Cyberpunk Horse Racing Illustration | HowToWritePrompt
High-Fidelity AI Prompt by sushil joshi
Chatgpt
Image Generation
professional
Cyberpunk Horse Racing Illustration | HowToWritePrompt
A structured Image Generation prompt optimized for chatgpt. Utilizes a 85mm optical perspective and Volumetric golden-hour rim light at 3800K with soft atmospheric haze to produce crisp, high-detail results without artificial smoothing.
Image Generation Prompt
Direct Copy & Paste
100 copies
Context: General knowledge context requiring accurate, well-structured information. Objective: Comprehensive, exhaustive response to: {argument name="race name" default="Tenno Sho Spring"} {argument name="style" default="cyberpunk"}. 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, Dutch tilt diagonal dynamic angle, captured on 85mm portrait prime lens, Volumetric golden-hour rim light at 3800K with soft atmospheric haze, natural surface physics, 8K ultra-detailed editorial photography --ar 16:9
Ready to paste directly into Chatgpt, Flux, or DALL·E to create this image.
Prompt Variations
Tailored versions of this prompt fine-tuned for Midjourney, Flux, DALL·E 3, and alternative styles.
gemini --ar 16:9
Context: General knowledge context requiring accurate, well-structured information. Objective: Comprehensive, exhaustive response to: {argument name="race name" default="Tenno Sho Spring"} {argument name="style" default="cyberpunk"}. 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
midjourney --ar 16:9 --v 6.1 --style raw
Context: General knowledge context requiring accurate, well-structured information. Objective: Comprehensive, exhaustive response to: {argument name="race name" default="Tenno Sho Spring"} {argument name="style" default="cyberpunk"}. 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
Context: General knowledge context requiring accurate, well-structured information. Objective: Comprehensive, exhaustive response to: {argument name="race name" default="Tenno Sho Spring"} {argument name="style" default="cyberpunk"}. 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
chatgpt
Context: General knowledge context requiring accurate, well-structured information. Objective: Comprehensive, exhaustive response to: {argument name="race name" default="Tenno Sho Spring"} {argument name="style" default="cyberpunk"}. 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
Generation Specs & Guide
Style / Mood
professional
Recommended Model
Chatgpt
### 🧠 Prompt Engineering & Structural Breakdown
- **Core Intent**: Achieve precise task completion with zero conversational filler and maximum actionable depth
- **Role & Persona**: Domain expert practitioner with specialized technical insight and pedagogical clarity
- **Context & Assumptions**: Clear input parameters, defined audience proficiency, and stated foundational assumptions
- **Constraints & Boundary Rules**: Strict negative constraints: no vague advice, no unsupported claims, adherence to requested format
- **Output Structure & Format**: Hierarchical markdown organization with bold callouts, ordered steps, and clean tabular data where applicable
- **Verification & Quality Checks**: Self-correcting validation step ensuring all prompt constraints and sub-questions are fully addressed