convert stable diffusion .png images to .jpeg while retaining metadata

convert.py

from PIL import Image
from PIL.ExifTags import TAGS
import os

SOURCE_DIR = r'C:\Users\jerem\ai\stable-diffusion-webui_working\outputs'
DESTINATION_DIR = r'C:\Users\jerem\ai\converted2'

def find_png_files(directory):
    """Returns a list of full filenames for all .png files in a directory, including subdirectories."""
    png_files = []
    for root, dirs, files in os.walk(directory):
        for file in files:
            if file.endswith('.png'):
                png_files.append(os.path.join(root, file))
    return png_files

images_completed = 0
all_images = find_png_files(SOURCE_DIR)
print("{} images found".format(len(all_images)))

for filename in all_images:
    print("{}%".format(images_completed / len(all_images) * 100))
    png_image = Image.open(filename)
    png_metadata = png_image.info

    jpeg_image = Image.new('RGB', png_image.size)
    jpeg_image.putdata(list(png_image.getdata()))
    
    exif = jpeg_image.getexif()
    exif[0x9286] = str(png_metadata)

    output_filepath = os.path.join(DESTINATION_DIR, os.path.basename(filename)[:-4])
    if os.path.exists(output_filepath):
        #append the current unix timestamp to the filename
        output_filepath += '_' + str(os.path.getmtime(filename))
    jpeg_image.save(output_filepath + '.jpeg', exif=exif)
    images_completed += 1