A curated list of recent diffusion models for video generation, editing, restoration, understanding, nerf, etc. Use it to navigate the topic and choose relevant methods, papers or tools.

Zhen Xing, Qijun Feng, Haoran Chen, Qi Dai, Han Hu, Hang Xu, Zuxuan Wu, Yu-Gang Jiang. Use it to navigate the topic and choose relevant methods, papers or tools.

A web interface for Stable Diffusion, implemented using Gradio library. Detailed feature showcase with images: Make sure the required dependencies are met and follow the instructions available for: Alternatively, use online services (like Google Colab): 1.

English | 简体中文 A unified, high-performance framework for training LLMs, VLMs, diffusion, and embodied models. 🌐 Website  ·  📖 Docs  ·  ✍️ Blog  ·  ⚡ Quick Start  ·  📊 Performance  ·  🏛️ Supported Models  ·  💬 Contact LoongForge is a unified training framework for LLMs, VLMs, diffusion, and embodied models, covering pre-training, continued pre-training, and SFT.

As of February 10th, 2025, this repository is read-only. Please visit github.com/NVIDIA/Cosmos for the latest updates and support on Cosmos Tokenizer.

USP : Unvoice and Silence with Pitch when infer 1. Install project dependencies Note: whisper is already built-in, do not install it again otherwise it will cuase conflict and error 3.

2025.12.09 Support Z-Image Turbo Standalone training is now supported. For details, please refer to the Standalone Environment Setup Repository.

MuseV was a milestone achieved around July 2023. Amazed by the progress of Sora, we decided to opensource MuseV, hopefully it will benefit the community.

😊 EasyAnimate is an end-to-end solution for generating high-resolution and long videos. We can train transformer based diffusion generators, train VAEs for processing long videos, and preprocess metadata.

The WebUI extension for ControlNet and other injection-based SD controls. This extension is for AUTOMATIC1111's Stable Diffusion web UI, allows the Web UI to add ControlNet to the original Stable Diffusion model to generate images.

🤗 PEFT State-of-the-art Parameter-Efficient Fine-Tuning (PEFT) methods Fine-tuning large pretrained models is often prohibitively costly due to their scale. Parameter-Efficient Fine-Tuning (PEFT) methods enable efficient adaptation of large pretrained models to various downstream applications by only fine-tuning a small number of (extra) model parameters instead of all the model's parameters.

ViewCrafter can generate high-fidelity novel views from a single or sparse reference image , while also supporting highly precise pose control. Below shows some examples: Reference image Camera trajecotry Generated novel view video Reference image 1 Reference image 2 Generated novel view video |Model|Resolution|Frames|GPU Mem.

To generate the documentation, you first have to build it. You don't have to commit the built documentation.

Run Stable Diffusion on Apple Silicon with Core ML [\[Blog Post\]](https://machinelearning.apple.com/research/stable-diffusion-coreml-apple-silicon) [\[BibTeX\]](#bibtex) This repository comprises: If you run into issues during installation or runtime, please refer to the FAQ section. Please refer to the System Requirements section before getting started.