FLUX.2 [dev] Edit enables precise 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.
Idle

$0.024per run·~41 / $1





FLUX.2 [dev] Edit is the lean editing companion to FLUX.2 [dev] Text-to-Image: a lightweight, open-source model that updates existing images quickly while keeping their core look intact. It is built for day-to-day production tasks where you need reliable edits at scale without burning GPU budget.
Instead of regenerating images from scratch, FLUX.2 [dev] Edit focuses on local changes. You feed it an image plus an edit prompt (and, when supported, a mask or strength setting); it modifies only the requested areas, keeping layout, characters, and overall style stable so assets remain recognisable across versions.
Change lighting, colour, clothing, props, or background details with short text instructions, replacing manual retouching and pixel-level editing.
Refresh campaigns, seasonal variants, or A/B test creatives while preserving character identity, composition, and brand language across all outputs.
Built on the same open FLUX.2 stack, making it straightforward to plug into internal tools, debug behaviour, or extend with custom logic.
The compact dev architecture keeps inference costs low, which is ideal for batch processing, automation, and always-on backend services.
Accepts standard image formats and returns JPEG or PNG, so edited results fit directly into web, design, and post-production workflows.
Seed control plus fixed prompts make it easy to recreate previous edits or generate controlled variations for QA, experimentation, and asset refreshes.
Simple per-image billing:
Combine FLUX.2 [dev] Edit with the rest of the FLUX.2 lineup for a full generate-and-refine workflow:
FLUX.2 [dev] Text-to-Image – lightweight base model optimised for speed and LoRA training.
FLUX.2 Flex Text-to-Image – more flexible, style-rich generation for creative exploration.
FLUX.2 Flex Edit – powerful image editing with a broader stylistic range.
FLUX.2 Pro Text-to-Image – higher-capacity model for maximum-quality hero shots and demanding production use.
FLUX.2 Pro Edit – premium editing for detailed, high-fidelity transformations.
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-2-dev/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 Dev Edit below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-2-dev/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-dev/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-dev/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 Dev Edit is a WaveSpeedAI model for image editing, exposed as a REST API on WaveSpeedAI. FLUX.2 [dev] Edit enables precise 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-dev-edit.
Flux 2 Dev Edit starts at $0.024 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-dev-edit.
Average end-to-end generation time on WaveSpeedAI is around 18 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.