comfyui
v0.1.0
Published
run comfyui nodes on node.js
Downloads
57
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Readme
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
Table of contents
Getting Started
Installation
BEFORE YOU INSTALL: please read the prerequisites
To install and set up the library, run:
$ npm install -S comfyui
Or if you prefer using Yarn:
$ yarn add comfyui
Usage
API
Example:
below code is generated by cli
txt2img
import { NodeComfyui } from "comfyui";
async function run() {
const nodeComfyui = new NodeComfyui({
serverAddress: "http://127.0.0.1:8188",
});
const nodeExecutor = await nodeComfyui.prepare();
const pipeline = nodeExecutor.pipeline;
// i am title
const emptyLatentImage = pipeline.EmptyLatentImage({
width: 512,
height: 512,
batch_size: 1,
});
const checkpointLoaderSimple = pipeline.CheckpointLoaderSimple({
ckpt_name: "v1-5-pruned-emaonly.ckpt",
});
const clipTextEncode = pipeline.CLIPTextEncode({
text: "beautiful scenery nature glass bottle landscape, , purple galaxy bottle,",
clip: checkpointLoaderSimple.clip,
});
const clipTextEncode1 = pipeline.CLIPTextEncode({
text: "text, watermark",
clip: checkpointLoaderSimple.clip,
});
const kSampler = pipeline.KSampler({
seed: 156680208700286,
steps: 20,
cfg: 8,
sampler_name: "euler",
scheduler: "normal",
denoise: 1,
model: checkpointLoaderSimple.model,
positive: clipTextEncode.conditioning,
negative: clipTextEncode1.conditioning,
latent_image: emptyLatentImage.latent,
});
const vaeDecode = pipeline.VAEDecode({
samples: kSampler.latent,
vae: checkpointLoaderSimple.vae,
});
const saveImage = pipeline.SaveImage({
filename_prefix: "ComfyUI",
images: vaeDecode.image,
});
const results = await nodeExecutor.execute();
console.log(results);
nodeComfyui.close();
}
run().catch((reason) => console.error(reason));