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アーカイブ

POST Image Generation (Nano-banana2-4K)

POST /chat/completions

Gemini also provides image-generation capability as an alternative option. Compared with Imagen 3.0, Gemini image generation is better suited to use cases that need contextual understanding and reasoning rather than maximum artistic polish and visual quality.

Higher visual quality -> compared with the experimental version, images are sharper, richer, and clearer. More accurate text rendering -> generated visuals show text more precisely, cleanly, and legibly. Significantly fewer filter interruptions -> a smarter and more permissive filtering system means creation is rarely interrupted. Description:

Model ID: gemini-2.0-flash-preview-image-generation Pricing (input -> output): 0.1 → 0.1→0.4/M tokens To use the new capability, add the parameter "modalities":["text","image"]. Images are passed in and returned as Base64-encoded payloads. Because this is an experimental model, explicitly request an image in the prompt; otherwise you may receive text only. The default output image height is 1024 px. Python usage requires the latest OpenAI SDK. Run pip install -U openai first. See the Gemini official documentation for more details.

Body Parameters

{
    "model": "gemini-3-pro-image-preview-4k",
    "messages": [
        {
            "role": "user",
            "content": "Generate an infographic of the current weather in Tokyo."
        }
    ]
}

Request Parameters

Name	In	Type	Required	Description
Content-Type	header	string	Yes	none
Accept	header	string	Yes	none
Authorization	header	string	No	none
body	body	object	No	none
» model	body	string	Yes	ID of the model to use. See the model endpoint compatibility table for which models are compatible with the Chat API.
» messages	body	[object]	Yes	Messages used to generate a chat completion in the chat format.
»» role	body	string	No	none
»» content	body	string	No	none
» temperature	body	integer	No	Sampling temperature between `0` and `2`. Higher values such as `0.8` make output more random, while lower values such as `0.2` make it more focused and deterministic. In most cases, adjust this or `top_p`, but not both.
» top_p	body	integer	No	Alternative to temperature sampling, known as nucleus sampling, where the model considers only tokens that together make up the `top_p` probability mass. For example, `0.1` means only the top 10% probability mass is considered. In most cases, adjust this or `temperature`, but not both.
» n	body	integer	No	Number of chat-completion choices to generate for each input message.
» stream	body	boolean	No	If set, partial message deltas are streamed the same way they are in ChatGPT. As tokens become available, they are sent as data-only server-sent events, with the stream terminated by `data: [DONE]`. See the OpenAI Cookbook example code.
» stop	body	string	No	Up to four sequences where the API should stop generating additional tokens.
» max_tokens	body	integer	No	Maximum number of tokens to generate for the chat completion. The combined length of input and generated tokens is still limited by the model context window.
» presence_penalty	body	number	No	A number between `-2.0` and `2.0`. Positive values penalize new tokens based on whether they have already appeared in the text so far, increasing the chance that the model discusses new topics. Read more about frequency and presence penalties.
» frequency_penalty	body	number	No	A number between `-2.0` and `2.0`. Positive values penalize tokens based on how often they already appear in the text, reducing the chance that the model repeats the same line verbatim. Read more about frequency and presence penalties.
» logit_bias	body	null	No	Adjusts the likelihood that specified tokens appear in the completion. Accepts a JSON object that maps token IDs to bias values from `-100` to `100`. Mathematically, the bias is added to the logits produced by the model before sampling. The exact effect varies by model, but values between `-1` and `1` should slightly decrease or increase selection likelihood, while values like `-100` or `100` should effectively ban or force the relevant token.
» user	body	string	No	Unique identifier representing your end user. Helps OpenAI monitor and detect abuse. Learn more.

Response Example

200 Response

{
  "id": "string",
  "object": "string",
  "created": 0,
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "string",
        "content": "string"
      },
      "finish_reason": "string"
    }
  ],
  "usage": {
    "prompt_tokens": 0,
    "completion_tokens": 0,
    "total_tokens": 0
  }
}

Responses

Status	Meaning	Description	Model
200	OK	none	Inline

Response Schema

Status 200

Name	Type	Required	Constraints	Description
» id	string	true	none	none
» object	string	true	none	none
» created	integer	true	none	none
» choices	[object]	true	none	none
»» index	integer	false	none	none
»» message	object	false	none	none
»»» role	string	true	none	none
»»» content	string	true	none	none
»» finish_reason	string	false	none	none
» usage	object	true	none	none
»» prompt_tokens	integer	true	none	none
»» completion_tokens	integer	true	none	none
»» total_tokens	integer	true	none	none