speridlabs/idol-sdk

Idol: a single image to 3D Gaussians. Inference SDK and demo.

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A single image to 3DGS object model Idol turns one picture of an object into a 3D Gaussian splat. Give it a render, a generated image or a photo: it removes the background, frames the object and generates up to 1,048,576 Gaussians, including the sides the picture never showed. It runs on consumer GPUs, using 7.2 GB of VRAM and can run in under 2 seconds. [](https://huggingface.co/speridlabs/idol) [](https://huggingface.co/spaces/speridlabs/idol) [](https://www.python.org/downloads/) Each pair: the input image and the generated object turning. The demo has 93 more examples ready to run and takes your own images as well. The weights are downloaded from Hugging Face on first use, you need to request access to facebook/dinov3-vith16plus-pretrain-lvd1689m and black-forest-labs/FLUX.2-dev first, then log in with hf auth login. flash-attn, if installed, is used for attention; otherwise PyTorch's scaleddotproductattention is (same result, slower). Set ATTNBACKEND=sdpa or ATTNBACKEND=flashattn to choose. For each image this writes .ply (open it…

speridlabs/idol-sdk on GitHub A short preview, not the full document.

Read the full README ↗ · Preview checked 2026-11-01T13:52:59.440Z

Inside the original README — Document outline
  1. Idol
  2. Model
  3. Install
  4. Inference
  5. Python API
  6. Demo
  7. More details about the model
  8. Benchmark
  9. Across GPUs
  10. Acknowledgements

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Documentation belongs to its respective authors. Reported project/model license: Apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

What this repository does

Idol: a single image to 3D Gaussians. Inference SDK and demo.

Repository facts

Owner
speridlabs
Primary language
Python
Stars
416
Forks
30
Open issues + pull requests
3
License
Apache-2.0
Archived
No
Default branch
main
Created
2026-10-28T19:44:27.000Z
Last push
2026-10-29T20:45:34.000Z

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