# Pruna | P Image | Edit

P-image Edit is an image editing model that applies precise, high-quality edits from text prompts with fast performance and consistent results, built for production use cases.

## API Information

- **Model Slug:** p-image-edit
- **Branded URL:** https://www.eachlabs.ai/pruna/p-image/p-image-edit
- **Provider:** Pruna AI
- **Category:** Image to Image
- **Output Type:** image
- **Status:** active
- **Version:** 0.0.1
- **Base Cost:** $0.01 per edited image
- **Estimated Processing Time:** 1 seconds
- **Last Updated:** 2026-08-11
- **Interactive Demo:** https://www.eachlabs.ai/ai-models/p-image-edit

## Pricing

- **Charge Type:** dynamic
- **Estimated Price (default example):** $0.0100
- **Pricing Details:** $0.01 per edited image

### Pricing Rules

| Condition | Pricing |
| --- | --- |
| Rule 1 | $0.01 per edited image |

## Input Schema

| Parameter | Type | Required | Default | Constraints | Description |
|-----------|------|----------|---------|-------------|-------------|
| prompt | string | Yes | - | - | Text prompt for image generation. Make sure to describe your edit task clearly. You can refer to the images as 'image 1' and 'image 2' and so on. |
| images | array | No | - | 1–10 | Images to use as a reference. For editing task, provide the main image as the first image. |
| turbo | boolean | No | true | - | If turned on, the model will run faster with additional optimizations. For complicated tasks, it is recommended to turn this off. |
| aspect_ratio | string | No | match_input_image | match_input_image,1:1,16:9,9:16,4:3,3:4,3:2,2:3 | An enumeration. |
| seed | integer | No | - | - | Random seed. Set for reproducible generation. |
| disable_safety_checker | boolean | No | false | - | Disable safety checker for generated images. |

## 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": "p-image-edit",
  "input": {
    "prompt": "Dress the woman in an elegant fancy dress and fancy high heels with refined details.”"
  }
}'
```

## 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

**p-image-edit — Image Editing AI Model**

Developed by Pruna as part of the P-Image family, **p-image-edit** is a state-of-the-art text-based image editing model that transforms existing images with precise, high-quality changes driven by natural language prompts, ideal for developers seeking an **image-to-image AI model** with production-ready speed and consistency. Unlike standard text-to-image generators, p-image-edit excels at targeted edits on user-provided images, enabling seamless modifications like adding objects or altering styles without regenerating from scratch. This makes it perfect for **AI image editor API** integrations where fast, reliable outputs are essential for apps handling **edit images with AI** workflows.

## 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.