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face-swap-new

Face Swap

Face Swap model seamlessly exchanges faces in photos or videos, delivering realistic and high-quality results.

Avg Run Time: 38.000s

Model Slug: face-swap-new

Category: Image to Image

Input

Enter an URL or choose a file from your computer.

Enter an URL or choose a file from your computer.

Output

Example Result

Preview and download your result.

Preview
The total cost depends on how long the model runs. It costs $0.001540 per second. Based on an average runtime of 38 seconds, each run costs about $0.0585. With a $1 budget, you can run the model around 17 times.

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.

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.

Table of Contents
Overview
Technical Specifications
Key Considerations
Tips & Tricks
Capabilities
What Can I Use It For?
Things to Be Aware Of
Limitations

Overview

AI Face Swap tools are advanced applications that utilize artificial intelligence to seamlessly exchange faces between images. These tools analyze facial features and expressions to produce realistic and convincing face swaps, finding applications in entertainment, digital art, and content creation.

Technical Specifications

Model Architecture

  • Features robust algorithms for handling diverse facial structures and expressions.

Resolution Support:

  • Supports high-resolution images up to 2048x2048 pixels for detailed outputs.

Compatibility:

  • Works with common image formats such as JPG and PNG.

Key Considerations

Ensure the input images are of high resolution and well-lit for better results.

Validate the format  input images before running the model.

Check that the faces in the input images are clearly visible and unobstructed.

Perform basic preprocessing, such as cropping or resizing images if necessary.

Tips & Tricks

Use images with similar lighting conditions for a more natural swap.

Test with different face angles to achieve the desired outcome.

Capabilities

Advanced face detection and alignment for realistic swaps.

Handles various face angles, lighting conditions, and skin tones.

Preserves image quality during the face-swapping process.

Optimized for single-face manipulations in high-resolution images.

What Can I Use It For?

Entertainment: Create humorous or creative content by swapping faces in photos.


Digital Art: Incorporate face swapping into artistic projects to explore new creative possibilities.


Content Creation: Enhance marketing materials or social media posts with engaging face-swapped images


Creating fun and realistic face swaps for personal or professional projects.


Generating personalized content for social media or marketing.


Experimenting with creative applications in design and photography.

Things to Be Aware Of

Historical Reimaginings: Swap modern faces onto historical portraits for educational or entertainment purposes.


Character Mashups: Combine faces of different fictional characters to create unique hybrids.


Personalized Greetings: Create customized greeting cards featuring face swaps of friends or family members.

Limitations

Maximum file size for each image is limited to 10 MB.

The quality of the output depends on the clarity and lighting of the input images.

The model is optimized for single-face swapping and may not work accurately on images with multiple faces.
Output Format: JPG

Pricing Detail

This model runs at a cost of $0.001540 per second.

The average execution time is 38 seconds, but this may vary depending on your input data.

The average cost per run is $0.058520

Pricing Type: Execution Time

Cost Per Second means the total cost is calculated based on how long the model runs. Instead of paying a fixed fee per run, you are charged for every second the model is actively processing. This pricing method provides flexibility, especially for models with variable execution times, because you only pay for the actual time used.