| --- |
| license: apache-2.0 |
| base_model: Wan-AI/Wan2.2-I2V-A14B-Diffusers |
| pipeline_tag: image-to-video |
| library_name: mlx-gen |
| tags: |
| - mlx |
| - mlx-gen |
| - mflux |
| - apple-silicon |
| - 8-bit |
| - mixed-q8-bf16 |
| - wan |
| - wan2.2 |
| - video-generation |
| - image-to-video |
| - wan-a14b |
| --- |
| # wan2.2-i2v-a14b-diffusers-8bit |
|
|
| This repository contains mixed q8/BF16 MLX-Gen saved weights for |
| [`Wan-AI/Wan2.2-I2V-A14B-Diffusers`](https://huggingface.co/Wan-AI/Wan2.2-I2V-A14B-Diffusers). |
| It is designed for local Apple Silicon inference with |
| [`mlx-gen`](https://github.com/lpalbou/mlx-gen). |
|
|
| It uses the mflux/MLX saved-weight layout with MLX quantization tensors. It is not a Diffusers or Transformers |
| `from_pretrained()` checkpoint. |
|
|
| ## Source Model |
|
|
| Original model: [`Wan-AI/Wan2.2-I2V-A14B-Diffusers`](https://huggingface.co/Wan-AI/Wan2.2-I2V-A14B-Diffusers). |
|
|
| This quantized derivative follows the Apache 2.0 license of the source model. |
|
|
| ## Quantization |
|
|
| This is a mixed q8/BF16 checkpoint: |
|
|
| - q8 for quantizable Wan transformer block attention and feed-forward linears. |
| - BF16 for the Wan VAE. |
| - BF16 for Wan transformer conditioning/output projection linears, the UMT5 text encoder, scheduler metadata, tokenizer files, norms, convolutions, and other non-quantizable parameters. |
|
|
| This mixed policy is used because fully quantizing sensitive Wan A14B paths produced invalid or low-quality video in local validation. |
|
|
| ## Validation |
|
|
| Measured on 2026-06-04 with `mlx-gen 0.18.9` on Apple Silicon. The upstream Diffusers source snapshot measured about 118 GiB in the local Hugging Face cache before preparing these packages. The table below reports prepared-package generation from model init through MP4 save and post-save video-health validation. |
|
|
| Validation profile: public spacecraft source image, `384x384`, 33 frames, 12 denoising steps, guidance `3.5`, guidance-2 `3.5`, 8 fps, seed `4242`, `--low-ram`. |
|
|
| | Package | Disk | Full-Process Physical Peak | Max RSS | MLX Peak | Total Time | Video Health | |
| |---|---:|---:|---:|---:|---:|---| |
| | BF16 package | 64.1 GiB | 33.7 GiB | 31.8 GiB | 28.2 GiB | 228.2 s | 33/33 frames, 384x384, 8 fps, temporal delta 10.4 | |
| | This mixed q8/BF16 package | 39.7 GiB | 21.5 GiB | 19.6 GiB | 15.9 GiB | 242.2 s | 33/33 frames, 384x384, 8 fps, temporal delta 10.5 | |
|
|
| Compared with the BF16 prepared package at the same validation profile, this mixed q8/BF16 package reduces disk usage by about 38% and full-process physical peak memory by about 36%. Total time was about 6% slower in this run. |
|
|
| Physical peak is Darwin `ri_phys_footprint` sampled for the full process. The validation is intentionally small and repeatable; it is not a claim that every full-size `1280x720`, 81-frame, 40-step job has the same memory or timing profile. |
|
|
| ## Usage |
|
|
| The included public sample image is available at `examples/i2v_takeoff_source.png` when this repository is cloned locally. For best I2V stability, use an input image whose aspect ratio matches the requested video dimensions and keep the subject inside the frame. |
|
|
| ```bash |
| python -m pip install -U mlx-gen |
| |
| mlxgen download --model AbstractFramework/wan2.2-i2v-a14b-diffusers-8bit |
| |
| mlxgen generate \ |
| --model AbstractFramework/wan2.2-i2v-a14b-diffusers-8bit \ |
| --task image-to-video \ |
| --image path/to/input.png \ |
| --prompt "Cinematic image-to-video of the spacecraft lifting off from a snowy landing field, engines glowing, exhaust plume expanding, the full craft remains centered in frame." \ |
| --width 384 \ |
| --height 384 \ |
| --frames 33 \ |
| --steps 12 \ |
| --guidance 3.5 \ |
| --guidance-2 3.5 \ |
| --fps 8 \ |
| --seed 4242 \ |
| --low-ram \ |
| --metadata \ |
| --output video.mp4 |
| ``` |
|
|
| ## Compatibility |
|
|
| Requires `mlx-gen >= 0.18.9`. |
|
|
| Generated with `mlx-gen 0.18.9`. |
|
|
| Use the `mlxgen` command and Python import path for new MLX-Gen projects. |
|
|
| ## Attribution |
|
|
| MLX-Gen is based on [mflux](https://github.com/filipstrand/mflux) by Filip Strand and the original mflux contributors. |
|
|
| Quantized and contributed by [@lpalbou](https://huggingface.co/lpalbou). |
|
|
