Nano Banana 2.1 is the newest Flash image model from Google DeepMind, tuned for tidier design, believable photography and faces that stay the same from shot to shot. On BulkGen you can run the Nano Banana 2.1 AI image generator for a single picture or feed it a whole batch of prompts, products or CSV rows at 1K, 2K or 4K.
默认已选择 Nano Banana 2.1。你可以在这里通过提示词和可选参考图生成单张图片；需要 Variations、CSV 或 Products 时，可进入批量工作台。
About Nano Banana 2.1
Nano Banana 2.1 is a point release with real substance: Google's Flash image tier gets better at layout, realism, consistency and editing without moving up to Pro pricing.
Google DeepMind introduced Nano Banana 2.1 in October 2026 as the successor to Nano Banana 2 (Gemini 3.1 Flash Image). The release notes name four headline gains: stronger visual design, mask-based editing, steadier subject consistency and a more natural photographic finish. Developer documentation adds sharper text, more accurate infographic structure and better character continuity over multi-step edits, plus a fix for the tiling seams Nano Banana 2 sometimes left in extreme panoramic ratios.
Through Google's own API the Nano Banana 2.1 model reads up to 14 reference images, can hold up to four people and ten objects steady in one scene, and offers search grounding and adjustable thinking levels. Google also roughly halved the API cost of a 1K image compared with Nano Banana 2, which is good news for anyone producing images at volume.
BulkGen is built for exactly that kind of volume. Here Nano Banana 2.1 works as a text-to-image and reference-guided image generator with up to five uploads, seven aspect ratios and 1K, 2K or 4K output, and the same model powers batch jobs of up to 200 items. Every showcase image on this page was published by Google DeepMind and chosen because it makes one Nano Banana 2.1 improvement easy to judge.
Each block below matches one of Google's stated improvements with an official Nano Banana 2.1 image, so you can check the claim instead of taking it on trust.
Ask for columns, a type scale and generous margins, and Nano Banana 2.1 keeps them. The Swiss-style spreads show flush alignment, heavy headlines next to small captions and white space used on purpose — the kind of structure that earlier Flash models tended to flatten into a stock poster look.
Give Nano Banana 2.1 a set of outfit or character references and it can stage them together while each one stays recognizable. That makes lookbooks, team illustrations and recurring mascots far less of a gamble, and it pairs naturally with batch runs where the same character must appear in dozens of scenes.
Headings, labels and short lists land where they belong with fewer spelling slips. In the kitchen-scrap guide, Nano Banana 2.1 keeps several titled panels, numbered steps and a clear reading path — useful for explainers, recipe cards and social carousels.
Skin, cloth and hard sunlight read as captured rather than rendered. The portrait on industrial stairs holds believable shadow edges, suit texture and eye contact even at full size, which is where Nano Banana 2.1 pulls clearly ahead of its predecessor.
Editing is half of the Nano Banana 2.1 story. In Google's example a flat catalog photo of a shoulder bag becomes a styled set, yet the clasp, strap, stitching and leather tone survive the move. On BulkGen the same idea scales: upload one product, describe the new scene, and repeat it across a whole catalog with the Products batch mode.
Use the uploaded peach shoulder bag as the product. Set it on a cream stepped plinth among soft arches and spheres in matching peach tones. Do not change the bag's silhouette, strap length, gold hardware, stitching or leather color. Soft diffused studio light, vertical hero framing.
Reach for Nano Banana 2.1 when you need design-quality images quickly and in quantity, without stepping up to a premium model for every job.
Generate a family of posters that share one identity, then vary the city, date or headline row by row from a CSV. Put the copy in quotation marks so every version spells it the same way.
Turn notes into labeled visual guides for lessons, blog posts or slide carousels. Nano Banana 2.1 keeps sections in order; keep each label short and fact-check before you post.
Create greeting cards, invitations or packaging with bold lettering and show them as real printed objects for shop listings, previews and client sign-off.
Nano Banana 2.1 rewards briefs that read like a designer's spec. Say what the image is for, then describe structure, copy and finish so that later revisions only touch what you intend.
Use and canvas → grid or composition → main subject → what each reference controls → exact words in quotes → type, palette and light → anything to keep or avoid.
Portrait 2:3 poster for a night jazz series. Two-column grid, flush-left; huge condensed headline "LATE SETS" across the top, the dates "OCT 12 – NOV 30" in a small mono face beneath it. Deep navy and brass palette, single saxophone silhouette lit from the side, subtle paper grain. No extra words beyond those given.
Columns, alignment, margins and type sizes are where Nano Banana 2.1 improved most. "Three-column grid, oversized headline" gets you further than "clean modern design".
Say which upload sets the face, which sets the outfit and which sets the product, and list details that must not change. Drop any reference that isn't doing a job.
Wrap headlines and labels in quotation marks and keep them brief. For long explainers, split the text into a few named sections and correct one at a time.
Explore compositions cheaply at 1K, settle the direction, then re-run the winner at 2K or 4K for print, hero banners or small type.
同一套三步流程既适合单次创作，也适合结构化批量生产。
页面加载时已默认选择 Nano Banana 2.1。输入一个提示词，按需添加支持的参考图；更大的任务可进入批量工作台。
描述主体、场景、构图、风格与限制，然后选择 Nano Banana 2.1 支持的比例和分辨率；只有模型支持时才添加参考图片。
提交任务并比较 Nano Banana 2.1 结果，再通过有针对性的提示词修改重新生成。完成的作品会保存在历史记录中，便于后续查看和下载。
Nano Banana 2.1 has no separate quality switch here, so resolution is your main lever for detail and credit use.
| Setting | What you can choose |
|---|---|
| Resolution | 1K, 2K or 4K — 1K for exploring, 2K/4K for print, banners and fine type |
| Aspect ratio | 1:1, 2:3, 3:2, 3:4, 4:3, 9:16 and 16:9 — pick the final canvas before writing the layout |
| Reference images | Optional, up to 5 per image — for faces, products, places or style |
| Credits | 5 at 1K, 7 at 2K, 8 at 4K per image; the total appears before you generate |
| Batch generation | Variations, CSV rows or Products — up to 200 items per batch with Nano Banana 2.1 |
Same Flash tier and same credit price on BulkGen, but Nano Banana 2.1 changes the result in the areas below, according to Google's model page and API docs.
| Area | Nano Banana 2.1 | Nano Banana 2 |
|---|---|---|
| Design and layout | Holds grids, type hierarchy and editorial spacing; the release's headline gain. | Capable, but design-heavy posters often took several attempts. |
| Photo realism | More natural skin, fabric and light at 1K, 2K and 4K. | Strong for its speed, with a more synthetic look on some portraits. |
| Consistency and editing | Steadier characters over multi-turn edits; mask-based editing and up to 14 references in Google's API. | Reference-guided consistency, no mask editing. |
| Text and infographics | Cleaner lettering and more accurate infographic structure. | Fine for short text; dense layouts needed careful proofreading. |
| Extreme panoramas | Tiling seams at 1:4, 4:1, 1:8 and 8:1 fixed for 2K/4K in the API. | Could repeat tiles in very wide or tall high-resolution formats. |
| Price | Google API: about half the per-1K price. BulkGen: 5/7/8 credits. | Google API: roughly double the 2.1 price at 1K. BulkGen: 5/7/8 credits. |
Nano Banana 2.1 raises the floor, but every image is still a draft until a person has looked at it closely.
The BulkGen generator supports prompts and reference images. Google's search grounding, thinking levels and mask brush are not exposed as controls yet.
BulkGen offers seven aspect ratios and five references per image, fewer than the full Gemini API limits for Nano Banana 2.1.
Proofread every headline, label, date, translation and number before an image goes public.
Zoom in on faces, hands, logos, reflections and small text, especially in 4K output and large batches.
Results are flat raster images. Rebuild final type and brand assets in a design tool when you need editable layers.
关于访问方式、积分、输入、输出控制、批量工作流与审核的实用回答。
能力说明来自官方供应商资料与 BulkGen 集成所使用的 API 文档。应用界面可能有意只开放其中经过支持验证的子集。
