# Image Generation Example with AUTOMATIC1111 API (`sd3_medium` and `clip`)

This example demonstrates how to use Python to generate images of a cat using the AUTOMATIC1111 Stable Diffusion API on a custom port. In this example, we'll generate **5 images** using a fixed prompt and save them locally as PNG files.

## Overview

The provided Python script does the following:
- Generates a random seed for each image.
- Sends a POST request to the AUTOMATIC1111 `txt2img` API endpoint with specified model parameters, a prompt, and a custom port.
- Decodes the returned base64 image data.
- Saves each image in the local directory as a PNG file.

In addition to image generation, the example also shows how to use the server's CLIP Interrogator endpoint to generate captions from the created images.

## Server Details

For this example, the AUTOMATIC1111 server is running on the following network details:
- **IP Address:** `172.30.200.3`
- **Custom Port:** `35000`

You can use these details to interact with the server for:
- **Image Generation:** Sending requests to the `/sdapi/v1/txt2img` endpoint.
- **CLIP Interrogation:** Sending requests to the `/sdapi/v1/clip-interrogate` endpoint.

This means if you want to use the server for generating images or obtaining image captions via CLIP interrogation, you should point your API calls to `http://172.30.200.3:35000`.

## Prerequisites

Before running the script, ensure you have:

- A working Python 3 environment.
- The following Python packages installed:
  - `requests`
  - `Pillow`

You can install these packages using pip:

```bash
pip install requests Pillow