import os from IPython.display import clear_output from subprocess import call, getoutput, run import time import sys import fileinput import ipywidgets as widgets from torch.hub import download_url_to_file from urllib.parse import urlparse from urllib.parse import urlparse, parse_qs, unquote import re import requests from urllib.request import urlopen, Request import tempfile from tqdm import tqdm def Deps(force_reinstall): if not force_reinstall and os.path.exists('/usr/local/lib/python3.9/dist-packages/safetensors'): ntbk() os.environ['TORCH_HOME'] = '/notebooks/cache/torch' os.environ['PYTHONWARNINGS'] = 'ignore' print('Modules and notebooks updated, dependencies already installed') else: call("pip install --root-user-action=ignore --no-deps -q accelerate==0.12.0", shell=True, stdout=open('/dev/null', 'w')) if not os.path.exists('/usr/local/lib/python3.9/dist-packages/safetensors'): os.chdir('/usr/local/lib/python3.9/dist-packages') call("rm -r torch torch-1.12.1+cu116.dist-info torchaudio* torchvision* PIL Pillow* transformers* numpy* gdown*", shell=True, stdout=open('/dev/null', 'w')) ntbk() if not os.path.exists('/models'): call('mkdir /models', shell=True) if not os.path.exists('/notebooks/models'): call('ln -s /models /notebooks', shell=True) if os.path.exists('/deps'): call("rm -r /deps", shell=True) call('mkdir /deps', shell=True) if not os.path.exists('cache'): call('mkdir cache', shell=True) os.chdir('/deps') call('wget -q -i https://raw.githubusercontent.com/TheLastBen/fast-stable-diffusion/main/Dependencies/aptdeps.txt', shell=True) call('dpkg -i *.deb', shell=True, stdout=open('/dev/null', 'w')) depsinst("https://huggingface.co/TheLastBen/dependencies/resolve/main/ppsdeps.tar.zst", "/deps/ppsdeps.tar.zst") call('tar -C / --zstd -xf ppsdeps.tar.zst', shell=True, stdout=open('/dev/null', 'w')) call("sed -i 's@~/.cache@/notebooks/cache@' /usr/local/lib/python3.9/dist-packages/transformers/utils/hub.py", shell=True) os.chdir('/notebooks') call("git clone --depth 1 -q --branch main https://github.com/TheLastBen/diffusers /diffusers", shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w')) os.environ['TORCH_HOME'] = '/notebooks/cache/torch' os.environ['PYTHONWARNINGS'] = 'ignore' if not os.path.exists('/notebooks/diffusers'): call('ln -s /diffusers /notebooks', shell=True) call("rm -r /deps", shell=True) os.chdir('/notebooks') clear_output() done() def depsinst(url, dst): 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='Installing dependencies |{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 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 ntbk(): os.chdir('/notebooks') 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('/notebooks/Latest_Notebooks') call('wget -q -i https://huggingface.co/datasets/TheLastBen/PPS/raw/main/Notebooks.txt', shell=True) call('rm Notebooks.txt', shell=True) os.chdir('/notebooks') def repo(): print('Installing/Updating the repo...') os.chdir('/notebooks') if not os.path.exists('/notebooks/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('/notebooks/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) os.chdir('/notebooks/sd/stable-diffusion-webui/') call('git reset --hard', shell=True, stdout=open('/dev/null', 'w')) print('') call('git checkout master', shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w')) call('git pull', shell=True, stdout=open('/dev/null', 'w')) os.chdir('/notebooks') clear_output() done() def mdl(Original_Model_Version, Path_to_MODEL, MODEL_LINK, safetensors, Temporary_Storage): import gdown if Path_to_MODEL !='': if os.path.exists(str(Path_to_MODEL)): print('Using the trained model.') model=Path_to_MODEL else: print('Wrong path, check that the path to the model is correct') elif MODEL_LINK != "": modelname="model.safetensors" if safetensors else "model.ckpt" if Temporary_Storage: model=f'/models/{modelname}' else: model=f'/notebooks/sd/stable-diffusion-webui/models/Stable-diffusion/{modelname}' if os.path.exists(model): call('rm '+model, shell=True) gdown.download(url=MODEL_LINK, output=model, quiet=False, fuzzy=True) if os.path.exists(model) and os.path.getsize(model) > 1810671599: clear_output() print('Model downloaded, using the trained model.') else: print('Wrong link, check that the link is valid') else: if Original_Model_Version == "v1.5": model="/datasets/stable-diffusion-classic/SDv1.5.ckpt" print('Using the original V1.5 model') elif Original_Model_Version == "v2-512": model="/datasets/stable-diffusion-v2-1-base-diffusers/stable-diffusion-2-1-base/v2-1_512-nonema-pruned.safetensors" print('Using the original V2-512 model') elif Original_Model_Version == "v2-768": model="/datasets/stable-diffusion-v2-1/stable-diffusion-2-1/v2-1_768-nonema-pruned.safetensors" print('Using the original V2-768 model') elif Original_Model_Version == "SDXL": model="/notebooks/sd/stable-diffusion-webui/models/Stable-diffusion/sd_xl_base_1.0.safetensors" if not os.path.exists('/notebooks/sd/stable-diffusion-webui/models/Stable-diffusion/sd_xl_base_1.0.safetensors'): print('Downloading SDXL...') call('gdown -O '+model+' https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors', shell=True) clear_output() print('Using the original SDXL model') else: model="" print('Wrong model version') try: model except: model="/notebooks/sd/stable-diffusion-webui/models/Stable-diffusion" return model def mdls(Original_Model_Version, Path_to_MODEL, MODEL_LINK, Temporary_Storage): import gdown from gdown.download import get_url_from_gdrive_confirmation 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 src=getsrc(MODEL_LINK) def get_name(url, gdrive): 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 call('ln -s /datasets/stable-diffusion-classic/SDv1.5.ckpt /notebooks/sd/stable-diffusion-webui/models/Stable-diffusion', shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w')) call('ln -s /datasets/stable-diffusion-v2-1-base-diffusers/stable-diffusion-2-1-base/v2-1_512-nonema-pruned.safetensors /notebooks/sd/stable-diffusion-webui/models/Stable-diffusion', shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w')) call('ln -s /datasets/stable-diffusion-v2-1/stable-diffusion-2-1/v2-1_768-nonema-pruned.safetensors /notebooks/sd/stable-diffusion-webui/models/Stable-diffusion', shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w')) 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) if Temporary_Storage: model=f'/models/{modelname}' else: model=f'/notebooks/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) if Temporary_Storage: model=f'/models/{modelname}' else: model=f'/notebooks/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) if Temporary_Storage: model=f'/models/{modelname}' else: model=f'/notebooks/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="/datasets/stable-diffusion-classic/SDv1.5.ckpt" print('Using the original V1.5 model') elif Original_Model_Version == "v2-512": model="/datasets/stable-diffusion-v2-1-base-diffusers/stable-diffusion-2-1-base/v2-1_512-nonema-pruned.safetensors" print('Using the original V2-512 model') elif Original_Model_Version == "v2-768": model="/datasets/stable-diffusion-v2-1/stable-diffusion-2-1/v2-1_768-nonema-pruned.safetensors" print('Using the original V2-768 model') elif Original_Model_Version == "SDXL": model="/notebooks/sd/stable-diffusion-webui/models/Stable-diffusion/sd_xl_base_1.0.safetensors" if not os.path.exists('/notebooks/sd/stable-diffusion-webui/models/Stable-diffusion/sd_xl_base_1.0.safetensors'): print('Downloading SDXL...') call('gdown -O '+model+' https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors', shell=True) clear_output() print('Using the original SDXL model') else: model="/notebooks/sd/stable-diffusion-webui/models/Stable-diffusion" print('Wrong model version, try again') try: model except: model="/notebooks/sd/stable-diffusion-webui/models/Stable-diffusion" return model def CN(ControlNet_Model, ControlNet_v2_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('/notebooks/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('/notebooks') 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('/notebooks') mdldir="/notebooks/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_v2.txt https://github.com/TheLastBen/fast-stable-diffusion/raw/main/AUTOMATIC1111_files/CN_models_v2.txt', shell=True) with open("CN_models.txt", 'r') as f: mdllnk = f.read().splitlines() with open("CN_models_v2.txt", 'r') as d: mdllnk_v2 = d.read().splitlines() call('rm CN_models.txt CN_models_v2.txt', shell=True) cfgnames=[os.path.basename(url).split('.')[0]+'.yaml' for url in mdllnk_v2] os.chdir('/notebooks/sd/stable-diffusion-webui/extensions/sd-webui-controlnet/models') for name in cfgnames: run(['cp', 'cldm_v21.yaml', name]) os.chdir('/notebooks') 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_v2_Model == "All" or ControlNet_v2_Model == "all" : for lnk_v2 in mdllnk_v2: download(lnk_v2, mdldir) if not wrngv1: clear_output() done() elif ControlNet_v2_Model.isdigit() and int(ControlNet_v2_Model)-1<5: download(mdllnk_v2[int(ControlNet_v2_Model)-1], mdldir) if not wrngv1: clear_output() done() elif ControlNet_v2_Model == "none": pass if not wrngv1: clear_output() done() else: print('Wrong ControlNet V2 choice, try again') def sdui(User, Password, model): auth=f"--gradio-auth {User}:{Password}" if User =="" or Password=="": auth="" call('wget -q -O /usr/local/lib/python3.9/dist-packages/gradio/blocks.py https://raw.githubusercontent.com/TheLastBen/fast-stable-diffusion/main/AUTOMATIC1111_files/blocks.py', shell=True) localurl="tensorboard-"+os.environ.get('PAPERSPACE_FQDN') for line in fileinput.input('/usr/local/lib/python3.9/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) os.chdir('/notebooks/sd/stable-diffusion-webui/modules') call("sed -i 's@possible_sd_paths =.*@possible_sd_paths = [\"/notebooks/sd/stablediffusion\"]@' /notebooks/sd/stable-diffusion-webui/modules/paths.py", shell=True) call("sed -i 's@\.\.\/@src/@g' /notebooks/sd/stable-diffusion-webui/modules/paths.py", shell=True) call("sed -i 's@src\/generative-models@generative-models@g' /notebooks/sd/stable-diffusion-webui/modules/paths.py", shell=True) call("sed -i 's@-> Network | None@@g' /notebooks/sd/stable-diffusion-webui/extensions-builtin/Lora/network.py", shell=True) call("sed -i 's@from scipy.ndimage.filters@from scipy.ndimage@g' /usr/local/lib/python3.9/dist-packages/basicsr/metrics/niqe.py", shell=True) call("sed -i 's@\"quicksettings\": OptionInfo(.*@\"quicksettings\": OptionInfo(\"sd_model_checkpoint, sd_vae, CLIP_stop_at_last_layers, inpainting_mask_weight, initial_noise_multiplier\", \"Quicksettings list\"),@' /notebooks/sd/stable-diffusion-webui/modules/shared.py", shell=True) os.chdir('/notebooks/sd/stable-diffusion-webui') clear_output() if model=="": mdlpth="" else: if os.path.isfile(model): mdlpth="--ckpt "+model else: mdlpth="--ckpt-dir "+model configf="--disable-console-progressbars --no-gradio-queue --no-half-vae --disable-safe-unpickle --api --no-download-sd-model --xformers --enable-insecure-extension-access --port 6006 --listen --skip-version-check --ckpt-dir /models "+auth+" "+mdlpth return configf def done(): done = widgets.Button( description='Done!', disabled=True, button_style='success', tooltip='', icon='check' ) display(done)