Images / Speridlabs

Idol

Turns a single image of an object into a 3D Gaussian splat (.ply), including the sides the picture never showed. 0.66B parameters; publisher-reported 7.2 GB peak VRAM.

Verified sourceReleased Oct 28, 2026Source checked 11/9/2026

LOCALRENTED GPUOPEN WEIGHTS

Freshness 94 out of 100. Release age: 17 days old, Oct 28, 2026. Measures age, not quality.

Popularity 65 out of 100. 31,367 downloads in 30 days; 2,259 lifetime likes. Checked Nov 13, 2026. Measures adoption, not quality.

What do these scores mean?

Two ways to compare models. Neither score measures answer quality, benchmark performance, or whether a model fits your machine.

Freshness · release age

A new release starts at 100. The score halves every 180 days: 100 × 2^(−age in days / 180). When the release date is unavailable, a repository date is a fallback—not proof of when the model was released. Missing dates stay unscored.

Check the date source

Popularity · adoption

Downloads over the past 30 days carry 80% of the score; lifetime likes carry 20%. Both use a logarithmic scale, capped at 10 million downloads and 100,000 likes. If likes are unavailable, downloads carry all the weight. Missing download statistics stay unscored.

round(80 × min(1, log10(1 + downloads) / 7) + 20 × min(1, log10(1 + likes) / 5))

Check the statistics source

Scores as of Nov 14, 2026. Statistics checked Nov 13, 2026. Statistics are marked for refresh after 72 hours.Full scoring method

WORKFLOWS FOR THIS MODEL 1

What do you want to do?

Choose a task. Get the software, files, settings, and steps to run it.

MAKE IT PERSONALChoose your hardware

Image generation

Create a 3D object from an image with Idol

Install Speridlabs’ Idol SDK on an NVIDIA Linux machine or a rented GPU, turn one object photo into a 3D Gaussian splat, and rotate the result in a viewer.

Freshness 94 out of 100. Release age: 17 days old, Oct 28, 2026. Measures age, not quality.

Idol SDK (publisher inference)PyTorch

2 packagesLinux

Open image guide

Open a guide for its software, hardware requirements, and setup steps.

At a glance

Parameters: 0.66B (about 1.8B with encoders)
License: Apache 2.0 (encoders have their own gated terms)
Software: Idol SDK (PyTorch)

MY HARDWARE

Will it run on your machine?

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Best for

Turn a product or object photo into a rotatable 3D splat.

Tradeoffs

Output is a Gaussian splat, not a mesh.
Requires an NVIDIA CUDA GPU and access to two gated encoders.
Single objects, not whole scenes.

Ways to run it

Idol SDK · Linux · NVIDIA

Publisher command-line route.

python -m idol.sample --image photo.jpg --mode real

Official instructions

What to expect

Run the publisher SDK on an NVIDIA GPU with 10 GB or more, or rent one.

Explore its uses

3DGAUSSIAN SPLATIMAGE TO 3D

REFERENCE LIBRARY

Sources and files

Primary sources and files behind this model page.

3 SOURCES

01Model cardhuggingface.co 02SDKgithub.com 03Demo Spacehuggingface.co

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