Flux 2 Turbo Edit
Playground
Try it on WaveSpeedAI!FLUX 2 turbo Edit delivers ultra-fast image-to-image editing from Black Forest Labs—apply natural-language instructions and exact hex color control for consistent, studio-quality results at turbo speed. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
FLUX 2 Turbo Edit (wavespeed-ai/flux-2-turbo/edit) is a fast, practical image-to-image editing model for applying natural-language changes to an existing image (for example: lighting, color, props, background, or style), while keeping the original composition and identity cues stable.
It’s well suited for high-volume creative workflows where you want reliable edits with minimal configuration—provide an input image, describe the change, and iterate quickly.
Key capabilities
-
Prompt-guided image editing (image-to-image) Apply targeted edits using plain-language instructions (for example: “make it winter”, “change the background to studio gray”, “increase contrast while keeping the face and pose”).
-
Composition- and identity-preserving updates Optimized for “update, not regenerate” workflows, helping preserve layout, subjects, and overall visual identity across edits.
-
Repeatable results via seed control Use a fixed
seedto reproduce the same edit or generate controlled variations for testing and comparison. -
Flexible image inputs (up to 4 images) Supports 1–4 input images, allowing reference-based edits or multi-image context.
-
Production-friendly outputs Results can be returned as hosted image URLs by default, or as Base64-encoded data for direct embedding.
Parameters and how to use
prompt: (required) The edit instruction describing what you want to change.images: (required) Array of input image URLs (1–3 items) to edit.size: Output size in pixels as"width*height".seed: Random seed for generation (-1for random; fixed integer for repeatability).enable_sync_mode: Iftrue, waits for completion and returns the result in the response (API only).enable_base64_output: Iftrue, returns Base64-encoded output instead of a URL (API only).
Prompt
Write your prompt like a concise edit brief:
- State the change clearly Example: “Change the weather to winter. Add light snowfall and frosty breath.”
- Explicitly say what must stay the same Example: “Keep the same person, pose, face, and camera framing.”
- Specify visual attributes Mention lighting, materials, mood, or style (for example: “soft studio lighting”, “high-contrast cinematic look”).
- Use exact values for precision For branding or color accuracy, specify exact values such as hex color codes.
Media (Images)
- Provide
imagesas publicly accessible image URLs. - Supports 1 to 4 images per request.
Other parameters
-
sizeControls output resolution using"width*height". Typical values: -
"1024*1024"for square assets -
"1536*1024"for wide banners -
"1024*1536"for portrait layouts -
seed -
-1for a new variation each run -
A fixed integer (for example:
12345) for repeatable edits -
enable_sync_mode(API only) Set totrueif you want the API call to block until the result is ready. -
enable_base64_output(API only) Set to `true if you need Base64 output instead of a hosted image URL.
After you finish configuring the parameters, click Run, preview the result, and iterate if needed.
Pricing
$0.019 per run
Notes
- For the most stable results, make one type of change at a time and reuse the same
seedwhile iterating. - If edits change too much of the original image, reinforce constraints in the prompt (for example: “keep the same composition, identity, and proportions”).
Related Models
- FLUX.2 Dev Edit – A lightweight, cost-efficient FLUX.2 editing variant.
- FLUX.2 Flex Edit – A more flexible option for creative and stylistic exploration.
- FLUX.2 Pro Edit – Higher-fidelity edits designed for production and brand assets.
- FLUX.2 Max Edit – The highest-quality FLUX.2 editing model for detail-critical work.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(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-turbo/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 |