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DATASHEET // STABLE-ZERO123

Stable Zero123

Novel-view synthesis — generate any angle from a single image.

OPEN SOURCE6–8 GB VRAMRuns locally
Actually FreeOpen SourceWatermark-FreeHobbyist-OKAPI
Visit Stable Zero123UPDATED 2025-09-08 · DIRECT LINK
huggingface.co/stabilityai/stable-zero123
Stable Zero123 — preview image

HARDWARE REQUIREMENTS //

Runs locally · Entry GPU (6–8 GB)

6–8 GB VRAM
Min VRAM
6 GB
Rec. VRAM
8 GB
Min RAM
16 GB
Rec. RAM
16 GB
Disk
10 GB
GPU class
Entry GPU
11.8+No Apple SiliconGPU RequiredQuant: FP16

Inference is single-image; lightweight relative to mesh generators.

[ EDITORIAL PICK ]

Why we recommend Stable Zero123

DERIVED FROM METADATA — NOT SPONSORED
  • Open source

    Source is public — you can audit it, fork it, and you'll never lose access to your workflows if Stable Zero123 the company changes direction.

  • Runs on 6 GB

    Fits on entry-level cards (GTX 1660, RTX 3050, RTX 4060). Rare for this category.

  • Beginner-friendly

    You don't need to read a paper before getting your first result — sensible defaults and a quick install.

  • Hosted API too

    Both self-hostable and available as a hosted API — prototype on someone else's GPU, deploy on yours.

[ 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.

VRAM guide

AT-A-GLANCE SIGNALS //

DERIVED FROM THIS PAGE'S DATA
  • Install difficulty
    Standard

    A standard local install — download, install dependencies, point at your GPU.

  • Hardware comfort
    Entry-level

    Fits on 6 GB cards — GTX 1660 / RTX 3050 territory.

  • Ecosystem
    Strong devkit

    Open-source AND ships an API — easy to integrate, possible to host yourself.

  • Verification
    Stale

    311 days since the last refresh — treat hardware numbers as a floor, not a ceiling.

[ COMMUNITY GUIDES & WORKFLOWS ]

Tutorials & deep-dives for Stable Zero123

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 Stable Zero123.

What is Stable Zero123?

Stable Zero123 generates new viewpoints of an object from a single image. Not a mesh generator itself — pair it with a SDS-based pipeline (Zero123++, DreamGaussian) to produce 3D assets, or use it standalone to create training data for downstream 3D models.

Pros & cons

✓ PROS

  • Genuinely useful as a novel-view backbone
  • Lighter than full mesh generators
  • Strong base for SDS-style 3D pipelines

– CONS

  • Not a one-shot mesh generator on its own
  • Community License revenue clauses

What's actually free?

Stability AI Community License.

✓ Actually FreeOpen SourceWatermark-Free

Alternatives

TripoSR

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

OPEN SOURCE6–8 GB VRAM
VRAM fit6–8 GB

TRELLIS

Microsoft Research's structured 3D representation model.

OPEN SOURCE16–24 GB VRAM
VRAM fit16–24 GB

Hunyuan3D-2

Tencent's open 3D generator — multi-view, PBR, ready-to-use meshes.

OPEN SOURCE12–16 GB VRAM
VRAM fit12–16 GB