Set Props on Conds 🎭🅐🅓

Documentation

Class name: ADE_PairedConditioningSetMask
Category: Animate Diff 🎭🅐🅓/conditioning
Output node: False

The ADE_PairedConditioningSetMask node is designed to apply masking and conditioning adjustments to a pair of conditioning inputs. It utilizes additional parameters such as strength, set condition area, and optional elements like masks, Lora hooks, and timestep conditions to fine-tune the conditioning process, aiming to enhance or modify the generated content's attributes according to the specified adjustments.

Input types

Required

positive_ADD
- Specifies the positive conditioning input to be adjusted. It plays a crucial role in defining the attributes or features to be enhanced or modified in the generated content.
- Comfy dtype: CONDITIONING
- Python dtype: CONDITIONING
negative_ADD
- Specifies the negative conditioning input to be adjusted. It is essential for defining the attributes or features to be diminished or altered in the opposite manner to the positive conditioning.
- Comfy dtype: CONDITIONING
- Python dtype: CONDITIONING
strength
- Determines the intensity of the conditioning adjustment. A higher value indicates a stronger effect on the conditioning inputs.
- Comfy dtype: FLOAT
- Python dtype: float
set_cond_area
- Defines the area of the conditioning inputs to be affected by the adjustments. It allows for targeted modifications within the conditioning inputs.
- Comfy dtype: COMBO[STRING]
- Python dtype: COND_CONST._LIST_COND_AREA

Optional

opt_mask
- An optional mask that can be applied to the conditioning inputs for more precise adjustments.
- Comfy dtype: MASK
- Python dtype: Tensor
opt_lora_hook
- An optional Lora hook that can be applied for additional conditioning transformations.
- Comfy dtype: LORA_HOOK
- Python dtype: LoraHookGroup
opt_timesteps
- Optional timesteps condition that allows for temporal adjustments to the conditioning inputs.
- Comfy dtype: TIMESTEPS_COND
- Python dtype: TimestepsCond

Output types

positive
- Comfy dtype: CONDITIONING
- The adjusted positive conditioning output after applying the specified adjustments.
- Python dtype: CONDITIONING
negative
- Comfy dtype: CONDITIONING
- The adjusted negative conditioning output after applying the specified adjustments.
- Python dtype: CONDITIONING

Usage tips

Infra type: CPU
Common nodes: unknown

Source code

class PairedConditioningSetMaskHooked:
    @classmethod
    def INPUT_TYPES(s):
        return {
            "required": {
                "positive_ADD": ("CONDITIONING", ),
                "negative_ADD": ("CONDITIONING", ),
                "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
                "set_cond_area": (COND_CONST._LIST_COND_AREA,),
            },
            "optional": {
                "opt_mask": ("MASK", ),
                "opt_lora_hook": ("LORA_HOOK",),
                "opt_timesteps": ("TIMESTEPS_COND",)
            }
        }

    RETURN_TYPES = ("CONDITIONING", "CONDITIONING")
    RETURN_NAMES = ("positive", "negative")
    CATEGORY = "Animate Diff 🎭🅐🅓/conditioning"
    FUNCTION = "append_and_hook"

    def append_and_hook(self, positive_ADD, negative_ADD,
                        strength: float, set_cond_area: str,
                        opt_mask: Tensor=None, opt_lora_hook: LoraHookGroup=None, opt_timesteps: TimestepsCond=None):
        final_positive, final_negative = set_mask_conds(conds=[positive_ADD, negative_ADD],
                                                        strength=strength, set_cond_area=set_cond_area,
                                                        opt_mask=opt_mask, opt_lora_hook=opt_lora_hook, opt_timesteps=opt_timesteps)
        return (final_positive, final_negative)

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