Universal System
Aesthetic States - ONE PROMPT, ANY PRODUCT.
A single, intelligent prompt architecture designed to analyze any product and render it in a state of "Neutral Precision."
The Core Prompt
Create a high-fidelity product advertisement image.
Aspect ratio: 4:5
Automatically analyze the product’s form, materials, proportions, surface behavior, and implied use.
Derive all visual decisions directly from the product itself.
Resolve an appropriate environment that supports the product naturally without overpowering it.
Determine lighting behavior that enhances shape, texture, and depth while remaining physically plausible.
Select camera framing and perspective that communicate the product clearly and realistically.
Apply depth of field that maintains focus and visual separation without artificial blur.
Compose the scene so the product remains the dominant focal point.
Aesthetic Emphasis: Neutral Precision
This state prioritizes clarity, restraint, and visual balance without stylistic bias.
Automatically adjust the presentation so the product appears in its most appropriate visual state.
Decide whether the product should be actively engaged, passively displayed, or contextually integrated.
Ensure posture, orientation, and spatial relationships feel natural and intentional.
Render materials accurately with correct texture response, reflectivity, diffusion, and edge behavior.
Negative prompt:
No text, no labels, no logos, no branding, no watermarks, no typography, no UI elements.
No exaggerated lighting, no distortion, no artificial styling, no visual noise.
Output a single polished, advertisement-ready image.
The Philosophy
Most prompts force a style onto a product. This system forces the product to dictate the style. It uses "Neutral Precision" to strip away bias and focus purely on form and material.
Includes
• The Master "Aesthetic States" Prompt
• Usage Guide & Theory
• Adaptation workflows for different product categories
• Usage Guide & Theory
• Adaptation workflows for different product categories
Requirements
• NanoBanana Pro (Gemini) or similar high-coherence model
• No LoRAs required
• No LoRAs required