127 lines
3.4 KiB
Python
127 lines
3.4 KiB
Python
"""
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@author: jags111
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@title: Jags_VectorMagic
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@nickname: Jags_VectorMagic
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@description: This extension offers various vector manipulation and generation tools
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"""
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import folder_paths
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import torch
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import os
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import sys
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import re
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import nodes
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from typing import Optional
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import comfy
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import numpy as np
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from PIL import Image
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from PIL.PngImagePlugin import PngInfo
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import locale
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from datetime import datetime
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from pathlib import Path
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sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(__file__)), 'comfy'))
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original_locale = locale.setlocale(locale.LC_TIME, '')
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# Node selections
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class color_drop():
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"""
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This node provides a simple interface to apply PixelSort blur to the output image.
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"""
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def __init__(self):
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pass
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@classmethod
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def INPUT_TYPES(cls):
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"""
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Input Types
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"""
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return {
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"required": {
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"images": ("IMAGE",),},
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"optional": {
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"number_of_colors": ("INT", {"default": 2, "min": 1, "max": 4000, "step": 1}),
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},
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}
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RETURN_TYPES = ("IMAGE",)
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RETURN_NAMES = ("Image",)
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FUNCTION = "flatten"
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"""
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CATEGORY = "Jags_vector/SVG"
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def tensor_to_pil(self, img):
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if img is not None:
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i = 255. * img.cpu().numpy().squeeze()
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img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
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return img
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def flatten(self, images, number_of_colors):
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#create empty tensor with the same shape as images
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total_images = []
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for image in images:
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image = self.tensor_to_pil(image)
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image = image.convert('P', palette=Image.ADAPTIVE, colors=number_of_colors)
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# convert to tensor
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out_image = np.array(image.convert("RGB")).astype(np.float32) / 255.0
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out_image = torch.from_numpy(out_image).unsqueeze(0)
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total_images.append(out_image)
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total_images = torch.cat(total_images, 0)
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return (total_images,)
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class SVG ():
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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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@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', ),
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'filename_prefix': ('STRING', {'default': 'myFile'}),
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'image_preview': (['disabled', 'enabled'], {'default': 'enabled'}),
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},
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"optional": {
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""
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},
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'hidden': {''},
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}
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RETURN_TYPES = ("IMAGE",)
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RETURN_NAMES = ("SVG",)
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FUNCTION = "save_images"
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OUTPUT_NODE = True
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CATEGORY = "Jags_vector/SVG"
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def LoadSvg(ImagesPath):
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if isinstance(ImagesPath, str):
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ImagesPath = [ImagesPath]
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images = []
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image_count = 0
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for path in ImagesPath:
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try:
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svg_data = open(path, "rb").read()
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images.append(svg_data)
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image_count += 1
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except Exception as e:
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print(f"Error loading SVG at path {path}: {e}")
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return { "ui": { "images": images } }
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"""
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NODE_CLASS_MAPPINGS = {
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"color_drop": color_drop,
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#"SVG": SVG,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"color_drop": "Jags_Color Drop",
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#"SVG": "Jags_SVG",
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} |