Gemini
Gemini 이미지 생성
CometAPI를 통해 Gemini 모델로 이미지를 생성합니다 — 4K, 멀티턴 편집, 최대 14개의 참조 이미지, Thinking을 지원합니다.
POST
/
v1beta
/
models
/
{model}
:generateContent
from google import genai
from google.genai import types
import os
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-image-preview",
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="4K"),
),
)
for part in response.parts:
if part.text:
print(part.text)
elif image := part.as_image():
image.save("output.png"){
"candidates": [
{
"content": {
"role": "<string>",
"parts": [
{
"text": "<string>",
"inlineData": {
"mimeType": "<string>",
"data": "<string>"
}
}
]
},
"finishReason": "STOP",
"index": 123,
"safetyRatings": [
{
"category": "<string>",
"probability": "<string>"
}
]
}
],
"usageMetadata": {
"promptTokenCount": 123,
"candidatesTokenCount": 123,
"totalTokenCount": 123,
"thoughtsTokenCount": 123
}
}단계별 코드 예제(텍스트-이미지, 이미지-이미지, 다중 이미지 합성, 채팅 편집)는 Gemini 이미지 모델 호출 가이드를 참고하세요.
인증
Use your CometAPI API key.
경로 매개변수
The Gemini image model to use. See the Models page for current options.
본문
application/json
Conversation turns. Each item has a role ("user" or "model") and parts array containing text and/or image data.
Show child attributes
Show child attributes
Controls generation behavior — output modalities, image resolution, thinking, etc.
Show child attributes
Show child attributes
Optional tools. Pass [{"google_search": {}}] to enable Google Search grounding for real-time information in generated images.
Show child attributes
Show child attributes
⌘I
from google import genai
from google.genai import types
import os
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-image-preview",
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="4K"),
),
)
for part in response.parts:
if part.text:
print(part.text)
elif image := part.as_image():
image.save("output.png"){
"candidates": [
{
"content": {
"role": "<string>",
"parts": [
{
"text": "<string>",
"inlineData": {
"mimeType": "<string>",
"data": "<string>"
}
}
]
},
"finishReason": "STOP",
"index": 123,
"safetyRatings": [
{
"category": "<string>",
"probability": "<string>"
}
]
}
],
"usageMetadata": {
"promptTokenCount": 123,
"candidatesTokenCount": 123,
"totalTokenCount": 123,
"thoughtsTokenCount": 123
}
}