jyoung105/imp | Run with an API on Replicate

Input

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

npx create-replicate --model=jyoung105/imp

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 jyoung105/imp using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "jyoung105/imp:61cf72710422d9a6b8debff1a1a8fd7dc683fe31d25a837fe7df5e6b0a5f4a54",
  {
    input: {
      image: "https://replicate.delivery/pbxt/KJMIMNBJwHYQX1A4tfSmacSSxccDH3sVQtgzpwMuv88CbuJz/demo-1.jpg",
      top_p: 0.95,
      prompt: "What is the title of this book?",
      temperature: 0.7,
      max_new_tokens: 100
    }
  }
);

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 jyoung105/imp using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jyoung105/imp:61cf72710422d9a6b8debff1a1a8fd7dc683fe31d25a837fe7df5e6b0a5f4a54",
    input={
        "image": "https://replicate.delivery/pbxt/KJMIMNBJwHYQX1A4tfSmacSSxccDH3sVQtgzpwMuv88CbuJz/demo-1.jpg",
        "top_p": 0.95,
        "prompt": "What is the title of this book?",
        "temperature": 0.7,
        "max_new_tokens": 100
    }
)
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 jyoung105/imp 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": "jyoung105/imp:61cf72710422d9a6b8debff1a1a8fd7dc683fe31d25a837fe7df5e6b0a5f4a54",
    "input": {
      "image": "https://replicate.delivery/pbxt/KJMIMNBJwHYQX1A4tfSmacSSxccDH3sVQtgzpwMuv88CbuJz/demo-1.jpg",
      "top_p": 0.95,
      "prompt": "What is the title of this book?",
      "temperature": 0.7,
      "max_new_tokens": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

The Little Book of Deep Learning

Generated in

3.0 seconds

Tweak it Report View full prediction

Run time and cost

This model costs approximately $0.10 to run on Replicate, or 10 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia L40S GPU hardware. Predictions typically complete within 105 seconds.