xiankgx/saliency-crop | Run with an API on Replicate

xiankgx / saliency-crop

Saliency cropping using TranSalNet (Updated 1 year, 6 months ago)

Cold

Public
11 runs
T4
GitHub
Paper
License

Iterate in playground

Run with an API

Playground API Examples README Versions

Input

Run this model in Node.js with one line of code:

npx create-replicate --model=xiankgx/saliency-crop

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

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 xiankgx/saliency-crop using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "xiankgx/saliency-crop:25b3daa32a914d726dd2fdc5e251349c16f991e94e4cfd3d006450ef8fe57715",
  {
    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=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run xiankgx/saliency-crop using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "xiankgx/saliency-crop:25b3daa32a914d726dd2fdc5e251349c16f991e94e4cfd3d006450ef8fe57715",
    input={}
)
print(output)

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=<paste-your-token-here>

Find your API token in your account settings.

Run xiankgx/saliency-crop 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": "xiankgx/saliency-crop:25b3daa32a914d726dd2fdc5e251349c16f991e94e4cfd3d006450ef8fe57715",
    "input": {}
  }' \
  https://api.replicate.com/v1/predictions

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

Output

No output yet! Press "Submit" to start a prediction.

Run time and cost

This model runs on Nvidia T4 GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.