Prediction

Official model

topazlabs/image-upscale

sxqdnd1d7xrma0cpdes9ef9fc8

Status

Succeeded

Source

Web

Total duration

1m 35s

Created

8 months ago

Webhook

–

Input

image: https://replicate.delivery/pbxt/Mtfss8QN14MF5lEERiMeVlxcneNfm8GEGd5A0IKbc2Ks4oi2/topaz.png
enhance_model: CGI
upscale_factor: 2x
output_format: jpg
subject_detection: None
face_enhancement: false
face_enhancement_creativity: 0
face_enhancement_strength: 0.8

{
  "enhance_model": "CGI",
  "face_enhancement": false,
  "face_enhancement_creativity": 0,
  "face_enhancement_strength": 0.8,
  "image": "https://replicate.delivery/pbxt/Mtfss8QN14MF5lEERiMeVlxcneNfm8GEGd5A0IKbc2Ks4oi2/topaz.png",
  "output_format": "jpg",
  "subject_detection": "None",
  "upscale_factor": "2x"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_8Go**********************************

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 topazlabs/image-upscale using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const input = {
  enhance_model: "CGI",
  face_enhancement: false,
  face_enhancement_creativity: 0,
  face_enhancement_strength: 0.8,
  image: "https://replicate.delivery/pbxt/Mtfss8QN14MF5lEERiMeVlxcneNfm8GEGd5A0IKbc2Ks4oi2/topaz.png",
  output_format: "jpg",
  subject_detection: "None",
  upscale_factor: "2x"
};

const output = await replicate.run("topazlabs/image-upscale", { input });

// 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_8Go**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run topazlabs/image-upscale using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "topazlabs/image-upscale",
    input={
        "enhance_model": "CGI",
        "face_enhancement": False,
        "face_enhancement_creativity": 0,
        "face_enhancement_strength": 0.8,
        "image": "https://replicate.delivery/pbxt/Mtfss8QN14MF5lEERiMeVlxcneNfm8GEGd5A0IKbc2Ks4oi2/topaz.png",
        "output_format": "jpg",
        "subject_detection": "None",
        "upscale_factor": "2x"
    }
)

# 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_8Go**********************************

This is your API token. Keep it to yourself.

Run topazlabs/image-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 $'{
    "input": {
      "enhance_model": "CGI",
      "face_enhancement": false,
      "face_enhancement_creativity": 0,
      "face_enhancement_strength": 0.8,
      "image": "https://replicate.delivery/pbxt/Mtfss8QN14MF5lEERiMeVlxcneNfm8GEGd5A0IKbc2Ks4oi2/topaz.png",
      "output_format": "jpg",
      "subject_detection": "None",
      "upscale_factor": "2x"
    }
  }' \
  https://api.replicate.com/v1/models/topazlabs/image-upscale/predictions

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

Output

Generated in

1 minute 35 seconds

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