ComfyUI Extension: ComfyUI_RH_mammothmoda

Authored by HM-RunningHub

Created

Updated

4 stars

ComfyUI custom nodes for MammothModa2 text-to-image generation.

Custom Nodes (0)

    README

    ComfyUI_RH_mammothmoda

    ComfyUI custom nodes for MammothModa2 text-to-image generation.

    Features

    • Text-to-Image Generation: High-quality image synthesis using MammothModa2
    • Optimized Performance: INT8 quantization support for efficient inference
    • Flash Attention: Enhanced speed with flash_attention_2

    Installation

    Via ComfyUI Manager (Recommended)

    Search for "RunningHub Mammothmoda" in ComfyUI Manager and install.

    Manual Installation

    cd ComfyUI/custom_nodes
git clone https://github.com/HM-RunningHub/ComfyUI_RH_mammothmoda.git
cd ComfyUI_RH_mammothmoda
pip install -r requirements.txt

    Model Download

    Download the MammothModa2-Preview model from 🤗 HuggingFace and place it in:

    ComfyUI/models/MammothModa2-Preview/

    Usage

    1. Load Model: Use "RunningHub Mammothmoda Loader" node
    2. Generate Image: Connect to "RunningHub Mammothmoda T2I Sampler" node
    3. Configure: Set prompt, size (width/height), steps, and guidance scales
    4. Run: Execute workflow to generate images

    Nodes

    • RunningHub Mammothmoda Loader: Loads the MammothModa2 model
    • RunningHub Mammothmoda T2I Sampler: Generates images from text prompts

    Requirements

    • CUDA-capable GPU (24GB VRAM recommended)
    • PyTorch with CUDA support
    • flash-attn package

    Acknowledgement

    This project is based on MammothModa2 by ByteDance Research. We are grateful to the MammothModa team for their excellent work.

    Citation

    @misc{mammothmoda2025,
    title = {MammothModa2: Jointly Optimized Autoregressive-Diffusion Models for Unified Multimodal Understanding and Generation},
    author = {MammothModa Team},
    year = {2025},
    url = {https://github.com/bytedance/mammothmoda}
}

    License

    Apache-2.0