Executing Image Generation in FastAPI Endpoints

Image generation is a powerful feature that can be integrated into various applications. In FastAPI, you can leverage libraries like DeepAI, TensorFlow, or PyTorch to generate images within your endpoints. This guide will demonstrate how to execute image generation in FastAPI endpoints.

Integrating an Image Generation Library

Install the required library:

Bash

pip install deepai

Import the library:

Python

import deepai

Creating an Endpoint for Image Generation

Python

@app.post("/images")
async def generate_image(prompt: str):
    response = deepai.api.text2image(text=prompt)
    return {"image_url": response.output_url}

Explanation

• The deepai.api.text2image function from the DeepAI library generates an image based on the provided text prompt.
• The response contains a URL to the generated image.

Using Background Tasks

To execute image generation asynchronously, you can use background tasks:

Python

from fastapi import BackgroundTask

def generate_image_async(prompt: str):
    # ... (image generation logic)

@app.post("/images")
async def generate_image(prompt: str):
    background_task = BackgroundTask(generate_image_async, prompt)
    await background_task()
    return {"message": "Image generation started"}

By following these steps, you can effectively integrate image generation capabilities into your FastAPI application, allowing users to create custom images based on text prompts.