Prediction

Model

zylim0702/qr_code_controlnet:628e604e

5kwt3pzbmuf22gkjlo73sweelu

Status

Succeeded

Source

Web

Hardware

A100 (40GB)

Total duration

3.0s

Created

over 2 years ago by zylim0702

Webhook

–

Input

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

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

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_MTP**********************************

This is your API token. Keep it to yourself.

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

// 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=r8_MTP**********************************

This is your API token. Keep it to yourself.

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

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

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

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=r8_MTP**********************************

This is your API token. Keep it to yourself.

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

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

Output

{
  "id": "5kwt3pzbmuf22gkjlo73sweelu",
  "model": "zylim0702/qr_code_controlnet",
  "version": "628e604e13cf63d8ec58bd4d238474e8986b054bc5e1326e50995fdbc851c557",
  "input": {
    "disable_safety_check": false,
    "guess_mode": false,
    "guidance_scale": 9,
    "image_resolution": 768,
    "negative_prompt": "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
    "num_inference_steps": 20,
    "num_outputs": 1,
    "prompt": "a city view with clouds",
    "qr_conditioning_scale": 1.3,
    "scheduler": "DDIM",
    "url": "Hello, World"
  },
  "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]",
  "output": [
    "https://replicate.delivery/pbxt/SFZnhwaRO1rVCNNPYSpEL0LyBa4fsMjXKqbHfV4A0XBffQpFB/seed-6400.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-08-15T14:55:56.91852Z",
  "started_at": "2023-08-15T14:55:56.881459Z",
  "completed_at": "2023-08-15T14:55:59.96709Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/5kwt3pzbmuf22gkjlo73sweelu/cancel",
    "get": "https://api.replicate.com/v1/predictions/5kwt3pzbmuf22gkjlo73sweelu"
  },
  "metrics": {
    "predict_time": 3.085631,
    "total_time": 3.04857
  }
}

Generated in

3.1 seconds

Tweak it Report