68 lines
2.1 KiB
Markdown
68 lines
2.1 KiB
Markdown
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# Documentation
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- Class name: FL_ImageDimensionDisplay
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- Category: 🏵️Fill Nodes
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- Output node: False
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- Repo Ref: https://github.com/comfyanonymous/ComfyUI
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FL_ImageDimensionDisplay节点旨在计算和显示图像的尺寸,支持各种格式的单张图像和批量图像。它抽象了处理不同图像表示形式的复杂性,提供了一种直观的方式来获取图像尺寸。
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# Input types
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## Required
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- image
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- 图像输入对于确定提供的图像尺寸至关重要。它支持张量和PIL图像格式,根据输入类型调整其处理方式,以准确返回图像尺寸。
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- Comfy dtype: IMAGE
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- Python dtype: Union[torch.Tensor, Image.Image]
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# Output types
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- string
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- 输出提供的图像尺寸作为字符串,格式化包括宽度和高度。
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- Comfy dtype: STRING
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- Python dtype: str
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## Usage tips
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- Infra type: `CPU`
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- Common nodes: unknown
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## Source code
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```python
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class FL_ImageDimensionDisplay:
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"image": ("IMAGE", {}),
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}
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}
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RETURN_TYPES = ("STRING",)
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FUNCTION = "display_dimensions"
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CATEGORY = "🏵️Fill Nodes"
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def display_dimensions(self, image):
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# Check the number of dimensions in the image tensor to correctly unpack the dimensions
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if isinstance(image, torch.Tensor):
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if image.dim() == 4: # Batch dimension is present
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_, height, width, _, = image.shape
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elif image.dim() == 3: # No batch dimension, single image
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_, height, width = image.shape
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else:
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return ("Unsupported tensor format",)
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elif isinstance(image, Image.Image):
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width, height = image.size
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else:
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return ("Unsupported image format",)
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# Correctly assign width and height
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dimensions = f"Width: {width}, Height: {height}"
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# Display dimensions in the UI. This might need to be adapted.
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print(dimensions)
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# Return the dimensions as a string.
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return (dimensions,)
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```
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