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import os |
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from IPython.display import clear_output |
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from subprocess import call, getoutput, Popen, run |
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import time |
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import ipywidgets as widgets |
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import requests |
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import sys |
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import fileinput |
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from torch.hub import download_url_to_file |
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from urllib.parse import urlparse, parse_qs, unquote |
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import re |
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import six |
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from urllib.request import urlopen, Request |
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import tempfile |
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from tqdm import tqdm |
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def Deps(force_reinstall): |
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if not force_reinstall and os.path.exists('/usr/local/lib/python3.11/dist-packages/gradio'): |
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ntbk() |
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os.environ['TORCH_HOME'] = '/notebooks/cache/torch' |
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os.environ['PYTHONWARNINGS'] = 'ignore' |
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os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' |
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print('[1;32mModules and notebooks updated, dependencies already installed') |
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else: |
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call("pip install --root-user-action=ignore --no-deps -q accelerate==0.12.0", shell=True, stdout=open('/dev/null', 'w')) |
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call("pip uninstall -qq deepspeed -y", shell=True, stdout=open('/dev/null', 'w')) |
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ntbk() |
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if not os.path.exists('/models'): |
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call('mkdir /models', shell=True) |
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if not os.path.exists('/notebooks/models'): |
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call('ln -s /models /notebooks', shell=True) |
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if os.path.exists('/deps'): |
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call("rm -r /deps", shell=True) |
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call('mkdir /deps', shell=True) |
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if not os.path.exists('cache'): |
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call('mkdir cache', shell=True) |
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os.chdir('/deps') |
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call('wget -q -i https://raw.githubusercontent.com/TheLastBen/fast-stable-diffusion/main/Dependencies/aptdeps_311.txt', shell=True) |
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call('dpkg -i *.deb', shell=True, stdout=open('/dev/null', 'w')) |
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depsinst("https://huggingface.co/TheLastBen/dependencies/resolve/main/ppsdeps_311.tar.zst", "/deps/ppsdeps_311.tar.zst") |
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call('tar -C / --zstd -xf ppsdeps_311.tar.zst', shell=True, stdout=open('/dev/null', 'w')) |
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os.chdir('/notebooks') |
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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')) |
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os.environ['TORCH_HOME'] = '/notebooks/cache/torch' |
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os.environ['PYTHONWARNINGS'] = 'ignore' |
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os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' |
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call("sed -i 's@text = _formatwarnmsg(msg)@text =\"\"@g' /usr/lib/python3.11/warnings.py", shell=True) |
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if not os.path.exists('/notebooks/diffusers'): |
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call('ln -s /diffusers /notebooks', shell=True) |
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call("rm -r /deps", shell=True) |
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os.chdir('/notebooks') |
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clear_output() |
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done() |
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def depsinst(url, dst): |
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file_size = None |
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req = Request(url, headers={"User-Agent": "torch.hub"}) |
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u = urlopen(req) |
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meta = u.info() |
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if hasattr(meta, 'getheaders'): |
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content_length = meta.getheaders("Content-Length") |
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else: |
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content_length = meta.get_all("Content-Length") |
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if content_length is not None and len(content_length) > 0: |
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file_size = int(content_length[0]) |
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with tqdm(total=file_size, disable=False, mininterval=0.5, |
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bar_format='Installing dependencies |{bar:20}| {percentage:3.0f}%') as pbar: |
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with open(dst, "wb") as f: |
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while True: |
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buffer = u.read(8192) |
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if len(buffer) == 0: |
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break |
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f.write(buffer) |
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pbar.update(len(buffer)) |
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f.close() |
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def dwn(url, dst, msg): |
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file_size = None |
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req = Request(url, headers={"User-Agent": "torch.hub"}) |
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u = urlopen(req) |
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meta = u.info() |
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if hasattr(meta, 'getheaders'): |
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content_length = meta.getheaders("Content-Length") |
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else: |
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content_length = meta.get_all("Content-Length") |
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if content_length is not None and len(content_length) > 0: |
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file_size = int(content_length[0]) |
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with tqdm(total=file_size, disable=False, mininterval=0.5, |
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bar_format=msg+' |{bar:20}| {percentage:3.0f}%') as pbar: |
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with open(dst, "wb") as f: |
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while True: |
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buffer = u.read(8192) |
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if len(buffer) == 0: |
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break |
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f.write(buffer) |
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pbar.update(len(buffer)) |
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f.close() |
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def ntbk(): |
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os.chdir('/notebooks') |
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if not os.path.exists('Latest_Notebooks'): |
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call('mkdir Latest_Notebooks', shell=True) |
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else: |
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call('rm -r Latest_Notebooks', shell=True) |
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call('mkdir Latest_Notebooks', shell=True) |
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os.chdir('/notebooks/Latest_Notebooks') |
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call('wget -q -i https://huggingface.co/datasets/TheLastBen/PPS/raw/main/Notebooks.txt', shell=True) |
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call('rm Notebooks.txt', shell=True) |
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os.chdir('/notebooks') |
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def repo(): |
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os.chdir('/notebooks') |
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print('[1;33mInstalling/Updating the repo...') |
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os.chdir('/notebooks') |
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if not os.path.exists('ComfyUI'): |
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call('git clone -q --depth 1 https://github.com/comfyanonymous/ComfyUI', shell=True) |
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os.chdir('ComfyUI') |
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call('git reset --hard', shell=True) |
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print('[1;32m') |
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call('git pull', shell=True) |
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os.chdir('/notebooks') |
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clear_output() |
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done() |
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def mdls(Original_Model_Version, Path_to_MODEL, MODEL_LINK, Temporary_Storage=False): |
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import gdown |
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src=getsrc(MODEL_LINK) |
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call('ln -s /datasets/stable-diffusion-classic/SDv1.5.ckpt /notebooks/ComfyUI/models/checkpoints', shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w')) |
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call('ln -s /datasets/stable-diffusion-v2-1-base-diffusers/stable-diffusion-2-1-base/v2-1_512-nonema-pruned.safetensors /notebooks/ComfyUI/models/checkpoints', shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w')) |
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call('ln -s /datasets/stable-diffusion-v2-1/stable-diffusion-2-1/v2-1_768-nonema-pruned.safetensors /notebooks/ComfyUI/models/checkpoints', shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w')) |
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call('ln -s /datasets/stable-diffusion-xl/sd_xl_base_1.0.safetensors /notebooks/ComfyUI/models/checkpoints', shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w')) |
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if Path_to_MODEL !='': |
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if os.path.exists(str(Path_to_MODEL)): |
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print('[1;32mUsing the custom model.') |
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model=Path_to_MODEL |
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else: |
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print('[1;31mWrong path, check that the path to the model is correct') |
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elif MODEL_LINK !="": |
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if src=='civitai': |
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modelname=get_name(MODEL_LINK, False) |
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if Temporary_Storage: |
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model=f'/models/{modelname}' |
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else: |
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model=f'/notebooks/ComfyUI/models/checkpoints/{modelname}' |
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if not os.path.exists(model): |
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dwn(MODEL_LINK, model, 'Downloading the custom model') |
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clear_output() |
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else: |
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print('[1;33mModel already exists') |
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elif src=='gdrive': |
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modelname=get_name(MODEL_LINK, True) |
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if Temporary_Storage: |
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model=f'/models/{modelname}' |
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else: |
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model=f'/notebooks/ComfyUI/models/checkpoints/{modelname}' |
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if not os.path.exists(model): |
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gdown.download(url=MODEL_LINK, output=model, quiet=False, fuzzy=True) |
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clear_output() |
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else: |
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print('[1;33mModel already exists') |
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else: |
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modelname=os.path.basename(MODEL_LINK) |
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if Temporary_Storage: |
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model=f'/models/{modelname}' |
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else: |
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model=f'/notebooks/ComfyUI/models/checkpoints/{modelname}' |
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if not os.path.exists(model): |
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gdown.download(url=MODEL_LINK, output=model, quiet=False, fuzzy=True) |
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clear_output() |
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else: |
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print('[1;33mModel already exists') |
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if os.path.exists(model) and os.path.getsize(model) > 1810671599: |
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print('[1;32mModel downloaded, using the custom model.') |
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else: |
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call('rm '+model, shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w')) |
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print('[1;31mWrong link, check that the link is valid') |
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else: |
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if Original_Model_Version == "v1.5": |
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model="/notebooks/ComfyUI/models/checkpoints/SDv1.5.ckpt" |
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print('[1;32mUsing the original V1.5 model') |
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elif Original_Model_Version == "v2-512": |
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model="/notebooks/ComfyUI/models/checkpoints/v2-1_512-nonema-pruned.safetensors" |
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print('[1;32mUsing the original V2-512 model') |
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elif Original_Model_Version == "v2-768": |
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model="/notebooks/ComfyUI/models/checkpoints/v2-1_768-nonema-pruned.safetensors" |
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print('[1;32mUsing the original V2-768 model') |
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elif Original_Model_Version == "SDXL": |
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model="/notebooks/ComfyUI/models/checkpoints/sd_xl_base_1.0.safetensors" |
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print('[1;32mUsing the original SDXL model') |
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else: |
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model="/notebooks/ComfyUI/models/checkpoints" |
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print('[1;31mWrong model version, try again') |
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try: |
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model |
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except: |
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model="/notebooks/ComfyUI/models/checkpoints" |
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return model |
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def loradwn(LoRA_LINK): |
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import gdown |
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if LoRA_LINK=='': |
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print('[1;33mNothing to do') |
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else: |
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src=getsrc(LoRA_LINK) |
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if src=='civitai': |
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modelname=get_name(LoRA_LINK, False) |
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loramodel=f'/notebooks/ComfyUI/models/loras/{modelname}' |
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if not os.path.exists(loramodel): |
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dwn(LoRA_LINK, loramodel, 'Downloading the LoRA model') |
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clear_output() |
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else: |
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print('[1;33mModel already exists') |
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elif src=='gdrive': |
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modelname=get_name(LoRA_LINK, True) |
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loramodel=f'/notebooks/ComfyUI/models/loras/{modelname}' |
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if not os.path.exists(loramodel): |
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gdown.download(url=LoRA_LINK, output=loramodel, quiet=False, fuzzy=True) |
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clear_output() |
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else: |
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print('[1;33mModel already exists') |
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else: |
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modelname=os.path.basename(LoRA_LINK) |
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loramodel=f'/notebooks/ComfyUI/models/loras/{modelname}' |
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if not os.path.exists(loramodel): |
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gdown.download(url=LoRA_LINK, output=loramodel, quiet=False, fuzzy=True) |
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clear_output() |
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else: |
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print('[1;33mModel already exists') |
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if os.path.exists(loramodel) : |
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print('[1;32mLoRA downloaded') |
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else: |
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print('[1;31mWrong link, check that the link is valid') |
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def CNet(ControlNet_Model, ControlNet_XL_Model): |
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def download(url, model_dir): |
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filename = os.path.basename(urlparse(url).path) |
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pth = os.path.abspath(os.path.join(model_dir, filename)) |
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if not os.path.exists(pth): |
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print('Downloading: '+os.path.basename(url)) |
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download_url_to_file(url, pth, hash_prefix=None, progress=True) |
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else: |
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print(f"[1;32mThe model {filename} already exists[0m") |
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wrngv1=False |
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mdldir="/notebooks/ComfyUI/models/controlnet" |
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for filename in os.listdir(mdldir): |
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if "_sd14v1" in filename: |
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renamed = re.sub("_sd14v1", "-fp16", filename) |
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os.rename(os.path.join(mdldir, filename), os.path.join(mdldir, renamed)) |
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call('wget -q -O CN_models.txt https://github.com/TheLastBen/fast-stable-diffusion/raw/main/AUTOMATIC1111_files/CN_models.txt', shell=True) |
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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) |
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with open("CN_models.txt", 'r') as f: |
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mdllnk = f.read().splitlines() |
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with open("CN_models_XL.txt", 'r') as d: |
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mdllnk_XL = d.read().splitlines() |
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call('rm CN_models.txt CN_models_XL.txt', shell=True) |
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os.chdir('/notebooks') |
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if ControlNet_Model == "All" or ControlNet_Model == "all" : |
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for lnk in mdllnk: |
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download(lnk, mdldir) |
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clear_output() |
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|
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elif ControlNet_Model == "15": |
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mdllnk=list(filter(lambda x: 't2i' in x, mdllnk)) |
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for lnk in mdllnk: |
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download(lnk, mdldir) |
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clear_output() |
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elif ControlNet_Model.isdigit() and int(ControlNet_Model)-1<14 and int(ControlNet_Model)>0: |
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download(mdllnk[int(ControlNet_Model)-1], mdldir) |
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clear_output() |
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elif ControlNet_Model == "none": |
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pass |
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clear_output() |
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else: |
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print('[1;31mWrong ControlNet V1 choice, try again') |
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wrngv1=True |
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if ControlNet_XL_Model == "All" or ControlNet_XL_Model == "all" : |
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for lnk_XL in mdllnk_XL: |
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download(lnk_XL, mdldir) |
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if not wrngv1: |
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clear_output() |
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done() |
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elif ControlNet_XL_Model.isdigit() and int(ControlNet_XL_Model)-1<5: |
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download(mdllnk_XL[int(ControlNet_XL_Model)-1], mdldir) |
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if not wrngv1: |
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clear_output() |
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done() |
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elif ControlNet_XL_Model == "none": |
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pass |
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if not wrngv1: |
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clear_output() |
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done() |
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else: |
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print('[1;31mWrong ControlNet V2 choice, try again') |
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def sd(): |
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localurl="https://tensorboard-"+os.environ.get('PAPERSPACE_FQDN') |
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call("sed -i 's@logging.info(\"To see the GUI go to: {}://{}:{}\".format(scheme, address, port))@print(\"[32m\u2714 Connected\")\\n print(\"[1;34m"+localurl+"[0m\")@' /notebooks/ComfyUI/server.py", shell=True) |
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os.chdir('/notebooks') |
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def getsrc(url): |
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parsed_url = urlparse(url) |
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if parsed_url.netloc == 'civitai.com': |
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src='civitai' |
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elif parsed_url.netloc == 'drive.google.com': |
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src='gdrive' |
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elif parsed_url.netloc == 'huggingface.co': |
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src='huggingface' |
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else: |
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src='others' |
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return src |
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def get_name(url, gdrive): |
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from gdown.download import get_url_from_gdrive_confirmation |
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if not gdrive: |
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response = requests.get(url, allow_redirects=False) |
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if "Location" in response.headers: |
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redirected_url = response.headers["Location"] |
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quer = parse_qs(urlparse(redirected_url).query) |
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if "response-content-disposition" in quer: |
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disp_val = quer["response-content-disposition"][0].split(";") |
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for vals in disp_val: |
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if vals.strip().startswith("filename="): |
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filenm=unquote(vals.split("=", 1)[1].strip()) |
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return filenm.replace("\"","") |
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else: |
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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"} |
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lnk="https://drive.google.com/uc?id={id}&export=download".format(id=url[url.find("/d/")+3:url.find("/view")]) |
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res = requests.session().get(lnk, headers=headers, stream=True, verify=True) |
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res = requests.session().get(get_url_from_gdrive_confirmation(res.text), headers=headers, stream=True, verify=True) |
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content_disposition = six.moves.urllib_parse.unquote(res.headers["Content-Disposition"]) |
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filenm = re.search(r"filename\*=UTF-8''(.*)", content_disposition).groups()[0].replace(os.path.sep, "_") |
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return filenm |
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def done(): |
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done = widgets.Button( |
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description='Done!', |
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disabled=True, |
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button_style='success', |
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tooltip='', |
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icon='check' |
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) |
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display(done) |