ComfyUI Video Anti-Aliasing Pack

<p align="center"> <img src="https://img.shields.io/badge/ComfyUI--Manager-Verified-green?style=flat-square&logo=github" alt="ComfyUI Manager Verified"> <img src="https://flat.badgen.net/github/release/SOLRICKS/comfyui-solricks?icon=github&label=release&color=orange&cache=3600" alt="Release"> <img src="https://img.shields.io/badge/python-3.10%2B-blue?style=flat-square&logo=python" alt="Python 3.10+"> <a href="https://github.com/SOLRICKS/comfyui-solricks/stargazers"> <img src="https://flat.badgen.net/github/stars/SOLRICKS/comfyui-solricks?icon=github&label=stars&color=24292f&cache=3600" alt="GitHub stars"> </a> </p>

Available in ComfyUI Manager. Search for SOLRICKS.

Anti-aliasing and detail refinement nodes for ComfyUI image and video workflows. VideoTAADLAA combines temporal anti-aliasing, jittered sampling, and DLAA-inspired refinement for cleaner, more stable edges. VideoDetailRefiner adds a lightweight detail and texture refinement pass for image and video outputs. VideoAdaptiveAA provides a lightweight edge-focused cleanup pass for aliasing-prone regions.

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[!IMPORTANT] Disclaimer This node pack 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.

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Preview

| TAA + DLAA Anti-Aliasing | Adaptive Anti-Aliasing | | :---: | :---: | | <img src="https://github.com/SOLRICKS/comfyui-solricks/blob/main/assets/video_taadlaa.png" width="100%"> | <img src="https://github.com/SOLRICKS/comfyui-solricks/blob/main/assets/video_adaptive_aa.png" width="100%"> |

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Models

The pack includes two 1x refinement models:

• DLAANet.safetensors — main anti-aliasing refinement model for cleaner edges.
• DLAATexture.safetensors — optional texture refinement model for fine detail and micro-texture.

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

Note: DLAATexture.safetensors is a 1x detail refinement model and does not upscale image resolution.

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Features

• Temporal stability: Reduces flicker, shimmer, and sub-pixel jitter across frames.
• DLAA-inspired refinement: Improves edge quality while keeping the original resolution.
• Motion-aware cleanup: Helps reduce ghosting and trailing artifacts in moving scenes.
• Edge-preserving detail: Uses edge detection to clean aliasing without over-blurring fine texture.
• Lightweight inference: Designed for ComfyUI post-processing with modest VRAM usage.
• Detail refinement: Enhances fine texture, hair, fabric, small edges, and micro-detail.

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Comparison

<p align="center"> <strong>AdaptiveAA Comparison — Before / After</strong> </p> <table align="center"> <tr> <td align="center"><strong></strong></td> <td align="center"><strong></strong></td> </tr> <tr> <td width="33%"><img src="assets/compare_1.png" width="100%"></td> <td width="33%"><img src="assets/compare_2.png" width="100%"></td> </tr> </table> <br> <p align="center"> <strong>TAA + DLAA Comparison — Before / After</strong> </p> <table align="center"> <tr> <td align="center"><strong></strong></td> <td align="center"><strong></strong></td> <td align="center"><strong></strong></td> </tr> <tr> <td width="33%"><video src="https://github.com/user-attachments/assets/4109726e-c5db-404b-9c0d-23d49b9641cf" width="100%" controls autoplay muted loop> </video></td> <td width="33%"><video src="https://github.com/user-attachments/assets/05f8cbb1-9388-44e5-9274-0ee80d6aa37b" width="100%" controls autoplay muted loop> </video></td> <td width="33%"><video src="https://github.com/user-attachments/assets/ddf7c74b-289d-48a7-ab43-47558aa9deab" width="100%" controls autoplay muted loop> </video></td> </tr> </table>

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🚀 How to use

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.

The node uses a simple game-style 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.

For LTX or Wan workflows, run this node separately as the final post-process.

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Video Detail Refiner

Use Video Detail Refiner as an optional final pass after image or video generation, or after the main Video Anti-Aliasing (TAA + DLAA) node.

Recommended starting point:

• Use Photo for single images.
• Use Video Balanced for most videos.
• Use Video High Detail for hair, fur, fabric, wires, and fine texture.
• Use Soft for safer, smoother refinement.
• Use Performance for faster previews or lower VRAM usage.

| Preset | Description | |---|---| | Photo | Detail refinement tuned for single images. | | Video Balanced | Good default for most videos with stable detail enhancement. | | Video High Detail | Stronger detail and texture refinement for fine edges, hair, fur, fabric, and micro-texture. | | Soft | Safer refinement with smoother output and stronger protection. | | Performance | Faster processing with model pass disabled. Useful for previews and lower VRAM setups. |

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Installation

1. Install via ComfyUI Manager by searching for SOLRICKS or Anti-Aliasing Pack, or clone this repo into your custom_nodes folder.
2. The required model files are included with this custom node.
3. No additional Python dependencies are required.

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License

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