#Latent Consistency Models

Latent Consistency Models efficiently create high-resolution images with fewer computational steps. The project includes the LCM-LoRA for enhanced diffusion and faster image generation, compatible with platforms like Hugging Face and OpenXLab. Latest updates include the Pixart-α X LCM model and C# plus ONNX Runtime support, offering real-time demos usable on multiple operating systems. The community is encouraged to contribute and engage via dedicated channels.

FastSD CPU enhances image generation speed and efficiency through a stable diffusion process optimized for CPUs, utilizing Latent Consistency Models and Adversarial Diffusion Distillation. It supports a variety of interfaces such as Desktop GUI and WebUI to facilitate user interaction. With OpenVINO technology, it reduces the time to generate a 512x512 image to 0.82 seconds on an Intel Core i7-12700. The project is available on platforms including Windows, Linux, Mac, and Android, offering features like support for image sizes up to 1024, customizable model and guidance settings, and the Tiny Auto Encoder for faster operation. As an independent project, FastSD CPU benefits developers and researchers with its integration of advanced AI models, offering significant utility in AI-powered image generation.