Learn how to write better prompts for text-to-image tools. Structure your descriptions, control style, and refine results.
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AI image generator commands are the prompt-writing techniques you use to guide a text-to-image tool. By structuring your description with subject, style, lighting, and composition cues, you get more useful and predictable results.
Input
A serene Japanese garden with a koi pond, red maple leaves, traditional wooden bridge, soft morning mist, detailed zen aesthetic, golden hour lighting
Expected output
A detailed Japanese garden scene generated from a structured prompt
Input
Portrait of a cyberpunk character with neon pink hair, dramatic side lighting, urban night background, shallow depth of field, cinematic color grading
Expected output
A cinematic cyberpunk portrait with controlled lighting effects
Input
An oil painting of a Mediterranean coastal village, impasto technique, warm terracotta colors, blue sea, impressionist style, textured canvas effect
Expected output
An impressionist-style oil painting of a coastal village
Learn how to structure prompts for specific visual outcomes
Use descriptive keywords to control style, lighting, composition, and mood
Adjust and iterate prompt language for improved outputs
Describe the desired image.
Choose the available generation settings.
Generate, review, and download a suitable result.
Structure your prompts for better results.
Copy a structure, then adjust the subject, lighting, camera, and output details for your own result.
A red fox, sitting in snow-covered forest, winter morning light, soft focus background, wildlife photography style.
Starting with the subject, then adding setting and style in order, helps the tool prioritize what matters most.
Portrait of an elderly woman. Deep wrinkles. Warm smile. Natural window light. Black and white photography. High contrast.
Breaking details into short phrases gives each element equal weight and prevents one descriptor from dominating.
Vaporwave aesthetic: a retro computer setup with pink and cyan lighting, palm trees in background, grid floor, 1980s nostalgia.
Leading with the style cue sets the visual tone before the tool processes the scene description.
A lonely streetlight on an empty road at night, fog rolling in, cool blue tones, cinematic atmosphere, long exposure effect.
Emphasizing lighting and mood before subject details produces atmospheric, emotion-driven results.
Macro shot of a water droplet on a green leaf, shallow depth of field, 100mm lens perspective, soft natural light, bokeh background.
Using camera and lens terminology guides the tool toward realistic photographic composition and focus.
Match the workflow to the input you have and the result you need before opening the generator.
Input: Start with simple subject-style-setting structure and add layers
Result: Predictable results that respond clearly to each added detail
Tool: Text to Image
Input: Lead with style cue, then describe subject and composition
Result: Images that match the requested aesthetic or artistic movement
Tool: Text to Image
Input: Adjust one prompt element at a time and compare outputs
Result: Clear understanding of which words drive which visual changes
Tool: Text to Image
Input: Use camera, lens, and lighting terminology in prompts
Result: Realistic photographic effects like bokeh, shallow focus, or long exposure
Tool: Text to Image
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Practice writing effective prompts and see how different descriptions affect results.
