115 lines
4.1 KiB
Python
115 lines
4.1 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 ExifTags, Image, PngImagePlugin
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from comfy.cli_args import args
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import folder_paths
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class SaveImage:
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def __init__(self):
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self.output_dir = folder_paths.get_output_directory()
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self.type = "output"
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self.prefix_append = ""
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self.quality = 95 # Default quality for WebP
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self.method = 6 # Compression method for WebP
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self.compress_level = 4 # Default PNG compression level
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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", {"tooltip": "The images to save."}),
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"filename_prefix": ("STRING", {"default": "ComfyUI", "tooltip": "The prefix for the file to save."})
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},
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"optional": {
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"key_1": ("STRING", {"default": "", "tooltip": "Metadata key 1"}),
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"metadata_1": ("STRING", {"default": "", "tooltip": "Metadata value 1"}),
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"key_2": ("STRING", {"default": "", "tooltip": "Metadata key 2"}),
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"metadata_2": ("STRING", {"default": "", "tooltip": "Metadata value 2"}),
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"key_3": ("STRING", {"default": "", "tooltip": "Metadata key 3"}),
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"metadata_3": ("STRING", {"default": "", "tooltip": "Metadata value 3"}),
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"key_4": ("STRING", {"default": "", "tooltip": "Metadata key 4"}),
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"metadata_4": ("STRING", {"default": "", "tooltip": "Metadata value 4"}),
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"key_5": ("STRING", {"default": "", "tooltip": "Metadata key 5"}),
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"metadata_5": ("STRING", {"default": "", "tooltip": "Metadata value 5"}),
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}
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}
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RETURN_TYPES = ()
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FUNCTION = "save_images"
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OUTPUT_NODE = True
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CATEGORY = "image"
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DESCRIPTION = "Saves the input images as PNG or WebP with dynamic metadata key-value pairs."
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def save_images(self, images, filename_prefix="ComfyUI", unique_id=None, **kwargs):
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filename_prefix += self.prefix_append
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full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(
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filename_prefix, self.output_dir, images[0].shape[1], images[0].shape[0]
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)
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results = list()
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# Extract dynamic metadata from kwargs
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dynamic_metadata = {}
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for i in range(1, 6):
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key = kwargs.get(f"key_{i}", "").strip()
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value = kwargs.get(f"metadata_{i}", "").strip()
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if key:
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dynamic_metadata[key] = value
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for batch_number, image in enumerate(images):
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i = 255. * image.cpu().numpy()
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img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
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filename_with_batch_num = filename.replace("%batch_num%", str(batch_number))
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file = f"{filename_with_batch_num}_{counter:05}_.png"
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metadata = None
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if not args.disable_metadata and dynamic_metadata:
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metadata = PngImagePlugin.PngInfo()
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for key, value in dynamic_metadata.items():
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metadata.add_text(key, value)
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img.save(
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os.path.join(full_output_folder, file),
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pnginfo=metadata,
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compress_level=self.compress_level
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)
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results.append({
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"filename": file,
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"subfolder": subfolder,
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"type": self.type
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})
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counter += 1
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return {"ui": {"images": results}}
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class MultilineString:
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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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"text": ("STRING", {"multiline": True, "default": "", "tooltip": "Enter your multiline text here"})
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},
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}
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RETURN_TYPES = ("STRING",)
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FUNCTION = "process_text"
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CATEGORY = "text"
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DESCRIPTION = "Converts multiline text input to string output."
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def process_text(self, text):
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return (text,)
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# Node registration
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NODE_CLASS_MAPPINGS = {
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"SaveImage": SaveImage,
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"Multiline String": MultilineString
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"SaveImage": "Save Image (Selective Metadata)",
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"Multiline String": "Simple Node for Multiline String"
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} |