#training dataset

Explore HumanVid, a novel dataset for camera-controllable human image animation, perfect for training video diffusion models that mimic real movie dynamics. Supporting both camera and subject motion, this dataset enables advanced methods such as Animate-Anyone with static cameras during inference. The CamAnimate model shows outstanding performance in generating realistic video outputs even with static backgrounds. This resource provides downloadable videos and camera parameters, along with scripts for pose extraction and camera processing, allowing for straightforward experimentation by researchers.

Explore a refined language model crafted for Chinese-English use, featuring enhancements in roleplay, function calling, and math. With significantly larger datasets, it enhances performance and minimizes language mixing. Offered in multiple formats such as GGUF and BF16 for broad compatibility. Find detailed guidance for reproducing and integrating the model on Hugging Face and Ollama. Stay informed about the latest updates and enhancements in Llama3 releases.