Hunyuan3D-2
Tencent's open 3D generator — multi-view, PBR, ready-to-use meshes.
OPEN SOURCE12–16 GB VRAM
VRAM fit12–16 GB
DATASHEET // TRIPOSR
TripoSR
Single-image to 3D mesh in under a second on a 4090.
OPEN SOURCE6–8 GB VRAMRuns locally
Actually FreeNo SignupOpen SourceWatermark-FreeHobbyist-OKAPI
Visit TripoSRUPDATED 2026-01-28 · DIRECT LINK
HARDWARE REQUIREMENTS //
Runs locally · Entry GPU (6–8 GB)
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.
[ EDITORIAL PICK ]
Why we recommend TripoSR
- Open source
Source is public — you can audit it, fork it, and you'll never lose access to your workflows if TripoSR the company changes direction.
- Runs on 6 GB
Fits on entry-level cards (GTX 1660, RTX 3050, RTX 4060). Rare for this category.
- Apple Silicon
Native Metal / MPS support — runs on M-series Macs without CUDA gymnastics.
- Beginner-friendly
You don't need to read a paper before getting your first result — sensible defaults and a quick install.
[ EVIDENCE NOTE ]
Documentation-led datasheet
This page summarizes upstream documentation, release information, and editorially reviewed catalogue fields. It is not presented as a hands-on benchmark. Verify changing requirements at the official project; report stale data through our corrections channel.
AT-A-GLANCE SIGNALS //
DERIVED FROM THIS PAGE'S DATA- Install difficultyEasy
Runs CPU-only — no CUDA / driver gymnastics required.
- Hardware comfortEntry-level
Fits on 6 GB cards — GTX 1660 / RTX 3050 territory.
- EcosystemStrong devkit
Open-source AND ships an API — easy to integrate, possible to host yourself.
- VerificationAgeing
169 days since the last catalogue refresh — flagged for re-verification.
[ COMMUNITY GUIDES & WORKFLOWS ]
Tutorials & deep-dives for TripoSR
Hand-picked from YouTube, Reddit, GitHub, and the wider web. Each link goes straight to the source — we don't intercept or rewrite anything.
[ MORE IN THIS NICHE ]
Other heavy image generation tools we rate
Three picks across different tradeoffs — so you don't end up with three near-clones of 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
Alternatives
TRELLIS
Microsoft Research's structured 3D representation model.
OPEN SOURCE16–24 GB VRAM
VRAM fit16–24 GB
Stable Zero123
Novel-view synthesis — generate any angle from a single image.
OPEN SOURCE6–8 GB VRAM
VRAM fit6–8 GB