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MiniMax H3 combines I2V models for enhanced quality and reference image integration

A new method called MiniMax H3 has been developed to improve the quality of image-to-video (I2V) generation by combining two existing UNets, FL2VA and REF2VA. The standard FL2VA excels at maintaining the quality of the initial frame but lacks the ability to incorporate additional reference images for elements like logos or specific props. Conversely, REF2VA supports multiple reference images but often results in lower video quality. The MiniMax H3 hybrid approach integrates these two, allowing for high-quality video generation while also enabling the precise inclusion of supplementary visual elements. AI

IMPACT Enhances control over AI video generation, allowing for precise integration of logos and specific frames.

RANK_REASON This describes a method for using existing models, not a new model release from a frontier lab.

Read on r/StableDiffusion →

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MiniMax H3 combines I2V models for enhanced quality and reference image integration

COVERAGE [1]

  1. r/StableDiffusion TIER_2 English(EN) · /u/Tokey_TheBear ·

    MiniMax H3: How to use a first image and reference images without losing I2V quality (hybrid FL+REF merge + prompting)

    <!-- SC_OFF --><div class="md"><p>H3 ships two video UNets, and they each only do half of what a lot of people actually want.</p> <p><code>fl2va</code> (I2VA / FL2VA) is the one that looks good. Give it a still and it will lock that still as the first frame. The catch is the I2V …