使用 Gemini 產生圖片

POST

v1beta

models

{model}

:generateContent

import os
from google import genai
from google.genai import types

client = genai.Client(
    http_options={"api_version": "v1beta", "base_url": "https://api.cometapi.com"},
    api_key=os.environ.get("COMETAPI_KEY"),
)

response = client.models.generate_content(
    model="gemini-3.1-flash-lite-image",
    contents="A Monarch butterfly anatomical sketch on textured parchment",
    config=types.GenerateContentConfig(
        response_modalities=["TEXT", "IMAGE"],
        image_config=types.ImageConfig(aspect_ratio="1:1", image_size="1K"),
    ),
)

final_image = None
for part in response.parts:
    if getattr(part, "thought", False):
        continue
    if part.text:
        print(part.text)
    elif image := part.as_image():
        final_image = image

if final_image:
    final_image.save("output.png")

{
  "candidates": [
    {
      "content": {
        "role": "<string>",
        "parts": [
          {
            "text": "<string>",
            "inlineData": {
              "mimeType": "<string>",
              "data": "<string>"
            },
            "thought": true,
            "thoughtSignature": "<string>"
          }
        ]
      },
      "index": 123,
      "safetyRatings": [
        {
          "category": "<string>",
          "probability": "<string>"
        }
      ]
    }
  ],
  "usageMetadata": {
    "promptTokenCount": 123,
    "candidatesTokenCount": 123,
    "totalTokenCount": 123,
    "thoughtsTokenCount": 123
  }
}

如需逐步範例，請參閱使用 Gemini 圖片模型。

隨著 Google 更新圖片模型與 generateContent，Gemini 圖片生成功能選項可能會變動。請查看 Gemini 圖片生成文件，以取得最新且完整的參數清單與供應商特定行為。

gemini-2.5-flash-image 預計將由供應商於 2026-10-02 停用。對於新專案，請使用 gemini-3.1-flash-image-preview 或 gemini-3-pro-image-preview。詳情請參閱 Google 的淘汰時程。

Gemini 圖片回應可能包含 thought 為 true 的中間圖片部分。這些不是最終輸出。儲存生成的圖片時，請略過 thought: true 的部分，並使用最後一個存在 inlineData 且 thought 不為 true 的圖片部分。

授權

Authorization

string

header

必填

Use your CometAPI API key.

路徑參數

model

string

預設值:gemini-3.1-flash-image-preview

必填

The Gemini image model to use. See the Models page for current options.

主體

application/json

contents

object[]

必填

Conversation turns. Each item has a role ("user" or "model") and parts array containing text and/or image data.

Show child attributes

generationConfig

object

Controls generation behavior — output modalities, image resolution, thinking, etc.

Show child attributes

tools

object[]

Optional tools. Pass [{"google_search": {}}] to enable Google Search grounding for real-time information in generated images.

Show child attributes

回應

200 - application/json

Success

candidates

object[]

Show child attributes

usageMetadata

object

Show child attributes

建立圖片編輯

使用 Gemini 圖像模型

import os
from google import genai
from google.genai import types

client = genai.Client(
    http_options={"api_version": "v1beta", "base_url": "https://api.cometapi.com"},
    api_key=os.environ.get("COMETAPI_KEY"),
)

response = client.models.generate_content(
    model="gemini-3.1-flash-lite-image",
    contents="A Monarch butterfly anatomical sketch on textured parchment",
    config=types.GenerateContentConfig(
        response_modalities=["TEXT", "IMAGE"],
        image_config=types.ImageConfig(aspect_ratio="1:1", image_size="1K"),
    ),
)

final_image = None
for part in response.parts:
    if getattr(part, "thought", False):
        continue
    if part.text:
        print(part.text)
    elif image := part.as_image():
        final_image = image

if final_image:
    final_image.save("output.png")

{
  "candidates": [
    {
      "content": {
        "role": "<string>",
        "parts": [
          {
            "text": "<string>",
            "inlineData": {
              "mimeType": "<string>",
              "data": "<string>"
            },
            "thought": true,
            "thoughtSignature": "<string>"
          }
        ]
      },
      "index": 123,
      "safetyRatings": [
        {
          "category": "<string>",
          "probability": "<string>"
        }
      ]
    }
  ],
  "usageMetadata": {
    "promptTokenCount": 123,
    "candidatesTokenCount": 123,
    "totalTokenCount": 123,
    "thoughtsTokenCount": 123
  }
}

內容審核

API 金鑰

授權

路徑參數

主體

回應