andreasjansson/blip-2:4b32258c – Run with an API on Replicate

Version

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andreasjansson /blip-2:4b32258c

Playground API

Input

image

*file

Input image to query or caption

caption

boolean

Select if you want to generate image captions instead of asking questions

Default: false

question

string

Shift + Return to add a new line

Question to ask about this image. Leave blank for captioning

Default: "What is this a picture of?"

context

string

Shift + Return to add a new line

question: what animal is this? answer: pandaquestion: what animal is this? answer: panda

Optional - previous questions and answers to be used as context for answering current question

use_nucleus_sampling

boolean

Toggles the model using nucleus sampling to generate responses

Default: false

temperature

number

(minimum: 0.5, maximum: 1)

Temperature for use with nucleus sampling

Default: 1

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

npx create-replicate --model=andreasjansson/blip-2

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 andreasjansson/blip-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "andreasjansson/blip-2:4b32258c42e9efd4288bb9910bc532a69727f9acd26aa08e175713a0a857a608",
  {
    input: {
      image: "https://replicate.delivery/pbxt/IJETATwaW4ZAi1I86Xx5H0LjD4f4NBVcMvbSbUxCnPBKFQsE/panda.jpeg",
      caption: false,
      context: "question: what animal is this? answer: panda",
      question: "what country is this animal from? ",
      temperature: 1,
      use_nucleus_sampling: false
    }
  }
);

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 andreasjansson/blip-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "andreasjansson/blip-2:4b32258c42e9efd4288bb9910bc532a69727f9acd26aa08e175713a0a857a608",
    input={
        "image": "https://replicate.delivery/pbxt/IJETATwaW4ZAi1I86Xx5H0LjD4f4NBVcMvbSbUxCnPBKFQsE/panda.jpeg",
        "caption": False,
        "context": "question: what animal is this? answer: panda",
        "question": "what country is this animal from? ",
        "temperature": 1,
        "use_nucleus_sampling": False
    }
)
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 andreasjansson/blip-2 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": "andreasjansson/blip-2:4b32258c42e9efd4288bb9910bc532a69727f9acd26aa08e175713a0a857a608",
    "input": {
      "image": "https://replicate.delivery/pbxt/IJETATwaW4ZAi1I86Xx5H0LjD4f4NBVcMvbSbUxCnPBKFQsE/panda.jpeg",
      "caption": false,
      "context": "question: what animal is this? answer: panda",
      "question": "what country is this animal from? ",
      "temperature": 1,
      "use_nucleus_sampling": false
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

china

Generated in

0.9 seconds

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