Radar / AI media tools / Idol
Idol: single-image 3D Gaussian splats on a 7.2GB GPU
Speridlabs' open Apache-2.0 model turns one photo into a 3D Gaussian splat, including sides the camera never saw, on a consumer GPU.
Why it matters
First open image-to-3D model that runs on 7.2GB of VRAM and is now the #1 trending model on Hugging Face.
What you could build with it
An indie game developer could turn product photos or single renders into 3D Gaussian splats for a web storefront, letting shoppers orbit a product without a 3D artist in the loop.
Does it hold up?
Usable today: the Hugging Face Space and fal endpoint work out of the box, and the SDK runs on a 7.2GB GPU. But every quality number so far is the authors' own benchmark with no independent evaluation, so treat the win-over-TRELLIS claims as unverified.
Built with Idol
- Idol: the AI model that turns any picture into a 3D objectmedium · Walkthrough of Idol's architecture and how to run it locally with the idol-sdk.
- Running Idol single-image-to-3D on an M1 Max without CUDAarticle · A blogger runs Idol on Apple Silicon: about 7 minutes per generation without CUDA, using the official Hugging Face Space as a fallback.
- Idol image-to-3D: 1M Gaussians from one photoarticle · Spec rundown: 0.66B parameters, up to 1,048,576 Gaussians, Apache 2.0, with the two gated-encoder catch spelled out.
- speridlabs/idol-sdkgithub · 921 ★ · Official inference SDK and demo for Idol.
Learn more
First spotted on hf: source.
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