ComfyUI > Nodes > TTP_Comfyui_FramePack_SE > TTPlanet_FramePack

ComfyUI Node: TTPlanet_FramePack

Class Name

TTPlanet_FramePack

Category
TTPlanet/FramePack
Author
TTPlanetPig (Account age: 525days)
Extension
TTP_Comfyui_FramePack_SE
Latest Updated
2025-04-25
Github Stars
0.04K

How to Install TTP_Comfyui_FramePack_SE

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

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TTPlanet_FramePack Description

Efficient video frame processing and manipulation node for ComfyUI, ideal for AI artists, offering frame extraction, blending, and video generation capabilities with advanced techniques for smooth transitions and high-quality outputs in various hardware configurations.

TTPlanet_FramePack:

TTPlanet_FramePack is a versatile node designed to facilitate the processing and manipulation of video frames within the ComfyUI framework. Its primary purpose is to handle video data efficiently, allowing for the extraction, transformation, and synthesis of frames to create seamless video outputs. This node is particularly beneficial for AI artists who wish to integrate video processing into their creative workflows, offering capabilities such as frame extraction, blending, and video generation. By leveraging advanced techniques like frame overlap and blending modes, TTPlanet_FramePack ensures smooth transitions and high-quality video outputs. Its design accommodates both high and low VRAM environments, making it adaptable to various hardware configurations. Overall, TTPlanet_FramePack serves as a powerful tool for artists looking to explore video-based AI art, providing a robust framework for video manipulation and generation.

TTPlanet_FramePack Input Parameters:

n_prompt

This parameter allows you to specify a negative prompt, which can be used to guide the video generation process by indicating what should be avoided in the output. It helps refine the results by providing additional context to the model.

seed

The seed parameter is used to initialize the random number generator, ensuring reproducibility of the video generation process. By setting a specific seed value, you can achieve consistent results across multiple runs. The default value is 31337.

total_second_length

This parameter defines the total length of the video in seconds. It determines how long the generated video will be, impacting the number of frames processed. The default value is 5 seconds.

latent_window_size

Latent window size specifies the number of frames considered in each processing window. It affects the granularity of the video processing, with larger values leading to more comprehensive frame analysis. The default value is 9.

steps

Steps refer to the number of inference steps used during the video generation process. More steps typically result in higher quality outputs but require more computational resources. The default value is 25.

cfg

CFG, or classifier-free guidance, is a parameter that influences the strength of guidance applied during video generation. It balances between creativity and adherence to the prompt. The default value is 1.

gs

GS, or guidance scale, determines the intensity of guidance applied to the model during video generation. Higher values lead to more pronounced adherence to the prompt. The default value is 32.

rs

RS, or rescale, adjusts the scale of guidance applied during video generation. It fine-tunes the balance between creativity and prompt adherence. The default value is 0.

gpu_memory_preservation

This parameter specifies the amount of GPU memory to preserve during processing, allowing the node to operate efficiently on systems with limited VRAM. The default value is 6 GB.

use_teacache

Use_teacache is a boolean parameter that enables or disables the use of teacache, a caching mechanism that can improve performance by storing intermediate results. The default setting is True.

resolution

Resolution defines the output video resolution, impacting the quality and size of the generated video. Common options include "480p" and higher resolutions for more detailed outputs. The default is "480p".

padding_mode

Padding mode determines the strategy used for padding frames during processing. Options include "default" and "constant," each offering different approaches to handling frame boundaries. The default is "optimized".

end_condition_strength

This parameter controls the strength of the end condition applied to the video generation process, influencing how the video concludes. The default value is 1.0.

enable_feature_fusion

Enable_feature_fusion is a boolean parameter that activates feature fusion, a technique that combines features from different frames to enhance video quality. The default setting is True.

history_weight

History weight determines the influence of previous frames on the current frame processing, affecting the continuity and smoothness of the video. The default value is 1.0.

history_decay

History decay specifies the rate at which the influence of previous frames diminishes over time, impacting the temporal consistency of the video. The default value is 0.0.

history_weight_min

This parameter sets the minimum weight for historical frames, ensuring a baseline level of influence on the current frame processing. The default value is 0.0.

use_flash_attention

Use_flash_attention is a boolean parameter that enables or disables the use of flash attention, a technique that can enhance processing speed and efficiency. The default setting is False.

use_sage_attention

Use_sage_attention is a boolean parameter that activates sage attention, a method that can improve the model's focus on relevant features during video generation. The default setting is False.

overlap_frames

Overlap frames specify the number of frames to overlap during processing, affecting the smoothness of transitions between frames. The default value is 33.

blend_mode

Blend mode determines the method used for blending overlapping frames, with options like "linear," "cosine," and "sigmoid" providing different transition effects. The default is "linear".

TTPlanet_FramePack Output Parameters:

frames

The frames output parameter provides the processed video frames as a sequence of images. These frames represent the final video output, ready for further manipulation or rendering. They are crucial for understanding the visual content generated by the node.

fps

FPS, or frames per second, indicates the frame rate of the generated video. It is a critical parameter for ensuring smooth playback and synchronization with audio or other media elements. The FPS value helps determine the temporal resolution of the video.

TTPlanet_FramePack Usage Tips:

  • To achieve smoother transitions between frames, experiment with different blend modes such as "cosine" or "sigmoid" to find the one that best suits your artistic vision.
  • Adjust the overlap_frames parameter to control the degree of frame overlap, which can enhance the continuity and fluidity of the video output.

TTPlanet_FramePack Common Errors and Solutions:

Error in exec

  • Explanation: This error occurs when there is an exception during the execution of the node, possibly due to incorrect parameter settings or resource limitations.
  • Solution: Check the input parameters for any incorrect values and ensure that your system has sufficient resources to handle the processing requirements. Adjust settings like gpu_memory_preservation if necessary.

History length must be >= overlap

  • Explanation: This error indicates that the specified overlap_frames value exceeds the available history length, leading to a mismatch in frame processing.
  • Solution: Reduce the overlap_frames value or increase the history length to ensure compatibility between these parameters.

TTPlanet_FramePack Related Nodes

Go back to the extension to check out more related nodes.
TTP_Comfyui_FramePack_SE
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