Model Selection and Presets

Lesson 2: Style Presets and Aesthetic Controls

Lesson Objectives

By the end of this lesson, students should be able to:

  • Navigate and apply Style Presets in Leonardo AI
  • Use presets to achieve consistent aesthetic output efficiently
  • Combine Style Presets with prompt content for complete control
  • Evaluate when presets are more efficient than manual style prompting

Lesson Content

What Style Presets are.

Style Presets are pre-built aesthetic configurations in Leonardo AI – selecting a preset applies a set of style-enhancing parameters that shift generation toward a specific visual character without requiring the user to manually specify style in the prompt. Preset categories may include photographic styles, artistic styles, illustration styles, game-art styles, and others – verify current preset availability at leonardo.ai.

Applying a Style Preset.

Presets are typically selected from a style gallery or dropdown in the generation interface – separate from or alongside the model selector. Applying a preset changes the aesthetic treatment applied to the prompt content. The same prompt with different presets produces distinctly different visual character – explore presets with a test prompt to understand what each produces before production use.

Combining presets with prompt content.

Style Presets and prompt content work together: the preset applies the aesthetic framework; the prompt directs the subject, environment, and specific content. For complex aesthetic requirements not fully covered by any single preset, supplementing the preset with specific style descriptors in the prompt may produce more precisely targeted results.

When presets are more efficient than manual style prompting.

Presets are most efficient when: you want a consistent visual style without constructing style descriptors from scratch per session; you're working with a specific established aesthetic that matches a preset; or you're producing a consistent style series without extensive prompt variation. Manual style prompting is more efficient when: the required aesthetic is highly specific or unusual, doesn't match any available preset, or requires fine-grained control over specific style dimensions.

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