rossjillian / rankiqa

Get image quality scores

Cold

Public
1.4K runs
T4
GitHub
Paper
License

Run with an API

Playground API Examples README Versions

Prediction

rossjillian/rankiqa:bbb8452226889ef6c13466e4f9e772fb73f0113a473d0566b3021e758c7b666d

Model

rossjillian/rankiqa:bbb84522

cl3lvhqpcbgfdgvgqz367ginom

Status

Succeeded

Source

Web

Hardware

–

Total duration

0.5s

Created

about 2 years ago by @rossjillian

Input

image

{
  "image": "https://replicate.delivery/pbxt/IdpPXXmSs5bYOBCSwJmT1lP5mwgF6ngQco3zrtzKH65NdhIX/out-0.png"
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run rossjillian/rankiqa using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "rossjillian/rankiqa:bbb8452226889ef6c13466e4f9e772fb73f0113a473d0566b3021e758c7b666d",
  {
    input: {
      image: "https://replicate.delivery/pbxt/IdpPXXmSs5bYOBCSwJmT1lP5mwgF6ngQco3zrtzKH65NdhIX/out-0.png"
    }
  }
);

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

Import the client:

import replicate

Run rossjillian/rankiqa using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "rossjillian/rankiqa:bbb8452226889ef6c13466e4f9e772fb73f0113a473d0566b3021e758c7b666d",
    input={
        "image": "https://replicate.delivery/pbxt/IdpPXXmSs5bYOBCSwJmT1lP5mwgF6ngQco3zrtzKH65NdhIX/out-0.png"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run rossjillian/rankiqa 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": "rossjillian/rankiqa:bbb8452226889ef6c13466e4f9e772fb73f0113a473d0566b3021e758c7b666d",
    "input": {
      "image": "https://replicate.delivery/pbxt/IdpPXXmSs5bYOBCSwJmT1lP5mwgF6ngQco3zrtzKH65NdhIX/out-0.png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

6.077938079833984

Generated in

0.4 seconds

Tweak it Share Report

Prediction

rossjillian/rankiqa:bbb8452226889ef6c13466e4f9e772fb73f0113a473d0566b3021e758c7b666d

Model

rossjillian/rankiqa:bbb84522

wwohkvt2sbhyngzwdcgf66ccdq

Status

Succeeded

Source

Web

Hardware

–

Total duration

0.6s

Created

about 2 years ago

Input

image

{
  "image": "https://replicate.delivery/pbxt/IdpPgu85aRP8eTpiNhFEGmsz0qo1V9eeAkI8KtdxvCrtUQfo/out.png"
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run rossjillian/rankiqa using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "rossjillian/rankiqa:bbb8452226889ef6c13466e4f9e772fb73f0113a473d0566b3021e758c7b666d",
  {
    input: {
      image: "https://replicate.delivery/pbxt/IdpPgu85aRP8eTpiNhFEGmsz0qo1V9eeAkI8KtdxvCrtUQfo/out.png"
    }
  }
);

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

Import the client:

import replicate

Run rossjillian/rankiqa using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "rossjillian/rankiqa:bbb8452226889ef6c13466e4f9e772fb73f0113a473d0566b3021e758c7b666d",
    input={
        "image": "https://replicate.delivery/pbxt/IdpPgu85aRP8eTpiNhFEGmsz0qo1V9eeAkI8KtdxvCrtUQfo/out.png"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run rossjillian/rankiqa 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": "rossjillian/rankiqa:bbb8452226889ef6c13466e4f9e772fb73f0113a473d0566b3021e758c7b666d",
    "input": {
      "image": "https://replicate.delivery/pbxt/IdpPgu85aRP8eTpiNhFEGmsz0qo1V9eeAkI8KtdxvCrtUQfo/out.png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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