Parameter name | Type | Default value | Value range | Description |
---|---|---|---|---|
model | string | "flux-11-pro-ultra" | Fixed to "flux-1.1-pro-ultra" | The model name used, this interface only supports "flux-11-pro-ultra" |
prompt | string | - | - | Text prompt used to generate images, required. The content of the prompt will directly affect the content and style of the generated image. You need to describe the image you want to generate as detailed and specific as possible |
image_prompt | string | - | Valid URL | Image prompt, used to guide generation along with text prompt. It must be an image URL in jpeg, png or webp format |
image_prompt_strength | number | 0.1 | 0~1 | Control the degree of mixing between prompt words and image prompts |
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" | The aspect ratio of the generated image |
safety_tolerance | integer | 5 | 1~6 | Content safety tolerance, 1 represents the strictest, 6 represents the loosest |
seed | integer | - | - | Random seed. After setting up, you can get reproducible generation results |
output_format | string | "jpg" | "jpg", "png" | Output image format |
raw | boolean | false | true/false | Whether to generate less processed, more natural images |
response_format | string | "url" | "url", "b64_json" | Returned image data format. The image URL is returned by default. When set to "b64_json", base64-encoded image data is directly returned |
curl --location --request POST 'https://cn2us02.opapi.win/api/v1/ai/draw/flux/pro-ultra-11' \
--header 'Authorization: Bearer <token>' \
--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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