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qwaezrx /ipadapter-faceid-faceswap-upscale:5ce588c1
Input
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run qwaezrx/ipadapter-faceid-faceswap-upscale using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"qwaezrx/ipadapter-faceid-faceswap-upscale:5ce588c1966bfac3c2f9cd2d25fe573dbed41b284cf0fdab891c699a966eea37",
{
input: {
cfg: 8,
vae: "vae-ft-mse-840000-ema-pruned.safetensors",
width: 512,
height: 768,
repeat: 1,
sampler: "euler",
scheduler: "normal",
batch_size: 1,
checkpoint: "beautifulRealistic_v7.safetensors",
negative_prompt: "blurry, distorted, low quality, bad hands",
positive_prompt: "photo of a man, fashion model, simple clothes\n\nhigh quality, highly detailed, 4k, highres",
num_inference_steps: 30
}
}
);
// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"
// To write the file to disk:
fs.writeFile("my-image.png", output[0]);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run qwaezrx/ipadapter-faceid-faceswap-upscale using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"qwaezrx/ipadapter-faceid-faceswap-upscale:5ce588c1966bfac3c2f9cd2d25fe573dbed41b284cf0fdab891c699a966eea37",
input={
"cfg": 8,
"vae": "vae-ft-mse-840000-ema-pruned.safetensors",
"width": 512,
"height": 768,
"repeat": 1,
"sampler": "euler",
"scheduler": "normal",
"batch_size": 1,
"checkpoint": "beautifulRealistic_v7.safetensors",
"negative_prompt": "blurry, distorted, low quality, bad hands",
"positive_prompt": "photo of a man, fashion model, simple clothes\n\nhigh quality, highly detailed, 4k, highres",
"num_inference_steps": 30
}
)
print(output)
To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run qwaezrx/ipadapter-faceid-faceswap-upscale 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": "qwaezrx/ipadapter-faceid-faceswap-upscale:5ce588c1966bfac3c2f9cd2d25fe573dbed41b284cf0fdab891c699a966eea37",
"input": {
"cfg": 8,
"vae": "vae-ft-mse-840000-ema-pruned.safetensors",
"width": 512,
"height": 768,
"repeat": 1,
"sampler": "euler",
"scheduler": "normal",
"batch_size": 1,
"checkpoint": "beautifulRealistic_v7.safetensors",
"negative_prompt": "blurry, distorted, low quality, bad hands",
"positive_prompt": "photo of a man, fashion model, simple clothes\\n\\nhigh quality, highly detailed, 4k, highres",
"num_inference_steps": 30
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
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Output
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