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PocketAiHub/Wan2.2-T2V-A14B-MLX
Wan2.2-T2V-A14B-MLX is a text-to-video model from PocketAiHub. Use it when you need video from a text prompt. It is set up for mlx. The card lists the license as apache-2.0.
Apple-Silicon-native Q4 MLX packaging of Wan2.2 T2V A14B with dual high/low-noise experts, a bundled offline tokenizer, a shared T5/VAE, and a tested command-line runtime.
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Updated Aug 15, 2026
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From the Hugging Face model README
Apple-Silicon-native Q4 MLX packaging of Wan2.2 T2V A14B with dual high/low-noise experts, a bundled offline tokenizer, a shared T5/VAE, and a tested command-line runtime.
This is a community derivative assembled by PocketAI. It is not an official Wan-AI or SceneWorks release, and no endorsement is implied. PocketAI did not train the base model or perform the original SceneWorks conversion.
Wan-AI/Wan2.2-T2V-A14BSceneWorks/wan2.2-t2v-a14b-mlxmlx-video| Folder | Contents | Unique size |
|---|---|---|
common/ | UMT5-XXL encoder, tokenizer, Wan z16 VAE | 11.07 GiB |
q4/ | Q4 high/low-noise experts, group size 64 | 15.61 GiB |
Model data totals 26.68 GiB. The bundled runtime
resolves the shared support models from common/ automatically.
ffmpeg available on PATHhf auth login
hf download PocketAiHub/Wan2.2-T2V-A14B-MLX --revision main \
--local-dir pocketai-wan22-mlx-q4
cd pocketai-wan22-mlx-q4
python3 -m venv .venv
.venv/bin/pip install .
Install ffmpeg if needed:
brew install ffmpeg
.venv/bin/pocketai-wan-video \
--model-dir q4 \
--prompt "A chestnut horse runs across a sunlit field, side tracking camera, photorealistic." \
--width 512 --height 320 --num-frames 81 \
--steps 10 --guide-scale 3,4 --scheduler unipc \
--seed 42 --output-path horse.mp4
Wan uses 16 fps in this package. 81 frames encode to 5.0625 seconds.
Frame counts must follow 4n+1, and width/height should be divisible by 32.
.venv/bin/pocketai-wan-video \
--model-dir q4 \
--prompt "A paper boat moves across calm water." \
--width 256 --height 256 --num-frames 5 \
--steps 1 --guide-scale 1 --scheduler euler \
--no-compile --seed 2301 --output-path smoke.mp4
Apple M5 Max, 128 GB unified memory; identical prompt and seed; 512×320, 81 frames, 16 fps, 10 UniPC steps, guidance 3/4:
| Precision | End-to-end | Denoising | Max process RSS | Observed result |
|---|---|---|---|---|
| Q4 | 10:25 | 9:06 | 16.37 GiB | Fastest; good prompt adherence |
| Q8 | 11:17 | 10:07 | 29.46 GiB | Sharpest; best quality-oriented option |
| BF16 | 11:03 | 10:15 | 41.48 GiB | Q8-like speed; no quality win in this seed |
Q4 is the recommended default. Q8 is the higher-detail option. BF16 is included for experimentation and maximum numerical precision, not because one test establishes it as perceptually better.
Watch the synchronized comparison.
Machine-readable measurements are in
benchmark/metrics.json.
The model derivative is distributed under the Apache License 2.0 reproduced in
LICENSE. The bundled mlx-video runtime is MIT-licensed; its
license is reproduced in LICENSE-RUNTIME-MIT.
See THIRD_PARTY_NOTICES.md for attribution.