ComfyUI Node: Timestep Keyframe 🛂🅐🅒🅝

Timestep Keyframe 🛂🅐🅒🅝:

The TimestepKeyframe node is designed to manage and interpolate keyframes over a series of timesteps, providing a structured way to control various parameters dynamically throughout a process. This node is particularly useful in scenarios where you need to adjust parameters such as strength, control weights, and latent keyframes over time, ensuring smooth transitions and precise control. By leveraging keyframes, you can create complex animations or transformations that evolve predictably and smoothly, enhancing the quality and flexibility of your AI-generated art. The node ensures that keyframes are sorted and managed efficiently, allowing for seamless interpolation and application of changes at specified intervals.

Timestep Keyframe 🛂🅐🅒🅝 Input Parameters:

start_percent

This parameter defines the starting point of the keyframe as a percentage of the total process duration. It determines when the keyframe's effects begin to take place. The value should be a float between 0.0 and 100.0, with a default of 0.0.

strength

The strength parameter controls the intensity of the keyframe's effect. It is a float value that can range from 0.0 to 1.0, with a default of 1.0. Higher values indicate stronger effects.

control_weights

This parameter allows you to specify control weights that influence the keyframe's behavior. It accepts a ControlWeights object, which can be customized to adjust various aspects of the keyframe's influence. If not provided, it defaults to None.

latent_keyframes

The latent_keyframes parameter is used to include a group of latent keyframes that can be applied in conjunction with the main keyframe. It accepts a LatentKeyframeGroup object and defaults to None if not specified.

null_latent_kf_strength

This parameter sets the strength of the null latent keyframe, which can be used to nullify certain effects. It is a float value ranging from 0.0 to 1.0, with a default of 0.0.

inherit_missing

The inherit_missing parameter is a boolean that determines whether missing attributes should be inherited from previous keyframes. It defaults to True, ensuring continuity in the absence of specific attributes.

guarantee_steps

This parameter specifies the number of steps for which the keyframe's effects are guaranteed to be applied. It is an integer with a default value of 1, ensuring that the keyframe's influence is maintained for at least one step.

mask_hint_orig

The mask_hint_orig parameter allows you to provide a tensor that serves as a mask hint for the keyframe. This can be used to guide the application of the keyframe's effects. It defaults to None if not provided.

Timestep Keyframe 🛂🅐🅒🅝 Output Parameters:

Timestep Keyframe 🛂🅐🅒🅝Group

The output of the TimestepKeyframe node is a TimestepKeyframeGroup object. This group contains all the keyframes added during the process, sorted by their start percentages. It provides a structured and organized way to manage and apply keyframes over time, ensuring smooth transitions and precise control of the parameters.

Timestep Keyframe 🛂🅐🅒🅝 Usage Tips:

• To create smooth transitions between keyframes, ensure that the start_percent values are evenly distributed and that the strength values are adjusted gradually.
• Utilize the control_weights parameter to fine-tune the influence of each keyframe, allowing for more complex and nuanced effects.
• When working with multiple keyframes, use the inherit_missing parameter to maintain continuity and avoid abrupt changes in the absence of specific attributes.

Timestep Keyframe 🛂🅐🅒🅝 Common Errors and Solutions:

strengths_float must be either an iterable input or a float

• Explanation: This error occurs when the strength parameter is not provided as a float or an iterable.
• Solution: Ensure that the strength parameter is either a single float value or a list of float values.

IndexError: list index out of range

• Explanation: This error occurs when attempting to access a keyframe index that does not exist in the TimestepKeyframeGroup.
• Solution: Verify that the index being accessed is within the range of the existing keyframes in the group.

TypeError: 'NoneType' object is not iterable

• Explanation: This error occurs when an expected iterable parameter, such as control_weights or latent_keyframes, is None.
• Solution: Ensure that all iterable parameters are properly initialized and not set to None if they are required for the process.