Flux 2 Klein 9b Edit

Flux 2 Klein 9b Edit

Playground

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FLUX.2 [klein] 9B Edit is a high-quality image editing model with 9B parameters, offering precise modifications using natural language instructions. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.

Features

FLUX.2 Klein 9B Edit is a powerful image editing model with 9B parameters. Upload images and describe your edits in natural language — the model delivers higher quality transformations and better prompt understanding than the 4B variant.


Why Choose This?

  • Enhanced editing quality 9B parameter model delivers richer detail and better prompt interpretation than the 4B variant.

  • Text-guided editing Describe edits in natural language — transform styles, modify content, combine elements, and more.

  • Multi-image input Upload multiple reference images and combine elements across them (e.g., “Put the person in image1 into image2”).

  • Flexible output sizing Optionally set output size, or leave empty to match input image dimensions.

  • Prompt Enhancer Built-in tool to automatically improve your prompts for better results.


Parameters

ParameterRequiredDescription
promptYesText description of the desired edit
imagesYesSource images to edit (can add multiple)
sizeNoOutput dimensions (empty = same as input image)
seedNoRandom seed for reproducibility (-1 for random)

How to Use

  1. Write your prompt — describe the edit you want (e.g., “Put the person in image1 into image2”, “Change to watercolor style”).
  2. Upload images — add source images using ”+ Add Item” button.
  3. Set size (optional) — specify output dimensions or leave empty to match input.
  4. Set seed — use -1 for random, or specify a number for reproducibility.
  5. Run — submit and download the edited image.

Pricing

ItemCost
Per image$0.016

Simple flat-rate pricing regardless of image size.


Best Use Cases

  • Image Compositing — Combine elements from multiple images seamlessly.
  • Style Transfer — Transform images to different artistic styles with high fidelity.
  • Professional Editing — When 4B quality isn’t enough for production work.
  • Content Transformation — Change moods, lighting, or visual themes with precision.
  • Complex Edits — Multi-image operations that require better understanding.

Pro Tips

  • Be specific in your prompt — clearly describe what should change.
  • Reference images by number in prompts (e.g., “Put the person in image1 into image2”).
  • Leave size empty to preserve original image dimensions.
  • Use the same seed to compare different prompts on the same images.

Notes

  • If size is not specified, output matches input image dimensions.
  • 9B model offers better detail than 4B at slightly higher cost.
  • Need LoRA support? Try FLUX.2 Klein 9B Edit LoRA.

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",
  "images": [
    "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
  ],
  "seed": -1
}
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-2-klein-9b/edit" \
  -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--
imagesarray<string>Yes-1 ~ 3 itemsList of reference image URLs (1-3 images).
seedintegerNo-1--
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.
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.

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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