Ethanfel
a385616fa2
When a MASK is connected, it gets embedded as the alpha channel of the saved PNG. LoadImage then automatically extracts it as its mask output. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
126 lines
4.2 KiB
Python
126 lines
4.2 KiB
Python
import json
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import os
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import random
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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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from comfy.cli_args import args
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class JDL_PreviewToLoad:
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"""Previews an image and saves a copy to input/ for use by LoadImage nodes."""
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def __init__(self):
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self.output_dir = folder_paths.get_temp_directory()
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self.type = "temp"
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self.prefix_append = "_temp_" + ''.join(
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random.choice("abcdefghijklmnopqrstupvxyz") for _ in range(5)
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)
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self.compress_level = 1
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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": ("STRING", {"default": "preview"}),
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},
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"optional": {
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"mask": ("MASK",),
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},
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"hidden": {
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"prompt": "PROMPT",
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"extra_pnginfo": "EXTRA_PNGINFO",
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},
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}
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RETURN_TYPES = ()
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FUNCTION = "preview_and_save"
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OUTPUT_NODE = True
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CATEGORY = "utils/image"
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def preview_and_save(self, images, filename="preview", mask=None, prompt=None, extra_pnginfo=None):
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# Save to temp/ for preview (same as PreviewImage)
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filename_prefix = "ComfyUI" + self.prefix_append
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full_output_folder, fname, counter, subfolder, filename_prefix = (
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folder_paths.get_save_image_path(
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filename_prefix, self.output_dir,
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images[0].shape[1], images[0].shape[0]
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)
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)
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results = []
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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 = None
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if not args.disable_metadata:
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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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temp_file = f"{fname}_{counter:05}_.png"
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img.save(
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os.path.join(full_output_folder, temp_file),
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pnginfo=metadata, compress_level=self.compress_level,
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)
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results.append({
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"filename": temp_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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# Save first image to input/ for LoadImage consumption
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input_dir = folder_paths.get_input_directory()
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safe_name = os.path.basename(filename).strip().strip(".")
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if not safe_name:
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safe_name = "preview"
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input_filename = f"{safe_name}.png"
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first_image = 255.0 * images[0].cpu().numpy()
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first_img = Image.fromarray(np.clip(first_image, 0, 255).astype(np.uint8))
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# Embed mask as alpha channel so LoadImage extracts it
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if mask is not None:
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mask_data = mask[0].cpu().numpy() if mask.dim() == 3 else mask.cpu().numpy()
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# LoadImage inverts alpha (mask = 1 - alpha), so save alpha = 1 - mask
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alpha = np.clip((1.0 - mask_data) * 255.0, 0, 255).astype(np.uint8)
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alpha_img = Image.fromarray(alpha)
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if alpha_img.size != first_img.size:
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alpha_img = alpha_img.resize(first_img.size, Image.LANCZOS)
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first_img = first_img.convert("RGBA")
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first_img.putalpha(alpha_img)
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metadata = None
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if not args.disable_metadata:
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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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first_img.save(
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os.path.join(input_dir, input_filename),
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pnginfo=metadata, compress_level=4,
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)
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return {"ui": {"images": results, "input_filename": [input_filename]}}
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NODE_CLASS_MAPPINGS = {
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"JDL_PreviewToLoad": JDL_PreviewToLoad,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"JDL_PreviewToLoad": "Preview to Load Image",
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}
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