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Sequentially apply different LoRA models for dynamic AI art generation with smooth style transitions.
The CR Cycle LoRAs node is designed to sequentially apply different LoRA (Low-Rank Adaptation) models to your AI art generation process, enhancing the creative output by cycling through a list of predefined LoRAs. This node is particularly useful for creating animations or sequences where the style or characteristics of the generated images need to change over time. By leveraging the sequential mode, the node calculates which LoRA to apply based on the current frame and a specified frame interval, ensuring a smooth transition between different styles. This functionality allows for dynamic and varied artistic expressions, making your AI-generated art more engaging and visually appealing.
The mode parameter determines the operational mode of the node. When set to "Sequential," the node will cycle through the list of LoRAs based on the current frame and frame interval. This parameter is crucial for defining how the LoRAs are applied over time, impacting the overall animation or sequence. The available options are "Sequential" and potentially other modes not specified in the context.
The current_frame parameter indicates the current frame number in the animation or sequence. This value is used to calculate which LoRA to apply at any given time. It is essential for synchronizing the LoRA application with the progression of the animation. The minimum value is 0, and there is no specified maximum value.
The frame_interval parameter defines the number of frames between each LoRA change. A smaller interval results in more frequent changes, while a larger interval results in less frequent changes. This parameter directly affects the pacing of the LoRA transitions. The minimum value is 1, and there is no specified maximum value.
The lora_list parameter is a list of LoRAs to be cycled through. Each item in the list includes the LoRA alias, name, model strength, and clip strength. This list is essential for defining the sequence of LoRAs to be applied, and its content directly influences the variety and style of the generated images.
The loops parameter specifies how many times the lora_list should be repeated. This allows for extended sequences without manually duplicating the list. The minimum value is 1, and there is no specified maximum value.
The model parameter represents the AI model to which the LoRAs will be applied. This is a required input for the node to function correctly.
The clip parameter represents the CLIP model used in conjunction with the AI model. This is also a required input for the node to function correctly.
The model_lora output parameter is the AI model with the current LoRA applied. This output is essential for generating images with the desired style and characteristics defined by the LoRA.
The clip_lora output parameter is the CLIP model with the current LoRA applied. This output works in tandem with the model_lora to ensure the generated images align with the intended style and characteristics.
The show_help output parameter provides a URL to the documentation or help page for the node. This is useful for users who need additional information or guidance on using the node effectively.
<current_frame>
<s_lora_alias>
<lora_name>
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