feat: copy docs

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+# Documentation
+- Class name: Inference_Core_DepthAnythingPreprocessor
+- Category: ControlNet Preprocessors/Normal and Depth Estimators
+- Output node: False
+- Repo Ref: https://github.com/comfyanonymous/ComfyUI
+
+Inference_Core_DepthAnythingPreprocessor节点是为深度估计任务设计的图像预处理工具。它能够根据不同场景（如室内外环境）或特定的模型检查点来选择合适的模型进行处理。该节点通过抽象化模型选择和预处理步骤的复杂性，为深度估计提供了一个简化的接口。
+
+# Input types
+## Required
+- image
+    - 需要进行深度估计的输入图像。这是深度估计模型操作的主要对象。
+    - Comfy dtype: IMAGE
+    - Python dtype: torch.Tensor
+## Optional
+- ckpt_name
+    - 深度估计模型的检查点文件名。通过这个参数可以选择不同的预训练模型，以适应特定的深度估计需求。
+    - Comfy dtype: COMBO[STRING]
+    - Python dtype: str
+- resolution
+    - 指定进行深度估计的分辨率，影响输出深度图的质量和细节程度。
+    - Comfy dtype: INT
+    - Python dtype: int
+
+# Output types
+- image
+    - 输出是一个代表输入图像估计深度图的图像，以可视化方式呈现深度信息。
+    - Comfy dtype: IMAGE
+    - Python dtype: torch.Tensor
+
+
+## Usage tips
+- Infra type: `GPU`
+- Common nodes: unknown
+
+
+## Source code
+```python
+class Depth_Anything_Preprocessor:
+    @classmethod
+    def INPUT_TYPES(s):
+        return create_node_input_types(
+            ckpt_name=(["depth_anything_vitl14.pth", "depth_anything_vitb14.pth", "depth_anything_vits14.pth"], {"default": "depth_anything_vitl14.pth"})
+        )
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "execute"
+
+    CATEGORY = "ControlNet Preprocessors/Normal and Depth Estimators"
+
+    def execute(self, image, ckpt_name, resolution=512, **kwargs):
+        from controlnet_aux.depth_anything import DepthAnythingDetector
+
+        model = DepthAnythingDetector.from_pretrained(filename=ckpt_name).to(model_management.get_torch_device())
+        out = common_annotator_call(model, image, resolution=resolution)
+        del model
+        return (out, )
+
+```