WaveSpeedAI APIFlux Kontext Dev Multi

Flux Kontext Dev Multi

Flux Kontext Dev Multi

Playground

Try it on WavespeedAI!

Experimental version of FLUX.1 Kontext [dev] with multi image handling capabilities.

Features

FLUX.1 Kontext [dev]

FLUX.1 Kontext [dev] is a 12 billion parameter rectified flow transformer capable of editing images based on text instructions.

Key Features

  1. Change existing images based on an edit instruction.
  2. Have character, style and object reference without any finetuning.
  3. Robust consistency allows users to refine an image through multiple successive edits with minimal visual drift.
  4. Trained using guidance distillation, making FLUX.1 Kontext [dev] more efficient.
  5. Open weights to drive new scientific research, and empower artists to develop innovative workflows.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-kontext-dev/multi" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "prompt": "A man standing by the ocean, wearing a crisp white shirt with sleeves casually rolled up. He’s holding a fresh coconut in one hand and gazing toward the horizon. The beach is sunlit and peaceful, with soft waves, golden sand, and a gentle breeze ruffling his shirt. Relaxed and summery mood.",
    "images": [
        "https://d3gnftk2yhz9lr.wavespeed.ai/media/images/1750946221123208007_M1YURNLH.png",
        "https://d3gnftk2yhz9lr.wavespeed.ai/media/images/1750946250550516343_7mSOLHEA.webp",
        "https://d3gnftk2yhz9lr.wavespeed.ai/media/images/1750946240650738815_zAOLGDzv.jpg"
    ],
    "num_inference_steps": 28,
    "guidance_scale": 2.5,
    "num_images": 1,
    "seed": -1,
    "output_format": "jpeg",
    "enable_base64_output": false,
    "enable_safety_checker": true,
    "enable_sync_mode": false
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The prompt to generate an image from.
imagesarrayNohttps://d3gnftk2yhz9lr.wavespeed.ai/media/images/1750946221123208007_M1YURNLH.pnghttps://d3gnftk2yhz9lr.wavespeed.ai/media/images/1750946250550516343_7mSOLHEA.webphttps://d3gnftk2yhz9lr.wavespeed.ai/media/images/1750946240650738815_zAOLGDzv.jpg-URL of images to use while generating the image.
sizestringNo-256 ~ 1536 per dimensionThe size of the generated media in pixels (width*height).
num_inference_stepsintegerNo281 ~ 50The number of inference steps to perform.
guidance_scalenumberNo2.51.0 ~ 20.0The guidance scale to use for the generation.
num_imagesintegerNo11 ~ 4The number of images to generate.
seedintegerNo-1-1 ~ 2147483647The random seed to use for the generation. -1 means a random seed will be used.
output_formatstringNojpeg-The format of the output image.
enable_base64_outputbooleanNofalse-If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.
enable_safety_checkerbooleanNotrue-If set to true, the safety checker will be enabled.
enable_sync_modebooleanNofalse-If set to true, the function will wait for the image to be generated and uploaded before returning the response. It allows you to get the image directly in the response. This property is only available through the API.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Query Parameters

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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