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'Analyze this photo and give me a very detailed json prompt to reproduce it. It must be very detailed, and be sure to break down the color grading and all the exact colors in the photo.'Usingthis json as a reference, generate a person holding my product [{argument name="product image"default="attached product image"}]
E-commerce Main Image - JSON Prompt Generation for Hyper-Realistic AI Photos
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A detailed, multi-step workflow for generating hyper-realistic AI photos using Nano Banana Pro by leveraging ChatGPT's image analysis capabilities to create a highly specific JSON prompt based on a reference image, focusing on color grading and realism.
A highly structured JSON prompt for generating hyper-realistic commercial product photography of three different desserts (waffle cones, wafer rolls, ice cream), emphasizing frozen motion, dramatic lighting, and indulgent aesthetics.
An extremely detailed, structured JSON prompt for generating hyper-realistic commercial product photography using Gemini Nano Banana. It specifies a vertical split-screen layout featuring two modules: one for a chocolate milkshake with dynamic splashes and floating elements, and the other for a metallic Nescafé can with explosive splashes and moody atmosphere.
A structured prompt for generating a hyper-realistic commercial product photograph of an orange soda can splashing into liquid. It specifies extreme clarity, cinematic studio lighting, frozen motion (splashes, droplets), and floating elements like oranges and ice cubes, all against a solid bright orange background for a high-impact visual.
A highly structured JSON prompt for generating a hyper-realistic, ray-traced product shot (placeholder) in a Cyber-Techno style, focusing on levitation, absolute black background, complex materials (frosted glass, violet acrylic), and optical effects like chromatic aberration and cyan emissive elements.
A highly structured JSON prompt for generating commercial food photography of three chocolate chip cookies. It specifies a hyper-realistic style, 8K resolution, and a dynamic floating explosion of ingredients (chocolate chunks, sugar crystals) against a solid pastel blue studio backdrop, emphasizing frozen motion and razor-sharp focus.
A highly detailed JSON prompt for generating ultra-modern, hyper-realistic product photography of a levitating object (placeholder), emphasizing specific material textures, minimal lighting (rim light), and a pure black void background.
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Data collected and processed: IP addresses, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Users’ profiles, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data
Data collected and processed: IP addresses, Device characteristics, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Authentication-derived identifiers, Browsing and interaction data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Authentication-derived identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, User-provided data, Non-precise location data, Precise location data
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Authentication-derived identifiers, Browsing and interaction data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Users’ profiles, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, User-provided data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Users’ profiles, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
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