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TripoSR

Single-image to 3D mesh in under a second on a 4090.

Open Source 6–8 GB VRAMRuns locally
Actually FreeNo SignupOpen SourceWatermark-FreeHobbyist-FriendlyAPI
Visit TripoSRUpdated 2026-01-28 · Direct link

Hardware requirements

Runs locally · Entry GPU (6–8 GB)

6–8 GB VRAM
Min VRAM
6 GB
Rec. VRAM
8 GB
Min RAM
8 GB
Rec. RAM
16 GB
Disk
5 GB
GPU class
Entry GPU
11.8+Apple Silicon ✓CPU-CapableQuant: FP16

CPU fallback exists but takes several minutes per mesh.

Screenshot placeholder · TripoSR

What is TripoSR?

TripoSR (Tripo AI × Stability AI) reconstructs a 3D mesh from one image in under a second on a high-end consumer GPU. MIT licensed. Output meshes are rough — designed as a starting point for a sculpting pipeline, not a final asset. The fastest open 2D→3D in this class.

Pros & cons

Pros

  • Sub-second inference on modern consumer GPUs
  • MIT license — commercial-friendly
  • Tiny model (~1 GB)

Cons

  • Output meshes are low-poly and topologically rough
  • Single-image only — no multi-view conditioning

What's actually free?

MIT.

✓ Actually FreeNo SignupOpen SourceWatermark-Free

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