try: # print(f'aria2c --dir {download_dir} --out {file_name} --max-connection-per-server=10 --split=10 --min-split-size=1M --max-overall-download-limit=0 --max-download-limit=0 --continue=true {url}') os.system(aria2_args.format(url=url)) print(f'已成功下载: {file_name}') # os.system(f'rm -r {aria2_path}') except Exception as e: print(f'下载 {url} 失败: {e}') def download_Lora(file_urls, download_dir='/tmp/code/sd/stable-diffusion-webui/models/Lora'): """ 下载文件到指定目录,并支持替换文件名。如果文件已存在,则不进行下载。 参数: file_urls (list): 包含文件名和下载 URL 的列表,格式为 ['文件名:下载URL', ...] download_dir (str): 下载文件的目标目录 """ # 创建目标目录 os.makedirs(download_dir, exist_ok=True) # 下载文件 for file_url in file_urls: try: file_name, url = file_url.split(':', 1) download_aria2(file_name, download_dir, url) except ValueError: print(f'无效的文件 URL 格式: {file_url}') def download_embeddings(file_urls, download_dir='/tmp/code/sd/stable-diffusion-webui/embeddings'): os.makedirs(download_dir, exist_ok=True) for file_url in file_urls: try: file_name, url = file_url.split(':', 1) download_aria2(file_name, download_dir, url) except ValueError: print(f'无效的文件 URL 格式: {file_url}') def download_VAE(file_urls, download_dir='/tmp/code/sd/stable-diffusion-webui/models/VAE'): os.makedirs(download_dir, exist_ok=True) for file_url in file_urls: try: file_name, url = file_url.split(':', 1) download_aria2(file_name, download_dir, url) except ValueError: print(f'无效的文件 URL 格式: {file_url}') def download_mode(file_urls, download_dir='/tmp/code/sd/stable-diffusion-webui/models/Stable-diffusion'): os.makedirs(download_dir, exist_ok=True) for file_url in file_urls: try: file_name, url = file_url.split(':', 1) download_aria2(file_name, download_dir, url) except ValueError: print(f'无效的文件 URL 格式: {file_url}') def clone_repos_sd(repo_urls, clone_dir='/tmp/code/sd/stable-diffusion-webui/extensions'): """ 克隆 GitHub 仓库到指定目录 参数: repo_urls (list): GitHub 仓库 URL 列表 clone_dir (str): 克隆仓库的目标目录 """ # 创建目标目录 os.makedirs(clone_dir, exist_ok=True, mode=0o755) for repo_url in repo_urls: try: repo_name = repo_url.rstrip('/').split('/')[-1] clone_path = os.path.join(clone_dir, repo_name) if os.path.exists(clone_path): print(f'仓库 {repo_name} 已存在, URL: {repo_url}') continue os.system(f'git clone {repo_url} {clone_path}') print(f'已成功克隆仓库: {repo_name}') except Exception as e: print(f'克隆 {repo_url} 失败: {e}') def clone_repos_comfyui(repo_urls, clone_dir='/tmp/code/sd/ComfyUI/custom_nodes'): os.makedirs(clone_dir, exist_ok=True, mode=0o755) for repo_url in repo_urls: try: repo_name = repo_url.rstrip('/').split('/')[-1] clone_path = os.path.join(clone_dir, repo_name) if os.path.exists(clone_path): print(f'仓库 {repo_name} 已存在, URL: {repo_url}') continue os.system(f'git clone {repo_url} {clone_path}') print(f'已成功克隆仓库: {repo_name}') except Exception as e: print(f'克隆 {repo_url} 失败: {e}') clone_repos_sd(git_sd) clone_repos_comfyui(git_comfyui) download_openi(openi_datasets) download_Lora(Lora_url) download_embeddings(embeddings_url) download_VAE(VAE_url) download_mode(mode_url)