# Kling 1.5 | Kolors Virtual Try On

Kling Kolors Virtual TryOn v1.5 delivers high-quality image-based try-on results.

## API Information

- **Model Slug:** kling-v1-5-kolors-virtual-try-on
- **Branded URL:** https://www.eachlabs.ai/kling/kling-v1-5/kling-v1-5-kolors-virtual-try-on
- **Provider:** Kling
- **Category:** Image to Image
- **Output Type:** image
- **Status:** active
- **Version:** 0.0.1
- **Base Cost:** Fixed pricing: $0.07 per request
- **Estimated Processing Time:** 20 seconds
- **Last Updated:** 2026-04-16
- **Interactive Demo:** https://www.eachlabs.ai/ai-models/kling-v1-5-kolors-virtual-try-on

## Pricing

- **Charge Type:** dynamic
- **Estimated Price (default example):** $0.0700
- **Pricing Details:** Fixed pricing: $0.07 per request

### Pricing Rules

| Condition | Pricing |
| --- | --- |
| Rule 1 | Fixed pricing: $0.07 per request |

## Input Schema

| Parameter | Type | Required | Default | Constraints | Description |
|-----------|------|----------|---------|-------------|-------------|
| human_image_url | string | Yes | - | - | Url for the human image. |
| garment_image_url | string | Yes | - | - | Url to the garment image. |

## Example Request

```bash
curl -X POST https://api.eachlabs.ai/v1/prediction/ \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "kling-v1-5-kolors-virtual-try-on",
  "input": {
    "garment_image_url": "https://storage.googleapis.com/magicpoint/inputs/kling-v1.5-virtual-try-on-garment-image.jpg",
    "human_image_url": "https://storage.googleapis.com/magicpoint/inputs/kling-v1.5-virtual-try-on-human-image.jpg"
  }
}'
```

## Output Schema

Response returned by `GET /v1/prediction/{id}` when the job completes:

```json
{
  "status": "success",
  "predictionID": "string",
  "output": "string (URL of generated image)",
  "metrics": {
    "predict_time": "number (seconds)"
  }
}
```

## Polling

```bash
curl https://api.eachlabs.ai/v1/prediction/{PREDICTION_ID} \
  -H "Authorization: Bearer YOUR_API_KEY"
```

| Status | Meaning |
|--------|---------|
| `processing` | Still running — poll again |
| `success` | Done — read `output` |
| `error` | Failed — read `message` / `details` |

## Webhook (alternative to polling)

Pass `"webhook_url": "https://your.host/path"` in the create request. Eachlabs POSTs this payload when the job ends:

```json
{
  "exec_id": "prediction-uuid",
  "status": "succeeded",
  "output": "https://...",
  "error": ""
}
```

`status` is `"succeeded"` or `"failed"`. `exec_id` equals the `predictionID` from create. Return 2xx within 30 seconds.

## Errors

Error body: `{ "status": "error", "message": "...", "details": "..." }`

| Code | Meaning |
|------|---------|
| `400` | Invalid input |
| `401` | Missing / invalid `Authorization` bearer token |
| `404` | Unknown model or prediction id |
| `429` | Rate limit — 100 creates / min, 10 concurrent per key |
| `5xx` | Retry with backoff |

## Overview

**kling-v1-5-kolors-virtual-try-on — Image-to-Image AI Model**

Developed by Kling as part of the **kling-v1.5** family, **kling-v1-5-kolors-virtual-try-on** revolutionizes fashion workflows with high-quality virtual try-on capabilities, allowing users to seamlessly fit clothing onto full-body images using advanced image-to-image processing. Powered by the Kolors large model, this **image-to-image AI model** delivers photorealistic results that follow physical laws for natural fabric draping, solving the challenge of costly photoshoots for e-commerce and designers. Ideal for **Kling image-to-image** applications, it transforms a person photo and garment image into a realistic visualization in seconds, supporting up to 1080p resolution for professional-grade outputs.

## Usage Notes

- API Base URL: `https://api.eachlabs.ai/v1`
- Authentication: send `Authorization: Bearer YOUR_API_KEY`. Generate a key from the Eachlabs dashboard at https://www.eachlabs.ai/dashboard/api-keys.
- File-typed parameters (`*_url`, `image_url`, `video_url`, `audio_url`, etc.) accept publicly-reachable HTTPS URLs only. Upload your asset first (GCS / S3 / your CDN) and pass the resulting URL. Data-URIs and localhost URLs are rejected.
- For structured parameters (arrays / objects) send real JSON values, not stringified payloads.
- Monetary values are reported in USD; per-token / per-megapixel rates may be billed in micro-cents internally.
- Prefer `webhook_url` over polling for long-running predictions — see the Webhook Callback section.