CavinHuang-comfyui-nodes-docs/nodes-docs/en-US/ComfyUI_FizzNodes/docs/BatchValueSchedule.md

tags

tags
AnimationScheduling Scheduling

Batch Value Schedule 📅🅕🅝

Documentation

• Class name: BatchValueSchedule
• Category: FizzNodes 📅🅕🅝/BatchScheduleNodes
• Output node: False

The BatchValueSchedule node is designed to process a batch of text inputs, applying a scheduling algorithm to generate a sequence of values based on the text's key frames over a specified number of frames. It supports batch processing for efficiency and can optionally print the output for debugging purposes.

Input types

Required

• text
  • The text input containing key frames for value generation. It supports multiline input and plays a crucial role in determining the sequence of generated values.
  • Comfy dtype: STRING
  • Python dtype: str
• max_frames
  • Specifies the maximum number of frames for which values will be generated. It defines the length of the output sequence.
  • Comfy dtype: INT
  • Python dtype: int
• print_output
  • A boolean flag that, when set to True, enables printing of the output for debugging purposes.
  • Comfy dtype: BOOLEAN
  • Python dtype: bool

Output types

• float
  • Comfy dtype: FLOAT
  • The first element of the output tuple, representing the generated values as floating-point numbers.
  • Python dtype: List[float]
• int
  • Comfy dtype: INT
  • The second element of the output tuple, representing the generated values converted to integers.
  • Python dtype: List[int]

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class BatchValueSchedule:
    @classmethod
    def INPUT_TYPES(s):
        return {"required": {"text": ("STRING", {"multiline": True, "default": defaultValue}),
                            "max_frames": ("INT", {"default": 120.0, "min": 1.0, "max": 999999.0, "step": 1.0}),
                            "print_output": ("BOOLEAN", {"default": False})}}

    RETURN_TYPES = ("FLOAT", "INT")
    FUNCTION = "animate"

    CATEGORY = "FizzNodes 📅🅕🅝/BatchScheduleNodes"

    def animate(self, text, max_frames, print_output):
        t = batch_get_inbetweens(batch_parse_key_frames(text, max_frames), max_frames)
        if print_output is True:
            print("ValueSchedule: ", t)
        return (t, list(map(int,t)),)