# Meta Muse Image Edit

Meta Muse Image Edit transforms reference images with prompt-guided edits, helping creative teams refine style, composition, color, and details.

## API Information

- **Model Slug:** meta-muse-image-edit
- **Branded URL:** https://www.eachlabs.ai/meta/muse-image/meta-muse-image-edit
- **Provider:** Meta
- **Category:** Image to Image
- **Output Type:** image
- **Status:** active
- **Base Cost:** $0.01 per image
- **Estimated Processing Time:** 60 seconds
- **Interactive Demo:** https://www.eachlabs.ai/ai-models/meta-muse-image-edit

## Pricing

- **Charge Type:** dynamic
- **Estimate:** $0.01 per image
- **Pricing Details:** default: $0.01

## Input Schema

| Parameter | Type | Required | Default | Constraints | Description |
|-----------|------|----------|---------|-------------|-------------|
| prompt | string | Yes | - | - | Text description of the desired image edit. |
| image_urls | array | Yes | - | - | Reference image URLs to edit. Provide 1 to 10 images. |
| aspect_ratio | string | No | - | 21:9, 16:9, 4:3, 3:2, 1:1, 2:3, 3:4, 9:16, 9:21 | Output aspect ratio. Leave empty to let Muse choose dimensions automatically from the request. |
| num_images | integer | No | 1 | 1–10 | Number of edited images to generate. Range: 1-10. Default: 1. |
| output_format | string | No | webp | jpeg, png, webp | Output image format. Default: webp. |

## 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": "meta-muse-image-edit",
  "input": {
    "image_urls": [
      "https://cdn-us.eachlabs.ai/defaults/f9ec873a7aa64e97b9fc28ed83ebb58f.png",
      "https://cdn-us.eachlabs.ai/defaults/2268edc893e7484886b48901ce696e37.jpg"
    ],
    "prompt": "Transform the scene from warm golden hour into a soft blue-hour atmosphere while preserving the exact meadow, wooden chair, flowers, landscape, perspective, and camera composition. Place the woman from the uploaded reference photo naturally sitting on the existing wooden chair. Preserve her facial identity, facial features, hair, skin tone, body proportions, and overall appearance accurately. She is holding the existing open sketchbook naturally in both hands on her lap, gently looking down at its pages as if reading or sketching. Integrate her realistically into the scene with correct body posture, scale, shadows, and environmental lighting. Shift the sky toward dusty lavender, muted violet and soft blue tones, introduce gentle evening mist between the distant hills, deepen the flowers into burgundy and mauve shades, and retain a subtle warm sunset glow along the horizon. Photorealistic cinematic photography, natural skin texture, realistic fabric and hair details, subtle film color grading, peaceful editorial atmosphere. Preserve all existing environmental elements."
  }
}'
```

## 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

**Meta Muse Image Edit Overview**

Meta Muse Image Edit is an **image-to-image**agentic editing behaviorMeta image-to-image

## 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.