2026-04-28 22:53:21 +03:00
2026-04-22 01:48:34 +03:00
2026-04-22 00:38:58 +03:00
2026-04-28 14:59:40 +03:00
2026-04-23 01:54:44 +03:00
2026-04-27 18:34:41 +03:00
2026-04-27 18:34:29 +03:00
2026-04-28 22:53:21 +03:00
2026-04-28 22:53:21 +03:00
2026-04-17 13:32:01 +03:00
2026-04-27 11:27:10 +03:00
2026-04-28 21:10:20 +03:00
2026-04-26 19:21:16 +03:00
2026-04-26 14:06:07 +03:00
2026-04-28 20:50:22 +03:00

ComfyUI Video Anti-Aliasing Pack

Manager Release Python Stars

High-quality anti-aliasing nodes for video and image processing in ComfyUI 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

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 Balanced for stable video cleanup.
  • Use Detail for images, hair, fur, wires, and high-detail edges.
  • Use Smooth for smoother motion and softer temporal blending.

Presets

Presets replace manual parameter tuning and are designed to cover most use cases.

Built-in presets for common use cases:

  • Auto — balanced default behavior.
  • Balanced — stable anti-aliasing with moderate sharpening.
  • Detail — stronger edge and detail reconstruction.
  • Smooth — smoother temporal blending for softer motion.

Start with Auto, then adjust based on your content.


Installation

Recommended: Install via ComfyUI Manager.

Manual installation:

cd ComfyUI/custom_nodes/
git clone https://github.com/MSXYZ-GenAI/comfyui-msxyz.git

License

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

S
Description
No description provided
Readme MIT
349 MiB
Languages
Python 96.2%
Batchfile 3.8%