lightweight-ai/multi_test_models:0130ea04 – Run with an API on Replicate

Version

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lightweight-ai /multi_test_models:0130ea04

Playground API

Input

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

npx create-replicate --model=lightweight-ai/multi_test_models

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";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run lightweight-ai/multi_test_models using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lightweight-ai/multi_test_models:0130ea0462abc1fb62f42b3c06ee4e145c0adefe3c6563ea35ee3db0782b4446",
  {
    input: {
      output_dir: "./results",
      coords_type: "key_in",
      dilate_kernel_size: 50
    }
  }
);

console.log(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 lightweight-ai/multi_test_models using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lightweight-ai/multi_test_models:0130ea0462abc1fb62f42b3c06ee4e145c0adefe3c6563ea35ee3db0782b4446",
    input={
        "output_dir": "./results",
        "coords_type": "key_in",
        "dilate_kernel_size": 50
    }
)
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 lightweight-ai/multi_test_models 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": "0130ea0462abc1fb62f42b3c06ee4e145c0adefe3c6563ea35ee3db0782b4446",
    "input": {
      "output_dir": "./results",
      "coords_type": "key_in",
      "dilate_kernel_size": 50
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

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