twobob’s gists

twobob / gist:68d8a55b2bf4a577c8afb431fb145f60

Created October 12, 2022 22:40

Downloading files and ckpt from Kaggle, minimal hassle

	! pip install kaggle
	! mkdir ~/.kaggle
	!cp /content/drive/MyDrive/kaggle.json ~/.kaggle/kaggle.json

	# AN INDIVIDUAL .ckpt FILE

	LINK='omgsupportteam/dd-tb-fine-22-10-11-22-42-36'
	FILENAME = 'last.ckpt'
	! kaggle datasets download $LINK -f $FILENAME

twobob / left.py

Created October 8, 2022 01:45

print how long you have left in your daily colab session. Naive counter

	import sys, json
	from dateutil.parser import parse
	from datetime import datetime, timezone, timedelta
	with open("/var/colab/app.log", 'r') as fileData:
	for textline in fileData:
	if " started" in textline:
	time = parse (json.loads(textline)['time'])
	now = datetime.now(time.tzinfo)
	later = time + timedelta(hours=4)
	print(now-time, "session started")

twobob / gist:f36342b286006c3830409387d88cc482

Created October 5, 2022 17:58

pruning code. Dance diffusion All props to Waifu

	import torch
	def prune_it(p):
	print(f"prunin' in path: {p}")
	size_initial = os.path.getsize(p)
	nsd = dict()
	sd = torch.load(p, map_location="cpu")
	print(sd.keys())
	for k in sd.keys():
	if k != "optimizer_states":
	nsd[k] = sd[k]

twobob / gist:cd55e1b9145f90b7d3c9537f338804a2

Created October 5, 2022 17:52

zip up training demos for Dance Diffusion

	NAMEZIP = f"/content/drive/MyDrive/AI/models/DanceDiffusion/finetune/{NAME}/{NAME}_zipped_demos.7z"
	!7z a -t7z $NAMEZIP /content/sample-generator/*.wav

twobob / colab.py

Created September 21, 2022 01:12

3 lines to create a shareable gz for a folder of wavs in colab

	!rsync -a /content/drive/MyDrive/PathToSamples/ /content/Temp
	!tar -zcf /content/normalized.gz /content/Temp
	!cp /content/normalized.gz /content/drive/MyDrive/PathForZip/normalized.gz

twobob / example_image_utils.py

Created August 31, 2022 12:02 — forked from pojda/example_image_utils.py

Layer on top of Python Imaging Library (PIL) to write text in images easily

	#!/usr/bin/env python
	# coding: utf-8

	# You need PIL <http://www.pythonware.com/products/pil/> to run this script
	# Download unifont.ttf from <http://unifoundry.com/unifont.html> (or use
	# any TTF you have)
	# Copyright 2011 Álvaro Justen [alvarojusten at gmail dot com]
	# License: GPL <http://www.gnu.org/copyleft/gpl.html>

	from image_utils import ImageText

twobob / example_image_utils.py

Created August 31, 2022 12:01 — forked from turicas/example_image_utils.py

Layer on top of Python Imaging Library (PIL) to write text in images easily

	#!/usr/bin/env python
	# coding: utf-8

	# You need PIL <http://www.pythonware.com/products/pil/> to run this script
	# Download unifont.ttf from <http://unifoundry.com/unifont.html> (or use
	# any TTF you have)
	# Copyright 2011 Álvaro Justen [alvarojusten at gmail dot com]
	# License: GPL <http://www.gnu.org/copyleft/gpl.html>

	from image_utils import ImageText

twobob / gist:99ae60051dada52e87c32939eefd60f4

Created August 24, 2022 13:18

Archviz Steps prompt

	Award Winning detailed, archviz style, extreme detail,The inside of a monument designed by Friedensreich Hundertwasser and Antonin Gaudi, octane render, warm colour scheme, white, cinematic, scenery, high detail, high quality, close up angle, people walking

	Width was set to 832
	Height was 512

twobob / gist:9e0447a0a6a9dd6c19f6de20b8778994

Created August 23, 2022 18:35

Full prompt

beautiful oil painting of tracer from the game overwatch in the style of delphin enjolras, standing alone in grassy field, smiling while the sun shines down, feminine face, light rays, radiant quality, 4 k, brush strokes, beautiful eyes, peaceful atmosphere, artstation, heavenly glow, tracer overwatch, tracer face, detailed face, smiling, tracer vizor

twobob / diff.py

Last active July 29, 2023 19:43

Amendment to the stable diffusion notebook to do titling and generate /n/ images

	from PIL import Image
	from PIL import ImageFont
	from PIL import ImageDraw
	import math
	#Self contain this for easy single clicking
	from PIL import Image
	def image_grid(imgs, rows, cols):
	#assert len(imgs) == rows*cols
	w, h = imgs[0].size
	grid = Image.new('RGB', size=(colsw, rowsh))

_ twobob