PPS / Scripts /mainpaperspaceA1111.py
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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
import re
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['PYTHONWARNINGS'] = 'ignore'
else:
print('Installing the dependencies...')
call('pip install --root-user-action=ignore --disable-pip-version-check --no-deps -qq gdown 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')
call('wget -q https://huggingface.co/TheLastBen/dependencies/resolve/main/rnpddeps-t2.tar.zst', shell=True, stdout=open('/dev/null', 'w'))
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("rm -r deps", shell=True)
os.chdir('/workspace')
os.environ['PYTHONWARNINGS'] = 'ignore'
clear_output()
done()
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://USER:{Huggingface_token_optional}@huggingface.co/datasets/{username}/fast-stable-diffusion/resolve/main/sd_backup_rnpd.tar.zst"
response = requests.head(backup)
if response.status_code == 302:
print('Restoring the SD folder...')
open('/workspace/sd_backup_rnpd.tar.zst', 'wb').write(requests.get(backup).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/stablediffusion'):
call('wget -q -O sd_rep.tar.zst https://huggingface.co/TheLastBen/dependencies/resolve/main/sd_rep.tar.zst', shell=True)
call('tar --zstd -xf sd_rep.tar.zst', shell=True)
call('rm sd_rep.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/stablediffusion'):
call('wget -q -O sd_rep.tar.zst https://huggingface.co/TheLastBen/dependencies/resolve/main/sd_rep.tar.zst', shell=True)
call('tar --zstd -xf sd_rep.tar.zst', shell=True)
call('rm sd_rep.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)
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 mdls(Original_Model_Version, Path_to_MODEL, MODEL_LINK, safetensors):
import gdown
if os.path.exists('/workspace/auto-models/SDv1-5.ckpt'):
call('mv /workspace/auto-models/* /workspace/sd/stable-diffusion-webui/models/Stable-diffusion', shell=True)
call('rm -r /workspace/auto-models', shell=True)
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"
model=f'/workspace/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="/workspace/sd/stable-diffusion-webui/models/Stable-diffusion/SDv1-5.ckpt"
print('Using the original V1.5 model')
elif Original_Model_Version == "v2-512":
if not os.path.exists('/workspace/sd/stable-diffusion-webui/models/Stable-diffusion/SDv2-512.ckpt'):
print('Downlading the V2-512 model...')
model='/workspace/sd/stable-diffusion-webui/models/Stable-diffusion/SDv2-512.ckpt'
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')
else:
print('Using the original V2-512 model')
model='/workspace/sd/stable-diffusion-webui/models/Stable-diffusion/SDv2-512.ckpt'
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')
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 CNet(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('/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_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('/workspace/sd/stable-diffusion-webui/extensions/sd-webui-controlnet/models')
for name in cfgnames:
run(['cp', 'cldm_v21.yaml', name])
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_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 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('wget -q -O paths.py https://raw.githubusercontent.com/TheLastBen/fast-stable-diffusion/main/AUTOMATIC1111_files/paths.py', shell=True)
call("sed -i 's@/content/gdrive/MyDrive/sd/stablediffusion@/workspace/sd/stablediffusion@' /workspace/sd/stable-diffusion-webui/modules/paths.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\"),@' /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}-3000.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 os.path.isfile(model):
mdlpth="--ckpt "+model
else:
mdlpth="--ckpt-dir "+model
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
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 done():
done = widgets.Button(
description='Done!',
disabled=True,
button_style='success',
tooltip='',
icon='check'
)
display(done)