ComfyUI Node: FramePack Create Keyframes (HY)

FramePack Create Keyframes (HY):

The CreateKeyframes_HY node is designed to facilitate the creation of keyframes within a video processing workflow, specifically tailored for AI art applications. This node is particularly useful for managing and preparing latent variables that represent the starting point of a video sequence. It operates in a "Single Keyframe Mode," where it processes the initial latent samples derived from a keyframe, ensuring they are in the correct format and shape for further processing. The node is adept at handling multi-frame latent samples by isolating the first frame, which is crucial for maintaining consistency in video generation tasks. By preparing these latent variables, the node sets the stage for smooth transitions and coherent video outputs, making it an essential tool for artists looking to create dynamic and visually appealing AI-generated videos.

FramePack Create Keyframes (HY) Input Parameters:

keyframe_1

This parameter represents the initial keyframe from which the latent samples are derived. It is crucial for setting the starting point of the video sequence. The node expects this input to be in a specific shape, and it will raise an error if the shape is incorrect. The keyframe should ideally contain a single frame, but if multiple frames are present, only the first frame will be used. This ensures that the video generation process begins with a consistent and well-defined starting point.

video_length_seconds

This parameter defines the total duration of the video in seconds. It is essential for determining the overall length of the video sequence and influences how the keyframes are distributed over time. A longer video length will result in more frames being generated, which can impact the processing time and the final output's smoothness.

fps

Frames per second (fps) is a critical parameter that dictates the frame rate of the video. It determines how many frames are displayed per second, affecting the video's smoothness and fluidity. A higher fps value results in a smoother video but may require more processing power and time.

window_size

The window size parameter is used to define the number of frames considered in a single processing window. It impacts how the keyframes are managed and can influence the transition smoothness between frames. A larger window size may provide more context for each frame, leading to more coherent transitions.

FramePack Create Keyframes (HY) Output Parameters:

samples

This output parameter contains the processed latent samples that are ready for use in video generation. These samples are crucial for defining the visual content of each frame in the video sequence. By ensuring the samples are in the correct format and shape, the node facilitates seamless integration into the video processing pipeline.

video_length_seconds

This output reiterates the total duration of the video, confirming the length for subsequent processing stages. It ensures that all downstream processes are aligned with the intended video length.

fps

The output fps confirms the frame rate for the video, ensuring consistency in how frames are displayed over time. This is crucial for maintaining the desired smoothness and visual quality of the video.

window_size

This output confirms the window size used during processing, providing context for how frames were managed and transitions were handled. It is important for understanding the processing dynamics and ensuring the final video meets the desired specifications.

FramePack Create Keyframes (HY) Usage Tips:

• Ensure that the keyframe_1 input is correctly formatted and contains only the necessary frames to avoid processing errors.
• Adjust the fps parameter according to the desired smoothness of the video; higher fps values result in smoother videos but require more resources.
• Use an appropriate window_size to balance between processing time and transition smoothness, especially for longer videos.

FramePack Create Keyframes (HY) Common Errors and Solutions:

"起始潜变量 (keyframe_1) 形状错误: {start_latent_samples.shape}"

• Explanation: This error occurs when the shape of the initial latent samples does not meet the expected format, which is crucial for processing.
• Solution: Verify that the keyframe_1 input is correctly formatted and contains the appropriate number of dimensions. Ensure it is either a single frame or that the node is set to handle multiple frames correctly.

"起始潜变量包含多帧，仅使用第一帧"

• Explanation: This message indicates that the input latent samples contain multiple frames, but only the first frame will be used for processing.
• Solution: If multiple frames are not intended, adjust the input to ensure only the necessary frame is included. If multiple frames are intended, ensure the node is configured to handle them appropriately.