ComfyUI Node: RunningHub FramePack

RunningHub FramePack:

The RunningHub_FramePack node is designed to facilitate the generation of video frames from textual prompts and reference images, leveraging advanced AI models for video synthesis. This node integrates multiple pre-trained models to encode text and images, transforming them into a coherent video sequence. It is particularly beneficial for AI artists looking to create dynamic visual content from static inputs, offering a seamless way to translate creative ideas into animated visuals. The node's primary function is to process input prompts and images, apply sophisticated machine learning techniques, and output a series of frames that form a video. This capability is crucial for artists who wish to explore the intersection of text, image, and motion, providing a powerful tool for creative expression.

RunningHub FramePack Input Parameters:

ref_image

The ref_image parameter is an essential input that serves as the visual reference for the video generation process. It is an image that the node uses to guide the style and content of the generated frames. This parameter ensures that the output video maintains a consistent visual theme aligned with the provided image.

prompt

The prompt parameter is a multiline string input that describes the desired content or theme of the video. It acts as a textual guide for the AI models, influencing the narrative or visual elements of the generated frames. This parameter allows for creative flexibility, enabling users to specify detailed instructions or concepts for the video.

total_second_length

The total_second_length parameter determines the duration of the generated video in seconds. It accepts integer values ranging from 1 to 120, with a default of 5 seconds. This parameter directly impacts the length of the video, allowing users to control how long the animation will be.

fps

The fps parameter specifies the frames per second for the output video, affecting its smoothness and quality. It accepts integer values between 1 and 60, with a default of 30 fps. A higher fps results in smoother motion, while a lower fps may create a more choppy effect.

seed

The seed parameter is an integer that initializes the random number generator, ensuring reproducibility of the video generation process. By setting a specific seed, users can achieve consistent results across multiple runs, which is useful for iterative creative processes.

steps

The steps parameter defines the number of inference steps the model will take during video generation. It accepts values from 1 to 100, with a default of 25. More steps can lead to higher quality outputs but may increase processing time.

gs

The gs parameter, or Distilled CFG Scale, is a float that influences the guidance scale during video generation. It ranges from 1.0 to 32.0, with a default of 10.0. This parameter affects the strength of the model's adherence to the prompt, balancing creativity and fidelity to the input.

use_teacache

The use_teacache parameter is a boolean that determines whether to enable the teacache feature, which can optimize the model's performance by caching intermediate results. It defaults to True, enhancing efficiency during repeated operations.

upscale

The upscale parameter is a float that controls the resolution scaling factor of the output video. It ranges from 0.1 to 2.0, with a default of 1.0. This parameter allows users to adjust the resolution of the generated frames, either increasing detail or reducing size for faster processing.

n_prompt

The n_prompt parameter is an optional multiline string that provides additional negative prompts to guide the video generation process. It allows users to specify elements or themes to avoid, refining the output by excluding unwanted content.

RunningHub FramePack Output Parameters:

frames

The frames output parameter represents the series of images that make up the generated video. These frames are the primary output of the node, reflecting the visual content created based on the input parameters. They are crucial for assembling the final video product.

fps

The fps output parameter indicates the frames per second of the generated video, confirming the smoothness and quality of the animation. It provides users with feedback on the temporal resolution of the output, ensuring it meets their expectations.

RunningHub FramePack Usage Tips:

• To achieve the best results, carefully craft your prompt to be as descriptive and specific as possible, as this will guide the AI in generating more accurate and relevant video content.
• Experiment with different seed values to explore a variety of creative outputs from the same input parameters, allowing for a broader range of artistic expression.

RunningHub FramePack Common Errors and Solutions:

Error extracting frames using torchvision.io.read_video

• Explanation: This error occurs when the node fails to read the video file using the torchvision library, possibly due to an incorrect file path or unsupported video format.
• Solution: Ensure that the video file path is correct and that the file is in a supported format. Consider converting the video to a standard format like MP4 if issues persist.

Warning: FramePack F1 model directory not found

• Explanation: This warning indicates that the directory for the FramePack F1 model is missing, which may prevent the node from functioning correctly.
• Solution: Verify that the model directory exists and is correctly specified in the configuration. If necessary, download or reinstall the model files to the appropriate location.