10 Tips for Getting Better AI-Generated Images
AI image generators have made professional design accessible to everyone. But there’s a significant gap between average AI images and stunning ones. The difference lies in how you prompt and refine. Here are 10 techniques that dramatically improve results.
1. Use Specific Art Styles and Mediums
Weak prompt: “A beautiful landscape” Strong prompt: “A serene mountain landscape in the style of Hudson River School paintings, oil on canvas, golden hour lighting, 8K resolution”
Why it works: AI has learned thousands of art styles. Referencing specific styles, artists, or mediums gives AI clear visual direction.
Best approaches:
- Name specific artists: “in the style of Monet,” “reminiscent of Ansel Adams photography”
- Specify mediums: “watercolor,” “digital painting,” “film photography,” “pencil sketch”
- Include art movements: “Art Deco,” “Impressionist,” “Surrealist”
Example: A designer needing brand imagery prompts “Modern minimalist illustration in the style of contemporary graphic design, vector art, muted earth tones” instead of “make a nice logo.”
2. Describe Lighting and Atmosphere
Weak: “A person working at a desk” Strong: “A focused professional working at a wooden desk, warm golden hour sunlight streaming through large windows, soft shadows, slightly warm color grading, shallow depth of field”
Why it works: Lighting defines mood. Atmospheric details make images feel alive and professional.
Specific lighting terms:
- “Golden hour lighting” (warm, directional)
- “Soft diffused light”
- “Dramatic side lighting”
- “Atmospheric fog/mist”
- “High contrast noir lighting”
Example: A photographer creating website hero images specifies “dramatic backlighting with atmospheric fog” creating much more dynamic, professional images than generic “bright and well-lit.”
3. Include Camera and Lens Details
Weak: “A portrait of a woman” Strong: “A portrait of a woman, shot with a 85mm lens, f/1.2 aperture, shallow depth of field, studio lighting, professional photography, sharp focus on eyes”
Why it works: AI understands photographic terms. Specifying technical details creates more professional results.
Key terms:
- “Shot with a 85mm/105mm lens” (flattering portraiture)
- “f/2.8 aperture” (professional shallow depth of field)
- “Wide-angle shot” (dramatic perspective)
- “Macro photography” (detailed close-ups)
- “Aerial drone photography”
Example: A real estate marketer specifies “architectural photography, 24mm wide-angle lens, even studio lighting” and gets images that actually look like professional property photos instead of generic renders.
4. Use Negative Prompting
Standard prompt: “A professional woman in modern office attire” Enhanced with negatives: “A professional woman in modern office attire, (no watermarks, no logos, no text, high quality, professional photography, blurred background)”
Why it works: Telling AI what NOT to include is as important as what to include.
Common negative terms:
- “no watermarks”
- “no logos”
- “no text”
- “no distortion”
- “no blurry areas”
- “high quality, 4K”
Example: A designer stops getting unwanted text, watermarks, and distorted hands by adding “(no text, no watermarks, anatomically correct hands)” to their prompts.
5. Add Specific Color Palettes
Weak: “A cozy living room” Strong: “A cozy living room with warm color palette of burnt orange, cream, and dark wood tones, soft warm lighting, scandinavian minimalist style”
Why it works: Color is crucial to mood. Being specific prevents unwanted color schemes.
Color palette approach:
- List 3-4 specific colors
- Name color palettes: “cool blue and white,” “warm earth tones,” “jewel tones”
- Reference color references: “colors of sunset,” “monochromatic warm tones”
Example: A brand-conscious client gets consistently on-brand imagery by specifying “brand color palette of navy blue, gold, and cream” in all prompts.
6. Specify Resolution and Quality Level
Weak: “An image of a product” Strong: “Professional product photograph of [item], 8K resolution, ultra high quality, studio lighting, clean white background, perfect focus”
Why it works: Quality levels matter. “4K,” “8K,” “ultra detailed,” and “high resolution” push AI toward better rendering.
Quality modifiers:
- “4K resolution” / “8K resolution”
- “Ultra detailed”
- “Hyper-realistic”
- “Award-winning photography”
- “Perfect focus”
- “Professional quality”
Example: A small business owner generates product images for their website by adding “professional product photography, 8K resolution, studio lighting” and the images look commercially viable instead of amateur.
7. Build Detailed Context and Setting
Weak: “A person reading a book” Strong: “A woman reading a book in a sunlit library, surrounded by tall wooden bookshelves, afternoon light creating soft shadows on her face, warm cozy atmosphere, vintage aesthetic, soft focus background”
Why it works: Rich context prevents AI from making random, often awkward choices about composition and background.
Context elements:
- Specific location (library, cafe, beach)
- Time of day/season
- Surrounding elements
- Composition hints
- Atmosphere indicators
Example: A content marketer specifying “busy startup office, people collaborating at standing desks, natural lighting, productive but relaxed atmosphere” gets images that actually convey their brand story instead of generic “office people.”
8. Reference Composition and Framing
Weak: “A beautiful sunset” Strong: “A dramatic seascape at sunset with the sun low on the horizon, shot from a low angle, rule of thirds composition, waves in foreground, dramatic clouds above”
Why it works: Composition determines whether an image is merely pretty or actually compelling.
Composition terms:
- “Rule of thirds composition”
- “Leading lines”
- “Symmetrical composition”
- “Shot from above” / “shot from below”
- “Wide-angle shot”
- “Close-up perspective”
Example: A designer prompting “symmetrical composition, subject centered, architectural photography, clean geometric lines” gets perfectly composed images suitable for architecture websites.
9. Use Reference Images as Direction
Most AI generators allow reference images. Upload images you love and specify what you want to match (style, mood, composition, color palette) without copying.
How to use it:
- Upload 2-3 reference images showing desired style
- Specify: “in the visual style of these references”
- Combine with detailed prompt for your specific content
Why it works: Visual references are faster than describing style verbally. AI understands visual patterns quickly.
Example: A designer wanting brand imagery in a specific aesthetic uploads 3 design references and generates images that perfectly match the visual direction.
10. Iterate and Refine Based on Results
Process:
- Generate initial image with your prompt
- Analyze what worked and what didn’t
- Adjust: add or remove elements, refine colors, adjust composition
- Generate variations focusing on improvements
- Upscale or enhance the best result
Why it works: Rarely is the first image perfect. Iteration dramatically improves results.
Refinement questions:
- Are the colors matching my vision?
- Is the composition dynamic?
- Is the quality professional?
- Does it tell the story I want?
- Does it match my brand?
Example: After generating initial social media graphics, a marketer refines 3-4 iterations, each getting closer to the mark—changing colors, adjusting composition, and fixing distracting elements.
Practical Workflow for Best Results
- Start with a clear image in mind - Sketch or describe what you want
- Write your base prompt - Include style, mood, technical details
- Generate first batch - Create 4-5 variations
- Analyze results - Note what worked and what didn’t
- Refine and iterate - Adjust colors, composition, or style
- Upscale the winner - Enhance resolution of the best image
- Minor touch-ups - Use Photoshop or similar for final refinement
Conclusion
AI image generation goes from impressive party trick to powerful business tool when you understand how to guide it. These 10 techniques—specific styles, detailed lighting, camera parameters, negative prompting, color palettes, quality levels, rich context, composition awareness, reference images, and iterative refinement—form the foundation of professional AI-generated imagery.
Start with your next image project using at least 5 of these techniques, and you’ll immediately see the quality difference.
Frequently Asked Questions
Specify art style, lighting, composition, and mood. Reference specific artists or mediums. Use quality modifiers like '4K, detailed, professional.' Include technical terms for photography prompts. Iterate on successful prompts.
Good Midjourney prompts include: subject, style reference, lighting description, composition notes, and technical parameters. Example: 'portrait of a wizard, fantasy art style, dramatic rim lighting, close-up composition --ar 3:4 --quality 2'
Common issues: prompts too vague, conflicting style instructions, wrong aspect ratio for subject, missing quality modifiers. Fix by being specific, choosing one clear style, matching aspect ratio to composition, and adding 'high quality, detailed' to prompts.
Quality modifiers that help: 'high resolution, 4K, 8K, detailed, professional, masterpiece, best quality, sharp focus, intricate details.' Style words: 'cinematic lighting, golden hour, dramatic, ethereal.' Avoid: 'beautiful, nice, good' (too vague).