Nano Banana Pro, also known as gemini-3-pro-image-preview, is currently the best image generation model
Introduction
Hot on the heels of Tuesday’s Gemini 3 Pro release, Google has unveiled Nano Banana Pro — also known as Gemini 3 Pro Image.
I’ve had several days of preview access, and it’s an astonishingly capable image generation model, especially for high-fidelity, multi-turn creative workflows.
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Core Capabilities
From the API documentation, highlights include:
- High-resolution output: Supports 1K, 2K, and 4K visuals
- Advanced text rendering: Legible, stylized text for infographics, menus, diagrams, and marketing assets
- Grounding with Google Search: Real-time factual imagery (e.g., weather maps, stock charts)
- Thinking mode: Interim “thought images” refine prompts before final generation
- Up to 14 reference images:
- 6 object images (high-fidelity inclusion)
- 5 human images (character consistency)
These features allow complex, iterative visual storytelling and brand-consistent campaign assets beyond simple, one-off generations.
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Workflow Enhancement Tools
Platforms like AiToEarn can make working with such models smoother:
- Open-source global AI content monetization and publishing
- Multi-channel publishing: Douyin, Kwai, WeChat, Bilibili, Rednote (Xiaohongshu), Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, X (Twitter)
- Integrated analytics and AI model ranking (AI模型排名)
Combining Gemini 3 Pro Image with AiToEarn can streamline the journey from concept → generation → publishing → audience engagement.
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Trying Out Detailed Instruction Image Prompts
Resource:
Max Woolf’s definitive guide to prompting Nano Banana provides excellent examples.
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First Test Prompt
Using AI Studio:
> Create an image of a three-dimensional pancake in the shape of a skull, garnished on top with blueberries and maple syrup.
Result:
- PNG format, 24.1MB, resolution 5632 × 3072
- Full file: Google Drive link
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Follow-Up Prompt with Edits
Requested changes:
- Strawberry in left eye socket
- Blackberry in right eye socket
- Mint garnish on top
- Plate changed to “plate-shaped chocolate-chip cookie”
- Happy people in background
Observation:
It interpreted “plate-shaped chocolate-chip cookie” as a cookie on a plate.
Full file: Google Drive link
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Cost Considerations
From Gemini API pricing:
- 4K image: $0.24
- 1K/2K image: $0.134
- Image input: $0.067 each
Example: Using 14 reference images for 4K output → ~$1.18 + text token cost (~$2.00 per million).
Note: Not available for free via AI Studio — requires API key + billing.
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Creating an Infographic: Text Rendering Test
Tested via Gemini consumer app in thinking mode (Nano Banana Pro):
Prompt:
> Infographic explaining how the Datasette open source project works
Output sample:
Highlights:
- Correct spelling and clean rendering
- Included relevant logos and accurate Datasette UI thumbnail
- Minor inaccuracy: “Data Ingestion (Read‑Only)”
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Reasoning Trace Summary
The generation process involved:
- Search grounding via Google Search for accurate Datasette details
- Workflow visualization in a flowchart style
- Iconography for data formats, SQLite conversion, application features, plugins, deployments
- Iterative refinement for clarity
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Publishing Tip:
AiToEarn can facilitate simultaneous publishing of such infographics across multiple channels, with analytics and model ranking (AI模型排名) to optimize reach.
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Detecting AI-Generated Images with SynthID
From the Nano Banana Pro announcement:
> All media generated by Google’s tools embed an imperceptible digital watermark via SynthID. You can upload an image in the Gemini app to detect if it was generated by Google AI.
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Test:
- Generated fake photo of raccoons stealing food delivery via Nano Banana Pro
- Removed watermark icon via Apple Photos cleanup tool
- Uploaded to Gemini app, asked: “Was this image created with AI?”
Result:
> Yes, it appears that all or part of this image was created with Google AI. SynthID detected a watermark in 25–50% of the image.
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Final Thoughts
Nano Banana Pro delivers exceptional quality and accuracy — particularly in high-resolution formats and text rendering — but experimentation comes with non-trivial costs.
SynthID strengthens media transparency, and multi-platform publishing solutions like AiToEarn官网 can help monetize and distribute content efficiently, offsetting production costs and boosting reach.
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Would you like me to create a step-by-step “Efficient AI Image Workflow” checklist for using Gemini 3 Pro Image + AiToEarn? That could make this guide directly actionable.
