ComfyUI-JoyAI-Image-Edit

By judian17View on GitHub →

Native ComfyUI implementation of the JoyAI-Image family supporting single and multi-image image editing and text-to-image generation using JoyAI-Image models with Qwen3-VL support.

How much VRAM does ComfyUI-JoyAI-Image-Edit require?

Direct Answer: The ComfyUI node ComfyUI-JoyAI-Image-Edit requires a minimum base VRAM of 256MB 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:
256MB (0.3GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
HIGH

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

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Deploy on Cloud GPUs

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Related Custom Nodes

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

ComfyUI-JoyCaption-beta-one-hf-llava-Prompt_node
by judian17256MB VRAM
AIRedoon
by purpen256MB VRAM
BLIP Vision-Language Model Integration
by muhammederem128MB VRAM
BSS WD14 Batch Tagger
by Blacksnowskill128MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-JoyAI-Image-Edit require?

ComfyUI-JoyAI-Image-Edit requires a minimum of 256MB (0.3GB) 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-JoyAI-Image-Edit on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.2GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.4GB headroom

How can I reduce VRAM usage when running ComfyUI-JoyAI-Image-Edit?

ComfyUI-JoyAI-Image-Edit 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-JoyAI-Image-Edit in ComfyUI?

To install ComfyUI-JoyAI-Image-Edit: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/judian17/ComfyUI-JoyAI-Image-Edit, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.