We have released our latest work on quantizing few-step diffusion models using training-free scheduler adaptation! Arxiv: arxiv.org/pdf/2509.01624 Github: github.com/enyac-group/...

We’re excited to pre-release our latest work: Quamba2 🔧 Supports W4A8 / W4A16 / W4AX / W8A8 for Mamba1 and Mamba2 🚀 Achieves 4× memory reduction and 3× generation speedup ⚡️ Enables 8B model inference on Orin Nano 8G at 13 tokens/sec 🔥 Outperforms W4A8KV4 Llama3-8B in both speed and quality

We’re researching how people perceive visual artifacts in AI images — and your input would really help. It takes about 3 minutes. Participate here: t.co/WXuPdg9HKv