Bump torch to 2.11.0 for ZeroGPU runtime

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.

pyproject.toml

@@ -10,7 +10,7 @@ dependencies = [
     "setuptools>=80.9.0",
     "spaces>=0.48.3",
     "supervision>=0.26.0",
-    "torch==2.5.1",
+    "torch==2.11.0",
     "transformers>=4.54.1",
 ]
 

requirements.txt

@@ -45,6 +45,12 @@ cryptography==47.0.0
     #   authlib
     #   joserfc
     #   pyjwt
+cuda-bindings==13.3.0 ; sys_platform == 'linux'
+    # via torch
+cuda-pathfinder==1.5.5 ; sys_platform == 'linux'
+    # via cuda-bindings
+cuda-toolkit==13.0.2 ; sys_platform == 'linux'
+    # via torch
 cycler==0.12.1
     # via matplotlib
 defusedxml==0.7.1
@@ -56,7 +62,6 @@ filelock==3.18.0
     #   huggingface-hub
     #   torch
     #   transformers
-    #   triton
 fonttools==4.59.0
     # via matplotlib
 fsspec==2025.7.0
@@ -146,39 +151,45 @@ numpy==2.3.1
     #   scipy
     #   supervision
     #   transformers
-nvidia-cublas-cu12==12.4.5.8 ; platform_machine == 'x86_64' and sys_platform == 'linux'
-    # via
-    #   nvidia-cudnn-cu12
-    #   nvidia-cusolver-cu12
-    #   torch
-nvidia-cuda-cupti-cu12==12.4.127 ; platform_machine == 'x86_64' and sys_platform == 'linux'
-    # via torch
-nvidia-cuda-nvrtc-cu12==12.4.127 ; platform_machine == 'x86_64' and sys_platform == 'linux'
-    # via torch
-nvidia-cuda-runtime-cu12==12.4.127 ; platform_machine == 'x86_64' and sys_platform == 'linux'
+nvidia-cublas==13.1.0.3 ; sys_platform == 'linux'
+    # via
+    #   cuda-toolkit
+    #   nvidia-cudnn-cu13
+    #   nvidia-cusolver
+nvidia-cuda-cupti==13.0.85 ; sys_platform == 'linux'
+    # via cuda-toolkit
+nvidia-cuda-nvrtc==13.0.88 ; sys_platform == 'linux'
+    # via cuda-toolkit
+nvidia-cuda-runtime==13.0.96 ; sys_platform == 'linux'
+    # via cuda-toolkit
+nvidia-cudnn-cu13==9.19.0.56 ; sys_platform == 'linux'
     # via torch
-nvidia-cudnn-cu12==9.1.0.70 ; platform_machine == 'x86_64' and sys_platform == 'linux'
+nvidia-cufft==12.0.0.61 ; sys_platform == 'linux'
+    # via cuda-toolkit
+nvidia-cufile==1.15.1.6 ; sys_platform == 'linux'
+    # via cuda-toolkit
+nvidia-curand==10.4.0.35 ; sys_platform == 'linux'
+    # via cuda-toolkit
+nvidia-cusolver==12.0.4.66 ; sys_platform == 'linux'
+    # via cuda-toolkit
+nvidia-cusparse==12.6.3.3 ; sys_platform == 'linux'
+    # via
+    #   cuda-toolkit
+    #   nvidia-cusolver
+nvidia-cusparselt-cu13==0.8.0 ; sys_platform == 'linux'
     # via torch
-nvidia-cufft-cu12==11.2.1.3 ; platform_machine == 'x86_64' and sys_platform == 'linux'
+nvidia-nccl-cu13==2.28.9 ; sys_platform == 'linux'
     # via torch
-nvidia-curand-cu12==10.3.5.147 ; platform_machine == 'x86_64' and sys_platform == 'linux'
-    # via torch
-nvidia-cusolver-cu12==11.6.1.9 ; platform_machine == 'x86_64' and sys_platform == 'linux'
-    # via torch
-nvidia-cusparse-cu12==12.3.1.170 ; platform_machine == 'x86_64' and sys_platform == 'linux'
-    # via
-    #   nvidia-cusolver-cu12
-    #   torch
-nvidia-nccl-cu12==2.21.5 ; platform_machine == 'x86_64' and sys_platform == 'linux'
-    # via torch
-nvidia-nvjitlink-cu12==12.4.127 ; platform_machine == 'x86_64' and sys_platform == 'linux'
+nvidia-nvjitlink==13.0.88 ; sys_platform == 'linux'
     # via
-    #   nvidia-cufft-cu12
-    #   nvidia-cusolver-cu12
-    #   nvidia-cusparse-cu12
-    #   torch
-nvidia-nvtx-cu12==12.4.127 ; platform_machine == 'x86_64' and sys_platform == 'linux'
+    #   cuda-toolkit
+    #   nvidia-cufft
+    #   nvidia-cusolver
+    #   nvidia-cusparse
+nvidia-nvshmem-cu13==3.4.5 ; sys_platform == 'linux'
     # via torch
+nvidia-nvtx==13.0.85 ; sys_platform == 'linux'
+    # via cuda-toolkit
 opencv-python==4.11.0.86
     # via supervision
 orjson==3.11.0
@@ -294,13 +305,13 @@ starlette==0.47.1
     #   mcp
 supervision==0.26.0
     # via vitpose-transformers
-sympy==1.13.1
+sympy==1.14.0
     # via torch
 tokenizers==0.21.2
     # via transformers
 tomlkit==0.13.3
     # via gradio
-torch==2.5.1
+torch==2.11.0
     # via
     #   accelerate
     #   vitpose-transformers
@@ -311,7 +322,7 @@ tqdm==4.67.1
     #   transformers
 transformers==4.54.1
     # via vitpose-transformers
-triton==3.1.0 ; python_full_version < '3.13' and platform_machine == 'x86_64' and sys_platform == 'linux'
+triton==3.6.0 ; sys_platform == 'linux'
     # via torch
 typer==0.16.0
     # via

uv.lock

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 ]
 
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+version = "13.3.0"
+source = { registry = "https://pypi.org/simple" }
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+]
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+]
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+    { name = "nvidia-cuda-cupti", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
+]
+curand = [
+    { name = "nvidia-curand", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
+]
+cusolver = [
+    { name = "nvidia-cusolver", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
+]
+cusparse = [
+    { name = "nvidia-cusparse", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
+]
+nvjitlink = [
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+]
+nvrtc = [
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+]
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+]
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 version = "0.12.1"
@@ -1261,113 +1330,152 @@ wheels = [
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