AI BriefingPickMiniMax-H3-Acc-LoRAs: MiniMax-H3 Accelerated LoRA: High-Quality Video Generation in 8 Inference Steps
alibaba-pai/MiniMax-H3-Acc-LoRAs
About the project
By applying Parallel Decoding Distillation, this project significantly boosts the video generation speed of the MiniMax-H3 model. Unlike previous methods that required dozens of inference steps, it produces high-quality videos in just 8 steps.
It provides LoRA weights optimized for two modes: FL2VA and Ref2VA. These are BF16 checkpoints with rank 64 and network_alpha 64 settings, ready for use with the VideoX Fun library and Diffusers version 0.40.0 or higher.
This offers a practical solution for developers frustrated by slow video generation due to limited GPU resources. The focus is on reducing computational costs while maintaining quality comparable to Turbo mode.
alibaba-pai/MiniMax-H3-Acc-LoRAs
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