Spaces:
Paused
Paused
File size: 6,961 Bytes
753523a |
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 |
# This file was autogenerated by uv via the following command: # uv pip compile pyproject.toml -o requirements.txt absl-py==2.1.0 # via mediapipe accelerate==1.1.1 # via controlnet-v1-1 (pyproject.toml) aiofiles==23.2.1 # via gradio annotated-types==0.7.0 # via pydantic anyio==4.6.2.post1 # via # gradio # httpx # starlette attrs==24.2.0 # via mediapipe certifi==2024.8.30 # via # httpcore # httpx # requests cffi==1.17.1 # via sounddevice charset-normalizer==3.4.0 # via requests click==8.1.7 # via # typer # uvicorn contourpy==1.3.1 # via matplotlib controlnet-aux==0.0.9 # via controlnet-v1-1 (pyproject.toml) cycler==0.12.1 # via matplotlib diffusers==0.31.0 # via controlnet-v1-1 (pyproject.toml) einops==0.8.0 # via # controlnet-v1-1 (pyproject.toml) # controlnet-aux exceptiongroup==1.2.2 # via anyio fastapi==0.115.5 # via gradio ffmpy==0.4.0 # via gradio filelock==3.16.1 # via # controlnet-aux # diffusers # huggingface-hub # torch # transformers # triton flatbuffers==24.3.25 # via mediapipe fonttools==4.55.0 # via matplotlib fsspec==2024.10.0 # via # gradio-client # huggingface-hub # torch gradio==5.6.0 # via # controlnet-v1-1 (pyproject.toml) # spaces gradio-client==1.4.3 # via gradio h11==0.14.0 # via # httpcore # uvicorn hf-transfer==0.1.8 # via controlnet-v1-1 (pyproject.toml) httpcore==1.0.7 # via httpx httpx==0.27.2 # via # gradio # gradio-client # safehttpx # spaces huggingface-hub==0.26.2 # via # accelerate # controlnet-aux # diffusers # gradio # gradio-client # tokenizers # transformers idna==3.10 # via # anyio # httpx # requests imageio==2.36.0 # via scikit-image importlib-metadata==8.5.0 # via # controlnet-aux # diffusers jax==0.4.35 # via mediapipe jaxlib==0.4.35 # via # jax # mediapipe jinja2==3.1.4 # via # gradio # torch kiwisolver==1.4.7 # via matplotlib lazy-loader==0.4 # via scikit-image markdown-it-py==3.0.0 # via rich markupsafe==2.1.5 # via # gradio # jinja2 matplotlib==3.9.2 # via mediapipe mdurl==0.1.2 # via markdown-it-py mediapipe==0.10.18 # via controlnet-v1-1 (pyproject.toml) ml-dtypes==0.5.0 # via # jax # jaxlib mpmath==1.3.0 # via sympy networkx==3.4.2 # via # scikit-image # torch numpy==1.26.4 # via # accelerate # contourpy # controlnet-aux # diffusers # gradio # imageio # jax # jaxlib # matplotlib # mediapipe # ml-dtypes # opencv-contrib-python # opencv-python-headless # pandas # scikit-image # scipy # tifffile # torchvision # transformers # xformers nvidia-cublas-cu12==12.1.3.1 # via # nvidia-cudnn-cu12 # nvidia-cusolver-cu12 # torch nvidia-cuda-cupti-cu12==12.1.105 # via torch nvidia-cuda-nvrtc-cu12==12.1.105 # via torch nvidia-cuda-runtime-cu12==12.1.105 # via torch nvidia-cudnn-cu12==9.1.0.70 # via torch nvidia-cufft-cu12==11.0.2.54 # via torch nvidia-curand-cu12==10.3.2.106 # via torch nvidia-cusolver-cu12==11.4.5.107 # via torch nvidia-cusparse-cu12==12.1.0.106 # via # nvidia-cusolver-cu12 # torch nvidia-nccl-cu12==2.20.5 # via torch nvidia-nvjitlink-cu12==12.6.77 # via # nvidia-cusolver-cu12 # nvidia-cusparse-cu12 nvidia-nvtx-cu12==12.1.105 # via torch opencv-contrib-python==4.10.0.84 # via mediapipe opencv-python-headless==4.10.0.84 # via # controlnet-v1-1 (pyproject.toml) # controlnet-aux opt-einsum==3.4.0 # via jax orjson==3.10.11 # via gradio packaging==24.2 # via # accelerate # gradio # gradio-client # huggingface-hub # lazy-loader # matplotlib # scikit-image # spaces # transformers pandas==2.2.3 # via gradio pillow==11.0.0 # via # controlnet-aux # diffusers # gradio # imageio # matplotlib # scikit-image # torchvision protobuf==4.25.5 # via mediapipe psutil==5.9.8 # via # accelerate # spaces pycparser==2.22 # via cffi pydantic==2.9.2 # via # fastapi # gradio # spaces pydantic-core==2.23.4 # via pydantic pydub==0.25.1 # via gradio pygments==2.18.0 # via rich pyparsing==3.2.0 # via matplotlib python-dateutil==2.9.0.post0 # via # matplotlib # pandas python-multipart==0.0.12 # via gradio pytz==2024.2 # via pandas pyyaml==6.0.2 # via # accelerate # gradio # huggingface-hub # transformers regex==2024.11.6 # via # diffusers # transformers requests==2.32.3 # via # diffusers # huggingface-hub # spaces # transformers rich==13.9.4 # via typer ruff==0.7.4 # via gradio safehttpx==0.1.1 # via gradio safetensors==0.4.5 # via # controlnet-v1-1 (pyproject.toml) # accelerate # diffusers # transformers scikit-image==0.24.0 # via controlnet-aux scipy==1.14.1 # via # controlnet-aux # jax # jaxlib # scikit-image semantic-version==2.10.0 # via gradio sentencepiece==0.2.0 # via mediapipe shellingham==1.5.4 # via typer six==1.16.0 # via python-dateutil sniffio==1.3.1 # via # anyio # httpx sounddevice==0.5.1 # via mediapipe spaces==0.30.4 # via controlnet-v1-1 (pyproject.toml) starlette==0.41.3 # via # fastapi # gradio sympy==1.13.3 # via torch tifffile==2024.9.20 # via scikit-image timm==0.6.7 # via controlnet-aux tokenizers==0.20.3 # via transformers tomlkit==0.12.0 # via gradio torch==2.4.0 # via # controlnet-v1-1 (pyproject.toml) # accelerate # controlnet-aux # timm # torchvision # xformers torchvision==0.19.0 # via # controlnet-v1-1 (pyproject.toml) # controlnet-aux # timm tqdm==4.67.0 # via # huggingface-hub # transformers transformers==4.46.3 # via controlnet-v1-1 (pyproject.toml) triton==3.0.0 # via torch typer==0.13.1 # via gradio typing-extensions==4.12.2 # via # anyio # fastapi # gradio # gradio-client # huggingface-hub # pydantic # pydantic-core # rich # spaces # torch # typer # uvicorn tzdata==2024.2 # via pandas urllib3==2.2.3 # via requests uvicorn==0.32.0 # via gradio websockets==12.0 # via gradio-client xformers==0.0.27.post2 # via controlnet-v1-1 (pyproject.toml) zipp==3.21.0 # via importlib-metadata |