Black Comedy Manga Prompt Ministry Of Magic | HowToWritePrompt
High-Fidelity AI Prompt by sushil joshi
Chatgpt
Image Generation
professional
Black Comedy Manga Prompt Ministry Of Magic | 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
7
0 copies
Role: Domain expert with 10+ years of specialized knowledge. Instructions: Death throes of the copy-paste Ministry of Magic Don't use Wikipedia to programs People realizing how shallow it is Black joke style.... Steps: 1. Diagnose the full scope and identify all critical constraints. 2. Apply proven expert-level methodology — cite specific techniques. 3. Execute with precision, covering edge cases. 4. Validate output against success criteria before delivering. End Goal: Output that only a genuine expert would produce — nuanced, precise, and immediately usable. Narrowing: No generic advice. No hedging. Address edge cases. Exclude anything that would not change the outcome, Profile side angle with rim contour, 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
Role: Domain expert with 10+ years of specialized knowledge. Instructions: Death throes of the copy-paste Ministry of Magic Don't use Wikipedia to make programs People realizing how shallow it is Black joke style.... , covering edge cases. 4. Validate output against success criteria before delivering. End Goal: Output that only a genuine expert would produce — nuanced, precise, and immediately usable. Narrowing: No generic advice. No hedging. Address edge cases. Exclude anything that would not change the outcome
midjourney
--ar 16:9 --v 6.1 --style raw
Role: Domain expert with 10+ years of specialized knowledge. Instructions: Death throes of the copy-paste Ministry of Magic Don't use Wikipedia to make programs People realizing how shallow it is Black joke style.... , covering edge cases. 4. Validate output against success criteria before delivering. End Goal: Output that only a genuine expert would produce — nuanced, precise, and immediately usable. Narrowing: No generic advice. No hedging. Address edge cases. Exclude anything that would not change the outcome
Negative: --no plastic, blur, oversaturated, deformed hands, cartoon
flux
--ar 16:9
Role: Domain expert with 10+ years of specialized knowledge. Instructions: Death throes of the copy-paste Ministry of Magic Don't use Wikipedia to make programs People realizing how shallow it is Black joke style.... , covering edge cases. 4. Validate output against success criteria before delivering. End Goal: Output that only a genuine expert would produce — nuanced, precise, and immediately usable. Narrowing: No generic advice. No hedging. Address edge cases. Exclude anything that would not change the outcome
chatgpt
Role: Domain expert with 10+ years of specialized knowledge. Instructions: Death throes of the copy-paste Ministry of Magic Don't use Wikipedia to make programs People realizing how shallow it is Black joke style.... , covering edge cases. 4. Validate output against success criteria before delivering. End Goal: Output that only a genuine expert would produce — nuanced, precise, and immediately usable. Narrowing: No generic advice. No hedging. Address edge cases. Exclude anything that would not change the outcome
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
