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

karpathy

"""
stable diffusion dreaming
creates hypnotic moving videos by smoothly walking randomly through the sample space

example way to run this script:

$ python stablediffusionwalk.py --prompt "blueberry spaghetti" --name blueberry

to stitch together the images, e.g.:
$ ffmpeg -r 10 -f image2 -s 512x512 -i blueberry/frame%06d.jpg -vcodec libx264 -crf 10 -pix_fmt yuv420p blueberry.mp4

tvst

"""Hack to add per-session state to Streamlit.

Usage
-----

>>> import SessionState
>>>
>>> session_state = SessionState.get(user_name='', favorite_color='black')
>>> session_state.user_name
''

lostsh

Including iframe of an github (gists) embled script

So for include a github embled iframe into an iframe You may use hex code

see this exemple :
The github embled link : <script src="https://gist.github.com/lostsh/dfb8a51aeb3ad5d7e3cefbc66d72fa53.js"></script> and ths iframe who contain this embled :

alper111

import torch
import torchvision

class VGGPerceptualLoss(torch.nn.Module):
    def __init__(self, resize=True):
        super(VGGPerceptualLoss, self).__init__()
        blocks = []
        blocks.append(torchvision.models.vgg16(pretrained=True).features[:4].eval())
        blocks.append(torchvision.models.vgg16(pretrained=True).features[4:9].eval())
        blocks.append(torchvision.models.vgg16(pretrained=True).features[9:16].eval())

BIGBALLON

#!/bin/bash
#
# script to extract ImageNet dataset
# ILSVRC2012_img_train.tar (about 138 GB)
# ILSVRC2012_img_val.tar (about 6.3 GB)
# make sure ILSVRC2012_img_train.tar & ILSVRC2012_img_val.tar in your current directory
#
#  https://github.com/facebook/fb.resnet.torch/blob/master/INSTALL.md
# 
#  train/

noygal

Windows 10 version 2004 - Installing Node.js on Windows Subsystem for Linux (WSL/WSL2)

UPDATE (Fall 2020): This gist is an updated version to the Windows 10 Fall Creators Update - Installing Node.js on Windows Subsystem for Linux (WSL) guide, I usually just keep here notes, configuration or short guides for personal use, it was nice to know it also helps other ppl, I hope this one too.

Windows updated windows subsystem for linux to version 2, as the F.A.Q stated you can still use WSL version 1 side by side with version 2. I'm not sure about existing WSL machines surviving the upgrade process, but as always backup and 🤞. NOTE: WSL version 1 is not replace/deprecated, and there ar

rohitrawat

#deb cdrom:[Ubuntu 16.04.2 LTS _Xenial Xerus_ - Release amd64 (20170215.2)]/ xenial main restricted

# See http://help.ubuntu.com/community/UpgradeNotes for how to upgrade to
# newer versions of the distribution.
deb http://us.archive.ubuntu.com/ubuntu/ xenial main restricted
# deb-src http://us.archive.ubuntu.com/ubuntu/ xenial main restricted

## Major bug fix updates produced after the final release of the
## distribution.
deb http://us.archive.ubuntu.com/ubuntu/ xenial-updates main restricted

daredude

@echo off
FOR /f "tokens=*" %%i IN ('docker ps -aq') DO docker rm %%i
FOR /f "tokens=*" %%i IN ('docker images --format "{{.ID}}"') DO docker rmi %%i

subfuzion

Common Options

-#, --progress-bar Make curl display a simple progress bar instead of the more informational standard meter.

-b, --cookie <name=data> Supply cookie with request. If no =, then specifies the cookie file to use (see -c).

-c, --cookie-jar <file name> File to save response cookies to.