hysts HF Staff commited on
Commit
0b7e8c7
·
1 Parent(s): faa4630

Bump torch to 2.11.0 for ZeroGPU runtime

Browse files

torch was below the ZeroGPU supported minimum, so the Space failed to
start. Bump to 2.11.0 (and pin torchvision==0.26.0 to match where it is
a dependency), then re-lock so the CUDA stack moves to cu13. Minimal
fix: no other dependencies changed.

Files changed (3) hide show
  1. pyproject.toml +2 -2
  2. requirements.txt +44 -31
  3. uv.lock +219 -76
pyproject.toml CHANGED
@@ -10,8 +10,8 @@ dependencies = [
10
  "diffusers>=0.32.1",
11
  "gradio[mcp,oauth]>=6.14.0",
12
  "spaces>=0.48.3",
13
- "torch==2.4.0",
14
- "torchvision>=0.19.0",
15
  "transformers>=4.48.0",
16
  ]
17
 
 
10
  "diffusers>=0.32.1",
11
  "gradio[mcp,oauth]>=6.14.0",
12
  "spaces>=0.48.3",
13
+ "torch==2.11.0",
14
+ "torchvision==0.26.0",
15
  "transformers>=4.48.0",
16
  ]
17
 
requirements.txt CHANGED
@@ -45,6 +45,12 @@ cryptography==47.0.0
45
  # authlib
46
  # joserfc
47
  # pyjwt
 
 
 
 
 
 
48
  diffusers==0.32.1
49
  # via blip-diffusion
50
  einops==0.8.0
@@ -58,7 +64,6 @@ filelock==3.29.0
58
  # huggingface-hub
59
  # torch
60
  # transformers
61
- # triton
62
  fsspec==2024.12.0
63
  # via
64
  # gradio-client
@@ -157,37 +162,45 @@ numpy==1.26.4
157
  # tifffile
158
  # torchvision
159
  # transformers
160
- nvidia-cublas-cu12==12.1.3.1 ; platform_machine == 'x86_64' and sys_platform == 'linux'
161
- # via
162
- # nvidia-cudnn-cu12
163
- # nvidia-cusolver-cu12
164
- # torch
165
- nvidia-cuda-cupti-cu12==12.1.105 ; platform_machine == 'x86_64' and sys_platform == 'linux'
166
- # via torch
167
- nvidia-cuda-nvrtc-cu12==12.1.105 ; platform_machine == 'x86_64' and sys_platform == 'linux'
168
- # via torch
169
- nvidia-cuda-runtime-cu12==12.1.105 ; platform_machine == 'x86_64' and sys_platform == 'linux'
 
 
170
  # via torch
171
- nvidia-cudnn-cu12==9.1.0.70 ; platform_machine == 'x86_64' and sys_platform == 'linux'
 
 
 
 
 
 
 
 
 
 
 
 
172
  # via torch
173
- nvidia-cufft-cu12==11.0.2.54 ; platform_machine == 'x86_64' and sys_platform == 'linux'
174
- # via torch
175
- nvidia-curand-cu12==10.3.2.106 ; platform_machine == 'x86_64' and sys_platform == 'linux'
176
- # via torch
177
- nvidia-cusolver-cu12==11.4.5.107 ; platform_machine == 'x86_64' and sys_platform == 'linux'
178
- # via torch
179
- nvidia-cusparse-cu12==12.1.0.106 ; platform_machine == 'x86_64' and sys_platform == 'linux'
180
- # via
181
- # nvidia-cusolver-cu12
182
- # torch
183
- nvidia-nccl-cu12==2.20.5 ; platform_machine == 'x86_64' and sys_platform == 'linux'
184
  # via torch
185
- nvidia-nvjitlink-cu12==12.6.85 ; platform_machine == 'x86_64' and sys_platform == 'linux'
186
  # via
187
- # nvidia-cusolver-cu12
188
- # nvidia-cusparse-cu12
189
- nvidia-nvtx-cu12==12.1.105 ; platform_machine == 'x86_64' and sys_platform == 'linux'
 
 
190
  # via torch
 
 
191
  opencv-python-headless==4.10.0.84
192
  # via controlnet-aux
193
  orjson==3.10.14
@@ -290,7 +303,7 @@ scipy==1.15.1
290
  # scikit-image
291
  semantic-version==2.10.0
292
  # via gradio
293
- setuptools==82.0.1
294
  # via torch
295
  shellingham==1.5.4
296
  # via typer
@@ -315,14 +328,14 @@ tokenizers==0.21.0
315
  # via transformers
316
  tomlkit==0.13.2
317
  # via gradio
318
- torch==2.4.0
319
  # via
320
  # accelerate
321
  # blip-diffusion
322
  # controlnet-aux
323
  # timm
324
  # torchvision
325
- torchvision==0.19.0
326
  # via
327
  # blip-diffusion
328
  # controlnet-aux
@@ -333,7 +346,7 @@ tqdm==4.67.1
333
  # transformers
334
  transformers==4.48.0
335
  # via blip-diffusion
336
- triton==3.0.0 ; python_full_version < '3.13' and platform_machine == 'x86_64' and sys_platform == 'linux'
337
  # via torch
338
  typer==0.15.1
339
  # via
 
45
  # authlib
46
  # joserfc
47
  # pyjwt
48
+ cuda-bindings==13.3.0 ; sys_platform == 'linux'
49
+ # via torch
50
+ cuda-pathfinder==1.5.5 ; sys_platform == 'linux'
51
+ # via cuda-bindings
52
+ cuda-toolkit==13.0.2 ; sys_platform == 'linux'
53
+ # via torch
54
  diffusers==0.32.1
55
  # via blip-diffusion
56
  einops==0.8.0
 
64
  # huggingface-hub
65
  # torch
66
  # transformers
 
67
  fsspec==2024.12.0
68
  # via
69
  # gradio-client
 
162
  # tifffile
163
  # torchvision
164
  # transformers
165
+ nvidia-cublas==13.1.0.3 ; sys_platform == 'linux'
166
+ # via
167
+ # cuda-toolkit
168
+ # nvidia-cudnn-cu13
169
+ # nvidia-cusolver
170
+ nvidia-cuda-cupti==13.0.85 ; sys_platform == 'linux'
171
+ # via cuda-toolkit
172
+ nvidia-cuda-nvrtc==13.0.88 ; sys_platform == 'linux'
173
+ # via cuda-toolkit
174
+ nvidia-cuda-runtime==13.0.96 ; sys_platform == 'linux'
175
+ # via cuda-toolkit
176
+ nvidia-cudnn-cu13==9.19.0.56 ; sys_platform == 'linux'
177
  # via torch
178
+ nvidia-cufft==12.0.0.61 ; sys_platform == 'linux'
179
+ # via cuda-toolkit
180
+ nvidia-cufile==1.15.1.6 ; sys_platform == 'linux'
181
+ # via cuda-toolkit
182
+ nvidia-curand==10.4.0.35 ; sys_platform == 'linux'
183
+ # via cuda-toolkit
184
+ nvidia-cusolver==12.0.4.66 ; sys_platform == 'linux'
185
+ # via cuda-toolkit
186
+ nvidia-cusparse==12.6.3.3 ; sys_platform == 'linux'
187
+ # via
188
+ # cuda-toolkit
189
+ # nvidia-cusolver
190
+ nvidia-cusparselt-cu13==0.8.0 ; sys_platform == 'linux'
191
  # via torch
192
+ nvidia-nccl-cu13==2.28.9 ; sys_platform == 'linux'
 
 
 
 
 
 
 
 
 
 
193
  # via torch
194
+ nvidia-nvjitlink==13.0.88 ; sys_platform == 'linux'
195
  # via
196
+ # cuda-toolkit
197
+ # nvidia-cufft
198
+ # nvidia-cusolver
199
+ # nvidia-cusparse
200
+ nvidia-nvshmem-cu13==3.4.5 ; sys_platform == 'linux'
201
  # via torch
202
+ nvidia-nvtx==13.0.85 ; sys_platform == 'linux'
203
+ # via cuda-toolkit
204
  opencv-python-headless==4.10.0.84
205
  # via controlnet-aux
206
  orjson==3.10.14
 
303
  # scikit-image
304
  semantic-version==2.10.0
305
  # via gradio
306
+ setuptools==81.0.0
307
  # via torch
308
  shellingham==1.5.4
309
  # via typer
 
328
  # via transformers
329
  tomlkit==0.13.2
330
  # via gradio
331
+ torch==2.11.0
332
  # via
333
  # accelerate
334
  # blip-diffusion
335
  # controlnet-aux
336
  # timm
337
  # torchvision
338
+ torchvision==0.26.0
339
  # via
340
  # blip-diffusion
341
  # controlnet-aux
 
346
  # transformers
347
  transformers==4.48.0
348
  # via blip-diffusion
349
+ triton==3.6.0 ; sys_platform == 'linux'
350
  # via torch
351
  typer==0.15.1
352
  # via
uv.lock CHANGED
@@ -250,8 +250,8 @@ requires-dist = [
250
  { name = "diffusers", specifier = ">=0.32.1" },
251
  { name = "gradio", extras = ["mcp", "oauth"], specifier = ">=6.14.0" },
252
  { name = "spaces", specifier = ">=0.48.3" },
253
- { name = "torch", specifier = "==2.4.0" },
254
- { name = "torchvision", specifier = ">=0.19.0" },
255
  { name = "transformers", specifier = ">=4.48.0" },
256
  ]
257
 
@@ -504,6 +504,75 @@ wheels = [
504
  { url = "https://files.pythonhosted.org/packages/60/80/5681af756d0da3a599b7bdb586fac5a1540f1bcefd2717a20e611ddade45/cryptography-47.0.0-cp38-abi3-win_amd64.whl", hash = "sha256:835d2d7f47cdc53b3224e90810fb1d36ca94ea29cc1801fb4c1bc43876735769", size = 3755737, upload-time = "2026-04-24T19:54:35.408Z" },
505
  ]
506
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
507
  [[package]]
508
  name = "datasets"
509
  version = "4.8.5"
@@ -1224,110 +1293,152 @@ wheels = [
1224
  ]
1225
 
1226
  [[package]]
1227
- name = "nvidia-cublas-cu12"
1228
- version = "12.1.3.1"
 
 
 
 
 
 
 
 
 
1229
  source = { registry = "https://pypi.org/simple" }
1230
  wheels = [
1231
- { url = "https://files.pythonhosted.org/packages/37/6d/121efd7382d5b0284239f4ab1fc1590d86d34ed4a4a2fdb13b30ca8e5740/nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl", hash = "sha256:ee53ccca76a6fc08fb9701aa95b6ceb242cdaab118c3bb152af4e579af792728", size = 410594774, upload-time = "2023-04-19T15:50:03.519Z" },
 
1232
  ]
1233
 
1234
  [[package]]
1235
- name = "nvidia-cuda-cupti-cu12"
1236
- version = "12.1.105"
1237
  source = { registry = "https://pypi.org/simple" }
1238
  wheels = [
1239
- { url = "https://files.pythonhosted.org/packages/7e/00/6b218edd739ecfc60524e585ba8e6b00554dd908de2c9c66c1af3e44e18d/nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:e54fde3983165c624cb79254ae9818a456eb6e87a7fd4d56a2352c24ee542d7e", size = 14109015, upload-time = "2023-04-19T15:47:32.502Z" },
 
1240
  ]
1241
 
1242
  [[package]]
1243
- name = "nvidia-cuda-nvrtc-cu12"
1244
- version = "12.1.105"
1245
  source = { registry = "https://pypi.org/simple" }
1246
  wheels = [
1247
- { url = "https://files.pythonhosted.org/packages/b6/9f/c64c03f49d6fbc56196664d05dba14e3a561038a81a638eeb47f4d4cfd48/nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:339b385f50c309763ca65456ec75e17bbefcbbf2893f462cb8b90584cd27a1c2", size = 23671734, upload-time = "2023-04-19T15:48:32.42Z" },
 
1248
  ]
1249
 
1250
  [[package]]
1251
- name = "nvidia-cuda-runtime-cu12"
1252
- version = "12.1.105"
1253
  source = { registry = "https://pypi.org/simple" }
 
 
 
1254
  wheels = [
1255
- { url = "https://files.pythonhosted.org/packages/eb/d5/c68b1d2cdfcc59e72e8a5949a37ddb22ae6cade80cd4a57a84d4c8b55472/nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:6e258468ddf5796e25f1dc591a31029fa317d97a0a94ed93468fc86301d61e40", size = 823596, upload-time = "2023-04-19T15:47:22.471Z" },
 
1256
  ]
1257
 
1258
  [[package]]
1259
- name = "nvidia-cudnn-cu12"
1260
- version = "9.1.0.70"
1261
  source = { registry = "https://pypi.org/simple" }
1262
  dependencies = [
1263
- { name = "nvidia-cublas-cu12" },
1264
  ]
1265
  wheels = [
1266
- { url = "https://files.pythonhosted.org/packages/9f/fd/713452cd72343f682b1c7b9321e23829f00b842ceaedcda96e742ea0b0b3/nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl", hash = "sha256:165764f44ef8c61fcdfdfdbe769d687e06374059fbb388b6c89ecb0e28793a6f", size = 664752741, upload-time = "2024-04-22T15:24:15.253Z" },
 
1267
  ]
1268
 
1269
  [[package]]
1270
- name = "nvidia-cufft-cu12"
1271
- version = "11.0.2.54"
1272
  source = { registry = "https://pypi.org/simple" }
1273
  wheels = [
1274
- { url = "https://files.pythonhosted.org/packages/86/94/eb540db023ce1d162e7bea9f8f5aa781d57c65aed513c33ee9a5123ead4d/nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl", hash = "sha256:794e3948a1aa71fd817c3775866943936774d1c14e7628c74f6f7417224cdf56", size = 121635161, upload-time = "2023-04-19T15:50:46Z" },
 
1275
  ]
1276
 
1277
  [[package]]
1278
- name = "nvidia-curand-cu12"
1279
- version = "10.3.2.106"
1280
  source = { registry = "https://pypi.org/simple" }
1281
  wheels = [
1282
- { url = "https://files.pythonhosted.org/packages/44/31/4890b1c9abc496303412947fc7dcea3d14861720642b49e8ceed89636705/nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:9d264c5036dde4e64f1de8c50ae753237c12e0b1348738169cd0f8a536c0e1e0", size = 56467784, upload-time = "2023-04-19T15:51:04.804Z" },
 
1283
  ]
1284
 
1285
  [[package]]
1286
- name = "nvidia-cusolver-cu12"
1287
- version = "11.4.5.107"
1288
  source = { registry = "https://pypi.org/simple" }
1289
  dependencies = [
1290
- { name = "nvidia-cublas-cu12" },
1291
- { name = "nvidia-cusparse-cu12" },
1292
- { name = "nvidia-nvjitlink-cu12" },
1293
  ]
1294
  wheels = [
1295
- { url = "https://files.pythonhosted.org/packages/bc/1d/8de1e5c67099015c834315e333911273a8c6aaba78923dd1d1e25fc5f217/nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl", hash = "sha256:8a7ec542f0412294b15072fa7dab71d31334014a69f953004ea7a118206fe0dd", size = 124161928, upload-time = "2023-04-19T15:51:25.781Z" },
 
1296
  ]
1297
 
1298
  [[package]]
1299
- name = "nvidia-cusparse-cu12"
1300
- version = "12.1.0.106"
1301
  source = { registry = "https://pypi.org/simple" }
1302
  dependencies = [
1303
- { name = "nvidia-nvjitlink-cu12" },
1304
  ]
1305
  wheels = [
1306
- { url = "https://files.pythonhosted.org/packages/65/5b/cfaeebf25cd9fdec14338ccb16f6b2c4c7fa9163aefcf057d86b9cc248bb/nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:f3b50f42cf363f86ab21f720998517a659a48131e8d538dc02f8768237bd884c", size = 195958278, upload-time = "2023-04-19T15:51:49.939Z" },
 
1307
  ]
1308
 
1309
  [[package]]
1310
- name = "nvidia-nccl-cu12"
1311
- version = "2.20.5"
1312
  source = { registry = "https://pypi.org/simple" }
1313
  wheels = [
1314
- { url = "https://files.pythonhosted.org/packages/4b/2a/0a131f572aa09f741c30ccd45a8e56316e8be8dfc7bc19bf0ab7cfef7b19/nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl", hash = "sha256:057f6bf9685f75215d0c53bf3ac4a10b3e6578351de307abad9e18a99182af56", size = 176249402, upload-time = "2024-03-06T04:30:20.663Z" },
 
1315
  ]
1316
 
1317
  [[package]]
1318
- name = "nvidia-nvjitlink-cu12"
1319
- version = "12.6.85"
1320
  source = { registry = "https://pypi.org/simple" }
1321
  wheels = [
1322
- { url = "https://files.pythonhosted.org/packages/9d/d7/c5383e47c7e9bf1c99d5bd2a8c935af2b6d705ad831a7ec5c97db4d82f4f/nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:eedc36df9e88b682efe4309aa16b5b4e78c2407eac59e8c10a6a47535164369a", size = 19744971, upload-time = "2024-11-20T17:46:53.366Z" },
 
1323
  ]
1324
 
1325
  [[package]]
1326
- name = "nvidia-nvtx-cu12"
1327
- version = "12.1.105"
1328
  source = { registry = "https://pypi.org/simple" }
1329
  wheels = [
1330
- { url = "https://files.pythonhosted.org/packages/da/d3/8057f0587683ed2fcd4dbfbdfdfa807b9160b809976099d36b8f60d08f03/nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:dc21cf308ca5691e7c04d962e213f8a4aa9bbfa23d95412f452254c2caeb09e5", size = 99138, upload-time = "2023-04-19T15:48:43.556Z" },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1331
  ]
1332
 
1333
  [[package]]
@@ -2127,11 +2238,11 @@ wheels = [
2127
 
2128
  [[package]]
2129
  name = "setuptools"
2130
- version = "82.0.1"
2131
  source = { registry = "https://pypi.org/simple" }
2132
- sdist = { url = "https://files.pythonhosted.org/packages/4f/db/cfac1baf10650ab4d1c111714410d2fbb77ac5a616db26775db562c8fab2/setuptools-82.0.1.tar.gz", hash = "sha256:7d872682c5d01cfde07da7bccc7b65469d3dca203318515ada1de5eda35efbf9", size = 1152316, upload-time = "2026-03-09T12:47:17.221Z" }
2133
  wheels = [
2134
- { url = "https://files.pythonhosted.org/packages/9d/76/f789f7a86709c6b087c5a2f52f911838cad707cc613162401badc665acfe/setuptools-82.0.1-py3-none-any.whl", hash = "sha256:a59e362652f08dcd477c78bb6e7bd9d80a7995bc73ce773050228a348ce2e5bb", size = 1006223, upload-time = "2026-03-09T12:47:15.026Z" },
2135
  ]
2136
 
2137
  [[package]]
@@ -2276,39 +2387,50 @@ wheels = [
2276
 
2277
  [[package]]
2278
  name = "torch"
2279
- version = "2.4.0"
2280
  source = { registry = "https://pypi.org/simple" }
2281
  dependencies = [
 
 
2282
  { name = "filelock" },
2283
  { name = "fsspec" },
2284
  { name = "jinja2" },
2285
  { name = "networkx" },
2286
- { name = "nvidia-cublas-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
2287
- { name = "nvidia-cuda-cupti-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
2288
- { name = "nvidia-cuda-nvrtc-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
2289
- { name = "nvidia-cuda-runtime-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
2290
- { name = "nvidia-cudnn-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
2291
- { name = "nvidia-cufft-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
2292
- { name = "nvidia-curand-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
2293
- { name = "nvidia-cusolver-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
2294
- { name = "nvidia-cusparse-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
2295
- { name = "nvidia-nccl-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
2296
- { name = "nvidia-nvtx-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
2297
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2298
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1364
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1365
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2431
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2496
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2513
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