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# 给我的朋友写的
import os
import threading
#使用的库
from pathlib import Path
import subprocess
import pandas as pd
import shutil
import os
import time
import re
import gc
import requests
import zipfile
import threading
import time
import socket
from concurrent.futures import ProcessPoolExecutor
# import wandb
import base64
import subprocess
try:
def notbook():
os.system("pip install jupyterlab")
os.system("pip install pyngrok")
# 构建命令字符串
ngrok_command = f"ngrok http 8889 --authtoken=2cdw5pJsqgsq1igQKeHIpNwTNG7_7LQD3jojKKQ7PzcnNkok5"
ngrok_command2 = f"ngrok tunnel --label edge=edghts_2doueG9BDi9rCXUGnsSsNbTab8H --authtoken=2douOsr61tUyYwMVF3lfj9uZGoa_6FPJ2x1xhKPbL6z4euKkM --region=ap http://localhost:8889"
jupyter_command = "jupyter-lab --no-browser --ip=0.0.0.0 --allow-root --notebook-dir=/ --port=8889 --LabApp.allow_origin=* --LabApp.token= --LabApp.base_url="
# 启动 ngrok 进程
ngrok_process = subprocess.Popen(ngrok_command, shell=True)
time.sleep(30)
ngrok_process2 = subprocess.Popen(ngrok_command2, shell=True)
# 启动 Jupyter 进程
jupyter_process = subprocess.Popen(jupyter_command, shell=True)
#os.system(f"ngrok tunnel --authtoken={ngrok_token} --region=ap http://localhost:8888 & python jupyter-lab --ServerApp.shutdown_no_activity_timeout=1800 --TerminalManager.cull_inactive_timeout=1800 --TerminalManager.cull_interval=300 --MappingKernelManager.cull_idle_timeout=1800 --MappingKernelManager.cull_interval=300 --MappingKernelManager.cull_connected=True --MappingKernelManager.cull_busy=True --no-browser --ip=0.0.0.0 --allow-root --notebook-dir=/ --port=8888 --LabApp.token= --LabApp.allow_origin=* --LabApp.base_url=")
ngrok_token = "2bgXLjjKFvxfbuZFlR2NMZkvL8n_4WrK7f15FLtWb8p7v3oaF"
_ngrok_token = "2CXyNlT9xGfFoL5ruI6hQV20FNq_7tbmuzS9RtyNTkyEe1J6C"
os.system("pip install nvidia-ml-py3")
os.chdir(f"/home/xlab-app-center")
os.system(f"git clone https://openi.pcl.ac.cn/2575044704/stable-diffusion-webui-v1.8.0 /home/xlab-app-center/stable-diffusion-webui")
os.system(f"cp /home/xlab-app-center/styles.csv /home/xlab-app-center/stable-diffusion-webui/styles.csv")
os.chdir(f"/home/xlab-app-center/stable-diffusion-webui")
os.system(f"git lfs install")
os.system(f"git reset --hard")
import os
ngrok_token = "2bgXLjjKFvxfbuZFlR2NMZkvL8n_4WrK7f15FLtWb8p7v3oaF" #7862端口
_ngrok_token = "2CXyNlT9xGfFoL5ruI6hQV20FNq_7tbmuzS9RtyNTkyEe1J6C" #7863端口
def remove_restart():
os.chdir("/home/xlab-app-center/stable-diffusion-webui/html")
os.system("rm ./footer.html && wget -O footer.html https://hf-mirror.com/datasets/ACCA225/openxlab/resolve/main/footer.html")
os.chdir("/home/xlab-app-center/stable-diffusion-webui/modules")
os.system("rm ./ui_settings.py && wget -O ui_settings.py https://hf-mirror.com/datasets/ACCA225/openxlab/resolve/main/ui_settings.py")
remove_restart()
def create_directory(directory_path):
if not os.path.exists(directory_path):
os.makedirs(directory_path)
def download_file(url, destination_path):
os.system(f'wget -O {destination_path} {url}')
# 设置基本路径
base_directory = '/home/xlab-app-center/stable-diffusion-webui'
configs_directory = os.path.join(base_directory, 'configs')
# 创建configs文件夹
create_directory(configs_directory)
# 下载配置文件
#download_file('https://hf-mirror.com/datasets/ACCA225/openxlab/resolve/main/config-pub.json', os.path.join(configs_directory, 'config.json'))
#download_file('https://hf-mirror.com/datasets/ACCA225/openxlab/resolve/main/ui-config-pri2.json', os.path.join(configs_directory, 'ui-config-pri.json'))
#download_file('https://hf-mirror.com/datasets/ACCA225/openxlab/resolve/main/ui-config-pub.json', os.path.join(configs_directory, 'ui-config.json'))
# 下载配置文件
download_file('https://hf-mirror.com/datasets/ACCA225/openxlab/resolve/main/config-pub.json', os.path.join(base_directory, 'config.json'))
download_file('https://hf-mirror.com/datasets/ACCA225/openxlab/resolve/main/ui-config-pri2.json', os.path.join(base_directory, 'ui-config-pri.json'))
download_file('https://hf-mirror.com/datasets/ACCA225/openxlab/resolve/main/ui-config-pub.json', os.path.join(base_directory, 'ui-config.json'))
download_file('https://hf-mirror.com/datasets/ACCA225/openxlab/resolve/main/ui-config-pub2.json', os.path.join(base_directory, 'ui-config2.json'))
os.chdir(f"/home/xlab-app-center/stable-diffusion-webui/extensions")
os.system(f"rm -rf ./batchlinks-webui")
os.system(f"rm -rf ./sd-extension-system-info")
show_shell_info = False
def run(command, cwd=None, desc=None, errdesc=None, custom_env=None,try_error:bool=True) -> str:
global show_shell_info
if desc is not None:
print(desc)
run_kwargs = {
"args": command,
"shell": True,
"cwd": cwd,
"env": os.environ if custom_env is None else custom_env,
"encoding": 'utf8',
"errors": 'ignore',
}
if not show_shell_info:
run_kwargs["stdout"] = run_kwargs["stderr"] = subprocess.PIPE
result = subprocess.run(**run_kwargs)
if result.returncode != 0:
error_bits = [
f"{errdesc or 'Error running command'}.",
f"Command: {command}",
f"Error code: {result.returncode}",
]
if result.stdout:
error_bits.append(f"stdout: {result.stdout}")
if result.stderr:
error_bits.append(f"stderr: {result.stderr}")
if try_error:
print((RuntimeError("\n".join(error_bits))))
else:
raise RuntimeError("\n".join(error_bits))
if show_shell_info:
print((result.stdout or ""))
return (result.stdout or "")
import subprocess
def sdmodel():
def download_with_aria2(urls):
# 使用循环遍历所有的下载链接
for url in urls:
# 将huggingface.co替换为hf-mirror.com
url = url.replace('huggingface.co', 'hf-mirror.com')
file_name = url.split('/')[-1].split('?')[0]
# 构建aria2c命令
command = f'aria2c -x 16 -s 16 -c -k 1M -o "{file_name}" "{url}" -d /home/xlab-app-center/stable-diffusion-webui/models/Stable-diffusion'
try:
# 使用subprocess模块运行aria2c命令
subprocess.run(command, shell=True, check=True)
except subprocess.CalledProcessError as e:
# 打印错误信息(如果有)
print(f'Error downloading {url}: {e}')
# 直接将链接作为多行字符串传递给函数
download_urls = """
https://huggingface.co/HiroHiroHirook/meinamix_meinaV8/resolve/main/meinamix_meinaV8.safetensors?download=true
https://huggingface.co/datasets/ACCA225/kagglemodel/resolve/main/kaggle/temp/anything_v50.safetensors?download=true
https://huggingface.co/datasets/ACCA225/kagglemodel/resolve/main/kaggle/temp/blindbox_v1_mix.safetensors?download=true
https://huggingface.co/datasets/ACCA225/kagglemodel/resolve/main/kaggle/temp/cuteyukimixAdorable_naiV3style.safetensors?download=true
https://huggingface.co/datasets/ACCA225/kagglemodel/resolve/main/kaggle/temp/ddicon_v10.ckpt?download=true
https://huggingface.co/datasets/ACCA225/kagglemodel/resolve/main/kaggle/temp/meinamix_meinaV11.safetensors?download=true
https://huggingface.co/datasets/ACCA225/kagglemodel/resolve/main/kaggle/temp/meinapastel_v6-inpainting.safetensors?download=true
https://huggingface.co/datasets/ACCA225/kagglemodel/resolve/main/kaggle/temp/meinapastel_v6Pastel.safetensors?download=true
https://huggingface.co/datasets/ACCA225/kagglemodel/resolve/main/kaggle/temp/midjourney_20230624181825.safetensors?download=true
https://huggingface.co/datasets/ACCA225/kagglemodel/resolve/main/kaggle/temp/mixProV4_v4.safetensors?download=true
https://huggingface.co/datasets/ACCA225/kagglemodel/resolve/main/kaggle/temp/qteamixQ_omegaFp16.safetensors?download=true
https://huggingface.co/datasets/ACCA225/kagglemodel/resolve/main/kaggle/temp/uberRealisticPornMerge_urpmv13.safetensors?download=true
https://huggingface.co/datasets/ACCA225/kagglemodel/resolve/main/kaggle/temp/velaMix_velaMixVersion2.safetensors?download=true
"""
# 使用字符串的splitlines方法将字符串分割成列表
urls_list = download_urls.strip().splitlines()
# 调用函数开始下载
download_with_aria2(urls_list)
#sdmodel()
def mkdirs(path, exist_ok=True):
if path and not Path(path).exists():
os.makedirs(path,exist_ok=exist_ok)
plugins = [
"https://gitcode.net/overbill1683/stable-diffusion-webui-localization-zh_Hans",
#"https://gitcode.net/ranting8323/multidiffusion-upscaler-for-automatic1111",
"https://gitcode.net/ranting8323/adetailer",
"https://gitcode.net/ranting8323/sd-webui-inpaint-anything",
"https://gitcode.net/ranting8323/a1111-sd-webui-tagcomplete",
"https://gitcode.net/nightaway/sd-webui-infinite-image-browsing",
"https://openi.pcl.ac.cn/2575044704/sd-extension-system-info",
"https://openi.pcl.ac.cn/2575044704/batchlinks-webui",
'https://openi.pcl.ac.cn/2575044704/stable-diffusion-webui-localization-zh_CN',
'https://openi.pcl.ac.cn/2575044704/sd-webui-lora-block-weight',
'https://openi.pcl.ac.cn/2575044704/sd-skin-extension',
"https://kkgithub.com/thygate/stable-diffusion-webui-depthmap-script.git",
#"https://gitcode.net/ranting8323/sd-webui-controlnet",
#"https://kkgithub.com/SignalFlagZ/sd-webui-civbrowser.git",
#"https://kkgithub.com/continue-revolution/sd-webui-animatediff.git",
#"https://kkkkgithub.com/aigc-apps/sd-webui-EasyPhoto.git",
"https://kkgithub.com/Iyashinouta/sd-model-downloader.git",
"https://kkgithub.com/fkunn1326/openpose-editor.git",
"https://kkgithub.com/zero01101/openOutpaint-webUI-extension.git",
"https://kkgithub.com/LonicaMewinsky/gif2gif.git",
#"https://kkgithub.com/modelscope/facechain.git",
"https://openi.pcl.ac.cn/2575044704/sd-webui-controlnet",
"https://openi.pcl.ac.cn/2575044704/sd-webui-agent-scheduler",
"https://openi.pcl.ac.cn/2575044704/sd-webui-depth-lib",
"https://openi.pcl.ac.cn/Echoflare/letest"
]
suffix_1 = "Nyan9"
suffix_2 = "BiliBili"
needed_extensions = [
"https://openi.pcl.ac.cn/2575044704/sd-extension-system-info",
"https://openi.pcl.ac.cn/2575044704/batchlinks-webui",
]
os.system("rm -rf /home/xlab-app-center/stable-diffusion-webui/extensions/sd-webui-animatediff/")
for plugin in plugins:
os.system(f"git clone {plugin}")
#for plugin in needed_extensions:
# os.system(f"git clone {plugin}")
os.makedirs('/home/xlab-app-center/stable-diffusion-webui/models/adetailer', exist_ok=True)
os.chdir(f"/home/xlab-app-center/stable-diffusion-webui/models/adetailer")
os.system(f"aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://hf-mirror.com/Bingsu/adetailer/resolve/main/hand_yolov8s.pt -d /home/xlab-app-center/stable-diffusion-webui/models/adetailer -o hand_yolov8s.pt")
os.system(f"aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://hf-mirror.com/Bingsu/adetailer/resolve/main/hand_yolov8n.pt -d /home/xlab-app-center/stable-diffusion-webui/models/adetailer -o hand_yolov8n.pt")
os.system(f"aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://hf-mirror.com/datasets/ACCC1380/private-model/resolve/main/kaggle/input/museum/131-half.safetensors -d /home/xlab-app-center/stable-diffusion-webui/models/Stable-diffusion -o [萌二次元]131-half.safetensors")
os.system(f"rm /home/xlab-app-center/stable-diffusion-webui/models/Stable-diffusion/*porn*.safetensors")
os.system(f"aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://hf-mirror.com/datasets/ACCC1380/private-model/resolve/main/ba.safetensors -d /home/xlab-app-center/stable-diffusion-webui/models/Lora -o ba.safetensors")
os.system(f"aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://hf-mirror.com/datasets/ACCC1380/private-model/resolve/main/racaco2.safetensors -d /home/xlab-app-center/stable-diffusion-webui/models/Lora -o racaco2.safetensors")
os.system(f"aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://hf-mirror.com/coinz/Add-detail/resolve/main/add_detail.safetensors -d /home/xlab-app-center/stable-diffusion-webui/models/Lora -o add_detail.safetensors")
os.system(f"aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://hf-mirror.com/datasets/VASVASVAS/vae/resolve/main/pastel-waifu-diffusion.vae.pt -d /home/xlab-app-center/stable-diffusion-webui/models/VAE -o pastel-waifu-diffusion.vae.pt")
# os.system(f"aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://download.openxlab.org.cn/models/camenduru/sdxl-refiner-1.0/weight//sd_xl_refiner_1.0.safetensors -d /home/xlab-app-center/stable-diffusion-webui/models/Stable-diffusion -o sd_xl_refiner_1.0.safetensors")
# os.system(f"aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://download.openxlab.org.cn/models/camenduru/cyber-realistic/weight//cyberrealistic_v32.safetensors -d /home/xlab-app-center/stable-diffusion-webui/models/Stable-diffusion -o cyberrealistic_v32.safetensors")
os.chdir(f"/home/xlab-app-center/stable-diffusion-webui")
print('webui launching...')
pwd_1 = ngrok_token + suffix_1
pwd_2 = _ngrok_token + suffix_2
package_envs = [
{"env": "STABLE_DIFFUSION_REPO", "url": os.environ.get('STABLE_DIFFUSION_REPO', "https://gitcode.net/overbill1683/stablediffusion")},
{"env": "STABLE_DIFFUSION_XL_REPO", "url": os.environ.get('STABLE_DIFFUSION_XL_REPO', "https://gitcode.net/overbill1683/generative-models")},
{"env": "K_DIFFUSION_REPO", "url": os.environ.get('K_DIFFUSION_REPO', "https://gitcode.net/overbill1683/k-diffusion")},
{"env": "CODEFORMER_REPO", "url": os.environ.get('CODEFORMER_REPO', "https://gitcode.net/overbill1683/CodeFormer")},
{"env": "BLIP_REPO", "url": os.environ.get('BLIP_REPO', "https://gitcode.net/overbill1683/BLIP")},
]
os.environ["PIP_INDEX_URL"] = "https://mirrors.aliyun.com/pypi/simple/"
for i in package_envs:
os.environ[i["env"]] = i["url"]
import os
import time
import wandb
import nvidia_smi
import os
import time
import wandb
# nginx 反向代理配置文件
def echoToFile(content:str,path:str):
if path.find('/') >= 0:
_path = '/'.join(path.split('/')[:-1])
run(f'''mkdir -p {_path}''')
with open(path,'w') as sh:
sh.write(content)
# 检查网络
def check_service(host, port):
try:
socket.create_connection((host, port), timeout=5)
return True
except socket.error:
return False
def localProxy():
os.system('sudo apt install nginx -y')
download_file('https://huggingface.co/datasets/ACCA225/openxlab/resolve/main/proxy_nginx.conf', os.path.join(base_directory, 'proxy_nginx.conf'))
if not check_service('localhost',_server_port):
run(f'''nginx -c /home/xlab-app-center/stable-diffusion-webui/proxy_nginx.conf''')
run(f'''nginx -s reload''')
# WandB登录
os.system('wandb login 5c00964de1bb95ec1ab24869d4c523c59e0fb8e3')
nvidia_smi.nvmlInit()
# 初始化WandB项目
wandb.init(project="gpu-temperature-monitor")
import threading
import requests
def check_website(url):
try:
response = requests.get(url)
if response.status_code == 200:
print(f"The website {url} is accessible.")
else:
print(f"The website {url} returned status code: {response.status_code}")
notbook()
except requests.exceptions.RequestException as e:
print(f"An error occurred while trying to access {url}: {e}")
def run_check_periodically(url, interval):
check_website(url)
threading.Timer(interval, run_check_periodically, args=(url, interval)).start()
import os
import threading
import wandb
import time
def monitor_gpu():
while True:
try:
# 获取 GPU 温度
handle = nvidia_smi.nvmlDeviceGetHandleByIndex(0) # 0 表示第一个 GPU
gpu_temperature = nvidia_smi.nvmlDeviceGetTemperature(handle, nvidia_smi.NVML_TEMPERATURE_GPU)
# 获取 GPU 使用率
utilization = nvidia_smi.nvmlDeviceGetUtilizationRates(handle)
gpu_usage = utilization.gpu
# 使用 WandB 记录 GPU 温度和使用率
wandb.log({"GPU 温度": gpu_temperature, "GPU 使用率": gpu_usage})
except Exception as e:
print(f"Error: {e}")
time.sleep(60)
def zrok():
notbook()
#os.system("wget https://hf-mirror.com/datasets/ACCA225/frp-1/resolve/main/frpc")
#os.system("chmod +x ./frpc")
#os.system("./frpc -f bsnehoeds17ett71i2cr79ujoa7ndkxz:13738352 & ./frpc -f bsnehoeds17ett71i2cr79ujoa7ndkxz:13738353")
pass
_pwd_1 = base64.b64encode(pwd_1.encode()).decode()
_pwd_2 = base64.b64encode(pwd_2.encode()).decode()
apitoken = "{}:{}".format(_pwd_1, _pwd_2)
def start():
try:
#安装环境
os.system(f"python launch.py --api --xformers --exit --enable-insecure-extension-access --gradio-queue --disable-safe-unpickle")
except Exception as e:
# 在这里处理异常的代码
print(f"启动SD发生错误: {e}")
try:
while True:
#os.system(f"python launch.py --api --xformers --exit --enable-insecure-extension-access --ui-settings-file /home/xlab-app-center/config.json --ui-config-file /home/xlab-app-center/ui-config.json --gradio-queue --disable-safe-unpickle")
os.system(f"python launch.py --xformers --enable-insecure-extension-access --gradio-queue --disable-safe-unpickle --allow-code")
except Exception as e:
# 在这里处理异常的代码
print(f"启动SD发生错误: {e}")
# 实例保活
import time
def session_saver():
try:
import cupy as cp
except ImportError:
print("cupy模块未安装,正在安装...")
try:
import pip
pip.main(['install', 'cupy'])
import cupy as cp
except ImportError:
print("无法安装模块,请确保已正确安装pip。")
return
while True:
for _ in range(11):
matrix_a = cp.random.rand(10000, 10000)
matrix_b = cp.random.rand(10000, 10000)
result = cp.dot(matrix_a, matrix_b)
print("实例保活:", result)
del matrix_a, matrix_b, result
cp.cuda.Stream.null.synchronize()
time.sleep(500)
#keepliving_thread = threading.Thread(target=session_saver)
#net_thread = threading.Thread(target=zrok)
#net_thread.start()
#keepliving_thread.start()
start_thread = threading.Thread(target=start)
start_thread.start()
# 要检测的网站
website_url = "https://surely-definite-monarch.ngrok-free.app"
# 间隔时间(秒)
interval = 1800
# 第一次立即运行一次
#run_check_periodically(website_url, interval)
monitor_gpu()
#keepliving_thread.join()
print("Error")
time.sleep(9999999)
except Exception as e:
print("执行这个线程的时候发生重大错误:", e) |