AI Video Generation and Animation
32 repos
Tools and models for generating, transforming, and animating video content using deep learning, spanning text-to-video synthesis, image-to-video conversion, and video editing frameworks. The cluster includes both foundational generative models and practical implementation repositories, with a heavy emphasis on Python-based pipelines and AIGC (AI-Generated Content) workflows. Central projects like VideoCrafter and TIP-I2V exemplify the technical depth, though most repos focus on making video generation accessible through various input modalities and customization checkpoints.
Python · 14
video-generation ·20,598
text-to-video ·19,345
image-to-video ·17,844
diffusion ·4,466
image-animation ·3,009
safetensors ·2,928
diffusers ·2,928
video-to-video ·2,637
diffusion-models ·2,177
world-model ·2,165
