Add BEN2 and BiRefNet-HR as selectable Remove Background models

BEN2 becomes the new default local backend (clean cutouts, strong on
hair/fur edges), with BiRefNet-HR available as a high-res/print
alternate and U2Net kept as the lightweight fallback. Both are
MIT-licensed and download weights from HuggingFace on first use
(cached via the existing hf_cache bind mount), unlike U2Net/SAM which
need an explicit download script.

- config: new BG_REMOVAL_MODEL setting (default "ben2")
- tools.py: remove-background-base64 now tries local backends in
  order (request.model override > BG_REMOVAL_MODEL > ben2/u2net),
  falling back to rembg's birefnet-general session as a last resort
- requirements.gpu.txt / Dockerfile.gpu: add ben2 + transformers deps
  needed for the new backends, with a build-time smoke test for ben2
- frontend: model dropdown in the Remove Background dialog, threaded
  through api.js to the new request field

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ro4PwQKvSc3CH19LSN21Ht

.env.example

@@ -171,6 +171,12 @@ AUTO_DOWNLOAD_SAM=true
 # When false: Skips download, Remove Background falls back to rembg (if installed)
 AUTO_DOWNLOAD_U2NET=true
 
+# Background removal model (Remove Background tool) — used when request.model="auto"
+# Options: ben2 (default — best for clean cutouts, hair/edges), birefnet-hr
+# (best for high-res/print work, slower), u2net (lightweight, always-on fallback)
+# ben2 and birefnet-hr download weights from HuggingFace on first use (GPU image only).
+BG_REMOVAL_MODEL=ben2
+
 # Allow users to select model per-edit
 ALLOW_MODEL_OVERRIDE=true