99 lines
3.4 KiB
Python
99 lines
3.4 KiB
Python
import json
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import os
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from tkinter import Image
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from PIL import Image
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from PIL.PngImagePlugin import PngInfo
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import numpy as np
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import folder_paths
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from nodes import LoadImage
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from .apis import FILENAME_FORMAT_INIT_PREFIX_DEFAULT, \
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FILENAME_FORMAT_CONTROLNET_PREFIX_DEFAULT, \
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FILENAME_FORMAT_OUTPUT_PREFIX_DEFAULT
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class ProjectorzInitInput:
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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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"index": ("INT", {"default": 0}),
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"name_prefix": ("STRING", {"default": FILENAME_FORMAT_INIT_PREFIX_DEFAULT}),
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}
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}
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RETURN_TYPES = ("IMAGE", "MASK")
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FUNCTION = "run"
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CATEGORY = "Projectorz"
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def run(self, index, name_prefix):
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loadImage = LoadImage()
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image_name = name_prefix + str(index) + ".png"
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(output_image, output_mask) = loadImage.load_image(image_name)
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image_mask_name = name_prefix + str(index) + "_mask.png"
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(output_image_mask, output_mask_mask) = loadImage.load_image(image_mask_name)
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return (output_image, output_mask_mask)
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class ProjectorzControlnetInput:
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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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"index": ("INT", {"default": 0}),
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"name_prefix": ("STRING", {"default": FILENAME_FORMAT_CONTROLNET_PREFIX_DEFAULT}),
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}
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}
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RETURN_TYPES = ("IMAGE", "MASK")
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FUNCTION = "run"
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CATEGORY = "Projectorz"
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def run(self, index, name_prefix):
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loadImage = LoadImage()
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image_name = name_prefix + str(index) + ".png"
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(output_image, output_mask) = loadImage.load_image(image_name)
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image_mask_name = name_prefix + str(index) + "_mask.png"
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(output_image_mask, output_mask_mask) = loadImage.load_image(image_mask_name)
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return (output_image, output_mask_mask)
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class ProjectorzOutput:
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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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"name_prefix": ("STRING", {"default": FILENAME_FORMAT_OUTPUT_PREFIX_DEFAULT}),
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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 = "run"
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CATEGORY = "Projectorz"
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OUTPUT_NODE = True
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def run(self, images, name_prefix, prompt=None, extra_pnginfo=None):
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output_dir = folder_paths.get_output_directory()
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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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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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output_filename = f"{name_prefix}{batch_number}.png"
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img.save(os.path.join(output_dir, output_filename), pnginfo=metadata)
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return (None,)
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NODE_CLASS_MAPPINGS = {
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"ProjectorzInitInput": ProjectorzInitInput,
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"ProjectorzControlnetInput": ProjectorzControlnetInput,
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"ProjectorzOutput": ProjectorzOutput,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"ProjectorzInitInput": "Projectorz Init Input",
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"ProjectorzControlnetInput": "Projectorz Controlnet Input",
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"ProjectorzOutput": "Projectorz Output",
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} |