Input Controls

An overview of all input controls in Qolaba's Image Generation workspace — prompt, Magic Prompt, reference image uploads, and keywords.

Input Controls are where you define everything that goes into a generation — your prompt, reference images, and keywords. Together these inputs determine the subject, style, composition, and visual direction of your generated image.

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What's in the Input Controls

Control	What It Does
Prompt	Describes the subject, environment, style, and mood in natural language
Magic Prompt	AI-enhanced version of your prompt for richer, more detailed generation
Reference Images	Uploaded images that guide composition, style, or subject in generation
Keywords	Structured visual modifiers for focus, lighting, shot type, lens, and style
Negative Keywords	Explicit exclusions — objects, colors, styles, or artifacts to remove from output

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How Inputs Work Together

Your prompt is the foundation of every generation. Keywords extend and refine what the prompt describes — adding precise visual direction that natural language alone cannot reliably produce. Reference images anchor the generation visually, giving the model a concrete stylistic or compositional starting point to work from.

For best results, combine all three:

• A clear, specific prompt for subject, environment, and mood

• Relevant keywords for lighting, focus, shot type, and quality enhancement

• Reference images when visual consistency with existing assets matters

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What's in This Section

1. Prompt & Magic Prompt → How to write effective image prompts, use Magic Prompt for automatic enhancement, and structure inputs for consistent, high-quality outputs.

2. Reference Image Uploads → How to upload reference images for image-to-image generation, per-model upload limits, supported formats, and tips for effective reference use.

3. Keywords → A complete breakdown of all keyword categories — lighting, focus, shot size, lens, enhancement, and negative keywords — with combination examples by use case.