mikelyndon/controlnet-multi:69d16083 | Run with an API on Replicate

Version

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mikelyndon /controlnet-multi:69d16083

Playground API

Input

prompt

string

Shift + Return to add a new line

Input prompt

Default: "a magpie wearing a tophat"

negative_prompt

string

Shift + Return to add a new line

monochrome, lowres, bad anatomy, worst quality, low qualitymonochrome, lowres, bad anatomy, worst quality, low quality

Specify things to not see in the output

Default: "monochrome, lowres, bad anatomy, worst quality, low quality"

seed

integer

Random seed. Leave blank to randomize the seed

canny

*file

Canny input image

pose

*file

Pose input image

depth

*file

Depth input image

mlsd

*file

MLSD input image

seg

*file

SEG input image

softedge

*file

Soft Edge (hed) input image

canny_weight

number

(minimum: 0, maximum: 1)

A value between 0 and 1 to emphasize the conditioning by the canny edges.

Default: 1

pose_weight

number

(minimum: 0, maximum: 1)

A value between 0 and 1 to emphasize the conditioning by the open pose.

Default: 0

depth_weight

number

(minimum: 0, maximum: 1)

A value between 0 and 1 to emphasize the conditioning by the depth.

Default: 0

mlsd_weight

number

(minimum: 0, maximum: 1)

A value between 0 and 1 to emphasize the conditioning by the mlsd.

Default: 0

seg_weight

number

(minimum: 0, maximum: 1)

A value between 0 and 1 to emphasize the conditioning by the seg.

Default: 0

softedge_weight

number

(minimum: 0, maximum: 1)

A value between 0 and 1 to emphasize the conditioning by the soft edge (hed).

Default: 0

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

npx create-replicate --model=mikelyndon/controlnet-multi

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

const output = await replicate.run(
  "mikelyndon/controlnet-multi:69d16083e38779cdb340f7343a6594611b6b65ffd7715f783eef53b9640268e6",
  {
    input: {
      prompt: "a magpie wearing a tophat",
      seg_weight: 0,
      mlsd_weight: 0,
      pose_weight: 0,
      canny_weight: 1,
      depth_weight: 0,
      negative_prompt: "monochrome, lowres, bad anatomy, worst quality, low quality",
      softedge_weight: 0
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", 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 mikelyndon/controlnet-multi using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "mikelyndon/controlnet-multi:69d16083e38779cdb340f7343a6594611b6b65ffd7715f783eef53b9640268e6",
    input={
        "prompt": "a magpie wearing a tophat",
        "seg_weight": 0,
        "mlsd_weight": 0,
        "pose_weight": 0,
        "canny_weight": 1,
        "depth_weight": 0,
        "negative_prompt": "monochrome, lowres, bad anatomy, worst quality, low quality",
        "softedge_weight": 0
    }
)

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

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.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 mikelyndon/controlnet-multi 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": "mikelyndon/controlnet-multi:69d16083e38779cdb340f7343a6594611b6b65ffd7715f783eef53b9640268e6",
    "input": {
      "prompt": "a magpie wearing a tophat",
      "seg_weight": 0,
      "mlsd_weight": 0,
      "pose_weight": 0,
      "canny_weight": 1,
      "depth_weight": 0,
      "negative_prompt": "monochrome, lowres, bad anatomy, worst quality, low quality",
      "softedge_weight": 0
    }
  }' \
  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.