# Flux Multi Image Kontext

Maintain visual consistency in storytelling by preserving character faces and outfit details across multiple images using the multi-image-kontext tool.

## API Information

- **Model Slug:** multi-image-kontext
- **Branded URL:** https://www.eachlabs.ai/black-forest-labs/flux-kontext/multi-image-kontext
- **Provider:** Black Forest Labs
- **Category:** Image to Image
- **Output Type:** image
- **Status:** active
- **Version:** 0.0.1
- **Base Cost:** Fixed price per execution: $0.08
- **Estimated Processing Time:** 20 seconds
- **Last Updated:** 2026-03-26
- **Interactive Demo:** https://www.eachlabs.ai/ai-models/multi-image-kontext

## Pricing

- **Charge Type:** dynamic
- **Estimated Price (default example):** $0.0800
- **Pricing Details:** Fixed price per execution: $0.08

### Pricing Rules

| Condition | Pricing |
| --- | --- |
| Rule 1 | Fixed price per execution: $0.08 |

## Input Schema

| Parameter | Type | Required | Default | Constraints | Description |
|-----------|------|----------|---------|-------------|-------------|
| prompt | string | Yes | - | - | Text description of how to combine or transform the two input images |
| input_image_1 | string | Yes | - | - | First input image. Must be jpeg, png, gif, or webp. |
| input_image_2 | string | Yes | - | - | Second input image. Must be jpeg, png, gif, or webp. |
| input_image_3 | string | No | - | - | - |
| input_image_4 | string | No | - | - | - |
| aspect_ratio | string | No | match_input_image | match_input_image,1:1,16:9,9:16,4:3,3:4,3:2,2:3,4:5,5:4,21:9,9:21,2:1,1:2 | An enumeration. |
| seed | integer | No | - | - | Random seed. Set for reproducible generation |
| safety_tolerance | integer | No | 6 | 1–6 | - |

## Example Request

```bash
curl -X POST https://api.eachlabs.ai/v1/prediction/ \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "multi-image-kontext",
  "input": {
    "input_image_1": "https://storage.googleapis.com/magicpoint/inputs/flux-kontext-input-1.webp",
    "input_image_2": "https://storage.googleapis.com/magicpoint/inputs/flux-kontext-input-2.webp",
    "prompt": "A photo of the reimagined vase in the colorful aurora style"
  }
}'
```

## 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 "X-API-Key: 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 `X-API-Key` |
| `404` | Unknown model or prediction id |
| `429` | Rate limit — 100 creates / min, 10 concurrent per key |
| `5xx` | Retry with backoff |

## Overview

**multi-image-kontext — Image-to-Image AI Model**

multi-image-kontext, part of Black Forest Labs' flux-kontext family, revolutionizes **image-to-image AI** by enabling precise edits across multiple reference images while preserving character faces, outfits, and visual details for consistent storytelling. This multi-image-kontext tool tackles the common challenge of identity drift in iterative editing, allowing creators to maintain photorealistic consistency in complex scenes like ad campaigns or fashion series. Developed on a Diffusion Transformer architecture, it supports up to 10 input images for seamless multi-reference composition, outputting high-resolution images up to 4MP in any aspect ratio.

## Usage Notes

- API Base URL: `https://api.eachlabs.ai/v1`
- Authentication: send `X-API-Key: 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.