Prediction

hayooucom/vision-llama3:26d113799e1efd638526bc541ba79241b786354388355beb79c249fd8a22d35c

Model

hayooucom/vision-llama3:26d11379

ID

4dnx5rqppnrgg0cfn37rmqfmnr

Status

Succeeded

Source

Web

Hardware

A40

Total duration

1m 42s

Created

about 1 year ago

Input

top_k: 1
top_p: 1
prompt: describe this image
image_url: [ "https://support.content.office.net/en-us/media/3dd2b79b-9160-403d-9967-af893d17b580.png" ]
max_tokens: 45000
temperature: 0.1
image_base64: []
system_prompt: You are a helpful AI assistant.
max_new_tokens: 200
repetition_penalty: 1.1

{
  "top_k": 1,
  "top_p": 1,
  "prompt": "describe this image",
  "image_url": [
    "https://support.content.office.net/en-us/media/3dd2b79b-9160-403d-9967-af893d17b580.png"
  ],
  "max_tokens": 45000,
  "temperature": 0.1,
  "image_base64": [],
  "system_prompt": "You are a helpful AI assistant.",
  "max_new_tokens": 200,
  "repetition_penalty": 1.1
}

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 hayooucom/vision-llama3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "hayooucom/vision-llama3:26d113799e1efd638526bc541ba79241b786354388355beb79c249fd8a22d35c",
  {
    input: {
      top_k: 1,
      top_p: 1,
      prompt: "describe this image",
      image_url: ["https://support.content.office.net/en-us/media/3dd2b79b-9160-403d-9967-af893d17b580.png"],
      max_tokens: 45000,
      temperature: 0.1,
      image_base64: [],
      system_prompt: "You are a helpful AI assistant.",
      max_new_tokens: 200,
      repetition_penalty: 1.1
    }
  }
);

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 hayooucom/vision-llama3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "hayooucom/vision-llama3:26d113799e1efd638526bc541ba79241b786354388355beb79c249fd8a22d35c",
    input={
        "top_k": 1,
        "top_p": 1,
        "prompt": "describe this image",
        "image_url": ["https://support.content.office.net/en-us/media/3dd2b79b-9160-403d-9967-af893d17b580.png"],
        "max_tokens": 45000,
        "temperature": 0.1,
        "image_base64": [],
        "system_prompt": "You are a helpful AI assistant.",
        "max_new_tokens": 200,
        "repetition_penalty": 1.1
    }
)

# The hayooucom/vision-llama3 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/hayooucom/vision-llama3/api#output-schema
    print(item, end="")

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

Run hayooucom/vision-llama3 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": "hayooucom/vision-llama3:26d113799e1efd638526bc541ba79241b786354388355beb79c249fd8a22d35c",
    "input": {
      "top_k": 1,
      "top_p": 1,
      "prompt": "describe this image",
      "image_url": ["https://support.content.office.net/en-us/media/3dd2b79b-9160-403d-9967-af893d17b580.png"],
      "max_tokens": 45000,
      "temperature": 0.1,
      "image_base64": [],
      "system_prompt": "You are a helpful AI assistant.",
      "max_new_tokens": 200,
      "repetition_penalty": 1.1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

The image is a screenshot of an Excel spreadsheet with the title "Sales Report". It contains data related to sales, including product names, quantities sold (Qtr 1 and Qtr 2), and total sales amounts. The products listed are Chocolade, Gummibären, Scottish Longbreads, Sir Rodney's Scones, Tarte au sucre, and Chocolate Biscuits. Each row represents a different product, and there is a column for each quarter's sales figures as well as a column for the grand total. The background color of the cells alternates between white and light blue, which helps in distinguishing between rows. The font used throughout the spreadsheet is sans-serif, and the numbers are aligned to the right within their cells.

{
  "completed_at": "2024-05-24T04:17:34.092885Z",
  "created_at": "2024-05-24T04:15:52.501000Z",
  "data_removed": false,
  "error": null,
  "id": "4dnx5rqppnrgg0cfn37rmqfmnr",
  "input": {
    "top_k": 1,
    "top_p": 1,
    "prompt": "describe this image",
    "image_url": [
      "https://support.content.office.net/en-us/media/3dd2b79b-9160-403d-9967-af893d17b580.png"
    ],
    "max_tokens": 45000,
    "temperature": 0.1,
    "image_base64": [],
    "system_prompt": "You are a helpful AI assistant.",
    "max_new_tokens": 200,
    "repetition_penalty": 1.1
  },
  "logs": "max_tokens 45000\ntoken_count0 3\nstop_ids [27, 27, 128009]\nres The image is a screenshot of an Excel spreadsheet with the title \"Sales Report\". It contains data related to sales, including product names, quantities sold (Qtr 1 and Qtr 2), and total sales amounts. The products listed are Chocolade, Gummibären, Scottish Longbreads, Sir Rodney's Scones, Tarte au sucre, and Chocolate Biscuits. Each row represents a different product, and there is a column for each quarter's sales figures as well as a column for the grand total. The background color of the cells alternates between white and light blue, which helps in distinguishing between rows. The font used throughout the spreadsheet is sans-serif, and the numbers are aligned to the right within their cells.",
  "metrics": {
    "predict_time": 11.39407,
    "total_time": 101.591885
  },
  "output": [
    "The image is a screenshot of an Excel spreadsheet with the title \"Sales Report\". It contains data related to sales, including product names, quantities sold (Qtr 1 and Qtr 2), and total sales amounts. The products listed are Chocolade, Gummibären, Scottish Longbreads, Sir Rodney's Scones, Tarte au sucre, and Chocolate Biscuits. Each row represents a different product, and there is a column for each quarter's sales figures as well as a column for the grand total. The background color of the cells alternates between white and light blue, which helps in distinguishing between rows. The font used throughout the spreadsheet is sans-serif, and the numbers are aligned to the right within their cells."
  ],
  "started_at": "2024-05-24T04:17:22.698815Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://streaming-api.svc.us.c.replicate.net/v1/streams/jerxn2a7w23rlsjgd5jcaw5sroomgxh6lmx32xo6evkb2i6nhwpa",
    "get": "https://api.replicate.com/v1/predictions/4dnx5rqppnrgg0cfn37rmqfmnr",
    "cancel": "https://api.replicate.com/v1/predictions/4dnx5rqppnrgg0cfn37rmqfmnr/cancel"
  },
  "version": "26d113799e1efd638526bc541ba79241b786354388355beb79c249fd8a22d35c"
}

Generated in

11.4 seconds

Tweak it Share Report

Prediction

hayooucom/vision-llama3:26d113799e1efd638526bc541ba79241b786354388355beb79c249fd8a22d35c

Model

hayooucom/vision-llama3:26d11379

ID

9xk0yvv2ndrgm0cfn39s0cx9r8

Status

Succeeded

Source

API

Hardware

A40

Total duration

1m 39s

Created

about 1 year ago

Input

top_p: 0.9
prompt: 当前时间：2024年05月24日 12:19:36 星期五 Q:图片中有什么 A:
image_url: [ "https://v.stylee.top/files/vision/upimg-1716524368933492.jpg" ]
max_tokens: 800
temperature: 0.2

{
  "top_p": 0.9,
  "prompt": "\n当前时间：2024年05月24日 12:19:36 星期五\n\n\nQ:图片中有什么\nA:\n",
  "image_url": [
    "https://v.stylee.top/files/vision/upimg-1716524368933492.jpg"
  ],
  "max_tokens": 800,
  "temperature": 0.2
}

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 hayooucom/vision-llama3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "hayooucom/vision-llama3:26d113799e1efd638526bc541ba79241b786354388355beb79c249fd8a22d35c",
  {
    input: {
      top_p: 0.9,
      prompt: "\n当前时间：2024年05月24日 12:19:36 星期五\n\n\nQ:图片中有什么\nA:\n",
      image_url: ["https://v.stylee.top/files/vision/upimg-1716524368933492.jpg"],
      max_tokens: 800,
      temperature: 0.2
    }
  }
);

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 hayooucom/vision-llama3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "hayooucom/vision-llama3:26d113799e1efd638526bc541ba79241b786354388355beb79c249fd8a22d35c",
    input={
        "top_p": 0.9,
        "prompt": "\n当前时间：2024年05月24日 12:19:36 星期五\n\n\nQ:图片中有什么\nA:\n",
        "image_url": ["https://v.stylee.top/files/vision/upimg-1716524368933492.jpg"],
        "max_tokens": 800,
        "temperature": 0.2
    }
)

# The hayooucom/vision-llama3 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/hayooucom/vision-llama3/api#output-schema
    print(item, end="")

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

Run hayooucom/vision-llama3 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": "hayooucom/vision-llama3:26d113799e1efd638526bc541ba79241b786354388355beb79c249fd8a22d35c",
    "input": {
      "top_p": 0.9,
      "prompt": "\\n当前时间：2024年05月24日 12:19:36 星期五\\n\\n\\nQ:图片中有什么\\nA:\\n",
      "image_url": ["https://v.stylee.top/files/vision/upimg-1716524368933492.jpg"],
      "max_tokens": 800,
      "temperature": 0.2
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

图片中展示了一个打开的冰箱，里面装满了各种食物。从顶部开始，有瓶装水和果汁，还有绿叶蔬菜、橙子，以及其他可能是奶制品或酸奶的容器。在下面一层，可以看到更多的新鲜农产品，如西红柿、黄瓜、苹果等。此外，还有一些预包装的食品，比如鸡蛋盒和三明治。最底部的架子上放着一些剩饭和调味品。整体印象是一个被充分利用且准备好提供餐点的冰箱。

Generated in

10.4 seconds

Tweak it Share Report

Prediction

hayooucom/vision-llama3:26d113799e1efd638526bc541ba79241b786354388355beb79c249fd8a22d35c

Model

hayooucom/vision-llama3:26d11379

ID

anpjwaa8d5rgg0cfn3hbpwzyar

Status

Succeeded

Source

API

Hardware

A40

Total duration

13.7s

Created

about 1 year ago

Input

top_p: 0.9
prompt: 当前时间：2024年05月24日 12:35:52 星期五 Q:写一个关于兔子和森林的故事 A:
image_url: [ "https://v.stylee.top/files/vision/upimg-1716524368933492.jpg" ]
max_tokens: 800
temperature: 0.2

{
  "top_p": 0.9,
  "prompt": "\n当前时间：2024年05月24日 12:35:52 星期五\n\n\nQ:写一个 关于兔子和森林的故事\nA:\n",
  "image_url": [
    "https://v.stylee.top/files/vision/upimg-1716524368933492.jpg"
  ],
  "max_tokens": 800,
  "temperature": 0.2
}

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 hayooucom/vision-llama3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "hayooucom/vision-llama3:26d113799e1efd638526bc541ba79241b786354388355beb79c249fd8a22d35c",
  {
    input: {
      top_p: 0.9,
      prompt: "\n当前时间：2024年05月24日 12:35:52 星期五\n\n\nQ:写一个 关于兔子和森林的故事\nA:\n",
      image_url: ["https://v.stylee.top/files/vision/upimg-1716524368933492.jpg"],
      max_tokens: 800,
      temperature: 0.2
    }
  }
);

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 hayooucom/vision-llama3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "hayooucom/vision-llama3:26d113799e1efd638526bc541ba79241b786354388355beb79c249fd8a22d35c",
    input={
        "top_p": 0.9,
        "prompt": "\n当前时间：2024年05月24日 12:35:52 星期五\n\n\nQ:写一个 关于兔子和森林的故事\nA:\n",
        "image_url": ["https://v.stylee.top/files/vision/upimg-1716524368933492.jpg"],
        "max_tokens": 800,
        "temperature": 0.2
    }
)

# The hayooucom/vision-llama3 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/hayooucom/vision-llama3/api#output-schema
    print(item, end="")

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

Run hayooucom/vision-llama3 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": "hayooucom/vision-llama3:26d113799e1efd638526bc541ba79241b786354388355beb79c249fd8a22d35c",
    "input": {
      "top_p": 0.9,
      "prompt": "\\n当前时间：2024年05月24日 12:35:52 星期五\\n\\n\\nQ:写一个 关于兔子和森林的故事\\nA:\\n",
      "image_url": ["https://v.stylee.top/files/vision/upimg-1716524368933492.jpg"],
      "max_tokens": 800,
      "temperature": 0.2
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

在一个宁静的森林里，兔子们过着快乐而简单的生活。它们白天忙于采摘草药和果实，而夜晚则享受着温暖的火堆和故事会。有一只名叫弗洛伦斯的小兔子，她最喜欢的事情就是探索周围的世界。她总是充满好奇心，渴望了解更多关于她所居住的这个美丽大地的事物。一天，当弗洛伦斯漫步时，她发现了一个被丢弃的木箱。它看起来很旧，但仍然完好无损。她的好奇心被点燃了，她决定打开它看看里面有什么。当她把盖子掀开时，她惊讶地看到了一张古老的地图，上面标注着许多她从未听说过的地方。弗洛伦斯知道这是一次冒险的开始，她

{
  "completed_at": "2024-05-24T04:36:06.716025Z",
  "created_at": "2024-05-24T04:35:53.065000Z",
  "data_removed": false,
  "error": null,
  "id": "anpjwaa8d5rgg0cfn3hbpwzyar",
  "input": {
    "top_p": 0.9,
    "prompt": "\n当前时间：2024年05月24日 12:35:52 星期五\n\n\nQ:写一个 关于兔子和森林的故事\nA:\n",
    "image_url": [
      "https://v.stylee.top/files/vision/upimg-1716524368933492.jpg"
    ],
    "max_tokens": 800,
    "temperature": 0.2
  },
  "logs": "max_tokens 800\ntoken_count0 38\nstop_ids [27, 27, 128009]\nres 在一个宁静的森林里，兔子们过着快乐而简单的生活。它们白天忙于采摘草药和果实，而夜晚则享受着温暖的火堆和故事会。\n有一只名叫弗洛伦斯的小兔子，她最喜欢的事情就是探索周围的世界。她总是充满好奇心，渴望了解更多关于她所居住的这个美丽大地的事物。\n一天，当弗洛伦斯漫步时，她发现了一个被丢弃的木箱。它看起来很旧，但仍然完好无损。她的好奇心被点燃了，她决定打开它看看里面有什么。\n当她把盖子掀开时，她惊讶地看到了一张古老的地图，上面标注着许多她从未听说过的地方。弗洛伦斯知道这是一次冒险的开始，她",
  "metrics": {
    "predict_time": 13.61558,
    "total_time": 13.651025
  },
  "output": [
    "在一个宁静的森林里，兔子们过着快乐而简单的生活。它们白天忙于采摘草药和果实，而夜晚则享受着温暖的火堆和故事会。\n有一只名叫弗洛伦斯的小兔子，她最喜欢的事情就是探索周围的世界。她总是充满好奇心，渴望了解更多关于她所居住的这个美丽大地的事物。\n一天，当弗洛伦斯漫步时，她发现了一个被丢弃的木箱。它看起来很旧，但仍然完好无损。她的好奇心被点燃了，她决定打开它看看里面有什么。\n当她把盖子掀开时，她惊讶地看到了一张古老的地图，上面标注着许多她从未听说过的地方。弗洛伦斯知道这是一次冒险的开始，她"
  ],
  "started_at": "2024-05-24T04:35:53.100445Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/anpjwaa8d5rgg0cfn3hbpwzyar",
    "cancel": "https://api.replicate.com/v1/predictions/anpjwaa8d5rgg0cfn3hbpwzyar/cancel"
  },
  "version": "26d113799e1efd638526bc541ba79241b786354388355beb79c249fd8a22d35c"
}

Generated in

13.6 seconds

Tweak it Share Report

hayooucom / vision-llama3

Prediction

Input

Output

Prediction

Input

Output

Prediction

Input

Output

Logs (4dnx5rqppnrgg0cfn37rmqfmnr)

Logs (9xk0yvv2ndrgm0cfn39s0cx9r8)

Logs (anpjwaa8d5rgg0cfn3hbpwzyar)