cmutluzkan/nvidia-ardy-text-to-motion

🏃 ARDY Motion Generator — TheBuildAI

Free, always-on demo of NVIDIA ARDY (SIGGRAPH 2026) — an autoregressive diffusion model for real-time, text-conditioned 3D human motion generation. Type a prompt (e.g. "A person walks forward and waves with the right hand.") and get back a short animated preview plus the raw motion data (.npz: posed joints, rotations, foot contacts).

• —Model: NVIDIA ARDY — Core skeleton, 20 FPS, Horizon 8 (core8)
• —Text encoder: LLM2Vec on meta-llama/Meta-Llama-3-8B-Instruct
• —Paper: research.nvidia.com/labs/sil/projects/ardy
• —Weights: huggingface.co/collections/nvidia/ardy
• —License: inference code Apache 2.0; model weights under the NVIDIA Open Model License (commercial use permitted)

This Space renders a lightweight joint-scatter animation for a quick preview. For the full interactive experience — live Viser 3D viewer, kinematic constraints (paths, waypoints, keyframes), and dual-GPU setup — run our free Kaggle notebook instead:

👉 ARDY on Kaggle (Dual T4, free GPU)

Space owner setup

This Space needs a Hugging Face token with approved access to `meta-llama/Meta-Llama-3-8B-Instruct`:

1. 1.Request access on the model page and wait for approval.
2. 2.Create a read token in HF token settings.
3. 3.In this Space: Settings → Repository secrets → New secret → name HF_TOKEN, value = your token.

First launch clones nv-tlabs/ardy and builds its C++ extension, then downloads Llama-3-8B (~16 GB) and the ARDY checkpoint on the first generation call — the first request after a cold start can take several minutes. Subsequent requests are much faster.

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