lucataco/llama-3-vision-alpha:79f9f341 – Run with an API on Replicate

Version

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lucataco /llama-3-vision-alpha:79f9f341

Playground API

Input

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

npx create-replicate --model=lucataco/llama-3-vision-alpha

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 lucataco/llama-3-vision-alpha using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/llama-3-vision-alpha:79f9f3418f65fb5d180978a969d5646e33f8ca67430a2fe903c9a4be82565925",
  {
    input: {
      image: "https://replicate.delivery/pbxt/Kq17Ws2RLIXdeFeep2N56psrMVq57TPssPrffeF8HawmOhvD/frieren.jpg",
      prompt: "Describe the image"
    }
  }
);

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 lucataco/llama-3-vision-alpha using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/llama-3-vision-alpha:79f9f3418f65fb5d180978a969d5646e33f8ca67430a2fe903c9a4be82565925",
    input={
        "image": "https://replicate.delivery/pbxt/Kq17Ws2RLIXdeFeep2N56psrMVq57TPssPrffeF8HawmOhvD/frieren.jpg",
        "prompt": "Describe the image"
    }
)

# The lucataco/llama-3-vision-alpha model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/lucataco/llama-3-vision-alpha/api#output-schema
    print(item, end="")

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 lucataco/llama-3-vision-alpha 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": "lucataco/llama-3-vision-alpha:79f9f3418f65fb5d180978a969d5646e33f8ca67430a2fe903c9a4be82565925",
    "input": {
      "image": "https://replicate.delivery/pbxt/Kq17Ws2RLIXdeFeep2N56psrMVq57TPssPrffeF8HawmOhvD/frieren.jpg",
      "prompt": "Describe the image"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

The image is of a young girl with short, curly hair and bright blue eyes. She has a sweet and cheerful face, with a hint of mischief in her eyes. She is holding a giant hamburger in her hand, with a big bite taken out of it. She looks like she's enjoying every bite of her meal, with a satisfied expression on her face. She is sitting at a table in a medieval - style tavern, surrounded by wooden tables and chairs, with a fireplace crackling in the background. The atmosphere is cozy and inviting, with a warm glow emanating from the fireplace. The girl looks like she's in her element, enjoying a hearty meal with friends and family.

{
  "completed_at": "2024-11-05T15:58:10.960136Z",
  "created_at": "2024-11-05T15:54:37.417000Z",
  "data_removed": false,
  "error": null,
  "id": "xr5yqyfvx5rgg0cjzm4903jh9g",
  "input": {
    "image": "https://replicate.delivery/pbxt/Kq17Ws2RLIXdeFeep2N56psrMVq57TPssPrffeF8HawmOhvD/frieren.jpg",
    "prompt": "Describe the image"
  },
  "logs": null,
  "metrics": {
    "predict_time": 7.222070288,
    "total_time": 213.543136
  },
  "output": [
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    "with ",
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    "short, ",
    "curly ",
    "hair ",
    "and ",
    "bright ",
    "blue ",
    "",
    "eyes. ",
    "She ",
    "has ",
    "a ",
    "sweet ",
    "and ",
    "cheerful ",
    "",
    "face, ",
    "with ",
    "a ",
    "hint ",
    "of ",
    "mischief ",
    "in ",
    "her ",
    "",
    "eyes. ",
    "She ",
    "is ",
    "holding ",
    "a ",
    "giant ",
    "hamburger ",
    "in ",
    "her ",
    "",
    "hand, ",
    "with ",
    "a ",
    "big ",
    "bite ",
    "taken ",
    "out ",
    "of ",
    "",
    "it. ",
    "She ",
    "looks ",
    "like ",
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    "she's ",
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    "every ",
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    "of ",
    "her ",
    "",
    "meal, ",
    "with ",
    "a ",
    "satisfied ",
    "expression ",
    "on ",
    "her ",
    "",
    "face. ",
    "She ",
    "is ",
    "sitting ",
    "at ",
    "a ",
    "table ",
    "in ",
    "a ",
    "medieval ",
    "- ",
    "style ",
    "",
    "tavern, ",
    "surrounded ",
    "by ",
    "wooden ",
    "tables ",
    "and ",
    "",
    "chairs, ",
    "with ",
    "a ",
    "fireplace ",
    "",
    "crackling ",
    "in ",
    "the ",
    "",
    "background. ",
    "The ",
    "atmosphere ",
    "is ",
    "cozy ",
    "and ",
    "",
    "inviting, ",
    "with ",
    "a ",
    "warm ",
    "glow ",
    "",
    "emanating ",
    "from ",
    "the ",
    "",
    "fireplace. ",
    "The ",
    "girl ",
    "looks ",
    "like ",
    "",
    "she's ",
    "in ",
    "her ",
    "",
    "element, ",
    "enjoying ",
    "a ",
    "hearty ",
    "meal ",
    "with ",
    "friends ",
    "and ",
    "",
    "",
    "family."
  ],
  "started_at": "2024-11-05T15:58:03.738066Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream-g.svc.us.c.replicate.net/v1/streams/tyc5fuqsyfaljskuudrin6ii5giamx5prdfpvk6uiqk7vlj7m56q",
    "get": "https://api.replicate.com/v1/predictions/xr5yqyfvx5rgg0cjzm4903jh9g",
    "cancel": "https://api.replicate.com/v1/predictions/xr5yqyfvx5rgg0cjzm4903jh9g/cancel"
  },
  "version": "79f9f3418f65fb5d180978a969d5646e33f8ca67430a2fe903c9a4be82565925"
}

Generated in

7.2 seconds

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