camenduru/comfyui-ipadapter-latentupscale:cd2b0a19

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camenduru /comfyui-ipadapter-latentupscale:cd2b0a19

Playground API

Input

green_part

*file

Green part

red_part

*file

Red part

black_part

*file

Black part

color_mask

*file

Color Mask

seed

integer

Default: 543543

steps

integer

Default: 30

cfg

number

Default: 7

sampler_name

string

An enumeration.

Default: "dpmpp_2m"

scheduler

string

An enumeration.

Default: "karras"

width

integer

Default: 768

height

integer

Default: 512

image_denoise

number

Default: 1

latent_upscale

boolean

Latent Upscale

Default: false

latent_upscale_size

number

Default: 1.5

latent_upscale_denoise

number

Default: 0.55

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

npx create-replicate --model=camenduru/comfyui-ipadapter-latentupscale

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 camenduru/comfyui-ipadapter-latentupscale using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "camenduru/comfyui-ipadapter-latentupscale:cd2b0a19baad62254a3d5530b8128d80d577be993c5eb931a15ce613cece2df0",
  {
    input: {
      cfg: 7,
      seed: 543543,
      steps: 30,
      width: 768,
      height: 512,
      scheduler: "karras",
      sampler_name: "dpmpp_2m",
      image_denoise: 1,
      latent_upscale: false,
      latent_upscale_size: 1.5,
      latent_upscale_denoise: 0.55
    }
  }
);

// 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 camenduru/comfyui-ipadapter-latentupscale using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "camenduru/comfyui-ipadapter-latentupscale:cd2b0a19baad62254a3d5530b8128d80d577be993c5eb931a15ce613cece2df0",
    input={
        "cfg": 7,
        "seed": 543543,
        "steps": 30,
        "width": 768,
        "height": 512,
        "scheduler": "karras",
        "sampler_name": "dpmpp_2m",
        "image_denoise": 1,
        "latent_upscale": False,
        "latent_upscale_size": 1.5,
        "latent_upscale_denoise": 0.55
    }
)
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 camenduru/comfyui-ipadapter-latentupscale 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": "camenduru/comfyui-ipadapter-latentupscale:cd2b0a19baad62254a3d5530b8128d80d577be993c5eb931a15ce613cece2df0",
    "input": {
      "cfg": 7,
      "seed": 543543,
      "steps": 30,
      "width": 768,
      "height": 512,
      "scheduler": "karras",
      "sampler_name": "dpmpp_2m",
      "image_denoise": 1,
      "latent_upscale": false,
      "latent_upscale_size": 1.5,
      "latent_upscale_denoise": 0.55
    }
  }' \
  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.