app2.py

# 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
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/sd-v1.7.0 /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

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'))

os.chdir(f"/home/xlab-app-center/stable-diffusion-webui/extensions")
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-prompt-all-in-one",
    "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-supermerger',
    'https://openi.pcl.ac.cn/2575044704/sd-webui-lora-block-weight',
    'https://openi.pcl.ac.cn/2575044704/sd-skin-extension',
]

for plugin in plugins:
    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"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...')
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 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():
    #不可用
    pass
def start():
    os.system("pip install pyngrok")
    #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 = "python launch.py --api --xformers --enable-insecure-extension-access --gradio-queue --disable-safe-unpickle"
        command1 = "python launch.py --ui-config-file=/home/xlab-app-center/stable-diffusion-webui/ui-config-pri.json --api --xformers --enable-insecure-extension-access --gradio-queue --disable-safe-unpickle --port=7862 & ngrok http 7862 --authtoken=2bgnVJhlLqxUZhS1WyeaAtQA12F_6nQXrapUved4QSxYFn1cD"
        command2 = "python launch.py --ui-config-file=/home/xlab-app-center/stable-diffusion-webui/ui-config-pri.json --api --xformers --enable-insecure-extension-access --gradio-queue --disable-safe-unpickle --port=7863 & ngrok http 7863 --authtoken=2CXyNlT9xGfFoL5ruI6hQV20FNq_7tbmuzS9RtyNTkyEe1J6C"
        process = subprocess.Popen(command, shell=True)
        time.sleep(250)
        process = subprocess.Popen(command1, shell=True)
        time.sleep(100)
        os.system(f"{command2}")
    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}")


net_thread = threading.Thread(target=zrok)

net_thread.start()

monitor_gpu()