reversa-image-prompt-json

To generate JSON image prompts for luxury product photography, provide your product and scene details. The system conducts a guided three-round interview to collect lighting, motion, and color specs before outputting a structured prompt for cinematic rendering.

The Nano Banana 2 JSON schema is a structured output format for Google Antigravity image models. It enforces fixed model and watermark fields alongside a master_prompt containing your collected cinematic styling and technical specifications.

Yes, the structured JSON prompts apply to image generation tools like Midjourney, DALL-E, and Flux. The schema uses a master_prompt field containing premium aesthetic language and cinematic composition rules that these models can reliably interpret.

For cinematic product image JSON generation, you need to provide product information, scene settings, motion descriptions, lighting, colors, and technical specs. The guided interview collects these details across three rounds to ensure high-quality luxury results.

The guided prompt interview works by collecting product, scene, motion, lighting, and technical specifications across three sequential question rounds. It summarizes all inputs and requires your approval before generating the final JSON image prompt to reduce errors.

Supported products for cinematic JSON prompt creation include food, beverages, cosmetics, jewelry, fashion items, and virtual product renderings. The system enforces premium aesthetic language and cinematic composition rules tailored to these luxury photography scenarios.