ComfyUI Node: Multival Dynamic [Float List] 🎭🅐🅓

Multival Dynamic [Float List] 🎭🅐🅓:

The ADE_MultivalDynamicFloatInput node is designed to provide dynamic and flexible input handling for multiple float values within the Animate Diff framework. This node allows you to input either a single float value or a list of float values, which can be used to create a multival output. The node is particularly useful for scenarios where you need to handle varying float inputs dynamically, offering a high degree of customization and control. Additionally, it supports an optional mask input, enabling more complex and nuanced operations. This node is essential for AI artists looking to incorporate dynamic float values into their workflows, enhancing the versatility and adaptability of their projects.

Multival Dynamic [Float List] 🎭🅐🅓 Input Parameters:

float_val

The float_val parameter is a required input that accepts either a single float value or a list of float values. This parameter is crucial for defining the float values that will be processed by the node. The default value is 1.0, with a minimum of 0.0 and a maximum of 10.0. The step size is 0.001, allowing for fine-grained adjustments. This parameter significantly impacts the node's execution by determining the float values used in the multival output.

mask_optional

The mask_optional parameter is an optional input that accepts a mask tensor. This mask can be used to apply additional constraints or modifications to the float values, enabling more complex and customized operations. If not provided, the node will operate solely based on the float_val input. This parameter adds an extra layer of flexibility, allowing for more sophisticated use cases.

Multival Dynamic [Float List] 🎭🅐🅓 Output Parameters:

MULTIVAL

The MULTIVAL output is the primary result of the node's processing. It encapsulates the dynamic float values, potentially modified by the optional mask, into a multival format. This output is essential for downstream nodes that require dynamic float inputs, providing a versatile and adaptable data structure that can be easily integrated into various workflows.

Multival Dynamic [Float List] 🎭🅐🅓 Usage Tips:

• To achieve precise control over the float values, use the float_val parameter with a list of values, allowing for dynamic adjustments and fine-tuning.
• Utilize the mask_optional parameter to introduce additional constraints or modifications, enabling more complex and customized operations.

Multival Dynamic [Float List] 🎭🅐🅓 Common Errors and Solutions:

"Invalid float_val input"

• Explanation: This error occurs when the float_val input is not a valid float or list of floats.
• Solution: Ensure that the float_val parameter is set to a valid float or a list of floats within the specified range (0.0 to 10.0).

"Mask tensor dimensions mismatch"

• Explanation: This error happens when the dimensions of the mask_optional tensor do not match the expected dimensions.
• Solution: Verify that the mask tensor dimensions are compatible with the float values and adjust accordingly. Ensure that the mask tensor is properly formatted and extends to the required batch size.