README.md

metadata

license: apache-2.0
base_model: Wan-AI/Wan2.2-TI2V-5B
library_name: mlx
pipeline_tag: text-to-video
tags:
  - mlx
  - apple-silicon
  - wan2.2
  - text-to-video
  - image-to-video
  - video-generation

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 id wan_ti2v_5b), dtype bfloat16.
• 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.