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Text-to-image model

As explained in Introduction to Generative AI, Second Edition

A text-to-image model is a generative model that creates images from textual descriptions.

A text-to-image model creates an image from a written prompt. A prompt naming a webcomic artist, for example, can produce a new illustration. That capability raises a question: when a model generates images associated with an artist’s work, what rights are involved? section 4.11

In the United States, copyright gives creators exclusive rights to their work, but fair use can permit some uses without permission. A pressing question is whether using artists’ copyrighted images as training data infringes those rights. The US Copyright Office says AI-generated images alone are not eligible for copyright protection; a work with AI-generated elements may qualify if it contains sufficient human creativity, assessed case by case. These are different questions: rights in training material and rights in the resulting image. section 4.11

Figure 4.7 An AI-generated illustration produced by an open source image model using the prompt “Sarah Andersen webcomic.”
A comic strip of a child

AI-generated content may be incorrect.

An illustration generated from a prompt naming a webcomic artist makes the connection between image generation and artists’ rights concrete. section 4.11

How Introduction to Generative AI, Second Edition covers it

How deep it goes
Explains legal distinctions around generated images and training data without describing model internals.
Examples
Shows an illustration prompted with an artist’s webcomic and a meme restyled with GPT-4o.
What it assumes
Defines copyright and fair use without requiring prior legal knowledge.
What you can do after
Evaluate/understand why training-data rights and copyright in generated images require separate consideration.
How it connects
Connects text-to-image models to training data, copyright, fair use and human authorship.

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