Flux Kontext Dev Ultra Fast
FLUX.1 Kontext Ultra Fast [dev] is a development version of the state-of-the-art image editing model that lets you edit images using text prompts. It makes editing intuitive by understanding the relationship between visuals and language, with ultra-fast processing speed.
Features
FLUX.1 Kontext Ultra Fast [dev] is a development version of the state-of-the-art image editing model by Black Forest Labs that lets you edit images using text prompts with ultra-fast processing speed. It makes editing intuitive by understanding the relationship between visuals and language. You can make precise changes to objects, scenes, and layout — all without disrupting the composition.
Key Features
- Ultra-Fast Processing: Optimized neural architecture delivers professional results in a fraction of the time.
- Context-Aware Editing: Intelligent understanding of image semantics for precise modifications that preserve natural aesthetics.
- Precision Control: Granular control over transformations with intuitive parameters and fine-tuning capabilities.
- SOTA Quality: State-of-the-art results surpassing existing models across all quality benchmarks.
Use Cases
- Style Transfer: Convert photos to different art styles, like watercolor, oil painting and sketches.
- Object/Clothing Changes: Modify hairstyles, add accessories, change colors.
- Text Editing: Replace text in signs, posters, and labels.
- Background Swapping: Change environments while preserving subjects.
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-ultra-fast" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"prompt": "Replace 'KONTEXT' with 'WaveSpeedAI' on the juice pouch, keeping the same bubbly font style,gradient colors, soft shadow, and exact position.",
"image": "https://d2g64w682n9w0w.cloudfront.net/media/images/1750941148466319080_zQWSOLIE.jpg",
"size": "1024*1024",
"num_inference_steps": 28,
"guidance_scale": 2.5,
"num_images": 1,
"seed": -1,
"enable_base64_output": false,
"enable_safety_checker": true
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
Parameter | Type | Required | Default | Range | Description |
---|---|---|---|---|---|
prompt | string | Yes | Replace 'KONTEXT' with 'WaveSpeedAI' on the juice pouch, keeping the same bubbly font style,gradient colors, soft shadow, and exact position. | - | The prompt to generate an image from. |
image | string | No | https://d2g64w682n9w0w.cloudfront.net/media/images/1750941148466319080_zQWSOLIE.jpg | - | The image to generate an image from. |
size | string | No | 1024*1024 | 512 ~ 1536 per dimension | The size of the generated image. |
num_inference_steps | integer | No | 28 | 1 ~ 50 | The number of inference steps to perform. |
guidance_scale | number | No | 2.5 | 0.0 ~ 20.0 | The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you. |
num_images | integer | No | 1 | 1 ~ 4 | The number of images to generate. |
seed | integer | No | -1 | -1 ~ 9999999999 | The same seed and the same prompt given to the same version of the model will output the same image every time. |
enable_base64_output | boolean | No | false | - | If enabled, the output will be encoded into a BASE64 string instead of a URL. |
enable_safety_checker | boolean | No | true | - | If set to true, the safety checker will be enabled. |
Response Parameters
Parameter | Type | Description |
---|---|---|
code | integer | HTTP status code (e.g., 200 for success) |
message | string | Status message (e.g., “success”) |
data.id | string | Unique identifier for the prediction, Task Id |
data.model | string | Model ID used for the prediction |
data.outputs | array | Array of URLs to the generated content (empty when status is not completed ) |
data.urls | object | Object containing related API endpoints |
data.urls.get | string | URL to retrieve the prediction result |
data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
data.status | string | Status of the task: created , processing , completed , or failed |
data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
data.error | string | Error message (empty if no error occurred) |
data.timings | object | Object containing timing details |
data.timings.inference | integer | Inference time in milliseconds |
Result Query Parameters
Result Request Parameters
Parameter | Type | Required | Default | Description |
---|---|---|---|---|
id | string | Yes | - | Task ID |
Result Response Parameters
Parameter | Type | Description |
---|---|---|
code | integer | HTTP status code (e.g., 200 for success) |
message | string | Status message (e.g., “success”) |
data | object | The prediction data object containing all details |
data.id | string | Unique identifier for the prediction |
data.model | string | Model ID used for the prediction |
data.outputs | array | Array of URLs to the generated content (empty when status is not completed ) |
data.urls | object | Object containing related API endpoints |
data.urls.get | string | URL to retrieve the prediction result |
data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
data.status | string | Status of the task: created , processing , completed , or failed |
data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
data.error | string | Error message (empty if no error occurred) |
data.timings | object | Object containing timing details |
data.timings.inference | integer | Inference time in milliseconds |