qr2ai/3d_qr_code_ai_art_generator – Run with an API on Replicate

qr2ai / 3d_qr_code_ai_art_generator

3D QR CODE AI ART GENERATOR

Cold

Public
387 runs
T4

Run with an API

Playground API Examples README Versions

Input

prompt

*string

Shift + Return to add a new line

3D fairy-tale town, quaint village, charming, picturesque, idyllic, cobblestone streets, storybook, fable, folklore, enchanting3D fairy-tale town, quaint village, charming, picturesque, idyllic, cobblestone streets, storybook, fable, folklore, enchanting

The prompt to guide QR Code generation.

qr_code_content

*string

Shift + Return to add a new line

The website/content your QR Code will point to.

negative_prompt

string

Shift + Return to add a new line

ugly, disfigured, low quality, blurry, nsfwugly, disfigured, low quality, blurry, nsfw

The negative prompt to guide image generation.

Default: "ugly, disfigured, low quality, blurry, nsfw"

num_inference_steps

integer

(minimum: 20, maximum: 100)

Number of diffusion steps

Default: 40

guidance_scale

number

(minimum: 0.1, maximum: 30)

Scale for classifier-free guidance

Default: 7.5

seed

integer

Seed

Default: -1

batch_size

integer

(minimum: 1, maximum: 4)

Batch size for this prediction

Default: 1

strength

number

(minimum: 0, maximum: 1)

Indicates how much to transform the masked portion of the reference `image`. Must be between 0 and 1.

Default: 0.9

controlnet_conditioning_scale

number

(minimum: 1, maximum: 2)

The outputs of the controlnet are multiplied by `controlnet_conditioning_scale` before they are added to the residual in the original unet.

Default: 1.5

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

npx create-replicate --model=qr2ai/3d_qr_code_ai_art_generator

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 qr2ai/3d_qr_code_ai_art_generator using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "qr2ai/3d_qr_code_ai_art_generator:dbd6e68583b30030f872f6aecb091b60979bc80ccfc8d2f03d575383ebbab13f",
  {
    input: {
      seed: 7649977186,
      prompt: "3D fairy-tale town, quaint village, charming, picturesque, idyllic, cobblestone streets, storybook, fable, folklore, enchanting",
      strength: 0.9,
      batch_size: 1,
      guidance_scale: 9.5,
      negative_prompt: "ugly, disfigured, low quality, blurry, nsfw",
      qr_code_content: "https://qr2ai.com",
      num_inference_steps: 40,
      controlnet_conditioning_scale: 1.3
    }
  }
);
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 qr2ai/3d_qr_code_ai_art_generator using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "qr2ai/3d_qr_code_ai_art_generator:dbd6e68583b30030f872f6aecb091b60979bc80ccfc8d2f03d575383ebbab13f",
    input={
        "seed": 7649977186,
        "prompt": "3D fairy-tale town, quaint village, charming, picturesque, idyllic, cobblestone streets, storybook, fable, folklore, enchanting",
        "strength": 0.9,
        "batch_size": 1,
        "guidance_scale": 9.5,
        "negative_prompt": "ugly, disfigured, low quality, blurry, nsfw",
        "qr_code_content": "https://qr2ai.com",
        "num_inference_steps": 40,
        "controlnet_conditioning_scale": 1.3
    }
)
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/3d_qr_code_ai_art_generator 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": "dbd6e68583b30030f872f6aecb091b60979bc80ccfc8d2f03d575383ebbab13f",
    "input": {
      "seed": 7649977186,
      "prompt": "3D fairy-tale town, quaint village, charming, picturesque, idyllic, cobblestone streets, storybook, fable, folklore, enchanting",
      "strength": 0.9,
      "batch_size": 1,
      "guidance_scale": 9.5,
      "negative_prompt": "ugly, disfigured, low quality, blurry, nsfw",
      "qr_code_content": "https://qr2ai.com",
      "num_inference_steps": 40,
      "controlnet_conditioning_scale": 1.3
    }
  }' \
  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/qr2ai/3d_qr_code_ai_art_generator@sha256:dbd6e68583b30030f872f6aecb091b60979bc80ccfc8d2f03d575383ebbab13f \
  -i 'seed=7649977186' \
  -i 'prompt="3D fairy-tale town, quaint village, charming, picturesque, idyllic, cobblestone streets, storybook, fable, folklore, enchanting"' \
  -i 'strength=0.9' \
  -i 'batch_size=1' \
  -i 'guidance_scale=9.5' \
  -i 'negative_prompt="ugly, disfigured, low quality, blurry, nsfw"' \
  -i 'qr_code_content="https://qr2ai.com"' \
  -i 'num_inference_steps=40' \
  -i 'controlnet_conditioning_scale=1.3'

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/qr2ai/3d_qr_code_ai_art_generator@sha256:dbd6e68583b30030f872f6aecb091b60979bc80ccfc8d2f03d575383ebbab13f
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "seed": 7649977186,
      "prompt": "3D fairy-tale town, quaint village, charming, picturesque, idyllic, cobblestone streets, storybook, fable, folklore, enchanting",
      "strength": 0.9,
      "batch_size": 1,
      "guidance_scale": 9.5,
      "negative_prompt": "ugly, disfigured, low quality, blurry, nsfw",
      "qr_code_content": "https://qr2ai.com",
      "num_inference_steps": 40,
      "controlnet_conditioning_scale": 1.3
    }
  }' \
  http://localhost:5000/predictions

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

Output

{
  "completed_at": "2023-10-03T15:20:26.851069Z",
  "created_at": "2023-10-03T15:20:05.453919Z",
  "data_removed": false,
  "error": null,
  "id": "ck56tdjb23qkhqxbmdlcajkegm",
  "input": {
    "seed": 7649977186,
    "prompt": "3D fairy-tale town, quaint village, charming, picturesque, idyllic, cobblestone streets, storybook, fable, folklore, enchanting",
    "strength": 0.9,
    "batch_size": 1,
    "guidance_scale": 9.5,
    "negative_prompt": "ugly, disfigured, low quality, blurry, nsfw",
    "qr_code_content": "https://qr2ai.com",
    "num_inference_steps": 40,
    "controlnet_conditioning_scale": 1.3
  },
  "logs": "Generating QR Code from content\n  0%|          | 0/36 [00:00<?, ?it/s]\n  3%|▎         | 1/36 [00:01<00:36,  1.03s/it]\n  6%|▌         | 2/36 [00:01<00:24,  1.38it/s]\n  8%|▊         | 3/36 [00:02<00:20,  1.58it/s]\n 11%|█         | 4/36 [00:02<00:18,  1.71it/s]\n 14%|█▍        | 5/36 [00:03<00:17,  1.78it/s]\n 17%|█▋        | 6/36 [00:03<00:16,  1.83it/s]\n 19%|█▉        | 7/36 [00:04<00:15,  1.86it/s]\n 22%|██▏       | 8/36 [00:04<00:14,  1.89it/s]\n 25%|██▌       | 9/36 [00:05<00:14,  1.89it/s]\n 28%|██▊       | 10/36 [00:05<00:13,  1.91it/s]\n 31%|███       | 11/36 [00:06<00:13,  1.91it/s]\n 33%|███▎      | 12/36 [00:06<00:12,  1.91it/s]\n 36%|███▌      | 13/36 [00:07<00:12,  1.91it/s]\n 39%|███▉      | 14/36 [00:07<00:11,  1.92it/s]\n 42%|████▏     | 15/36 [00:08<00:10,  1.92it/s]\n 44%|████▍     | 16/36 [00:08<00:10,  1.92it/s]\n 47%|████▋     | 17/36 [00:09<00:09,  1.91it/s]\n 50%|█████     | 18/36 [00:09<00:09,  1.91it/s]\n 53%|█████▎    | 19/36 [00:10<00:08,  1.91it/s]\n 56%|█████▌    | 20/36 [00:10<00:08,  1.92it/s]\n 58%|█████▊    | 21/36 [00:11<00:07,  1.91it/s]\n 61%|██████    | 22/36 [00:11<00:07,  1.91it/s]\n 64%|██████▍   | 23/36 [00:12<00:06,  1.91it/s]\n 67%|██████▋   | 24/36 [00:13<00:06,  1.91it/s]\n 69%|██████▉   | 25/36 [00:13<00:05,  1.91it/s]\n 72%|███████▏  | 26/36 [00:14<00:05,  1.90it/s]\n 75%|███████▌  | 27/36 [00:14<00:04,  1.90it/s]\n 78%|███████▊  | 28/36 [00:15<00:04,  1.90it/s]\n 81%|████████  | 29/36 [00:15<00:03,  1.90it/s]\n 83%|████████▎ | 30/36 [00:16<00:03,  1.90it/s]\n 86%|████████▌ | 31/36 [00:16<00:02,  1.90it/s]\n 89%|████████▉ | 32/36 [00:17<00:02,  1.89it/s]\n 92%|█████████▏| 33/36 [00:17<00:01,  1.89it/s]\n 94%|█████████▍| 34/36 [00:18<00:01,  1.90it/s]\n 97%|█████████▋| 35/36 [00:18<00:00,  1.89it/s]\n100%|██████████| 36/36 [00:19<00:00,  1.89it/s]\n100%|██████████| 36/36 [00:19<00:00,  1.86it/s]",
  "metrics": {
    "predict_time": 21.419276,
    "total_time": 21.39715
  },
  "output": [
    "https://replicate.delivery/pbxt/SDHaIeSEIRSfr0Z26H84wtZurC2QufbY303pyrTkcf2qz4pGB/output-0.png"
  ],
  "started_at": "2023-10-03T15:20:05.431793Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ck56tdjb23qkhqxbmdlcajkegm",
    "cancel": "https://api.replicate.com/v1/predictions/ck56tdjb23qkhqxbmdlcajkegm/cancel"
  },
  "version": "31c347e84342832ce7647daee2c084a0e0cd0669f5de15c7280f6cefd9146ea5"
}

Generated in

21.4 seconds

Tweak itReport

Generating QR Code from content
  0%|          | 0/36 [00:00<?, ?it/s]
  3%|▎         | 1/36 [00:01<00:36,  1.03s/it]
  6%|▌         | 2/36 [00:01<00:24,  1.38it/s]
  8%|▊         | 3/36 [00:02<00:20,  1.58it/s]
 11%|█         | 4/36 [00:02<00:18,  1.71it/s]
 14%|█▍        | 5/36 [00:03<00:17,  1.78it/s]
 17%|█▋        | 6/36 [00:03<00:16,  1.83it/s]
 19%|█▉        | 7/36 [00:04<00:15,  1.86it/s]
 22%|██▏       | 8/36 [00:04<00:14,  1.89it/s]
 25%|██▌       | 9/36 [00:05<00:14,  1.89it/s]
 28%|██▊       | 10/36 [00:05<00:13,  1.91it/s]
 31%|███       | 11/36 [00:06<00:13,  1.91it/s]
 33%|███▎      | 12/36 [00:06<00:12,  1.91it/s]
 36%|███▌      | 13/36 [00:07<00:12,  1.91it/s]
 39%|███▉      | 14/36 [00:07<00:11,  1.92it/s]
 42%|████▏     | 15/36 [00:08<00:10,  1.92it/s]
 44%|████▍     | 16/36 [00:08<00:10,  1.92it/s]
 47%|████▋     | 17/36 [00:09<00:09,  1.91it/s]
 50%|█████     | 18/36 [00:09<00:09,  1.91it/s]
 53%|█████▎    | 19/36 [00:10<00:08,  1.91it/s]
 56%|█████▌    | 20/36 [00:10<00:08,  1.92it/s]
 58%|█████▊    | 21/36 [00:11<00:07,  1.91it/s]
 61%|██████    | 22/36 [00:11<00:07,  1.91it/s]
 64%|██████▍   | 23/36 [00:12<00:06,  1.91it/s]
 67%|██████▋   | 24/36 [00:13<00:06,  1.91it/s]
 69%|██████▉   | 25/36 [00:13<00:05,  1.91it/s]
 72%|███████▏  | 26/36 [00:14<00:05,  1.90it/s]
 75%|███████▌  | 27/36 [00:14<00:04,  1.90it/s]
 78%|███████▊  | 28/36 [00:15<00:04,  1.90it/s]
 81%|████████  | 29/36 [00:15<00:03,  1.90it/s]
 83%|████████▎ | 30/36 [00:16<00:03,  1.90it/s]
 86%|████████▌ | 31/36 [00:16<00:02,  1.90it/s]
 89%|████████▉ | 32/36 [00:17<00:02,  1.89it/s]
 92%|█████████▏| 33/36 [00:17<00:01,  1.89it/s]
 94%|█████████▍| 34/36 [00:18<00:01,  1.90it/s]
 97%|█████████▋| 35/36 [00:18<00:00,  1.89it/s]
100%|██████████| 36/36 [00:19<00:00,  1.89it/s]
100%|██████████| 36/36 [00:19<00:00,  1.86it/s]

This example was created by a different version, qr2ai/3d_qr_code_ai_art_generator:31c347e8.

Examples

View more examples

Run time and cost

This model runs on Nvidia T4 GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.