golden/flow.json

{
  "num_inference_timesteps": 4,
  "num_timestep_buckets": 1000,
  "timestep_values": [
    0,
    250,
    500,
    750
  ],
  "dt": 0.25,
  "vel_strength": 1.0,
  "noise_shape": [
    1,
    40,
    132
  ],
  "noise_dtype": "float32",
  "embodiment_id_folded": 10,
  "_comment": "actions = randn(noise_shape, noise_dtype); for t in timestep_values: actions += dt * dit(velocity) * vel_strength. randn 은 시드와 RNG 스트림 위치까지 모델의 것을 따른다 (groot_n1_7.py:657)."
}