mirror of
https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
synced 2024-06-07 21:20:49 +00:00
123 lines
4.2 KiB
Python
123 lines
4.2 KiB
Python
import os
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from PIL import Image, ImageOps
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import platform
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import sys
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import tqdm
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import time
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from modules import shared, images
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from modules.shared import opts, cmd_opts
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if cmd_opts.deepdanbooru:
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import modules.deepbooru as deepbooru
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def preprocess(process_src, process_dst, process_flip, process_split, process_caption, process_caption_deepbooru=False):
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size = 512
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src = os.path.abspath(process_src)
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dst = os.path.abspath(process_dst)
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assert src != dst, 'same directory specified as source and destination'
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os.makedirs(dst, exist_ok=True)
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files = os.listdir(src)
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shared.state.textinfo = "Preprocessing..."
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shared.state.job_count = len(files)
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if process_caption:
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shared.interrogator.load()
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if process_caption_deepbooru:
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deepbooru.create_deepbooru_process()
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def save_pic_with_caption(image, index):
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if process_caption:
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caption = "-" + shared.interrogator.generate_caption(image)
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caption = sanitize_caption(os.path.join(dst, f"{index:05}-{subindex[0]}"), caption, ".png")
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elif process_caption_deepbooru:
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shared.deepbooru_process_return["value"] = -1
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shared.deepbooru_process_queue.put(image)
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while shared.deepbooru_process_return["value"] == -1:
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time.sleep(0.2)
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caption = "-" + shared.deepbooru_process_return["value"]
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caption = sanitize_caption(os.path.join(dst, f"{index:05}-{subindex[0]}"), caption, ".png")
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shared.deepbooru_process_return["value"] = -1
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else:
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caption = filename
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caption = os.path.splitext(caption)[0]
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caption = os.path.basename(caption)
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image.save(os.path.join(dst, f"{index:05}-{subindex[0]}{caption}.png"))
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subindex[0] += 1
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def save_pic(image, index):
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save_pic_with_caption(image, index)
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if process_flip:
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save_pic_with_caption(ImageOps.mirror(image), index)
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for index, imagefile in enumerate(tqdm.tqdm(files)):
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subindex = [0]
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filename = os.path.join(src, imagefile)
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img = Image.open(filename).convert("RGB")
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if shared.state.interrupted:
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break
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ratio = img.height / img.width
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is_tall = ratio > 1.35
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is_wide = ratio < 1 / 1.35
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if process_split and is_tall:
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img = img.resize((size, size * img.height // img.width))
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top = img.crop((0, 0, size, size))
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save_pic(top, index)
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bot = img.crop((0, img.height - size, size, img.height))
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save_pic(bot, index)
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elif process_split and is_wide:
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img = img.resize((size * img.width // img.height, size))
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left = img.crop((0, 0, size, size))
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save_pic(left, index)
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right = img.crop((img.width - size, 0, img.width, size))
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save_pic(right, index)
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else:
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img = images.resize_image(1, img, size, size)
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save_pic(img, index)
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shared.state.nextjob()
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if process_caption:
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shared.interrogator.send_blip_to_ram()
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if process_caption_deepbooru:
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deepbooru.release_process()
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def sanitize_caption(base_path, original_caption, suffix):
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operating_system = platform.system().lower()
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if (operating_system == "windows"):
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invalid_path_characters = "\\/:*?\"<>|"
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max_path_length = 259
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else:
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invalid_path_characters = "/" #linux/macos
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max_path_length = 1023
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caption = original_caption
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for invalid_character in invalid_path_characters:
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caption = caption.replace(invalid_character, "")
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fixed_path_length = len(base_path) + len(suffix)
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if fixed_path_length + len(caption) <= max_path_length:
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return caption
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caption_tokens = caption.split()
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new_caption = ""
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for token in caption_tokens:
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last_caption = new_caption
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new_caption = new_caption + token + " "
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if (len(new_caption) + fixed_path_length - 1 > max_path_length):
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break
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print(f"\nPath will be too long. Truncated caption: {original_caption}\nto: {last_caption}", file=sys.stderr)
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return last_caption.strip()
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