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wan2.2-t2v-a14b-mlx
SceneWorks/wan2.2-t2v-a14b-mlx
wan2.2-t2v-a14b-mlx is a text-to-video model from SceneWorks. 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.
Native MLX (Apple Silicon) conversion of Wan-AI/Wan2.2-T2V-A14B, packaged as a turnkey, self-contained snapshot for the SceneWorks app.
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Repo size
209 GB
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.safetensors209 GB · 100%
At a glance
- Task
- Text-to-Video
- Library
- mlx
- License
- apache-2.0
- Model type
- t2v
- Access
- Public
- Created
- Jun 14, 2026
- Updated
- Jul 5, 2026
- SHA
- 991eb255
Base models
Model card
From the Hugging Face model README
Wan2.2-T2V-A14B — MLX (bf16)
Native MLX (Apple Silicon) conversion of Wan-AI/Wan2.2-T2V-A14B, packaged as a turnkey, self-contained snapshot for the SceneWorks app.
Wan2.2 A14B is a high/low-noise mixture-of-experts text-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 |
Quantization (Q4/Q8) is applied at load by the engine — these weights are full bf16.
Provenance
- Source:
Wan-AI/Wan2.2-T2V-A14B(Apache-2.0). - Converted with: the SceneWorks native Rust MLX converter (
mlx-gen-wan, converter idwan_t2v_14b), dtypebfloat16, 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.
- Task
- Text-to-Video
- Library
- mlx
- Type
- t2v
- License
- apache-2.0
- Created
- Jun 14, 2026
- Updated
- Jul 5, 2026