Wan2.2

AnimateDiff adds text-driven animation to personalized Stable Diffusion models without requiring separate training for each model. It's for artists and developers who want to generate motion while keeping the visual style of a chosen image model. The Python implementation runs locally and includes a Gradio browser interface.

CogVideoX is a family of downloadable video generation models for developers, researchers and creators who want to generate clips on their own hardware. It turns English text prompts into video, animates a supplied image and can continue an existing video. A local Gradio web interface provides a browser front end for generation.

Diffusers is an open-source Python library for developers and researchers who want to run diffusion models on their own hardware or build generation features into an application. It uses PyTorch and supports image, video and audio generation. The library is licensed under Apache 2.0 and supports Apple Silicon.

EchoMimic turns a portrait image and an audio recording into an animated talking-head video on your own hardware. Its distinguishing feature is editable facial landmark control: you can drive animation with audio, landmarks, or audio combined with selected landmarks. It's intended for academic research and suits people comparing methods for speech animation and facial motion control.

FramePack is an open source desktop app for making videos from a still image and a written motion prompt. It runs on Windows and Linux, with generation handled by your own NVIDIA GPU. It suits people who want to make AI video locally and see the clip develop as it renders.