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ComfyUI Serverless Deployment

This repository contains a Docker configuration for running a ComfyUI workflow with the flux-schnell model and RealESRGAN_x2 upscaler in a serverless environment.

Included Components

  • Base Image: RunPod ComfyUI worker (5.1.0-base)
  • Custom Nodes: KJNodes
  • Models:
    • flux1-schnell-fp8.safetensors (FLUX1 checkpoint)
    • RealESRGAN_x2.pth (upscaler)

Workflow

This Docker image is designed to run the "flux-schnell-RealESRGAN_x2" ComfyUI workflow. The workflow leverages the FLUX1 model for image generation and the RealESRGAN_x2 upscaler for enhancing the output quality.

Usage

Local Development

To build and run the Docker image locally:

# Build the Docker image
docker build -t comfyui-flux-schnell .

# Run the container
docker run -p 8188:8188 comfyui-flux-schnell

Deploying on RunPod

  1. Push this repository to your GitHub account
  2. Create a new RunPod template using this repository URL
  3. Deploy a new pod using the template
  4. Access the ComfyUI interface through the exposed port (typically 8188)

Docker Details

The Dockerfile:

  • Uses the RunPod ComfyUI worker as a base image
  • Installs KJNodes custom nodes
  • Downloads the flux1-schnell-fp8 model
  • Downloads the RealESRGAN_x2 upscaler model

Development

To modify this setup:

  1. Update the Dockerfile to include additional models or custom nodes
  2. Build and test locally
  3. Push changes to this repository
  4. Redeploy your RunPod instance

License

Please respect the licenses of all included models and software.

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Dockerized ComfyUI workflow: flux-schnell-RealESRGAN_x2 (2).json

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