--- tags: - AnimateDiff - Animation - ModelTuning - Weight --- # Adjust Weight [Indivβ—†Add] πŸŽ­πŸ…πŸ…“ ## Documentation - Class name: `ADE_AdjustWeightIndivAdd` - Category: `Animate Diff πŸŽ­πŸ…πŸ…“/ad settings/weight adjust` - Output node: `False` This node is designed to adjust individual attention and positional encoding weights by addition, allowing for fine-tuned control over the animation diffusion process. It facilitates the customization of the animation generation by modifying the weights associated with different components of the attention mechanism. ## Input types ### Required - **`pe_ADD`** - Specifies the addition value for positional encoding weights, influencing the spatial aspect of generated animations. - Comfy dtype: `FLOAT` - Python dtype: `float` - **`attn_ADD`** - Determines the addition value for the overall attention weights, affecting the focus and relevance of elements within the animation. - Comfy dtype: `FLOAT` - Python dtype: `float` - **`other_ADD`** - Applies an addition adjustment to other unspecified weights, offering a generic mechanism for weight modification. - Comfy dtype: `FLOAT` - Python dtype: `float` - **`print_adjustment`** - Controls whether the adjustments made are printed out, aiding in debugging and fine-tuning processes. - Comfy dtype: `BOOLEAN` - Python dtype: `bool` ### Optional - **`prev_weight_adjust`** - Allows for the chaining of weight adjustments by taking a previous adjustment group as input, enabling cumulative adjustments. - Comfy dtype: `WEIGHT_ADJUST` - Python dtype: `AdjustGroup` ## Output types - **`weight_adjust`** - Comfy dtype: `WEIGHT_ADJUST` - Returns an updated weight adjustment group, encapsulating all the specified additions to the weights. - Python dtype: `AdjustGroup` ## Usage tips - Infra type: `CPU` - Common nodes: unknown ## Source code ```python class WeightAdjustIndivAddNode: @classmethod def INPUT_TYPES(s): return { "required": { "pe_ADD": ("FLOAT", {"default": 0.0, "min": -2.0, "max": 2.0, "step": 0.000001}), "attn_ADD": ("FLOAT", {"default": 0.0, "min": -2.0, "max": 2.0, "step": 0.000001}), "other_ADD": ("FLOAT", {"default": 0.0, "min": -2.0, "max": 2.0, "step": 0.000001}), "print_adjustment": ("BOOLEAN", {"default": False}), }, "optional": { "prev_weight_adjust": ("WEIGHT_ADJUST",), } } RETURN_TYPES = ("WEIGHT_ADJUST",) CATEGORY = "Animate Diff πŸŽ­πŸ…πŸ…“/ad settings/weight adjust" FUNCTION = "get_weight_adjust" def get_weight_adjust(self, pe_ADD: float, attn_ADD: float, other_ADD: float, print_adjustment: bool, prev_weight_adjust: AdjustGroup=None): if prev_weight_adjust is None: prev_weight_adjust = AdjustGroup() prev_weight_adjust = prev_weight_adjust.clone() adjust = AdjustWeight( pe_ADD=pe_ADD, attn_ADD=attn_ADD, other_ADD=other_ADD, print_adjustment=print_adjustment ) prev_weight_adjust.add(adjust) return (prev_weight_adjust,) ```