https://github.com/ylp1455/flask-a-graph

"Flask-A-Graph' is a Flask app that uses Stable Diffusion Pipeline to generate images based on user input prompts. The app is easy to use and perfect for anyone looking to explore the creative possibilities of deep learning image generation. Get ready to unleash your inner artist with Flask-A-Graph'!"
https://github.com/ylp1455/flask-a-graph

deep-learning pipeline stable-diffusion

Last synced: 2 months ago
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"Flask-A-Graph' is a Flask app that uses Stable Diffusion Pipeline to generate images based on user input prompts. The app is easy to use and perfect for anyone looking to explore the creative possibilities of deep learning image generation. Get ready to unleash your inner artist with Flask-A-Graph'!"

• Host: GitHub
• URL: https://github.com/ylp1455/flask-a-graph
• Owner: ylp1455
• Created: 2023-04-02T20:23:28.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2023-04-02T21:14:51.000Z (about 3 years ago)
• Last Synced: 2025-03-10T19:28:02.431Z (over 1 year ago)
• Topics: deep-learning, pipeline, stable-diffusion
• Language: Jupyter Notebook
• Homepage:
• Size: 9.77 KB
• Stars: 2
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Flask-A-Graph

Example app that demonstrates how to run a Flask app with a free GPU using Google Colab and ngrok.

## Instructions

- Open the Colab: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/AssemblyAI-Examples/flask-gpu-app/blob/main/notebook.ipynb)

- Go to [ngrok.com](ngrok.com), get a free API token, and in the Colab replace`YOUR-AUTHTOKEN-HERE` with the token.

- Set the runtime to GPU

- Click on `Runtime -> Run all`

- In the output cell you should see a url similar to this: Running on `http://5fdc-104-196-187-169.ngrok.io`. Open this url and use your app.