FLUX.1 Kontext [pro] redefines how we create, edit, and imagine—from concept to completion

Model is trained and ready for deployment

FLUX-kontext-pro

Process an OpenAI-compatible request and send it to the appropriate OpenAI endpoint.

Args:
    msg: JSON string containing the request parameters including 'openai_endpoint'

Returns:
    JSON string containing the response or error

openai_transport

return

Process an OpenAI-compatible request and return a streaming response iterator.
This method is used when stream=True and returns an iterator of strings directly,
without converting to a list or JSON serializing. Supports chat completions and responses endpoints.

Args:
    msg: The request as a JSON string.

Returns:
    Iterator[str]: An iterator yielding text chunks from the streaming response.

openai_stream_transport

This method is used to generate an image based on the provided text prompt using the FLUX model.
Returns:
    Image: An Image object

prompt

The number of steps to use for image generation.

steps

An optional image URL to use as a reference for the image generation.

image_url

width

height

A negative prompt to guide the image generation.

negative_prompt

A float value that controls the strength of the guidance for the image generation. Higher values (e.g., 8-10) make the output more faithful to the prompt, while lower values (e.g., 1-5) encourage more creative freedom

guidance

A seed for random number generation to ensure reproducibility.

seed

predict

This method is used to generate multiple images based on the provided text prompt using the grok-2-image model.
Args:
    prompt (str): The text prompt to generate the image from.
    n (int): The number of images to generate. Default is 1.
Returns:
    List[Image]: A list of Image objects generated from the prompt.

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