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ComfyUI Video Anti-Aliasing Pack

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Anti-aliasing nodes for ComfyUI image and video workflows. VideoTAADLAA combines TAA with a DLAA-inspired pipeline for sharper, more stable results, while VideoAdaptiveAA focuses on aliasing-prone regions. It uses temporal accumulation, jittered sampling, and CNN-based refinement to improve edge quality.


Important

Disclaimer This node does not use NVIDIA's closed-source SDKs or native DLAA/DLSS binaries. Instead, it is a custom adaptation of Temporal and Spatial Anti-Aliasing techniques commonly found in modern game engines, rebuilt entirely from scratch using PyTorch tensor architecture specifically for ComfyUI video post-processing.


Preview

TAA + DLAA Anti-Aliasing Adaptive Anti-Aliasing

Models

DLAANet.safetensors is the main 1x DLAA refinement model for reducing aliasing artifacts while preserving edge sharpness. DLAATexture.safetensors is a 1x detail refinement model for restoring fine texture and micro-detail after the DLAA pass.

Note: Both models keep the original image resolution and are not ESRGAN models.


Features

  • Temporal Anti-Aliasing (TAA): Blends frame history to reduce flicker and sub-pixel jitter.
  • Neural Reconstruction: DLAA-inspired model for high-quality edge restoration.
  • Hybrid Pipeline: Combines temporal accumulation with neural reconstruction for stable, high-quality results.
  • Reduced Ghosting: Motion-aware suppression to minimize trailing artifacts in fast motion.
  • 4-Offset Jitter: Deterministic sub-pixel jitter for sharper and more stable reconstruction.
  • Edge-Preserving Clarity: Sobel-based detection preserves fine textures while reducing aliasing.
  • Frequency-Aware Refinement: Uses frequency and perceptual losses for cleaner, sharper results.
  • Lightweight Model: Optimized for fast inference with minimal VRAM usage.

Comparison

AdaptiveAA Comparison


TAA + DLAA Comparison


🚀 How to use

Add the node to your workflow and choose a preset.

Recommended starting point:

  • Use Auto for general footage.
  • Use Performance for longer videos or faster previews.
  • Use Balanced for stable video cleanup with a good quality/speed balance.
  • Use High Detail for hair, fur, wires, fine lines, and high-detail edges.

Presets

The node uses a simple game-style quality preset system:

Preset Description
Auto Automatically adjusts settings based on scene motion. Good default for most videos.
Performance Faster processing for longer videos. Uses lighter detail cleanup while keeping the image stable.
Balanced General-purpose preset with a balance between quality and speed.
High Detail Best quality for fine detail, edge cleanup, and temporal refinement. Slower.

Start with Auto, then adjust based on your content.


Installation

  1. Install via ComfyUI Manager (Search for "Anti-Aliasing Pack") or clone this repo into your custom_nodes folder.
  2. Note: The required models will be automatically downloaded when you first run the node.
  3. No additional Python dependencies (requirements) are required.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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