pengdaqian2020/image-tagger:5a3e65f2 – Run with an API on Replicate

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pengdaqian2020 /image-tagger:5a3e65f2

Playground API

Input

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

npx create-replicate --model=pengdaqian2020/image-tagger

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 pengdaqian2020/image-tagger using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "pengdaqian2020/image-tagger:5a3e65f223fe2291679a6c3c812ddb278aa6d43bbcf118c09530b4309aaac00e",
  {
    input: {
      image: "https://replicate.delivery/pbxt/Iq6u39HlpVeYwhM3hzWBfbOCVKJJ2LENzNC1ccXrw5SUYAaC/bunny3.webp",
      score_general_threshold: 0.35,
      score_character_threshold: 0.85
    }
  }
);

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 pengdaqian2020/image-tagger using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "pengdaqian2020/image-tagger:5a3e65f223fe2291679a6c3c812ddb278aa6d43bbcf118c09530b4309aaac00e",
    input={
        "image": "https://replicate.delivery/pbxt/Iq6u39HlpVeYwhM3hzWBfbOCVKJJ2LENzNC1ccXrw5SUYAaC/bunny3.webp",
        "score_general_threshold": 0.35,
        "score_character_threshold": 0.85
    }
)
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 pengdaqian2020/image-tagger 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": "pengdaqian2020/image-tagger:5a3e65f223fe2291679a6c3c812ddb278aa6d43bbcf118c09530b4309aaac00e",
    "input": {
      "image": "https://replicate.delivery/pbxt/Iq6u39HlpVeYwhM3hzWBfbOCVKJJ2LENzNC1ccXrw5SUYAaC/bunny3.webp",
      "score_general_threshold": 0.35,
      "score_character_threshold": 0.85
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

tag

blurry

confidence

0.8186014890670776

tag

no_humans

confidence

0.9389649629592896

tag

depth_of_field

confidence

0.5496093034744263

tag

animal

confidence

0.8239761590957642

tag

cat

confidence

0.608523964881897

tag

rabbit

confidence

0.4221939146518707

tag

realistic

confidence

0.7589364647865295

tag

animal_focus

confidence

0.911034345626831

Generated in

1.4 seconds

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