ComfyUI_LucidFlux

By smthemexView on GitHub →

ComfyUI_LucidFlux:Caption-Free Universal Image Restoration with a Large-Scale Diffusion Transformer，you can use it in ComfyUI

How much VRAM does ComfyUI_LucidFlux require?

Direct Answer: The ComfyUI node ComfyUI_LucidFlux requires a minimum base VRAM of 12288MB and is optimized for GPUs with at least 24GB of VRAM. Low VRAM mode is not supported for this node.

Extreme (>8GB)
Base VRAM:
12288MB (12.0GB)
Recommended GPU:
24GB+ 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

What Python packages are required for ComfyUI_LucidFlux?

Direct Answer: Running ComfyUI_LucidFlux requires installing the following Python package dependencies: accelerate, attr, attrs, boto3>=1.34, botocore>=1.34, einops, fvcore, hydra-core==1.3.2, imageio, iopath, loguru, numpy, pandas, pynvml, termcolor, torch, torchaudio, torchvision, tqdm, transformers, wandb. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
accelerate
attr
attrs
boto3>=1.34
botocore>=1.34
einops
fvcore
hydra-core==1.3.2
imageio
iopath
loguru
numpy
pandas
pynvml
termcolor
torch
torchaudio
torchvision
tqdm
transformers
wandb

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:

ComfyUI_GRAG_Image_Editing
by smthemex128MB VRAM
ComfyUI_InteractAvatar
by smthemex256MB VRAM
ComfyUI_JoyAI_Image
by smthemex128MB VRAM
ComfyUI_PhotoDoodle
by smthemex128MB VRAM
ComfyUI_TwinFlow
by smthemex128MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI_LucidFlux require?

ComfyUI_LucidFlux requires a minimum of 12288MB (12.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 24GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run ComfyUI_LucidFlux on an RTX 3060, RTX 4070, or RTX 4090?

❌ RTX 3060 (12GB): Insufficient VRAM (needs 12.0GB minimum). ❌ RTX 4070 (12GB): Insufficient VRAM (needs 12.0GB minimum). ⚠️ RTX 4070 Ti (16GB): Can run, but may experience performance issues or require low VRAM mode. ✅ RTX 4090 (24GB): Yes, fully compatible with 9.6GB headroom

What PyTorch version does ComfyUI_LucidFlux need?

ComfyUI_LucidFlux requires the following PyTorch-related packages: torch, torchaudio, torchvision. 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_LucidFlux?

To run ComfyUI_LucidFlux, you need to install: accelerate, attr, attrs, boto3>=1.34, botocore>=1.34, einops, fvcore, hydra-core==1.3.2, imageio, iopath, loguru, numpy, pandas, pynvml, termcolor, torch, torchaudio, torchvision, tqdm, transformers, wandb. You can install these using pip or add them to your requirements.txt file.

How do I install ComfyUI_LucidFlux in ComfyUI?

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