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wan2.2-ti2v-5b-mlx
SceneWorks/wan2.2-ti2v-5b-mlx
wan2.2-ti2v-5b-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-TI2V-5B, packaged as a turnkey, self-contained snapshot for the SceneWorks app. Downloading this repo replaces the previous "download the source checkpoint and co…
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At a glance
- Task
- Text-to-Video
- Library
- mlx
- License
- apache-2.0
- Model type
- ti2v
- Access
- Public
- Created
- Jun 14, 2026
- Updated
- Jul 6, 2026
- SHA
- bb1b0552
Base models
Model card
From the Hugging Face model README
Wan2.2-TI2V-5B — MLX (bf16)
Native MLX (Apple Silicon) conversion of Wan-AI/Wan2.2-TI2V-5B, packaged as a turnkey, self-contained snapshot for the SceneWorks app. Downloading this repo replaces the previous "download the source checkpoint and convert on-device" first-run step.
Contents (self-contained, bf16)
| file | what |
|---|---|
model.safetensors | Wan2.2 TI2V-5B DiT transformer |
t5_encoder.safetensors | UMT5-XXL text encoder |
vae.safetensors | Wan z48 VAE |
tokenizer.json | UMT5 tokenizer |
config.json | architecture config |
Quantization (Q4/Q8) is applied at load by the engine — these weights are full bf16, so one artifact serves every quant tier.
Provenance
- Source:
Wan-AI/Wan2.2-TI2V-5B(Apache-2.0). - Converted with: the SceneWorks native Rust MLX converter (
mlx-gen-wan, converter idwan_ti2v_5b), dtypebfloat16. - No re-quantization; lean snapshot (excludes diffusers-format directories the MLX engine never 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
- ti2v
- License
- apache-2.0
- Created
- Jun 14, 2026
- Updated
- Jul 6, 2026