vetkastar/test | Run with an API on Replicate

vetkastar / test

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Run with an API

Playground API Examples README Versions

Input

image

*file

Input image

text

*string

Shift + Return to add a new line

Text to overlay on the image

font_size

integer

Font size (ignored if text_box is specified)

Default: 24

font_color

string

Shift + Return to add a new line

Font color in HEX format (ignored if gradient is specified)

Default: "#000000"

font_file

file

Path to a local font file

font_url

string

Shift + Return to add a new line

URL to a Google Font

padding

string

Shift + Return to add a new line

Padding in pixels (top, right, bottom, left) (ignored if text_box is specified)

Default: "10,10,10,10"

padding_pct

string

Shift + Return to add a new line

Padding in percentage (top, right, bottom, left) (ignored if text_box is specified)

outline_width

integer

Outline width in pixels

Default: 0

outline_color

string

Shift + Return to add a new line

Outline color in HEX format

Default: "#000000"

opacity

number

Text opacity (0 to 100)

Default: 100

letter_spacing

integer

Letter spacing in pixels

Default: 0

text_align

string

Text alignment (ignored if text_box is specified)

Default: "left"

font_style

string

Font style

Default: "none"

shadow_offset

integer

Shadow offset in pixels

Default: 0

shadow_color

string

Shift + Return to add a new line

Shadow color in HEX format

Default: "#000000"

shadow_opacity

number

Shadow opacity (0 to 100)

Default: 100

glow_size

integer

Glow size in pixels

Default: 0

glow_color

string

Shift + Return to add a new line

Glow color in HEX format

Default: "#FFFFFF"

rotation_slider

integer

(minimum: 0, maximum: 360)

Rotation angle in degrees (0 to 360)

Default: 0

text_only

boolean

Save only the text on a transparent background

Default: false

gradient_start

string

Shift + Return to add a new line

Gradient start color in HEX format

gradient_end

string

Shift + Return to add a new line

Gradient end color in HEX format

gradient_type

string

Gradient type

Default: "linear"

gradient_rotation

integer

(minimum: 0, maximum: 360)

Gradient rotation angle in degrees (0 to 360)

Default: 0

text_box

string

Shift + Return to add a new line

Text bounding box in pixels (left, top, right, bottom)

show_text_box

boolean

Show text bounding box

Default: false

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

npx create-replicate --model=vetkastar/test

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";
import fs from "node:fs";

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

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

const output = await replicate.run(
  "vetkastar/test:b97474ef21d09cbbc03dc55eaff6997d073912e063905726e61f509bcf6ab221",
  {
    input: {
      opacity: 100,
      padding: "10,10,10,10",
      font_size: 24,
      glow_size: 0,
      text_only: false,
      font_color: "#000000",
      font_style: "none",
      glow_color: "#FFFFFF",
      text_align: "left",
      shadow_color: "#000000",
      gradient_type: "linear",
      outline_color: "#000000",
      outline_width: 0,
      shadow_offset: 0,
      show_text_box: false,
      letter_spacing: 0,
      shadow_opacity: 100,
      rotation_slider: 0,
      gradient_rotation: 0
    }
  }
);

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

// To write the file to disk:
fs.writeFile("my-image.png", 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 vetkastar/test using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "vetkastar/test:b97474ef21d09cbbc03dc55eaff6997d073912e063905726e61f509bcf6ab221",
    input={
        "opacity": 100,
        "padding": "10,10,10,10",
        "font_size": 24,
        "glow_size": 0,
        "text_only": False,
        "font_color": "#000000",
        "font_style": "none",
        "glow_color": "#FFFFFF",
        "text_align": "left",
        "shadow_color": "#000000",
        "gradient_type": "linear",
        "outline_color": "#000000",
        "outline_width": 0,
        "shadow_offset": 0,
        "show_text_box": False,
        "letter_spacing": 0,
        "shadow_opacity": 100,
        "rotation_slider": 0,
        "gradient_rotation": 0
    }
)
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 vetkastar/test 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": "vetkastar/test:b97474ef21d09cbbc03dc55eaff6997d073912e063905726e61f509bcf6ab221",
    "input": {
      "opacity": 100,
      "padding": "10,10,10,10",
      "font_size": 24,
      "glow_size": 0,
      "text_only": false,
      "font_color": "#000000",
      "font_style": "none",
      "glow_color": "#FFFFFF",
      "text_align": "left",
      "shadow_color": "#000000",
      "gradient_type": "linear",
      "outline_color": "#000000",
      "outline_width": 0,
      "shadow_offset": 0,
      "show_text_box": false,
      "letter_spacing": 0,
      "shadow_opacity": 100,
      "rotation_slider": 0,
      "gradient_rotation": 0
    }
  }' \
  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.

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.