# Flux 2 Pro | Edit

Image editing with FLUX-2-PRO. High-fidelity visual modifications, precise prompt-driven adjustments, and advanced native editing capabilities for professional-grade creative control.

## API Information

- **Model Slug:** flux-2-pro-edit
- **Branded URL:** https://www.eachlabs.ai/black-forest-labs/flux-2/flux-2-pro-edit
- **Provider:** Black Forest Labs
- **Category:** Image to Image
- **Output Type:** image
- **Status:** active
- **Base Cost:** The first megapixel of the generated image costs $0.030, and each additional megapixel costs $0.015. Each input image adds $0.015 per megapixel of output. Cost grows with the number of output images. The minimum charge is $0.060.
- **Estimated Processing Time:** 20 seconds
- **Interactive Demo:** https://www.eachlabs.ai/ai-models/flux-2-pro-edit

## Pricing

- **Charge Type:** dynamic
- **Estimated Price (default example):** $0.0600
- **Pricing Details:** The first megapixel of the generated image costs $0.030, and each additional megapixel costs $0.015. Each input image adds $0.015 per megapixel of output. Cost grows with the number of output images. The minimum charge is $0.060.

### Pricing Rules

| Condition | Pricing |
| --- | --- |
| output.output_mp == "1" AND output.num_input_images == "1" | The first megapixel of the generated image costs $0.030, and each additional megapixel costs $0.015. Each input image adds $0.015 per megapixel of output. Cost grows with the number of output images. The minimum charge is $0.060. |
| Rule 2 | The first megapixel of the generated image costs $0.030, and each additional megapixel costs $0.015. Each input image adds $0.015 per megapixel of output. Cost grows with the number of output images. The minimum charge is $0.060. |

## Input Schema

| Parameter | Type | Required | Default | Constraints | Description |
|-----------|------|----------|---------|-------------|-------------|
| prompt | string | Yes | - | - | Text description of the desired image edit. |
| image_urls | array | Yes | - | - | URLs of the source images to edit (1–4 images). |
| image_size | string | No | auto | auto, square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9 | Output image size preset. Use auto to match input dimensions. Default: auto. |
| seed | integer | No | - | 1–0 | Random seed for reproducible results. Leave empty for random output. |
| safety_tolerance | string | No | 2 | 1, 2, 3, 4, 5 | Safety filter tolerance level. 1 is strictest, 5 is most permissive. Default: 2. |
| enable_safety_checker | boolean | No | true | - | Run safety checker on output. Default: true. |
| output_format | string | No | jpeg | jpeg, png | Output image format. Default: jpeg. |
| num_images | integer | No | 1 | 1–4 | Number of images to generate. Range: 1-4. Default: 1. |
| acceleration | string | No | none | none, regular, high | Inference acceleration mode. Higher acceleration is faster but may reduce quality. Default: none. |
| guidance_scale | number | No | 2.5 | 0–20 | Classifier-free guidance scale. Higher values follow the prompt more closely. Range: 0-20. Default: 2.5. |
| num_inference_steps | integer | No | 28 | 1–50 | Number of denoising steps. More steps can improve quality but take longer. Range: 1-50. Default: 28. |
| negative_prompt | string | No | - | - | Text describing elements to avoid in the generated 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": "flux-2-pro-edit",
  "input": {
    "image_urls": [
      "https://cdn-us.eachlabs.ai/defaults/8cffc8ba9fdd5c30cc33c507cfe7d5b6553df6b6922d18c88d3d7834510d4e72.png"
    ],
    "prompt": "Change it to a watercolor painting."
  }
}'
```

## 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

**flux-2-pro-edit — Image Editing AI Model**

flux-2-pro-edit from Black Forest Labs revolutionizes **image-to-image AI model** workflows by enabling high-fidelity visual modifications with precise prompt-driven adjustments, solving the challenge of maintaining detail and coherence in professional edits. Part of the advanced flux-2 family, this pro-level model supports **image editing with AI** up to 4 megapixels, preserving geometry, textures, and spatial relationships without hallucination. Developers and creators access flux-2-pro-edit via Eachlabs for **Black Forest Labs image-to-image** capabilities that deliver production-grade results ideal for e-commerce and marketing visuals.

## 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.