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README.md
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---
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license: apache-2.0
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base_model: Wan-AI/Wan2.2-TI2V-5B
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library_name: mlx
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pipeline_tag: text-to-video
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tags:
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- mlx
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- apple-silicon
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- wan2.2
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- text-to-video
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- image-to-video
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- video-generation
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---
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# Wan2.2-TI2V-5B — MLX (bf16)
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Native **MLX** (Apple Silicon) conversion of [Wan-AI/Wan2.2-TI2V-5B](https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B), packaged as a turnkey, self-contained snapshot for the [SceneWorks](https://huggingface.co/SceneWorks) app. Downloading this repo replaces the previous "download the source checkpoint and convert on-device" first-run step.
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## Contents (self-contained, bf16)
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| file | what |
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|---|---|
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| `model.safetensors` | Wan2.2 TI2V-5B DiT transformer |
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| `t5_encoder.safetensors` | UMT5-XXL text encoder |
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| `vae.safetensors` | Wan z48 VAE |
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| `tokenizer.json` | UMT5 tokenizer |
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| `config.json` | architecture config |
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Quantization (Q4/Q8) is applied **at load** by the engine — these weights are full bf16, so one artifact serves every quant tier.
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## Provenance
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- **Source:** `Wan-AI/Wan2.2-TI2V-5B` (Apache-2.0).
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- **Converted with:** the SceneWorks native Rust MLX converter (`mlx-gen-wan`, converter id `wan_ti2v_5b`), dtype `bfloat16`.
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- No re-quantization; lean snapshot (excludes diffusers-format directories the MLX engine never loads).
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## License
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**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](https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B).
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