ComfyUI-Molmo

By CY-CHENYUEView on GitHub →

Use of the molmo model.Generate detailed image descriptions and analysis using Molmo models in ComfyUI.

How much VRAM does ComfyUI-Molmo require?

Direct Answer: The ComfyUI node ComfyUI-Molmo 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.

High (2-4GB)
Base VRAM:
128MB (0.1GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
MEDIUM

Interactive VRAM Compatibility Estimator

Estimated Total VRAM: 3.00 GBTarget: 8 GB
✅ Comfortable Fit

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-Molmo?

Direct Answer: Running ComfyUI-Molmo requires installing the following Python package dependencies: accelerate>= 0.26.0, bitsandbytes, huggingface_hub, numpy>= 1.24.4, tensorflow, torchvision>= 0.19.1, transformers>= 4.43.3. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
accelerate>= 0.26.0
bitsandbytes
huggingface_hub
numpy>= 1.24.4
tensorflow
torchvision>= 0.19.1
transformers>= 4.43.3

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

ComfyUI-FramePack-HY
by CY-CHENYUE4.0GB VRAM
ComfyUI-MiniCPM-Plus
by CY-CHENYUE256MB VRAM
AITocha Vision
by aitocha128MB VRAM
AI_Text_Comfyui
by Zch6111256MB VRAM
AK XZ Axis (XY for any KSampler)
by akawana256MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-Molmo require?

ComfyUI-Molmo 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-Molmo 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-Molmo need?

ComfyUI-Molmo requires the following PyTorch-related packages: torchvision>= 0.19.1. 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-Molmo?

To run ComfyUI-Molmo, you need to install: accelerate>= 0.26.0, bitsandbytes, huggingface_hub, numpy>= 1.24.4, tensorflow, torchvision>= 0.19.1, transformers>= 4.43.3. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI-Molmo?

ComfyUI-Molmo 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-Molmo in ComfyUI?

To install ComfyUI-Molmo: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/CY-CHENYUE/ComfyUI-Molmo, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.