# 配置 import os install_path = '/home/xlab-app-center' webui_repo = 'AUTOMATIC1111/stable-diffusion-webui --branch v1.9.4' rename_repo = 'stable-diffusion-webui' git_url = 'gitcode.com' webui_port = 7860 package_envs = [ {"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")}, {"env": "CLIP_PACKAGE", "url": os.environ.get('CLIP_REPO', "https://kkgithub.com/openai/CLIP")}, {"env": "ASSETS_REPO", "url": os.environ.get('CLIP_REPO', "https://kkgithub.com/AUTOMATIC1111/stable-diffusion-webui-assets.git")}, ] os.environ["PIP_INDEX_URL"] = "https://mirrors.aliyun.com/pypi/simple/" for i in package_envs: os.environ[i["env"]] = i["url"] api_auth = 'Echoflare:Tt25faj8' download_tool = 'aria2c --console-log-level=error -c -x 16 -s 16 -k 1M' webui_args = [ '--api', '--xformers', '--no-hashing', '--disable-nan-check', '--disable-console-progressbars', '--enable-console-prompts', #'--no-gradio-queue', '--no-half-vae', "--skip-torch-cuda-test", '--lowram', "--allow-code" # f'--api-auth={api_auth}', # '--freeze-settings', ] extensions = [ 'https://gitcode.com/zanllp/sd-webui-infinite-image-browsing', 'https://gitcode.com/dtlnor/stable-diffusion-webui-localization-zh_CN', # 汉化 'https://gitcode.com/DominikDoom/a1111-sd-webui-tagcomplete', # 提示词提示器 'https://gitcode.com/Mikubill/sd-webui-controlnet', # ControlNet "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://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-agent-scheduler", "https://openi.pcl.ac.cn/2575044704/sd-webui-depth-lib", "https://openi.pcl.ac.cn/Echoflare/letest" ] sd_models = [ #"kohakuXLDelta_rev1.safetensors@https://civitai-delivery-worker-prod.5ac0637cfd0766c97916cefa3764fbdf.r2.cloudflarestorage.com/model/478208/kohakuXlDeltaRev1.OzRM.safetensors?X-Amz-Expires=86400&response-content-disposition=attachment%3B%20filename%3D%22kohakuXLDelta_rev1.safetensors%22&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=e01358d793ad6966166af8b3064953ad/20240323/us-east-1/s3/aws4_request&X-Amz-Date=20240323T165433Z&X-Amz-SignedHeaders=host&X-Amz-Signature=7a14ba6161f355f0dd93229089f503fbbe94fbe994d42ba1e7efc1566ba584a6", ] lora_models = [ "https://hf-mirror.com/datasets/ACCC1380/private-model/resolve/main/ba.safetensors", "https://hf-mirror.com/datasets/ACCC1380/private-model/resolve/main/racaco2.safetensors", ] vae_models = [ "https://hf-mirror.com/datasets/VASVASVAS/vae/resolve/main/pastel-waifu-diffusion.vae.pt" ] ControlNet = True controlnet_models = [ 'https://hf-mirror.com/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11e_sd15_ip2p_fp16.safetensors', 'https://hf-mirror.com/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11e_sd15_shuffle_fp16.safetensors', 'https://hf-mirror.com/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11f1p_sd15_depth_fp16.safetensors', 'https://hf-mirror.com/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_canny_fp16.safetensors', 'https://hf-mirror.com/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_inpaint_fp16.safetensors', 'https://hf-mirror.com/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_lineart_fp16.safetensors', 'https://hf-mirror.com/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_mlsd_fp16.safetensors', 'https://hf-mirror.com/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_normalbae_fp16.safetensors', 'https://hf-mirror.com/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_openpose_fp16.safetensors', 'https://hf-mirror.com/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_scribble_fp16.safetensors', 'https://hf-mirror.com/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_softedge_fp16.safetensors', 'https://hf-mirror.com/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15s2_lineart_anime_fp16.safetensors', 'https://hf-mirror.com/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11u_sd15_tile_fp16.safetensors', 'https://hf-mirror.com/DionTimmer/controlnet_qrcode-control_v1p_sd15/resolve/main/control_v1p_sd15_qrcode.safetensors', ] embedding_models = [ "unaestheticXL_Alb2.safetensors@https://civitai-delivery-worker-prod.5ac0637cfd0766c97916cefa3764fbdf.r2.cloudflarestorage.com/model/61235/unaestheticxlAlb2.7VDr.safetensors?X-Amz-Expires=86400&response-content-disposition=attachment%3B%20filename%3D%22unaestheticXL_Alb2.safetensors%22&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=e01358d793ad6966166af8b3064953ad/20240324/us-east-1/s3/aws4_request&X-Amz-Date=20240324T042909Z&X-Amz-SignedHeaders=host&X-Amz-Signature=9d4dd419dd2e579ca1ae88fe3315f4245edc5dbfb82d38e6aaa0cd383b8889c0", ] hypernetwork_models = [] esrgan_models = [] custom_commands = [ f'rm -rf {install_path}/{rename_repo}/config.json', f'rm -rf {install_path}/{rename_repo}/ui-config.json', f'rm -rf {install_path}/{rename_repo}/modules/ui_settings.py', f"{download_tool} https://hf-mirror.com/datasets/ACCA225/openxlab/resolve/main/config-pub.json -d {install_path}/{rename_repo} -o config.json --allow-overwrite=true", f"{download_tool} https://hf-mirror.com/datasets/ACCA225/openxlab/resolve/main/ui-config-pub3.json -d {install_path}/{rename_repo} -o ui-config.json --allow-overwrite=true", f"{download_tool} https://hf-mirror.com/datasets/Mira-LeafTown/sd-webui-openxlab/raw/main/ui_settings.py -d {install_path}/{rename_repo}/modules -o ui_settings.py --allow-overwrite=true", ] # WebUI部署 def monitor_gpu(): import os import re import os import time import threading import wandb import pynvml as nvidia_smi # WandB登录 os.system('wandb login 5c00964de1bb95ec1ab24869d4c523c59e0fb8e3') # 初始化 NVML nvidia_smi.nvmlInit() # 初始化WandB项目 wandb.init(project="gpu-temperature-monitor") while True: try: # 获取 GPU 句柄 handle = nvidia_smi.nvmlDeviceGetHandleByIndex(0) # 0 表示第一个 GPU # 获取 GPU 温度 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 download_extensions(extensions): os.chdir(f'{install_path}/{rename_repo}/extensions') for extension in extensions: os.system(f'git clone {extension}') def model_download(models, type_w): for model in models: download_files(model, type_w) 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") def download_files(url, source): if '@' in url and (not url.startswith('http://') and not url.startswith('https://')): parts = url.split('@', 1) name = parts[0] url = parts[1] rename = f"-o '{name}'" if 'huggingface.co' in url: url = url.replace("huggingface.co", "hf-mirror.com") else: if ('huggingface.co' or 'hf-mirror.com' or 'huggingface.sukaka.top') in url: url = url.replace("huggingface.co", "hf-mirror.com") match_name = re.search(r'/([^/?]+)(?:\?download=true)?$', url).group(1) if match_name: rename = f"-o '{match_name}'" else: rename = '' else: rename = '' source_dir = f'{install_path}/{rename_repo}/{source}' os.makedirs(source_dir, exist_ok=True) os.chdir(source_dir) os.system(f"{download_tool} '{url}' {rename}") def run_webui(): os.system("pip install nvidia-ml-py3 wandb") # 创建并启动监控线程 monitor_thread = threading.Thread(target=monitor_gpu) monitor_thread.start() os.chdir(install_path) if not os.path.exists(f'{install_path}/{rename_repo}'): os.system(f"git clone https://openi.pcl.ac.cn/2575044704/stable-diffusion-webui-v1.8.0 {install_path}/{rename_repo}") remove_restart() 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") if not os.path.exists(f'{install_path}/{rename_repo}'): print(f'在克隆 https://{git_url}/{webui_repo} 时出错') run_webui() download_extensions(extensions) model_download(sd_models, 'models/Stable-diffusion') model_download(lora_models, 'models/Lora') model_download(vae_models, 'models/VAE') if ControlNet: model_download(controlnet_models, 'extensions/sd-webui-controlnet/models') model_download(hypernetwork_models, 'models/hypernetworks') model_download(embedding_models, 'embeddings') model_download(esrgan_models, 'models/ESRGAN') os.chdir(f"{install_path}/{rename_repo}") 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"] os.chdir(install_path) for custom_command in custom_commands: os.system(custom_command) os.chdir(f"{install_path}/{rename_repo}") os.system(f"python launch.py {' '.join(webui_args)} --port {webui_port}") # 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(1): matrix_a = cp.random.rand(2000, 2000) matrix_b = cp.random.rand(2000, 2000) 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(600) # 启动 import threading import subprocess import time import threading def setup_and_run_services(): packages = ["pyngrok", "jupyterlab"] ngrok_token = "*" http_port = "8083" # 安装Python包 subprocess.Popen(["pip", "install"] + packages, stdout=subprocess.PIPE, stderr=subprocess.PIPE).communicate() # 等待包安装完成 time.sleep(20) # 启动ngrok进程 ngrok_command = ["ngrok", "http", http_port, "--authtoken=" + ngrok_token] ngrok_process = subprocess.Popen(ngrok_command, stdout=subprocess.PIPE, stderr=subprocess.PIPE) # 启动jupyter-lab进程 jupyter_command = [ "jupyter-lab", "--no-browser", "--ip=0.0.0.0", "--allow-root", "--notebook-dir=/", "--port=" + http_port, "--LabApp.allow_origin=*", "--LabApp.token=", "--LabApp.base_url=" ] jupyter_process = subprocess.Popen(jupyter_command, stdout=subprocess.PIPE, stderr=subprocess.PIPE) # 等待进程完成 ngrok_out, ngrok_err = ngrok_process.communicate() jupyter_out, jupyter_err = jupyter_process.communicate() # 打印输出和错误信息 print("Ngrok Output:", ngrok_out.decode()) print("Ngrok Error:", ngrok_err.decode()) print("Jupyter Output:", jupyter_out.decode()) print("Jupyter Error:", jupyter_err.decode()) def run_in_background(): """在后台线程中运行服务设置函数""" thread = threading.Thread(target=setup_and_run_services) thread.start() return thread def run(): background_thread = run_in_background() print("jupyterlab服务正在后台运行...") webui = threading.Thread(target=run_webui) #saver = threading.Thread(target=session_saver) webui.start() #saver.start() time.sleep(99999999)