The HyVideoLatentPreview node is a part of the HunyuanVideoWrapper for ComfyUI. This node is designed to provide a visual preview of latent representations in video processing workflows. It translates the latent video data into RGB images, offering insights into the latent space without the need for full video decoding.
The primary purpose of this node is to transform latent video data into a human-readable RGB format. This can be useful for debugging and visualization, allowing users to observe the latent structures directly.
samples: This is the latent video data that will be processed. It should be the output of a previous step in your ComfyUI workflow that involves video data encoded in a latent space.
seed: An integer value used for generating random numbers. This seed ensures reproducibility when generating the RGB preview images.
min_val: A float value indicating the minimum threshold for scaling the latent values. This can adjust how the latent values are mapped to RGB colors.
max_val: A float value indicating the maximum threshold for scaling the latent values.
r_bias: A float value for applying a bias to the red channel, effectively modifying the overall red tone in the output images.
g_bias: A float value for applying a bias to the green channel.
b_bias: A float value for applying a bias to the blue channel.
images: This is a collection of RGB images generated from the latent video data. These images represent the visual translation of the latent space.
latent_rgb_factors: A string representation of the RGB factors used for scaling and transforming the latent data into images.
Visualization: Use the HyVideoLatentPreview node to examine the latent video data before proceeding to further processing steps. This can be particularly useful when tuning parameters or debugging a video processing pipeline.
Debugging: By providing a direct view of the latent data, this node helps identify potential issues or verify that the latent encoding is proceeding as expected.
Parameter Tuning: Adjust biases and scaling factors to see how they impact the representation of the latent space. This can guide decisions in refining video processing workflows.
Custom Biases: The node allows users to apply specific biases to the RGB channels. This feature can be used creatively to emphasize certain features within the latent data.
Reproducibility: By setting a specific seed, users can ensure that the transformation of latent data to RGB images is consistent across multiple runs.
Adaptability: The min and max values for scaling provide flexibility in how latent values are mapped to the RGB color space, enabling customized visualizations.
Interaction with Other Nodes: Use this node's output images as reference points or visual checks before sending data for full decoding or to other analytical nodes.
By integrating HyVideoLatentPreview into a ComfyUI workflow, users gain a powerful tool for visualizing and understanding the complex structures within latent video representations.