[ICML 2025] Gaussian Mixture Flow Matching Models (GMFlow)

TurboDiffusion: 100–200× Acceleration for Video Diffusion Models

[Tutorial] Few-Step Distillation for Text-to-Image Generation: A Practical Guide

A configuration framework that enhances Claude Code with specialized commands, cognitive personas, and development methodologies.

rCM: SOTA Diffusion Distillation & Few-Step Video Generation based on sCM/MeanFlow

Official PyTorch Implementation of "Diffusion Transformers with Representation Autoencoders"

[ICLR 2025] Hallo2: Long-Duration and High-Resolution Audio-driven Portrait Image Animation

HunyuanImage-3.0: A Powerful Native Multimodal Model for Image Generation

Pytorch implementation of MeanFlow on ImageNet and CIFAR10

A mini-library for training consistency models.

Unofficial extension implementation of Self-Forcing to support I2V && 14B training.

Light Video Generation Inference Framework

Qwen-Image-Lightning: Speed up Qwen-Image model with distillation

A pipeline parallel training script for diffusion models.

Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

[ICML 2024] Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs (RPG)

Official implementation of BLIP3o-Series

The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

[ICLR'25 Oral] Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

[CVPR 2025 Oral] Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Benchmarking physical understanding in generative video models

[CVPR 2025 Oral]Infinity ∞ : Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"