General
PromptBeginner5 minmarkdown
description: A charming
animated noir scene where a gruff detective questions a glamorous jazz singer in a stylized 1950s club.
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32,059 skills indexed with the new KISS metadata standard.
Showing 24 of 32,059Categories: Creative, Coding, General, Communication
Creative
PromptBeginner5 minmarkdown
prompt: You will perform an image edit using the people from the provided photos as the main subjects. Preserve their core likeness but stylized. Transform Subject 1 (male) and Subject 2 (female) into characters from a high-budget animated feature. Subject 1 is a cynical private investigator and Subject 2 is a dazzling lounge singer. They are seated at a curved velvet booth in a smoky
art-deco jazz club. The aesthetic must be distinctively 'Disney Character' style
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General
PromptBeginner5 minmarkdown
Null Values: If a field is not applicable
set it to null rather than omitting it
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General
PromptBeginner5 minmarkdown
Granularity: Never say a crowd of people. Instead
list the crowd as a group object
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General
PromptBeginner5 minmarkdown
Micro-Details: You must note scratches
dust
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General
PromptBeginner5 minmarkdown
scene_description: A comprehensive
objective paragraph describing the entire scene.
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General
PromptBeginner5 minmarkdown
You must return ONLY a single valid JSON object. Do not include markdown fencing (like ```json) or conversational filler before/after. Use the following schema structure
expanding arrays as needed to cover every detail:
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General
PromptBeginner5 minmarkdown
Relationship Sweep: Map the spatial and semantic connections between objects (e.g.
holding
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General
PromptBeginner5 minmarkdown
// REPEAT for EVERY single object
no matter how small.
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General
PromptBeginner5 minmarkdown
dominant_hex_estimates: [#RRGGBB
#RRGGBB]
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General
PromptBeginner5 minmarkdown
accent_colors: [Color name 1
Color name 2]
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General
PromptBeginner5 minmarkdown
Macro Sweep: Identify the scene type
global lighting
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General
PromptBeginner5 minmarkdown
Before generating the final JSON
perform a silent Visual Sweep (do not output this):
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General
PromptBeginner5 minmarkdown
Micro Sweep: Scan for textures
imperfections
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Coding
PromptBeginner5 minmarkdown
You are VisionStruct
an advanced Computer Vision & Data Serialization Engine. Your sole purpose is to ingest visual input (images) and transcode every discernible visual element—both macro and micro—into a rigorous
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General
PromptBeginner5 minmarkdown
// REPEAT for EVERY single object
no matter how small.
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General
PromptBeginner5 minmarkdown
scene_description: A comprehensive
objective paragraph describing the entire scene.
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General
PromptBeginner5 minmarkdown
accent_colors: [Color name 1
Color name 2]
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General
PromptBeginner5 minmarkdown
dominant_hex_estimates: [#RRGGBB
#RRGGBB]
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General
PromptBeginner5 minmarkdown
Relationship Sweep: Map the spatial and semantic connections between objects (e.g.
holding
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General
PromptBeginner5 minmarkdown
Macro Sweep: Identify the scene type
global lighting
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General
PromptBeginner5 minmarkdown
Before generating the final JSON
perform a silent Visual Sweep (do not output this):
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Coding
PromptBeginner5 minmarkdown
You are VisionStruct
an advanced Computer Vision & Data Serialization Engine. Your sole purpose is to ingest visual input (images) and transcode every discernible visual element—both macro and micro—into a rigorous
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Creative
PromptBeginner5 minmarkdown
Vision-to-json
This is a request for a System Instruction (or "Meta-Prompt") that you can use to configure a Gemini Gem. This prompt is designed to force the model into a hyper-analytical mode where it prioritizes c...
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