rigyd

SDK + CLI for Rigyd: convert any 3D model, text prompt, or image into a physics-enabled SimReady simulation asset — USD for NVIDIA Isaac Sim, MJCF for MuJoCo — from your terminal or your Python code.

Zero dependencies. pip install rigyd and go.

CLI

pip install rigyd
rigyd login                                   # stores your rgyd_live_... key

rigyd generate --text "wooden chair" --export isaac -o ./assets
rigyd generate --image front.png --image right.png --image back.png --image left.png
rigyd convert chair.glb --tris 50000 --export all

rigyd jobs list
rigyd jobs get <job_id>
rigyd download <job_id> --export mujoco       # re-download any job, 0 credits
rigyd simulate <job_id> --scene drop          # physics demo video, 0 credits
rigyd whoami                                  # user + credit balance

• --export takes a format (usd, mjcf, all) or a simulator alias (isaac → USD, mujoco → MJCF). Default: usd.
• Progress goes to stderr, the result path to stdout, so it composes: blender $(rigyd convert scan.obj --export usd). Add --json for a machine-readable manifest (agents/CI).

Python SDK

import rigyd
rigyd.configure()                                  # key from login/env

job = rigyd.convert(prompt="a wooden dining chair")
job.wait(on_progress=lambda j: print(j.status, j.stage, j.progress))
xml_path = job.download(fmt="mjcf")                # or "usd" / "all"
print(rigyd.account())                             # user + credit balance

MuJoCo extra

pip install "rigyd[mujoco]"

model = rigyd.load_model(prompt="a wooden chair")  # -> mujoco.MjModel, ready to mj_step

Loading into a live simulator

• NVIDIA Isaac Sim — use the Rigyd SimReady Importer extension (Omniverse Community Registry: rigyd.simready) to generate and load assets onto the stage without leaving the app. This CLI produces the same USD files for offline/scripted pipelines.
• MuJoCo — rigyd.load_model(...) above, or mujoco.MjModel.from_xml_path(<path from rigyd download --export mujoco>).

Configuration

Key resolution order: --api-key flag → RIGYD_API_KEY env → ~/.config/rigyd/config.json (written by rigyd login, mode 600).

License

MIT — see LICENSE.