# Nano Banana 2 by Google: Examples & Prompts

This page is a Nano Banana 2 capability explorer. The main experience is the selector above. What follows is the technical appendix. Endpoints Official Google overview: https://gemini.google/overview/image-generation/ fal-ai/nano-banana-pro for text-to-image fal-ai/nano-banana-pro/edit for single-image and multi-image edits On fal, Nano Banana 2 currently maps to the nano-banana-pro endpoints above. When Nano Banana 2 is worth it You need text or layout fidelity. You need cleaner subject consistency. You want higher-resolution marketing stills. You need edits that feel controlled instead of merely plausible. Minimal Python (text-to-image) Make sure FAL_KEY is set in your environment. python - <<'PY' import urllib.request import fal_client result = fal_client.subscribe( "fal-ai/nano-banana-pro", arguments={ "prompt": "A minimalist product photo of a tiny banana-shaped robot resting on a matte black pedestal, studio softbox lighting, clean white background, subtle shadow, macro photography.", "aspect_ratio": "1:1", "num_images": 1, "output_format": "png", "resolution": "1K", "seed": 123, "limit_generations": True, }, ) url = result["images"][0]["url"] urllib.request.urlretrieve(url, "nano-banana-pro-product.png") print("saved nano-banana-pro-product.png") PY Minimal Python (background replacement) python - <<'PY' import urllib.request import fal_client # Run this from the post directory, or update paths if needed. base_url = fal_client.upload_file("./cover.png") result = fal_client.subscribe( "fal-ai/nano-banana-pro/edit", arguments={ "prompt": "Keep the banana robot unchanged. Replace the background with a deep blue to magenta gradient, add a clean cinematic rim light, preserve the subject details, and keep the macro depth of field.", "image_urls": [base_url], "num_images": 1, "output_format": "png", "resolution": "1K", "limit_generations": True, }, ) url = result["images"][0]["url"] urllib.request.urlretrieve(url, "nano-banana-edit-pro.png") print("saved nano-banana-edit-pro.png") PY Minimal Python (multi-image edit) python - <<'PY' import urllib.request import fal_client # Run this from the post directory, or update paths if needed. subject_url = fal_client.upload_file("./cover.png") environment_url = fal_client.upload_file("./example-terrarium-empty.png") result = fal_client.subscribe( "fal-ai/nano-banana-pro/edit", arguments={ "prompt": "Use image 1 as the subject and image 2 as the environment. Place the tiny banana robot from image 1 naturally inside the terrarium from image 2. Preserve the robot's design and materials, keep the glass geometry and moss, add soft morning light and realistic reflections, and maintain a premium macro-photography look.", "image_urls": [subject_url, environment_url], "num_images": 1, "output_format": "png", "resolution": "1K", "limit_generations": True, }, ) url = result["images"][0]["url"] urllib.request.urlretrieve(url, "nano-banana-multi-edit-pro.png") print("saved nano-banana-multi-edit-pro.png") PY References Official Google overview: https://gemini.google/overview/image-generation/ Nano Banana Pro text-to-image API: https://fal.ai/models/fal-ai/nano-banana-pro/api Nano Banana Pro edit API: https://fal.ai/models/fal-ai/nano-banana-pro/edit/api Nano Banana 2 dev guide: https://fal.ai/learn/devs/nano-banana-2-api-developer-guide Nano Banana Pro launch post: https://blog.fal.ai/nano-banana-pro-is-now-available-on-fal/