We have launch a online service for ComfyFlowApp, you could develop app online and share it with your friends and anyone. WebSite: ComfyFlow
ComfyFlowApp is a tool to help you develop AI webapp from ComfyUI workflow and share to others.
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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"
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.
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.
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.bator 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