2026-04-17 17:15:02 +03:00
2026-04-17 12:16:32 +03:00
2026-04-17 01:41:10 +03:00
2026-04-17 01:41:10 +03:00
2026-04-17 01:41:10 +03:00
2026-04-17 13:32:01 +03:00
2026-04-17 01:51:25 +03:00
2026-04-17 01:52:33 +03:00
2026-04-17 13:30:38 +03:00
2026-04-17 17:14:46 +03:00
2026-04-17 17:15:02 +03:00

ComfyUI Video Anti-Aliasing Pack

Manager Release Python Stars

Advanced anti-aliasing nodes for videos and images. VideoTAADLAA combines TAA with a DLAA-inspired pipeline for sharp, stable results, while VideoAdaptiveAA targets specific aliasing-prone regions. The system utilizes temporal accumulation, jittered sampling, and CNN-based refinement for superior 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
Video TAA + DLAA Node Video Adaptive AA Node

Features

  • Temporal Anti-Aliasing (TAA): Stabilizes flickering in video sequences using frame history.
  • DLAA-inspired neural refinement: Neural-based cleanup of residual aliasing without losing texture detail.
  • Ghosting-Free Logic: Advanced history clamping prevents trailing artifacts in fast motion.
  • Halton Sequence Jittering: Improves sub-pixel sampling for cleaner edges.
  • Edge-Aware Weighting: Preserves fine details while blending.
  • Adaptive Anti-Aliasing (AdaptiveAA): Targets only aliasing-prone regions for localized smoothing.

Comparison


AdaptiveAA Comparison


TAA + DLAA Comparison


Parameters

🚀 TAA & DLAA Parameters

  • taa_strength: Controls the impact of past frames. (Rec: 0.9 | Fast motion: 0.7 | Static: 0.95)
  • taa_alpha: Determines how quickly history updates. (Rec: 0.1 | Aggressive AA: 0.3 | Ghost-free: 0.05)
  • jitter_scale: Amount of sub-pixel shifting for edge detection. (Rec: 0.5 | Off: 0.0 | Maximum: 1.0)
  • dlaa_strength: Strength of the deep learning sharpening. (Rec: 0.7 | Pure AA: 0.0 | Aggressive: 1.0)

🎨 Edge AA & Control

  • edge_threshold: Determines which pixels are detected as edges. (Rec: 0.08 | Hard edges: 0.2 | All: 0.02)
  • blur_radius: The radius of the blur applied to edges. (Rec: 1 | Softer: 2–3 | Very soft: 4–5)
  • reset_history: Clears temporal history memory. (Normal: False | On scene change: True)

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%