speridlabs/idol-turbo

image-to-3d model by speridlabs

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[](https://hf.co/chat?mode=ml-intern) Idol Turbo A distilled, few-step version of speridlabs/idol. One picture of an object in, up to a million 3D Gaussians out — in 5 guidance-free steps instead of 50 guided ones. Five objects, three panels each: the input image, the turbo at 5 steps (guidance-free, 0.75s), and the original model at 5 steps (with CFG, 2× the evaluations). The backpack was held out of training: Idol Turbo is Idol's flow-matching denoiser distilled for speed: The turbo works with the Comfy-Org/Idol repack and its TripoSplat workflows — the LoRA keys are compatible (verified: identical module paths) and pre-scaled for strength 1.0: Sampling settings: 5 steps, CFG 1.0 (guidance is folded into the LoRA — CFG 1.0 disables the duplicate guidance pass, which is where the 2× comes from). The two LoRA files are phase experts — slow covers the high-noise steps, fast the low-noise steps: Honest caveat: the LoRA weights…

speridlabs/idol-turbo on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-11-09T09:29:07.027Z

Inside the original model card — Document outline
  1. Showcase
  2. What this is
  3. ComfyUI
  4. Step ladder: teacher / naive / turbo (current v5 weights)
  5. Turbo vs naive at 6 steps, with inputs
  6. Honest status
  7. Usage (Python)
  8. License

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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.

Model overview

speridlabs/idol-turbo is a image-to-3d model repository published by speridlabs on Hugging Face. The source reports the idol library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
image-to-3d
Library
idol
Recent downloads (30 days)
446
Cumulative likes
53
Hugging Face trending score
52
Reported safetensors parameters
Not reported
Architecture
Not reported
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-11-03T09:07:17.000Z
Last modified
2026-11-03T23:03:27.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: speridlabs/idol

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-11-09T06:53:49.563Z. Daily imports are snapshots, not real-time monitoring.

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