Flux Srpo

Flux Srpo

Playground

Try it on WaveSpeedAI!

FLUX SRPO [dev] is a 12-billion-parameter flow transformer that generates high-quality, aesthetically rich images from text prompts for personal and commercial use. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

FLUX SRPO is a high-quality image generation model that creates stunning visuals from text descriptions. Built on the FLUX architecture with SRPO optimization, it delivers exceptional detail, composition, and artistic quality at an affordable price.


Why It Stands Out

  • High-quality generation: Produces sharp, detailed images with excellent composition and aesthetics.
  • Prompt Enhancer: Built-in AI-powered prompt optimization helps craft better descriptions for improved results.
  • Flexible resolution: Customize width and height independently for any aspect ratio.
  • Fine-tuned control: Adjust guidance scale and inference steps to balance quality and creativity.
  • Multiple output formats: Export as JPEG or PNG based on your needs.
  • Reproducibility: Use the seed parameter to recreate exact results or explore variations.

Parameters

ParameterRequiredDescription
promptYesText description of the image you want to generate.
widthNoOutput width in pixels (default: 1024).
heightNoOutput height in pixels (default: 1024).
strengthNoGeneration strength (default: 0.8).
num_inference_stepsNoQuality/speed trade-off (default: 28).
seedNoSet for reproducibility; -1 for random.
guidance_scaleNoPrompt adherence strength (default: 3.5).
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. Write a prompt describing the image you want. Use the Prompt Enhancer for AI-assisted optimization.
  2. Set dimensions — adjust width and height for your desired aspect ratio.
  3. Adjust parameters — fine-tune guidance scale and inference steps as needed.
  4. Choose output format — select JPEG or PNG.
  5. Click Run and download your image.

Best Use Cases

  • Creative Art & Illustration — Generate unique artwork, concept art, and digital illustrations.
  • Marketing & Social Media — Produce eye-catching visuals for campaigns and posts.
  • Product Visualization — Create product mockups and lifestyle imagery.
  • Design Prototyping — Quickly visualize ideas before committing to full production.
  • Personal Projects — Bring any imaginable scene to life for art and experimentation.

Pricing

OutputPrice
Per image$0.025

Pro Tips for Best Quality

  • Be descriptive in your prompt — include style, mood, lighting, composition, and specific details.
  • Use style keywords like “cinematic,” “photorealistic,” “watercolor,” or “digital art” to guide the aesthetic.
  • Lower guidance scale (2–4) allows more creativity; higher values (5–7) follow prompts more strictly.
  • Fix the seed when iterating to compare the effect of different parameters.
  • Start with default inference steps, then increase for finer detail if needed.

Notes

  • 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,
  "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-srpo" \
  -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.
sizestringNo1024*1024-The size of the generated media in pixels (width*height).
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., “success”)
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., “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
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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