CogVideo is an open-source family of advanced video generation models that can create videos from text, images, or existing video inputs. Built on large-scale Transformer and diffusion architectures, it enables multimodal generation across text-to-video, image-to-video, and video continuation tasks. The latest CogVideoX models offer higher resolution outputs, longer video durations, and improved controllability through prompt engineering. The project includes tools for inference, fine-tuning, and optimization, making it suitable for both research and production use. It supports efficient deployment on a range of GPUs, including consumer hardware with quantization techniques. Overall, CogVideo provides a powerful framework for generating high-quality AI videos and experimenting with cutting-edge multimodal AI systems.

Features

  • Multiple tasks: text-to-video, image-to-video, and video-to-video generation.
  • Dual stacks: SAT implementations and Diffusers pipelines with shared demos.
  • Fine-tuning recipes (incl. LoRA), plus cogvideox-factory for single-GPU (4090) training.
  • Quantized inference (INT8 via TorchAO) and memory optimizations (CPU offload, tiling, slicing).
  • Ready-to-run assets: Colab notebooks, CLI demos, and a Gradio web UI with tools (SR/interp).
  • Utilities & ecosystem: weight converters (SAT→HF), captioning tools, and third-party integrations (ComfyUI, ControlNet, xDiT, VideoSys).

Project Samples

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License

Apache License V2.0

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python, Unix Shell

Related Categories

Unix Shell AI Video Generators, Unix Shell AI Models, Python AI Video Generators, Python AI Models

Registered

2025-10-04