参数名 | 类型 | 默认值 | 取值范围 | 描述 |
---|---|---|---|---|
model | string | "flux-11-pro-ultra" | 固定为"flux-1.1-pro-ultra" | 使用的模型名称,此接口仅支持"flux-11-pro-ultra" |
prompt | string | - | - | 用于生成图像的文本提示,是必填项。提示内容会直接影响生成图像的内容和风格,需要尽可能详细和具体地描述您想要生成的图像 |
image_prompt | string | - | 合法的URL | 图像提示,用于与文本提示一起引导生成。必须是jpeg、png或webp格式的图片URL |
image_prompt_strength | number | 0.1 | 0~1 | 控制提示词与图像提示之间的混合程度 |
aspect_ratio | string | "1:1" | "21:9", "16:9", "3:2", "4:3", "5:4", "1:1", "4:5", "3:4", "2:3", "9:16", "9:21" | 生成图像的宽高比 |
safety_tolerance | integer | 5 | 1~6 | 内容安全容差,1表示最严格,6表示最宽松 |
seed | integer | - | - | 随机种子。设置后可以获得可复现的生成结果 |
output_format | string | "jpg" | "jpg", "png" | 输出图像的格式 |
raw | boolean | false | true/false | 是否生成更少处理、更自然的图像 |
response_format | string | "url" | "url", "b64_json" | 返回的图像数据格式。默认返回图像URL。设置为"b64_json"时直接返回base64编码的图像数据 |
Authorization: Bearer ********************
curl --location --request POST 'https://cn2us02.opapi.win/api/v1/ai/draw/flux/pro-ultra-11' \
--data-urlencode 'model=flux-1.1-pro-ultra' \
--data-urlencode 'prompt=black forest gateau cake spelling out the words \"OhMyGPT\", tasty, food photography, dynamic shot' \
--data-urlencode 'response_format=b64_json'
{ "statusCode": 200, "message": "Success", "data": { "outputs": [ { "url": "https://replicate.delivery/czjl/xv8ul4bMGRrDAZA0hhQaG5ui0nbtJEGBousLR61ES2sEg28E/tmpjkaihj82.jpg", "b64_json": "data:image/jpg;base64,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