---

license: other license_name: minimax-h3-community-license-agreement license_link: https://huggingface.co/MiniMaxAI/MiniMax-H3/blob/main/LICENSE base_model:

• alibaba-pai/MiniMax-H3-Acc-LoRAs
• MiniMaxAI/MiniMax-H3 library_name: videox_fun pipeline_tag: text-to-video

---

MiniMax-H3-Acc-LoRAs

Introduction

We apply Parallel Decoding Distillation (PDD) 1 to MiniMax-H3, enabling efficient video generation in only a few inference steps.

For more details, please refer to our GitHub repo.

Name	Base Model	Hugging Face	Description
MiniMax-H3-FL2VA-Acc-8Step.safetensors	MiniMax-H3 (FL2VA)	🤗Link	Official 8 Step Acc LoRA (rank=64 and network_alpha=64 in BF16) for MiniMax-H3 (FL2VA).
MiniMax-H3-Ref2VA-Acc-8Step.safetensors	MiniMax-H3 (Ref2VA)	🤗Link	Official 8 Step Acc LoRA (rank=64 and network_alpha=64 in BF16) for MiniMax-H3 (Ref2VA).

Demo

FL2VA (768p)

Ref2VA

[!NOTE] The above test cases are from Minimax-H3-Turbo. Videos are generated with a LoRA weight of 1.0 at both 4 and 8 NFE.

Quick Start

Set model_path and pdd_lora_path to the MiniMax-H3 model and the matching acceleration LoRA checkpoint in predict_t2v.py for FL2VA or predict_ref2v.py for Ref2VA, then run the corresponding script. Each example uses apply_pdd_lora to load the checkpoint and derive the required number of inference steps from its configuration.

[!NOTE] These scripts use Diffusers' MiniMax-H3 ModularPipeline and require diffusers >= 0.40.0.

Reference