FlashHead Lite MLX

Self-contained checkpoint for AI2Apps FlashHead native MLX Model Worker. Runtime and model Python code are distributed separately.

Includes Lite DiT, its VAE and Wav2Vec2 base. Original tensor layouts are converted to MLX on load; Pro Wan VAE was converted offline from a pure tensor state dictionary to safetensors. No Torch is required for inference.

Fixed upstream revisions, exact runtime file list, sizes and SHA-256 values are in ai2apps-checkpoint.json.

Sources: SoulX-FlashHead, official weights, Wav2Vec2. Upstream model cards declare Apache-2.0. Preserve LICENSE and NOTICE.md.

512x512, 25 FPS, four denoising steps. This is a local offline generation path; no real-time streaming claim.

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MLX

Hardware compatibility

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