Flux Redux Dev

Flux Redux Dev

Playground

Try it on WavespeedAI!

FLUX.1 Redux [dev] adapts FLUX.1 base models to generate subtle image variations and easy image-to-image restyling for refinement. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

FLUX Redux Dev

FLUX Redux Dev is a versatile image variation model that generates new images inspired by your source image. Upload an image and the model creates variations that capture the essence of your original while exploring new creative possibilities.


Why It Stands Out

  • Image-driven generation: Create variations based on your source image’s style, composition, and content.
  • Flexible resolution: Customize width and height independently for any aspect ratio.
  • Batch generation: Create multiple variations in a single request.
  • Multiple output formats: Export as JPEG or PNG based on your needs.
  • Fine-tuned control: Adjust guidance scale and inference steps for precise results.
  • Reproducibility: Use the seed parameter to recreate exact results.

Parameters

ParameterRequiredDescription
imageYesSource image for variation (upload or public URL).
widthNoOutput width in pixels (default: 1024).
heightNoOutput height in pixels (default: 1024).
num_inference_stepsNoQuality/speed trade-off (default: 28).
guidance_scaleNoVariation strength (default: 3.5).
num_imagesNoNumber of images to generate (default: 1).
seedNoSet for reproducibility; -1 for random.
output_formatNoOutput format: jpeg or png (default: jpeg).
enable_base64_outputNoReturn base64 string instead of URL (API only).
enable_sync_modeNoWait for result before returning response (API only).

How to Use

  1. Upload your source image — drag and drop a file or paste a public URL.
  2. Set dimensions — adjust width and height for your desired output size.
  3. Adjust parameters (optional) — fine-tune guidance scale and inference steps.
  4. Set num_images — generate multiple variations at once.
  5. Click Run and download your image variations.

Best Use Cases

  • Creative Exploration — Generate multiple variations of a concept to explore possibilities.
  • Design Iteration — Create variations of designs for A/B testing or client options.
  • Art Direction — Explore different interpretations of a visual concept.
  • Content Diversification — Generate multiple unique images from a single source.
  • Style Exploration — Discover new visual directions based on existing images.

Pricing

OutputPrice
Per image$0.025

Pro Tips for Best Quality

  • The model generates variations based purely on the source image’s visual content.
  • Use lower guidance scale (2–3) for subtle variations closer to the original.
  • Use higher guidance scale (4–5) for more dramatic departures from the source.
  • Generate multiple images (num_images > 1) to explore the variation space.
  • Fix the seed when adjusting other parameters to isolate their effect.
  • Use PNG format when you need higher quality or transparency support.

Notes

  • Ensure uploaded image URLs are publicly accessible.
  • Processing time varies based on resolution and current queue load.
  • Please ensure your content complies with usage guidelines.

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-redux-dev" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "size": "1024*1024",
    "num_inference_steps": 28,
    "guidance_scale": 3.5,
    "num_images": 1,
    "seed": -1,
    "output_format": "jpeg",
    "enable_base64_output": false,
    "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
imagestringYes-The URL of the image to generate an image from.
sizestringNo1024*1024256 ~ 1536 per dimensionThe size of the generated media in pixels (width*height).
num_inference_stepsintegerNo281 ~ 50The number of inference steps to perform.
guidance_scalenumberNo3.51 ~ 20The 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.
output_formatstringNojpegjpeg, png, webpThe 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_sync_modebooleanNofalse-If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result 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 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.outputsstringArray 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.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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