Nano Banana 2 Reference-to-Image Developer API by Google
google/nano-banana-2/reference-to-image-developer
Reference-to-image-developer
Google's advanced AI-powered video-to-image generation model, designed to generate high-quality static images from video clips combined with text instructions.
Nano Banana 2 — Pro-kwaliteit op Flash-snelheid
V2
Ook bekend als Gemini 3.1 Flash Image
Het nieuwste beeldmodel van Google DeepMind combineert de geavanceerde mogelijkheden van Nano Banana Pro met de snelheid van Gemini Flash — met 3-5x snellere generatie, tot 4K resolutie en karakterconsistentie voor maximaal 5 personages in één workflow.
10+ beeldverhoudingen waaronder 21:9, 1:4, 8:1 en meer
Nauwkeurige en leesbare tekstweergave in afbeeldingen
Bijna Pro-kwaliteit (~95%) op Flash-snelheid
Intelligente bewerking en consistentie
Karakterconsistentie voor maximaal 5 personages in verschillende scènes
Objectgetrouwheid voor maximaal 14 objecten in één workflow
Gerichte bewerkingen via natuurlijke taal (verwijderen, vervangen, herpositioneren)
Multi-image blending en naadloze compositie
Wat is nieuw in Nano Banana 2
3-5x sneller dan Pro
Gebouwd op de Gemini 3.1 Flash-architectuur genereert Nano Banana 2 standaardafbeeldingen in 4-8 seconden — vergeleken met 10-20 seconden voor Nano Banana Pro.
Beeldzoek-grounding
Het opvallendste kenmerk van NB2 — het kan real-world referentieafbeeldingen ophalen via Google Search tijdens het genereren, waardoor de nauwkeurigheid voor bezienswaardigheden, beroemde personen en merklogo's aanzienlijk verbetert.
Nauwkeurige tekstweergave
Genereer nauwkeurige, leesbare tekst voor marketingmockups, wenskaarten en gelokaliseerde content. Je kunt zelfs tekst binnen een afbeelding vertalen en lokaliseren.
Multi-karakter consistentie
Behoud visuele consistentie voor maximaal 5 personages en 14 objecten in verschillende scènes — perfect voor storyboards, strips en marketingcampagnes.
Prompt Examples & Templates
Explore curated prompt templates showcasing Nano Banana 2's key capabilities — text rendering, character consistency, search grounding, and 4K output.
Text Rendering
Marketing Mockup with Text
Generate marketing visuals with accurate, legible text — one of NB2's standout improvements
Prompt
A minimalist coffee shop promotional poster with the text 'MORNING BREW — Fresh Roasted Daily' in elegant serif font, warm earth tones, steam rising from a ceramic cup, clean layout with plenty of whitespace
Character Consistency
Multi-Scene Character
Maintain character consistency across multiple scenes — supports up to 5 characters per workflow
Prompt
A young woman with short red hair and freckles, wearing a green jacket, standing in a rainy Tokyo street at night with neon reflections on wet pavement, cinematic lighting, photorealistic
Photo to Action Figure
Person to Action Figure
Transform people from photos into collectible action figures with custom packaging
Prompt
Transform the person in the photo into an action figure, styled after [CHARACTER_NAME] from [SOURCE / CONTEXT]. Next to the figure, display the accessories including [ITEM_1], [ITEM_2], and [ITEM_3]. On the top of the toy box, write "[BOX_LABEL_TOP]", and underneath it, "[BOX_LABEL_BOTTOM]". Place the box in a [BACKGROUND_SETTING] environment.
Search Grounding
Real-World Reference Generation
Leverage Image Search Grounding to generate accurate real-world subjects like landmarks and brands
Prompt
A photorealistic aerial view of the Eiffel Tower at golden hour, with the Seine River winding through Paris below, warm sunset light casting long shadows, high detail, 4K resolution
Product Photography
Product Design Render
Create professional product photography with precise control over lighting and composition
Prompt
A frosted glass perfume bottle with a marble cap on a white marble surface, soft studio lighting from the left, subtle reflections, minimalist luxury aesthetic, product photography style
Style Transfer
Artistic Style Transformation
Apply diverse artistic styles while maintaining subject integrity
Prompt
Transform this photo into Studio Ghibli animation style, keeping the same composition and subjects, lush watercolor backgrounds, soft diffused lighting, whimsical atmosphere
4K Output
Ultra High Resolution Scene
Generate detailed scenes at up to 4K resolution with rich textures
Prompt
A cozy Japanese ramen shop interior at night, steam rising from bowls, warm amber lighting, detailed wooden counter with various condiments, a chef working in the background, 4K, ultra detailed
Toepassingen
🎬
Storyboarding en strips
📸
Productfotografie
📊
Marketingmockups
📱
Social media content
🔤
Tekstoverlay-ontwerp
👤
Karakterontwerp
✨
Fotobewerking en retouchering
🎨
Visuele merkcontent
Waarom kiezen voor Nano Banana 2?
⚡
Flash-snelheid
3-5x sneller dan Nano Banana Pro met een standaard generatietijd van 4-8 seconden
🎯
Bijna Pro-kwaliteit
Bereikt ongeveer 95% van de beeldkwaliteit van Pro in de meeste scenario's
💰
Kostenefficiënt
Ongeveer de helft van de kosten van Nano Banana Pro — waardoor hoogwaardige AI-beeldgeneratie toegankelijker wordt
Consistentie:Maximaal 5 personages + 14 objecten per workflow
Contentveiligheid:SynthID-watermerk, compatibel met C2PA-standaard
API-toegang:Gemini API, Vertex AI, AI Studio, Gemini CLI
Ervaar Nano Banana 2
Beeldgeneratie op Pro-niveau met Flash-snelheid — maak verbluffende visuals met karakterconsistentie, tekstweergave en 4K resolutie-ondersteuning.
✨Gratis credits om te starten
⚡Direct API-toegang
🌐Geen installatie vereist
Google Nano Banana 2 Reference to Image Developer
Nano Banana 2 Reference to Image Developer (Gemini 3.1 Flash Image) is Google's advanced AI-powered video-to-image generation model, designed to generate high-quality static images from video clips combined with text instructions. Built on the same cutting-edge model as Nano Banana 2 Edit, it adds the ability to use video content as a rich reference source — extracting visual context, themes, and key frames to synthesize new images with precision and semantic awareness.
This is the developer-tier variant of Nano Banana 2 Reference to Image, offering a streamlined parameter set. It is ideal for API integrations and workflows where output format flexibility and per-frame media resolution control are not required.
Why Choose This?
Video as reference — Provide a video clip (HTTP URL or YouTube URL) and let the model extract its visual context to guide image generation.
Multi-image reference — Optionally upload up to 10 additional reference images to complement the video input for complex compositions.
Natural language control — Describe exactly what you want with a text prompt; the model understands context, themes, and relationships from both the video and text.
Thinking levels — Choose how much internal reasoning the model applies — higher thinking levels improve quality on complex tasks.
Web search grounding — Optionally enable real-time web search to enrich generation with current information.
Multi-resolution output — Generate at 1K, 2K, or 4K resolution.
Flexible aspect ratios — Multiple options including 1:1, 3:2, 2:3, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, and 21:9.
How It Works
The model analyzes your video clip by sampling frames at the specified FPS rate, then interprets the visual content within its multimodal context window. Combined with your text prompt and any additional reference images, it synthesizes a new image grounded in the video's themes, style, and key visual elements. This makes it especially powerful for creating content that is visually consistent with existing video assets.
Parameters
Core Inputs
Parameter
Required
Description
prompt
Yes
Text description of the desired output image
video_clips
Yes
Source video clip(s) for reference generation (max: 1, see below)
Reasoning depth: default, high, minimal. Higher levels improve quality on complex tasks but increase latency.
enable_web_search
No
If enabled, grounds generation with real-time web information.
How to Use
Provide a video clip — enter the video URL (HTTP or YouTube) and set start/end times and FPS sampling rate.
Write your prompt — describe the output image clearly (e.g., "Create a cinematic poster based on the key scenes in this video").
Add reference images (optional) — upload additional images to guide composition or style.
Choose aspect ratio (optional) — select a preset or leave empty for default.
Select resolution — choose 1K, 2K, or 4K based on your quality needs.
Adjust advanced settings (optional) — set thinking level or enable web search grounding.
Run — submit and download your generated image.
Pricing
The total cost is determined by the output image resolution multiplied by the number of output images, plus optional per-request fees for video clip input and web search grounding.
The video clip fee (0.07)andwebsearchfee(0.014) are each charged once per request when the respective feature is enabled, regardless of content volume.
Best Use Cases
Video Thumbnail Generation — Automatically create compelling thumbnails that reflect the video's content and mood.
Promotional Posters — Generate movie-style or campaign posters grounded in actual video footage.
Scene Summarization Art — Create visual summaries or highlight artwork from long-form video content.
Brand Content Creation — Produce consistent image assets from brand video campaigns.
Educational Infographics — Transform instructional videos into static visual materials.
Social Media Assets — Generate platform-optimized images (vertical, square, landscape) from video content.
Pro Tips
Use low FPS (0.5–1) for long videos to keep token usage within limits while still capturing key frames.
Set precise start/end times to focus the model on the most relevant segment of your video.
Combine specific text prompts with the video input — vague prompts may produce generic results.
Add reference images alongside the video to guide composition style more precisely.
Use thinking_level: high for complex scene interpretations or when visual fidelity matters most.
YouTube URLs are supported directly — no need to download and re-upload public videos.
2K offers excellent quality at a reasonable price — only $0.04 more than 1K per image.
If you need output_format (PNG/JPEG) or media_resolution control, use the standard Reference to Image model instead.
Notes
Both prompt and video_clips are required fields.
Maximum video clips: 1 per request.
HTTP video URLs are limited to 15MB; use YouTube URLs for larger videos.
Maximum additional reference images: 10.
FPS range: 0–24. Higher FPS captures more frames but consumes more tokens.
The video clip fee ($0.07) is a flat per-request charge, not per frame or per second.
Output format is not configurable in this variant; use the standard model if PNG/JPEG selection is required.
Ensure your content and prompts comply with Google's Safety Guidelines.
Atlas Cloud Skills integreert meer dan 300 AI-modellen rechtstreeks in uw AI-codeerassistent. Eén commando om te installeren, gebruik daarna natuurlijke taal om afbeeldingen, video's te genereren en te chatten met LLMs.
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OpenAI Codex
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Cursor
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Amp
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40+ ondersteunde clients
Installeren
bash
npx skills add AtlasCloudAI/atlas-cloud-skills
API-sleutel instellen
Haal uw API-sleutel op via het Atlas Cloud dashboard en stel deze in als omgevingsvariabele.
bash
exportATLASCLOUD_API_KEY="your-api-key-here"
Mogelijkheden
Eenmaal geïnstalleerd kunt u natuurlijke taal gebruiken in uw AI-assistent om toegang te krijgen tot alle Atlas Cloud modellen.
BeeldgeneratieGenereer afbeeldingen met modellen zoals Nano Banana 2, Z-Image en meer.
VideocreatieMaak video's van tekst of afbeeldingen met Kling, Vidu, Veo, enz.
LLM-chatChat met Qwen, DeepSeek en andere grote taalmodellen.
Media uploadenUpload lokale bestanden voor beeldbewerking en afbeelding-naar-video workflows.