Prediction

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

Model

lucataco/llama-3-vision-alpha:dac46dcf

ID

8kzht6ne5hrgm0cf5ybv5cmzkc

Status

Succeeded

Source

Web

Hardware

A40

Total duration

4m 53s

Created

11 months ago

Input

image
prompt: Describe the image

{
  "image": "https://replicate.delivery/pbxt/Kq17Ws2RLIXdeFeep2N56psrMVq57TPssPrffeF8HawmOhvD/frieren.jpg",
  "prompt": "Describe the image"
}

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": "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 is wearing a white dress with a golden belt around her waist and has a mischievous grin on her face. She is holding a giant hamburger in her hand, with a big bite taken out of it. Her eyes are shining with excitement and her cheeks are flushed from eating. She looks like she's in the middle of a fun and carefree moment, enjoying her meal and the company of her friends. The background is a warm and cozy setting, with a wooden table and chairs, and a festive atmosphere that suggests a holiday or special occasion. The overall vibe is playful and joyful, capturing the carefree spirit of childhood.

{
  "completed_at": "2024-04-30T15:25:13.382743Z",
  "created_at": "2024-04-30T15:20:20.780000Z",
  "data_removed": false,
  "error": null,
  "id": "8kzht6ne5hrgm0cf5ybv5cmzkc",
  "input": {
    "image": "https://replicate.delivery/pbxt/Kq17Ws2RLIXdeFeep2N56psrMVq57TPssPrffeF8HawmOhvD/frieren.jpg",
    "prompt": "Describe the image"
  },
  "logs": null,
  "metrics": {
    "predict_time": 8.905294,
    "total_time": 292.602743
  },
  "output": [
    "",
    "The ",
    "image ",
    "is ",
    "of ",
    "a ",
    "young ",
    "girl ",
    "with ",
    "",
    "short, ",
    "curly ",
    "hair ",
    "and ",
    "bright ",
    "blue ",
    "",
    "eyes. ",
    "She ",
    "is ",
    "wearing ",
    "a ",
    "white ",
    "dress ",
    "with ",
    "a ",
    "golden ",
    "belt ",
    "around ",
    "her ",
    "waist ",
    "and ",
    "has ",
    "a ",
    "",
    "",
    "mischievous ",
    "grin ",
    "on ",
    "her ",
    "",
    "face. ",
    "She ",
    "is ",
    "holding ",
    "a ",
    "giant ",
    "hamburger ",
    "in ",
    "her ",
    "",
    "hand, ",
    "with ",
    "a ",
    "big ",
    "bite ",
    "taken ",
    "out ",
    "of ",
    "",
    "it. ",
    "Her ",
    "eyes ",
    "are ",
    "shining ",
    "with ",
    "excitement ",
    "and ",
    "her ",
    "cheeks ",
    "are ",
    "flushed ",
    "from ",
    "",
    "eating. ",
    "She ",
    "looks ",
    "like ",
    "",
    "she's ",
    "in ",
    "the ",
    "middle ",
    "of ",
    "a ",
    "fun ",
    "and ",
    "",
    "carefree ",
    "",
    "moment, ",
    "enjoying ",
    "her ",
    "meal ",
    "and ",
    "the ",
    "company ",
    "of ",
    "her ",
    "",
    "friends. ",
    "The ",
    "background ",
    "is ",
    "a ",
    "warm ",
    "and ",
    "cozy ",
    "",
    "setting, ",
    "with ",
    "a ",
    "wooden ",
    "table ",
    "and ",
    "",
    "chairs, ",
    "and ",
    "a ",
    "festive ",
    "atmosphere ",
    "that ",
    "suggests ",
    "a ",
    "holiday ",
    "or ",
    "special ",
    "",
    "occasion. ",
    "The ",
    "overall ",
    "vibe ",
    "is ",
    "playful ",
    "and ",
    "",
    "joyful, ",
    "capturing ",
    "the ",
    "",
    "carefree ",
    "spirit ",
    "of ",
    "",
    "",
    "childhood."
  ],
  "started_at": "2024-04-30T15:25:04.477449Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://streaming-api.svc.us.c.replicate.net/v1/streams/rbm5s2l5wkz7yjee5nscm6by76lbikyjhu4hnc2ldpxgms7ihakq",
    "get": "https://api.replicate.com/v1/predictions/8kzht6ne5hrgm0cf5ybv5cmzkc",
    "cancel": "https://api.replicate.com/v1/predictions/8kzht6ne5hrgm0cf5ybv5cmzkc/cancel"
  },
  "version": "dac46dcfb2df89c756086576a7a0c6eca7afe5e31fa06438fdbb1f4f536eedaf"
}

Generated in

8.9 seconds

Tweak it Share Report

Prediction

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

Model

lucataco/llama-3-vision-alpha:dac46dcf

ID

jecmkssk3drgp0cf5ye9mvcmhc

Status

Succeeded

Source

Web

Hardware

A40

Total duration

0.6s

Created

11 months ago

Input

image
prompt: What type of food is the girl holding? answer briefly

{
  "image": "https://replicate.delivery/pbxt/Kq17Ws2RLIXdeFeep2N56psrMVq57TPssPrffeF8HawmOhvD/frieren.jpg",
  "prompt": "What type of food is the girl holding? answer briefly"
}

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: "What type of food is the girl holding? answer briefly"
    }
  }
);
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": "What type of food is the girl holding? answer briefly"
    }
)

# 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": "79f9f3418f65fb5d180978a969d5646e33f8ca67430a2fe903c9a4be82565925",
    "input": {
      "image": "https://replicate.delivery/pbxt/Kq17Ws2RLIXdeFeep2N56psrMVq57TPssPrffeF8HawmOhvD/frieren.jpg",
      "prompt": "What type of food is the girl holding? answer briefly"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

A hamburger!

Generated in

0.6 seconds

Tweak it Share Report

Prediction

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

Model

lucataco/llama-3-vision-alpha:dac46dcf

ID

9ypnhbzfd5rgp0cf5yea6f9m84

Status

Succeeded

Source

Web

Hardware

A40

Total duration

0.7s

Created

11 months ago

Input

image
prompt: What color is the woman's hair? answer briefly

{
  "image": "https://replicate.delivery/pbxt/Kq17Ws2RLIXdeFeep2N56psrMVq57TPssPrffeF8HawmOhvD/frieren.jpg",
  "prompt": "What color is the woman's hair? answer briefly"
}

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: "What color is the woman's hair? answer briefly"
    }
  }
);
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": "What color is the woman's hair? answer briefly"
    }
)

# 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": "79f9f3418f65fb5d180978a969d5646e33f8ca67430a2fe903c9a4be82565925",
    "input": {
      "image": "https://replicate.delivery/pbxt/Kq17Ws2RLIXdeFeep2N56psrMVq57TPssPrffeF8HawmOhvD/frieren.jpg",
      "prompt": "What color is the woman\'s hair? answer briefly"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

It s white!

Generated in

0.7 seconds

Tweak it Share Report

Prediction

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

Model

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

ID

xr5yqyfvx5rgg0cjzm4903jh9g

Status

Succeeded

Source

Web

Hardware

A40

Total duration

3m 34s

Created

5 months ago

Input

image
prompt: Describe the image

{
  "image": "https://replicate.delivery/pbxt/Kq17Ws2RLIXdeFeep2N56psrMVq57TPssPrffeF8HawmOhvD/frieren.jpg",
  "prompt": "Describe the image"
}

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": "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": [
    "",
    "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."
  ],
  "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

Tweak it Share Report

lucataco / llama-3-vision-alpha

Prediction

Input

Output

Prediction

Input

Output

Prediction

Input

Output

Prediction

Input

Output

Logs (8kzht6ne5hrgm0cf5ybv5cmzkc)

Logs (jecmkssk3drgp0cf5ye9mvcmhc)

Logs (9ypnhbzfd5rgp0cf5yea6f9m84)

Logs (xr5yqyfvx5rgg0cjzm4903jh9g)