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SceneWorks/wan2.2-ti2v-5b-mlx

🤗 Hugging Face sourcetext-to-videoapache-2.05B params10.0 GBsafetensors✓ HF checksums availableupdated today
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Wan2.2-TI2V-5B — MLX (bf16)

Native MLX (Apple Silicon) conversion of Wan-AI/Wan2.2-TI2V-5B, packaged as a turnkey, self-contained snapshot for the SceneWorks app. Downloading this repo replaces the previous "download the source checkpoint and convert on-device" first-run step.

Contents (self-contained, bf16)

file what
model.safetensors Wan2.2 TI2V-5B DiT transformer
t5_encoder.safetensors UMT5-XXL text encoder
vae.safetensors Wan z48 VAE
tokenizer.json UMT5 tokenizer
config.json architecture config

Quantization (Q4/Q8) is applied at load by the engine — these weights are full bf16, so one artifact serves every quant tier.

Provenance

  • Source: Wan-AI/Wan2.2-TI2V-5B (Apache-2.0).
  • Converted with: the SceneWorks native Rust MLX converter (mlx-gen-wan, converter id wan_ti2v_5b), dtype bfloat16.
  • No re-quantization; lean snapshot (excludes diffusers-format directories the MLX engine never loads).

License

Apache-2.0, inherited from the upstream model. This repository redistributes a converted copy of the upstream Apache-2.0 weights, with attribution, as permitted by that license. See the source model card.