Google Imagen 4 generates photorealistic images with exceptional detail and natural lighting. The family includes standard, Pro, and fast variants with resolution options from 1K to 4K.
Imagen 4 is Google's latest image generation model, delivering state-of-the-art photorealism. Nano Banana 2 is the flagship variant with Fast, Standard, and Ultra modes plus resolution up to 4K and web search grounding — credits scale with quality: 10 (1K), 15 (2K), or 30 (4K). The standard Imagen 4 variant via FAL offers cost-efficient generation at 3 credits (Fast), 6 (Standard), or 9 (Ultra). Nano Banana Pro adds multi-image batch generation (up to 2 images per request). All variants produce images with natural lighting, accurate shadows, and fine texture detail that consistently rank among the most photorealistic AI outputs available. Imagen 4 particularly excels at product photography, architectural visualization, and lifestyle imagery where realism is paramount.
| Variant | Description |
|---|---|
| Nano Banana 2 | Flagship variant: Fast/Standard/Ultra modes, up to 4K, web search grounding. |
| Nano Banana Pro | Pro variant with batch generation and resolution up to 4K. |
| Imagen 4 | Standard Imagen 4 endpoint via FAL with solid photorealistic quality. |
| Nano Banana | Original Imagen variant, available for legacy workflows. |
Connect Imagen 4 with other AI models on Martini's infinite canvas. No GPU required — start free.
Get Started FreeNano Banana is the Martini-hosted variant name for Google Imagen 4. Nano Banana 2 is the flagship with Fast/Standard/Ultra modes. Nano Banana Pro adds batch generation. They all use Google's Imagen 4 architecture.
Web search grounding is a mode in Nano Banana 2 that references current web content when generating images. This improves accuracy for images of real places, products, public figures, or current events.
Imagen 4 supports up to 4K native resolution. Use Nano Banana 2 Ultra mode for maximum resolution, Standard mode for balanced quality and speed, and Fast mode for rapid iteration.
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