rossjillian / controlnet_1-1

image
scale: 9
steps: 20
prompt: a photo of a brightly colored turtle
a_prompt: Best quality, extremely detailed
n_prompt: Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality
structure: scribble
num_samples: 1
low_threshold: 100
high_threshold: 200
image_resolution: 512

{
  "image": "https://replicate.delivery/pbxt/IfYcADnrquHyFiJaLur1fgv6P4ZxKUyGgpuEWPamUAlF1VQI/user_1.png",
  "scale": 9,
  "steps": 20,
  "prompt": "a photo of a brightly colored turtle",
  "a_prompt": "Best quality, extremely detailed",
  "n_prompt": "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
  "structure": "scribble",
  "num_samples": "1",
  "low_threshold": 100,
  "high_threshold": 200,
  "image_resolution": "512"
}

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 rossjillian/controlnet_1-1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "rossjillian/controlnet_1-1:bc5c323ec65c090856ad3bc6da609b5b47d7ede9c367b1f17c372d7563bd0218",
  {
    input: {
      image: "https://replicate.delivery/pbxt/IfYcADnrquHyFiJaLur1fgv6P4ZxKUyGgpuEWPamUAlF1VQI/user_1.png",
      scale: 9,
      steps: 20,
      prompt: "a photo of a brightly colored turtle",
      a_prompt: "Best quality, extremely detailed",
      n_prompt: "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
      structure: "scribble",
      num_samples: "1",
      low_threshold: 100,
      high_threshold: 200,
      image_resolution: "512"
    }
  }
);

// 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 rossjillian/controlnet_1-1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "rossjillian/controlnet_1-1:bc5c323ec65c090856ad3bc6da609b5b47d7ede9c367b1f17c372d7563bd0218",
    input={
        "image": "https://replicate.delivery/pbxt/IfYcADnrquHyFiJaLur1fgv6P4ZxKUyGgpuEWPamUAlF1VQI/user_1.png",
        "scale": 9,
        "steps": 20,
        "prompt": "a photo of a brightly colored turtle",
        "a_prompt": "Best quality, extremely detailed",
        "n_prompt": "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
        "structure": "scribble",
        "num_samples": "1",
        "low_threshold": 100,
        "high_threshold": 200,
        "image_resolution": "512"
    }
)
print(output)

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

Run rossjillian/controlnet_1-1 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": "rossjillian/controlnet_1-1:bc5c323ec65c090856ad3bc6da609b5b47d7ede9c367b1f17c372d7563bd0218",
    "input": {
      "image": "https://replicate.delivery/pbxt/IfYcADnrquHyFiJaLur1fgv6P4ZxKUyGgpuEWPamUAlF1VQI/user_1.png",
      "scale": 9,
      "steps": 20,
      "prompt": "a photo of a brightly colored turtle",
      "a_prompt": "Best quality, extremely detailed",
      "n_prompt": "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
      "structure": "scribble",
      "num_samples": "1",
      "low_threshold": 100,
      "high_threshold": 200,
      "image_resolution": "512"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

3.3 seconds

Tweak it Share Report

Prediction

rossjillian/controlnet_1-1:bc5c323ec65c090856ad3bc6da609b5b47d7ede9c367b1f17c372d7563bd0218

Model

rossjillian/controlnet_1-1:bc5c323e

zikhl4ldcvfqjdwhwoku6raxfe

Status

Succeeded

Source

Web

Hardware

–

Total duration

4.2s

Created

about 2 years ago

Input

image
scale: 9
steps: 20
prompt: a modernist house in a nice landscape
a_prompt: Best quality, extremely detailed
n_prompt: Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality
structure: seg
num_samples: 1
low_threshold: 100
high_threshold: 200
image_resolution: 512

{
  "image": "https://replicate.delivery/pbxt/IfYdW0q5YMRU1djC3KhGk9H59v8Qns8jkP6bN5DDAxZmEMMD/house.png",
  "scale": 9,
  "steps": 20,
  "prompt": "a modernist house in a nice landscape",
  "a_prompt": "Best quality, extremely detailed",
  "n_prompt": "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
  "structure": "seg",
  "num_samples": "1",
  "low_threshold": 100,
  "high_threshold": 200,
  "image_resolution": "512"
}

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 rossjillian/controlnet_1-1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "rossjillian/controlnet_1-1:bc5c323ec65c090856ad3bc6da609b5b47d7ede9c367b1f17c372d7563bd0218",
  {
    input: {
      image: "https://replicate.delivery/pbxt/IfYdW0q5YMRU1djC3KhGk9H59v8Qns8jkP6bN5DDAxZmEMMD/house.png",
      scale: 9,
      steps: 20,
      prompt: "a modernist house in a nice landscape",
      a_prompt: "Best quality, extremely detailed",
      n_prompt: "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
      structure: "seg",
      num_samples: "1",
      low_threshold: 100,
      high_threshold: 200,
      image_resolution: "512"
    }
  }
);

// 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 rossjillian/controlnet_1-1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "rossjillian/controlnet_1-1:bc5c323ec65c090856ad3bc6da609b5b47d7ede9c367b1f17c372d7563bd0218",
    input={
        "image": "https://replicate.delivery/pbxt/IfYdW0q5YMRU1djC3KhGk9H59v8Qns8jkP6bN5DDAxZmEMMD/house.png",
        "scale": 9,
        "steps": 20,
        "prompt": "a modernist house in a nice landscape",
        "a_prompt": "Best quality, extremely detailed",
        "n_prompt": "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
        "structure": "seg",
        "num_samples": "1",
        "low_threshold": 100,
        "high_threshold": 200,
        "image_resolution": "512"
    }
)
print(output)

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

Run rossjillian/controlnet_1-1 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": "rossjillian/controlnet_1-1:bc5c323ec65c090856ad3bc6da609b5b47d7ede9c367b1f17c372d7563bd0218",
    "input": {
      "image": "https://replicate.delivery/pbxt/IfYdW0q5YMRU1djC3KhGk9H59v8Qns8jkP6bN5DDAxZmEMMD/house.png",
      "scale": 9,
      "steps": 20,
      "prompt": "a modernist house in a nice landscape",
      "a_prompt": "Best quality, extremely detailed",
      "n_prompt": "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
      "structure": "seg",
      "num_samples": "1",
      "low_threshold": 100,
      "high_threshold": 200,
      "image_resolution": "512"
    }
  }' \
  https://api.replicate.com/v1/predictions

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