ComfyUI DreamLight Node

By APZmediaView on GitHub →

Comfyui wrapper of Dreamlight by yongliu20

How much VRAM does ComfyUI DreamLight Node require?

Direct Answer: The ComfyUI node ComfyUI DreamLight Node 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!

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 DreamLight Node?

Direct Answer: Running ComfyUI DreamLight Node requires installing the following Python package dependencies: comfyui, diffusers==0.33.1, huggingface_hub, numpy, pillow, python-dotenv, safetensors, torch>=2.0.1, transformers. This node specifically requires PyTorch version 2.0.1 or newer.

requirements.txt
comfyui
diffusers==0.33.1
huggingface_hub
numpy
pillow
python-dotenv
safetensors
torch>=2.0.1
transformers

Interactive Setup & Dependency Resolver

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

Special Environment Requirements:

Requires PyTorch version 2.0.1+.

To update PyTorch for your selected setup, run:
# Loading PyTorch command...

Related Custom Nodes

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

VLM_nodes
by gokayfem256MB VRAM
ComfyUI Level Pixel
by LevelPixel128MB VRAM
ComfyUI Level Pixel Advanced
by LevelPixel128MB VRAM
ComfyUI-Qwen-VL
by SXQBW4.0GB VRAM
Marigold depth estimation in ComfyUI
by kijai128MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI DreamLight Node require?

ComfyUI DreamLight Node 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 DreamLight Node 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 DreamLight Node need?

ComfyUI DreamLight Node requires the following PyTorch-related packages: torch>=2.0.1. 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 DreamLight Node?

To run ComfyUI DreamLight Node, you need to install: comfyui, diffusers==0.33.1, huggingface_hub, numpy, pillow, python-dotenv, safetensors, torch>=2.0.1, transformers. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI DreamLight Node?

ComfyUI DreamLight Node 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 DreamLight Node in ComfyUI?

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