Flux Kontext Dev Lora Ultra Fast
FLUX.1 Kontext LoRA Ultra Fast [dev] is an optimized, high-performance version of the state-of-the-art image editing model that lets you edit images using text prompts and LoRA models. It maintains the same high quality while delivering significantly faster processing times.
Features
FLUX.1 Kontext LoRA Ultra Fast [dev] is an optimized, high-performance version of the state-of-the-art image editing model by Black Forest Labs. It maintains all the powerful features of the original model while delivering significantly faster processing times. You can edit images using text prompts and LoRA models with exceptional speed without compromising on quality.
Key Features
- High Performance: Optimized processing pipeline for significantly faster image generation and editing.
- LoRA Support: Apply custom styles and transformations using LoRA models for personalized results.
- 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 using LoRA models.
- Object/Clothing Changes: Modify hairstyles, add accessories, change colors with style-specific LoRAs.
- 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-lora-ultra-fast" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"prompt": "A restored and colorized vintage black-and-white photograph, removing scratches, dust, and tears. The image features enhanced clarity, natural skin tones, and realistic colors while preserving the original nostalgic atmosphere. The photo looks vivid and fresh, with balanced lighting and rich detail, as if carefully brought back to life from the past.",
"image": "https://d2g64w682n9w0w.cloudfront.net/media/images/1750946150521827253_czYURNKG.jpg",
"size": "1024*1024",
"num_inference_steps": 28,
"guidance_scale": 2.5,
"num_images": 1,
"seed": -1,
"loras": [],
"enable_base64_output": false,
"enable_safety_checker": true
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
Parameter | Type | Required | Default | Range | Description |
---|---|---|---|---|---|
prompt | string | Yes | A restored and colorized vintage black-and-white photograph, removing scratches, dust, and tears. The image features enhanced clarity, natural skin tones, and realistic colors while preserving the original nostalgic atmosphere. The photo looks vivid and fresh, with balanced lighting and rich detail, as if carefully brought back to life from the past. | - | The prompt to generate an image from. |
image | string | No | https://d2g64w682n9w0w.cloudfront.net/media/images/1750946150521827253_czYURNKG.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. |
loras | array | No | [] | max 5 items | List of LoRAs to apply (max 5) |
loras[].path | string | Yes | - | Path to the LoRA model | |
loras[].scale | float | Yes | - | 0.0 ~ 4.0 | Scale of the LoRA model |
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 |