An AI image generation workflow is like giving instructions to a robot artist who draws pictures based on what you tell it.
Imagine you have a friend who loves drawing. You tell them what kind of picture you want, maybe "a blue cat wearing sunglasses in the middle of a park." That’s like the first step in an AI image generation workflow: telling the AI what to draw.
Then, the robot artist (the AI) thinks about how to make that picture. It might decide how big the cat should be, where to put the sunglasses, and even choose the color of the sky, this is like the second step: processing the instructions.
Finally, the robot artist draws the picture on a tablet or paper, just like the AI creates the image on your screen, that’s the last step: generating the final image.
Sometimes, you might want to tweak it, maybe make the cat bigger or change the color of the sunglasses, and that's like going back through the steps again!
So an AI image generation workflow is just a simple way to describe how an AI goes from your idea to a real picture.
Examples
- A child draws a cat, and an AI turns it into a cartoon.
- An app lets you describe a scene and creates a picture from it.
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See also
- How Does Stable Diffusion explained (in less than 10 minutes) Work?
- How Does The Only AI Filmmaking Workflow You'll Ever Need Work?
- How Does ComfyUI Explained: How AI Image Generation Actually Works (Step-by-Step) Work?
- How do AI image generators create realistic pictures?
- How do AI image generators create such realistic art?