ModelTC/Minimax-H3-Turbo

Distill Minimax-H3 into 4 steps

What it solves

This project provides optimized LoRA checkpoints for the MiniMax-H3 model to enable faster video and audio generation. It reduces the number of inference steps (NFE) required to produce high-quality results, effectively "turbocharging" the generation process for text-to-video, image-to-video, and reference-to-video tasks.

How it works

It utilizes distilled LoRA checkpoints (ranging from 4 to 8 steps) that allow the model to generate content with significantly fewer transformer evaluations. The project supports multiple tasks:

  • T2VA/FL2VA: Text-to-video and audio or first-frame-to-video and audio.
  • Ref2VA: Reference-to-video and audio.

It includes specific resizing policies (match, max, diffusers) for reference images to ensure the input matches the training resolution and aspect ratio, which helps maintain visual consistency.

Who it’s for

  • AI artists and developers using MiniMax-H3 for video generation.
  • Users of the Diffusers library or ComfyUI who want faster inference times without sacrificing too much quality.

Highlights

  • Fast Inference: Offers 4-step and 8-step turbo models to speed up generation.
  • Flexible Integration: Provides checkpoints and workflows for both Diffusers and ComfyUI.
  • Multi-Task Support: Handles text-to-video, image-to-video, and reference-based video generation with accompanying audio.
  • Resolution Options: Includes models trained at different resolutions, such as 544p and 768p.

Related

  • Dispatch
    SDXL and Stable Diffusion Fast Inference with Latent Consistency LoRAs

    Hugging Face introduces LCM LoRAs, a method to enable high-quality image generation in 4 to 8 steps for SDXL and Stable Diffusion models, significantly reducing inference time.

  • Project
    hao-ai-lab/FastVideo

    A unified post-training and real-time inference framework designed to accelerate video generation through distillation and attention optimizations.

  • Project
    huangserva/ComfyUI_MiniMaxH3_Director

    A collection of ComfyUI workflows for MiniMax H3 Director, enabling text-to-video, image-to-video, and advanced video-to-video editing with reference materials.

  • Project
    antirez/h3.c

    A native Metal inference engine for MiniMax-H3 on Apple Silicon, enabling local text-to-video and text-to-audio generation with advanced memory and performance optimizations.

  • Project
    NVlabs/rcm

    A score-regularized continuous-time consistency model for distilling large video diffusion models, enabling high-quality, diverse video generation in 2-4 steps.