ComfyUI-J

By JannchieView on GitHub →

This is a completely different set of nodes than Comfy's own KSampler series. This set of nodes is based on Diffusers, which makes it easier to import models, apply prompts with weights, inpaint, reference only, controlnet, etc.

How much VRAM does ComfyUI-J require?

Direct Answer: The ComfyUI node ComfyUI-J 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

What Python packages are required for ComfyUI-J?

Direct Answer: Running ComfyUI-J requires installing the following Python package dependencies: compel, diffusers, numpy. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
compel
diffusers
numpy

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:

AegisFlow Utility Nodes
by Aegis722.0GB VRAM
Anima Block Compile
by sorryhyun128MB VRAM
Anyline
by TheMistoAI2.0GB VRAM
Comfy-Photoshop-SD
by AbdullahAlfaraj2.0GB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-J require?

ComfyUI-J 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-J 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

What Python packages are required for ComfyUI-J?

To run ComfyUI-J, you need to install: compel, diffusers, numpy. You can install these using pip or add them to your requirements.txt file.

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

ComfyUI-J 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-J in ComfyUI?

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