<h1 id="minimax_h3_ref2va_xueluo_int8_convrot">minimax_h3_ref2va_XUELUO_int8_convrot</h1><code>minimax_h3_ref2va_XUELUO_int8_convrot</code> is a video generation model deeply optimized with Layer Merging, built upon the INT8 version of the MiniMax-H3 model library.<blockquote>Credits: Special thanks to @雪落眉间路已远 for providing the core technical approach. He is currently using this H3 model to create AI short dramas on Bilibili. Check out his work here: <a target="_blank" rel="ugc" href="https://space.bilibili.com/239833806">Bilibili Space</a>.</blockquote>This model addresses the key pain points of original video generation models regarding image quality and stability. By combining the visual detail advantages of <code>fl2va</code> with the structural stability of <code>ref2va</code>, it delivers an enhanced Reference-to-Video experience.<hr />🚀 Workflow (Civitai):<ul><li>Model-Configured Dual-Sampling Workflow: <a target="_blank" rel="ugc" href="https://civarchive.com/models/2864569/minimaxh3ref2vahqdual-samplingworkflownew">Minimax_H3_ref2va_HQ+Dual-Sampling+Workflow+(New) - v1.0 | Hailuo H3 by MiniMax Workflows | Civitai</a></li></ul><h2 id="core-improvements-and-features">🔥 Core Improvements &amp; Features</h2><ul><li>Cross-Model Layer Merging: Extensive comparisons showed that <code>fl2va</code> significantly outperforms <code>ref2va</code> in visual detail. This model precisely extracts the core feature layers (Layers 25–49) from <code>fl2va</code> and seamlessly merges them into the <code>ref2va</code> architecture.</li><li>Dual Breakthrough in Quality &amp; Stability: Combines the high resolution and delicate visuals of <code>fl2va</code> with the temporal consistency and subject stability of <code>ref2va</code>, drastically reducing artifacting and distortion.</li><li>Low-Step (Fast LoRA) Compatibility: Demonstrates strong robustness, maintaining extremely stable video output even when paired with a 4-Step acceleration LoRA for high-speed rendering.</li><li>INT8 Quantization &amp; Lightweight Execution: Built on INT8 quantization, it significantly reduces VRAM requirements while preserving expressive capability, making it well-suited for consumer GPUs.</li></ul><hr /><h2 id="recommended-settings">💡 Recommended Settings</h2>ParameterSettingBase ModelMiniMax-H3 INT8Generation ModeRef2VA / Reference-to-VideoSampling Steps4 – 20 steps (Supports 4-step LoRA ultra-fast rendering)Best Used ForPairing with high-detail reference images/videos for high-quality, dynamically stable video generation<hr /><h2 id="acknowledgements-and-references">🙏 Acknowledgements &amp; References</h2>Special thanks to the original model creators and the ComfyUI community for their foundational work:<ul><li>MiniMax-H3 Base Model: <a target="_blank" rel="ugc" href="https://huggingface.co/MiniMaxAI/MiniMax-H3">MiniMaxAI/MiniMax-H3</a></li><li>Comfy Implementation: <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/MiniMax-H3">Comfy-Org/MiniMax-H3</a></li></ul>

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