zylim0702 / qr_code_controlnet

ControlNet QR Code Generator: Simplify QR code creation for various needs using ControlNet's user-friendly neural interface, making integration a breeze. Just key in the url !

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Public
607.4K runs
L40S

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Prediction

zylim0702/qr_code_controlnet:628e604e13cf63d8ec58bd4d238474e8986b054bc5e1326e50995fdbc851c557

Model

zylim0702/qr_code_controlnet:628e604e

5kwt3pzbmuf22gkjlo73sweelu

Status

Succeeded

Source

Web

Hardware

A100 (40GB)

Total duration

3.0s

Created

almost 2 years ago by @zylim0702

Input

url: Hello, World
prompt: a city view with clouds
scheduler: DDIM
guess_mode
num_outputs: 1
guidance_scale: 9
negative_prompt: Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality
image_resolution: 768
num_inference_steps: 20
disable_safety_check
qr_conditioning_scale: 1.3

{
  "url": "Hello, World",
  "prompt": "a city view with clouds",
  "scheduler": "DDIM",
  "guess_mode": false,
  "num_outputs": 1,
  "guidance_scale": 9,
  "negative_prompt": "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
  "image_resolution": 768,
  "num_inference_steps": 20,
  "disable_safety_check": false,
  "qr_conditioning_scale": 1.3
}

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 zylim0702/qr_code_controlnet using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "zylim0702/qr_code_controlnet:628e604e13cf63d8ec58bd4d238474e8986b054bc5e1326e50995fdbc851c557",
  {
    input: {
      url: "Hello, World",
      prompt: "a city view with clouds",
      scheduler: "DDIM",
      guess_mode: false,
      num_outputs: 1,
      guidance_scale: 9,
      negative_prompt: "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
      image_resolution: 768,
      num_inference_steps: 20,
      disable_safety_check: false,
      qr_conditioning_scale: 1.3
    }
  }
);

// 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

Import the client:

import replicate

Run zylim0702/qr_code_controlnet using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "zylim0702/qr_code_controlnet:628e604e13cf63d8ec58bd4d238474e8986b054bc5e1326e50995fdbc851c557",
    input={
        "url": "Hello, World",
        "prompt": "a city view with clouds",
        "scheduler": "DDIM",
        "guess_mode": False,
        "num_outputs": 1,
        "guidance_scale": 9,
        "negative_prompt": "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
        "image_resolution": 768,
        "num_inference_steps": 20,
        "disable_safety_check": False,
        "qr_conditioning_scale": 1.3
    }
)
print(output)

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

Run zylim0702/qr_code_controlnet 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": "zylim0702/qr_code_controlnet:628e604e13cf63d8ec58bd4d238474e8986b054bc5e1326e50995fdbc851c557",
    "input": {
      "url": "Hello, World",
      "prompt": "a city view with clouds",
      "scheduler": "DDIM",
      "guess_mode": false,
      "num_outputs": 1,
      "guidance_scale": 9,
      "negative_prompt": "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
      "image_resolution": 768,
      "num_inference_steps": 20,
      "disable_safety_check": false,
      "qr_conditioning_scale": 1.3
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-08-15T14:55:59.967090Z",
  "created_at": "2023-08-15T14:55:56.918520Z",
  "data_removed": false,
  "error": null,
  "id": "5kwt3pzbmuf22gkjlo73sweelu",
  "input": {
    "url": "Hello, World",
    "prompt": "a city view with clouds",
    "scheduler": "DDIM",
    "guess_mode": false,
    "num_outputs": 1,
    "guidance_scale": 9,
    "negative_prompt": "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
    "image_resolution": 768,
    "num_inference_steps": 20,
    "disable_safety_check": false,
    "qr_conditioning_scale": 1.3
  },
  "logs": "You have disabled the safety checker for <class 'diffusers.pipelines.controlnet.pipeline_controlnet.StableDiffusionControlNetPipeline'> by passing `safety_checker=None`. Ensure that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered results in services or applications open to the public. Both the diffusers team and Hugging Face strongly recommend to keep the safety filter enabled in all public facing circumstances, disabling it only for use-cases that involve analyzing network behavior or auditing its results. For more information, please have a look at https://github.com/huggingface/diffusers/pull/254 .\nUsing seed: 6400\n  0%|          | 0/20 [00:00<?, ?it/s]\n 10%|█         | 2/20 [00:00<00:01, 10.49it/s]\n 20%|██        | 4/20 [00:00<00:01, 10.58it/s]\n 30%|███       | 6/20 [00:00<00:01, 10.76it/s]\n 40%|████      | 8/20 [00:00<00:01, 10.87it/s]\n 50%|█████     | 10/20 [00:00<00:00, 10.93it/s]\n 60%|██████    | 12/20 [00:01<00:00, 11.00it/s]\n 70%|███████   | 14/20 [00:01<00:00, 10.89it/s]\n 80%|████████  | 16/20 [00:01<00:00, 10.92it/s]\n 90%|█████████ | 18/20 [00:01<00:00, 11.03it/s]\n100%|██████████| 20/20 [00:01<00:00, 11.06it/s]\n100%|██████████| 20/20 [00:01<00:00, 10.93it/s]",
  "metrics": {
    "predict_time": 3.085631,
    "total_time": 3.04857
  },
  "output": [
    "https://replicate.delivery/pbxt/SFZnhwaRO1rVCNNPYSpEL0LyBa4fsMjXKqbHfV4A0XBffQpFB/seed-6400.png"
  ],
  "started_at": "2023-08-15T14:55:56.881459Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/5kwt3pzbmuf22gkjlo73sweelu",
    "cancel": "https://api.replicate.com/v1/predictions/5kwt3pzbmuf22gkjlo73sweelu/cancel"
  },
  "version": "628e604e13cf63d8ec58bd4d238474e8986b054bc5e1326e50995fdbc851c557"
}

Generated in

3.1 seconds

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