64 lines
1.9 KiB
Python
64 lines
1.9 KiB
Python
import os
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import json
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import numpy as np
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from PIL import Image, PngInfo
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from comfy.cli_args import args
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class DataSet_SaveImage:
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def __init__(self):
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self.compression = 4
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"Images": ("IMAGE",),
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"ImageFilePrefix": ("STRING", {"default": "Image"}),
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"destination": ("STRING", {}),
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},
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"hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
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}
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RETURN_TYPES = ()
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FUNCTION = "BatchSave"
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OUTPUT_NODE = True
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CATEGORY = "🔶DATASET🔶"
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def BatchSave(self, Images, ImageFilePrefix, destination, prompt=None, extra_pnginfo=None):
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try:
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Directory = destination
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if not os.path.exists(Directory):
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os.makedirs(Directory)
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for i, image in enumerate(Images):
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image = image.cpu().numpy()
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image = (image * 255).astype(np.uint8)
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img = Image.fromarray(image)
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metadata = None
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if not args.disable_metadata:
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metadata = PngInfo()
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if prompt is not None:
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metadata.add_text("prompt", json.dumps(prompt))
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if extra_pnginfo is not None:
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for key, value in extra_pnginfo.items():
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metadata.add_text(key, json.dumps(value))
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filename = f"{ImageFilePrefix}_{str(i).zfill(4)}.png"
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file_path = os.path.join(Directory, filename)
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img.save(file_path, pnginfo=metadata, compress_level=self.compression)
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except Exception as e:
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print(f"Error saving image: {e}")
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return ()
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N_CLASS_MAPPINGS = {
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"DataSet_SaveImage": DataSet_SaveImage,
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}
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N_DISPLAY_NAME_MAPPINGS = {
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"DataSet_SaveImage": "DataSet_SaveImage",
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}
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