LightX2V is an advanced lightweight video generation inference framework engineered to deliver efficient, high-performance video synthesis solutions. This unified platform integrates multiple state-of-the-art video generation techniques, supporting diverse generation tasks including text-to-video (T2V) and image-to-video (I2V). X2V represents the transformation of different input modalities (X, such as text or images) into video output (V).
Diffusers is Hugging Face’s open-source Python library that packages state-of-the-art diffusion models and tooling for fast experimentation, training, and inference across images, audio, video, and 3-D content.
