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    Minimax-h3_Singularity - v2 int8
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    🌐 Online Interactive Demo

    Test the model directly in your browser without local GPU setup:

    πŸ‘‰ Try it on RunningHub Workflows (https://www.runninghub.ai/post/2096339589492432897/?inviteCode=rh-v1559)

    πŸ“– Model Overview

    Minimax-h3_Singularity is a comprehensive fine-tuned fusion model specialized in enhancing the capabilities of MiniMax-H3. Designed as a versatile multimodal video generation model, it natively supports Text-to-Video (T2V), Image-to-Video (I2V), Reference-to-Video (Ref2V), and Video-to-Video (V2V) workflows within ComfyUI.

    Built upon a strategic fusion of key checkpoints (including ref, fl, b25-49, etc.), this model underwent deep high-step fine-tuning. To preserve the original model's foundational strengths and broad generalization while solving artifacts introduced by high-step training, we spent 3 full days on precise model pruning and weight optimization. The result is a clean, sharp, and highly dynamic video generation model.

    ✨ Key Improvements & Features

    🎬 HDR Image Quality & Blur Reduction: Fine-tuned on high-dynamic-range (HDR) video datasets to significantly enhance visual clarity and eliminate motion blur during high-speed action.

    πŸ‘€ Distant Face Restoration: Drastically reduces facial distortion, blurriness, and collapsing in medium-to-long shots.

    🎨 Clean & De-Oiled Aesthetic: Removes heavy, unnatural skin shine and glossy textures, rendering natural lighting and photorealistic materials.

    βš”οΈ Enhanced Dynamic Motion: Boosts motion fluidity and physical impact, excels in complex action sequences such as sword fighting and martial arts/melee combat.

    🌌 VFX & Fantasy Effects: Specifically optimized for fantasy spellcasting, particle aura, and magical combat visual effects.

    🎭 Expressive Facial Dynamics: Captures subtle facial expressions and emotional nuances more vividly.

    πŸ“Ή Cinematography & Camera Control: Strengthens responsiveness to camera movements (pan, tilt, zoom, tracking shots) for cinematic storytelling.

    πŸ›‘οΈ Full Base Capability Retention: 100% preserves MiniMax-H3's original prompt adherence, style adaptability, and base multimodal generation strength.

    πŸ’‘ Usage Guide

    β€’ Multimodal Pipeline Support

    This model is fully compatible with ComfyUI and supports:

    • Text-to-Video (T2V)

    • Image-to-Video (I2V)

    • Reference-to-Video (Ref2V)

    • Video-to-Video (V2V)

    β€’ πŸš€ Recommended Acceleration LoRA

    For high-speed generation with minimal quality loss, we strongly recommend pairing with:

    • minimax_h3_ref2v_turbo_4step_v0.1 (Enables 4-step fast inference)

    πŸ™ Acknowledgements

    Special thanks to the MiniMax open-source team for creating and releasing the powerful MiniMax-H3 multimodal video model, providing a solid foundation for the open-source community! 🀝

    🀝 Community & Commercial Inquiries

    Feel free to connect for tutorials, community discussions, workflow sharing, or commercial collaborations:

    β€’ YouTube Channel: AIGC-Singularity (https://youtube.com/@AIGC-Singularity)

    β€’ Bilibili Channel: AIGC-Singularity Space

    β€’ QQ Group 1: 1058747239 (Request to join)

    β€’ QQ Group 2: 1072010342 (Request to join)

    β€’ Business Inquiries (WeChat): aigctyd

    β€’ Email: [email protected]

    Description

    FAQ

    UNet
    MiniMax H3

    Details

    Downloads
    241
    Platform
    CivitAI
    Platform Status
    Available
    Created
    10/21/2026
    Updated
    10/23/2026
    Deleted
    -

    Files

    minimaxH3Singularity_v2Int8.safetensors

    Mirrors