[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]

![AINativeF Avatar](https://lunarcrush.com/gi/w:24/cr:twitter::1795402815298486272.png) AI Native Foundation [@AINativeF](/creator/twitter/AINativeF) on x 2116 followers
Created: 2025-07-26 00:51:09 UTC

X. nablaNABLA: Neighborhood Adaptive Block-Level Attention

🔑 Keywords: NABLA, Video Diffusion Transformers, Block-Level Attention, Sparsity Patterns, AI-generated

💡 Category: Generative Models

🌟 Research Objective:
   - Introduce NABLA, a Neighborhood Adaptive Block-Level Attention mechanism to enhance computational efficiency without compromising generative quality in video diffusion transformers.

🛠️ Research Methods:
   - Employ block-wise attention with adaptive sparsity-driven threshold to reduce computational overhead.
   - Seamlessly integrate with PyTorch's Flex Attention operator.

💬 Research Conclusions:
   - NABLA achieves up to 2.7x faster training and inference compared to baseline while maintaining quantitative metrics and visual quality.

👉 Paper link:

![](https://pbs.twimg.com/media/GwvqVO9bgAA7sc3.png)

XX engagements

![Engagements Line Chart](https://lunarcrush.com/gi/w:600/p:tweet::1948908917138096640/c:line.svg)

**Related Topics**
[generative](/topic/generative)
[coins ai](/topic/coins-ai)

[Post Link](https://x.com/AINativeF/status/1948908917138096640)