ComfyUI-ExtendIPAdapterClipVision

By vahlok-alunmidView on GitHub →

This extension provides two nodes to use with my experimental [a/ip-adapter finetune](https://civitai.com/models/1233692?modelVersionId=1390253) for NoobAI-XL style transfer. [a/Here](https://github.com/vahlok-alunmid/reForge-preprocessor_bigG_448) is the counterpart extension for Reforge WebUI.

How much VRAM does ComfyUI-ExtendIPAdapterClipVision require?

Direct Answer: The ComfyUI node ComfyUI-ExtendIPAdapterClipVision requires a minimum base VRAM of 2048MB and is optimized for GPUs with at least 6GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

High (2-4GB)
Base VRAM:
2048MB (2.0GB)
Recommended GPU:
6GB+ 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!

Deploy on High-Performance GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance GPUs on Vast.ai instantly.

🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

🚀 Deploy on RunPod

Frequently Asked Questions

How much VRAM does ComfyUI-ExtendIPAdapterClipVision require?

ComfyUI-ExtendIPAdapterClipVision requires a minimum of 2048MB (2.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 6GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.

Can I run ComfyUI-ExtendIPAdapterClipVision on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 8.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 8.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 12.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 19.6GB headroom

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

ComfyUI-ExtendIPAdapterClipVision 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-ExtendIPAdapterClipVision in ComfyUI?

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