Stable Fast 3D
A solid pick for self-hosting and full data control.
Overview
Stable Fast 3D turns a single image into a usable 3D model in seconds, with just 1 billion parameters built to run on a laptop rather than a GPU cluster. It's a solid pick for quickly prototyping game, VR or e-commerce assets. The real limit: Stability AI leaves commercial licensing terms unclear, so teams should check before shipping to production. Self-hosted, all generated data stays on the company's own infrastructure, regardless of the vendor's UK base.
Skill profile
Not disclosed
Strengths
- Open-source and self-hostable
Limitations
- API pricing not disclosed
Who is it for
- you want to control cost or self-host
- you have GDPR constraints
Ideal use cases
- Rapid 3D asset prototyping
- Game asset generation
- E-commerce 3D models
- Local VR/AR demos
Access & availability
Key specifications
Privacy
Run it locally
| Quantization | Disk | RAM / VRAM | Typical hardware |
|---|---|---|---|
| Q4 · recommended | 0.6 GB | 3 GB | Any recent PC/Mac |
| Q8 · balanced | 1.1 GB | 3 GB | Any recent PC/Mac |
| FP16 · max quality | 2 GB | 4 GB | Any recent PC/Mac |
Estimates for a moderate context. Long contexts need more RAM (KV cache).
Deploy
Copy-ready commands generated from this card. Adjust context length and GPU count to your hardware.
OpenAI-compatible server for production on NVIDIA GPUs.
pip install vllm
vllm serve stabilityai/stable-fast-3d \
--max-model-len 32768 \
--tensor-parallel-size 1 \
--dtype autoAdvanced data · for expertsArchitecture, modalities, detailed cost, full benchmarks▾
| Arena Elo | — |
| MMLU | — |
| GPQA | — |
| HumanEval | — |
| SWE-Bench | — |
| MATH | — |