#StableDiffusion

Explore a comprehensive collection of resources for AI art and image synthesis. This includes tools, models, and prompt engineering aids, ideal for designers exploring creative possibilities. The collection covers popular platforms like Dalle2, MidJourney, StableDiffusion, and open-source alternatives, focusing on simplifying the creation of AI-based art with intuitive features and minimal coding. Stay informed about the latest developments in text-to-image models, prompting methods, and post-processing techniques to improve image quality. Connect with active communities on Discord and Reddit for inspiration and support in your artistic endeavors, while accessing valuable tutorials, videos, and social media insights.

Discover the forefront of digital human technology with real-time interaction, leveraging GPT. This project includes sophisticated face detection and emotion recognition, and allows for personalized digital human creation through posture estimation and video generation. Voice recognition is used for input processing, while large language models perform cognitive tasks. The speech synthesis feature supports lifelike conversations and singing in multiple languages. This initiative explores 3D reconstruction, integration into Unreal Engine and Unity, and advanced 3D digital human modeling using NeRF and HUGS. Gain insights into digital humans with advanced tools and strategies, including motion capture and face swaps, supported by comprehensive deployment techniques.

Integrating with the AUTOMATIC1111 Stable Diffusion WebUI, this extension employs DeOldify to breathe new life into historical photos and videos through advanced colorization. Compatible with both Linux and Windows, it simplifies the process of image and video enhancement. Additionally, it supports installation via the Extensions list and facilitates use on Discord through the DeOldifyBot, making it accessible for video colorization and restoration applications.

An extension for StableDiffusion's AUTOMATIC1111 web-ui offering face replacement in images, enhancing AI media projects. Based on the roop project, it aids in character animation and modeling. Built-in checks ensure legal and ethical use, necessitating consent for real face swaps. Installation needs Python and C++, and usage allows multiple quality improvements, contributing positively to the industry.

The sd-webui-text2video extension implements state-of-the-art text-to-video models like ModelScope and VideoCrafter within AUTOMATIC1111's StableDiffusion WebUI without requiring logins. It supports LoRA training and offers features like in-painting and video looping, enabling efficient animation creation with minimal VRAM usage. Key updates feature Torch2 optimizations for extended video output on constrained VRAM and the introduction of WebAPI. Discover usage examples and fine-tuning options with leading models, enhancing creativity for video synthesis aficionados.

VideoElevator utilizes text-to-image diffusion models to enhance video generation quality without training. This plug-and-play method integrates diverse text-to-video and text-to-image models, focusing on temporal consistency and detailed precision. It offers a straightforward approach to downloading weights and running scripts for improved video generation, all with less than 11 GB VRAM. Discover how temporal motion refinement and spatial enhancement elevate video quality.