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xinntao /realesrgan:457f5435
Input
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
environment variableexport 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 xinntao/realesrgan using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"xinntao/realesrgan:457f5435101937411c960ddc8e2c612e2b0eba59f435ef77d5f27e12dba55902",
{
input: {
tile: 0,
scale: 2,
version: "General - v3",
face_enhance: false
}
}
);
console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
REPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run xinntao/realesrgan using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"xinntao/realesrgan:457f5435101937411c960ddc8e2c612e2b0eba59f435ef77d5f27e12dba55902",
input={
"tile": 0,
"scale": 2,
"version": "General - v3",
"face_enhance": False
}
)
print(output)
To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run xinntao/realesrgan 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": "457f5435101937411c960ddc8e2c612e2b0eba59f435ef77d5f27e12dba55902",
"input": {
"tile": 0,
"scale": 2,
"version": "General - v3",
"face_enhance": false
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
brew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run xinntao/realesrgan using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/xinntao/realesrgan@sha256:457f5435101937411c960ddc8e2c612e2b0eba59f435ef77d5f27e12dba55902 \
-i 'tile=0' \
-i 'scale=2' \
-i 'version="General - v3"' \
-i 'face_enhance=false'
To learn more, take a look at the Cog documentation.
Pull and run xinntao/realesrgan using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/xinntao/realesrgan@sha256:457f5435101937411c960ddc8e2c612e2b0eba59f435ef77d5f27e12dba55902
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "tile": 0, "scale": 2, "version": "General - v3", "face_enhance": false } }' \ http://localhost:5000/predictions
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Output
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