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[Community Release] MiniMax-H3-PTD-LoRAs: 4-Step & 8-Step Video Generation Accelerators

The Taobao Content AI Team released MiniMax-H3-PTD-LoRAs on Hugging Face, a set of few-step video generation acceleration weights that bring 4-step and 8-step inference to the 33B-parameter MiniMax-H3 model. The LoRA adapters were trained by applying the Parametric Trajectory Distillation for Few-Step Video Generation method from Lan Feng et al. (2026) to MiniMax-H3, and the team included a quick-start inference script in the Hugging Face model card.

read1 min views2 publishedOct 20, 2026

Hi everyone,

We are excited to share MiniMax-H3-PTD-LoRAs, a collection of few-step video generation acceleration weights trained by our team.

These weights are trained based on the awesome method proposed in the recent paper “Parametric Trajectory Distillation for Few-Step Video Generation” (by Lan Feng et al., 2026). We applied their PTD method to the MiniMax-H3 33B model and successfully baked it into lightweight LoRA adapters!

 **Hugging Face Repo:** [huggingface.co](http://huggingface.co)

 **Credits to the Original Paper:** [github.io](http://github.io)

What’s Inside?

We’ve provided a quick-start inference script in our Hugging Face Model Card. Feel free to try them out and let us know your feedback or show us your generated videos!

Kudos to the original authors for such an amazing distillation method!

Best, Taobao Content AI Team

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