modelbeast/server/operators/fal_bg_remove/manifest.json
MODELBEAST 7ea3c8b935 fal panel: 5 new operators, image outputs, grouped UI, no-input ops + review fixes
Operators (16 total):
- fal_hunyuan3d_v21: Hunyuan3D 2.1 single-image (live-verified dash variant,
  ~90s; v21 multi-view is broken on fal — v2 stays the multi-view path)
- fal_bg_remove (BiRefNet v2): subject cutout pre-pass — the biggest quality
  lever before image->3D
- fal_upscale (SeedVR faithful upscale), fal_image_edit (nano-banana prompt
  edits), fal_text_image (Ideogram v3 — first no-input operator)
- fal_common: collect='images' mode; recursive URL extractor now takes the
  wanted extension set

UI: operator dropdown grouped by category (optgroup); operators with
accepts: [] run without a selected asset ('No input asset needed' note);
run-button/launch logic updated accordingly.

Review fixes (Opus Phase 1 commit):
- runner._run_lane crashed (TypeError) when a queued job was deleted before
  the worker picked it up
- PUT /api/settings treated empty string as a masked placeholder, making
  secrets impossible to clear from the UI
- store.register_file mutated the caller's meta dict via pop

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-12 21:51:16 +10:00

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JSON

{
"id": "fal_bg_remove",
"name": "fal · Remove Background",
"category": "image-prep",
"description": "Image → clean subject cutout (transparent PNG) via fal-ai/birefnet/v2 (sub-cent). The single biggest quality lever before image→3D: run this first, then feed the cutout to TRELLIS/Hunyuan/SF3D so no geometry is wasted on background clutter. Needs FAL_KEY.",
"accepts": ["image"],
"produces": ["image"],
"resources": "net",
"requires_env": ["FAL_KEY"],
"entry": "run.py",
"params_schema": {
"type": "object",
"properties": {
"operating_resolution": {"type": "string", "enum": ["1024x1024", "2048x2048"], "default": "1024x1024", "description": "Processing resolution (2048 = finer edges, slower)"},
"extra_args": {"type": "string", "default": "", "description": "Raw JSON merged into fal arguments (e.g. model variant). Full control"}
}
}
}