Instructions to use suvadityamuk/idol-diffusers-3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use suvadityamuk/idol-diffusers-3d with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("suvadityamuk/idol-diffusers-3d", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download NOTICE from suvadityamuk/idol-diffusers-3d: direct link, hf CLI and curl.
- Browser
- Download file 917 Bytes
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https://huggingface.co/suvadityamuk/idol-diffusers-3d/resolve/main/NOTICE
- Command line
-
hf download hf://suvadityamuk/idol-diffusers-3d/NOTICE
-
curl -L -o NOTICE https://huggingface.co/suvadityamuk/idol-diffusers-3d/resolve/main/NOTICE
917 Bytes
| This repository holds the denoiser and Gaussian decoders of speridlabs/idol (revision | |
| 2731c2291fc65a797c5cb627a5e5526fc1490902), converted by diffusers-3d into Diffusers component folders. Parameters | |
| were renamed and the two decoders merged; weight values are unchanged. They are provided under the accompanying | |
| Apache License 2.0 (LICENSE-APACHE-2.0). | |
| IDOL's networks keep the architecture of VAST-AI-Research TripoSplat, provided under the MIT License | |
| (LICENSE-MIT, Copyright (c) 2026 VAST). | |
| The DINOv3 image encoder (facebook/dinov3-vith16plus-pretrain-lvd1689m, DINOv3 License) and the | |
| FLUX.2 VAE encoder (black-forest-labs/FLUX.2-dev, FLUX non-commercial license) are not included in this repository. | |
| diffusers-3d loads them from those repositories at pinned revisions; their own terms apply. | |
| No affiliation, sponsorship, or endorsement by Speridlabs, VAST-AI-Research, Meta, or Black Forest Labs is claimed. | |