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Glasses 3D Output — TRELLIS.2-4B

3D GLB models generated from glasses photos using TRELLIS.2-4B on H100.

Files

Single-image (frontal photo, 1024_cascade)

File Steps Guidance Rescale Verts GLB Size Notes
glasses_hq.glb 12 7.5 0.5 851K 37.5 MB Default params, good baseline
ref_a.glb 20 9.0 0.5 979K 41.2 MB More steps + slightly higher guidance
ref_b.glb 24 7.5 0.5 961K 40.4 MB More steps, default guidance
ref_c.glb 20 10.0 0.3 1.09M 38.7 MB Best fidelity — thinnest temples, best bridge detail

Multi-image (3 photos averaged conditioning, 1024_cascade)

File Steps Guidance Rescale Verts GLB Size Notes
glasses_multi.glb 12 7.5 0.5 991K 40.8 MB Default params, 3 photos
exp_hd.glb 24 12.0 0.5 1.21M 55.7 MB High detail, wider guidance interval [0.3, 1.0]

Common parameters

All models use:

  • Model: TRELLIS.2-4B (microsoft/TRELLIS.2-4B)
  • Pipeline: 1024_cascade (512 → 1024 upscale)
  • Attention: SDPA (scaled dot product attention)
  • Post-processing: decimation_target=1000000, texture_size=4096, remesh=True
  • Seed: 42

Sampler details

All samplers use FlowEulerGuidanceIntervalSampler with sigma_min=1e-5.

Default params from pipeline.json:

  • Sparse structure: steps=12, guidance=7.5, rescale=0.7, interval=[0.6, 1.0], rescale_t=5.0
  • Shape SLat: steps=12, guidance=7.5, rescale=0.5, interval=[0.6, 1.0], rescale_t=3.0
  • Texture SLat: steps=12, guidance=1.0, rescale=0.0, interval=[0.6, 0.9], rescale_t=3.0

ref_a overrides: all samplers steps=20, ss/shape guidance=9.0, tex guidance=2.0 ref_b overrides: all samplers steps=24 ref_c overrides: all samplers steps=20, ss/shape guidance=10.0 + rescale=0.3, tex guidance=2.0 exp_hd overrides: all samplers steps=24, ss/shape guidance=12.0 + interval=[0.3, 1.0], tex guidance=3.0 + interval=[0.3, 1.0]

Best results

  • ref_c.glb — most accurate single-image generation (closest to original photo)
  • ref_a.glb — good balance of detail and accuracy
  • glasses_hq.glb — solid default baseline
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