93 lines
3.1 KiB
Python
93 lines
3.1 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 Image
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from PIL.PngImagePlugin import PngInfo
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import folder_paths
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class ComfyDeployOutputImage:
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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.compress_level = 4
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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": (
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"STRING",
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{
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"default": "ComfyUI",
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"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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),
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"file_type": (["png", "jpg", "webp"], {"default": "webp"}),
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"quality": ("INT", {"default": 80, "min": 1, "max": 100, "step": 1}),
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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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OUTPUT_NODE = True
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CATEGORY = "output"
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DESCRIPTION = "Saves the input images to your ComfyUI output directory."
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def run(
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self,
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images,
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filename_prefix="ComfyUI",
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file_type="png",
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quality=80,
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prompt=None,
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extra_pnginfo=None,
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):
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filename_prefix += self.prefix_append
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full_output_folder, filename, counter, subfolder, filename_prefix = (
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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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)
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results = list()
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for batch_number, image in enumerate(images):
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i = 255.0 * 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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filename_with_batch_num = filename.replace("%batch_num%", str(batch_number))
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file = f"{filename_with_batch_num}_{counter:05}_.{file_type}"
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file_path = os.path.join(full_output_folder, file)
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if file_type == "png":
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img.save(
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file_path, pnginfo=metadata, compress_level=self.compress_level
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)
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elif file_type == "jpg":
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img.save(file_path, quality=quality, optimize=True)
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elif file_type == "webp":
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img.save(file_path, quality=quality)
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results.append(
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{"filename": file, "subfolder": subfolder, "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 = {"ComfyDeployOutputImage": ComfyDeployOutputImage}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"ComfyDeployOutputImage": "Image Output (ComfyDeploy)"
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}
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