Nano Banana 2 Reference-to-Image Developer API by Google

Nano Banana 2 — جودة Pro بسرعة Flash

V2

يُعرف أيضًا باسم Gemini 3.1 Flash Image

أحدث نموذج صور من Google DeepMind يجمع بين القدرات المتقدمة لـ Nano Banana Pro وسرعة Gemini Flash — توليد أسرع 3-5 مرات، دقة تصل إلى 4K، واتساق الشخصيات لما يصل إلى 5 شخصيات في سير عمل واحد.

الجيل التالي من توليد الصور

• دقة إخراج تصل إلى 4K (مستويات 512px / 1K / 2K / 4K)
• أكثر من 10+ نسبة عرض إلى ارتفاع تشمل 21:9 و1:4 و8:1 والمزيد
• عرض نصوص دقيقة ومقروءة داخل الصور
• جودة قريبة من Pro (~95%) بسرعة Flash

التحرير الذكي والاتساق

• اتساق الشخصيات لما يصل إلى 5 شخصيات عبر المشاهد
• دقة الكائنات لما يصل إلى 14 كائنًا في سير عمل واحد
• تعديلات موجّهة عبر اللغة الطبيعية (إزالة، استبدال، تغيير الوضعية)
• دمج متعدد الصور وتكوين سلس

ما الجديد في Nano Banana 2

أسرع 3-5 مرات من Pro

مبني على بنية Gemini 3.1 Flash، يولّد Nano Banana 2 الصور القياسية في 4-8 ثوانٍ — مقارنة بـ 10-20 ثانية لـ Nano Banana Pro.

تعزيز البحث عن الصور

الميزة البارزة في NB2 — يمكنه استرجاع صور مرجعية من العالم الحقيقي عبر Google Search أثناء التوليد، مما يحسّن الدقة بشكل كبير للمعالم الشهيرة والشخصيات المعروفة وشعارات العلامات التجارية.

عرض نصوص دقيق

أنشئ نصوصًا دقيقة ومقروءة لنماذج التسويق وبطاقات التهنئة والمحتوى المحلي. يمكنك حتى ترجمة النصوص وتوطينها داخل الصورة.

اتساق متعدد الشخصيات

حافظ على الاتساق البصري لما يصل إلى 5 شخصيات و14 كائنًا عبر المشاهد — مثالي للقصص المصورة والكوميكس وحملات التسويق.

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

PromptCopy

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

PromptCopy

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

PromptCopy

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

PromptCopy

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

PromptCopy

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

PromptCopy

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

PromptCopy

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

Nano Banana 2 is powered by Gemini 3.1 Flash Image — Google DeepMind

حالات الاستخدام

🎬

القصص المصورة والكوميكس

📸

تصوير المنتجات

📊

نماذج التسويق

📱

محتوى وسائل التواصل الاجتماعي

🔤

تصميم النصوص المتراكبة

👤

تصميم الشخصيات

✨

تحرير الصور وتنقيحها

🎨

المحتوى البصري للعلامة التجارية

لماذا تختار Nano Banana 2؟

⚡

سرعة Flash

أسرع 3-5 مرات من Nano Banana Pro مع وقت توليد قياسي 4-8 ثوانٍ

🎯

جودة قريبة من Pro

يحقق حوالي 95% من جودة صور Pro في معظم السيناريوهات

💰

فعّال من حيث التكلفة

تكلفة تقارب نصف تكلفة Nano Banana Pro — مما يجعل توليد صور AI عالية الجودة أكثر سهولة في الوصول

المواصفات التقنية

البنية:Gemini 3.1 Flash (GEMPIX2)

دعم الدقة:512px إلى 4K (مستويات 512px / 1K / 2K / 4K)

نسب العرض إلى الارتفاع:1:1, 4:3, 3:4, 2:3, 3:2, 16:9, 9:16, 1:4, 4:1, 8:1, 21:9

الاتساق:حتى 5 شخصيات + 14 كائنًا لكل سير عمل

أمان المحتوى:علامة مائية SynthID، متوافق مع معيار C2PA

الوصول إلى API:Gemini API، Vertex AI، AI Studio، Gemini CLI

جرّب Nano Banana 2

توليد صور بجودة Pro وسرعة Flash — أنشئ صورًا مذهلة مع اتساق الشخصيات وعرض النصوص ودعم دقة 4K.

✨رصيد مجاني للبدء

⚡وصول فوري إلى API

🌐لا حاجة لأي إعداد

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

Video Clip Fields

Output Options

Advanced Options

How to Use

1. Provide a video clip — enter the video URL (HTTP or YouTube) and set start/end times and FPS sampling rate.
2. Write your prompt — describe the output image clearly (e.g., "Create a cinematic poster based on the key scenes in this video").
3. Add reference images (optional) — upload additional images to guide composition or style.
4. Choose aspect ratio (optional) — select a preset or leave empty for default.
5. Select resolution — choose 1K, 2K, or 4K based on your quality needs.
6. Adjust advanced settings (optional) — set thinking level or enable web search grounding.
7. 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.

SKU Prices

Pricing Formula

cost = (resolution == "2k" ? sku_2k : (resolution == "4k" ? sku_4k : sku_1k)) * images
     + (enable_web_search ? sku_web_search : 0)
     + (len(video_clips) > 0 ? sku_video_clip : 0)

Examples:

The video clip fee ($0.07) and web search fee ($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.

Related Models

• Nano Banana 2 Reference to Image — Full-featured variant with output_format, media_resolution, and enable_image_search support.
• Nano Banana 2 Edit — Edit images using text prompts and reference images (no video input).
• Nano Banana 2 Text-to-Image — Generate images from text prompts only.
• Nano Banana Pro Edit — Pro tier editing with enhanced quality.
• Nano Banana Pro Text-to-Image — Pro tier image generation.