hackkhai/image-similarity | Run with an API on Replicate

Input

input_file

file

Input zip file with images

threshold

number

Threshold for similarity

Default: 0.8

image_1

file

Image 1

image_2

file

Image 2

image_3

file

Image 3

image_4

file

Image 4

image_5

file

Image 5

image_6

file

Image 6

image_7

file

Image 7

image_8

file

Image 8

image_9

file

Image 9

image_10

file

Image 10

image_11

file

Image 11

image_12

file

Image 12

image_13

file

Image 13

image_14

file

Image 14

image_15

file

Image 15

authtoken

string

Shift + Return to add a new line

Authentication token

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

npx create-replicate --model=hackkhai/image-similarity

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

const output = await replicate.run(
  "hackkhai/image-similarity:772c1150f54fcaf78adabe9c26d0b0c73ef2fffbabfdca096bca6b1b7f49544d",
  {
    input: {
      threshold: 0.8
    }
  }
);

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

output = replicate.run(
    "hackkhai/image-similarity:772c1150f54fcaf78adabe9c26d0b0c73ef2fffbabfdca096bca6b1b7f49544d",
    input={
        "threshold": 0.8
    }
)

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 hackkhai/image-similarity 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": "hackkhai/image-similarity:772c1150f54fcaf78adabe9c26d0b0c73ef2fffbabfdca096bca6b1b7f49544d",
    "input": {
      "threshold": 0.8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/hackkhai/image-similarity@sha256:772c1150f54fcaf78adabe9c26d0b0c73ef2fffbabfdca096bca6b1b7f49544d \
  -i 'threshold=0.8'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/hackkhai/image-similarity@sha256:772c1150f54fcaf78adabe9c26d0b0c73ef2fffbabfdca096bca6b1b7f49544d
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "threshold": 0.8
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

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

Run time and cost

This model runs on CPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.