🛠️ CR Debatch Frames

Documentation

• Class name: CR Debatch Frames
• Category: 🧩 Comfyroll Studio/🎥 Animation/🛠️ Utils
• Output node: False

The CR_DebatchFrames node is designed to transform a batch of image frames into a list of individual frames, facilitating frame-by-frame processing or analysis within animation workflows.

Input types

Required

• frames
  • The 'frames' parameter represents a batch of image frames to be debatched into individual frames. This is essential for operations that require handling each frame separately, such as animation frame processing.
  • Comfy dtype: IMAGE
  • Python dtype: torch.Tensor

Output types

• debatched_frames
  • Comfy dtype: IMAGE
  • A list of individual image frames, each extracted from the input batch. This allows for frame-by-frame manipulation or analysis.
  • Python dtype: List[torch.Tensor]

Usage tips

• Infra type: GPU
• Common nodes: unknown

Source code

class CR_DebatchFrames:
   # cloned from ltdrdata Image Batch To Image List node

    @classmethod
    def INPUT_TYPES(s):
        return {"required": { "frames": ("IMAGE",), } }

    RETURN_TYPES = ("IMAGE",)
    RETURN_NAMES = ("debatched_frames",)
    OUTPUT_IS_LIST = (True,)
    FUNCTION = "debatch"
    CATEGORY = icons.get("Comfyroll/Animation/Utils")

    def debatch(self, frames):
        images = [frames[i:i + 1, ...] for i in range(frames.shape[0])]
        return (images, )