Prediction

Model

replicatemodel/swinir_t4:3ca651c5

xbg5ogjbq6dlornfhi57yybn2e

Status

Succeeded

Source

Web

Hardware

Total duration

Created

almost 2 years ago

Webhook

–

Input

image: https://replicate.delivery/pbxt/KBiA0eZ0VxcpajZa3dhqcbB9Kgr7ZzgEeZPCXt9uuogmW72P/chip.png
task_type: Real-World Image Super-Resolution-Large
noise: 15
jpeg: 40

{
  "image": "https://replicate.delivery/pbxt/KBiA0eZ0VxcpajZa3dhqcbB9Kgr7ZzgEeZPCXt9uuogmW72P/chip.png",
  "jpeg": 40,
  "noise": 15,
  "task_type": "Real-World Image Super-Resolution-Large"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_Bqq**********************************

This is your API token. Keep it to yourself.

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 replicatemodel/swinir_t4 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "replicatemodel/swinir_t4:3ca651c518dee29c6c2a5a741c786de942d8e1007f79f4c47b4ae632a49950b3",
  {
    input: {
      image: "https://replicate.delivery/pbxt/KBiA0eZ0VxcpajZa3dhqcbB9Kgr7ZzgEeZPCXt9uuogmW72P/chip.png",
      jpeg: 40,
      noise: 15,
      task_type: "Real-World Image Super-Resolution-Large"
    }
  }
);

// 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=r8_Bqq**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run replicatemodel/swinir_t4 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "replicatemodel/swinir_t4:3ca651c518dee29c6c2a5a741c786de942d8e1007f79f4c47b4ae632a49950b3",
    input={
        "image": "https://replicate.delivery/pbxt/KBiA0eZ0VxcpajZa3dhqcbB9Kgr7ZzgEeZPCXt9uuogmW72P/chip.png",
        "jpeg": 40,
        "noise": 15,
        "task_type": "Real-World Image Super-Resolution-Large"
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

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=r8_Bqq**********************************

This is your API token. Keep it to yourself.

Run replicatemodel/swinir_t4 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": "replicatemodel/swinir_t4:3ca651c518dee29c6c2a5a741c786de942d8e1007f79f4c47b4ae632a49950b3",
    "input": {
      "image": "https://replicate.delivery/pbxt/KBiA0eZ0VxcpajZa3dhqcbB9Kgr7ZzgEeZPCXt9uuogmW72P/chip.png",
      "jpeg": 40,
      "noise": 15,
      "task_type": "Real-World Image Super-Resolution-Large"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

8.7 seconds

Tweak it Report