# Mind-blown by this new Ref2VA acceleration LoRA for MiniMax-H3! 🤯 (6-8 steps, better quality than 40-step teacher)

> Source: <https://discuss.huggingface.co/t/mind-blown-by-this-new-ref2va-acceleration-lora-for-minimax-h3-6-8-steps-better-quality-than-40-step-teacher/191003#post_1>
> Published: 2026-10-25 16:46:29+00:00

Hey everyone,

I’ve been testing the MiniMax-H3 Ref2VA workflow with the new acceleration LoRA (PTD + RefAsymOPD), which cuts steps from 40 down to 6–8 while surprisingly improving quality and realism.

You can find the model weights and custom nodes here: [taobao-content-ai/MiniMax-H3-PTD-RefAsymOPD-LoRAs](https://huggingface.co/taobao-content-ai/MiniMax-H3-PTD-RefAsymOPD-LoRAs)

 **Why it stands out**

Unlike typical distillation methods that sacrifice quality for speed, RefAsymOPD is optimized for reference-to-video, reducing background blur and AI artifacts. The sharpness and background plausibility at just 6–8 steps are incredible, feeling way less “plastic” than expected.

 **Available Variants & Usage**

It is a drop-in replacement compatible with both **Diffusers** and **ComfyUI**. If you already have your MiniMax-H3 environment set up, you just need to swap the checkpoint file name.

Getting a 5x speedup while maintaining (or even improving) full-quality results feels like pure magic. Highly recommended for open-source devs!