Definition — A secondary prompt listing what a generation should avoid — unwanted objects, styles or artifacts. The model steers away from the listed concepts instead of toward them.
A negative prompt is subtraction: where the main prompt says what the image should contain, the negative prompt names what it should not — recurring artifacts, unwanted props, a style the model keeps drifting into. It is most useful against a specific, recurring problem ('text overlays keep appearing') rather than as a generic quality incantation.
Its honest limits: negatives nudge, they do not guarantee, and long boilerplate negative lists mostly dilute each other. If you need a wall of negatives to get an acceptable image, the base prompt is usually the real problem — and in preset-driven workflows like Forge Styles, well-tuned styles already suppress most of what manual negatives are used for elsewhere.
The text instruction describing what a generation should depict — scene, wardrobe, mood, composition. With a trained persona, prompts describe the situation only; the identity comes from the model.
The practice of writing and systematically refining prompts to get reliable, repeatable results from a generative model — concrete language, deliberate structure, and one change at a time.
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