Table of Content

ComfyUI Node: 🛠️ CR Debatch Frames

Class Name

CR Debatch Frames

Category 🧩 Comfyroll Studio/🎥 Animation/🛠️ Utils

Author Suzie1 (Account age: 2158days)Extension Comfyroll StudioLatest Updated 2024-06-05Github Stars 0.49K

Github Ask Suzie1 Questions Current Questions Past Questions

How to Install Comfyroll Studio

Install this extension via the ComfyUI Manager by searching for Comfyroll Studio

1. Click the Manager button in the main menu
1. Select Custom Nodes Manager button
1. Enter Comfyroll Studio in the search bar

After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

Visit ComfyUI Online for ready-to-use ComfyUI environment

Free trial available
High-speed GPU machines
200+ preloaded models/nodes
Freedom to upload custom models/nodes
50+ ready-to-run workflows
100% private workspace with up to 200GB storage
Dedicated Support

Run ComfyUI Online

🛠️ CR Debatch Frames Description

Simplify batch image frame handling by breaking down batches into individual frames for granular control in animation workflows.

🛠️ CR Debatch Frames:

The CR Debatch Frames node is designed to simplify the process of handling batches of image frames by breaking them down into individual frames. This node is particularly useful in animation workflows where you need to process or analyze each frame separately. By converting a batch of frames into a list of individual images, it allows for more granular control and manipulation of each frame, enhancing the flexibility and precision of your animation projects. This node is essential for tasks that require frame-by-frame adjustments or analysis, ensuring that each frame can be accessed and processed independently.

🛠️ CR Debatch Frames Input Parameters:

frames

The frames parameter expects a batch of images as input. This batch is typically a multi-dimensional array where each element represents an individual frame. The node will take this batch and split it into a list of single-frame images. This parameter is crucial as it defines the set of frames that will be debatched for further processing. There are no specific minimum, maximum, or default values for this parameter, as it depends on the batch of images you are working with.

🛠️ CR Debatch Frames Output Parameters:

debatched_frames

The debatched_frames output is a list of individual images extracted from the input batch. Each element in this list corresponds to a single frame from the original batch, allowing you to access and manipulate each frame independently. This output is essential for workflows that require detailed frame-by-frame processing, as it provides the necessary granularity to perform such tasks effectively.

🛠️ CR Debatch Frames Usage Tips:

Use the CR Debatch Frames node when you need to perform operations on individual frames within a batch, such as applying different filters or transformations to each frame.
Ensure that the input batch of frames is correctly formatted as a multi-dimensional array to avoid errors during the debatching process.
Combine this node with other nodes that process individual images to create complex animation workflows that require detailed frame-by-frame adjustments.

🛠️ CR Debatch Frames Common Errors and Solutions:

Input batch is not a multi-dimensional array

Explanation : The input provided is not in the expected format of a multi-dimensional array, which is necessary for the debatching process.
Solution : Ensure that the input batch of frames is correctly formatted as a multi-dimensional array where each element represents an individual frame.

Empty input batch

Explanation : The input batch of frames is empty, so there are no frames to debatch.
Solution : Provide a non-empty batch of frames as input to the node to ensure that there are frames available for debatching.

Inconsistent frame dimensions

Explanation : The frames within the input batch have inconsistent dimensions, which can cause issues during the debatching process.
Solution : Ensure that all frames within the input batch have consistent dimensions before passing them to the node.

image remove background

flux fill outpaint

DimensionX Image To Video