ComfyUI Node: RunningHub FramePack F1

RunningHub FramePack F1:

RunningHub_FramePack_F1 is a sophisticated node designed to facilitate the generation and manipulation of video frames using advanced AI models. This node leverages the HunyuanVideoTransformer3DModelPacked to process video data, enabling the creation of high-quality video content from input images. It is particularly beneficial for AI artists looking to generate video sequences with specific characteristics, such as frame rate and resolution, while maintaining high fidelity and detail. The node is equipped to handle various video processing tasks, including frame extraction, latent space manipulation, and video encoding, making it a versatile tool for creative video projects. By utilizing this node, you can efficiently transform static images into dynamic video content, harnessing the power of AI to enhance your artistic endeavors.

RunningHub FramePack F1 Input Parameters:

pt

This parameter likely refers to a specific point in time or a particular setting within the video processing context. It influences how the video frames are generated or manipulated, although specific details are not provided in the context.

n_prompt

The n_prompt parameter is used to provide a textual prompt or description that guides the video generation process. It impacts the thematic and visual elements of the resulting video, allowing you to specify the desired content or style.

seed

The seed parameter is crucial for ensuring reproducibility in video generation. By setting a specific seed value, you can achieve consistent results across multiple runs, as it initializes the random number generator used in the process.

total_second_length

This parameter defines the total duration of the generated video in seconds. It directly affects the length of the video output, allowing you to control how long the final video will be.

fps

The fps parameter stands for frames per second, determining the smoothness and fluidity of the video playback. A higher fps value results in smoother motion, while a lower value may produce a more choppy effect.

steps

The steps parameter likely refers to the number of processing steps or iterations the model undergoes during video generation. It can impact the quality and detail of the final output, with more steps potentially leading to better results.

gs

This parameter is not explicitly defined in the context, but it may relate to a specific setting or configuration within the video generation process, influencing the model's behavior or output.

cfg

The cfg parameter is typically used to configure various settings or hyperparameters within the model. It allows you to fine-tune the video generation process to achieve desired results.

rs

The rs parameter is not explicitly defined in the context, but it may relate to a specific setting or configuration within the video generation process, influencing the model's behavior or output.

latent_window_size

This parameter specifies the size of the latent window used during video generation. It affects how the model processes and manipulates the latent space, impacting the final video output.

use_teacache

The use_teacache parameter determines whether to enable the teacache feature, which can optimize the model's performance by caching intermediate results. This can lead to faster processing times and reduced computational load.

scale

The scale parameter is used to adjust the size or resolution of the generated video. It allows you to upscale or downscale the video output, depending on your specific requirements.

gpu_memory_preservation

This parameter is set to a default value of 6 and is used to manage GPU memory usage during video generation. It helps prevent memory overflow and ensures efficient utilization of available resources.

RunningHub FramePack F1 Output Parameters:

frames

The frames output parameter represents the tensor containing the extracted or generated video frames. It is a crucial component of the video output, providing the visual content that can be further processed or saved as a video file.

fps

The fps output parameter indicates the frames per second of the generated video. It provides information about the playback speed and smoothness of the video, allowing you to assess the quality of the output.

RunningHub FramePack F1 Usage Tips:

• Ensure that the n_prompt parameter is well-defined to guide the video generation process effectively, as it significantly influences the thematic elements of the output.
• Utilize the seed parameter to achieve consistent results across multiple runs, especially when fine-tuning the video generation process.
• Adjust the fps parameter according to the desired smoothness of the video playback, keeping in mind that higher values may require more computational resources.
• Consider enabling the use_teacache feature to optimize performance and reduce processing times, particularly for longer video sequences.

RunningHub FramePack F1 Common Errors and Solutions:

Error loading FramePack F1 transformer model

• Explanation: This error occurs when the FramePack F1 model weights are not correctly placed in the specified directory.
• Solution: Ensure that the model weights, such as transformer.safetensors, are correctly located in the FramePackF1_HY directory.

Error extracting frames using torchvision.io.read_video

• Explanation: This error indicates a problem with reading video frames from the specified file path.
• Solution: Verify that the video file exists at the specified path and is accessible. Check for any file corruption or format issues.

F1 Video generation failed or file not found

• Explanation: This error suggests that the video generation process did not complete successfully, or the output file is missing.
• Solution: Check the input parameters and ensure that all required settings are correctly configured. Verify that there is sufficient disk space and that the output directory is writable.