Restore runtime deps: models, dots.tts, torchvision shadow

Rebuild the venv half of the reconstruction. Adds the two CPU onnx
detectors back under models/ (comic-text-detector, deepghs anime face,
both gitignored), re-clones the dots.tts checkout, and records both
recipes in requirements.txt so the next rebuild skips the archaeology.

Two pre-existing environment breakages had to be cleared:

- Arch's torchvision 0.25 is too old for torch 2.13, so every
  transformers model import died with "operator torchvision::nms does
  not exist". Shadowed with 0.28.0+rocm7.2 inside the venv only, so the
  system copy stays put.
- dots_tts refuses to import when torch and torchaudio minors differ,
  and that pair is unsatisfiable here: 2.11 is the newest torchaudio
  ROCm wheel there is. Verified 2.11 loads and resamples against 2.13,
  then scoped a bypass around the import in both call sites.

Self-checks 13/14. worker_layers still needs the ComfyUI workflow json,
which legacy/ took with it.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

scripts/pick_tts_voice.py

@@ -25,7 +25,18 @@ def load_model(model_name: str):
             cls, *args, **{"fix_mistral_regex": True, **kwargs}
         )
     )
-    from dots_tts.runtime import DotsTtsRuntime
+    # Match worker_tts.py's torch/torchaudio minor-mismatch bypass too.
+    import torch
+    import importlib.metadata as metadata
+
+    real_version = metadata.version
+    metadata.version = (
+        lambda name: torch.__version__ if name == "torchaudio" else real_version(name)
+    )
+    try:
+        from dots_tts.runtime import DotsTtsRuntime
+    finally:
+        metadata.version = real_version
 
     return DotsTtsRuntime.from_pretrained(model_name, precision="bfloat16")