ect
ECT offers a sophisticated approach to generative modeling by introducing few-step capabilities with minimal tuning effort. This PyTorch-based framework allows for effective consistency tuning across diverse protocols, such as CIFAR-10 and ImageNet, and is compatible with PyTorch 2.3.0. The implementation includes features like mixed precision training via AMP GradScaler, enhancing computational efficiency. Recent updates demonstrate ECT's superior performance compared to traditional GANs and diffusion models on CIFAR10, achieving high-quality image generation with optimized FID scores.
