Flux 2 Flash Edit

Flux 2 Flash Edit

Playground

Try it on WaveSpeedAI!

FLUX 2 flash Edit from Black Forest Labs delivers ultra-fast, production-grade image-to-image editing. Use plain-English prompts and precise HEX color control to restyle scenes, replace backgrounds, inpaint/outpaint, and retouch with brand-consistent palettes. Low-latency REST API, no cold starts, affordable pricing.

Features

FLUX.2 Flash Edit is a fast, cost-efficient image-to-image editing model for prompt-driven transformations. Give it one or more input images plus a clear instruction, and it will apply targeted edits while keeping the overall composition stable—great for high-throughput creative pipelines.

It’s best suited for quick style shifts, background tweaks, light retouching, and generating multiple variations for iteration or A/B testing.


Key capabilities

  • Ultra-fast prompt-driven editing Apply natural-language edit instructions with low latency for rapid iteration.

  • Composition-stable transformations Keeps layout and key identity cues stable while applying targeted changes.

  • Multi-image editing (up to 4 inputs) Accepts multiple input image URLs to guide the edit and/or provide references.

  • Production-friendly controls Deterministic results with seed, plus API-only options for synchronous responses and base64 outputs.

  • Size control for common creative formats Generate outputs sized for banners, posters, social crops, and product imagery.


Parameters and how to use

  • prompt: (required) The positive prompt describing what to change and what to preserve.
  • images: (required) Array of input image URLs for editing (1–4 items).
  • size: Output size as a string in width*height pixels (each dimension 256–1536).
  • seed: Random seed (-1 for random; fixed value for repeatability).
  • enable_base64_output: If true, returns the output as a base64 string instead of a URL (API-only).
  • enable_sync_mode: If true, waits for generation to finish and returns the result in the same response (API-only).

Prompt

Write prompts like an editor’s brief: what to change, what to keep, and what “done” looks like.

Tips that work well for FLUX.2 Flash Edit:

  • Start with the exact change: “replace the background with…”, “restyle as…”, “remove…”, “retouch…”
  • Explicitly preserve what matters: “keep the same face, pose, framing, and logo text.”
  • Keep edits scoped. If the output drifts, reduce the number of simultaneous changes and iterate in smaller steps.

Media (Images)

  • images must be 1–4 URLs pointing to your input images.
  • If your images are local files, upload them first (for example via WaveSpeedAI’s media upload endpoint) and use the returned download_url values here.
  • For best stability, use clear, high-quality inputs and avoid heavily compressed thumbnails.

Other parameters

  • size Use width*height (for example 1024*1024, 832*1216, 1216*832). Each dimension must be 256–1536.

  • seed

  • -1 (default behavior) for a new variation each run

  • A fixed integer (for example 12345) for repeatable results and controlled iteration

  • enable_sync_mode (API-only)

  • false (default): submit a task, then query the prediction result

  • true: wait and return the finished output in the same response (simpler integration, but the request takes longer)

  • enable_base64_output (API-only)

  • false (default): outputs are URLs

  • true: outputs are base64 strings (useful when you can’t fetch remote URLs)

After you finish configuring the parameters, click Run, preview the result, and iterate if needed.


Pricing

$0.013 per run


Notes

  • If you need consistency across a batch, keep size and seed fixed and vary only the prompt.
  • When using multiple input images, describe how they should be used (for example: “use image 1 as the base; use image 2 as style reference”).
  • For UI-safe outputs, keep instructions specific (avoid “make it more provocative” style prompts) and review results before publishing.

  • FLUX.2 Flash Text-to-Image – The same “flash” tier optimized for fast, low-cost generation from text prompts.
  • FLUX.2 Dev Edit – A lightweight edit variant that’s useful when you want a different speed/cost/quality trade-off.
  • FLUX.2 Flex Edit – A stronger choice when you need more controlled, style-consistent edits.
  • FLUX 2 Max Edit – Higher-fidelity editing for detail-critical or “hero” assets.

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-flash/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-The positive prompt for the generation.
imagesarray<string>Yes-0 ~ 4 itemsList of URLs of input images for editing. The maximum number of images is 4.
seedintegerNo-1-The random seed to use for the generation. -1 means a random seed will be used.
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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