A Beginner's Guide to AI Image Generation with Prompts
LLM model breaks down the words and phrases in a prompt into smaller parts called tokens. These tokens are compared to its training data and then used to generate an image.
Instead of saying, “Render a red sofa for me,” simply describe the object as “a red sofa.” The reason for this is explained above: prompts are broken down into tokens of adjectives and nouns, so requests or instructions don't mean anything to the model and do not affect the output image. Key adjectives or nouns like "red" and "sofa" are used as tokens and will appear in the result.
You should treat prompt building as a step-by-step process. Each time you refine your prompt, you'll learn more about how prompting works and its limits. Once you grasp how wording affects the outcome, you'll be able to create precise images with very little prompts.
If you know exactly what you're looking for and want a very detailed picture, you should be as descriptive and specific as possible. Instead of saying "A pretty front yard," use: "A lush green front yard with blooming flowers and a tall leafy tree."
