Style Changer by ByteDance

Partner Model

Fast Inference

REST API

Model Information

Response Time:~5 sec

Status:Active

Version:

0.0.1

Updated:3 months ago

bytedance

Live Demo

Average runtime: ~5 seconds

Input

Configure model parameters

Style

Image Url

https://storage.googleapis.com/magicpoint/models/man.png

Output

View generated results

Result

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

Each execution costs $0.001 With $1 you can run this model about 1000 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": "bytedance",
            "version": "0.0.1",
            "input": {
  "style": "anime_style",
  "image_url": "your image url here"
},
            "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: ~5 seconds
Rate limit: 60 requests/minute
Concurrent requests: 10 maximum
Use long-polling to check prediction status until completion

Overview

Style Changer by ByteDance image to image model is designed to transform an input image into a new version that follows a selected artistic or stylistic theme. By leveraging advanced image processing techniques, the model can generate a variety of styles, from realistic representations to highly stylized artistic interpretations. Users can provide an input image and choose from a diverse set of predefined styles to obtain a transformed output.

Technical Specifications

The Style Changer by ByteDance supports a wide range of predefined artistic styles.
It utilizes an advanced image transformation algorithm to apply the selected style.
The transformation process maintains the structure of the original image while modifying textures and colors.
Outputs are generated with high fidelity and respect the chosen style parameters.
Processing times may vary based on image complexity and selected style.

Key Considerations

Some styles may introduce distortions that significantly alter facial features or object proportions.
Certain styles are more detailed and may take longer to process.
High-contrast images may result in exaggerated transformations depending on the selected style.
Some styles are more suitable for specific subjects (e.g., human portraits, landscapes, or objects).
If an image does not return the expected results, trying a different style may yield better outcomes.

Tips & Tricks

Style Selection:
- 3D Gaming, Animated Movie: Best suited for characters and fantasy-based transformations.
- Realistic Style: Maintains a lifelike appearance with slight enhancements.
- Angel, Princess Style, Dreamy: Ideal for soft, ethereal aesthetics.
- Anime Style, Japanese Comics, Exquisite Comic: Perfect for anime/manga-inspired results.
- Cyber Machinery, Chinese Style: Suitable for futuristic or traditional cultural themes.
- Ink Style, Monet’s Garden, New Monet Garden: Great for artistic and painterly transformations.
- Ugly Clay, Cute Doll, Doll: Generates exaggerated, playful, or toy-like effects.
Image Selection:
- Use well-lit and high-contrast images for better results.
- Avoid backgrounds that are too busy or cluttered if the focus is on a single subject.
- If applying a portrait transformation, ensure the face is clear and well-defined.

Capabilities

Style Changer by ByteDance generates high-quality stylized versions of input images.
Supports a wide range of artistic transformations.
Retains the original composition while altering the aesthetic style.
Provides quick and automated style transfer.
Suitable for creative projects, artistic experimentation, and digital content creation.

What can I use for?

Creating unique profile pictures with artistic styles.
Enhancing character designs with specific aesthetics.
Generating promotional visuals with customized themes.
Producing stylized art pieces for social media or digital portfolios.
Experimenting with different art styles for creative inspiration.

Things to be aware of

Test various styles to see which one complements the subject best.
Apply transformations to landscape photos for unique artistic effects.
Use portrait images with different styles to compare the variations in facial detail.
Style Changer by ByteDance combines generated images with additional editing for customized results.
Explore blending similar styles for a hybrid effect.

Limitations

The Style Changer by ByteDance may not always preserve fine details in the original image.
Some styles may introduce artifacts or unintended distortions.
Complex backgrounds may affect the quality of the stylization.
Not all styles work well with all types of images.
Style application may result in loss of certain textures or details from the original image.

Output Format:JPG

Related AI Models

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

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.

Flux.1 Kontext Pro

A state-of-the-art text-based image editing model that delivers high-quality outputs with excellent prompt following and consistent results for transforming images through natural language

Gemini 2.0 Flash Image Generation

Gemini 2.0 Flash Image Generation produces rapid and accurate image transformations, balancing speed with image quality.

Kling AI Image to Image

Kling AI Image to Image enhances an input image based on a text prompt, generating visually coherent and accurate images that match the specified adjustments.