Flux Dev LoRA Ultra Fast
Playground
Try it on WavespeedAI!Ultra-fast FLUX.1 [dev] endpoint with LoRA support for high-quality image generation, personalization, and brand/style adaptation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
FLUX.1 [dev]
FLUX.1 [dev] is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions.
Key Features
- Cutting-edge output quality, second only to our state-of-the-art model
FLUX.1 [pro]. - Competitive prompt following, matching the performance of closed source alternatives .
- Trained using guidance distillation, making
FLUX.1 [dev]more efficient. - 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-dev-lora-ultra-fast" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"strength": 0.8,
"loras": [
{
"path": "strangerzonehf/Flux-Super-Realism-LoRA",
"scale": 1
}
],
"size": "1024*1024",
"num_inference_steps": 28,
"guidance_scale": 3.5,
"num_images": 1,
"seed": -1,
"output_format": "jpeg",
"enable_base64_output": false
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| image | string | No | - | ||
| mask_image | string | No | - | The mask image tells the model where to generate new pixels (white) and where to preserve the original image (black). It acts as a stencil or guide for targeted image editing. | |
| strength | number | No | 0.8 | 0.01 ~ 1.00 | Strength indicates extent to transform the reference image. |
| loras | array | No | max 3 items | List of LoRAs to apply (max 3). | |
| loras[].path | string | Yes | - | Path to the LoRA model | |
| loras[].scale | float | Yes | - | 0.0 ~ 4.0 | Scale of the LoRA model |
| size | string | No | 1024*1024 | 256 ~ 1536 per dimension | The size of the generated media in pixels (width*height). |
| num_inference_steps | integer | No | 28 | 1 ~ 50 | The number of inference steps to perform. |
| guidance_scale | number | No | 3.5 | 0.0 ~ 20.0 | The guidance scale to use for the generation. |
| num_images | integer | No | 1 | 1 ~ 4 | The number of images to generate. |
| seed | integer | No | -1 | -1 ~ 2147483647 | The random seed to use for the generation. -1 means a random seed will be used. |
| output_format | string | No | jpeg | jpeg, png, webp | The format of the output image. |
| enable_base64_output | boolean | No | false | - | If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API. |
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 |