ComfyUI_RH_mammothmoda

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.

• Original Project: MammothModa2
• Model: MammothModa2-Preview
• License: Apache-2.0

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