doctorpangloss

{
  "60": {
    "inputs": {
      "filename_prefix": "Qwen_t2i",
      "images": [
        "75:8",
        0
      ]
    },
    "class_type": "SaveImage",

doctorpangloss

{
  "1": {
    "inputs": {
      "value": [
        "2",
        0
      ]
    },
    "class_type": "PreviewString",
    "_meta": {

doctorpangloss

`#!/bin/bash

# This script creates a Dockerfile in the current directory using a heredoc,
# then builds a Docker image to compile a static 'upnpc' binary from the official Git repository,
# and finally exports the binary to a local './output' directory.

# Create the Dockerfile using a heredoc
cat <<EOF > Dockerfile
FROM debian:bookworm AS builder

doctorpangloss

Below is a succinct guide showing how to set up:

1. A uv‑backed virtual environment on Linux
2. A Docker build for ComfyUI
3. RabbitMQ with a KEDA ScaledObject for auto-scaling workers
4. A ComfyUI frontend Deployment and ComfyUI worker StatefulSet

…plus a short Python script using the “queue_and_forget” approach.

---

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# install brew
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
# install python 3.12
brew install python@3.12
# link it
brew link python@3.12
# check that you have python installed and that it's python 3.12
python3 --version
# install UV to get everything working faster
curl -LsSf https://astral.sh/uv/install.sh | sh

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#!/bin/sh
# Install brew
/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
# Apple hides old versions of stuff at https://developer.apple.com/download/more/
# Install the latest XCode (8.0).
#   We used to install the XCode Command Line Tools 7.3 here, but that would just upset the most recent versions of brew.
#   So we're going to install all our brew dependencies first, and then downgrade the tools. You can switch back after
#   you have installed caffe.
# Install CUDA toolkit 8.0 release candidate
#   Register and download from https://developer.nvidia.com/cuda-release-candidate-download

doctorpangloss

import math
import os

import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision.transforms as TT
from PIL import Image
from einops import rearrange
from einops.layers.torch import Rearrange

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apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: containerd-upgrade
  namespace: kube-system
spec:
  selector:
    matchLabels:
      name: containerd-upgrade
  template:

doctorpangloss

using System;
using System.Collections.Generic;
using Grpc.Core;
using UniRx;
using UniRx.Diagnostics;
using UnityEngine;
using System;
using System.Collections.Concurrent;
using System.Threading;
using Cysharp.Threading.Tasks;