Start with a reliable prompt structure
A useful prompt is not a keyword list; it is a visual brief for an image model. Describe the subject and action first, then add the scene, composition, medium, palette, lighting, and output goal. A clear structure makes versions easier to compare and easier to improve.
1. Choose the model and creative goal
Gemini, GPT Image 2, and Grok all understand natural language, but they respond differently to text, layout, style, and constraints. Begin with the use case: a social cover, product concept, portrait, or poster with readable text. The clearer the goal, the more specific the prompt can be.
2. Describe the subject and scene in layers
The subject answers what is in the frame and what it is doing; the scene answers where it is and what surrounds it. Instead of “futuristic city,” write “a person in a silver trench coat walks along an elevated path in the rain, holding a transparent umbrella, with warm windows in the towers behind them.” Relationships are more useful than stacks of vague adjectives.
3. Add visual controls that change the result
Add constraints that actually change the output: close-up or full body, low angle or overhead view, film photography or watercolor, soft window light or hard rim light, landscape 16:9 or square composition. For text, logos, or product angles, state the content, placement, and hierarchy directly instead of relying on “perfect layout.”
Prompt template
Subject + action, scene and environment, composition and viewpoint, medium or visual style, lighting and palette, aspect ratio and purpose.
4. Iterate one variable at a time
Generate a small batch with a complete but focused prompt. If the subject is right but the frame feels flat, adjust composition first. If composition works but the mood is wrong, adjust lighting and palette. Changing one group at a time reveals which phrase caused the improvement and leaves you with a reusable version.
5. Save reusable versions
Separate a successful prompt into a fixed structure and replaceable variables. Keep the subject, camera, and lighting logic stable, then swap the person, product, scene, or palette. KGQ.AI model and category pages give you copy-ready examples to adapt instead of starting from a blank page.
Keep exploring
Start with the Gemini, GPT Image 2, or Grok model pages, then narrow the library by subjects such as portraits, photography, anime, or architecture.
Frequently asked questions
What should an AI image prompt include?
Start with the subject, scene, composition, visual style, lighting, and output goal, then add constraints that fit the model.
How much of a prompt should I change at once?
Change one group of information—such as lighting or composition—so you can understand why the result changed.
Can I reuse prompts across Gemini, GPT Image 2, and Grok?
The structure transfers well, but each model responds differently to wording, layout, and style direction, so refine the phrasing.