117 lines
4.8 KiB
Markdown
117 lines
4.8 KiB
Markdown
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# Documentation
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- Class name: ConditioningSetMaskAndCombine4
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- Category: KJNodes/masking/conditioning
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- Output node: False
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- Repo Ref: https://github.com/comfyanonymous/ComfyUI
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该节点用于将一系列掩码应用于条件数据，并根据指定的强度和区域进行组合。它允许通过掩码动态调整条件区域，从而在多步骤或复杂的条件场景中实现对条件过程的精确控制。
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# Input types
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## Required
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- positive_i
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- 指定要与相应掩码结合的正向条件数据。可以调整强度和应用区域，从而实现细致入微的条件效果。
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- Comfy dtype: CONDITIONING
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- Python dtype: List[torch.Tensor]
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- negative_i
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- 指定要与相应掩码结合的负向条件数据，允许基于掩码的应用来减弱或抵消条件效果。
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- Comfy dtype: CONDITIONING
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- Python dtype: List[torch.Tensor]
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- mask_i
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- 应用于条件数据的掩码，定义了条件效果的区域和强度。
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- Comfy dtype: MASK
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- Python dtype: torch.Tensor
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- mask_i_strength
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- 定义相应掩码的条件效果强度，影响所应用条件的强度。
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- Comfy dtype: FLOAT
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- Python dtype: float
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- set_cond_area
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- 决定条件区域是设置为掩码定义的边界还是使用默认设置，影响条件的应用方式。
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- Comfy dtype: COMBO[STRING]
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- Python dtype: str
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# Output types
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- combined_positive
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- 在应用掩码并根据指定参数进行组合后得到的正向条件数据结果。
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- Comfy dtype: CONDITIONING
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- Python dtype: List[torch.Tensor]
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- combined_negative
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- 反映了掩码对原始条件的减弱或抵消效果后的负向条件数据结果。
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- Comfy dtype: CONDITIONING
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- Python dtype: List[torch.Tensor]
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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 ConditioningSetMaskAndCombine4:
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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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"positive_1": ("CONDITIONING", ),
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"negative_1": ("CONDITIONING", ),
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"positive_2": ("CONDITIONING", ),
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"negative_2": ("CONDITIONING", ),
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"positive_3": ("CONDITIONING", ),
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"negative_3": ("CONDITIONING", ),
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"positive_4": ("CONDITIONING", ),
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"negative_4": ("CONDITIONING", ),
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"mask_1": ("MASK", ),
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"mask_2": ("MASK", ),
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"mask_3": ("MASK", ),
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"mask_4": ("MASK", ),
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"mask_1_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
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"mask_2_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
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"mask_3_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
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"mask_4_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
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"set_cond_area": (["default", "mask bounds"],),
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}
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}
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RETURN_TYPES = ("CONDITIONING","CONDITIONING",)
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RETURN_NAMES = ("combined_positive", "combined_negative",)
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FUNCTION = "append"
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CATEGORY = "KJNodes/masking/conditioning"
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DESCRIPTION = """
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Bundles multiple conditioning mask and combine nodes into one,functionality is identical to ComfyUI native nodes
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"""
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def append(self, positive_1, negative_1, positive_2, positive_3, positive_4, negative_2, negative_3, negative_4, mask_1, mask_2, mask_3, mask_4, set_cond_area, mask_1_strength, mask_2_strength, mask_3_strength, mask_4_strength):
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c = []
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c2 = []
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set_area_to_bounds = False
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if set_cond_area != "default":
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set_area_to_bounds = True
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if len(mask_1.shape) < 3:
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mask_1 = mask_1.unsqueeze(0)
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if len(mask_2.shape) < 3:
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mask_2 = mask_2.unsqueeze(0)
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if len(mask_3.shape) < 3:
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mask_3 = mask_3.unsqueeze(0)
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if len(mask_4.shape) < 3:
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mask_4 = mask_4.unsqueeze(0)
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for t in positive_1:
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append_helper(t, mask_1, c, set_area_to_bounds, mask_1_strength)
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for t in positive_2:
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append_helper(t, mask_2, c, set_area_to_bounds, mask_2_strength)
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for t in positive_3:
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append_helper(t, mask_3, c, set_area_to_bounds, mask_3_strength)
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for t in positive_4:
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append_helper(t, mask_4, c, set_area_to_bounds, mask_4_strength)
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for t in negative_1:
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append_helper(t, mask_1, c2, set_area_to_bounds, mask_1_strength)
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for t in negative_2:
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append_helper(t, mask_2, c2, set_area_to_bounds, mask_2_strength)
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for t in negative_3:
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append_helper(t, mask_3, c2, set_area_to_bounds, mask_3_strength)
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for t in negative_4:
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append_helper(t, mask_4, c2, set_area_to_bounds, mask_4_strength)
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return (c, c2)
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```
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