Files
rui40000-RUI-Nodes/load_image_with_name_node.py
T

85 lines
2.8 KiB
Python

import os
import torch
import numpy as np
import hashlib
from PIL import Image, ImageOps, ImageSequence
import folder_paths
class LoadImageWithNameNode:
"""
基础功能与 ComfyUI 的通用图像加载节点相同,但额外输出图像的文件名(不带后缀)。
"""
@classmethod
def INPUT_TYPES(s):
input_dir = folder_paths.get_input_directory()
files = [f for f in os.listdir(input_dir) if os.path.isfile(os.path.join(input_dir, f))]
return {"required":
{"image": (sorted(files), {"image_upload": True})},
}
CATEGORY = "Rui-Node🐶/文件存储与加载📁"
RETURN_TYPES = ("IMAGE", "MASK", "STRING")
RETURN_NAMES = ("IMAGE", "MASK", "filename")
FUNCTION = "load_image"
def load_image(self, image):
image_path = folder_paths.get_annotated_filepath(image)
img = Image.open(image_path)
# 提取不带后缀的文件名
filename = os.path.splitext(os.path.basename(image_path))[0]
output_images = []
output_masks = []
for i in ImageSequence.Iterator(img):
i = ImageOps.exif_transpose(i)
if i.mode == 'I':
i = i.point(lambda i: i * (1 / 255))
image_rgba = i.convert("RGBA")
image_rgb = image_rgba.convert("RGB")
image_np = np.array(image_rgb).astype(np.float32) / 255.0
output_images.append(image_np)
if 'A' in i.getbands():
mask = np.array(i.getchannel('A')).astype(np.float32) / 255.0
mask = 1. - mask
else:
mask = np.zeros((image_np.shape[0], image_np.shape[1]), dtype=np.float32)
output_masks.append(mask)
if len(output_images) > 1:
output_image = torch.from_numpy(np.stack(output_images))
output_mask = torch.from_numpy(np.stack(output_masks))
else:
output_image = torch.from_numpy(output_images[0])[None,]
output_mask = torch.from_numpy(output_masks[0])[None,]
return (output_image, output_mask, filename)
@classmethod
def IS_CHANGED(s, image):
image_path = folder_paths.get_annotated_filepath(image)
m = hashlib.sha256()
with open(image_path, 'rb') as f:
m.update(f.read())
return m.digest().hex()
@classmethod
def VALIDATE_INPUTS(s, image):
if not folder_paths.exists_annotated_filepath(image):
return "Invalid image file: {}".format(image)
return True
NODE_CLASS_MAPPINGS = {
"LoadImageWithName": LoadImageWithNameNode
}
NODE_DISPLAY_NAME_MAPPINGS = {
"LoadImageWithName": "加载图像(带文件名) / Load Image With Name"
}