129 lines
4.4 KiB
Python
129 lines
4.4 KiB
Python
import os
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import sys
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import json
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import folder_paths
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sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(__file__)), "comfy"))
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class SaveImageARGB16PNG:
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"""
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A custom node for saving images in ARGB16 PNG format.
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This node saves images with high-quality 16-bit precision and supports metadata embedding.
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"""
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def __init__(self):
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"""
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Initializes the SaveImageARGB16PNG class.
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Attempts to import the Pillow library for image handling. Sets up default parameters
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like output directory and compression level.
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Raises:
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ImportError: If the Pillow library is not installed.
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"""
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try:
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from PIL import Image
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self.Image = Image
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except ImportError:
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raise ImportError("Pillow module not found. Please install it to save PNG images.")
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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.compress_level = 0
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@classmethod
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def INPUT_TYPES(cls):
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"""
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Defines the input types required by the node.
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Returns:
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dict: A dictionary containing required and hidden inputs for the node.
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"""
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return {
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"required": {
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"images": ("IMAGE",),
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"filename_prefix": ("STRING", {"default": "ComfyUI"})
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},
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"hidden": {
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"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"
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},
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}
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RETURN_TYPES = () # Specifies the return type of the node.
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FUNCTION = "savepng" # Defines the main function to execute.
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OUTPUT_NODE = True # Indicates this is an output node.
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CATEGORY = "image" # Specifies the category of the node.
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def savepng(self, images, filename_prefix="ComfyUI", prompt=None, extra_pnginfo=None):
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"""
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Saves images in ARGB16 PNG format with optional metadata.
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Args:
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images (list): List of image tensors to be saved.
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filename_prefix (str): Prefix for the output filenames.
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prompt (str, optional): Metadata prompt to embed in the PNG files.
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extra_pnginfo (dict, optional): Additional metadata as key-value pairs to embed in the PNG files.
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Returns:
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dict: A dictionary with UI-compatible information about the saved images.
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"""
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import numpy as np
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import os
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import re
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from PIL.PngImagePlugin import PngInfo
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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 = []
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for batch_number, image in enumerate(images):
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# Convert the image tensor to a numpy array and scale to 16-bit range.
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image_np = image.cpu().numpy()
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image_np = (image_np * 65535).astype(np.uint16)
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# Determine the image mode based on the number of channels.
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if image_np.shape[-1] == 4:
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mode = "RGBA"
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else:
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mode = "RGB"
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# Create a PIL Image object.
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image_pil = self.Image.fromarray(image_np, mode=mode)
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# Add metadata to the PNG if provided.
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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 x in extra_pnginfo:
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metadata.add_text(x, json.dumps(extra_pnginfo[x]))
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# Generate the output filename.
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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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# Save the image with metadata and specified compression level.
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image_pil.save(os.path.join(full_output_folder, file), format="PNG", compress_level=self.compress_level, pnginfo=metadata)
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# Append file information to the results.
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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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NODE_CLASS_MAPPINGS = {
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"SaveImageARGB16PNG": SaveImageARGB16PNG
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"SaveImageARGB16PNG": "SaveImageARGB16PNG"
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}
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