scripts/mainrunpodA1111.py

import os
from IPython.display import clear_output
from subprocess import call, getoutput, Popen, run
import time
import ipywidgets as widgets
import requests
import sys
import fileinput
from torch.hub import download_url_to_file
from urllib.parse import urlparse, parse_qs, unquote
import re
import six
import gdown

from urllib.request import urlopen, Request
import tempfile
from tqdm import tqdm 
from bs4 import BeautifulSoup




def Deps(force_reinstall):

    if not force_reinstall and os.path.exists('/usr/local/lib/python3.10/dist-packages/safetensors'):
        ntbks()
        print('Modules and notebooks updated, dependencies already installed')
        os.environ['TORCH_HOME'] = '/workspace/cache/torch'
        os.environ['PYTHONWARNINGS'] = 'ignore'
    else:
        call('pip install --root-user-action=ignore --disable-pip-version-check --no-deps -qq gdown PyWavelets numpy==1.23.5 accelerate==0.12.0 --force-reinstall', shell=True, stdout=open('/dev/null', 'w'))
        ntbks()
        if os.path.exists('deps'):
            call("rm -r deps", shell=True)
        if os.path.exists('diffusers'):
            call("rm -r diffusers", shell=True)
        call('mkdir deps', shell=True)
        if not os.path.exists('cache'):
            call('mkdir cache', shell=True)
        os.chdir('deps')
        dwn("https://huggingface.co/TheLastBen/dependencies/resolve/main/rnpddeps-t2.tar.zst", "/workspace/deps/rnpddeps-t2.tar.zst", "Installing dependencies")
        call('tar -C / --zstd -xf rnpddeps-t2.tar.zst', shell=True, stdout=open('/dev/null', 'w'))
        call("sed -i 's@~/.cache@/workspace/cache@' /usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py", shell=True)
        os.chdir('/workspace')
        call("git clone --depth 1 -q --branch main https://github.com/TheLastBen/diffusers", shell=True, stdout=open('/dev/null', 'w'))
        call('pip install --root-user-action=ignore --disable-pip-version-check -qq gradio==3.41.2', shell=True, stdout=open('/dev/null', 'w'))
        call("rm -r deps", shell=True)
        os.chdir('/workspace')
        os.environ['TORCH_HOME'] = '/workspace/cache/torch'
        os.environ['PYTHONWARNINGS'] = 'ignore'
        call("sed -i 's@text = _formatwarnmsg(msg)@text =\"\"@g' /usr/lib/python3.10/warnings.py", shell=True)
        clear_output()

        done()


def dwn(url, dst, msg):
    file_size = None
    req = Request(url, headers={"User-Agent": "torch.hub"})
    u = urlopen(req)
    meta = u.info()
    if hasattr(meta, 'getheaders'):
        content_length = meta.getheaders("Content-Length")
    else:
        content_length = meta.get_all("Content-Length")
    if content_length is not None and len(content_length) > 0:
        file_size = int(content_length[0])

    with tqdm(total=file_size, disable=False, mininterval=0.5,
              bar_format=msg+' |{bar:20}| {percentage:3.0f}%') as pbar:
        with open(dst, "wb") as f:
            while True:
                buffer = u.read(8192)
                if len(buffer) == 0:
                    break
                f.write(buffer)
                pbar.update(len(buffer))
            f.close()


def ntbks():

    os.chdir('/workspace')
    if not os.path.exists('Latest_Notebooks'):
        call('mkdir Latest_Notebooks', shell=True)
    else:
        call('rm -r Latest_Notebooks', shell=True)
        call('mkdir Latest_Notebooks', shell=True)
    os.chdir('/workspace/Latest_Notebooks')
    call('wget -q -i https://huggingface.co/datasets/TheLastBen/RNPD/raw/main/Notebooks.txt', shell=True)
    call('rm Notebooks.txt', shell=True)
    os.chdir('/workspace')


def repo(Huggingface_token_optional):

    from slugify import slugify
    from huggingface_hub import HfApi, CommitOperationAdd, create_repo
    
    os.chdir('/workspace')
    if Huggingface_token_optional!="":
       username = HfApi().whoami(Huggingface_token_optional)["name"]
       backup=f"https://huggingface.co/datasets/{username}/fast-stable-diffusion/resolve/main/sd_backup_rnpd.tar.zst"
       headers = {"Authorization": f"Bearer {Huggingface_token_optional}"}
       response = requests.head(backup, headers=headers)
       if response.status_code == 302:
          print('Restoring the SD folder...')
          open('/workspace/sd_backup_rnpd.tar.zst', 'wb').write(requests.get(backup, headers=headers).content)
          call('tar --zstd -xf sd_backup_rnpd.tar.zst', shell=True)
          call('rm sd_backup_rnpd.tar.zst', shell=True)
       else:
          print('Backup not found, using a fresh/existing repo...')
          time.sleep(2)
          if not os.path.exists('/workspace/sd/stablediffusiond'): #reset later
             call('wget -q -O sd_mrep.tar.zst https://huggingface.co/TheLastBen/dependencies/resolve/main/sd_mrep.tar.zst', shell=True)
             call('tar --zstd -xf sd_mrep.tar.zst', shell=True)
             call('rm sd_mrep.tar.zst', shell=True)        
          os.chdir('/workspace/sd')
          if not os.path.exists('stable-diffusion-webui'):
              call('git clone -q --depth 1 --branch master https://github.com/AUTOMATIC1111/stable-diffusion-webui', shell=True)
        
    else:
        print('Installing/Updating the repo...')
        os.chdir('/workspace')
        if not os.path.exists('/workspace/sd/stablediffusiond'): #reset later
           call('wget -q -O sd_mrep.tar.zst https://huggingface.co/TheLastBen/dependencies/resolve/main/sd_mrep.tar.zst', shell=True)
           call('tar --zstd -xf sd_mrep.tar.zst', shell=True)
           call('rm sd_mrep.tar.zst', shell=True)        

        os.chdir('/workspace/sd')
        if not os.path.exists('stable-diffusion-webui'):
            call('git clone -q --depth 1 --branch master https://github.com/AUTOMATIC1111/stable-diffusion-webui', shell=True)

    call('wget -O /workspace/sd/stable-diffusion-webui/config.json https://huggingface.co/spaces/stlaurentjr/RNPD/raw/main/config/config.json', shell=True)

    os.chdir('/workspace/sd/stable-diffusion-webui/')
    call('git reset --hard', shell=True)
    print('')
    call('git pull', shell=True)
    os.chdir('/workspace')
    clear_output()
    done()



def mdl(Original_Model_Version, Path_to_MODEL, MODEL_LINK):

    import gdown
    
    src=getsrc(MODEL_LINK)  

    if os.path.exists('/workspace/sd/stable-diffusion-webui/models/VAE'):
        call('ln -s /workspace/auto-VAE/* /workspace/sd/stable-diffusion-webui/models/VAE', shell=True)
    else:
        call('mkdir -p /workspace/sd/stable-diffusion-webui/models/VAE', shell=True)
        call('ln -s /workspace/auto-VAE/* /workspace/sd/stable-diffusion-webui/models/VAE', shell=True)

    if not os.path.exists('/workspace/sd/stable-diffusion-webui/models/Stable-diffusion/SDv1-5.ckpt'):
        call('ln -s /workspace/auto-models/* /workspace/sd/stable-diffusion-webui/models/Stable-diffusion', shell=True)
    
    if not os.path.exists('/workspace/sd/stable-diffusion-webui/models/Lora'):
        call('mkdir -p /workspace/sd/stable-diffusion-webui/models/Lora', shell=True)
        call('ln -s /workspace/auto-lora/* /workspace/sd/stable-diffusion-webui/models/Lora', shell=True)

    if Path_to_MODEL !='':
      if os.path.exists(str(Path_to_MODEL)):
        print('Using the custom model')
        model=Path_to_MODEL
      else:
          print('Wrong path, check that the path to the model is correct')

    elif MODEL_LINK !="":

      if src=='civitai':
         modelname=get_name(MODEL_LINK, False)
         model=f'/workspace/sd/stable-diffusion-webui/models/Stable-diffusion/{modelname}'
         if not os.path.exists(model):
            dwn(MODEL_LINK, model, 'Downloading the custom model')
            clear_output()
         else:
            print('Model already exists')
      elif src=='gdrive':
         modelname=get_name(MODEL_LINK, True)
         model=f'/workspace/sd/stable-diffusion-webui/models/Stable-diffusion/{modelname}'
         if not os.path.exists(model):
            gdown.download(url=MODEL_LINK, output=model, quiet=False, fuzzy=True)
            clear_output()
         else:
            print('Model already exists')
      else:
         modelname=os.path.basename(MODEL_LINK)
         model=f'/workspace/sd/stable-diffusion-webui/models/Stable-diffusion/{modelname}'
         if not os.path.exists(model):
            gdown.download(url=MODEL_LINK, output=model, quiet=False, fuzzy=True)
            clear_output()
         else:
            print('Model already exists')

      if os.path.exists(model) and os.path.getsize(model) > 1810671599:
        print('Model downloaded, using the custom model.')
      else:
        call('rm '+model, shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w'))
        print('Wrong link, check that the link is valid')

    else:
        if Original_Model_Version == "v1.5":
           model="/workspace/sd/stable-diffusion-webui/models/Stable-diffusion/SDv1-5.ckpt"
           print('Using the original V1.5 model')
        elif Original_Model_Version == "v2-512":
            model='/workspace/sd/stable-diffusion-webui/models/Stable-diffusion/SDv2-512.ckpt'
            if not os.path.exists('/workspace/sd/stable-diffusion-webui/models/Stable-diffusion/SDv2-512.ckpt'):
               print('Downloading the V2-512 model...')
               call('gdown -O '+model+' https://huggingface.co/stabilityai/stable-diffusion-2-1-base/resolve/main/v2-1_512-nonema-pruned.ckpt', shell=True)
               clear_output()
            print('Using the original V2-512 model')
        elif Original_Model_Version == "v2-768":
           model="/workspace/sd/stable-diffusion-webui/models/Stable-diffusion/SDv2-768.ckpt"
           print('Using the original V2-768 model')
        elif Original_Model_Version == "SDXL":
            model="/workspace/sd/stable-diffusion-webui/models/Stable-diffusion/sd_xl_base_1.0.safetensors"
            print('Using the original SDXL model')

        else:
            model="/workspace/sd/stable-diffusion-webui/models/Stable-diffusion"
            print('Wrong model version, try again')
    try:
        model
    except:
        model="/workspace/sd/stable-diffusion-webui/models/Stable-diffusion"

    return model
def modeldwn(model_LINK):

    if model_LINK=='':
        print('Nothing to do')
    else:
        os.makedirs('/workspace/sd/stable-diffusion-webui/models/Stable-diffusion', exist_ok=True)

        src=getsrc(model_LINK)

        if src=='civitai':
            modelname=get_name(model_LINK, False)
            loramodel=f'/workspace/sd/stable-diffusion-webui/models/Stable-diffusion/{modelname}'
            if not os.path.exists(loramodel):
              dwn(model_LINK, loramodel, 'Downloading the LoRA model')
              clear_output()
            else:
              print('Model already exists')
        elif src=='gdrive':
            modelname=get_true_name(model_LINK)
            loramodel=f'/workspace/sd/stable-diffusion-webui/models/Stable-diffusion/{modelname}'
            if not os.path.exists(loramodel):
              gdown.download(url=model_LINK.replace('/file/d/', '/uc?id=').replace('/view', ''), output=loramodel, quiet=False)
              clear_output()
            else:
              print('Model already exists')
        else:
            modelname=os.path.basename(model_LINK)
            loramodel=f'/workspace/sd/stable-diffusion-webui/models/Stable-diffusion/{modelname}'
            if not os.path.exists(loramodel):
              gdown.download(url=model_LINK, output=loramodel, quiet=False, fuzzy=True)
              clear_output()
            else:
              print('Model already exists')

        if os.path.exists(loramodel) :
          print('Checkpoints downloaded')
        else:
          print('Wrong link, check that the link is valid')

def loradwn(LoRA_LINK):

    if LoRA_LINK=='':
        print('Nothing to do')
    else:
        os.makedirs('/workspace/sd/stable-diffusion-webui/models/Lora', exist_ok=True)

        src=getsrc(LoRA_LINK)

        if src=='civitai':
            modelname=get_name(LoRA_LINK, False)
            loramodel=f'/workspace/sd/stable-diffusion-webui/models/Lora/{modelname}'
            if not os.path.exists(loramodel):
              dwn(LoRA_LINK, loramodel, 'Downloading the LoRA model')
              clear_output()
            else:
              print('Model already exists')
        elif src=='gdrive':
            modelname=get_true_name(LoRA_LINK)
            loramodel=f'/workspace/sd/stable-diffusion-webui/models/Lora/{modelname}'
            if not os.path.exists(loramodel):
              gdown.download(url=LoRA_LINK.replace('/file/d/', '/uc?id=').replace('/view', ''), output=loramodel, quiet=False)
              clear_output()
            else:
              print('Model already exists')
        else:
            modelname=os.path.basename(LoRA_LINK)
            loramodel=f'/workspace/sd/stable-diffusion-webui/models/Lora/{modelname}'
            if not os.path.exists(loramodel):
              gdown.download(url=LoRA_LINK, output=loramodel, quiet=False, fuzzy=True)
              clear_output()
            else:
              print('Model already exists')

        if os.path.exists(loramodel) :
          print('LoRA downloaded')
        else:
          print('Wrong link, check that the link is valid')



def CNet(ControlNet_Model, ControlNet_XL_Model):
    
    def download(url, model_dir):

        filename = os.path.basename(urlparse(url).path)
        pth = os.path.abspath(os.path.join(model_dir, filename))
        if not os.path.exists(pth):
            print('Downloading: '+os.path.basename(url))
            download_url_to_file(url, pth, hash_prefix=None, progress=True)
        else:
          print(f"The model {filename} already exists")    

    wrngv1=False
    os.chdir('/workspace/sd/stable-diffusion-webui/extensions')
    if not os.path.exists("sd-webui-controlnet"):
      call('git clone https://github.com/Mikubill/sd-webui-controlnet.git', shell=True)
      os.chdir('/workspace')
    else:
      os.chdir('sd-webui-controlnet')
      call('git reset --hard', shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w'))
      call('git pull', shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w'))
      os.chdir('/workspace')

    mdldir="/workspace/sd/stable-diffusion-webui/extensions/sd-webui-controlnet/models"
    for filename in os.listdir(mdldir):
      if "_sd14v1" in filename:
        renamed = re.sub("_sd14v1", "-fp16", filename)
        os.rename(os.path.join(mdldir, filename), os.path.join(mdldir, renamed))

    call('wget -q -O CN_models.txt https://github.com/TheLastBen/fast-stable-diffusion/raw/main/AUTOMATIC1111_files/CN_models.txt', shell=True)
    call('wget -q -O CN_models_XL.txt https://github.com/TheLastBen/fast-stable-diffusion/raw/main/AUTOMATIC1111_files/CN_models_XL.txt', shell=True)
      
    with open("CN_models.txt", 'r') as f:
        mdllnk = f.read().splitlines()
    with open("CN_models_XL.txt", 'r') as d:
        mdllnk_XL = d.read().splitlines()
    call('rm CN_models.txt CN_models_XL.txt', shell=True)
    
    os.chdir('/workspace')

    if ControlNet_Model == "All" or ControlNet_Model == "all" :     
      for lnk in mdllnk:
          download(lnk, mdldir)
      clear_output()

      
    elif ControlNet_Model == "15":
      mdllnk=list(filter(lambda x: 't2i' in x, mdllnk))
      for lnk in mdllnk:
          download(lnk, mdldir)
      clear_output()        


    elif ControlNet_Model.isdigit() and int(ControlNet_Model)-1<14 and int(ControlNet_Model)>0:
      download(mdllnk[int(ControlNet_Model)-1], mdldir)
      clear_output()
      
    elif ControlNet_Model == "none":
       pass
       clear_output()

    else:
      print('Wrong ControlNet V1 choice, try again')
      wrngv1=True


    if ControlNet_XL_Model == "All" or ControlNet_XL_Model == "all" :
      for lnk_XL in mdllnk_XL:
          download(lnk_XL, mdldir)
      if not wrngv1:
        clear_output()
      done()

    elif ControlNet_XL_Model.isdigit() and int(ControlNet_XL_Model)-1<5:
      download(mdllnk_XL[int(ControlNet_XL_Model)-1], mdldir)
      if not wrngv1:
        clear_output()
      done()
    
    elif ControlNet_XL_Model == "none":
       pass
       if not wrngv1:
        clear_output()
       done()       

    else:
      print('Wrong ControlNet XL choice, try again')



def sd(User, Password, model):

    import gradio
    
    gradio.close_all()
    
    auth=f"--gradio-auth {User}:{Password}"
    if User =="" or Password=="":
      auth=""

    call('wget -q -O /usr/local/lib/python3.10/dist-packages/gradio/blocks.py https://raw.githubusercontent.com/TheLastBen/fast-stable-diffusion/main/AUTOMATIC1111_files/blocks.py', shell=True)
   
    os.chdir('/workspace/sd/stable-diffusion-webui/modules')

    call("sed -i 's@possible_sd_paths =.*@possible_sd_paths = [\"/workspace/sd/stablediffusion\"]@' /workspace/sd/stable-diffusion-webui/modules/paths.py", shell=True)
    call("sed -i 's@\.\.\/@src/@g' /workspace/sd/stable-diffusion-webui/modules/paths.py", shell=True)
    call("sed -i 's@src\/generative-models@generative-models@g' /workspace/sd/stable-diffusion-webui/modules/paths.py", shell=True)
    
    call("sed -i 's@\[\"sd_model_checkpoint\"\]@\[\"sd_model_checkpoint\", \"sd_vae\", \"CLIP_stop_at_last_layers\", \"inpainting_mask_weight\", \"initial_noise_multiplier\"\]@g' /workspace/sd/stable-diffusion-webui/modules/shared.py", shell=True)
    
    call("sed -i 's@print(\"No module.*@@' /workspace/sd/stablediffusion/ldm/modules/diffusionmodules/model.py", shell=True)

    os.chdir('/workspace/sd/stable-diffusion-webui')
    clear_output()

    podid=os.environ.get('RUNPOD_POD_ID')
    localurl=f"{podid}-3001.proxy.runpod.net"

    for line in fileinput.input('/usr/local/lib/python3.10/dist-packages/gradio/blocks.py', inplace=True):
      if line.strip().startswith('self.server_name ='):
          line = f'            self.server_name = "{localurl}"\n'
      if line.strip().startswith('self.protocol = "https"'):
          line = '            self.protocol = "https"\n'
      if line.strip().startswith('if self.local_url.startswith("https") or self.is_colab'):
          line = ''
      if line.strip().startswith('else "http"'):
          line = ''
      sys.stdout.write(line)
      
    if model=="":
        mdlpth=""
    else:
        if os.path.isfile(model):
            mdlpth="--ckpt "+model
        else:
            mdlpth="--ckpt-dir "+model
    vae_path = "--vae-path /workspace/sd/stable-diffusion-webui/models/VAE/vae-ft-mse-840000-ema-pruned.safetensors"
    configf="--disable-console-progressbars --no-half-vae --disable-safe-unpickle --api --no-download-sd-model --opt-sdp-attention --enable-insecure-extension-access  --skip-version-check --listen --port 3000 "+auth+" "+mdlpth+" "+vae_path

    return configf



def save(Huggingface_Write_token):
    
    from slugify import slugify
    from huggingface_hub import HfApi, CommitOperationAdd, create_repo
    
    if Huggingface_Write_token=="":
        print('A huggingface write token is required')
        
    else:
        os.chdir('/workspace')
        
        if os.path.exists('sd'):
        
            call('tar --exclude="stable-diffusion-webui/models/*/*" --exclude="sd-webui-controlnet/models/*" --zstd -cf sd_backup_rnpd.tar.zst sd', shell=True)
            api = HfApi()
            username = api.whoami(token=Huggingface_Write_token)["name"]

            repo_id = f"{username}/{slugify('fast-stable-diffusion')}"

            print("Backing up...")

            operations = [CommitOperationAdd(path_in_repo="sd_backup_rnpd.tar.zst", path_or_fileobj="/workspace/sd_backup_rnpd.tar.zst")]

            create_repo(repo_id,private=True, token=Huggingface_Write_token, exist_ok=True, repo_type="dataset")

            api.create_commit(
              repo_id=repo_id,
              repo_type="dataset",
              operations=operations,
              commit_message="SD folder Backup",
              token=Huggingface_Write_token
            )

            call('rm sd_backup_rnpd.tar.zst', shell=True)
            clear_output()

            done()
     
        else:
            print('Nothing to backup')
        



def getsrc(url):

    parsed_url = urlparse(url)
    
    if parsed_url.netloc == 'civitai.com':
        src='civitai'
    elif parsed_url.netloc == 'drive.google.com':
        src='gdrive'
    elif parsed_url.netloc == 'huggingface.co':
        src='huggingface'
    else:
        src='others'
    return src

def get_true_name(url):
    response = requests.get(url)
    soup = BeautifulSoup(response.text, 'html.parser')
    title_tag = soup.find('title')
    if title_tag:
        title_text = title_tag.text
        # Извлечение имени файла из тега title (предполагая, что имя файла указано в теге title)
        file_name = title_text.split(' - ')[0]
        return file_name
    else:
        raise RuntimeError('Could not find the title tag in the HTML')

def get_name(url, gdrive):

    from gdown.download import get_url_from_gdrive_confirmation

    if not gdrive:
        response = requests.get(url, allow_redirects=False)
        if "Location" in response.headers:
            redirected_url = response.headers["Location"]
            quer = parse_qs(urlparse(redirected_url).query)
            if "response-content-disposition" in quer:
                disp_val = quer["response-content-disposition"][0].split(";")
                for vals in disp_val:
                    if vals.strip().startswith("filename="):
                        filenm=unquote(vals.split("=", 1)[1].strip())
                        return filenm.replace("\"","")
    else:
        headers = {"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36"}
        lnk="https://drive.google.com/uc?id={id}&export=download".format(id=url[url.find("/d/")+3:url.find("/view")])
        res = requests.session().get(lnk, headers=headers, stream=True, verify=True)
        res = requests.session().get(get_url_from_gdrive_confirmation(res.text), headers=headers, stream=True, verify=True)
        content_disposition = six.moves.urllib_parse.unquote(res.headers["Content-Disposition"])
        filenm = re.search(r"filename\*=UTF-8''(.*)", content_disposition).groups()[0].replace(os.path.sep, "_")
        return filenm   




def done():
    done = widgets.Button(
        description='Done!',
        disabled=True,
        button_style='success',
        tooltip='',
        icon='check'
    )
    display(done)