wan2.2-i2v-a14b-diffusers-bf16

This repository contains BF16 MLX-Gen saved weights for Wan-AI/Wan2.2-I2V-A14B-Diffusers. It is designed for local Apple Silicon inference with mlx-gen.

It uses the mflux/MLX saved-weight layout. It is not a Diffusers or Transformers from_pretrained() checkpoint.

Source Model

Original model: Wan-AI/Wan2.2-I2V-A14B-Diffusers.

This prepared derivative follows the Apache 2.0 license of the source model.

Precision

This package stores the Wan A14B I2V transformer and VAE weights for MLX-Gen BF16 runtime use. The UMT5 text encoder, scheduler metadata, tokenizer files, model index, and a public spacecraft example image are included in the prepared folder.

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
This 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
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

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.

python -m pip install -U mlx-gen

mlxgen download --model AbstractFramework/wan2.2-i2v-a14b-diffusers-bf16

mlxgen generate \
  --model AbstractFramework/wan2.2-i2v-a14b-diffusers-bf16 \
  --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 by Filip Strand and the original mflux contributors.

Prepared and contributed by @lpalbou.

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