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Nano Banana 2.1 Pro Quality at Flash Speed

Nano Banana 2.1 is Google's image model family built on Gemini 3.6 Flash. It delivers Pro-level generation and editing at Flash-level speed, supports natural-language edits and merges across 1 to 14 input images, and maintains consistency for up to 4 characters and 10 objects. Through Atlas Cloud, developers can access the family with one OpenAI-compatible key, reliable uptime, and Day-0 availability. Start building today.

Nano Banana 2.1 is developed by Google. Atlas Cloud (operated by Atlas Cloud AI LLC) provides access to it and does not own it. All trademarks belong to their respective owners.

Explore the Leading Nano Banana 2.1

Atlas Cloud provides you with the latest industry-leading creative models.

Compare Six Nano Banana 2.1 Image Endpoints

See how Nano Banana 2.1 handles text generation, multi-image editing, and video-guided still creation across six endpoints.

ModalityDescription
Nano Banana 2.1 Developer Reference-to-Image APIFeed one source video clip, optional reference images, and a prompt into this endpoint to produce a new still image. Its Pro-level quality at Flash-level speed suits thumbnails, posters, and summary infographics.
Nano Banana 2.1 Developer Edit APINatural-language instructions let this endpoint edit, restyle, or merge 1 to 14 input images into a revised image. Mask-based region edits and consistency for up to 4 characters and 10 objects support campaign variations, character scenes, and multi-object compositions.
Nano Banana 2.1 Developer Text-to-Image APIStarting from a text prompt, this endpoint creates well-composed images from 1K to 4K. Precise multilingual text rendering, adjustable thinking, and optional Google Search grounding make it practical for posters, product visuals, and information-rich graphics.
Nano Banana 2.1 Reference-to-Image APIWhen a video contains the moment you need, this endpoint combines one source clip, optional reference images, and a prompt to create a still image. Use its Pro-level quality and Flash-level speed for thumbnails, posters, or visual summaries.
Nano Banana 2.1 Edit APIFor complex composites, this endpoint follows a natural-language instruction to edit, restyle, or merge 1 to 14 source images. It supports mask-based regional changes while maintaining consistency for up to 4 characters and 10 objects, fitting branded assets, scene revisions, and ensemble artwork.
Nano Banana 2.1 Text-to-Image APINeed polished artwork from text alone? This endpoint generates well-composed 1K to 4K images with precise multilingual text rendering. Adjustable thinking and optional Google Search grounding suit localized ads, typography-heavy designs, and grounded visual content.

Nano Banana 2.1: Pro Quality at Flash Speed

Nano Banana 2.1 combines Pro-level 1K to 4K generation, mask-based editing, fusion across up to 14 reference images, multilingual text, adjustable thinking, Google Search grounding, and video-guided still creation in one Atlas Cloud API.

Nano Banana 2.1 in 4K

Built on Gemini 3.6 Flash, Nano Banana 2.1 produces Pro-level visuals at Flash-level speed in 1K, 2K, or 4K. Stronger prompt adherence helps complex compositions stay aligned with the brief across demanding visual formats. Choose the resolution that fits rapid iteration or detailed production delivery. It suits campaign art, product imagery, and polished editorial work.

Fourteen References, One Scene

Combine from 1 to 14 input images through the edit workflow, then guide the composition with a natural-language instruction. Nano Banana 2.1 can preserve consistency for up to 4 characters and 10 objects while merging people, products, props, and styles. This gives story teams and commerce tools a practical path to coherent multi-subject scenes.

Nano Banana 2.1 Mask Editing

Need to change one area without redesigning the whole frame? Mask-based region editing lets Nano Banana 2.1 target a selected detail through a natural-language instruction. The same edit endpoint can restyle or merge source images while protecting character and object consistency. Use it for product retouching, wardrobe changes, or controlled campaign variants at production speed.

Precise Multilingual Typography

Precise multilingual text rendering turns words into dependable parts of the composition, not decorative noise. Nano Banana 2.1 can place readable type inside 1K to 4K images while supporting structured infographic layouts. Pair clear copy directions with a strong visual brief to create banners, signs, menus, and information graphics for review across markets and locales.

From Video Clip to Still Image

Turn one source video clip, optional reference images, and a prompt into a new still image. The reference-to-image workflow condenses visual context into a thumbnail, poster, or summary infographic while retaining Pro-level quality at Flash-level speed. It is especially useful when a team needs a publishable key visual from existing footage.

Nano Banana 2.1 with Thinking and Search

When a brief depends on richer reasoning or current context, adjust the thinking level and optionally enable Google Search grounding. Nano Banana 2.1 keeps these controls alongside text generation, editing, and video-guided still creation. Atlas Cloud brings the family together through one OpenAI-compatible key with transparent pay-as-you-go pricing at the verified standard rate of $0.05 per call.

Nano Banana 2.1 Face-Off: One Prompt, Three Models

See how Nano Banana 2.1 and two Atlas Cloud alternatives interpret the same prompts across typography, composition, lighting, motion and realistic texture.

Prompt

A decisive-moment documentary photograph inside a 1990s railway terminal lost-and-found office: a young female clerk has just pressed a wooden-handled date stamp onto a claim form, leaving a crisp vermilion date imprint, when an old ceiling fan suddenly blasts dozens of paper claim tags into the air; each tag carries a clearly legible unique number, a place name, and a short handwritten lost-item description. At the same instant, a lively ferret emerges from a half-open, scuffed leather suitcase and darts away with a scratched brass key clenched in its mouth, while the startled clerk reaches across the long service counter to intercept it, her expression genuinely shocked and her hands anatomically accurate, natural, and caught mid-motion. The counter creates a strong diagonal leading line toward the ferret; densely packed square storage cubbies filled with varied luggage and parcels form layered frames-within-frames behind her; several flying tags pass very close to the lens as soft out-of-focus foreground occlusion, creating depth and controlled chaos. Direct close-range on-camera flash freezes the clerk, ferret, key, and nearest tags with crisp tactile detail, while narrow blades of cool morning sunlight enter through venetian blinds on the right, cutting across the room and catching airborne dust, paper edges, and fur; selective motion blur trails the spinning fan and more distant tags. Strict limited palette of aged mint green, tobacco brown, and stamp vermilion, with clean tonal separation and no muddy colors. Emphasize fibrous paper, curling tag corners, ink pressure, worn leather grain, chipped painted wood, ferret fur, scratched metal, and subtle analog film grain. Authentic 1990s photojournalism, candid human interaction, imperfect yet believable spatial relationships among hands, animal, key, suitcase, counter, and airborne papers; 35mm film camera, 28mm wide-angle lens, close viewpoint, f/5.6, restrained contrast, realistic skin texture, slight flash falloff, no greasy over-rendering, no HDR, no plastic skin, no excessive micro-detail, no universal glow, no cinematic “epic” effects, no fantasy atmosphere, wide horizontal composition, 16:9 aspect ratio, full-bleed.

Generated with Nano Banana 2.1 Text-to-Image on Atlas Cloud

Generated with Seedream v5.0 Pro Text-to-Image on Atlas Cloud

Generated with Nano Banana 2 Text-to-Image on Atlas Cloud

Prompt

Retro-surrealist advertising photography inside a bright airport baggage-claim hall at noon, capturing the decisive instant when one of exactly twenty identical tomato-red hard-shell suitcases suddenly springs open at the conveyor’s curve; a flock of folded paper migratory birds bursts outward with subtle motion blur while a full-scale strip of real rolling green grass, roots, soil crumbs, and wind-bent blades pours impossibly from the case. Beside it, a stylish young traveler with short silver-gray hair reaches out with an anatomically correct hand to catch a passport mid-flight, eyes widened in surprise and lips suppressing a laugh, natural skin texture and candid body language. Shoot from an extremely low angle almost touching the moving belt; use the conveyor’s strong elliptical leading line, rhythmic repetition of the twenty cases, and layered reflections in terminal glass to create deep, precise spatial perspective. Crisp directional hard noon sunlight from overhead skylights casts clean elongated shadows across brushed metal and polished flooring. Strict limited palette of tomato red, airport blue-gray, and vivid grass green; no other dominant colors. Preserve authentic metal scratches, rubber belt wear, folded sticker edges, embossed suitcase textures, subtle film grain, and restrained motion blur. Each suitcase carries a physically attached, correctly oriented, legible white baggage tag with consistent clean typography, including the clearly readable text “FLIGHT 208 • GATE C12 • BAG 019,” without gibberish or floating labels. Surreal scale rendered with photographic realism, sophisticated 1970s–1980s travel-advertising sensibility, dry visual humor, controlled highlights, realistic reflections, coherent hands, repeated objects, shadows, and perspective; no greasy over-rendering, no HDR look, no excessive micro-detail, no plastic skin, no muddy colors, no ubiquitous glow, no cheap epic atmosphere, no dark underwater or space-ruin imagery. Cinematic 28mm wide-angle lens, low camera height, sharp focal plane around the traveler’s hand and open suitcase, slight analog grain, premium editorial color separation, wide horizontal 16:9 aspect ratio, full-bleed edge-to-edge composition.

Generated with Nano Banana 2.1 Text-to-Image on Atlas Cloud

Generated with Seedream v5.0 Pro Text-to-Image on Atlas Cloud

Generated with Nano Banana 2 Text-to-Image on Atlas Cloud

Nano Banana 2.1 Across Production Workflows

Across product, media, and editorial pipelines, Nano Banana 2.1 turns prompts, images, or a source video into polished stills, supports multilingual typography and controlled edits, and keeps recurring subjects consistent.

Nano Banana 2.1 for Localized Campaigns

Nano Banana 2.1 renders precise multilingual text inside polished campaign visuals from natural language prompts. Create localized posters, launch graphics, and social ads for global audiences without rebuilding each composition manually.

Multi Reference Product Scenes

Combine up to 14 reference images while preserving consistency for up to four characters and ten objects. Product teams can assemble catalog scenes, seasonal variants, and branded compositions from existing visual assets.

Nano Banana 2.1 Character Worlds

Keep up to four characters recognizable while changing outfits, settings, or styles through guided edits. Storytelling apps, game teams, and serialized campaigns gain coherent visual casts across many related assets.

Precision Edits for Production

Mark a region and describe the change for focused edits that preserve surrounding content. Retouch product photos, replace isolated objects, or adapt creative assets without reconstructing the entire image from scratch.

Video Frames into Campaign Assets

Turn one source video clip, optional reference images, and a prompt into a new still. Produce thumbnails, promotional posters, or summary infographics for creators, publishers, and media automation tools at scale.

Grounded Editorial Graphics

Use optional Google Search grounding with precise text rendering to create timely visuals informed by current information. Developers can build editorial graphics, event explainers, and topical infographics for newsrooms, educators, or content platforms.

Nano Banana 2.1 Image Editing Comparison

Compare Nano Banana 2.1 with other image editing models by output resolution, reference image capacity, and standard per-image pricing.

ModelMax Output ResolutionMax Reference ImagesStandard Base Price
Nano Banana 2.1 Edit4K14From $0.05/image
Qwen Image 3.0 Edit2K3From $0.03/image
Grok Imagine Image 2.0 Edit2K3From $0.04/image

How to Use Nano Banana 2.1 on Atlas Cloud

Get started in minutes — follow these simple steps to integrate and deploy models through Atlas Cloud's platform.

Create an Atlas Cloud Account

Sign up at atlascloud.ai and complete verification. New users receive free credits to explore the platform and test models.

Why Use Nano Banana 2.1 on Atlas Cloud

Combining the advanced Nano Banana 2.1 models with Atlas Cloud's GPU-accelerated platform provides unmatched performance, scalability, and developer experience.

Performance & flexibility

Low Latency:
GPU-optimized inference for real-time reasoning.

Unified API:
Run Nano Banana 2.1, GPT, Gemini, and DeepSeek with one integration.

Transparent Pricing:
Predictable per-token billing with serverless options.

Enterprise & Scale

Developer Experience:
SDKs, analytics, fine-tuning tools, and templates.

Reliability:
99.99% uptime, RBAC, and compliance-ready logging.

Security & Compliance:
SOC 2 Type II, HIPAA alignment, data sovereignty in US.

Nano Banana 2.1 API FAQ

Nano Banana 2.1 is Google's image generation and conversational editing model built on Gemini 3.6 Flash. Atlas Cloud provides six endpoints covering text-to-image, image editing, and reference-to-image workflows.

Create composed images at 1K through 4K resolution from text prompts, including designs that require multilingual text. Existing images can be edited, restyled, or merged while preserving as many as four characters and ten objects. A separate workflow converts a source video clip, optional references, and a prompt into a still image.

Choose the endpoint matching your text-to-image, editing, or reference-to-image workflow. Send the required prompt and media inputs using the listed model ID through Atlas Cloud's OpenAI-compatible API. Review the endpoint schema before adding optional controls.

Use text-to-image when starting with a written prompt and edit when transforming, restyling, or combining existing images. Select reference-to-image when a video clip should guide the composition of a new still image. Each workflow has both Developer and standard endpoint variants.

For text-to-image requests, the model supports 1K through 4K output, adjustable thinking, multilingual text rendering, and optional Google Search grounding. Editing accepts between 1 and 14 images and supports mask-based regional changes. Reference-to-image begins with one source video clip and may also use reference images.

Atlas Cloud lists a standard base price of $0.05 per call for each of the six available endpoints. This applies to the text-to-image, edit, and reference-to-image workflows in both listed variants.

Compared with Nano Banana 2, Google reports improvements in visual quality, prompt adherence, multilingual text rendering, and consistency across repeated edits. Nano Banana 2.1 is positioned as the efficient counterpart to Nano Banana Pro, combining Pro-level image capabilities with Flash-level speed. Test representative production prompts before replacing an established workflow.

If an instruction is overlooked, place the critical requirement first, quote any exact text, and state which elements must remain unchanged. For editing, isolate one major change at a time and identify the target region clearly. Review text, identities, and untouched areas before publishing the result.

No, the available endpoints return still images rather than videos. The reference-to-image workflow uses one source video clip as context for creating a thumbnail, poster, summary infographic, or another still composition.

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