# Flux Kontext Dev

> Open-weight 12B parameter multimodal flow transformer enabling precise, iterative image editing with superior character retention, local edits, style transfer, and fast real-time performance.

## Overview

- **Model ID**: `flux-kontext-dev`
- **Category**: flux
- **Provider**: modelslab
- **Status**: model_ready
- **Screenshot**: `https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/livewire-tmp/A3tMpcH1U9p0TcYJDcFJIoFw5hOReQ-metaZmx1eCBrb3RleHIgZGV2LndlYnA=-.webp`

## API Information

This model can be used via our HTTP API. See the API documentation and usage examples below.

### Endpoint

- **URL**: `https://modelslab.com/api/v6/images/img2img`
- **Method**: POST

### Parameters

- **`init_image`** (required): Please upload the reference image you want to edit.
  - Type: file (image/jpeg,image/png)
  - Example: Upload reference Image

- **`init_image_2`** (required): Second image is optional. only upload second image when you want to merge 2 image.
  - Type: file (image/jpeg,image/png)
  - Example: Upload second reference Image (Optional)

- **`prompt`** (required): Enter the prompt for what change you wanted to make in the given image 
  - Type: textarea
  - Example: Enter the prompt

- **`num_inference_steps`** (optional): Steps control how many times the model refines the image. More steps = better quality, Fewer steps = faster results but less detail.
  - Type: number (range: 20-30)

- **`guidance`** (optional): Guidance (CFG Scale) helps control how closely the image matches your text prompt. Higher values = more accurate to the prompt, 2.5 works best
  - Type: text

## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://modelslab.com/api/v6/images/img2img \
  --header "Content-Type: application/json" \
  --data '{
    "key": "YOUR_API_KEY",
    "model_id": "flux-kontext-dev",
    "init_image": "https://assets.modelslab.com/generations/f0009374-6da5-4612-81f1-4b599090a782",
    "init_image_2": "https://assets.modelslab.com/generations/b8bb2cd3-549a-46bb-863d-434f4310b2af",
    "prompt": "a girl from image one holding the can from image two",
    "num_inference_steps": "28",
    "guidance": "2.5"
  }'
```

### Python

```python
import requests

response = requests.post(
    "https://modelslab.com/api/v6/images/img2img",
    headers={
        "Content-Type": "application/json"
    },
    json={
        "key": "YOUR_API_KEY",
        "model_id": "flux-kontext-dev",
        "init_image": "https://assets.modelslab.com/generations/f0009374-6da5-4612-81f1-4b599090a782",
        "init_image_2": "https://assets.modelslab.com/generations/b8bb2cd3-549a-46bb-863d-434f4310b2af",
        "prompt": "a girl from image one holding the can from image two",
        "num_inference_steps": "28",
        "guidance": "2.5"
    }
)

print(response.json())
```

### JavaScript

```javascript
fetch("https://modelslab.com/api/v6/images/img2img", {
  method: "POST",
  headers: {
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "key": "YOUR_API_KEY",
    "model_id": "flux-kontext-dev",
    "init_image": "https://assets.modelslab.com/generations/f0009374-6da5-4612-81f1-4b599090a782",
    "init_image_2": "https://assets.modelslab.com/generations/b8bb2cd3-549a-46bb-863d-434f4310b2af",
    "prompt": "a girl from image one holding the can from image two",
    "num_inference_steps": "28",
    "guidance": "2.5"
  })
})
.then(response => response.json())
.then(data => console.log(data));
```

## Links

- [Model Playground](https://modelslab.com/models/flux-kontext-dev/flux-kontext-dev)
- [API Documentation](https://docs.modelslab.com)
- [ModelsLab Platform](https://modelslab.com)