Iris-3B: pixel-space generation & general vision learner. A 3B diffusion transformer that generates every pixel directly (no VAE); the same prior, fine-tuned, does monocular depth estimation and 4x image restoration. Paper, weights, training code and demo.
Official Implementation of "DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models"
Multimodal RL training framework for diffusion & omni models
A unified framework for easy fine-tuning in Flow-Matching models
[ICASSP 2024] π΅ Matcha-TTS: A fast TTS architecture with conditional flow matching
Bilingual (δΈζ+EN) ML / LLM / diffusion / agent interview cheat sheets for AI η§ζ β generated by ARIS /interview-cheatsheet, rendered by /render-html into single-file HTML, reads anywhere β plus a CVβDBLP-fact-checked academic homepage generator and hand-authored long-form blogs π±
Implementation of Οβ, the robotic foundation model architecture proposed by Physical Intelligence
Official research code for GlucoFlow: few-step multimodal probabilistic glucose forecasting.
[ECCV 2026] Official implementation of "HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models"
Generative models from scratch, progressively implemented in NumPy, C, and CUDA to uncover what ML frameworks hide.
Efficient Stable Diffusion Fine-Tuning Framework 2026: Lightweight Config-Driven Pipeline
Zero-Config LoRA Fine-Tuning Studio for Diffusers 2026: The Ultimate Lightweight Trainer