tuannha/ic-lora-custom-size | Run with an API on Replicate

Input

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

npx create-replicate --model=tuannha/ic-lora-custom-size

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 tuannha/ic-lora-custom-size using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "tuannha/ic-lora-custom-size:31ccd8c6eff9676735166b148ed6365f8f4809523ffafcd23611787c87a4c6f3",
  {
    input: {
      aspect_ratio: "1:1",
      logo_description: "A logo",
      destination_prompt: "a coffee cup on a wooden table"
    }
  }
);

// 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 tuannha/ic-lora-custom-size using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "tuannha/ic-lora-custom-size:31ccd8c6eff9676735166b148ed6365f8f4809523ffafcd23611787c87a4c6f3",
    input={
        "aspect_ratio": "1:1",
        "logo_description": "A logo",
        "destination_prompt": "a coffee cup on a wooden table"
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

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 tuannha/ic-lora-custom-size 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": "tuannha/ic-lora-custom-size:31ccd8c6eff9676735166b148ed6365f8f4809523ffafcd23611787c87a4c6f3",
    "input": {
      "aspect_ratio": "1:1",
      "logo_description": "A logo",
      "destination_prompt": "a coffee cup on a wooden table"
    }
  }' \
  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 L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.