josephrocca

# on local machine
git clone https://github.com/comfyanonymous/ComfyUI
cd ComfyUI/custom_nodes
git clone https://github.com/ltdrdata/ComfyUI-Manager.git
cd ../

# start docker
docker run --name comfyui -p 8188:8188 -it --rm --gpus all -v $PWD:/workspace pytorch/pytorch:2.2.1-cuda12.1-cudnn8-devel bash
apt-get update
apt-get install wget git libgl1 libglib2.0-0 -y

josephrocca

// Code mostly written by GPT-4. Works well for me, but not extensively tested (e.g. on old or weird jpeg files)
function removeExifFromJpeg(arrayBuffer) {
  let view = new DataView(arrayBuffer);

  // Check if it's a JPEG file
  if (view.getUint16(0, false) !== 0xFFD8) {
    throw new Error("Not a valid JPEG");
  }

  let position = 2; // Start after the SOI marker

josephrocca

// See the comments at the end for a model that does much better than e5-large-v2 while being a third of the size.

let { pipeline } = await import('https://cdn.jsdelivr.net/npm/@xenova/transformers@2.7.0');
let extractor = await pipeline('feature-extraction', 'Xenova/e5-large-v2');

// Note: If you're just comparing "passages" with one another, then just prepend "passage: " to all texts. Only use "query: " if the text is a short "search query" like in the above example.
let passage1 = await extractor(`passage: The Shawshank Redemption is a true masterpiece of cinema.`, { pooling: 'mean', normalize: true });
let passage2 = await extractor(`passage: The film should not be exposed to sunlight when removing it from the wrapper. Otherwise your movie will come out bad.`, { pooling: 'mean', normalize: true });
let query = await extractor(`query: movie review`, { pooling: 'mean', normalize: true });

josephrocca

// This is a version of this file: https://w3c.github.io/webcodecs/samples/capture-to-file/webm-writer2.js
// With these fixed applied: https://github.com/w3c/webcodecs/issues/332#issuecomment-1077442192

/**
 * A tool for presenting an ArrayBuffer as a stream for writing some simple data
 * types.
 *
 * By Nicholas Sherlock, with updates from jimbankoski
 *
 * - make it work off frames with timestamps from webcodecs

josephrocca

function createCanvasFromRGBAData(data, width, height) {
  // `data` should look something like [[123,32,40,255], [3,233,42,120], ...]
  if(width*height !== data.length) throw new Error("width*height should equal data.length");
  let canvas = document.createElement("canvas");
  canvas.width = width;
  canvas.height = height;
  let ctx = canvas.getContext("2d");
  let imgData = ctx.createImageData(width, height);
  for(let i = 0; i < data.length; i++) {
    imgData.data[i*4+0] = data[i][0];

josephrocca

josephrocca

josephrocca

import * as AWS from "./aws_sdk_client_s3_v3.198.0-es.js";

let s3 = new AWS.S3({
  region: "YOUR_REGION",
  endpoint: "YOUR_ENDPOINT_URL_IF_NECCESSARY",
  credentials: {
    accessKeyId: "YOUR_ACCESS_KEY",
    secretAccessKey: "YOUR_SECRET",
  },
});

josephrocca

josephrocca