84 lines
3.3 KiB
Markdown
84 lines
3.3 KiB
Markdown
---
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tags:
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- AnimateDiff
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- Animation
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- ModelTuning
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- Weight
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---
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# Adjust Weight [Indiv◆Mult] 🎭🅐🅓
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## Documentation
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- Class name: `ADE_AdjustWeightIndivMult`
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- Category: `Animate Diff 🎭🅐🅓/ad settings/weight adjust`
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- Output node: `False`
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This node is designed to adjust the weights of individual components in a model multiplicatively, based on specified multipliers for each component. It allows for fine-tuning of model behavior by scaling the influence of different parts of the model, such as attention mechanisms and other parameters, to achieve desired outcomes.
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## Input types
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### Required
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- **`pe_MULT`**
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- Specifies the multiplier for positional encoding weights, influencing how much the positional encodings are scaled during the adjustment process.
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- Comfy dtype: `FLOAT`
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- Python dtype: `float`
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- **`attn_MULT`**
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- Determines the multiplier for the overall attention weights, affecting the scaling of attention mechanisms within the model.
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- Comfy dtype: `FLOAT`
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- Python dtype: `float`
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- **`other_MULT`**
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- Specifies a general multiplier for other model weights not explicitly covered by other parameters, allowing for broad adjustment.
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- Comfy dtype: `FLOAT`
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- Python dtype: `float`
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- **`print_adjustment`**
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- A flag indicating whether the adjustments made by this node should be printed for verification or debugging purposes.
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- Comfy dtype: `BOOLEAN`
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- Python dtype: `bool`
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### Optional
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- **`prev_weight_adjust`**
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- An optional parameter allowing for the input of previous weight adjustments, enabling cumulative adjustments over multiple iterations.
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- Comfy dtype: `WEIGHT_ADJUST`
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- Python dtype: `AdjustGroup`
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## Output types
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- **`weight_adjust`**
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- Comfy dtype: `WEIGHT_ADJUST`
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- Returns the updated weight adjustments, incorporating the multiplicative changes specified by the input parameters.
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- Python dtype: `AdjustGroup`
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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 WeightAdjustIndivMultNode:
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"pe_MULT": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.000001}),
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"attn_MULT": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.000001}),
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"other_MULT": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.000001}),
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"print_adjustment": ("BOOLEAN", {"default": False}),
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},
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"optional": {
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"prev_weight_adjust": ("WEIGHT_ADJUST",),
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}
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}
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RETURN_TYPES = ("WEIGHT_ADJUST",)
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CATEGORY = "Animate Diff 🎭🅐🅓/ad settings/weight adjust"
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FUNCTION = "get_weight_adjust"
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def get_weight_adjust(self, pe_MULT: float, attn_MULT: float, other_MULT: float, print_adjustment: bool, prev_weight_adjust: AdjustGroup=None):
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if prev_weight_adjust is None:
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prev_weight_adjust = AdjustGroup()
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prev_weight_adjust = prev_weight_adjust.clone()
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adjust = AdjustWeight(
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pe_MULT=pe_MULT,
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attn_MULT=attn_MULT,
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other_MULT=other_MULT,
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print_adjustment=print_adjustment
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)
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prev_weight_adjust.add(adjust)
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return (prev_weight_adjust,)
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```
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