IC-Light V2 is an AI-powered image relighting model. Relight any image with customizable lighting direction. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Boşta

$0.2çalıştırma başına·~50 / $10

studio portrait lighting, do not change the background
IC-Light is an AI-powered image relighting model that transforms the lighting of any photo with a simple text prompt. Change the direction, mood, and quality of light in your images — from dramatic side lighting to soft ambient glow — all without manual editing.
Text-driven relighting Describe the lighting you want (e.g., "sunlight", "soft studio light", "golden hour") and the model applies it naturally.
Directional control Choose from five lighting directions — None, Left, Right, Top, Bottom — for precise control over light placement.
Non-destructive transformation Preserves subject details, textures, and colors while only changing the lighting characteristics.
Product-ready results Perfect for e-commerce, photography enhancement, and creative projects requiring consistent lighting.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Describe the desired lighting effect (e.g., sunlight, studio light, warm glow) |
| image | Yes | Source image to relight (upload or URL) |
| lighting_direction | No | Light direction: None, Left, Right, Top, Bottom |
| Output | Cost |
|---|---|
| Per image | $0.20 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/ic-light 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 Ic Light below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ic-light" \
-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",
"lighting_direction": "None"
}'
# 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/ic-light", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"lighting_direction": "None"
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/ic-light",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"lighting_direction": "None"
}
)
print(output["outputs"][0]) # → URL of the generated outputIc Light is a WaveSpeedAI model for image editing, exposed as a REST API on WaveSpeedAI. IC-Light V2 is an AI-powered image relighting model. Relight any image with customizable lighting direction. 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/ic-light.
Ic Light starts at $0.20 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`, `lighting_direction`. 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/ic-light.
Average end-to-end generation time on WaveSpeedAI is around 185 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.