Build a ChatGPT Plugin for Image Generation with Stable Diffusion

Introduction to ChatGPT Plugins and Stable Diffusion

ChatGPT Plugins are essential tools that connect ChatGPT to external applications, enhancing its capabilities to perform various tasks. These plugins allow ChatGPT to fetch up-to-date information, assist with tasks like booking flights or ordering food, and offer valuable guidance to users. Among these plugins, Stable Diffusion stands out as a generative model that can create high-resolution images with remarkable detail.

What You Will Learn in This Tutorial

In this tutorial, we will take you step-by-step through the straightforward process of building a ChatGPT Plugin for image generation using Stable Diffusion. As a special bonus, I'll guide you on integrating your plugin with ChatGPT and testing it out. So, sit back, relax, and let’s get started!

Prerequisites

• Download Visual Studio Code (VS Code) or any compatible code editor like IntelliJ IDEA or PyCharm.
• Join the Plugin waitlist to access ChatGPT Plugins API.
• Obtain an API Key by creating an account on Dream Studio for using Stable Diffusion.

Getting Started

Step 1 - Create a New Project

Open Visual Studio Code and create a new folder named chatgpt-plugin-stable-diffusion by running the following command in the terminal:

mkdir chatgpt-plugin-stable-diffusion

Note: For the plugin to work properly, the following steps need to be completed:

• Build an API using Flask, FastAPI, etc., implementing the OpenAPI specification.
• Create a JSON manifest file to define relevant metadata for the plugin.
• Document the API in OpenAPI format.

Step 2 - API Implementation

We will implement our API using Flask, a lightweight WSGI web application framework. To begin, create a new file called app.py in your project folder.

Next, install the necessary dependencies by running:

pip install Flask

Now we can start writing the API code:

from flask import Flask, jsonify

app = Flask(__name__)

@app.route('/generate-image', methods=['POST'])
def generate_image():
    # Logic to generate image using Stable Diffusion
    return jsonify({'message': 'Image generated successfully'})

if __name__ == '__main__':
    app.run(debug=True, host='127.0.0.1', port=5000)

Now, run the Flask app:

python app.py

Once the server is running, create a test.py file with the necessary logic to test the image generation:

import requests
response = requests.post('http://127.0.0.1:5000/generate-image')
print(response.json())

Make sure to run:

pip install requests

Now, execute the test script to see the generated image:

python test.py

Congratulations! You've built the API for image generation using Stable Diffusion.

Step 3 - Create Plugin Manifest

Every plugin requires an ai-plugin.json file. Create this file and define its content:

{
  "schema_version": "v1",
  "name_for_human": "Stable Diffusion Image Generator",
  "name_for_model": "stable_diffusion",
  "description_for_human": "Generate images based on text prompts.",
  "description_for_model": "A plugin to generate images using the Stable Diffusion model.",
  "auth": {"type": "none"},
  "api": {
    "type": "openapi",
    "url": "http://127.0.0.1:5000/openapi.yaml"
  }
}

Step 4 - OpenAPI Specification

Create a file called openapi.yaml to describe your API:

openapi: "3.0.0"
info:
  title: "Stable Diffusion API"
  description: "API for generating images using Stable Diffusion"
  version: "1.0.0"
paths:
  /generate-image:
    post:
      summary: "Generate an image"
      responses:
        '200':
          description: "Image generated successfully"

Now, go back to the app.py file and add the endpoints for the plugin’s logo, manifest, and OpenAPI specification.

Integrating with ChatGPT

After completing all the above steps, you will have a server ready to respond to requests. To integrate with ChatGPT, visit ChatGPT, navigate to the plugin store, and select "Develop Your Own Plugin". Then, click "My Manifest Is Ready." Copy and paste the base link http://127.0.0.1:5000 and follow the instructions to install the plugin.

Conclusion

In this tutorial, we explored the process of building a ChatGPT Plugin for image generation using Stable Diffusion. By leveraging Stable Diffusion, we can enable ChatGPT to generate realistic images based on textual prompts. Plugins are essential for enhancing ChatGPT’s functionality, allowing it to interact seamlessly with external APIs.

Thank you for following along with this tutorial, and I hope you found it valuable!