cloneofsimo/lora-training:3be32ece – Run with an API on Replicate

Version

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cloneofsimo /lora-training:3be32ece

Playground API

Input

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

npx create-replicate --model=cloneofsimo/lora-training

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

const output = await replicate.run(
  "cloneofsimo/lora-training:3be32ece3b21ea39d1b503cd95dffc9a4229045357f6e98be07ecf2dccf9ba13",
  {
    input: {
      task: "face",
      resolution: 512
    }
  }
);

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

output = replicate.run(
    "cloneofsimo/lora-training:3be32ece3b21ea39d1b503cd95dffc9a4229045357f6e98be07ecf2dccf9ba13",
    input={
        "task": "face",
        "resolution": 512
    }
)
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 cloneofsimo/lora-training 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": "cloneofsimo/lora-training:3be32ece3b21ea39d1b503cd95dffc9a4229045357f6e98be07ecf2dccf9ba13",
    "input": {
      "task": "face",
      "resolution": 512
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

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