Flux 1 Srpo Image To Image

Flux 1 Srpo Image To Image

Playground

Try it on WaveSpeedAI!

FLUX.1 SRPO [dev] is a 12B-parameter flow transformer for high-quality image-to-image conversions that produce commercial visuals. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

FLUX.1 SRPO [dev] is a 12-billion-parameter rectified flow transformer designed to enhance and reimagine images with exceptional clarity and aesthetic balance. It excels at high-quality image restoration, upscaling, and stylization β€” producing sharp, detailed results suitable for both personal and commercial use.


🌟 Key Features

  • Next-Generation Super-Resolution Enhances image sharpness and texture detail while preserving natural color balance.

  • Aesthetic Refinement Improves visual composition and lighting consistency for art, portraits, and photography.

  • Flexible Style Fidelity Retains the original artistic tone or applies subtle enhancement depending on your prompt.

  • Wide Format Support Outputs in both JPEG and PNG for web, print, or design workflows.

  • Developer-Friendly [dev] Build Offers faster inference and adjustable parameters for integration and research testing.


βš™οΈ Capabilities

  • Input: Image (JPEG / PNG)
  • Output: Enhanced image (JPEG / PNG)
  • Supported Tasks: Super-resolution, refinement, detail recovery, aesthetic enhancement

πŸ’° Pricing

Per image just need $0.025 !!!


πŸ’‘ Best Use Cases

  • Photography & Retouching β€” Sharpen, restore, or elevate existing visuals.
  • Design & Media Production β€” Create polished assets for advertising and social content.
  • AI Art Enhancement β€” Refine outputs from generative models with smoother tones and richer detail.
  • Commercial Print & Branding β€” Prepare upscale, high-fidelity assets for professional production.

πŸ“ Notes

  • Clear, high-resolution inputs produce the best enhancement results.
  • For heavily stylized or low-detail images, subtle artifacts may appear.
  • Available output formats: JPEG or PNG.

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",
  "strength": 0.8,
  "num_inference_steps": 28,
  "seed": -1,
  "guidance_scale": 3.5,
  "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-1-srpo/image-to-image" \
  -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
done

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The positive prompt for the generation.
imagestringNo-The image to generate an image from.
strengthnumberNo0.80 ~ 1Strength indicates extent to transform the reference image.
num_inference_stepsintegerNo281 ~ 50The number of inference steps to perform.
seedintegerNo-1-The random seed to use for the generation. -1 means a random seed will be used.
guidance_scalenumberNo3.51 ~ 20The guidance scale to use for the generation.
output_formatstringNojpegjpeg, pngThe format of the output image.
enable_base64_outputbooleanNofalse-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_modebooleanNofalse-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

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., β€œsuccess”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayOutput values, usually URL strings; some models return text strings or structured result objects (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., β€œ2023-04-01T12:34:56.789Z”)
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., β€œsuccess”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction
data.modelstringModel ID used for the prediction
data.outputsarray<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.urlsobjectObject containing related API endpoints
data.urls.getstringURL to poll for the prediction result
data.statusstringStatus: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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