Here's the collected wisdom on what prompt techniques actually deliver results across different models and styles.
The fundamental structure:
Subject + Style + Lighting + Composition + Quality
This formula works across all models. "Portrait" is weak. "Close-up portrait, dramatic Rembrandt lighting, oil painting style, rich colors, masterpiece quality, 8K" is strong.
Photography style prompts:
Camera and lens specs control everything. Compare these:
"Shot on iPhone" β casual, wide angle, everything in focus "Shot on Hasselblad 500C, 80mm, f/2.8" β medium format look, beautiful depth "Shot on Canon 5D, 85mm, f/1.4" β portrait lens, creamy bokeh "35mm Kodak Portra 400 film" β warm tones, natural grain
These terms work even for non-photo subjects. Try "fantasy landscape, shot on medium format film" β creates specific aesthetic.
Lighting terminology:
"Golden hour" β warm, soft, flattering "Blue hour" β cool, moody, twilight "Rembrandt lighting" β dramatic triangle under eye "Rim lighting" β backlit edge highlight "Soft diffused light" β even, flattering, professional "Harsh overhead lighting" β unflattering, dramatic shadows
Study cinematography lighting to learn terms AI responds to.
Artist style references:
"Greg Rutkowski" β epic fantasy digital painting "James Gurney" β realistic painted illustration "Alphonse Mucha" β Art Nouveau decorative "Simon StΓ₯lenhag" β melancholic sci-fi realism "Hayao Miyazaki" β Studio Ghibli animation style
Browse ArtStation to discover artists whose aesthetic you want. Reference them in prompts for instant style direction.
Quality markers:
These boost output quality:
"8K, highly detailed, sharp focus" β technical quality "Trending on ArtStation" β pushes toward polished digital art "Award-winning, masterpiece" β quality indicators "Professional photography" β commercial standard "Intricate detail, hyperrealistic" β maximum detail
Composition terms:
"Close-up" β fills frame "Medium shot" β waist up "Wide shot, establishing" β shows environment "Dutch angle" β tilted, dynamic "Rule of thirds composition" β balanced framing "Symmetrical composition" β centered, formal
Style-specific prompts:
Cyberpunk: "neon lighting, rain-slicked streets, blade runner aesthetic, purple and cyan color scheme, dystopian, night scene"
Fantasy: "epic fantasy, dramatic lighting, castle background, magical atmosphere, trending on ArtStation, detailed armor, heroic pose"
Product photography: "studio lighting, white background, commercial photography, highly detailed, sharp focus, professional product shot, clean composition"
Anime: "anime style, cel shading, vibrant colors, Studio Ghibli aesthetic, detailed character design, dynamic pose"
Vintage: "1970s aesthetic, faded colors, film grain, retro typography, vintage photograph, nostalgic mood"
Model-specific strategies:
Midjourney tips:
DALL-E tips:
Stable Diffusion tips:
The bracket technique:
Organize complex prompts with clarity:
[Subject: ancient dragon] [Style: fantasy oil painting] [Lighting: dramatic side lighting with rim light] [Composition: close-up of face, shallow depth of field] [Quality: 8K, highly detailed, trending on ArtStation]
This helps you remember what each part does.
Prompt libraries:
PromptHero β search 10M+ prompts by style or subject Lexica.art β Stable Diffusion specific search OpenArt β prompt suggestions and style browse Midjourney Community Feed β see prompts for all public generations
What doesn't work:
Being vague β "make it cool" means nothing Over-complicating β 200-word prompts confuse models Contradictions β "photorealistic anime" fights itself Ignoring model strengths β asking DALL-E for artistic interpretation when Midjourney excels at it
Testing methodology:
Change one element at a time. If you modify lighting AND style AND composition simultaneously, you won't know what worked. Test systematically: generate baseline β change only lighting β compare β change only style β compare.
Collecting your prompts:
Build a personal prompt library. When something works, save it with notes. Organize by: style (cyberpunk, fantasy, product), subject (portraits, landscapes, objects), model (Midjourney, DALL-E, SD).
Use a note-taking app or spreadsheet. Future you will thank present you.
Share prompts that worked here. Post before/after comparisons showing what changed. Ask why a prompt isn't delivering expected results. When you discover a technique, document it for others.
The fundamental structure:
Subject + Style + Lighting + Composition + Quality
This formula works across all models. "Portrait" is weak. "Close-up portrait, dramatic Rembrandt lighting, oil painting style, rich colors, masterpiece quality, 8K" is strong.
Photography style prompts:
Camera and lens specs control everything. Compare these:
"Shot on iPhone" β casual, wide angle, everything in focus "Shot on Hasselblad 500C, 80mm, f/2.8" β medium format look, beautiful depth "Shot on Canon 5D, 85mm, f/1.4" β portrait lens, creamy bokeh "35mm Kodak Portra 400 film" β warm tones, natural grain
These terms work even for non-photo subjects. Try "fantasy landscape, shot on medium format film" β creates specific aesthetic.
Lighting terminology:
"Golden hour" β warm, soft, flattering "Blue hour" β cool, moody, twilight "Rembrandt lighting" β dramatic triangle under eye "Rim lighting" β backlit edge highlight "Soft diffused light" β even, flattering, professional "Harsh overhead lighting" β unflattering, dramatic shadows
Study cinematography lighting to learn terms AI responds to.
Artist style references:
"Greg Rutkowski" β epic fantasy digital painting "James Gurney" β realistic painted illustration "Alphonse Mucha" β Art Nouveau decorative "Simon StΓ₯lenhag" β melancholic sci-fi realism "Hayao Miyazaki" β Studio Ghibli animation style
Browse ArtStation to discover artists whose aesthetic you want. Reference them in prompts for instant style direction.
Quality markers:
These boost output quality:
"8K, highly detailed, sharp focus" β technical quality "Trending on ArtStation" β pushes toward polished digital art "Award-winning, masterpiece" β quality indicators "Professional photography" β commercial standard "Intricate detail, hyperrealistic" β maximum detail
Composition terms:
"Close-up" β fills frame "Medium shot" β waist up "Wide shot, establishing" β shows environment "Dutch angle" β tilted, dynamic "Rule of thirds composition" β balanced framing "Symmetrical composition" β centered, formal
Style-specific prompts:
Cyberpunk: "neon lighting, rain-slicked streets, blade runner aesthetic, purple and cyan color scheme, dystopian, night scene"
Fantasy: "epic fantasy, dramatic lighting, castle background, magical atmosphere, trending on ArtStation, detailed armor, heroic pose"
Product photography: "studio lighting, white background, commercial photography, highly detailed, sharp focus, professional product shot, clean composition"
Anime: "anime style, cel shading, vibrant colors, Studio Ghibli aesthetic, detailed character design, dynamic pose"
Vintage: "1970s aesthetic, faded colors, film grain, retro typography, vintage photograph, nostalgic mood"
Model-specific strategies:
Midjourney tips:
- Photography terms work great: "shot on Hasselblad"
- Use --stylize to control artistic interpretation
- Reference decades: "1980s, 1950s aesthetic"
- Combine artists: "Greg Rutkowski meets Alphonse Mucha"
DALL-E tips:
- Be conversational and explicit
- Great at text: "include the text 'Hello World' in elegant font"
- Describe scenes naturally: "A coffee shop on a rainy day, warm lighting through windows, cozy atmosphere"
Stable Diffusion tips:
- Use negative prompts: "ugly, distorted, low quality, blurry, watermark"
- Emphasis syntax: (dramatic lighting:1.3) for more weight
- Quality prompts at start: "masterpiece, best quality, highly detailed"
The bracket technique:
Organize complex prompts with clarity:
[Subject: ancient dragon] [Style: fantasy oil painting] [Lighting: dramatic side lighting with rim light] [Composition: close-up of face, shallow depth of field] [Quality: 8K, highly detailed, trending on ArtStation]
This helps you remember what each part does.
Prompt libraries:
PromptHero β search 10M+ prompts by style or subject Lexica.art β Stable Diffusion specific search OpenArt β prompt suggestions and style browse Midjourney Community Feed β see prompts for all public generations
What doesn't work:
Being vague β "make it cool" means nothing Over-complicating β 200-word prompts confuse models Contradictions β "photorealistic anime" fights itself Ignoring model strengths β asking DALL-E for artistic interpretation when Midjourney excels at it
Testing methodology:
Change one element at a time. If you modify lighting AND style AND composition simultaneously, you won't know what worked. Test systematically: generate baseline β change only lighting β compare β change only style β compare.
Collecting your prompts:
Build a personal prompt library. When something works, save it with notes. Organize by: style (cyberpunk, fantasy, product), subject (portraits, landscapes, objects), model (Midjourney, DALL-E, SD).
Use a note-taking app or spreadsheet. Future you will thank present you.
Share prompts that worked here. Post before/after comparisons showing what changed. Ask why a prompt isn't delivering expected results. When you discover a technique, document it for others.