ocg2347 / plksr-tiled-lowvram

{
  "image": "https://replicate.delivery/pbxt/MS5ByHEEA9rxVeDv8sPaiPhfsBnyegXry5xl6podPKW26M6Y/lion1.png",
  "batch_size": 24,
  "image_type": "general",
  "tile_width": 512,
  "tile_height": 512,
  "scale_factor": 4,
  "tile_overlap": 64
}

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 ocg2347/plksr-tiled-lowvram using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "ocg2347/plksr-tiled-lowvram:dc9e1f8ab81a2f8d11840e5f8f971ab587818a1b2bade75b83d72e41d5c1cd9a",
  {
    input: {
      image: "https://replicate.delivery/pbxt/MS5ByHEEA9rxVeDv8sPaiPhfsBnyegXry5xl6podPKW26M6Y/lion1.png",
      batch_size: 24,
      image_type: "general",
      tile_width: 512,
      tile_height: 512,
      scale_factor: 4,
      tile_overlap: 64
    }
  }
);

// 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 ocg2347/plksr-tiled-lowvram using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "ocg2347/plksr-tiled-lowvram:dc9e1f8ab81a2f8d11840e5f8f971ab587818a1b2bade75b83d72e41d5c1cd9a",
    input={
        "image": "https://replicate.delivery/pbxt/MS5ByHEEA9rxVeDv8sPaiPhfsBnyegXry5xl6podPKW26M6Y/lion1.png",
        "batch_size": 24,
        "image_type": "general",
        "tile_width": 512,
        "tile_height": 512,
        "scale_factor": 4,
        "tile_overlap": 64
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run ocg2347/plksr-tiled-lowvram 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": "ocg2347/plksr-tiled-lowvram:dc9e1f8ab81a2f8d11840e5f8f971ab587818a1b2bade75b83d72e41d5c1cd9a",
    "input": {
      "image": "https://replicate.delivery/pbxt/MS5ByHEEA9rxVeDv8sPaiPhfsBnyegXry5xl6podPKW26M6Y/lion1.png",
      "batch_size": 24,
      "image_type": "general",
      "tile_width": 512,
      "tile_height": 512,
      "scale_factor": 4,
      "tile_overlap": 64
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

46.4 seconds

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