Styles
Apply consistent visual presets to your AI-generated content.
Styles in Qamera AI are visual presets that control the look and feel of your generated content. They let you apply a consistent aesthetic across all your product images and videos, ensuring your brand identity stays cohesive regardless of how many items you photograph.
What Are Styles?
A style is a saved set of visual parameters that influences how the AI generates your content. When you apply a style to a generation session, it adjusts elements like lighting, color palette, mood, and overall photographic treatment. Think of styles as creative direction that you define once and apply repeatedly.
Types of Styles
Styles in Qamera AI fall into several categories:
- Photography styles — Control the photographic approach, such as editorial, commercial, minimal, or documentary looks.
- Color grading — Adjust the color temperature, saturation, and tonal range to match your brand palette.
- Mood and atmosphere — Set the emotional tone of the image, from bright and energetic to dark and moody.
Why Styles Matter
Without styles, each generation session starts from a neutral baseline. This can lead to inconsistent visuals across your product catalog. Styles solve this by encoding your brand's visual language into a reusable preset that any team member can apply.
Key benefits:
- Brand consistency — Every generated image follows the same visual rules.
- Faster workflow — Apply a style instead of manually adjusting settings each time.
- Team alignment — Share styles across your workspace so everyone produces on-brand content.
Getting Started with Styles
Qamera AI offers two ways to build your style collection:
- Style Marketplace — Browse and add professionally designed styles created by the community and the Qamera AI team.
- Custom Styles — Create your own styles tailored to your specific brand requirements.
Using Styles in Sessions
When configuring a photo shoot, packshot, or video session, you can select a style from your collection. The style is applied during generation, shaping the final output to match your chosen aesthetic.