CogKit is an open-source project that provides a user-friendly interface for researchers and developers to utilize ZhipuAI's CogView (image generation) and CogVideoX (video generation) models. It streamlines multimodal tasks such as text-to-image (T2I), text-to-video (T2V), and image-to-video (I2V). Users must comply with legal and ethical guidelines to ensure responsible implementation.
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- Fine-tuning Methods: Supports LoRA and full-parameter fine-tuning across various setups, including single-machine single-GPU, single-machine multi-GPU, and multi-machine multi-GPU configurations.
- Inference: Provides an OpenAI-style API (T2I Only), a GUI, and a command-line interface for seamless model deployment.
- Embed Cache: Optimizes GPU memory usage to enhance efficiency during inference.
- Add support for CogView4 ControlNet model
- Docker for easy deployment
This project is licensed under the Apache 2.0 License.