DFloat11实现已合并到BAGEL主节点： https://github.com/neverbiasu/ComfyUI-BAGEL
A ComfyUI custom node package based on the BAGEL-7B-MoT multimodal model.
支持 dfloat11 压缩规格模型，24G可跑全量无损画质，刀黄行动（手刃黄夹克）！
Support dfloat11 quantization specification model, 24G can run full lossless image quality
24G全量加载模型无需卸载，秒级出图（低于1分钟）
about dfloat11
https://github.com/LeanModels/DFloat11 DFloat11 is a lossless compression framework that reduces the size of Large Language Models (LLMs) by approximately 30% while preserving bit-for-bit identical outputs to the original model. It enables efficient GPU inference on resource-constrained hardware without sacrificing accuracy.
佬杨同志 @wikeeyang 手撸 node.py 代码,现已支持加载DF11规格模型
- 需要安装 dfloat11[cuda12] 依赖包。
- 安装 ComfyUI-BAGEL 插件(已有则不需要重装)。
- 把原来的 node.py 文件重命名进行备份。
- 用本仓库的 node.py 替换。
- 启动 ComfyUI，会比原来插件增加了一个 DF11 模型的加载节点，其它不变。
requirements.txt 更新DF11
decord>=0.6.0 einops>=0.8.1 huggingface_hub matplotlib>=3.7.0 numpy>=1.24.4 opencv_python>=4.7.0.72 pyarrow>=11.0.0 PyYAML>=6.0.2 Requests>=2.32.3 safetensors>=0.4.5 scipy>=1.10.1 sentencepiece>=0.1.99 transformers>=4.51.0 accelerate>=0.34.0 dfloat11[cuda12]
BAGEL is an open-source multimodal foundation model with 7B active parameters (14B total) that adopts a Mixture-of-Transformer-Experts (MoT) architecture. It is designed for multimodal understanding and generation tasks, outperforming top-tier open-source VLMs like Qwen2.5-VL and InternVL-2.5 on standard multimodal understanding leaderboards, and delivering text-to-image quality competitive with specialist generators such as SD3.
- Text-to-Image Generation: Generate high-quality images using natural language prompts
- Image Editing: Edit existing images based on textual descriptions
- Image Understanding: Perform Q&A and analysis on images
- Reasoning Process Display: Optionally display the model's reasoning process
The BAGEL-7B-MoT model will be automatically downloaded to models/bagel/ when first used. You can also manually download it:
# Clone model using git lfs (recommended)
git lfs install
git clone https://huggingface.co/ByteDance-Seed/BAGEL-7B-MoT models/bagel/BAGEL-7B-MoT
# Or use huggingface_hub
pip install huggingface_hub
python -c "from huggingface_hub import snapshot_download; snapshot_download(repo_id='ByteDance-Seed/BAGEL-7B-MoT', local_dir='models/bagel/BAGEL-7B-MoT')"Install dependencies:
pip install -r requirements.txtRestart ComfyUI to load the new nodes.
Generate high-quality images from text descriptions. Suitable for creative design and content generation.
Edit existing images based on textual descriptions, supporting local modifications and style adjustments.
Analyze and answer questions about image content, suitable for content understanding and information extraction.
This project is licensed under the Apache 2.0 License. Please refer to the official license terms for the use of the BAGEL model.
Contributions are welcome! Please submit issue reports and feature requests. If you wish to contribute code, please create an issue to discuss your ideas first.