ComfyUI > Nodes > ComfyUI > Hunyuan Video 15 Latent Upscale With Model

ComfyUI Node: Hunyuan Video 15 Latent Upscale With Model

Class Name

HunyuanVideo15LatentUpscaleWithModel

Category
latent
Author
ComfyAnonymous (Account age: 763days)
Extension
ComfyUI
Latest Updated
2026-05-13
Github Stars
112.77K

How to Install ComfyUI

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

Visit ComfyUI Online for ready-to-use ComfyUI environment

  • Free trial available
  • 16GB VRAM to 80GB VRAM GPU machines
  • 400+ preloaded models/nodes
  • Freedom to upload custom models/nodes
  • 200+ ready-to-run workflows
  • 100% private workspace with up to 200GB storage
  • Dedicated Support

Run ComfyUI Online

Hunyuan Video 15 Latent Upscale With Model Description

Video upscaling node using specified model to enhance resolution for AI artists and video creators.

Hunyuan Video 15 Latent Upscale With Model:

The HunyuanVideo15LatentUpscaleWithModel node is designed to enhance the resolution of video content by upscaling latent representations using a specified model. This node is particularly beneficial for AI artists and video creators who wish to improve the quality of their video outputs without losing the original content's essence. By leveraging advanced upscaling techniques, this node allows you to transform lower-resolution latent video data into higher-resolution outputs, making it ideal for applications where clarity and detail are paramount. The node utilizes a model-based approach, ensuring that the upscaling process is both efficient and effective, maintaining the integrity of the original video while enhancing its visual appeal.

Hunyuan Video 15 Latent Upscale With Model Input Parameters:

model_type

The model_type parameter specifies the type of upscaling model to be used. It determines the resolution target for the upscaling process, such as "720p" or "1080p". This choice impacts the quality and computational requirements of the upscaling operation. Selecting a higher resolution model will result in better quality but may require more processing power. The available options are typically predefined in the system, and choosing the appropriate model type is crucial for achieving the desired output quality.

config

The config parameter provides the configuration settings for the selected upscaling model. This includes various hyperparameters and settings that dictate how the model processes the latent data. Proper configuration is essential for optimizing the model's performance and ensuring that the upscaling process aligns with your specific requirements. The configuration should be tailored to the characteristics of the input data and the desired output quality.

Hunyuan Video 15 Latent Upscale With Model Output Parameters:

samples

The samples output parameter contains the upscaled latent video data. This output represents the enhanced version of the input latent data, now at a higher resolution as specified by the model type. The upscaled samples are ready for further processing or direct use in video production, offering improved visual quality and detail.

downscale_ratio_spacial

The downscale_ratio_spacial output parameter indicates the spatial downscale ratio applied during the upscaling process. This value provides insight into the transformation applied to the original latent data, helping you understand the extent of the resolution enhancement. It is a useful metric for evaluating the effectiveness of the upscaling operation.

Hunyuan Video 15 Latent Upscale With Model Usage Tips:

  • Ensure that the model_type is selected based on the desired output resolution and available computational resources to balance quality and performance.
  • Customize the config parameter to fine-tune the model's behavior, optimizing it for the specific characteristics of your input data and the visual quality you aim to achieve.

Hunyuan Video 15 Latent Upscale With Model Common Errors and Solutions:

ModelNotFoundError

  • Explanation: This error occurs when the specified model_type does not correspond to any available upscaling model in the system.
  • Solution: Verify that the model_type is correctly specified and matches one of the predefined options, such as "720p" or "1080p".

ConfigurationError

  • Explanation: This error indicates that the config parameter contains invalid settings or is improperly formatted.
  • Solution: Review the configuration settings to ensure they are valid and compatible with the selected model type. Adjust any incorrect values and ensure the configuration aligns with the model's requirements.

Hunyuan Video 15 Latent Upscale With Model Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI
RunComfy
Copyright 2025 RunComfy. All Rights Reserved.

RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Models, enabling artists to harness the latest AI tools to create incredible art.

Hunyuan Video 15 Latent Upscale With Model