GPT图像模型使用

5 分钟完成注册、充值与首次调用

本篇内容为如何通过curl命令测试三种gpt图像接口是否连通。

1. Linux/Mac终端测试

测试之前,请先在51token API秘钥页面创建API key,选择分组为gpt-image。复制API KEY在终端配置临时环境变量:

bash
export OPENAI_API_KEY=<你的51token生成的API KEY>

本次测试提示词相同,我们也顺便看看每个模型的结果如何。

1.1 gpt-image-2 模型

bash
curl --request POST \
	--url https://51token.one/v1/images/generations \
	--header "Authorization: Bearer $OPENAI_API_KEY" \
	--header "Content-Type: application/json" \
	--data '{
	"model": "gpt-image-2",
	"prompt": "A cute fluffy kitten sitting on a windowsill, soft natural light, detailed fur, high quality",
	"size": "1024x1024",
	"quality": "medium",
	"n": 1,
	"response_format": "url"
	}'
  • 返回结果:
json
{
    "created": 1787583511,
    "data": [
        {
            "url": "https://image-junliai-org.b-cdn.net/bunny-api-media/2026/08/24/14/1787669911-x0dTpzr-fYhWjBSgVJNmoqIRRuDBDB1j.png"
        }
    ]
}
  • 效果图:

1.2 gpt-image-2-c 模型

  • 发情请求:
bash
curl --request POST \
	--url https://51token.one/v1/images/generations \
	--header "Authorization: Bearer $OPENAI_API_KEY" \
	--header "Content-Type: application/json" \
	--data '{
	"model": "gpt-image-2-c",
	"prompt": "A cute fluffy kitten sitting on a windowsill, soft natural light, detailed fur, high quality",
	"size": "1024x1024",
	"quality": "medium",
	"n": 1,
	"response_format": "url"
	}'
  • 返回结果:
json
{
    "created": 1787583554,
    "data": [
        {
            "url": "https://imgcdn.aicodeme.cn/images/2026/08/24/0be7a09372de4a79bbe7912691f5eb4b.png",
            "revised_prompt": "A cute fluffy kitten sitting on a windowsill, soft natural light, detailed fur, high quality",
            "size": "1254x1254",
            "quality": "medium"
        }
    ],
    "usage": {
        "total_cost": "0.04",
        "total_points": "0.04",
        "total_cost_decimal": "0.04",
        "total_points_decimal": "0.04"
    }
}
  • 效果图:

1.3 gpt-image-2-all 模型

  • 发情请求:
bash
curl --request POST \
	--url https://51token.one/v1/images/generations \
	--header "Authorization: Bearer $OPENAI_API_KEY" \
	--header "Content-Type: application/json" \
	--data '{
	"model": "gpt-image-2-all",
	"prompt": "A cute fluffy kitten sitting on a windowsill, soft natural light, detailed fur, high quality",
	"size": "1024x1024",
	"quality": "medium",
	"n": 1,
	"response_format": "url"
	}'
  • 返回结果:
json
{
    "created": 1787583855,
    "data": [
        {
            "height": 1254,
            "key": "generated-images/org-org-maxapi/2026/08/24/2b976322-b442-47e1-9026-c7795ce277f1/0bc7e7f3-8e0e-40d6-8c5a-cbbd81d96c4a.png",
            "prompt": "A cute fluffy kitten sitting on a windowsill, soft natural light, detailed fur, high quality",
            "revised_prompt": "A cute fluffy kitten sitting on a windowsill, soft natural light, detailed fur, high quality",
            "size": "1K",
            "url": "https://apac.ossforai.com/2026/08/24/16a84be8-8cb3-4d75-9b1e-1f8e4ab6a000.png",
            "width": 1254
        }
    ],
    "model": "gpt-image-2",
    "quality": "medium",
    "size": "1024x1024",
    "usage": {
        "generated_images": 1,
        "input_tokens": 53,
        "input_tokens_details": {
            "text_tokens": 53
        },
        "output_tokens": 229,
        "output_tokens_details": {
            "image_tokens": 229
        },
        "total_tokens": 282
    }
}

  • 效果图:

2. Codex 中如何使用图像模型

2.1 直接在模型中选择图像模型,生成图片。

2.2 使用skills调用图像模型

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