gemini-nano-banana-2.1Compare gemini-nano-banana-2.1 API pricing, supported endpoints, capabilities and access options on Modelsell.
SentencePiece (Gemini)Scores on standardized evaluations. Higher percentages are better — and rank percentile shows
Metrics sourced fromArtificial Analysis 2026-09-30·Gemini Nano Banana 2.1
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一张图生成出来以后,真正费心的往往是修改:换个背景,保留人物;改一句标题,别把构图一起推翻。Nano Banana 2.1 把这类反复沟通的设计过程放进对话里,既能从文字生成画面,也能理解参考图并继续调整细节。它在 Nano Banana 2 的基础上改进了视觉质量、指令遵循、文字呈现和多轮角色一致性,适合需要持续打磨的日常设计。
可以把商品外观、角色形象和场景风格分别交代清楚,再让模型组合成新画面。最多支持 14 张参考图,适合围绕同一品牌做系列视觉,或把多件商品放进统一场景。相比只写“参考这些图片”,说明每张图负责什么,更容易保住重要的颜色、材质和身份特征。
海报标题、信息图和活动卡片,需要文字内容与版式一起考虑。Nano Banana 2.1 能按提示安排文字层级、图文位置与留白,也适合在后续对话中更换文案、调整配色。中文标题、长段文字和品牌标识仍值得逐字检查;先确定布局,再精修文字,通常比一次加入所有信息更容易控制。
提供 1K、2K、4K 输出,适合从概念草图逐步推进到较清晰的展示素材。宽幅与全景构图也可以用于横幅、长条封面或空间氛围图。需要真实背景知识的主题创作时,模型还支持搜索辅助理解。生成结果依然需要检查人物、商品细节和事实表达,尤其不要把漂亮的信息图直接当成已经验证的数据结论。
图一是我们的咖啡杯,请保留杯型、米白色杯身和绿色标识。图二只参考窗边的光线。制作竖版海报:杯子放在画面下半部,背景为浅绿色,上方清晰写“周末来一杯”,下方留出添加日期的位置。画面温暖、干净,不增加其他品牌文字。
下一轮可以只要求“标题保持不变,把桌面换成浅木色,杯子位置与大小不变”,观察局部修改是否符合预期。
多张图怎样用才有效? 标明商品图、人物图、构图图或风格图各自的用途,避免相互冲突。
适合直接做带文字的海报吗? 适合先完成图文设计,再检查文字准确性和发布尺寸;长说明文字可留给排版工具补充。
/v1beta/models/gemini-nano-banana-2.1:generateContent| Parameter | Type | Default / range | Description |
|---|---|---|---|
temperature | number | = 10 ~ 2 | Sampling temperature; lower is more deterministic |
top_p | number | = 10 ~ 1 | Nucleus sampling probability mass |
max_tokens | integer | >= 1 | Maximum number of tokens in the response |
frequency_penalty | number | = 0-2 ~ 2 | Penalises repetition of frequent tokens |
presence_penalty | number | = 0-2 ~ 2 | Encourages introducing new topics |
stop | array | — | Up to 4 strings that stop generation |
seed | integer | — | Deterministic sampling seed (best-effort) |
n | integer | = 1>= 1 | Number of completions to generate |
stream | boolean | = false | Stream tokens via Server-Sent Events |
response_format | object | — | Force JSON object or schema-conforming output |
tools | array | — | Tool / function declarations the model may call |
tool_choice | string | autononerequired | Tool-choice policy or specific tool name |
logprobs | boolean | = false | Return per-token log probabilities |
top_logprobs | integer | 0 ~ 20 | Number of top log probabilities returned per token |
logit_bias | object | — | Per-token logit bias map |
user | string | — | End-user identifier for abuse monitoring |
Replace <YOUR_API_KEY> with the API key from your token settings.
All requests must include Authorization: Bearer <TOKEN> header. Anthropic-formatted endpoints accept the x-api-key header instead.
Generate tokens from the Tokens page; you can scope them to specific models, groups, IPs, and rate-limits.
| Parameter | Type | Default / range | Description |
|---|---|---|---|
temperature | number | = 10 ~ 2 | Sampling temperature; lower is more deterministic |
top_p | number | = 10 ~ 1 | Nucleus sampling probability mass |
max_tokens | integer | >= 1 | Maximum number of tokens in the response |
frequency_penalty | number | = 0-2 ~ 2 | Penalises repetition of frequent tokens |
presence_penalty | number | = 0-2 ~ 2 | Encourages introducing new topics |
stop | array | — | Up to 4 strings that stop generation |
seed | integer | — | Deterministic sampling seed (best-effort) |
n | integer | = 1>= 1 | Number of completions to generate |
stream | boolean | = false | Stream tokens via Server-Sent Events |
response_format | object | — | Force JSON object or schema-conforming output |
tools | array | — | Tool / function declarations the model may call |
tool_choice | string | autononerequired | Tool-choice policy or specific tool name |
logprobs | boolean | = false | Return per-token log probabilities |
top_logprobs | integer | 0 ~ 20 | Number of top log probabilities returned per token |
logit_bias | object | — | Per-token logit bias map |
user | string | — | End-user identifier for abuse monitoring |
| Supplier | RPM | TPM | RPD |
|---|---|---|---|
| Google AI Studio | Unlimited | Unlimited | Unlimited |
No restriction
Compare gemini-nano-banana-2.1 API pricing, supported endpoints, capabilities and access options on Modelsell.
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