ComfyUI Node: LoRA Hook Keyframe 🎭🅐🅓

LoRA Hook Keyframe 🎭🅐🅓:

The ADE_LoraHookKeyframe node is designed to create keyframes for LoRA (Low-Rank Adaptation) hooks, which are used in the context of conditioning models in animation workflows. This node allows you to define specific points in time where the strength of the LoRA hook is adjusted, enabling more dynamic and nuanced control over the model's behavior during the animation process. By setting keyframes, you can ensure that certain effects or adjustments are applied at precise moments, enhancing the overall quality and expressiveness of your animations. This node is particularly useful for AI artists looking to fine-tune their models' performance over time, providing a powerful tool for creating more sophisticated and controlled animations.

LoRA Hook Keyframe 🎭🅐🅓 Input Parameters:

strength_model

This parameter defines the strength of the LoRA hook at the keyframe. It determines how much influence the LoRA hook will have on the model at this specific point in time. The value can range from -20.0 to 20.0, with a default of 1.0. Adjusting this parameter allows you to control the intensity of the effect applied by the LoRA hook.

start_percent

This parameter specifies the starting point of the keyframe as a percentage of the total animation duration. It ranges from 0.0 to 1.0, with a default value of 0.0. This allows you to set the exact moment in the animation timeline when the keyframe should begin to take effect.

guarantee_steps

This parameter indicates the number of steps for which the keyframe's strength is guaranteed to be applied. It ensures that the effect of the keyframe is maintained for a specified duration, providing more control over the timing and persistence of the LoRA hook's influence. The default value is 1, and it can be set to any integer value.

prev_hook_kf

This optional parameter allows you to provide a previous set of LoRA hook keyframes. If provided, the new keyframe will be added to this existing set, enabling the creation of complex sequences of keyframes. This parameter is useful for building upon previously defined keyframes and creating more intricate animation schedules.

LoRA Hook Keyframe 🎭🅐🅓 Output Parameters:

HOOK_KF

This output parameter returns the updated set of LoRA hook keyframes, including the newly created keyframe. This set can be used in subsequent nodes to apply the defined keyframes to the model, ensuring that the specified adjustments are made at the appropriate times during the animation.

LoRA Hook Keyframe 🎭🅐🅓 Usage Tips:

• To create smooth transitions between different strengths of the LoRA hook, carefully adjust the start_percent and strength_model parameters for each keyframe.
• Use the guarantee_steps parameter to ensure that critical effects are applied consistently over a specific duration, preventing abrupt changes in the animation.
• Combine multiple keyframes by using the prev_hook_kf parameter to build complex and dynamic animation sequences that enhance the expressiveness of your model.

LoRA Hook Keyframe 🎭🅐🅓 Common Errors and Solutions:

Invalid strength_model value

• Explanation: The strength_model parameter value is outside the allowed range of -20.0 to 20.0.
• Solution: Ensure that the strength_model value is within the specified range.

Invalid start_percent value

• Explanation: The start_percent parameter value is outside the allowed range of 0.0 to 1.0.
• Solution: Adjust the start_percent value to be within the range of 0.0 to 1.0.

Missing prev_hook_kf parameter

• Explanation: The prev_hook_kf parameter is required but not provided.
• Solution: Ensure that you provide a valid prev_hook_kf parameter if you intend to build upon existing keyframes. If not, you can omit this parameter.

guarantee_steps value too low

• Explanation: The guarantee_steps parameter value is set to a non-positive integer.
• Solution: Ensure that the guarantee_steps value is a positive integer to guarantee the application of the keyframe's strength.