Learn to use the OpenAI Python library to create images with DALL·E, a state-of-the-art latent diffusion model. In the associated tutorial on generating images with DALL·E 2 and the OpenAI API, you explore image creation and generating image variations. You learn how to interact with DALL·E using API calls and incorporate this functionality into your Python scripts.
Create and activate a virtual environment, then install the openai package:
$ python --version
Python 3.11.0
$ python -m venv venv
$ source venv/bin/activate
(venv) $ python -m pip install openaiYou need to be on Python 3.7.1 or higher.
Follow the instructions in the tutorial to create images from text prompts, create image variations, and convert a Base64 JSON response to a PNG image file.
You can find the code for each of these steps in dedicated scripts:
create.py: Create an image from a text prompt and save the image data to a file.convert.py: Convert a Base64-encoded PNG image delivered in a JSON response to a PNG image file.vary.py: Read Base64-encoded image data and make an API request to receive variations of that image.
In the tutorial, you'll walk through each of these scripts and their functionality and output in more detail.
The OpenAI Image API also allows you to edit parts of an image using text prompts. For this, you need to create a mask with transparent image data in the area where you want to edit the image.
You can run edit.py to give this functionality a try.