3DRobotics

Kimodo

A diffusion model that creates three-dimensional body animation from a text description and set conditions: poses, positions of hands and feet, a route and points to pass through. There are versions for the SOMA skeleton (30 joints), the Unitree G1 robot (34 joints) and the SMPL-X human (22 joints). Version 1.2 is trained on a corrected set: in 1.1 some test recordings leaked into training, so the new version is the one to compare against other models. According to the authors, foot skating is reduced and text following is slightly weaker. The data of some variants is proprietary (Bones Rigplay), while the open variants are trained on Bones-SEED.

Developer
NVIDIA, USA
First release
Apr 2026
Latest release
Oct 2026
Sizes
not stated
License
Commercial use allowedNVIDIA Open Model License (commercial use allowed)
Running
On your own serverNeeds a GPU
Industries
Media and production, Manufacturing and logistics, Science and research
Deploy on your server Hugging Face GitHub

What it does

  • animating characters for games and video from a description
  • motions for humanoid robots (the Unitree G1 skeleton)
  • motion drafts with a given route and poses

Where it is used

games and animationroboticsmedia and film

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
no versions
1 GPUOne GPU with 16–80 GB — mid-size versions
fits
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. Kimodo-SOMA-RP v1.2
  2. Kimodo-SOMA-RP v1.1 и SOMA-SEED v1.1

How to run it

On your own serverWeights are downloaded from Hugging Face and served with vLLM (load and API) or llama.cpp (modest hardware). The model then runs in a closed network with no per-request fees.Hugging Face
How much hardware you needCalculate the VRAM for the model size, context length and number of concurrent requests.Open the hardware calculator

I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.

Frequently asked questions

Can Kimodo be used in a commercial project?

Yes. License: NVIDIA Open Model License (commercial use allowed). It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does Kimodo need?

At minimum: One GPU with 16–80 GB — mid-size versions. Without a GPU the model is not practical. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does Kimodo support Russian?

Language does not matter for this model: it does not work with text.

Where can I download Kimodo and what does it cost?

The Kimodo weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.

How I deploy it for clients

  1. SelectionI pick the model size for your task and hardware and test it on your examples.
  2. DeploymentI deploy it on your server or in a closed network and provide an API.
  3. Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
  4. IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.

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Details

Source: huggingface.co/nvidia/Kimodo-SOMA-RP-v1.2. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.