Move torch stack to 2.11.0 to resolve xformers conflict

xformers 0.0.33 hard-pins torch==2.9.0 (ZeroGPU-unsupported), which
conflicted with torchvision 0.24.1 (torch==2.9.1) and broke pip
resolution. xformers 0.0.35 relaxed to torch>=2.10, so move the whole
trio to the agreeing, ZeroGPU-supported line:
torch 2.11.0, torchvision 0.26.0, xformers 0.0.35
Update the startup cu130 reinstall to the same versions.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

app.py

@@ -52,7 +52,7 @@ def _ensure_cu130_torch():
         _sys.executable, "-m", "pip", "install",
         "--no-cache-dir", "--force-reinstall", "--no-deps",
         "--index-url", "https://download.pytorch.org/whl/cu130",
-        "torch==2.9.1+cu130", "torchvision==0.24.1+cu130", "xformers==0.0.33",
+        "torch==2.11.0+cu130", "torchvision==0.26.0+cu130", "xformers==0.0.35",
     ])
     print("[CU130-CHECK] cu130 stack installed")
 

requirements.txt

@@ -1,9 +1,11 @@
-# torch must be 2.9.1 (ZeroGPU-supported, bare version for the config validator).
+# torch 2.11.0 is ZeroGPU-supported (bare version for the config validator) and is
+# the version line where torchvision 0.26.0 and xformers 0.0.35 agree (xformers
+# 0.0.33 hard-pinned torch==2.9.0, which ZeroGPU rejects; 0.0.35 relaxed to >=2.10).
 # The CUDA build matters: the ZeroGPU container ships CUDA 13.0, so torch must be
-# cu130 for diff-gaussian-rasterization to compile. Build-time pip kept resolving
-# the cu128 wheel here, so the cu130 reinstall is forced at startup in app.py.
-torch==2.9.1
-torchvision==0.24.1
+# cu130 for diff-gaussian-rasterization to compile. Build-time pip resolves the
+# cu128 wheel here, so the cu130 reinstall is forced at startup in app.py.
+torch==2.11.0
+torchvision==0.26.0
 numpy==1.26.4
 pillow==10.4.0
 diffusers[torch]==0.30.3
@@ -23,7 +25,7 @@ videoio==0.3.0
 gradio==5.49.1
 matplotlib==3.7.5
 onnxruntime>=1.15.0
-xformers==0.0.33
+xformers==0.0.35
 scikit-image==0.21.0
 jaxtyping==0.2.19
 pytorch-msssim==1.0.0