trygvebw

import torch
import numpy as np
import k_diffusion as K

from PIL import Image
from torch import autocast
from einops import rearrange, repeat

def pil_img_to_torch(pil_img, half=False):
    image = np.array(pil_img).astype(np.float32) / 255.0

Misairu-G

Reddit post (Archived)

Table of Content

• What to expect?
  • Some TLDR about the idea behind
• Prerequisites
  • Hardware
  • System & Software
• Update: Attention for MUXless laptop

ericvanjohnson

" To get a list of Actions run `:actionlist `
" let mapleader = ','
" let mapleader = " "
let mapleader = "\<SPACE>"

set ignorecase smartcase
set NERDTree
set hlsearch
set showmode
set scrolloff=5