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Automate loading LoRA models for AI animation enhancement.
The CR Load LoRA node is designed to dynamically load and apply a LoRA (Low-Rank Adaptation) model to your existing AI model and clip during the animation process. This node is particularly useful for AI artists who want to enhance their models with specific LoRA configurations at different frames of an animation. By leveraging this node, you can seamlessly integrate various LoRA models to achieve desired artistic effects, ensuring that your animations are enriched with the appropriate LoRA influences at the right moments. The node automates the process of loading and applying LoRA models based on predefined schedules or parameters, making it easier to manage complex animation workflows.
This parameter represents the base AI model to which the LoRA will be applied. It is essential for the node to know which model is being enhanced with the LoRA.
This parameter refers to the clip associated with the base AI model. The clip is used in conjunction with the model to apply the LoRA effects accurately.
The name of the LoRA model to be loaded. This parameter is crucial as it specifies which LoRA model will be applied to the base model and clip. If the LoRA name is set to "None" or the switch is "Off," the node will not apply any LoRA.
This parameter determines the strength of the LoRA effect on the model. It is a floating-point value that typically ranges from 0 to 1, where 0 means no effect and 1 means full effect. Adjusting this value allows you to control the intensity of the LoRA influence on the model.
Similar to strength_model
, this parameter controls the strength of the LoRA effect on the clip. It is also a floating-point value ranging from 0 to 1. This allows for fine-tuning the LoRA's impact on the clip independently of the model.
A toggle parameter that can be set to "On" or "Off". When set to "Off", the node will not apply any LoRA, regardless of the other parameters. This is useful for temporarily disabling the LoRA application without changing other settings.
This output parameter represents the base model with the LoRA applied. It is the enhanced version of the input model, modified according to the specified LoRA parameters.
This output parameter is the clip with the LoRA applied. Similar to model_lora
, it is the enhanced version of the input clip, modified based on the LoRA settings.
A URL string that directs you to the documentation or help page for the CR Load LoRA node. This is useful for users who need additional information or troubleshooting tips.
lora_name
parameter is correctly set to the desired LoRA model name to avoid loading issues.strength_model
and strength_clip
parameters to fine-tune the LoRA effects. Start with lower values and gradually increase them to see the impact.switch
parameter to quickly enable or disable the LoRA application without altering other settings.show_help
URL for detailed documentation and examples on how to use the node effectively.<s_lora_alias>
. Frame <current_frame>
.lora_name
parameter is correctly set and matches an existing LoRA model.<current_frame>
. Using default lora.<line>
alias, strength_model, strength_clip
.<lora_name>
<s_lora_alias>
lora_name
parameter is correctly set and matches an existing LoRA model.© Copyright 2024 RunComfy. All Rights Reserved.