jagilley/controlnet-hed:5e2c8a40 | Run with an API on Replicate

Version

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jagilley /controlnet-hed:5e2c8a40

Playground API

Input

input_image

*file

Input image

prompt

*string

Shift + Return to add a new line

Prompt for the model

num_samples

integer

Number of samples

Default: 1

image_resolution

integer

Image resolution

Default: 512

ddim_steps

integer

Steps

Default: 20

scale

number

Guidance Scale

Default: 9

seed

integer

Seed

Default: 0

eta

number

eta (DDIM)

Default: 0

a_prompt

string

Shift + Return to add a new line

Added Prompt

Default: "best quality, extremely detailed"

n_prompt

string

Shift + Return to add a new line

longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low qualitylongbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality

Negative Prompt

Default: "longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality"

detect_resolution

integer

(minimum: 128, maximum: 1024)

Resolution for detection (only applicable when model type is 'HED')

Default: 512

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

npx create-replicate --model=jagilley/controlnet-hed

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 jagilley/controlnet-hed using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "jagilley/controlnet-hed:5e2c8a40e777677cd5d0101a6b5c0912504860409704b3e56ef0e2b0e51ed69e",
  {
    input: {
      eta: 0,
      seed: 0,
      scale: 9,
      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",
      ddim_steps: 20,
      num_samples: 1,
      image_resolution: 512,
      detect_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

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 jagilley/controlnet-hed using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jagilley/controlnet-hed:5e2c8a40e777677cd5d0101a6b5c0912504860409704b3e56ef0e2b0e51ed69e",
    input={
        "eta": 0,
        "seed": 0,
        "scale": 9,
        "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",
        "ddim_steps": 20,
        "num_samples": 1,
        "image_resolution": 512,
        "detect_resolution": 512
    }
)

# 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=<paste-your-token-here>

Find your API token in your account settings.

Run jagilley/controlnet-hed 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": "jagilley/controlnet-hed:5e2c8a40e777677cd5d0101a6b5c0912504860409704b3e56ef0e2b0e51ed69e",
    "input": {
      "eta": 0,
      "seed": 0,
      "scale": 9,
      "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",
      "ddim_steps": 20,
      "num_samples": 1,
      "image_resolution": 512,
      "detect_resolution": 512
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

No output yet! Press "Submit" to start a prediction.