The prompt
{
"shot": {
"composition": "medium full-body shot with the subject reclining on a white curved platform against a deep black background",
"camera_proximity": "medium_full_shot",
"camera_angle": "eye_level",
"film_grain": "digital_clean_no_grain"
},
"subject": {
"description": "female subject whose facial features, hair appearance, body proportions and overall look match the reference image, captured in a serene editorial pose",
"wardrobe": "white fuzzy tube top paired with matching shorts and oversized white fuzzy earmuffs",
"emotion_and_mood": "calm, elegant, minimal",
"pose": "reclining on the curved platform with the right arm supporting the upper body and the left arm resting softly on the thigh, gaze directed off-camera to the right"
},
"visual_details": {
"action": "static composed pose emphasizing clean lines and contrast between textures",
"props": "white curved platform, chunky silver bracelets worn on both wrists"
},
"scene": {
"location": "minimalist indoor studio with a black backdrop",
"time_of_day": "controlled studio lighting",
"environment": "clean modern studio space with strong contrast between white elements and dark surroundings"
},
"cinematography": {
"lighting": "soft_key",
"tone": "minimal",
"color_palette": "high_contrast_bw"
},
"visual_style": {
"style": "modern minimalist fashion editorial",
"elements": "soft spotlight from the front-left creating gentle highlights and shadows, smooth skin tones, crisp silhouette separation from background, refined texture contrast, no text, no logos"
}
}
How to use this prompt
Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.
Which AI model works best
Claude Opus 4 and Sonnet 4.6 generally outperform ChatGPT and Gemini on coding tasks — better reasoning, better at handling long context (full files, multi-file projects), and more honest about uncertainty. ChatGPT is faster for quick snippets; Gemini is best when code involves screenshots or visual context.
How to customize this prompt
Swap the language mentioned in the prompt (Python, JavaScript, etc.) for whichever stack you're on. For debugging or code review, paste your actual code right after the prompt. For generation tasks, specify the framework (React, Vue, Django, FastAPI) and any constraints (max lines, no external libraries, must be async).
Common use cases
- Writing production code with strict style requirements
- Reviewing pull requests and catching bugs before merge
- Converting between languages (Python → TypeScript, for example)
- Generating unit tests for existing functions
- Explaining unfamiliar codebases to new team members
Variations
Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).
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