🟢 Repetition
Repeating the same word within a prompt, or similar phrases can cause the model to emphasize that word in the generated image1. For example, @Phillip Isola generated these waterfalls with DALLE:
A beautiful painting of a mountain next to a waterfall..
A very very very very very very very very very very very very very very very very very very very very very very beautiful painting of a mountain next to a waterfall.
The emphasis on the word very seems to improve generation quality! Repetition can
also be used to emphasize subject terms. For example, if you want to generate an image
of a planet with aliens, using the prompt A planet with aliens aliens aliens aliens aliens aliens aliens aliens aliens aliens aliens aliens
will make it more likely that aliens are in the resultant image. The following images are made with Stable Diffusion.
A planet with aliens
A planet with aliens aliens aliens aliens aliens aliens aliens aliens aliens aliens aliens aliens
Notes
This method is not perfect, and using weights (next article) is often a better option.
- Oppenlaender, J. (2022). A Taxonomy of Prompt Modifiers for Text-To-Image Generation. ↩