bryantanjw/lora-test:3333c91f | Run with an API on Replicate

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bryantanjw /lora-test:3333c91f

Playground API

Input

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

npx create-replicate --model=bryantanjw/lora-test

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

const output = await replicate.run(
  "bryantanjw/lora-test:3333c91fd9beeecb5c2c0be099823f8970b25ab81bc2cdc61e7184f70bcb9173",
  {
    input: {
      lora: "Ahri KDA All.safetensors",
      steps: 30,
      input_prompt: "beautiful scenery nature glass bottle landscape, purple galaxy bottle",
      negative_prompt: "text, watermark, ugly, blurry"
    }
  }
);

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

output = replicate.run(
    "bryantanjw/lora-test:3333c91fd9beeecb5c2c0be099823f8970b25ab81bc2cdc61e7184f70bcb9173",
    input={
        "lora": "Ahri KDA All.safetensors",
        "steps": 30,
        "input_prompt": "beautiful scenery nature glass bottle landscape, purple galaxy bottle",
        "negative_prompt": "text, watermark, ugly, blurry"
    }
)
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 bryantanjw/lora-test 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": "bryantanjw/lora-test:3333c91fd9beeecb5c2c0be099823f8970b25ab81bc2cdc61e7184f70bcb9173",
    "input": {
      "lora": "Ahri KDA All.safetensors",
      "steps": 30,
      "input_prompt": "beautiful scenery nature glass bottle landscape, purple galaxy bottle",
      "negative_prompt": "text, watermark, ugly, blurry"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

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