KJNodes/wangenerated

WanVideo Enhance A Video (native)(WanVideoEnhanceAVideoKJ)

This node is based on the technical principles of the 'Enhance-A-Video' project, which dynamically patches the attention modules within the model by injecting an adjustable enhancement weight into the diffusion process.

Wan Video Enhance A Video KJ

model
latent
model
weight
2.000
KJNodes

The WanVideo Enhance A Video (native) node is based on the technical principles of the "Enhance-A-Video" project. It dynamically patches the internal attention modules of a model by injecting an adjustable enhancement weight into the model's diffusion process.

The WanVideo Enhance A Video (native) node is an experimental node designed to enhance the effects of video generation or processing by modifying the model's attention mechanism. Its core function is to adjust the model's expressiveness on video frame sequences to improve the visual quality or specific attributes of the output video.

Node Functionality

This node is based on the technical principles of the "Enhance-A-Video" project. It dynamically patches the internal attention modules of a model by injecting an adjustable enhancement weight into the model's diffusion process. It accepts a standard diffusion model as input, utilizes the frame count information from the latent space tensor to guide the enhancement process, and ultimately outputs a modified copy of the model with video enhancement capabilities.

Node Parameter Description - WanVideo Enhance A Video (native)

Connection Inputs (Inputs)

Parameter NameData TypeRequiredDefault ValueRange/OptionsDescription
modelMODELYes--The diffusion model to which the enhancement will be applied.
latentLATENTYes--Only used to get the latent count

Control Parameters (Parameters)

Parameter NameData TypeRequiredDefault ValueRange/OptionsDescription
weightFLOATYes2.00.0 - 10.0 (Step: 0.001)Strength of the enhance effect

Output

Parameter NameData TypeDescription
modelMODELOutput parameter model: Outputs a new, enhanced copy of the model, which can be used in subsequent video generation steps.

Usage Scenarios

In video generation or video-to-video conversion workflows, you can insert this node after the main model loading node. For example, after loading a base text-to-video model, process that model with this node, then connect the output enhanced model to a sampler. This applies the enhancement effect during the generation process, resulting in clearer, more detailed video sequences.

Notes

This node is currently marked as "experimental"; its stability and general applicability may not be fully verified. It relies on specific model architectures (e.g., diffusion models containing blocks and self_attn). Using it on incompatible models may not produce the expected results or may cause errors.

The WanVideo Enhance A Video (native) node is from the ComfyUI-KJNodes node package.

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