Image Lighting | Fast Image Editing API

Topaz Image Lighting

Topaz Image Lighting is a professional-grade image lighting and color adjustment model powered by Topaz Labs' AI technology. Upload your image and let AI automatically adjust lighting, correct white balance, or even colorize black-and-white photos.

Why Choose This?

AI-powered lighting adjustment Automatically enhance exposure, shadows, highlights, and overall lighting balance.
White balance correction Fix color casts and correct inaccurate white balance from any lighting condition.
Photo colorization Transform black-and-white photos into natural-looking color images.
Professional quality Powered by Topaz Labs' AI, trusted by professional photographers worldwide.
Multiple output formats Export as JPEG, PNG, or TIFF based on your workflow needs.

Parameters

Parameter	Required	Description
image	Yes	Source image to process (upload or URL)
model	No	Processing model to use (default: Adjust)
output_format	No	Output format: jpeg, jpg, png, tiff, or tif

Model Options

Model	Description
Adjust	General lighting and exposure adjustment (default)
Adjust V2	Improved lighting adjustment with better tonal range
White Balance	Correct color casts and white balance issues
Colorize	Add natural color to black-and-white images

Output Format Options

jpeg / jpg — Compressed format, smaller file size
png — Lossless format, supports transparency
tiff / tif — Professional format, highest quality preservation

How to Use

Upload your image — drag and drop or paste a URL.
Select model — choose based on what you want to achieve.
Choose output format — select based on your quality and file size needs.
Run — submit and download the processed image.

Pricing

Item	Cost
Per image	$0.15

Simple flat-rate pricing regardless of image size or model selected.

Best Use Cases

Exposure Correction — Fix underexposed or overexposed photos.
White Balance Fix — Correct color casts from artificial lighting.
Photo Restoration — Colorize old black-and-white family photos.
Batch Processing — Consistently adjust lighting across multiple images.
Professional Editing — Quick lighting fixes in professional workflows.

Pro Tips

Use Adjust V2 for better results on challenging lighting conditions.
White Balance model works best on images with obvious color casts.
Colorize model produces natural results but may need manual tweaking for historical accuracy.
For archival work, export as TIFF to preserve maximum quality.

Notes

Adjust models work on both color and black-and-white images.
Colorize model is specifically designed for black-and-white to color conversion.
Results may vary based on original image quality and lighting conditions.

Related Models

Topaz Image Sharpen — AI-powered image sharpening.
Topaz Image Denoise — AI-powered noise reduction.
Topaz Image Restore — AI-powered dust and scratch removal.

Image Lighting API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/topaz/image/lighting 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 Image Lighting below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/topaz/image/lighting" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "image": "https://example.com/your-input.jpg",
    "model": "Adjust",
    "output_format": "jpeg",
    "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].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("topaz/image/lighting", {
        "image": "https://example.com/your-input.jpg",
        "model": "Adjust",
        "output_format": "jpeg",
        "enable_base64_output": false
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "topaz/image/lighting",
    {
    "image": "https://example.com/your-input.jpg",
    "model": "Adjust",
    "output_format": "jpeg",
    "enable_base64_output": false
}
)

print(output["outputs"][0])  # → URL of the generated output

Image Lighting API — Frequently asked questions

What is the Image Lighting API?

Image Lighting is a Topaz model for image editing, exposed as a REST API on WaveSpeedAI. Topaz Image Lighting adjusts and balances images to improve quality despite sub-optimal lighting. Fix exposure, white balance, and color temperature. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Image Lighting API?

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/topaz/topaz-image-lighting.

How much does Image Lighting cost per run?

Image Lighting starts at $0.15 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.

What inputs does Image Lighting accept?

Key inputs: `image`, `enable_base64_output`, `model`, `output_format`. 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/topaz/topaz-image-lighting.

How long does Image Lighting take to generate?

Average end-to-end generation time on WaveSpeedAI is around 10 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Image Lighting outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Topaz). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

ПримерыСмотреть всё

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