119 lines
4.4 KiB
Python
119 lines
4.4 KiB
Python
import os
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import zipfile
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import torch
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import numpy as np
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from PIL import Image
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import folder_paths
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import tempfile
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import shutil
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import matplotlib.pyplot as plt
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import time
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import random
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class CompressImages:
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_current_id = None
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_temp_dirs = {}
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_image_counts = {}
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_zip_filename = {} # 新增：记录每个工作流的zip文件名
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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 = "_temp_" + ''.join(random.choice("abcdefghijklmnopqrstupvxyz") for x in range(5))
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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": "ComfyUI"})
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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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"unique_id": "UNIQUE_ID",
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}
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}
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RETURN_TYPES = ("STRING",)
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RETURN_NAMES = ("temp_dir",)
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FUNCTION = "compress_images"
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OUTPUT_NODE = True
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CATEGORY = "comfyui_zip"
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def compress_images(self, images, filename_prefix="ComfyUI", prompt=None, extra_pnginfo=None, unique_id=None):
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try:
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# 确保临时目录存在
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if unique_id not in CompressImages._temp_dirs or not os.path.exists(CompressImages._temp_dirs[unique_id]):
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folder_name = f"{filename_prefix}{self.prefix_append}_{unique_id}"
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CompressImages._temp_dirs[unique_id] = os.path.join(self.output_dir, folder_name)
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CompressImages._image_counts[unique_id] = 0
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timestamp = int(time.time())
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CompressImages._zip_filename[unique_id] = f'{filename_prefix}_{timestamp}.zip'
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# 确保目录存在
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os.makedirs(CompressImages._temp_dirs[unique_id], exist_ok=True)
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temp_dir = CompressImages._temp_dirs[unique_id]
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zip_path = os.path.abspath(os.path.join(self.output_dir, CompressImages._zip_filename[unique_id]))
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# 追加模式打开zip文件
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zip_mode = 'a' if os.path.exists(zip_path) else 'w'
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with zipfile.ZipFile(zip_path, zip_mode) as zipf:
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for image in images:
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if isinstance(image, torch.Tensor):
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img_array = 255. * image.cpu().numpy()
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img = Image.fromarray(np.clip(img_array, 0, 255).astype(np.uint8))
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elif isinstance(image, Image.Image):
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img = image
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else:
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raise ValueError(f"不支持的图片格式: {type(image)}")
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temp_image_path = os.path.join(temp_dir, f'temp_image_{CompressImages._image_counts[unique_id]:05d}.png')
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img.save(temp_image_path)
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arcname = f'image_{CompressImages._image_counts[unique_id]:05d}.png'
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zipf.write(temp_image_path, arcname)
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os.remove(temp_image_path)
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CompressImages._image_counts[unique_id] += 1
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folder_name = os.path.basename(CompressImages._temp_dirs[unique_id])
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# 正确的返回格式
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results = (folder_name,) # 这是 RETURN_TYPES 定义的返回值
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return {"ui": {"file": [CompressImages._zip_filename[unique_id]]}, "result": (results,)}
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except Exception as e:
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print(f"发生错误: {str(e)}")
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self._cleanup(unique_id)
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raise e
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class ZipFiles:
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@classmethod
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def INPUT_TYPES(s):
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return {"required": {
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"images": ("IMAGE",),
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"zip_name": ("STRING", {"default": "images.zip"}),
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"save_path": ("STRING", {"default": "ComfyUI/output"}),
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},
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"hidden": {"unique_id": "UNIQUE_ID"},
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}
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RETURN_TYPES = ("STRING", "STRING",)
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RETURN_NAMES = ("zip_path", "temp_dir",)
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FUNCTION = "zip_files"
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def zip_files(self, images, zip_name, save_path, unique_id):
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temp_dir = tempfile.gettempdir()
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return (output_path, temp_dir)
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NODE_CLASS_MAPPINGS = {
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"CompressImages": CompressImages
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"CompressImages": "Zip Compress"
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}
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