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const axios = require('axios');
const fs = require('fs');
const path = require('path');
async function toB64(imgPath) {
const data = fs.readFileSync(path.resolve(imgPath));
return Buffer.from(data).toString('base64');
}
const api_key = "YOUR API-KEY";
const url = "https://api.segmind.com/v1/faceswap-v3";
const data = {
"source_img": "toB64('https://segmind-sd-models.s3.amazonaws.com/display_images/faceswapv2_target.jpg')",
"target_img": "toB64('https://segmind-sd-models.s3.us-east-1.amazonaws.com/elon.jpg')",
"input_faces_index": 0,
"source_faces_index": 0,
"face_restore": "codeformer-v0.1.0.pth",
"interpolation": "Bilinear",
"detection_face_order": "large-small",
"facedetection": "retinaface_resnet50",
"detect_gender_input": "no",
"detect_gender_source": "no",
"face_restore_weight": 0.75,
"image_format": "jpeg",
"image_quality": 95,
"base64": false
};
(async function() {
try {
const response = await axios.post(url, data, { headers: { 'x-api-key': api_key } });
console.log(response.data);
} catch (error) {
console.error('Error:', error.response.data);
}
})();Attributes
Your face goes here. A closeup shot would be ideal.(image url)
The face you want to swap with (image url).
Index of the input faces: By default the model detects faces in images from 'large' to 'small'.Index of the first detected face is 0. Multiple faces can be selected using a comma (,)
min : 0,
max : 5
Index of the source faces: By default the model detects faces in images from 'large' to 'small'.Index of the first detected face is 0. Multiple faces can be selected using a comma (,)
min : 0,
max : 5
which face restore model to use
Allowed values:
Face restore interpolation method
Allowed values:
The order in which faces are detected.
Allowed values:
The model used to detect the face
Allowed values:
Detect the gender of the target face
Allowed values:
Detect the gender of the input face
Allowed values:
Face Restore Weight
min : 0,
max : 1
Output image format
Allowed values:
Image quality setting for output
min : 10,
max : 100
Base64 encoding of the output image.
To keep track of your credit usage, you can inspect the response headers of each API call. The x-remaining-credits property will indicate the number of remaining credits in your account. Ensure you monitor this value to avoid any disruptions in your API usage.
Face Swap V3
FaceSwap V3 model is our latest additon offering seamless face-swapping capabilities, enriched with customizable features to achieve flawless image transformations. Key enhancements over Face Sawp V2 include resolved pixelation issues with face booster models, new face detection order customization, powerful face detection models, and optional gender detection for accurate representation. Whether you're working on a creative project, media production, or social media content, FaceSwap V3 is your ultimate tool for high-quality face swapping.
Key Features of Face Swap V3
-
Input and Source Faces Index: Specify the index of faces you wish to swap. This feature supports multiple face selection, enabling complex edits and creative modifications.
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Advanced Face Restore Models: Select from cutting-edge model versions like codeformer-v0.1.0.pth to enhance image clarity and realism, ensuring a professional finish.
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Interpolation Techniques: Choose between Bilinear and Nearest interpolation methods for improved face blending, resulting in smoother transitions and natural-looking output.
-
Face Detection Ordering: Customize the detection order from large to small faces, allowing you to prioritize key facial features and achieve more effective results.
-
High-Precision Face Detection Models: Utilize powerful models, such as retinaface_resnet50, for accurate face localization, ensuring every detail is captured and swapped perfectly.
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Gender Detection: Toggle gender detection settings for both input and target faces. This feature helps tailor the swap, ensuring gender-specific attributes are accurately represented.
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Adjustable Face Restore Weight: Fine-tune the restoration intensity on a scale of 0 to 1, with a default setting of 0.75. This allows for control over how much restoration is applied to the final image.
Use cases
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Creative and Design Projects: Perfect for artists looking to innovate with digital imagery and photo manipulation.
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Entertainment and Media Production: Suitable for movies, video games, and other interactive media requiring realistic face transformations.
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Social Media and Content Creation: Empower influencers and creators to produce engaging content with unique and personalized face swaps.
Popular Models
