Package Exports

comfyui
comfyui/dist/lib/index.js

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (comfyui) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

node-comfyui

Prerequisites

This project requires NodeJS (version 18 or later) and NPM. Node and NPM are really easy to install. To make sure you have them available on your machine, try running the following command.

$ npm -v && node -v
10.2.3
v18.19.0

Project Name

Getting Started

Installation

BEFORE YOU INSTALL: please read the prerequisites

To install and set up the library, run:

$ npm install -S node-comfyui

Or if you prefer using Yarn:

$ yarn add node-comfyui

Usage

API

Example:
below code is generated by cli

txt2img

import { NodeComfyui } from "node-comfyui";

async function run() {
  const nodeComfyui = new NodeComfyui({
    serverAddress: "http://127.0.0.1:8188",
  });
  const node = await nodeComfyui.prepare();

  // i am title
  const emptyLatentImage = await node.EmptyLatentImage({
    width: 512,
    height: 512,
    batch_size: 1,
  });

  const checkpointLoaderSimple = await node.CheckpointLoaderSimple({
    ckpt_name: "v1-5-pruned-emaonly.ckpt",
  });

  const clipTextEncode = await node.CLIPTextEncode({
    text: "beautiful scenery nature glass bottle landscape, , purple galaxy bottle,",
    clip: checkpointLoaderSimple.outputs.CLIP,
  });

  const clipTextEncode1 = await node.CLIPTextEncode({
    text: "text, watermark",
    clip: checkpointLoaderSimple.outputs.CLIP,
  });

  const kSampler = await node.KSampler({
    seed: 156680208700286,
    steps: 20,
    cfg: 8,
    sampler_name: "euler",
    scheduler: "normal",
    denoise: 1,
    model: checkpointLoaderSimple.outputs.MODEL,
    positive: clipTextEncode.outputs.CONDITIONING,
    negative: clipTextEncode1.outputs.CONDITIONING,
    latent_image: emptyLatentImage.outputs.LATENT,
  });

  const vaeDecode = await node.VAEDecode({
    samples: kSampler.outputs.LATENT,
    vae: checkpointLoaderSimple.outputs.VAE,
  });

  const saveImage = await node.SaveImage({
    filename_prefix: "ComfyUI",
    images: vaeDecode.outputs.IMAGE,
  });
}

run().catch((reason) => console.warn(reason));

JSPM

comfyui