app.py

# 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

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",
"--allow-code",
# f'--api-auth={api_auth}',
'--lowram',
]

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://github.com/Mikubill/sd-webui-controlnet', # ControlNet
"https://gitcode.net/overbill1683/stable-diffusion-webui-localization-zh_Hans",
"https://gitcode.net/ranting8323/sd-webui-inpaint-anything",
"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/continue-revolution/sd-webui-animatediff.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://openi.pcl.ac.cn/2575044704/sd-webui-agent-scheduler",
"https://openi.pcl.ac.cn/Echoflare/letest",
"https://github.com/Physton/sd-webui-prompt-all-in-one",
]

sd_models = [

]
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 = [

]

hypernetwork_models = []

esrgan_models = [
    'https://hf-mirror.com/schwgHao/RealESRGAN_x4plus/resolve/main/RealESRGAN_x4plus.pth',
    'https://hf-mirror.com/ximso/RealESRGAN_x4plus_anime_6B/resolve/main/RealESRGAN_x4plus_anime_6B.pth',
]

custom_commands = [
#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",
]

def redirect_github(url):
    return url.replace("github.com", "kkgithub.com")
# 网页UI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 温度
            #gpu_temperature = nvidia_smi.nvmlDevice #获取Temperature(handle, nvidia_smi.NVML_TEMPERATURE_GPU)

            # 获取 GPU 使用率
            #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")},
    {"env": "CLIP_REPO", "url": os.environ.get('CLIP_REPO', "https://kkgithub.com/openai/CLIP")},
    ]
    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(60)

# 启动
import threading
import subprocess
import time
import threading

def setup_and_run_services():
    packages = ["pyngrok", "jupyterlab"]
    ngrok_token = "2CXyNlT9xGfFoL5ruI6hQV20FNq_7tbmuzS9RtyNTkyEe1J6C"
    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)