Hey, there! In this article we'll learn about Generative AI, and how to use the Azure OpenAI service for image generation with DALL-E.
Generative Artificial Intelligence is a type of AI that creates new and original content based on what it has learned from previous data. It can be used to generate text, images, music, and more.
Azure OpenAI is part of the Azure Cognitive Services that uses generative AI models. In this sense, these are the workloads that we can consider:
- Generating Natural Language.
- Generating Code.
- Generating Images.
For our Azure OpenAI overview, we'll exemplify this scenario: Generate images with DALL-E 2.
As a first point, within Azure we'll have to create a new OpenAI resource like any other.
Here, in addition to the subscription and resource group, we must specify the name, region, and the pricing tier for the new resource.
With the service created, here we can see the resource overview, keys & endpoints, and the Go to Azure OpenAI Studio option to go to the low-code dashboard.
And here we have it: The Azure OpenAI portal (https://oai.azure.com/).
To work with DALL-E, in the portal we must go to the
DALL·E 2 playground section and start generating images with the prompts that we specify:
For each image generated these will be our available options:
- Copy prompt.
- Generate a new image with the same prompt.
- Download the image.
- Show code (to call the model).
- Delete image.
To generate an example of consuming DALL-E in Python, this would be an example of how we can generate the code (from the Show Code option in a generated image):
If you have any questions or ideas in mind, it will be a pleasure to be able to be in communication with you, and together exchange knowledge with each other.
If you would like to learn more about Azure OpenAI, this Microsoft Learn module is a good option: Introduction to Azure OpenAI Service.