Flux 2 Flash Edit API Documentation
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 3 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 (1–3 items).
- size: Output size as a string in
width*heightpixels (each dimension 256–1536). - seed: Random seed (
-1for 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)
imagesmust be 1–3 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_urlvalues here. - For best stability, use clear, high-quality inputs and avoid heavily compressed thumbnails.
Other parameters
-
sizeUsewidth*height(for example1024*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
Pricing starts at $0.03 per request, including one reference image. Each additional reference image costs $0.005.
| Reference Images | Price |
|---|---|
| 1 | $0.035 |
| 2 | $0.040 |
| 3 | $0.045 |
| 4 | $0.050 |
Notes
- If you need consistency across a batch, keep
sizeandseedfixed and vary only the prompt. - When using multiple input images, describe how they should be used (for example: “use image 1 as the base; use image 2 as style reference”).
- For UI-safe outputs, keep instructions specific (avoid “make it more provocative” style prompts) and review results before publishing.
Related Models
- FLUX.2 Flash Text-to-Image – The same “flash” tier optimized for fast, low-cost generation from text prompts.
- FLUX.2 Dev Edit – A lightweight edit variant that’s useful when you want a different speed/cost/quality trade-off.
- FLUX.2 Flex Edit – A stronger choice when you need more controlled, style-consistent edits.
- FLUX 2 Max Edit – Higher-fidelity editing for detail-critical or “hero” assets.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(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"
]
}
JSON
)
# 1. Submit the prediction once. Never retry this request automatically:
# a retry after an unclear failure can create a second, billed task.
CHECK='The task may already exist. Check History or the predictions list before submitting again.'
if ! SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
--connect-timeout 10 --max-time 60 \
-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}"); then
printf 'Submit failed. %s\n' "${CHECK}" >&2
exit 1
fi
TASK=$(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. %s\n' "${CHECK}" >&2
exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"
# 2. Poll until the prediction reaches a final status.
BODY_FILE=$(mktemp)
trap 'rm -f "${BODY_FILE}"' EXIT
while true; do
# Transient errors (429, 5xx) are retried, honoring Retry-After.
HTTP_CODE=$(curl --silent --show-error --fail-with-body \
--connect-timeout 10 --max-time 60 --retry 5 --retry-delay 2 \
--output "${BODY_FILE}" --write-out '%{http_code}' \
"${RESULT_URL}" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" || true)
case "${HTTP_CODE}" in
2??) ;;
000|429|5??) # dropped connection or temporary error: keep polling
printf 'Task %s: HTTP %s, polling again in 10s\n' "${PREDICTION_ID}" "${HTTP_CODE}" >&2
sleep 10; continue ;;
*) printf 'Task %s: HTTP %s\n' "${PREDICTION_ID}" "${HTTP_CODE}" >&2
cat "${BODY_FILE}" >&2; exit 1 ;;
esac
RESULT=$(jq 'if type == "object" and has("data") then .data else . end' "${BODY_FILE}")
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${STATUS}" in
completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
failed|cancelled|timeout|deleted)
printf 'Task %s ended with status %s\n' "${PREDICTION_ID}" "${STATUS}" >&2
printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
*) sleep 2 ;;
esac
doneRetry temporary errors only while polling, never the submit request. Errors, retries and timeouts
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| images | array<string> | Yes | - | 0 ~ 3 items | List of URLs of input images for editing. The maximum number of images is 4. |
| size | string | No | - | 512 ~ 2048 | Advanced option. The size of the generated media in pixels (width*height). |
| seed | integer | No | - | - | The random seed to use for the generation. -1 means a random seed will be used. |
Every model also accepts the global request options enable_sync_mode and enable_base64_output; see their pages for details.
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Output values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.status | string | Task status. completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses. |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<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.urls | object | Object containing related API endpoints |
| data.status | string | Status: completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses |
| data.created_at | string | ISO timestamp of when the request was created |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |