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hao-ai-lab-FastVideo/examples/serving/mlx_fasth3.yaml

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YAML

# Native MLX H3 server. Run from the repository root after downloading and converting weights.
runtime: mlx
generator:
model_path: FastVideo/FastVideo-Minimax-FastH3-Preview-v0.2
model_root: ./FastH3-Preview-v0.2
mlx_checkpoint: ./FastH3-MLX/int6
prompt_cache_dir: ./outputs/h3_prompt_cache
vae_dtype: fp32
server:
host: 127.0.0.1
port: 8000
served_model_name: fasth3
output_dir: outputs/mlx_fasth3
default_request:
sampling:
height: 480
width: 832
num_frames: 124
fps: 24
# HTTP convention: five sigma points, four DiT forwards. Native MLX uses num_steps=4.
num_inference_steps: 5
guidance_scale: 1.0
seed: 2026