108 lines
3.7 KiB
Python
108 lines
3.7 KiB
Python
import os
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import sys
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import folder_paths
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import numpy as np
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import re
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import tempfile
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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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def __init__(self):
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try:
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import OpenEXR
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import Imath
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self.OpenEXR = OpenEXR
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self.Imath = Imath
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self.use_openexr = True
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print("AARON: Using OpenEXR!")
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except ImportError:
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print("No OpenEXR module found, trying OpenCV...")
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self.use_openexr = False
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try:
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os.environ["OPENCV_IO_ENABLE_OPENEXR"] = "1"
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import cv2
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self.cv2 = cv2
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except ImportError:
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raise ImportError("No OpenEXR or OpenCV module found, can't save EXR")
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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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@classmethod
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def INPUT_TYPES(s):
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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_EXR", "tooltip": "The prefix for the file to save. This may include formatting information such as %date:yyyy-MM-dd% or %Empty Latent Image.width% to include values from nodes."})
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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 = ()
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FUNCTION = "save_images_exr"
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OUTPUT_NODE = True
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CATEGORY = "image"
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DESCRIPTION = "Saves the input images as EXR files in your ComfyUI output directory."
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def save_images_exr(self, images, filename_prefix="ComfyUI_EXR", prompt=None, extra_pnginfo=None):
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from io import BytesIO
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from PIL import Image
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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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def file_counter():
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max_counter = 0
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for existing_file in os.listdir(full_output_folder):
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match = re.fullmatch(f"{filename}_(\d+)_?\.[a-zA-Z0-9]+", existing_file)
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if match:
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file_counter = int(match.group(1))
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if file_counter > max_counter:
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max_counter = file_counter
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return max_counter
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for (batch_number, image) in enumerate(images):
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image_np = image.cpu().numpy()
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image_np = image_np.astype(np.float32)
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counter = file_counter() + 1
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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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# Convert image to RGBA16 PNG and save using OpenCV
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image_rgba16 = (image_np * 65535).astype('uint16')
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rgba_image = self.cv2.merge((
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image_rgba16[:, :, 0],
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image_rgba16[:, :, 1],
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image_rgba16[:, :, 2],
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(image_rgba16[:, :, 0] * 0).astype('uint16') + 65535
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)) # Add alpha channel with max value
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self.cv2.imwrite(os.path.join(full_output_folder, file), rgba_image)
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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": "Save Image RGBA 16 PNG",
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}
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