ComfyUI-Bagel
ComfyUI-Bagel is now available in ComfyUI, BAGEL is an open‑source multimodal foundation model with 7B active parameters (14B total) trained on large‑scale interleaved multimodal data. [w/Don't install together with neverbiasu/ComfyUI-BAGEL simultaneously.]
How much VRAM does ComfyUI-Bagel require?
Direct Answer: The ComfyUI node ComfyUI-Bagel requires a minimum base VRAM of 128MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.
- Base VRAM:
- 128MB (0.1GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- MEDIUM
Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
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What Python packages are required for ComfyUI-Bagel?
Direct Answer: Running ComfyUI-Bagel requires installing the following Python package dependencies: accelerate>=0.34.0, decord==0.6.0, einops==0.8.1, flash_attn==2.5.8, huggingface_hub==0.29.1, 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, torch==2.5.1, torchvision==0.20.1, transformers==4.49.0, wandb. Ensure your ComfyUI environment has these packages active before launching.
accelerate>=0.34.0
decord==0.6.0
einops==0.8.1
flash_attn==2.5.8
huggingface_hub==0.29.1
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
torch==2.5.1
torchvision==0.20.1
transformers==4.49.0
wandbInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI-Bagel require?
ComfyUI-Bagel requires a minimum of 128MB (0.1GB) of VRAM for base operation. For optimal performance, a GPU with at least 4GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.
Can I run ComfyUI-Bagel on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.3GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.5GB headroom
What PyTorch version does ComfyUI-Bagel need?
ComfyUI-Bagel requires the following PyTorch-related packages: torch==2.5.1, torchvision==0.20.1. Ensure your ComfyUI environment has these installed. Ensure your PyTorch installation matches your CUDA version (use torch.version.cuda to check).
What Python packages are required for ComfyUI-Bagel?
To run ComfyUI-Bagel, you need to install: accelerate>=0.34.0, decord==0.6.0, einops==0.8.1, flash_attn==2.5.8, huggingface_hub==0.29.1, 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, torch==2.5.1, torchvision==0.20.1, transformers==4.49.0, wandb. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI-Bagel?
ComfyUI-Bagel supports low VRAM mode. To reduce memory usage: (1) Enable --lowvram or --medvram flags in ComfyUI, (2) Reduce batch size to 1, (3) Use fp16 or fp8 precision if supported, (4) Close other GPU applications.
How do I install ComfyUI-Bagel in ComfyUI?
To install ComfyUI-Bagel: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/Yuan-ManX/ComfyUI-Bagel, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.