Flux Krea Dev LoRA API Documentation
Playground
Try it on WaveSpeedAI!FLUX.1 Krea [dev] is the open-weights Krea 1 model with LoRA support, delivering distinctive, realistic outputs for creative projects. Ready-to-use REST API, best performance, no coldstarts, affordable pricing.
Features
FLUX Krea Dev LoRA is a versatile text-to-image and image-to-image generation model with full LoRA support. Generate stunning images with custom styles, apply artistic effects, or transform existing images — all with fine-tuned control over the output.
Why It Stands Out
- Dual mode support: Works as both text-to-image and image-to-image generator.
- LoRA support: Apply custom LoRA models for specific styles, characters, or aesthetics.
- Prompt Enhancer: Built-in AI-powered prompt optimization for better results.
- Flexible resolution: Customize width and height independently for any aspect ratio.
- Fine-tuned control: Adjust strength, guidance scale for precise results.
- Multiple output formats: Export as JPEG or PNG based on your needs.
- Affordable pricing: High-quality generation at just $0.02 per image.
- Reproducibility: Use the seed parameter to recreate exact results.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the image you want to generate. |
| image | No | Source image for image-to-image transformation. |
| width | No | Output width in pixels (default: 1024). |
| height | No | Output height in pixels (default: 1024). |
| loras | No | LoRA models to apply for custom styles. |
| strength | No | Transformation intensity for I2I (0.0–1.0, default: 0.8). |
| guidance_scale | No | Prompt adherence strength (default: 3.5). |
| seed | No | Set for reproducibility; -1 for random. |
| output_format | No | Output format: jpeg or png (default: jpeg). |
| enable_base64_output | No | Return base64 string instead of URL (API only). |
| enable_sync_mode | No | Wait for result before returning response (API only). |
How to Use
Text-to-Image:
- Write a prompt describing the image you want. Use the Prompt Enhancer for AI-assisted optimization.
- Set dimensions — adjust width and height for your desired aspect ratio.
- Add LoRAs (optional) — apply custom style models.
- Click Run and download your image.
Image-to-Image:
- Upload a source image.
- Write a prompt describing the transformation.
- Adjust strength — lower values preserve more of the original.
- Add LoRAs (optional) for style transfer.
- Click Run and download your image.
Best Use Cases
- Portrait Photography — Generate photorealistic portraits with custom styles.
- Style Transfer — Apply LoRA styles to existing images.
- Creative Projects — Generate unique images with specific aesthetics.
- Character Consistency — Use LoRAs for consistent character appearances.
- Product Visualization — Create stylized product concepts.
Pricing
| Output | Price |
|---|---|
| Per image | $0.02 |
Pro Tips for Best Quality
- Be detailed in your prompt — include subject, style, lighting, mood, and technical details.
- Use LoRAs to apply consistent styles across multiple generations.
- For image-to-image, use lower strength (0.3–0.5) to preserve more of the original.
- Use higher strength (0.7–0.9) for more dramatic transformations.
- Fix the seed when iterating to compare different LoRA or parameter combinations.
Notes
- Ensure uploaded image URLs are publicly accessible.
- Processing time varies based on resolution and current queue load.
- Please ensure your prompts comply with content guidelines.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic ocean wave at sunrise, highly detailed",
"size": "1024*1024",
"strength": 0.8,
"guidance_scale": 3.5,
"seed": -1,
"output_format": "jpeg"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-krea-dev-lora" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}")
TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(curl --silent --show-error --fail-with-body \
"${RESULT_URL}" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}")
RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${STATUS}" in
completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
created|processing) sleep 2 ;;
*) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
esac
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| image | string | No | - | - | |
| size | string | No | 1024*1024 | - | The size of the generated media in pixels (width*height). |
| loras | array<object> | No | 0 ~ 3 items | List of LoRAs to apply (max 3). | |
| strength | number | No | 0.8 | 0 ~ 1 | Strength indicates extent to transform the reference image. |
| guidance_scale | number | No | 3.5 | 0 ~ 20 | The guidance scale to use for the generation. |
| seed | integer | No | -1 | - | 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 set to `true`, the prediction's `output` strings are returned as **naked base64** (no `data:<mime>;base64,` prefix). When `false` (default), outputs are returned as URLs pointing to our CDN. |
| enable_sync_mode | boolean | No | false | - | If set to `true`, the request attempts to wait for the generated result and return outputs in the same response. If the result is not ready within the sync wait window, the API can return a timeout body while the task continues processing. This option is only available via the API and is supported only by some models. |
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 | Output values, usually URL strings; some models return text strings or structured result objects (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.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 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<string | object> | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created |
| 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 |