# 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 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" ] 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", ] 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(): start_thread = threading.Thread(target=start) start_thread.start() 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(): #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(): #notbook() #try: # print('启动proxy') # threading.Thread(target = localProxy,daemon=True).start() #except Exception as e: # # 在这里处理异常的代码 # print(f"proxy An error occurred: {e}") try: #安装环境 os.system(f"python launch.py --api --xformers --exit --enable-insecure-extension-access --gradio-queue --disable-safe-unpickle") #time.sleep(5) command = f"python launch.py --api --xformers --enable-insecure-extension-access --gradio-queue --disable-safe-unpickle --port=7861" command1 = "python launch.py --ui-config=/home/xlab-app-center/stable-diffusion-webui/ui-config2.json --api --xformers --enable-insecure-extension-access --gradio-queue --disable-safe-unpickle --port=7862" command2 = "python launch.py --ui-config=/home/xlab-app-center/stable-diffusion-webui/ui-config2.json --api --xformers --enable-insecure-extension-access --gradio-queue --disable-safe-unpickle --port=7863" process = subprocess.Popen(command, shell=True) time.sleep(250) #process = subprocess.Popen(command1, shell=True) time.sleep(100) print("启动ngrok中") command_ngrok = f"ngrok http 8888 --authtoken={ngrok_token} --region=ap & ngrok http 7863 --authtoken=2H8A6felNlmleMqWBF0UUt2C72e_7mqBMs1nVibXbfnK28KrX --region=ap" #process = subprocess.Popen(command2, shell=True) def start_ngrok(): try: os.system(f"{command_ngrok}") except Exception as e: print(f"ngrok启动失败: {e}") start_ngrok() #start_ngrok() 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: #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 --api --xformers --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"An error occurred: {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() # 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()