Prediction

daanelson/minigpt-4:b96a2f33cc8e4b0aa23eacfce731b9c41a7d9466d9ed4e167375587b54db9423

Model

daanelson/minigpt-4:b96a2f33

ID

u6yurll6v5f6xjl2q47dudq3sy

Status

Succeeded

Source

Web

Hardware

A100 (40GB)

Total duration

16.9s

Created

about 2 years ago by @daanelson

Input

image
top_p: 0.9
prompt: This llama's name is Dave. Write me a story about how Dave found his skateboard.
num_beams: 5
max_length: 4000
temperature: 1.32
max_new_tokens: 3000
repetition_penalty: 1

{
  "image": "https://replicate.delivery/pbxt/IqG1MbemhULihtfr62URRZbI29XtcPsnOYASrTDQ6u5oSqv9/llama_13b.png",
  "top_p": 0.9,
  "prompt": "This llama's name is Dave. Write me a story about how Dave found his skateboard.",
  "num_beams": 5,
  "max_length": 4000,
  "temperature": 1.32,
  "max_new_tokens": 3000,
  "repetition_penalty": 1
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run daanelson/minigpt-4 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "daanelson/minigpt-4:b96a2f33cc8e4b0aa23eacfce731b9c41a7d9466d9ed4e167375587b54db9423",
  {
    input: {
      image: "https://replicate.delivery/pbxt/IqG1MbemhULihtfr62URRZbI29XtcPsnOYASrTDQ6u5oSqv9/llama_13b.png",
      top_p: 0.9,
      prompt: "This llama's name is Dave. Write me a story about how Dave found his skateboard.",
      num_beams: 5,
      max_length: 4000,
      temperature: 1.32,
      max_new_tokens: 3000,
      repetition_penalty: 1
    }
  }
);

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

Import the client:

import replicate

Run daanelson/minigpt-4 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "daanelson/minigpt-4:b96a2f33cc8e4b0aa23eacfce731b9c41a7d9466d9ed4e167375587b54db9423",
    input={
        "image": "https://replicate.delivery/pbxt/IqG1MbemhULihtfr62URRZbI29XtcPsnOYASrTDQ6u5oSqv9/llama_13b.png",
        "top_p": 0.9,
        "prompt": "This llama's name is Dave. Write me a story about how Dave found his skateboard.",
        "num_beams": 5,
        "max_length": 4000,
        "temperature": 1.32,
        "max_new_tokens": 3000,
        "repetition_penalty": 1
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run daanelson/minigpt-4 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": "daanelson/minigpt-4:b96a2f33cc8e4b0aa23eacfce731b9c41a7d9466d9ed4e167375587b54db9423",
    "input": {
      "image": "https://replicate.delivery/pbxt/IqG1MbemhULihtfr62URRZbI29XtcPsnOYASrTDQ6u5oSqv9/llama_13b.png",
      "top_p": 0.9,
      "prompt": "This llama\'s name is Dave. Write me a story about how Dave found his skateboard.",
      "num_beams": 5,
      "max_length": 4000,
      "temperature": 1.32,
      "max_new_tokens": 3000,
      "repetition_penalty": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Dave the llama was feeling very bored one day. He had been wandering around the city for hours, but there was nothing interesting to do. Suddenly, he saw a skateboard lying on the ground. He decided to try it out, and as soon as he started riding it, he felt a rush of excitement. He rode around the city, enjoying the feeling of the wind in his hair and the freedom of being on his own. As he rode, he saw all sorts of interesting things that he had never noticed before. He even met some new friends along the way. After a while, Dave realized that he had found his true passion - skateboarding. From then on, he spent all his free time riding his skateboard and exploring the city.

Generated in

17.0 seconds

Tweak it Share Report

Prediction

daanelson/minigpt-4:b96a2f33cc8e4b0aa23eacfce731b9c41a7d9466d9ed4e167375587b54db9423

Model

daanelson/minigpt-4:b96a2f33

ID

2455zrkvabdr3poktc3kok6r7a

Status

Succeeded

Source

Web

Hardware

A100 (40GB)

Total duration

7.5s

Created

about 2 years ago by @daanelson

Input

image
top_p: 0.9
prompt: This is a Smeatloaf, a vegetarian meatloaf made with Smeat. Smeat is made from recycled tires. Write me an advertisement for Smeatloaf.
num_beams: 5
max_length: 4000
temperature: 1.32
max_new_tokens: 3000
repetition_penalty: 1

{
  "image": "https://replicate.delivery/pbxt/IqG33GLsw7Jlr7wIX09lm7j7VjVYP6EbiJsv70JgBoBgTTB9/meatloaf.jpg",
  "top_p": 0.9,
  "prompt": "This is a Smeatloaf, a vegetarian meatloaf made with Smeat. Smeat is made from recycled tires. Write me an advertisement for Smeatloaf.",
  "num_beams": 5,
  "max_length": 4000,
  "temperature": 1.32,
  "max_new_tokens": 3000,
  "repetition_penalty": 1
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run daanelson/minigpt-4 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "daanelson/minigpt-4:b96a2f33cc8e4b0aa23eacfce731b9c41a7d9466d9ed4e167375587b54db9423",
  {
    input: {
      image: "https://replicate.delivery/pbxt/IqG33GLsw7Jlr7wIX09lm7j7VjVYP6EbiJsv70JgBoBgTTB9/meatloaf.jpg",
      top_p: 0.9,
      prompt: "This is a Smeatloaf, a vegetarian meatloaf made with Smeat. Smeat is made from recycled tires. Write me an advertisement for Smeatloaf.",
      num_beams: 5,
      max_length: 4000,
      temperature: 1.32,
      max_new_tokens: 3000,
      repetition_penalty: 1
    }
  }
);

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

Import the client:

import replicate

Run daanelson/minigpt-4 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "daanelson/minigpt-4:b96a2f33cc8e4b0aa23eacfce731b9c41a7d9466d9ed4e167375587b54db9423",
    input={
        "image": "https://replicate.delivery/pbxt/IqG33GLsw7Jlr7wIX09lm7j7VjVYP6EbiJsv70JgBoBgTTB9/meatloaf.jpg",
        "top_p": 0.9,
        "prompt": "This is a Smeatloaf, a vegetarian meatloaf made with Smeat. Smeat is made from recycled tires. Write me an advertisement for Smeatloaf.",
        "num_beams": 5,
        "max_length": 4000,
        "temperature": 1.32,
        "max_new_tokens": 3000,
        "repetition_penalty": 1
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run daanelson/minigpt-4 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": "daanelson/minigpt-4:b96a2f33cc8e4b0aa23eacfce731b9c41a7d9466d9ed4e167375587b54db9423",
    "input": {
      "image": "https://replicate.delivery/pbxt/IqG33GLsw7Jlr7wIX09lm7j7VjVYP6EbiJsv70JgBoBgTTB9/meatloaf.jpg",
      "top_p": 0.9,
      "prompt": "This is a Smeatloaf, a vegetarian meatloaf made with Smeat. Smeat is made from recycled tires. Write me an advertisement for Smeatloaf.",
      "num_beams": 5,
      "max_length": 4000,
      "temperature": 1.32,
      "max_new_tokens": 3000,
      "repetition_penalty": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Introducing Smeatloaf, the delicious and healthy meatloaf made from recycled tires! Our Smeatloaf is made with the finest ingredients and is perfect for any meal. Not only is it a great source of protein, but it is also environmentally friendly. Try it today and taste the difference!

Generated in

7.5 seconds

Tweak it Share Report

Prediction

daanelson/minigpt-4:b96a2f33cc8e4b0aa23eacfce731b9c41a7d9466d9ed4e167375587b54db9423

Model

daanelson/minigpt-4:b96a2f33

ID

cgpg344mybhetoeqipy5xcleie

Status

Succeeded

Source

Web

Hardware

A100 (40GB)

Total duration

10.1s

Created

about 2 years ago

Input

image
top_p: 0.9
prompt: Can you give me a brief history of the structure in this image?
num_beams: 5
max_length: 4000
temperature: 1.32
max_new_tokens: 3000
repetition_penalty: 1

{
  "image": "https://replicate.delivery/pbxt/IqG59Nnm06ywprkgusr3N7F3h4TX7WAkIJZmI7dMIMK4R99R/gg_bridge.jpeg",
  "top_p": 0.9,
  "prompt": "Can you give me a brief history of the structure in this image?",
  "num_beams": 5,
  "max_length": 4000,
  "temperature": 1.32,
  "max_new_tokens": 3000,
  "repetition_penalty": 1
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run daanelson/minigpt-4 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "daanelson/minigpt-4:b96a2f33cc8e4b0aa23eacfce731b9c41a7d9466d9ed4e167375587b54db9423",
  {
    input: {
      image: "https://replicate.delivery/pbxt/IqG59Nnm06ywprkgusr3N7F3h4TX7WAkIJZmI7dMIMK4R99R/gg_bridge.jpeg",
      top_p: 0.9,
      prompt: "Can you give me a brief history of the structure in this image?",
      num_beams: 5,
      max_length: 4000,
      temperature: 1.32,
      max_new_tokens: 3000,
      repetition_penalty: 1
    }
  }
);

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

Import the client:

import replicate

Run daanelson/minigpt-4 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "daanelson/minigpt-4:b96a2f33cc8e4b0aa23eacfce731b9c41a7d9466d9ed4e167375587b54db9423",
    input={
        "image": "https://replicate.delivery/pbxt/IqG59Nnm06ywprkgusr3N7F3h4TX7WAkIJZmI7dMIMK4R99R/gg_bridge.jpeg",
        "top_p": 0.9,
        "prompt": "Can you give me a brief history of the structure in this image?",
        "num_beams": 5,
        "max_length": 4000,
        "temperature": 1.32,
        "max_new_tokens": 3000,
        "repetition_penalty": 1
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run daanelson/minigpt-4 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": "daanelson/minigpt-4:b96a2f33cc8e4b0aa23eacfce731b9c41a7d9466d9ed4e167375587b54db9423",
    "input": {
      "image": "https://replicate.delivery/pbxt/IqG59Nnm06ywprkgusr3N7F3h4TX7WAkIJZmI7dMIMK4R99R/gg_bridge.jpeg",
      "top_p": 0.9,
      "prompt": "Can you give me a brief history of the structure in this image?",
      "num_beams": 5,
      "max_length": 4000,
      "temperature": 1.32,
      "max_new_tokens": 3000,
      "repetition_penalty": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

The image shows the Golden Gate Bridge in San Francisco, California. The bridge is a suspension bridge that spans the Golden Gate Strait, connecting the city of San Francisco with Marin County. It was completed in 1937 and is one of the most recognizable landmarks in the world. The bridge is over 2 miles long and was built to withstand earthquakes and high winds. It is a major tourist attraction and is visited by millions of people each year.

Generated in

10.2 seconds

Tweak it Share Report