# #diffusion-models — MDRSS hashtag feed

> Public MDRSS cards tagged #diffusion-models.
> Canonical feed: https://mdrss.com/feeds/diffusion-models

## Cards (3)

### [SimpleTuner](https://mdrss.com/llm-engineering/models-and-training/2495/2495.md)

SimpleTuner is geared towards simplicity, with a focus on making the code easily understood. This codebase serves as a shared academic exercise, and contributions are welcome.

Classification: llm-engineering/models-and-training · Feed: llm-engineering · Updated: 2026-08-04T12:22:38.168Z · Version: 1

### [MOVA: Towards Scalable and Synchronized Video–Audio Generation](https://mdrss.com/multimodal/speech-and-audio/1611/1611.md)

We introduce MOVA (MOSS Video and Audio), a foundation model designed to break the "silent era" of open-source video generation. Unlike cascaded pipelines that generate sound as an afterthought, MOVA synthesizes video and audio simultaneously for perfect alignment.

Classification: multimodal/speech-and-audio · Feed: multimodal · Updated: 2026-08-04T12:22:38.168Z · Version: 1

### [TurboDiffusion](https://mdrss.com/multimodal/vision-and-media/1255/1255.md)

This repository provides the official implementation of TurboDiffusion, a video generation acceleration framework that can speed up end-to-end diffusion generation by $100 \sim 200\times$ on a single RTX 5090, while maintaining video quality. TurboDiffusion primarily uses SageAttention, SLA (Sparse-Linear Attention) for attention acceleration, and rCM for timestep distillation.

Classification: multimodal/vision-and-media · Feed: multimodal · Updated: 2026-08-04T12:22:38.168Z · Version: 1