Reve Art AI (reve/edit) provides Image-to-Image editing for precise photo edits, retouches, and transformations. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle

$0.04per run·~25 / $1
ReVE Edit is a next-generation image editing model that allows users to apply detailed visual transformations through natural language. Whether you want to restyle portraits, modify backgrounds, or create artistic reinterpretations, ReVE Edit delivers realistic and coherent results while preserving structure and identity.
Prompt-based Editing Modify any image using simple text — describe what to change, and the model will handle the rest.
Consistent Visual Quality Maintains subject structure, lighting, and perspective while introducing new visual elements.
Flexible Applications Ideal for portrait editing, fantasy transformations, outfit changes, background replacement, and creative concept design.
Seed Control Use the seed option for reproducibility and variation.
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/reve/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 Edit below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/reve/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",
"image": "https://example.com/your-input.jpg",
"seed": 0
}'
# 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("reve/edit", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"seed": 0
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"reve/edit",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"seed": 0
}
)
print(output["outputs"][0]) # → URL of the generated outputEdit is a Reve model for image editing, exposed as a REST API on WaveSpeedAI. Reve Art AI (reve/edit) provides Image-to-Image editing for precise photo edits, retouches, and transformations. 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/reve/reve-edit.
Edit starts at $0.040 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`, `image`, `seed`. 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/reve/reve-edit.
Average end-to-end generation time on WaveSpeedAI is around 21 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 (Reve). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.