Prediction

Model

yorickvp/llava-13b:e2721573

32jbpm3btrsuyflapco2xf2eza

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2.5s

Created

almost 2 years ago by cbh123

Webhook

–

Input

image: https://replicate.delivery/pbxt/JyTSl0rWVIVzyx4tkc3rF5Mo7vADbdKrvwhvgVDaqTSudxuR/Selfie%202023-12-01%20at%2011.05.11.png
prompt: what is this person doing?
top_p: 1
temperature: 0.2
max_tokens: 1024

{
  "image": "https://replicate.delivery/pbxt/JyTSl0rWVIVzyx4tkc3rF5Mo7vADbdKrvwhvgVDaqTSudxuR/Selfie%202023-12-01%20at%2011.05.11.png",
  "max_tokens": 1024,
  "prompt": "what is this person doing?",
  "temperature": 0.2,
  "top_p": 1
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_1KU**********************************

This is your API token. Keep it to yourself.

Import and set up the client:

import Replicate from "replicate";

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

Run yorickvp/llava-13b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "yorickvp/llava-13b:e272157381e2a3bf12df3a8edd1f38d1dbd736bbb7437277c8b34175f8fce358",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JyTSl0rWVIVzyx4tkc3rF5Mo7vADbdKrvwhvgVDaqTSudxuR/Selfie%202023-12-01%20at%2011.05.11.png",
      max_tokens: 1024,
      prompt: "what is this person doing?",
      temperature: 0.2,
      top_p: 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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_1KU**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run yorickvp/llava-13b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "yorickvp/llava-13b:e272157381e2a3bf12df3a8edd1f38d1dbd736bbb7437277c8b34175f8fce358",
    input={
        "image": "https://replicate.delivery/pbxt/JyTSl0rWVIVzyx4tkc3rF5Mo7vADbdKrvwhvgVDaqTSudxuR/Selfie%202023-12-01%20at%2011.05.11.png",
        "max_tokens": 1024,
        "prompt": "what is this person doing?",
        "temperature": 0.2,
        "top_p": 1
    }
)

# The yorickvp/llava-13b 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/yorickvp/llava-13b/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=r8_1KU**********************************

This is your API token. Keep it to yourself.

Run yorickvp/llava-13b 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": "yorickvp/llava-13b:e272157381e2a3bf12df3a8edd1f38d1dbd736bbb7437277c8b34175f8fce358",
    "input": {
      "image": "https://replicate.delivery/pbxt/JyTSl0rWVIVzyx4tkc3rF5Mo7vADbdKrvwhvgVDaqTSudxuR/Selfie%202023-12-01%20at%2011.05.11.png",
      "max_tokens": 1024,
      "prompt": "what is this person doing?",
      "temperature": 0.2,
      "top_p": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

The person in the image is holding a red cup up to their mouth, opening their mouth wide, and pretending to take a bite or drink from the cup.

Generated in

2.5 seconds

Tweak it Report