Prediction

nadaafarook/lora:8255484497f219017396518e99fe3b7dce29a0c3159ea16843bd0411d2da5e92

Model

nadaafarook/lora:82554844

qtem7slbmz4vpstrhl4crlvtei

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2.5s

Created

about 2 years ago by @nadaafarook

Input

image
scale: 1.2

{
  "image": "https://replicate.delivery/pbxt/JLg22VCYECVW3zLzyEFWhL1S7kunbscmKaudFguuErCcaR1l/4.png",
  "scale": 1.2
}

Install Replicate’s Node.js client library:

npm install replicate

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

const output = await replicate.run(
  "nadaafarook/lora:8255484497f219017396518e99fe3b7dce29a0c3159ea16843bd0411d2da5e92",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JLg22VCYECVW3zLzyEFWhL1S7kunbscmKaudFguuErCcaR1l/4.png",
      scale: 1.2
    }
  }
);

// 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

Import the client:

import replicate

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

output = replicate.run(
    "nadaafarook/lora:8255484497f219017396518e99fe3b7dce29a0c3159ea16843bd0411d2da5e92",
    input={
        "image": "https://replicate.delivery/pbxt/JLg22VCYECVW3zLzyEFWhL1S7kunbscmKaudFguuErCcaR1l/4.png",
        "scale": 1.2
    }
)

# 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.

Run nadaafarook/lora 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": "nadaafarook/lora:8255484497f219017396518e99fe3b7dce29a0c3159ea16843bd0411d2da5e92",
    "input": {
      "image": "https://replicate.delivery/pbxt/JLg22VCYECVW3zLzyEFWhL1S7kunbscmKaudFguuErCcaR1l/4.png",
      "scale": 1.2
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

No output.

Generated in

0.5 seconds

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