Flux.1 Kontext Pro

Fast Inference

REST API

Model Information

Response Time:~0 sec

Status:Active

Version:

0.0.1

Updated:13 days ago

flux-kontext-pro

Live Demo

Average runtime: -

Input

Configure model parameters

Prompt

Text description of what you want to generate, or the instruction on how to edit the given image.

Transform to oil painting with visible brushstrokes, thick paint texture, and rich color depth

Input Image

Image to use as reference. Must be jpeg, png, gif, or webp.

File upload is currently disabled

Output

View generated results

Result

Preview, share or download your results with a single click.

Each execution costs $0.04 With $1 you can run this model about 25 times.

API Reference

View Full Documentation

Prerequisites

Create an API Key from the Eachlabs Console
Install the required dependencies for your chosen language (e.g., requests for Python)

API Integration Steps

1. Create a Prediction

Send a POST request to create a new prediction. This will return a prediction ID that you'll use to check the result. The request should include your model inputs and API key.

import requests
import time

API_KEY = "YOUR_API_KEY"  # Replace with your API key
HEADERS = {
    "X-API-Key": API_KEY,
    "Content-Type": "application/json"
}

def create_prediction():
    response = requests.post(
        "https://api.eachlabs.ai/v1/prediction/",
        headers=HEADERS,
        json={
            "model": "flux-kontext-pro",
            "version": "0.0.1",
            "input": {
  "safety_tolerance": 6,
  "seed": 0,
  "prompt": "your prompt here",
  "input_image": "your input image here",
  "aspect_ratio": "match_input_image"
},
            "webhook_url": ""
        }
    )
    prediction = response.json()
    
    if prediction["status"] != "success":
        raise Exception(f"Prediction failed: {prediction}")
    
    return prediction["predictionID"]

2. Get Prediction Result

Poll the prediction endpoint with the prediction ID until the result is ready. The API uses long-polling, so you'll need to repeatedly check until you receive a success status.

def get_prediction(prediction_id):
    while True:
        result = requests.get(
            f"https://api.eachlabs.ai/v1/prediction/{prediction_id}",
            headers=HEADERS
        ).json()
        
        if result["status"] == "success":
            return result
        elif result["status"] == "error":
            raise Exception(f"Prediction failed: {result}")
        
        time.sleep(1)  # Wait before polling again

3. Complete Example

Here's a complete example that puts it all together, including error handling and result processing. This shows how to create a prediction and wait for the result in a production environment.

try:
    # Create prediction
    prediction_id = create_prediction()
    print(f"Prediction created: {prediction_id}")
    
    # Get result
    result = get_prediction(prediction_id)
    print(f"Output URL: {result['output']}")
    print(f"Processing time: {result['metrics']['predict_time']}s")
except Exception as e:
    print(f"Error: {e}")

Additional Information

The API uses a two-step process: create prediction and poll for results
Response time: -
Rate limit: 60 requests/minute
Concurrent requests: 10 maximum
Use long-polling to check prediction status until completion

Related AI Models

You can seamlessly integrate advanced AI capabilities into your applications without the hassle of managing complex infrastructure.

Eachlabs Image Upscaler Pro v1

Eachlabs Image Upscaler Pro v1 an advanced image upscaling model that increases the resolution of low-quality images while preserving sharpness and detail. It is ideal for professional use.

Flux Redux Schnell

Flux Redux Schnell Model is a high-speed transformation model for efficient and precise image editing.

Recraft Clarity Upcale

Designed to make images sharper and cleaner, Recraft Clarity Upscale increases overall quality, making visuals suitable for web use or print-ready materials.

Action Figure Generator

Action Figure Generator turns images into new versions by selecting from ready-made templates, streamlining creative image generation.