Guides

How to run OmniPart without a GPU

How can I run OmniPart without a GPU or a local install?

OmniPart has open weights, so you can run it yourself, but you need the hardware: a Linux NVIDIA setup like TRELLIS's, since no VRAM figure is published. Without a GPU, the simplest route is a hosted version. In OTOY Studio, OmniPart runs in the browser from 18 credits (€0.18) per run, with nothing to install, on the same canvas as 100+ other image, video and 3D models.

A part-aware image-to-3D model (SIGGRAPH Asia 2025). It generates a 3D object already split into separate, editable parts, and builds on TRELLIS.

Running it yourself

Open weights OmniPart is on Hugging Face.
License MIT. Commercial use is allowed.
Hardware The README does not state a VRAM requirement. Because it builds on TRELLIS, plan for a Linux NVIDIA setup like TRELLIS's.
Operating system Linux with an NVIDIA GPU is the documented setup (Python 3.10).
ComfyUI No.

Sources: OmniPart on GitHub, OmniPart on Hugging Face. Checked October 16, 2026.

Run it yourself if: You need to change how parts are split (it takes a mask input locally), or run large batches.

Running it without a GPU in OTOY Studio

Node Takes Credits per run
OmniPart Prompt plus image 18 (from €0.18)
  1. Sign up free at https://app.otoy.studio. The free plan includes 100 credits a month, no credit card.
  2. Add a OmniPart node to a canvas and connect your inputs.
  3. Run it. It runs on OTOY Studio's hosted GPUs, so your machine only needs a browser.
  4. Chain the output into other models in the same workflow, or download it.

1 credit = €0.01. Prices are list prices before plan discounts (paid plans take 10% to 25% off every run). Model page: OmniPart.

Related

Hardware and license details are from each model's official repository and model card, checked October 16, 2026. Prices are computed from OTOY Studio's billing configuration, exported 2026-10-20.

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