qr2ai/ar | Run with an API on Replicate

qr2ai / ar

Text to image prompt (Updated 1 year, 7 months ago)

Cold

Public
1.1K runs
L40S

Iterate in playground

Run with an API

Playground API Examples README Versions

Input

prompt

*string

Shift + Return to add a new line

Input prompt for design creation

negative_prompt

string

Shift + Return to add a new line

low quality, bad quality, sketches, nsfwlow quality, bad quality, sketches, nsfw

Input Negative Prompt

Default: "low quality, bad quality, sketches, nsfw"

num_inference_steps

integer

(minimum: 1, maximum: 500)

Number of denoising steps

Default: 50

condition_scale

number

(minimum: 0, maximum: 1)

Controlnet conditioning scale for generalization

Default: 0.5

seed

integer

Random seed. Set to 0 to randomize the seed

Default: 0

d_text

string

Shift + Return to add a new line

Enter the text for the first design

Default: "."

t_text

string

Shift + Return to add a new line

Enter the text for the second design

Default: "."

f_style_1

string

Choose the font style

Default: "ar_style1"

f_style_2

string

Choose the font style

Default: "ar_style1"

design_color

string

Choose the design color

Default: "black"

final_color

string

Choose the final text color

Default: "white"

blend_mode

string

Choose the blend mode for overlaying text

Default: "normal"

image_size

string

Choose the image size

Default: "1024x1024"

padding_option_1

integer

Choose padding percentage for text padding

Default: 90

padding_option_2

integer

Choose padding percentage for text padding

Default: 90

name_position_1

string

Choose the position of the first name

Default: "center"

name_position_2

string

Choose the position of the second name

Default: "center"

d_image

file

Upload an image for the first design

t_image

file

Upload an image for the second design

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

npx create-replicate --model=qr2ai/ar

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 qr2ai/ar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "qr2ai/ar:3cfdeb382d7cd41ba48a9e32054e14fd4b1b51ed4566176ab7699d69c5ff1873",
  {
    input: {
      seed: 0,
      d_text: ".",
      prompt: "solarpunk future cityscape",
      t_text: ".",
      f_style_1: "ar_style6",
      f_style_2: "ar_style6",
      blend_mode: "lighten",
      image_size: "1024x1024",
      final_color: "teal",
      design_color: "yellow",
      condition_scale: 0.65,
      name_position_1: "bottom",
      name_position_2: "bottom",
      negative_prompt: "low quality, bad quality, sketches, nsfw",
      padding_option_1: 50,
      padding_option_2: 50,
      num_inference_steps: 50
    }
  }
);

// 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 qr2ai/ar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "qr2ai/ar:3cfdeb382d7cd41ba48a9e32054e14fd4b1b51ed4566176ab7699d69c5ff1873",
    input={
        "seed": 0,
        "d_text": ".",
        "prompt": "solarpunk future cityscape",
        "t_text": ".",
        "f_style_1": "ar_style6",
        "f_style_2": "ar_style6",
        "blend_mode": "lighten",
        "image_size": "1024x1024",
        "final_color": "teal",
        "design_color": "yellow",
        "condition_scale": 0.65,
        "name_position_1": "bottom",
        "name_position_2": "bottom",
        "negative_prompt": "low quality, bad quality, sketches, nsfw",
        "padding_option_1": 50,
        "padding_option_2": 50,
        "num_inference_steps": 50
    }
)
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 qr2ai/ar 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": "qr2ai/ar:3cfdeb382d7cd41ba48a9e32054e14fd4b1b51ed4566176ab7699d69c5ff1873",
    "input": {
      "seed": 0,
      "d_text": ".",
      "prompt": "solarpunk future cityscape",
      "t_text": ".",
      "f_style_1": "ar_style6",
      "f_style_2": "ar_style6",
      "blend_mode": "lighten",
      "image_size": "1024x1024",
      "final_color": "teal",
      "design_color": "yellow",
      "condition_scale": 0.65,
      "name_position_1": "bottom",
      "name_position_2": "bottom",
      "negative_prompt": "low quality, bad quality, sketches, nsfw",
      "padding_option_1": 50,
      "padding_option_2": 50,
      "num_inference_steps": 50
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-11-26T20:59:53.412657Z",
  "created_at": "2023-11-26T20:59:36.668863Z",
  "data_removed": false,
  "error": null,
  "id": "77cl5qdbn56aobmvk7lurwdndi",
  "input": {
    "seed": 0,
    "d_text": ".",
    "prompt": "solarpunk future cityscape",
    "t_text": ".",
    "f_style_1": "ar_style6",
    "f_style_2": "ar_style6",
    "blend_mode": "lighten",
    "image_size": "1024x1024",
    "final_color": "teal",
    "design_color": "yellow",
    "condition_scale": 0.65,
    "name_position_1": "bottom",
    "name_position_2": "bottom",
    "negative_prompt": "low quality, bad quality, sketches, nsfw",
    "padding_option_1": 50,
    "padding_option_2": 50,
    "num_inference_steps": 50
  },
  "logs": "Random Seed Generated: 65406\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:14,  3.41it/s]\n  4%|▍         | 2/50 [00:00<00:14,  3.40it/s]\n  6%|▌         | 3/50 [00:00<00:13,  3.39it/s]\n  8%|▊         | 4/50 [00:01<00:13,  3.38it/s]\n 10%|█         | 5/50 [00:01<00:13,  3.38it/s]\n 12%|█▏        | 6/50 [00:01<00:13,  3.37it/s]\n 14%|█▍        | 7/50 [00:02<00:12,  3.37it/s]\n 16%|█▌        | 8/50 [00:02<00:12,  3.37it/s]\n 18%|█▊        | 9/50 [00:02<00:12,  3.37it/s]\n 20%|██        | 10/50 [00:02<00:11,  3.36it/s]\n 22%|██▏       | 11/50 [00:03<00:11,  3.36it/s]\n 24%|██▍       | 12/50 [00:03<00:11,  3.37it/s]\n 26%|██▌       | 13/50 [00:03<00:10,  3.38it/s]\n 28%|██▊       | 14/50 [00:04<00:10,  3.38it/s]\n 30%|███       | 15/50 [00:04<00:10,  3.38it/s]\n 32%|███▏      | 16/50 [00:04<00:10,  3.39it/s]\n 34%|███▍      | 17/50 [00:05<00:09,  3.39it/s]\n 36%|███▌      | 18/50 [00:05<00:09,  3.39it/s]\n 38%|███▊      | 19/50 [00:05<00:09,  3.39it/s]\n 40%|████      | 20/50 [00:05<00:08,  3.39it/s]\n 42%|████▏     | 21/50 [00:06<00:08,  3.39it/s]\n 44%|████▍     | 22/50 [00:06<00:08,  3.39it/s]\n 46%|████▌     | 23/50 [00:06<00:07,  3.39it/s]\n 48%|████▊     | 24/50 [00:07<00:07,  3.39it/s]\n 50%|█████     | 25/50 [00:07<00:07,  3.39it/s]\n 52%|█████▏    | 26/50 [00:07<00:07,  3.39it/s]\n 54%|█████▍    | 27/50 [00:07<00:06,  3.39it/s]\n 56%|█████▌    | 28/50 [00:08<00:06,  3.39it/s]\n 58%|█████▊    | 29/50 [00:08<00:06,  3.39it/s]\n 60%|██████    | 30/50 [00:08<00:05,  3.39it/s]\n 62%|██████▏   | 31/50 [00:09<00:05,  3.39it/s]\n 64%|██████▍   | 32/50 [00:09<00:05,  3.38it/s]\n 66%|██████▌   | 33/50 [00:09<00:05,  3.38it/s]\n 68%|██████▊   | 34/50 [00:10<00:04,  3.38it/s]\n 70%|███████   | 35/50 [00:10<00:04,  3.38it/s]\n 72%|███████▏  | 36/50 [00:10<00:04,  3.38it/s]\n 74%|███████▍  | 37/50 [00:10<00:03,  3.38it/s]\n 76%|███████▌  | 38/50 [00:11<00:03,  3.38it/s]\n 78%|███████▊  | 39/50 [00:11<00:03,  3.38it/s]\n 80%|████████  | 40/50 [00:11<00:02,  3.38it/s]\n 82%|████████▏ | 41/50 [00:12<00:02,  3.38it/s]\n 84%|████████▍ | 42/50 [00:12<00:02,  3.38it/s]\n 86%|████████▌ | 43/50 [00:12<00:02,  3.38it/s]\n 88%|████████▊ | 44/50 [00:13<00:01,  3.38it/s]\n 90%|█████████ | 45/50 [00:13<00:01,  3.38it/s]\n 92%|█████████▏| 46/50 [00:13<00:01,  3.38it/s]\n 94%|█████████▍| 47/50 [00:13<00:00,  3.38it/s]\n 96%|█████████▌| 48/50 [00:14<00:00,  3.37it/s]\n 98%|█████████▊| 49/50 [00:14<00:00,  3.37it/s]\n100%|██████████| 50/50 [00:14<00:00,  3.37it/s]\n100%|██████████| 50/50 [00:14<00:00,  3.38it/s]",
  "metrics": {
    "predict_time": 16.701339,
    "total_time": 16.743794
  },
  "output": "https://replicate.delivery/pbxt/PavjEMCDqmrZHRre3tBOlNtj17dNeG2fBGZsQlFsBGwReYxHB/output-0.png",
  "started_at": "2023-11-26T20:59:36.711318Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/77cl5qdbn56aobmvk7lurwdndi",
    "cancel": "https://api.replicate.com/v1/predictions/77cl5qdbn56aobmvk7lurwdndi/cancel"
  },
  "version": "0560b83f6c486d584bdcdca7012aa10e254d892dd819121687bce8922656a57b"
}

Generated in

16.7 seconds

Tweak itReport

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This output was created using a different version of the model, qr2ai/ar:0560b83f.

Examples

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Run time and cost

This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.

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