90 lines
3.2 KiB
Markdown
90 lines
3.2 KiB
Markdown
# Load Images (Path) 🎥🅥🅗🅢
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## Documentation
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- Class name: VHS_LoadImagesPath
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- Category: Video Helper Suite 🎥🅥🅗🅢
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- Output node: False
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- Repo Ref: https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite.git
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VHS_LoadImagesPath节点用于将图像从指定目录路径加载到视频编辑或处理工作流程中。它支持过滤和选择选项，以自定义加载的图像集，从而在视频助手套件中高效管理和处理图像批次。
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## Input types
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### Required
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- directory
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- 指定要从中加载图像的目录。此参数对于确定要处理的图像来源至关重要。
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- Comfy dtype: STRING
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- Python dtype: str
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### Optional
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- image_load_cap
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- 限制从目录加载的图像数量，允许控制处理批次的大小。
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- Comfy dtype: INT
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- Python dtype: int
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- skip_first_images
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- 跳过目录开头指定数量的图像，允许根据顺序选择性加载图像。
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- Comfy dtype: INT
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- Python dtype: int
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- select_every_nth
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- 加载目录中的每第n张图像，提供了一种稀释要处理的图像集的方法。
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- Comfy dtype: INT
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- Python dtype: int
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## Output types
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- image
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- Comfy dtype: IMAGE
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- 加载的图像，准备在工作流程中进一步处理或操作。
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- Python dtype: torch.Tensor
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- mask
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- Comfy dtype: MASK
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- 为加载的图像生成的蒙版，对于需要分割或选择性编辑的图像编辑任务很有用。
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- Python dtype: torch.Tensor
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- int
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- Comfy dtype: INT
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- 加载的图像总数，在应用加载参数后提供批次大小的见解。
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- Python dtype: int
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## Usage tips
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- Infra type: CPU
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- Common nodes:
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- [ImpactImageBatchToImageList](../../ComfyUI-Impact-Pack/Nodes/ImpactImageBatchToImageList.md)
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- [PreviewImage](../../Comfy/Nodes/PreviewImage.md)
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- [IPAdapterEncoder](../../ComfyUI_IPAdapter_plus/Nodes/IPAdapterEncoder.md)
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- LinearBatchCreativeInterpolation
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## Source code
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```python
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class LoadImagesFromDirectoryPath:
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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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"directory": ("STRING", {"default": "X://path/to/images", "vhs_path_extensions": []}),
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},
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"optional": {
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"image_load_cap": ("INT", {"default": 0, "min": 0, "max": BIGMAX, "step": 1}),
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"skip_first_images": ("INT", {"default": 0, "min": 0, "max": BIGMAX, "step": 1}),
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"select_every_nth": ("INT", {"default": 1, "min": 1, "max": BIGMAX, "step": 1}),
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}
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}
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RETURN_TYPES = ("IMAGE", "MASK", "INT")
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FUNCTION = "load_images"
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CATEGORY = "Video Helper Suite 🎥🅥🅗🅢"
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def load_images(self, directory: str, **kwargs):
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if directory is None or validate_load_images(directory) != True:
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raise Exception("directory is not valid: " + directory)
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return load_images(directory, **kwargs)
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@classmethod
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def IS_CHANGED(s, directory: str, **kwargs):
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if directory is None:
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return "input"
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return is_changed_load_images(directory, **kwargs)
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@classmethod
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def VALIDATE_INPUTS(s, directory: str, **kwargs):
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if directory is None:
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return True
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return validate_load_images(directory) |