JPS Custom Nodes for ComfyUI

By JPSView on GitHub →

Nodes: Various nodes to handle SDXL Resolutions, SDXL Basic Settings, IP Adapter Settings, Revision Settings, SDXL Prompt Styler, Crop Image to Square, Crop Image to Target Size, Get Date-Time String, Resolution Multiply, Largest Integer, 5-to-1 Switches for Integer, Images, Latents, Conditioning, Model, VAE, ControlNet

How much VRAM does JPS Custom Nodes for ComfyUI require?

Direct Answer: The ComfyUI node JPS Custom Nodes for ComfyUI requires a minimum base VRAM of 8192MB and is optimized for GPUs with at least 12GB of VRAM. Low VRAM mode is not supported for this node.

Very High (4-8GB)
Base VRAM:
8192MB (8.0GB)
Recommended GPU:
12GB+ VRAM
Low VRAM Mode:
✗ Not 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

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

Compatible Foundations

This node is verified to support or optimize workflows for the following foundation model families:

⚡ Stable Diffusion XL (SDXL)

Related Custom Nodes

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

ComfyUI-ForgeAPI-for-InstantID-workflow
by kreonxv8.0GB VRAM
ComfyUI-SEGAttention
by logtd8.0GB VRAM
Comfyroll Studio
by Suzie18.0GB VRAM
Comfyui FOCUS nodes
by DJ-Tribefull8.0GB VRAM
comfyui-colorfix-v3
by ihorpankin12.0GB VRAM

Frequently Asked Questions

How much VRAM does JPS Custom Nodes for ComfyUI require?

JPS Custom Nodes for ComfyUI requires a minimum of 8192MB (8.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 12GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run JPS Custom Nodes for ComfyUI on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 2.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 2.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 6.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 13.6GB headroom

How do I install JPS Custom Nodes for ComfyUI in ComfyUI?

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