Preset styles

Style presets provide a guided entry point into creative control. They let users apply established visual, tonal, or behavioral characteristics to a generation without needing to understand the technical mechanics of prompt design or model fine-tuning. This lowers the barrier to expressive output, especially for early or non-technical users.

Across modalities, preset galleries act as an onboarding bridge to deeper customization. In image tools like Midjourney, Krea, or Leonardo, users can browse curated styles with example images, often grouped by medium, theme, or creator. In writing and audio tools such as Jasper, ElevenLabs, and Udio, presets convey tone, voice, or genre. Each preset typically includes a name, description, and one or more examples, with filters or sort options to help users find relevant styles quickly.

Preset styles can be applied directly to prompts or used to generate new variations within a consistent aesthetic. They may also unlock more advanced features. Some systems allow users to remix multiple presets, layer them, or add reference inputs to refine or evolve a style. Others support user-generated galleries, turning the preset system into a social surface where community styles can be shared, rated, and adapted.

In systems that support community or organizational sharing, presets become a shared vocabulary. Public galleries allow creators to publish styles with attribution and version tags, while internal libraries keep teams aligned around brand or production standards.

Design considerations

  • Design for fast discovery. Organize galleries around categories that mirror how users actually search. Facets like lighting, camera, material, dialect, tempo, or mood help users scan quickly. Support search with autocomplete for names, tags, and creators, and let people sort by recency, popularity, or staff picks.
  • Use realistic reviews to model the style. People decide by seeing, not reading. Show each preset with inline thumbnails or hover previews, and allow “auditioning” that temporarily applies the style without overwriting their work. Ensure applying a preset takes one clear action with an immediate undo.
  • Show what a preset controls. Reveal the relationship between presets and underlying parameters. Clarify which elements are affected, such as composition, color, lighting, cadence, tone, and let users adjust intensity or blend it with prompt text. When presets build on references or other inputs, keep those connections visible.
  • Encourage community participation. Expand the size of the preset library while encouraging engagement by users and creators by showcasing community styles. Be sure to share the username and profile details of the creator for attribution. Where free and paid styles are surfaced together, ensure users have an easy way to filter out premium listings.
  • Support portability and versioning. Allow saving, pinning, and sharing presets within a project or organization. Tag presets with version information and model dependencies, and display compatibility warnings when models change. This keeps teams aligned even as systems evolve.
  • Keep presets composable. Users should be able to layer presets with manual edits, prompt text, or parameter tuning. Avoid locking them into predefined looks. Expose controls for “strength” or “blend” so styles can adapt rather than overwrite.

Examples

Gamma reveals a collection of pre-set styles in the slide wizard view, ensuring any generated images across the presentation follow a consistent theme.