discrete-diffusion-models

dLLM: Simple Diffusion Language Modeling

Lumina-DiMOO - An Open-Sourced Multi-Modal Large Diffusion Language Model

Dimple, the first Discrete Diffusion Multimodal Large Language Model

Frequently updated list of dLLM (Diffusion Large Language Models) papers, models, and other resources

[ICCV2025] "Di[M]O: Distilling Masked Diffusion Models into One-step Generator", Yuanzhi Zhu, Xi Wang, Stéphane Lathuilière, Vicky Kalogeiton

Python package for P2 (Path Planning), a masked diffusion model sampling method for sequence generation (protein, text, etc.).

How hard can it be to implement a diffusion language model by hand? Easier than I thought, actually.

To make music production easier, we introduce Amadeus , a novel MIDI generation framework. While significantly improving generation quality, we have achieved a speedup of at least 4x compared to pure autoregressive models. We will continuously update the code, models, and datasets.

(ICML 2026) IDLM: Inverse-distilled Diffusion Language Models

📚📚Discrete denoising diffusion probabilistic (language) models in MLX

An implementation and analysis of two distinct Graph Neural Network (GNN) projects: Node Classification on a real-world citation network and Graph Generation using state-of-the-art generative models on synthetic data.

Official implementation for Insertion Based Sequence Generation with Learnable Order Dynamics