ComfyUI OOTDiffusion

Name: ComfyUI OOTDiffusion
Author: AuroBit

A ComfyUI custom node that simply integrates the [a/OOTDiffusion](https://github.com/levihsu/OOTDiffusion) functionality.

VRAM Requirements

Direct Answer: The ComfyUI node ComfyUI OOTDiffusion 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

1. Your GPU VRAM:

2. Base Model Weight:

3. Target Resolution:

4. ComfyUI Optimization launch argument:

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

Python Dependencies

Direct Answer: Running ComfyUI OOTDiffusion requires installing the following Python package dependencies: accelerate, diffusers==0.24.0, einops, gradio, matplotlib, ninja, numpy, onnxruntime, opencv-python, pillow, scikit-image, scipy, torch, torchvision, tqdm, transformers. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt

accelerate
diffusers==0.24.0
einops
gradio
matplotlib
ninja
numpy
onnxruntime
opencv-python
pillow
scikit-image
scipy
torch
torchvision
tqdm
transformers

🛠️ Interactive Setup & Dependency Resolver

Operating System:

Environment Type:

Run this terminal command in your ComfyUI root folder:

# Loading command...