FLUX.2 [pro] Edit delivers production-grade image-to-image editing from Black Forest Labs—apply natural-language instructions and exact hex color control for consistent, studio-quality results. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
ว่าง

$0.06ต่อครั้ง·~16 / $1





FLUX.2 [pro] Edit is the top-tier image editing engine of the FLUX family, built for production teams who need reliable, high-fidelity edits from natural language instructions. It can take one or several reference images plus a prompt and turn them into clean, on-brand transformations suitable for final delivery—not just drafts.
Rather than exposing a long list of inference knobs, FLUX.2 [pro] Edit is tuned to behave the same way every time: you pass in image(s) and a prompt, it returns a polished edit. Internal settings are fixed for production use, so non-experts and API-driven workflows both get stable behaviour without babysitting parameters.
Use several input images in the same request when you need to match outfits, backgrounds, or stylistic cues—pro understands how they relate and applies changes accordingly.
Describe edits in normal English (“make the background a clean studio grey and match the logo colour to our brand red”) instead of painting masks, cutting layers, or writing complex configs. Hex colours for brand palettes are supported when you need exact matches.
Refines lighting, texture, and local detail while keeping composition, perspective, and identity intact, so the result looks like a carefully shot original rather than an obviously patched image.
No guidance scales, schedulers, or step counts to tune—just prompt-to-edit. That makes it easy to plug into batch jobs, web backends, or no-code tools without a separate “parameter tuning” phase.
A fixed optimisation profile plus seed control mean that large edit batches behave predictably, which is crucial for A/B testing, QA, and evergreen production flows.
Exports standard JPEG so edited assets can go straight into design tools, websites, print workflows, or further post-production with no extra conversion steps.
Use FLUX.2 [pro] Edit alongside the rest of the FLUX.2 lineup for a complete generate-and-edit stack:
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-2-pro/edit with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Flux 2 Pro Edit below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-2-pro/edit" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"seed": -1,
"enable_sync_mode": false,
"enable_base64_output": false
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("wavespeed-ai/flux-2-pro/edit", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"seed": -1,
"enable_sync_mode": false,
"enable_base64_output": false
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/flux-2-pro/edit",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"seed": -1,
"enable_sync_mode": false,
"enable_base64_output": false
}
)
print(output["outputs"][0]) # → URL of the generated outputFlux 2 Pro Edit is a WaveSpeedAI model for image editing, exposed as a REST API on WaveSpeedAI. FLUX.2 [pro] Edit delivers production-grade image-to-image editing from Black Forest Labs—apply natural-language instructions and exact hex color control for consistent, studio-quality results. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/flux-2-pro-edit.
Flux 2 Pro Edit starts at $0.060 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `prompt`, `images`, `seed`, `enable_base64_output`, `enable_sync_mode`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/flux-2-pro-edit.
Average end-to-end generation time on WaveSpeedAI is around 40 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.