From the course: The State of Generative AI: Images, Prompting, and Language Models

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Practical uses for image generation

Practical uses for image generation

- Besides the models, there's a number of capabilities that some of the different products offer. Just because a product mentions a capability, it doesn't mean that particular product does the best job at any particular task. Thankfully, these techniques will rapidly improve as models update capabilities. Let's take a look at some of the key techniques and see what they seek to accomplish. First, you can use AI to remove a background. It's one of the features where the quality of the model can vary significantly between products. It's built into Photoshop and related applications, but I find that's not always as good as what you can get in other places. It's a really important feature that can also fill in the background and let you move foreground objects around in layouts. Inpainting means that you can draw elements into existing images. The quality of the generation will depend on which model you're using to generate the art. From a programmer standpoint, the API lets you either…

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