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# 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
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'
]
# 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)