---
license: apache-2.0
base_model: Wan-AI/Wan2.2-I2V-A14B
library_name: mlx
pipeline_tag: image-to-video
tags:
- mlx
- apple-silicon
- wan2.2
- image-to-video
- video-generation
- mixture-of-experts
---

# Wan2.2-I2V-A14B — MLX (bf16)

Native **MLX** (Apple Silicon) conversion of [Wan-AI/Wan2.2-I2V-A14B](https://huggingface.co/Wan-AI/Wan2.2-I2V-A14B), packaged as a turnkey, self-contained snapshot for the [SceneWorks](https://huggingface.co/SceneWorks) app. Downloading this repo replaces the previous "download the native checkpoint and convert on-device" first-run step.

Wan2.2 A14B is a **high/low-noise mixture-of-experts** image-to-video model — two transformers switched at the noise boundary.

## Contents (self-contained, bf16)
| file | what |
|---|---|
| `high_noise_model.safetensors` | high-noise expert DiT (~28.6 GB) |
| `low_noise_model.safetensors` | low-noise expert DiT (~28.6 GB) |
| `t5_encoder.safetensors` | UMT5-XXL text encoder (~11.4 GB) |
| `vae.safetensors` | Wan z16 VAE |
| `tokenizer.json` | UMT5 tokenizer |
| `config.json` | architecture config (`dual_model: true`, `in_dim: 36` image-concat) |

Quantization (Q4/Q8) is applied **at load** by the engine — these weights are full bf16.

## Provenance
- **Source:** `Wan-AI/Wan2.2-I2V-A14B` (Apache-2.0).
- **Converted with:** the SceneWorks native Rust MLX converter (`mlx-gen-wan`, converter id `wan_i2v_14b`), dtype `bfloat16`, dense (no baked-in quant).
- Lean snapshot — only the files the MLX engine 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](https://huggingface.co/Wan-AI/Wan2.2-I2V-A14B).