We have launch a online service for ComfyFlowApp, you could develop app online and share it with your friends and anyone. WebSite: ComfyFlow

📌 Welcome to ComfyFlowApp

ComfyFlowApp is a tool to help you develop AI webapp from ComfyUI workflow and share to others.

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📌 What is ComfyFlowApp?

ComfyFlowApp is an extension tool for ComfyUI, making it easy to create a user-friendly application from a ComfyUI workflow and lowering the barrier to using ComfyUI.

As shown in the images below, you can develop a web application from the workflow like "portrait retouching"

Why You Need ComfyFlowApp?

If you want to generate an image using AI tools, you can choose MidJourney, DALL-E3, Fairfly (Adobe), or similar tools. These tools allow anyone to generate a beautiful image based on prompts. However, if you need more control over the generated results, like dressing a model in specific clothing, these tools may not suffice. Additionally, if your scenario has specific copyright requirements for images, you can use the open-source Stable Diffusion to build an AI image processing application. You have the choice of Stable-Diffusion-WebUI or ComfyUI, with WebUI being simple to use and having a rich plugin ecosystem for various processing needs. On the other hand, ComfyUI has a higher learning curve but offers more flexible workflow customization, allowing you to develop workflows for a wide range of scenarios.

If you need to share workflows developed in ComfyUI with other users, ComfyFlowApp can significantly lower the barrier for others to use your workflows:

Users don't need to understand the principles of AI generation models.
Users don't need to know the tuning parameters of various AI models.
Users don't need to understand where to download models.
Users don't need to know how to set up ComfyUI workflows.
Users don't need to understand Python installation requirements.

In summary, ComfyFlowApp make comfyui workflow easy to use.

Use Cases

How-to-use-it

1. For internal corporate collaboration

Creators develop workflows in ComfyUI and productize these workflows into web applications using ComfyFlowApp.
Users access and utilize the workflow applications through ComfyFlowApp to enhance work efficiency.

2. For remote corporate collaboration

Deploy ComfyUI and ComfyFlowApp to cloud services like RunPod/Vast.ai/AWS, and map the server ports for public access, such as https://{POD_ID}-{INTERNAL_PORT}.proxy.runpod.net.
Creators develop workflows in ComfyUI and productize these workflows into web applications using ComfyFlowApp.
Users access and utilize these workflow applications through ComfyFlowApp to enhance work efficiency.

Follow the repo to get the latest updates.

📌 Quick Start

ComfyFlowApp offers an in-built test account(username: demo) with the credentials(password: comfyflowapp). For an enhanced user experience, please sign up your account at https://comfyflow.app.

# download project
git clone https://github.com/xingren23/ComfyFlowApp

# create and activate python env
# Note: pytorch does not support python 3.12 yet so make sure your python version is 3.11 or earlier.
conda create -n comfyflowapp python=3.11
conda activate comfyflowapp

# install requirements
pip install -r requirements.txt

# start or run
# linux 
sh bin/creator_run.sh 
# windows
.\bin\creator_run.bat

or you could download integrated package fow windows comfyflowapp-python-3.11-amd64.7z

env var, you could modify some env var as needed

:: log level default: INFO
set LOGURU_LEVEL=INFO

:: ComfyflowApp address，default: https://api.comfyflow.app
set COMFYFLOW_API_URL=https://api.comfyflow.app

:: comfyui env for developping，you could use other machine in the same LAN, default: http://localhost:8188
set COMFYUI_SERVER_ADDR=http://localhost:8188

:: webapp server address, others in the same LAN could visit your webapp, default: localhost
set STREAMLIT_SERVER_ADDRESS=192.168.1.100