Image Generation
Claude
Tested Prompt
Reviewed by Sushil Joshi
Large Wall-to-wall Mirrors | HowToWritePrompt
A structured Image Generation prompt optimized for claude. Utilizes a 24mm optical perspective and Warm candlelight ambient illumination at 2400K with gentle highlight rolloff to produce crisp, high-detail results without artificial smoothing.
Master Prompt Template
Context: General knowledge context requiring accurate, well-structured information. Objective: Comprehensive, exhaustive response to: Large wall-to-wall mirrors"". Style: Structured and thorough — use headers, numbered steps, and examples. Tone: Expert and authoritative, but accessible. Audience: Informed general audience comfortable with technical terms. Response: Headers for each major section. Bullet points for supporting details. Cover background context, step-by-step process, technical specifications, examples, edge cases, common mistakes, best practices. Leave nothing out, Eye-level direct angle with natural perspective, captured on 24mm wide-angle perspective lens, Warm candlelight ambient illumination at 2400K with gentle highlight rolloff, natural surface physics, 8K ultra-detailed editorial photography --ar 16:9
Interactive Variable Customizer
Tweak dynamic parameters below to compile a custom prompt tailored specifically to your needs:
Prompt Architecture & Anatomy
### 📐 Structured Prompt Anatomy
- **Subject Definition**: Context: General knowledge context requiring accurate, well-structured information. Objective: Comprehensive, exhaustive response to: Large wall-to-wall mirrors"". Style: Structured and thorough — use headers, numbered steps, and examples. Tone: Expert and authoritative, but accessible. Audience: Informed general audience comfortable with technical terms. Response: Headers for each major section. Bullet points for supporting details. Cover background context, step-by-step process, technical specifications, examples, edge cases, common mistakes, best practices. Leave nothing out
- **Framing & Shot Type**: Three-quarter medium shot (Eye-level direct angle with natural perspective)
- **Optics & Focal Intent**: 24mm wide-angle perspective lens at f/2.8 balanced subject sharpness with soft background bokeh
- **Lighting Atmosphere**: Warm candlelight ambient illumination at 2400K with gentle highlight rolloff
- **Color Grading**: Warm and cool cinematic contrast with natural skin tones
- **Model Constraints**: Preserves natural skin texture; avoids oversaturated smoothing.
💡 **How To Customize**: Replace `{SUBJECT}` with your exact character or scene, or switch the Aspect Ratio to `9:16` for mobile reels and wallpaper formats.
- **Subject Definition**: Context: General knowledge context requiring accurate, well-structured information. Objective: Comprehensive, exhaustive response to: Large wall-to-wall mirrors"". Style: Structured and thorough — use headers, numbered steps, and examples. Tone: Expert and authoritative, but accessible. Audience: Informed general audience comfortable with technical terms. Response: Headers for each major section. Bullet points for supporting details. Cover background context, step-by-step process, technical specifications, examples, edge cases, common mistakes, best practices. Leave nothing out
- **Framing & Shot Type**: Three-quarter medium shot (Eye-level direct angle with natural perspective)
- **Optics & Focal Intent**: 24mm wide-angle perspective lens at f/2.8 balanced subject sharpness with soft background bokeh
- **Lighting Atmosphere**: Warm candlelight ambient illumination at 2400K with gentle highlight rolloff
- **Color Grading**: Warm and cool cinematic contrast with natural skin tones
- **Model Constraints**: Preserves natural skin texture; avoids oversaturated smoothing.
💡 **How To Customize**: Replace `{SUBJECT}` with your exact character or scene, or switch the Aspect Ratio to `9:16` for mobile reels and wallpaper formats.
Laboratory Tested & Verified
Tested on 21 August 2026Target Environment: Anthropic Claude (3.5 Sonnet)
✓ High surface detail
✓ Balanced natural lighting
△ Complex crowd composition requires higher step count
Curated & Tested by Sushil Joshi
Lead AI Prompt Engineer at HowToWritePrompt. Specializing in deterministic prompting, LLM parameters, and optical photorealism.