Vaibhav Singh veb-101

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	import os

	# This guide can only be run with the jax backend.
	os.environ["KERAS_BACKEND"] = "jax"

	from typing import Union
	import keras
	import keras.ops as kops
	from keras import Model, Input, Layer

	import os
	import gc
	import cv2
	import glob
	import shutil
	import random
	import numpy as np
	import matplotlib.pyplot as plt
	from tqdm import tqdm

	"""
	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

	"""
	Usage:

	# Create train data:
	python generate_tfrecord.py - --csv_input = <PATH_TO_ANNOTATIONS_FOLDER > /train_labels.csv - -output_path = <PATH_TO_ANNOTATIONS_FOLDER > /train.record

	# Create test data:
	python generate_tfrecord.py - --csv_input = <PATH_TO_ANNOTATIONS_FOLDER > /test_labels.csv - -output_path = <PATH_TO_ANNOTATIONS_FOLDER > /test.record
	"""