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https://github.com/spiffgreen/cuda_pytorch_comfyui_jupyter

A docker image / script for a comfyui & jupyter notebook server
https://github.com/spiffgreen/cuda_pytorch_comfyui_jupyter

akash containers docker machine-learning ml mlops

Last synced: about 1 month ago
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A docker image / script for a comfyui & jupyter notebook server

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# Custom Comfyui Image

The provided Dockerfile is designed to run a ComfyUI instance with some specific dependencies and Jupyter notebook. ComfyUI is a node-based user interface for Stable Diffusion, a popular AI model for generating images from text prompts. This setup utilizes the NVIDIA CUDA base image to leverage GPU acceleration for deep learning tasks.

## Requirements
- Docker Environment
- Nvidia GPU
- Atleast 30 GB storage space, 16GB Memory

## How to run

> First note this, https://docs.github.com/en/actions/using-github-hosted-runners/using-larger-runners/about-larger-runners

The requirements.txt file is a compiled list of all libraries for the custom nodes picked.

### Build and run locally
```bash
# Clone repo
git clone [email protected]:SpiffGreen/cuda_pytorch_comfyui_jupyter.git
cd cuda_pytorch_comfyui_jupyter

# Build image
docker build -t custom-comfyui:latest .

# Run container
docker run -p 80:80 -p 8888:8888 custom-comfyui
```

### Running
```bash
# Simply pull and run from docker hub
docker run spiffgreen/cuda_pytorch_comfyui_jupyter
```

## Author
- Spiff Jekey-Green ([SpiffGreen](https://github.com/spiffgreen))