zust-ai/zust-qr:f70c6868 – Run with an API on Replicate

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zust-ai /zust-qr:f70c6868

Playground API

Input

is_heartbeat

boolean

Check if server alive

Default: false

pipe_type

string

Shift + Return to add a new line

qr_image or qr_prompt or zust_reference or depth

Default: "art-coder"

seed

integer

Seed

url_to_encode

string

Shift + Return to add a new line

URL to encode in QR

Default: "https://www.google.com"

image_url

string

Shift + Return to add a new line

Image URL

Default: "./ArtCoder/content/ca.jpg"

style

string

Shift + Return to add a new line

Style image

Default: "./ArtCoder/style/texture1.1.jpg"

version

integer

Version

Default: 5

level

integer

Level

Default: 2

mask

integer

Mask

Default: 1

rotation

integer

Rotation

Default: 0

epochs

integer

Epochs

Default: 300

with_detail

boolean

Detailed output

Default: false

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

npx create-replicate --model=zust-ai/zust-qr

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 zust-ai/zust-qr using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "zust-ai/zust-qr:f70c68682c72169206a419ccc876b1e75370a7bed069f113800576a70ac1aba3",
  {
    input: {
      mask: 1,
      level: 2,
      style: "./ArtCoder/style/texture1.1.jpg",
      epochs: 300,
      version: 5,
      rotation: 0,
      image_url: "./ArtCoder/content/ca.jpg",
      pipe_type: "art-coder",
      with_detail: false,
      is_heartbeat: false,
      url_to_encode: "https://www.google.com"
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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 zust-ai/zust-qr using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "zust-ai/zust-qr:f70c68682c72169206a419ccc876b1e75370a7bed069f113800576a70ac1aba3",
    input={
        "mask": 1,
        "level": 2,
        "style": "./ArtCoder/style/texture1.1.jpg",
        "epochs": 300,
        "version": 5,
        "rotation": 0,
        "image_url": "./ArtCoder/content/ca.jpg",
        "pipe_type": "art-coder",
        "with_detail": False,
        "is_heartbeat": False,
        "url_to_encode": "https://www.google.com"
    }
)
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 zust-ai/zust-qr 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": "zust-ai/zust-qr:f70c68682c72169206a419ccc876b1e75370a7bed069f113800576a70ac1aba3",
    "input": {
      "mask": 1,
      "level": 2,
      "style": "./ArtCoder/style/texture1.1.jpg",
      "epochs": 300,
      "version": 5,
      "rotation": 0,
      "image_url": "./ArtCoder/content/ca.jpg",
      "pipe_type": "art-coder",
      "with_detail": false,
      "is_heartbeat": false,
      "url_to_encode": "https://www.google.com"
    }
  }' \
  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.