adirik/masactrl-sdxl:cb949d99 – Run with an API on Replicate

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adirik /masactrl-sdxl:cb949d99

Playground API

Input

prompt1

*string

Shift + Return to add a new line

Prompt for the first image

prompt2

*string

Shift + Return to add a new line

Prompt for the second image

prompt3

string

Shift + Return to add a new line

Prompt for the third image

prompt4

string

Shift + Return to add a new line

Prompt for the forth image

guidance_scale

number

(minimum: 1, maximum: 50)

Scale for classifier-free guidance

Default: 7.5

num_inference_steps

integer

(minimum: 1, maximum: 100)

Number of denoising steps

Default: 50

masactrl_start_step

integer

(minimum: 1, maximum: 100)

The step to start mutual self-attention control. It should be lower than num_inference_steps

Default: 4

masactrl_start_layer

integer

(minimum: 1, maximum: 70)

The layer to start mutual self-attention control

Default: 44

seed

integer

Random seed.A random seed will be used if not provided.

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

npx create-replicate --model=adirik/masactrl-sdxl

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";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run adirik/masactrl-sdxl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "adirik/masactrl-sdxl:cb949d990cba61f0ecc242912f4305b1780e552f239d21930f4eb24e713bb599",
  {
    input: {
      guidance_scale: 7.5,
      masactrl_start_step: 4,
      num_inference_steps: 50,
      masactrl_start_layer: 44
    }
  }
);

// 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 adirik/masactrl-sdxl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "adirik/masactrl-sdxl:cb949d990cba61f0ecc242912f4305b1780e552f239d21930f4eb24e713bb599",
    input={
        "guidance_scale": 7.5,
        "masactrl_start_step": 4,
        "num_inference_steps": 50,
        "masactrl_start_layer": 44
    }
)
print(output)

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 adirik/masactrl-sdxl 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": "cb949d990cba61f0ecc242912f4305b1780e552f239d21930f4eb24e713bb599",
    "input": {
      "guidance_scale": 7.5,
      "masactrl_start_step": 4,
      "num_inference_steps": 50,
      "masactrl_start_layer": 44
    }
  }' \
  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.