ComfyUI > Nodes > ComfyUI-Advanced-ControlNet > Latent Keyframe Group 🛂🅐🅒🅝

ComfyUI Node: Latent Keyframe Group 🛂🅐🅒🅝

Class Name

LatentKeyframeGroup

Category
Adv-ControlNet 🛂🅐🅒🅝/keyframes
Author
Kosinkadink (Account age: 3725days)
Extension
ComfyUI-Advanced-ControlNet
Latest Updated
2024-06-28
Github Stars
0.44K

How to Install ComfyUI-Advanced-ControlNet

Install this extension via the ComfyUI Manager by searching for ComfyUI-Advanced-ControlNet
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-Advanced-ControlNet 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

Latent Keyframe Group 🛂🅐🅒🅝 Description

Manage collection of LatentKeyframe objects for AI art generation, enabling efficient organization and retrieval for smooth transitions.

Latent Keyframe Group 🛂🅐🅒🅝:

The LatentKeyframeGroup class is designed to manage a collection of LatentKeyframe objects, which are used to represent keyframes in a latent space for AI art generation. This class provides functionalities to add, retrieve, and clone keyframes, ensuring that they are organized and easily accessible. By maintaining a sorted list of keyframes based on their batch_index, it allows for efficient management and retrieval of keyframes, which is crucial for tasks that involve temporal or sequential data processing. The LatentKeyframeGroup is particularly useful in scenarios where you need to interpolate between different states or strengths of keyframes, enabling smooth transitions and consistent results in your AI-generated art.

Latent Keyframe Group 🛂🅐🅒🅝 Input Parameters:

batch_index

The batch_index parameter is an integer that specifies the position of the keyframe within a batch. It is used to identify and sort keyframes within the LatentKeyframeGroup. The batch_index ensures that keyframes are processed in the correct order, which is essential for maintaining the temporal or sequential integrity of the data. The minimum value is determined by the system's constraints, and the maximum value is typically set to a large integer to accommodate extensive batches. The default value is 0.

strength

The strength parameter is a float that represents the intensity or influence of a keyframe. It is used to control the impact of a keyframe on the overall output. The strength value can range from 0.0 to 10.0, with a default value of 1.0. Adjusting the strength allows you to fine-tune the effect of each keyframe, enabling more precise control over the generated art.

prev_latent_kf

The prev_latent_kf parameter is an optional input that accepts a LatentKeyframeGroup object. It allows you to pass in a previously created group of keyframes, which can be useful for building upon or modifying existing keyframe sequences. If not provided, a new LatentKeyframeGroup will be created.

Latent Keyframe Group 🛂🅐🅒🅝 Output Parameters:

LATENT_KF

The LATENT_KF output parameter is a LatentKeyframeGroup object that contains the updated collection of keyframes. This output is essential for further processing or interpolation tasks, as it provides a structured and sorted set of keyframes that can be used to generate smooth transitions and consistent results in AI art projects.

Latent Keyframe Group 🛂🅐🅒🅝 Usage Tips:

  • To ensure smooth transitions between keyframes, always sort your keyframes by batch_index before processing.
  • Use the strength parameter to fine-tune the influence of each keyframe, allowing for more precise control over the generated art.
  • When working with existing keyframes, utilize the prev_latent_kf parameter to build upon or modify the current keyframe sequence without starting from scratch.

Latent Keyframe Group 🛂🅐🅒🅝 Common Errors and Solutions:

IndexError: list index out of range

  • Explanation: This error occurs when trying to access a keyframe at an index that does not exist in the keyframes list.
  • Solution: Ensure that the index you are trying to access is within the range of the keyframes list. Use the is_empty method to check if the list is empty before accessing elements.

ValueError: Expected strengths to be an iterable input

  • Explanation: This error occurs when the strengths parameter is not an iterable (e.g., list or tuple) or a single float/int value.
  • Solution: Ensure that the strengths parameter is either a single float/int or an iterable containing float values. If passing a single value, wrap it in a list or tuple to avoid this error.

Latent Keyframe Group 🛂🅐🅒🅝 Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI-Advanced-ControlNet
RunComfy

© Copyright 2024 RunComfy. All Rights Reserved.

RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals.