Spaces:
Build error
Build error
File size: 14,913 Bytes
553b1cb |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 |
from IPython.utils import capture
from IPython.display import clear_output
from subprocess import getoutput
import ipywidgets as widgets
import sys
import fileinput
import os
import time
if not os.path.exists("./"):
print('[1;31mGdrive not connected, using colab storage ...')
time.sleep(4)
# !mkdir -p ./
with capture.capture_output() as cap:
def inf(msg, style, wdth): inf = widgets.Button(description=msg, disabled=True, button_style=style, layout=widgets.Layout(min_width=wdth));display(inf)
fgitclone = "git clone --depth 1"
# %mkdir -p ./sd
# %cd ./sd
# !$fgitclone -q --branch master https://github.com/AUTOMATIC1111/stable-diffusion-webui
# !mkdir -p ./cache/huggingface
# !ln -s ./cache/huggingface /root/.cache/
with capture.capture_output() as cap:
%cd ./
# !git reset --hard
time.sleep(1)
# !rm webui.sh
print('[1;32m')
# !git pull
clear_output()
inf('\u2714 Done','success', '50px')
print('[1;32mInstalling requirements...')
with capture.capture_output() as cap:
%cd /content/
!wget -q -i https://raw.githubusercontent.com/TheLastBen/fast-stable-diffusion/main/Dependencies/A1111.txt
!dpkg -i *.deb
if not os.path.exists('./stablediffusion'):
!tar -C / --zstd -xf sd.tar.zst
!tar -C / --zstd -xf A1111_dep.tar.zst
!rm *.deb | rm *.zst | rm *.txt
%env LD_PRELOAD=libtcmalloc.so
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
clear_output()
inf('\u2714 Done','success', '50px')
Model_Version = "1.5" #@param [ "1.5", "v1.5 Inpainting ", "V2.1-512px", "V2.1-768px"]
Redownload_the_original_model = False #@param {type:"boolean"}
def rmv():
!wget -q -O ./models/Stable-diffusion/model.ckpt https://raw.githubusercontent.com/TheLastBen/fast-stable-diffusion/main/precompiled/README.md
!mv ./models/Stable-diffusion/model.ckpt ./models/Stable-diffusion/trashfile.f
time.sleep(2)
!rm ./models/Stable-diffusion/trashfile.f
clear_output()
if Redownload_the_original_model:
with capture.capture_output() as cap:
rmv()
#@markdown Or
Path_to_MODEL = "" #@param {type:"string"}
#@markdown - Insert the full path of your trained model or to a folder containing multiple models.
#@markdown Or
MODEL_LINK = "" #@param {type:"string"}
safetensors = False #@param {type:"boolean"}
Use_temp_storage = False #@param {type:"boolean"}
def newmdl():
if not os.path.exists('./models/Stable-diffusion/model.ckpt'):
%mkdir ./content/
%cd ./content/
clear_output()
!git init
!git lfs install --system --skip-repo
!$fgitclone --branch fp16 "https://huggingface.co./runwayml/stable-diffusion-v1-5"
if os.path.exists('./content/stable-diffusion-v1-5/unet/diffusion_pytorch_model.bin'):
!wget -q -O stable-diffusion-v1-5/vae/diffusion_pytorch_model.bin https://huggingface.co./stabilityai/sd-vae-ft-mse/resolve/main/diffusion_pytorch_model.bin
!wget -O convertosd.py https://github.com/TheLastBen/fast-stable-diffusion/raw/main/Dreambooth/convertosd.py
!sed -i '201s@.*@ model_path = "./content/stable-diffusion-v1-5"@' ./content/convertosd.py
!sed -i '202s@.*@ checkpoint_path= "./models/Stable-diffusion/model.ckpt"@' ./content/convertosd.py
clear_output()
!python ./content/convertosd.py
!rm ./content/convertosd.py
if os.path.exists('./models/Stable-diffusion/model.ckpt'):
model='./models/Stable-diffusion/model.ckpt'
clear_output()
inf('\u2714 Done','success', '50px')
else:
inf('\u2718 Something went wrong, try again','danger', "250px")
else:
inf('\u2718 Something went wrong','danger', "200px")
else:
model='./models/Stable-diffusion/model.ckpt'
clear_output()
inf('\u2714 Model already exists, check the box "Redownload_the_original_model" to redownload/download the V1.5','primary', '700px')
if os.path.exists('./content/.git'):
!rm -r ./content/.git
if os.path.exists('./content/stable-diffusion-v1-5'):
!rm -r ./content/stable-diffusion-v1-5
return model
def V2():
if not os.path.exists('./models/Stable-diffusion/model.ckpt'):
%cd ./content/
clear_output()
!mkdir "./content/stable-diffusion-V2"
%cd "./content/stable-diffusion-V2"
!git init
!git lfs install --system --skip-repo
if Model_Version == "V2.1-768px":
!git remote add -f origin "https://huggingface.co./stabilityai/stable-diffusion-2-1"
elif Model_Version == "V2.1-512px":
!git remote add -f origin "https://huggingface.co./stabilityai/stable-diffusion-2-1-base"
!git config core.sparsecheckout true
!echo -e "scheduler\ntext_encoder\ntokenizer\nunet\nvae\nfeature_extractor\nmodel_index.json\n!*.safetensors" > .git/info/sparse-checkout
!git pull origin fp16
%cd ./content
!wget -O convertosdv2.py https://github.com/TheLastBen/fast-stable-diffusion/raw/main/Dreambooth/convertosdv2.py
clear_output()
!python ./content/convertosdv2.py --fp16 ./content/stable-diffusion-V2 ./models/Stable-diffusion/model.ckpt
!rm ./content/convertosdv2.py
if os.path.exists('./models/Stable-diffusion/model.ckpt'):
model='./models/Stable-diffusion/model.ckpt'
clear_output()
inf('\u2714 Done','success', '50px')
else:
inf('\u2718 Something went wrong, try again','danger', "250px")
else:
model='./models/Stable-diffusion/model.ckpt'
clear_output()
inf('\u2714 Model already exists, check the box "Redownload_the_original_model" to redownload/download the V2','primary', '700px')
if os.path.exists('./content/.git'):
!rm -r ./content/.git
!rm -r ./content/convertosdv2.py
if os.path.exists('./content/stable-diffusion-V2'):
!rm -r ./content/stable-diffusion-V2
return model
def inpmdl():
if not os.path.exists('./models/Stable-diffusion/sd-v1-5-inpainting.ckpt'):
%cd ./content/
clear_output()
!git init
!git lfs install --system --skip-repo
!$fgitclone --branch fp16 "https://huggingface.co./runwayml/stable-diffusion-inpainting"
if os.path.exists('./content/stable-diffusion-inpainting'):
!$fgitclone "https://huggingface.co./stabilityai/sd-vae-ft-mse"
!rm -r ./content/stable-diffusion-inpainting/vae
!mv ./content/sd-vae-ft-mse ./content/stable-diffusion-inpainting/vae
!wget -O convertosd.py https://github.com/TheLastBen/fast-stable-diffusion/raw/main/Dreambooth/convertosd.py
!sed -i '201s@.*@ model_path = "./content/stable-diffusion-inpainting"@' ./content/convertosd.py
!sed -i '202s@.*@ checkpoint_path= "./models/Stable-diffusion/sd-v1-5-inpainting.ckpt"@' ./content/convertosd.py
clear_output()
!python ./content/convertosd.py
!rm ./content/convertosd.py
if os.path.exists('./models/Stable-diffusion/sd-v1-5-inpainting.ckpt'):
model='./models/Stable-diffusion/sd-v1-5-inpainting.ckpt'
clear_output()
inf('\u2714 Done','success', '50px')
else:
inf('\u2718 Something went wrong, try again','danger', "250px")
else:
inf('\u2718 Something went wrong','danger', "200px")
else:
model='./models/Stable-diffusion/sd-v1-5-inpainting.ckpt'
clear_output()
inf('\u2714 inpainting model already exists','primary', '250px')
if os.path.exists('./content/.git'):
!rm -r ./content/.git
if os.path.exists('./content/stable-diffusion-inpainting'):
!rm -r ./content/stable-diffusion-inpainting
return model
if (Path_to_MODEL !=''):
if os.path.exists(str(Path_to_MODEL)):
inf('\u2714 Using the trained model.','success', '200px')
else:
while not os.path.exists(str(Path_to_MODEL)):
inf('\u2718 Wrong path, use the colab file explorer to copy the path : ','danger', "400px")
Path_to_MODEL=input()
if os.path.exists(str(Path_to_MODEL)):
inf('\u2714 Using the trained model.','success', '200px')
model=Path_to_MODEL
elif MODEL_LINK != "":
gdrv="./models/Stable-diffusion"
tmp="./content"
pth=tmp if Use_temp_storage else gdrv
%cd $pth
clear_output()
if not safetensors:
modelname="model.ckpt"
else:
modelname="model.safetensors"
!gdown --fuzzy -O $modelname $MODEL_LINK
if os.path.exists(f'{pth}/{modelname}') and os.path.getsize(f'{pth}/{modelname}') > 1810671599:
model=f'{pth}/{modelname}'
clear_output()
inf('\u2714 Model downloaded, using the trained model.','success', '350px')
else:
if Use_temp_storage:
!rm $pth/$modelname
else:
rmv()
inf('\u2718 Wrong link, check that the link is valid','danger', "300px")
elif Model_Version=="1.5":
model=newmdl()
elif Model_Version=="V2.1-512px" or Model_Version=="V2.1-768px":
model=V2()
else:
model=inpmdl()
#@markdown # ControlNet
from torch.hub import download_url_to_file
from urllib.parse import urlparse
Model = "All (5.8GB)" #@param [ "All (5.8GB)", "Canny", "Depth", "HED", "MLSD", "Normal", "OpenPose", "Scribble", "Seg", "T2iadapter_Keypose", "T2iadapter_Seg", "T2iadapter_Sketch", "T2iadapter_Depth"]
#@markdown - Download/update ControlNet extension and its models.
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"[1;32mThe model {filename} already exists[0m")
Canny='https://huggingface.co./webui/ControlNet-modules-safetensors/resolve/main/control_canny-fp16.safetensors'
Depth='https://huggingface.co./webui/ControlNet-modules-safetensors/resolve/main/control_depth-fp16.safetensors'
HED='https://huggingface.co./webui/ControlNet-modules-safetensors/resolve/main/control_hed-fp16.safetensors'
MLSD='https://huggingface.co./webui/ControlNet-modules-safetensors/resolve/main/control_mlsd-fp16.safetensors'
Normal='https://huggingface.co./webui/ControlNet-modules-safetensors/resolve/main/control_normal-fp16.safetensors'
OpenPose='https://huggingface.co./webui/ControlNet-modules-safetensors/resolve/main/control_openpose-fp16.safetensors'
Scribble='https://huggingface.co./webui/ControlNet-modules-safetensors/resolve/main/control_scribble-fp16.safetensors'
Seg='https://huggingface.co./webui/ControlNet-modules-safetensors/resolve/main/control_seg-fp16.safetensors'
T2iadapter_Keypose='https://huggingface.co./webui/ControlNet-modules-safetensors/resolve/main/t2iadapter_keypose-fp16.safetensors'
T2iadapter_Seg='https://huggingface.co./webui/ControlNet-modules-safetensors/resolve/main/t2iadapter_seg-fp16.safetensors'
T2iadapter_Sketch='https://huggingface.co./webui/ControlNet-modules-safetensors/resolve/main/t2iadapter_sketch-fp16.safetensors'
T2iadapter_Depth='https://huggingface.co./webui/ControlNet-modules-safetensors/resolve/main/t2iadapter_depth-fp16.safetensors'
with capture.capture_output() as cap:
%cd ./extensions
if not os.path.exists("sd-webui-controlnet"):
!git clone https://github.com/Mikubill/sd-webui-controlnet.git
%cd ./content
else:
%cd sd-webui-controlnet
!git pull
%cd ./content
!cp ./extensions/sd-webui-controlnet/models/*.yaml ./models
mdldir="./extensions/sd-webui-controlnet/models"
if Model == "All (5.8GB)":
!wget -q -O CN_models.txt https://github.com/TheLastBen/fast-stable-diffusion/raw/main/AUTOMATIC1111_files/CN_models.txt
with open("CN_models.txt", 'r') as f:
mdllnk = f.read().splitlines()
for lnk in mdllnk:
download(url=lnk, model_dir=mdldir)
!rm CN_models.txt
clear_output()
inf('\u2714 Done','success', '50px')
else:
download(globals()[Model], model_dir=mdldir)
clear_output()
inf('\u2714 Done','success', '50px')
#@markdown # Start Stable-Diffusion
from IPython.utils import capture
import time
import sys
import fileinput
Use_localtunnel = False #@param {type:"boolean"}
User = "" #@param {type:"string"}
Password= "" #@param {type:"string"}
#@markdown - Add credentials to your Gradio interface (optional).
auth=f"--gradio-auth {User}:{Password}"
if User =="" or Password=="":
auth=""
with capture.capture_output() as cap:
if not os.path.exists('/tools/node/bin/lt'):
!npm install -g localtunnel
with capture.capture_output() as cap:
%cd ./modules/
# !wget -O paths.py https://raw.githubusercontent.com/TheLastBen/fast-stable-diffusion/main/AUTOMATIC1111_files/paths.py
# !wget -O extras.py https://raw.githubusercontent.com/AUTOMATIC1111/stable-diffusion-webui/master/modules/extras.py
# !wget -O sd_models.py https://raw.githubusercontent.com/AUTOMATIC1111/stable-diffusion-webui/master/modules/sd_models.py
# !wget -q -O /usr/local/lib/python3.8/dist-packages/gradio/blocks.py https://raw.githubusercontent.com/TheLastBen/fast-stable-diffusion/main/AUTOMATIC1111_files/blocks.py
%cd ./
# !sed -i "[email protected](checkpoint_file)@os.path.splitext(checkpoint_file); map_location='cuda'@" ./modules/sd_models.py
# !sed -i '[email protected]_ui().*@ui.create_ui();shared.demo.queue(concurrency_count=999999,status_update_rate=0.1)@' ./webui.py
# !sed -i "s@map_location='cpu'@map_location='cuda'@" ./modules/extras.py
share=''
if not Use_localtunnel:
share='--share'
else:
with capture.capture_output() as cap:
share=''
%cd ./content
!nohup lt --port 7860 > srv.txt 2>&1 &
time.sleep(2)
!grep -o 'https[^ ]*' ./content/srv.txt >srvr.txt
time.sleep(2)
srv= getoutput('cat ./content/srvr.txt')
for line in fileinput.input('/usr/local/lib/python3.8/dist-packages/gradio/blocks.py', inplace=True):
if line.strip().startswith('self.server_name ='):
line = f' self.server_name = "{srv[8:]}"\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)
!rm ./content/srv.txt ./content/srvr.txt
%cd .
try:
model
if os.path.isfile(model):
!python ./webui.py $share --api --disable-safe-unpickle --enable-insecure-extension-access --no-download-sd-model --no-half-vae --ckpt "$model" --xformers $auth --disable-console-progressbars
else:
!python ./webui.py $share --api --disable-safe-unpickle --enable-insecure-extension-access --no-download-sd-model --no-half-vae --ckpt-dir "$model" --xformers $auth --disable-console-progressbars
except:
!python ./webui.py $share --api --disable-safe-unpickle --enable-insecure-extension-access --no-download-sd-model --no-half-vae --xformers $auth --disable-console-progressbars |