daanelson/minigpt-4:e447a858 | Run with an API on Replicate

Version

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daanelson /minigpt-4:e447a858

Playground API

Input

image

*file

Image to discuss

prompt

*string

Shift + Return to add a new line

Prompt for mini-gpt4 regarding input image

num_beams

integer

(minimum: 1, maximum: 10)

Number of beams for beam search decoding

Default: 3

temperature

number

(minimum: 0.01, maximum: 2)

Temperature for generating tokens, lower = more predictable results

Default: 1

top_p

number

(minimum: 0, maximum: 1)

Sample from the top p percent most likely tokens

Default: 0.9

repetition_penalty

number

(minimum: 0.01, maximum: 5)

Penalty for repeated words in generated text; 1 is no penalty, values greater than 1 discourage repetition, less than 1 encourage it.

Default: 1

max_new_tokens

integer

(minimum: 1)

Maximum number of new tokens to generate

Default: 3000

max_length

integer

(minimum: 1)

Total length of prompt and output in tokens

Default: 4000

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

npx create-replicate --model=daanelson/minigpt-4

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 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:e447a8583cffd86ce3b93f9c2cd24f2eae603d99ace6afa94b33a08e94a3cd06",
  {
    input: {
      top_p: 0.9,
      num_beams: 3,
      max_length: 4000,
      temperature: 1,
      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

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 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:e447a8583cffd86ce3b93f9c2cd24f2eae603d99ace6afa94b33a08e94a3cd06",
    input={
        "top_p": 0.9,
        "num_beams": 3,
        "max_length": 4000,
        "temperature": 1,
        "max_new_tokens": 3000,
        "repetition_penalty": 1
    }
)

print(output)

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 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:e447a8583cffd86ce3b93f9c2cd24f2eae603d99ace6afa94b33a08e94a3cd06",
    "input": {
      "top_p": 0.9,
      "num_beams": 3,
      "max_length": 4000,
      "temperature": 1,
      "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

No output yet! Press "Submit" to start a prediction.