605b1ae347
Framework:
- server/settings.py: key/value settings + secrets, env-injected into operator
subprocesses, secret values masked in API and redacted from job logs
- runner: gpu/cpu/net concurrency lanes, job cancel/retry/delete, multi-input,
graceful 'not installed' error when a tool venv is missing
- db: settings table, asset_ids column (migrated), MODELBEAST_DATA test override
- main: settings + job-action endpoints, inbox watch folder auto-ingest
- store: operators can tag output asset kind (splat, colmap_dataset)
Operators (11 total):
- fal_trellis/trellis2/hunyuan3d/rodin via shared _lib/fal_common.py (verified
params + endpoint ids; recursive result-URL extractor handles per-endpoint keys)
- sf3d, trellis_mac: local MPS image-to-3D, installed with Metal kernels built,
gated on owner HuggingFace auth
- colmap_poses (COLMAP 4.x + GLOMAP global mapper), brush_train (native Metal 3DGS)
- Scan pipeline validated end-to-end through the UI: frames -> colmap (48/48
registered, 0.6px) -> brush -> splat.ply -> in-app SplatViewer
Frontend:
- Settings modal, operator gating (lock + disabled run when requires_env unmet),
job cancel/retry/delete, Compare grid (multi-select side-by-side viewers),
SplatViewer (gaussian-splats-3d, Ply format forced for extensionless URLs)
Tooling: scripts/install_{colmap,brush,sf3d,trellis_mac}.sh; vendor/ + venvs/
gitignored; tests/smoke.sh (12 checks passing); BENCHMARKS.md
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
35 lines
2.3 KiB
Markdown
35 lines
2.3 KiB
Markdown
# MODELBEAST Benchmarks (M3 Ultra, 256GB)
|
||
|
||
First measurements on this machine, recorded 2026-07-12. Fixtures are synthetic
|
||
(Blender-rendered Suzanne), so quality numbers are not representative of real
|
||
photography — these validate that the pipeline *runs* and how fast.
|
||
|
||
## Scan track (fully validated, no gated weights)
|
||
| Stage | Input | Settings | Result |
|
||
|---|---|---|---|
|
||
| `colmap_poses` | 48 frames @ 800×600 | sequential matcher, global (GLOMAP) mapper, OPENCV, CPU SIFT | **48/48 images registered, 1479 points, 0.60px mean reprojection error**; global mapper step ~1.0s; full job a few seconds |
|
||
| `brush_train` | above colmap_dataset | 1500 steps, max_res 800, sh 2 | ~30–60s wall, 465KB splat.ply, renders in the in-app SplatViewer |
|
||
|
||
A full-quality `brush_train` run is 30000 steps (the default) — expect minutes,
|
||
and a much crisper splat than the 1500-step preview above.
|
||
|
||
## Mesh-gen (installed; first real run blocked on owner HuggingFace auth)
|
||
| Operator | Install | Runtime status |
|
||
|---|---|---|
|
||
| `sf3d` | venv + Metal texture_baker/uv_unwrapper kernels compiled OK; torch 2.13 MPS available | Runs end-to-end; **weights gated** — `stabilityai/stable-fast-3d` returns `GatedRepoError` until the owner accepts the license + sets an HF token. Then expect seconds-to-a-minute on MPS. |
|
||
| `trellis_mac` | setup.sh built .venv (py3.11) + mtl* Metal kernels; torch 2.13 MPS available | Runs end-to-end; **weights gated** — needs HF access to `facebook/dinov3-vitl16-pretrain-lvd1689m` + `briaai/RMBG-2.0`. Expect ~3–5 min/gen once authed (M4 Pro reference; M3 Ultra should match or beat). |
|
||
| `fal_*` (trellis / trellis2 / hunyuan3d / rodin) | none (API) | Gated on `FAL_KEY`. Verified param surfaces; ~1s–1min server-side per fal docs. |
|
||
|
||
## To unblock the gated local operators
|
||
1. Accept the model licenses on HuggingFace (one-time, usually instant):
|
||
- https://huggingface.co/stabilityai/stable-fast-3d
|
||
- https://huggingface.co/facebook/dinov3-vitl16-pretrain-lvd1689m
|
||
- https://huggingface.co/briaai/RMBG-2.0
|
||
2. Either `huggingface-cli login` on the machine, or paste an HF token into
|
||
Settings → "HuggingFace token" (injected as `HF_TOKEN` for the operators).
|
||
|
||
## Method
|
||
Timings are wall-clock from the job runner (`started_at`→`finished_at`), single
|
||
job at a time (gpu lane = 1). Re-run `tests/smoke.sh` for the framework
|
||
regression suite (12 checks, ~30s).
|