{
  "id": "trellis2cpp",
  "name": "TRELLIS.2 C++ (local, Metal, no venv)",
  "category": "mesh-gen",
  "description": "Image → PBR GLB via the C++/ggml port of TRELLIS.2 (RobertBeckebans/AI_trellis2cpp) running on Metal. Self-contained binary + GGUFs — NO Python and NO venv, so it cannot hit the 'operator registered, venv absent' failure that takes out the MLX lane on unprepared nodes. Measured on m3ultra vs the same image: 512 fine 42.3s (1.55M tris), 1024 cascade 108.6s (3.78M tris) — about 3.7x faster than trellis2_mlx's 156s for 392k tris, with more geometry. Peak RSS only 9-12 GB. Laptops work too: m2max 99.5s, m4probook 118.0s @512. Keeps one resident server per node (-unload-idle frees the ~15 GB of models when quiet).",
  "accepts": [
    "image"
  ],
  "produces": [
    "model"
  ],
  "resources": "gpu",
  "entry": "run.py",
  "params_schema": {
    "type": "object",
    "properties": {
      "quality": {
        "type": "string",
        "enum": [
          "coarse",
          "512",
          "1024",
          "1536"
        ],
        "default": "1024",
        "description": "coarse = 64^3 marching-cubes preview (seconds). 512 = fine, ~1.5M tris (42s on m3ultra). 1024 = cascade, ~3.8M tris (109s on m3ultra, 301s on an M4 Pro laptop). 1536 = highest tier, loaded but UNTESTED here."
      }
    }
  }
}