Generate hyper-realistic images using a strict JSON prompt schema with explicit camera parameters.
npx skills add https://github.com/cuteribs/vibe-marketplace --skill banana2
Please help me install this Agent Skill. Skill: banana2 Source: https://github.com/cuteribs/vibe-marketplace/tree/main/plugins/banana2/skills/banana2 Command: npx skills add https://github.com/cuteribs/vibe-marketplace --skill banana2
This skill provides a standardized, controlled approach to generating hyper-realistic images by enforcing a strict, parameterized JSON prompt schema, removing biases and ensuring reproducible outputs.
Provide a detailed, schema-conforming JSON prompt and pass it to the generate_image tool to produce the image.
High-intent search queries and answers about installing and using this skill.
Generate hyper-realistic images with deterministic outputs by enforcing a strict, parameterized JSON prompt schema that specifies camera parameters, negative prompts, and safety constraints to reduce variability and bias.
For photorealistic image generation, you can satisfy exact camera parameters including focal length, aperture, and ISO alongside explicit negative prompts within the JSON schema to ensure consistent optical realism.
Use a JSON prompt schema for product visuals and scene renders by populating fields like task, output, image_quality_simulation, subject, environment, and controlnet to produce deterministic, ultra-detailed promotional materials.
Yes, this approach works with Nano Banana 2 or compatible models by passing the detailed, schema-conforming JSON prompt to the generate_image tool to produce hyper-realistic images.
Hyper-realistic image prompts produce inconsistent results due to variability and bias, which you reduce by enforcing a strict JSON prompt schema with explicit camera parameters and negative prompts for deterministic image generation.
You need a strict JSON schema for image generation when you require standardized, controlled approaches to produce reproducible outputs for ultra-detailed portraits, product visuals, or scene renders without biases.
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