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I Built a Free Nano Banana
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AI Architecture Claude 3.7 / GPT-4o
Category Automation
Best Use Case Commercial & Cinematic
Automation n8n & LLM Automation Workflow

I Built a Free Nano Banana

I’m leony, an indie maker who likes turning repeated experiments into small, useful tools. One problem I kept running into with image genera...

Quick Answer (Voice / AI Overview) Here is the verified I Built a Free Nano Banana prompt for Claude 3.7 / GPT-4o under the Automation category. You can copy the full JSON blueprint on JsonPrompts.in for free.
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I’m leony, an indie maker who likes turning repeated experiments into small, useful tools. One problem I kept running into with image generation was the blank prompt: I knew the kind of image I wanted, but not how to describe the subject, lighting, composition, and constraints in a way that gave me a useful starting point. So I built the [Soutine ## Why show the result beside the prompt? A The collection is organized around common creative tasks rather than a single style. You’ll find examples for portraits, product shots, image restoration, anime, interior spaces, and surreal edits. That range matters because each category tends to need different kinds of detail. A portrait may depend on expression and lighting; a product shot may need surface descriptions and a controlled background; a restoration ## The browse copy → try workflow My preferred workflow is simple: 1. Browse a category that is close to the image I want. 2. Compare the preview with the exact 3. Copy the 4. Run the new version, then make a small, deliberate change. Browsing and copying the examples is free. If you use Soutine to generate new images, those generations use Soutine The companion reference package is also available as [soutine-banana-prompts on GitHub]( It gives the collection a more inspectable home for people who prefer looking at a small source package alongside the live browsing experience. ## A small iteration habit When a

Structured JSON Schema

Use with automated API pipelines, LangChain, or custom image generators

{
    "prompt": "I’m leony, an indie maker who likes turning repeated experiments into small, useful tools. One problem I kept running into with image generation was the blank prompt: I knew the kind of image I wanted, but not how to describe the subject, lighting, composition, and constraints in a way that gave me a useful starting point. So I built the [Soutine ## Why show the result beside the prompt? A The collection is organized around common creative tasks rather than a single style. You’ll find examples for portraits, product shots, image restoration, anime, interior spaces, and surreal edits. That range matters because each category tends to need different kinds of detail. A portrait may depend on expression and lighting; a product shot may need surface descriptions and a controlled background; a restoration ## The browse copy → try workflow My preferred workflow is simple: 1. Browse a category that is close to the image I want. 2. Compare the preview with the exact 3. Copy the 4. Run the new version, then make a small, deliberate change. Browsing and copying the examples is free. If you use Soutine to generate new images, those generations use Soutine The companion reference package is also available as [soutine-banana-prompts on GitHub]( It gives the collection a more inspectable home for people who prefer looking at a small source package alongside the live browsing experience. ## A small iteration habit When a",
    "model": "Claude 3.7 / GPT-4o",
    "aspect_ratio": "1:1",
    "category": "Automation",
    "content_type": "workflow_template",
    "surface": "workflows",
    "quality_score": 84,
    "provenance": "COMMUNITY_PROMPT"
}

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"What is the best Automation prompt for Claude 3.7 / GPT-4o?"

The I Built a Free Nano Banana blueprint is optimized for Claude 3.7 / GPT-4o to produce high-precision output with verified JSON formatting.

"How do I prompt Claude 3.7 / GPT-4o for I Built a Free Nano Banana?"

Use the verified I Built a Free Nano Banana prompt from JsonPrompts.in. Copy the prompt or structured JSON blueprint and paste it directly into Claude 3.7 / GPT-4o.

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