self-contained torch wheel

Bundles the known-working ROCm torch, triton-rocm, and torchvision wheels
locally so install no longer depends on the PyTorch nightly index being
available. Also fixes model name mismatches between docs and code, and
adds missing dependencies.

What:

  • wheels/ — bundled torch 2.11.0+rocm7.2, triton-rocm 3.6.0, and
    torchvision 0.26.0+rocm7.2 (wheels/ is in .gitignore; they are
    downloaded once and reused)
  • README install section — replaced 'pip install torch --index-url ...'
    with 'pip install wheels/*.whl' for all three ROCm wheels; added
    download instructions for the initial fetch
  • README Current State — marked self-contained torch wheel as done,
    removed from Future Improvements
  • Fixed model name defaults across README examples and session.py
    docstring — they used shortened filenames (novaAnimeXL.safetensors,
    qwen_image_edit.safetensors) that don't match the actual symlinks
    created by the Models section
  • pyproject.toml — added torchvision and realesrgan (previously
    undeclared; upscale.py imported torchvision.transforms at module
    level without the dependency being declared)

Why:

The ROCm nightly index is volatile — versions rotate frequently and the
index itself may not be reachable. Bundling the three ROCm-only wheels
(torch, triton-rocm, torchvision) makes the install reproducible. All
other dependencies resolve from standard PyPI.

Verified by creating a clean Python 3.12 venv, installing all three
wheels from the local files, running 'pip install -e .', and confirming
'vnasset --help' and GPU tensor allocation work without any remote
ROCm index access.

.gitignore

@@ -6,3 +6,4 @@ models/
 dist/
 build/
 output/
+wheels/