black-forest-labs/flux-kontext-max API
This document introduces the input and output parameters for invoking the black-forest-labs/flux-kontext-max model API, providing a reference for understanding the meaning of fields when using the interface.
Request Parameters
Request Body
| Field Name | Type | Required | Default | Description |
|---|---|---|---|---|
| prompt | string | Conditionally Required | - | Prompt |
| model | string | Required | - | The name of the model used for this request, which in this case is black-forest-labs/flux-kontext-max. |
| image | string | Required | - | Base64 data or image link http://xxx |
| n | int | Optional | 1 | Number of images to generate, with a range of 1~4 |
| strength | float | Optional | 0.8 | Degree to which the reference image is transformed, with a range of 0~1 |
| seed | int | Optional | -1 | Random seed for controlling the randomness of model generation. For consistent outputs, use the same seed value. |
| steps | int | Optional | 20 | Number of inferences, with a range of 1~50 |
| guidance_scale | float | Optional | 2.5 | The degree to which the model output conforms to the prompt, i.e., the freedom of image generation; the larger the value, the less freedom the model has, and the more closely it is related to the user’s input prompt. [1, 10]. |
| negative_prompt | string | Optional | - | Negative prompt for specifying content not desired in generated images |
| response_format | string | Optional | ”url” | Specifies the format in which generated images are returned, default is url, can also be b64_json. |
Response Parameters
| Field Name | Type | Description |
|---|---|---|
| created | integer | Unix timestamp (seconds) when the request was created. |
| data | array | Information about output images, including image download URL or Base64. • When the specified format for the generated image is URL, the subfield is URL; • When the format is b64_json, the subfield is b64_json. Note: The link will expire 7 days after generation, please make sure to save the image in a timely manner. |
| error | Object | Error message object |
| error.code | string | Error code |
| error.message | string | Error message |
| error.param | string | Request id |
Example
OPENAI Compatible Interface
POST https://api.umodelverse.ai/v1/images/generations
Synchronous Request
curl --location 'https://api.umodelverse.ai/v1/images/generations' \
--header "Authorization: Bearer $MODELVERSE_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
"model": "black-forest-labs/flux-kontext-max",
"prompt": "Convert to quick pencil sketch",
"image": "data:image/png;base64,{image_base64_string}"
}'import os
from openai import OpenAI
client = OpenAI(
base_url=os.getenv("BASE_URL", "https://api.umodelverse.ai/v1"),
api_key=os.getenv("API_KEY", "$MODELVERSE_API_KEY")
)
response = client.images.generate(
model="black-forest-labs/flux-kontext-max",
prompt="Convert to quick pencil sketch",
extra_body={
"image": "data:image/png;base64,{image_base64_string}"
}
)
print(response.data[0].url)Response
{
"created": 1750667997,
"data": [
{
"url": "https://xxxxx/xxxx.png",
"b64_json": "data:image/png;base64,{image_base64_string}"
}
],
"usage": {
"input_tokens_details": {}
}
}{
"error": {
"message": "error_message",
"type": "error_type",
"param": "request_id",
"code": "error_code"
}
}