Tencent-Hunyuan

    Tencent-Hunyuan/HunyuanImage-3.0

    HunyuanImage-3.0: A Powerful Native Multimodal Model for Image Generation

    backend
    image-generation
    native-multimodal-model
    Python
    NOASSERTION
    3.3K stars
    192 forks
    3.3K GitHub watchers
    Updated Nov 5, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    The project lists 8 contributors on GitHub.

    Use Cases & Benefits

    • Delivers a unified autoregressive multimodal model for high-quality text-to-image and image-to-image generation with advanced reasoning capabilities.
    • Offers the largest open-source Mixture of Experts image generation model with 80 billion parameters, enabling superior semantic accuracy and photorealistic image quality.
    • Use for generating photorealistic images from complex text prompts with enhanced prompt rewriting and reasoning for improved visual fidelity.
    • Use for intelligent image editing and creative image-to-image transformations including style modification, object addition/removal, and multi-image fusion.
    • Use for deploying efficient, accelerated inference pipelines with distilled checkpoints and vLLM support for faster generation in production environments.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Other

    GitHub could not identify this license; read the LICENSE file before depending on it.

    Community files

    • README: present

    Watch-outs

    • License not identified by GitHub; read the LICENSE file before depending on it.
    • No GitHub releases; pin a commit or tag instead of a release.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    If you develop/use HunyuanImage-3.0 in your projects, welcome to let us know.

    Excerpt from the Tencent-Hunyuan/HunyuanImage-3.0 README on GitHub (NOASSERTION license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    192+13

    Open issues

    56+5

    Compared with peers in Backend

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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