Why Nano Banana 2?
Nano Banana 1 briefly topped Hugging Face's trending list in late 2025 by being unreasonably good for its size and price. Nano Banana 2 (its community-adopted name for Gemini 3 Flash Image) is a full generation better on three axes that matter specifically for marketing:
- Native 4K. Past generators required an upscaler pass to hit App Store-quality resolution. Nano Banana 2 renders 4K directly — no blurring, no artifacts, no extra step.
- Readable in-image text. “APP STORE BEST OF 2026” actually comes out as those words, with kerning and alignment intact. Prior models reliably mangled anything past a single short word.
- Web grounding. Flip on
enable_web_searchand the model can pull in real brand shots, current product images, or just-released design references — not just its frozen training data.
Options that matter
Number of images (1–4)
Generate a batch in one call. Pay per image. Ideal for variant exploration — four poses of the same product, four color palettes, four copy placements.
Aspect ratio
auto, 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16. For Instagram grid use 4:5. For Stories / Reels thumbnails use 9:16. For web heroes use 16:9.
Resolution
0.5K, 1K, 2K, 4K. Use 0.5K during iteration (fast and cheap), bump to 2K for production web use, 4K for paid ads and App Store screenshots.
Thinking level
minimal for speed, high for tougher prompts — complex composition, rendered text, or multi-subject shots. high is worth it every time you’re not just iterating.
Web search grounding
Toggle on to let the model pull in current brand logos, product shots, and visual styles. Off by default to avoid surprising inclusions.
Safety tolerance
1–6 scale. Higher = looser filter. 3 is a good default; bump to 4 for fitness / health imagery that involves the body.
Workflows for app marketing
Hero shot
4K, 4:5, thinking high. Prompt: app name, product category, visual style reference (“Vogue cover”, “Apple keynote still”, “Nike ad”). Expect to iterate 3–5 times before landing.
App Store screenshots
Generate four 4K images in a single call — each matched to a feature card. The readable in-image text means you can put your feature copy directly in the render, not over the top in post.
Ad variants
1K, batch of 4, auto aspect ratio. Test copy placement, color mood, and subject framing in one call. Promote the winners to 4K for production.
Character sheet
For a brand mascot: prompt four angles in one 2K batch. Use the sheet as reference images for Seedance 2.0 video to keep the mascot consistent across scenes.
Prompt patterns
Marketing image prompts are half art direction, half copywriting. Two patterns that consistently work:
Subject / style / technical stack
Subject: “A fitness-app hero showing a woman mid-stride on a city street at sunrise.” Style: “Nike-ad aesthetic, warm color grade, motion blur.” Technical: “4K, 4:5, shot on 35mm film, soft shadows, golden hour.”
In-image text prompts
Quote the exact text: “The billboard in the background reads “TRACK YOUR STREAK” in bold condensed sans-serif.” Be explicit about placement and font character — Nano Banana 2 respects both.
For detailed prompt engineering, see Google DeepMind's Gemini 3 image documentation.
Using images as video references
The killer feature of generating images inside the same studio as videos is the “Generate image” button that sits inside the video tab's media section. One click opens a Nano Banana 2 dialog; the output lands directly into the video's reference-image list.
In practice this means you can:
- Generate a character (Nano Banana 2, 2K, character sheet prompt).
- Pipe four angles into Seedance 2.0 reference-to-video.
- Get a 10-second clip where the character stays consistent.
Before this workflow existed, keeping a character consistent across a 3-shot ad was a three-day job. With it, it's ten minutes.
SynthID and AI disclosure
Every Nano Banana 2 image ships with an invisible SynthID watermark embedded in the pixels. It's undetectable by eye and robust to normal edits (crop, color grade, compression). Google's verifier tool can identify the image as AI-generated.
That doesn't stop you from using the image commercially — it just means if a journalist or an AI-verification service checks, they'll know. For app marketing specifically: nobody cares, but a few ad networks and the EU AI Act (from Aug 2026) are starting to require AI-disclosure labels on synthetic imagery. Plan accordingly.
Nano Banana 2 vs Imagen 4 / Flux / Midjourney
vs Imagen 4
Same Google family, more general-purpose. Imagen 4 has slightly richer color but can’t match Nano Banana 2’s rendered-text accuracy or 4K cost efficiency.
vs Flux Pro
Flux still wins for hyper-real faces and stylized illustration. Nano Banana 2 wins for product shots, UI mocks, and anything with text in the frame.
vs Midjourney v7
Midjourney has the most opinionated aesthetic — great for moody brand work, less great for an honest product render. Nano Banana 2 is more neutral and takes direction better.
vs DALL·E 3 / gpt-image-1
OpenAI’s image models are strong on creative compositions but capped at 1024×1024. For anything going to an App Store page or a paid ad, Nano Banana 2’s 4K matters a lot.
Sources & further reading
Official product pages, APIs, and background reading for models and tools mentioned in this guide. Newly is not affiliated with these vendors; links are for your own research.
- Fal — Nano Banana 2 (text-to-image)
The Google image model discussed here as “Nano Banana 2”, exposed as an API and playground on Fal (what Newly calls through for image generation in Marketing Studio).
- Google DeepMind — Gemini
Family overview; Gemini 3 Flash Image is the product line behind the commercial image capabilities referenced in this guide.
- Google AI for Developers — Image generation (Gemini API)
Official API documentation for text-to-image and related configuration (thinking levels, aspect ratio, and safety are described in the broader Gemini docs).
- Google DeepMind — SynthID
Background on the invisible watermarking technology shipped with many Google image outputs.
- Google Cloud — Imagen on Vertex AI
Google’s “Imagen” line for enterprises; useful comparison point when the article mentions Imagen 4 vs Nano Banana 2.
- Black Forest Labs — FLUX
Home of the FLUX family of open-weight and hosted image models, referenced as “Flux Pro” in comparisons.
- Midjourney — documentation
Official docs for the Midjourney v7 class of models mentioned as a style-heavy alternative to marketing product shots.
- OpenAI — DALL·E 3
OpenAI’s image product line, noted in the article for typical resolution limits vs 4K marketing deliverables.
- Hugging Face — text-to-image model hub
Public leaderboards and community models; the article refers to 2026 Hugging Face “trending” context for the original Nano Banana naming wave.
- Fal — home
Serverless inference and pricing for many of the generative media APIs (including the per-image prices cited for Nano Banana 2 in this guide).