QtMeshEditor models
Collection
AI models that power QtMeshEditor — image→3D, auto-rig, text-to-motion, PBR, segmentation, and more. • 29 items • Updated
Licensed by NVIDIA Corporation under the NVIDIA Open Model License (LICENSE-NVIDIA-OML.txt, NOTICE-Kimodo.txt).
An ONNX conversion of NVIDIA Kimodo-SOMA-RP-v1.2 for
QtMeshEditor, which runs Kimodo's text-to-motion natively
(ONNX Runtime + llama.cpp, no Python). Made by
scripts/export-kimodo-onnx.py:
| File | Contents |
|---|---|
kimodo_denoiser.onnx |
the two-stage transformer denoiser (batch 1, dynamic frame count) |
kimodo_decode.onnx |
features -> SOMA-30 rotations, root, contacts |
kimodo_encode.onnx |
SOMA-30 rotations + root (+ smoothed root) -> features |
kimodo_transition.onnx |
the multi-segment transition conditioning |
kimodo_meta.json |
normalization statistics, diffusion schedule, skeletons, post-processing rig |
The sampling loop (DDIM, classifier-free guidance), segment stitching, root smoothing and NVIDIA's MotionCorrection post-processing run in C++. Verified against Kimodo's own PyTorch generation on the same text features and noise: max joint rotation error 2e-4, root 0.003 cm, identical foot contacts.
The text encoder lives in its own repository (a Meta Llama 3 derivative): Llama-3-LLM2Vec-8B-Kimodo-TextEncoder-GGUF.
Base model
nvidia/Kimodo-SOMA-RP-v1.2