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 idwan_ti2v_5b), dtypebfloat16. - 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.