synthesys-ai/synthesys-facefusion | Run with an API on Replicate

synthesys-ai / synthesys-facefusion

Warm

Public
133 runs
L40S

Iterate in playground

Run with an API

Playground API Examples README Versions

Input

source_paths

*file

source image that contains faces to use

target_path

*file

target video/image file to use

face_analyser_order

string

Shift + Return to add a new line

Default: "left-right"

face_analyser_age

string

Shift + Return to add a new line

face_analyser_gender

string

Shift + Return to add a new line

face_detector_model

string

Shift + Return to add a new line

Default: "retinaface"

face_detector_size

string

Shift + Return to add a new line

Default: "640x640"

face_detector_score

number

Default: 0.5

face_selector_mode

string

Shift + Return to add a new line

Default: "reference"

face_mask_types

string

Shift + Return to add a new line

Default: "box"

frame_processors

string

Shift + Return to add a new line

Default: "face_swapper"

face_swapper_model

string

Shift + Return to add a new line

Default: "inswapper_128"

face_enhancer_model

string

Shift + Return to add a new line

Default: "gfpgan_1.4"

frame_enhancer_model

string

Shift + Return to add a new line

Default: "real_esrgan_x2plus"

Run this model in Node.js with one line of code:

npx create-replicate --model=synthesys-ai/synthesys-facefusion

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run synthesys-ai/synthesys-facefusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "synthesys-ai/synthesys-facefusion:fc718474bbca6968b1f5864266e436877ef3c79dd4df39c51d05b24b2860c171",
  {
    input: {
      face_mask_types: "box",
      frame_processors: "face_swapper",
      face_detector_size: "640x640",
      face_selector_mode: "reference",
      face_swapper_model: "inswapper_128",
      face_analyser_order: "left-right",
      face_detector_model: "retinaface",
      face_detector_score: 0.5,
      face_enhancer_model: "gfpgan_1.4",
      frame_enhancer_model: "real_esrgan_x2plus"
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run synthesys-ai/synthesys-facefusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "synthesys-ai/synthesys-facefusion:fc718474bbca6968b1f5864266e436877ef3c79dd4df39c51d05b24b2860c171",
    input={
        "face_mask_types": "box",
        "frame_processors": "face_swapper",
        "face_detector_size": "640x640",
        "face_selector_mode": "reference",
        "face_swapper_model": "inswapper_128",
        "face_analyser_order": "left-right",
        "face_detector_model": "retinaface",
        "face_detector_score": 0.5,
        "face_enhancer_model": "gfpgan_1.4",
        "frame_enhancer_model": "real_esrgan_x2plus"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run synthesys-ai/synthesys-facefusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "synthesys-ai/synthesys-facefusion:fc718474bbca6968b1f5864266e436877ef3c79dd4df39c51d05b24b2860c171",
    "input": {
      "face_mask_types": "box",
      "frame_processors": "face_swapper",
      "face_detector_size": "640x640",
      "face_selector_mode": "reference",
      "face_swapper_model": "inswapper_128",
      "face_analyser_order": "left-right",
      "face_detector_model": "retinaface",
      "face_detector_score": 0.5,
      "face_enhancer_model": "gfpgan_1.4",
      "frame_enhancer_model": "real_esrgan_x2plus"
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

No output yet! Press "Submit" to start a prediction.

Run time and cost

This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.