支持的模型
目前仅以下模型支持在对话中进行图片生成与编辑：gemini-2.5-flash-imagegemini-2.5-flash-image-previewgemini-2.0-flash-preview-image-generationgpt-4o-imagegpt-5-allmidjourney-chat
本教程只是基本示例，关于 Gemini 画图模型更详细的教程请参考 Gemini 2.5 Flash 画图模型教程。
生成图片
以下是通过对话画图的请求示例，和普通文本对话并无不同：curl --location --request POST 'https://geekai.co/api/v1/chat/completions' \
--header 'Authorization: Bearer $GEEKAI_API_KEY' \
--header 'Content-Type: application/json' \
--data-raw '{
"model": "gemini-2.5-flash-image",
"messages": [
{
"role": "user",
"content": "画一只可爱的小猫在草丛中玩耍"
}
]
}'
# 先安装 OpenAI SDK: `pip3 install openai`
from openai import OpenAI
client = OpenAI(api_key="$GEEKAI_API_KEY", base_url="https://geekai.co/api/v1")
response = client.chat.completions.create(
model="gemini-2.5-flash-image",
messages=[
{"role": "user", "content": "画一只可爱的小猫在草丛中玩耍"},
]
)
print(response.choices[0].message.content)
// 先安装 OpenAI SDK: `npm install openai`
import OpenAI from "openai";
const openai = new OpenAI({
baseURL: 'https://geekai.co/api/v1',
apiKey: '$GEEKAI_API_KEY'
});
async function main() {
const completion = await openai.chat.completions.create({
messages: [{ role: "user", content: "画一只可爱的小猫在草丛中玩耍" }],
model: "gemini-2.5-flash-image",
});
console.log(completion.choices[0].message.content);
}
main();
package main
import (
"bytes"
"encoding/json"
"fmt"
"io"
"net/http"
)
func main() {
requestBody := map[string]interface{}{
"model": "gemini-2.5-flash-image",
"messages": []interface{}{
map[string]interface{}{
"role": "user",
"content": "画一只可爱的小猫在草丛中玩耍",
},
}
}
jsonData, err := json.Marshal(requestBody)
if err != nil {
panic(err)
}
client := &http.Client{}
req, err := http.NewRequest("POST", "https://geekai.co/api/v1/chat/completions", bytes.NewBuffer(jsonData))
if err != nil {
panic(err)
}
req.Header.Set("Authorization", "Bearer $GEEKAI_API_KEY")
req.Header.Set("Content-Type", "application/json")
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, err := io.ReadAll(resp.Body)
if err != nil {
panic(err)
}
fmt.Println(string(body))
}
gpt-4o-image、gpt-5-all、midjourney-chat 支持流式输出，gemini-2.5-flash-image-preview、gemini-2.5-flash-image 不支持流式输出。
在响应对象中，image.url 字段中会包含生成的图片 URL 地址，你可以获取进行显示，也可以获取 content 字段值直接在支持 Markdown 渲染的组件中显示：
{
"id": "1061a101-5fe0-44bd-9281-6fb6565dbd0a",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "好的，这是一只在草丛中玩耍的可爱小猫： \n\n",
"image": {
"url": "https://static.geekai.co/image/2025/09/22/81e1cc5fc52a70c738f99b9037957bb4.png"
}
},
"finish_reason": "stop"
}
],
"model": "gemini-2.5-flash-image",
"object": "chat.completion",
"usage": {
...
}
}
图片编辑
如果你想要以图生图，或者在已有的图片上进行修改，可以结合图片对话请求实现：curl --location --request POST 'https://geekai.co/api/v1/chat/completions' \
--header 'Authorization: Bearer {YOUR_GEEKAI_API_KEY}' \
--header 'Content-Type: application/json' \
--data-raw '{
"model": "gemini-2.5-flash-image",
"messages": [
{
"role": "user",
"content": [
{
"type": "text",
"text": "将图片中的中文替换成英文GeekAI，字体风格大小保持不变"
},
{
"type": "image_url",
"image_url": {
"url": "https://static.geekai.co/icon/geekai-logo-main-tr.png"
}
}
]
}
]
}'
# 先安装 OpenAI SDK: `pip3 install openai`
from openai import OpenAI
client = OpenAI(api_key="$GEEKAI_API_KEY", base_url="https://geekai.co/api/v1")
response = client.chat.completions.create(
model="gemini-2.5-flash-image",
messages=[
{"role": "user", "content": [
{"type": "text", "text": "将图片中的中文替换成英文GeekAI，字体风格大小保持不变"},
{"type": "image_url", "image_url": {"url": "https://static.geekai.co/icon/geekai-logo-main-tr.png"}}
]}
]
)
print(response.choices[0].message.content)
// 先安装 OpenAI SDK: `npm install openai`
import OpenAI from "openai";
const openai = new OpenAI({
baseURL: 'https://geekai.co/api/v1',
apiKey: '$GEEKAI_API_KEY'
});
async function main() {
const completion = await openai.chat.completions.create({
messages: [{ role: "user", content: [
{ "type": "text", "text": "将图片中的中文替换成英文GeekAI，字体风格大小保持不变" },
{ "type": "image_url", "image_url": { "url": "https://static.geekai.co/icon/geekai-logo-main-tr.png" } }
]}],
model: "gemini-2.5-flash-image",
});
console.log(completion.choices[0].message.content);
}
main();
package main
import (
"bytes"
"encoding/json"
"fmt"
"io"
"net/http"
)
func main() {
requestBody := map[string]interface{}{
"model": "gemini-2.5-flash-image",
"messages": []interface{}{
map[string]interface{}{
"role": "user",
"content": []interface{}{
map[string]interface{}{
"type": "text",
"text": "将图片中的中文替换成英文GeekAI，字体风格大小保持不变",
},
map[string]interface{}{
"type": "image_url",
"image_url": map[string]string{
"url": "https://static.geekai.co/icon/geekai-logo-main-tr.png",
},
},
},
},
}
}
jsonData, err := json.Marshal(requestBody)
if err != nil {
panic(err)
}
client := &http.Client{}
req, err := http.NewRequest("POST", "https://geekai.co/api/v1/chat/completions", bytes.NewBuffer(jsonData))
if err != nil {
panic(err)
}
req.Header.Set("Authorization", "Bearer $GEEKAI_API_KEY")
req.Header.Set("Content-Type", "application/json")
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, err := io.ReadAll(resp.Body)
if err != nil {
panic(err)
}
fmt.Println(string(body))
}
image_url 字段的 url 属性可以是任何有效的图片 URL 地址或者 Base64 编码的图片数据。
解决 Gemini 不出图问题
如果在使用 Gemini 画图模型进行图像生成时遇到不出图的问题，可以尝试以下解决方案：- 设置系统提示：在请求中通过系统提示强化画图诉求，如
你是一个AI画图机器人，请根据用户需求进行画图； - 调整参数设置：在请求参数中将
image_generation设置为true，表示这条请求强制进行画图。
curl --location --request POST 'https://geekai.co/api/v1/chat/completions' \
--header 'Authorization: Bearer {YOUR_GEEKAI_API_KEY}' \
--header 'Content-Type: application/json' \
--data-raw '{
"model": "gemini-2.5-flash-image-preview",
"messages": [
{
"role": "system",
"content": "你是一个AI画图机器人，请根据用户需求进行画图"
},
{
"role": "user",
"content": "一只可爱的小猫在草丛中玩耍"
}
],
"image_generation": true
}'
转到 Response API
OpenAI 全新的 Response API 支持在对话中引入画图工具进行图像生成和编辑，并支持除gpt-4o 以外的更多模型以及更丰富的参数设置，关于如何在 Response API 中进行图像生成和编辑，请参考Response API 画图文档。