Diffusion Models GitHub Repositories (2026) · Open Source Tools

Make videos on the computer you already own. FreeVideo runs MiniMax H3 in as little as 8 GB of VRAM and 16 GB of RAM, and adapts its acceleration path to your hardware.

A unified inference and post-training framework for accelerated video generation.

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

Pure MLX port of LTX-2 (LTX-2.3 & LTX-2.5) for Apple Silicon — text/image/audio-to-video generation with audio, natively on Metal

DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning

DMAD: Distribution Matching as Adversarial Distillation for Fast Visual Generation

[CVPR 2026] Towards Real-Time Diffusion-Based Streaming Video Super-Resolution — An efficient one-step diffusion framework for streaming VSR with locality-constrained sparse attention and a tiny conditional decoder.

Multimodal RL training framework for diffusion & omni models

Wunjo Make: Face Swap, Lip Sync, Control Remove Objects & Text & Background, Restyling, Audio Separator, Clone Voice, Video Generation. Open Source, Local & Free.

Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction (ICCV 2025)

Open data and scalable training for long-horizon video world models.

A unified framework for easy fine-tuning in Flow-Matching models

[ICCV 2025 & TPAMI] VistaDream: Sampling multiview consistent images for single-view scene reconstruction

Local inference for diffusion language models (LLaDA, Dream), written in Mojo

Interactive World Model papers organized by core research challenges.

CLI/GUI tool for efficient and easy safetensors and gguf model conversion

Train LoRAs for Qwen-Image 2.1, FLUX.2 Klein 9B, FLUX.3 Image Klein, Krea 2, Z-Image, MOSS-Image, ERNIE-Image, Ideogram 4, Anima, SDXL (Pony, Illustrious, NoobAI), LTX 2.3, MiniMax-H3, and more on NVIDIA GPUs from 4–8 GB VRAM. One install, one launcher, NF4 models. Windows, Linux and RunPod.