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*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 1–4 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_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
$0.013 per run
Notes
- If you need consistency across a batch, keep
sizeandseedfixed and vary only the prompt. - When using multiple input images, describe how they should be used (for example: “use image 1 as the base; use image 2 as style reference”).
- For UI-safe outputs, keep instructions specific (avoid “make it more provocative” style prompts) and review results before publishing.
Related Models
- FLUX.2 Flash Text-to-Image – The same “flash” tier optimized for fast, low-cost generation from text prompts.
- FLUX.2 Dev Edit – A lightweight edit variant that’s useful when you want a different speed/cost/quality trade-off.
- FLUX.2 Flex Edit – A stronger choice when you need more controlled, style-consistent edits.
- FLUX 2 Max Edit – Higher-fidelity editing for detail-critical or “hero” assets.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(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"
],
"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
doneParameters
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 ~ 4 items | List of URLs of input images for editing. The maximum number of images is 4. |
| seed | integer | No | -1 | - | The random seed to use for the generation. -1 means a random seed will be used. |
| enable_base64_output | boolean | No | false | - | 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_mode | boolean | No | false | - | 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
| 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.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| 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.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: created, processing, completed, or failed |
| 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 |