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license: apache-2.0
tags:
- motion-generation
- text-to-motion
- human-motion
- surveillance
- synthetic-data
- docker
- rest-api
- kimodo
- nvidia
pipeline_tag: text-to-video
---
# kimodo-api 🏃
A **REST API wrapper** around [NVIDIA Kimodo](https://github.com/nv-tlabs/kimodo) — the state-of-the-art text-to-motion diffusion model trained on 700 hours of commercial mocap data.
This image turns Kimodo into a microservice you can call from any pipeline, no Python environment needed.
## Quick Start
```bash
docker pull ghcr.io/eyalenav/kimodo-api:latest
docker run --rm --gpus '"device=0"' -p 9551:9551 \
-v ~/.cache/huggingface:/root/.cache/huggingface \
-e HUGGINGFACE_TOKEN=hf_... \
ghcr.io/eyalenav/kimodo-api:latest
```
> ⚠️ First run downloads Llama-3-8B-Instruct (~16GB) for the text encoder. Requires a HuggingFace token with access to `meta-llama/Meta-Llama-3-8B-Instruct`.
## API
### `POST /generate`
Generate a motion clip from a text prompt.
```bash
curl -X POST http://localhost:9551/generate \
-H "Content-Type: application/json" \
-d '{"prompt": "person pushing through a crowd aggressively"}'
```
**Response:** NPZ file (binary) — SOMA 77-joint skeleton format, compatible with BVH export.
### `GET /health`
```bash
curl http://localhost:9551/health
# {"status": "ok"}
```
## Requirements
| Resource | Minimum |
|---|---|
| GPU | RTX 3090 / A100 / RTX 6000 Ada |
| VRAM | 24 GB |
| RAM | 32 GB |
| Disk | 50 GB (model weights) |
## What's inside
- **Kimodo** — NVIDIA's kinematic motion diffusion model (77-joint SOMA skeleton)
- **LLM2Vec** text encoder backed by **Llama-3-8B-Instruct**
- **FastAPI** server on port 9551
- Health check + graceful startup
## Part of VisionAI-Flywheel
This service is one component of a full synthetic surveillance data pipeline:
```
[kimodo-api] → NPZ motion
↓
[render-api] → SOMA mesh render (MP4)
↓
[cosmos-transfer] → Sim2Real photorealistic video
↓
[NVIDIA VSS] → VLM annotation → fine-tuning dataset
```
🔗 Full pipeline: [github.com/EyalEnav/VisionAI-Flywheel](https://github.com/EyalEnav/VisionAI-Flywheel)
## License
Apache 2.0 — see [LICENSE](https://github.com/EyalEnav/VisionAI-Flywheel/blob/main/LICENSE)
> Kimodo model weights are released under the [NVIDIA Open Model License](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/) and downloaded at runtime. They are not bundled in this image.
|