#python #face_animation #image_animation #video_editing #video_generation
LivePortrait is a tool that uses AI to animate still photos, making them look like videos. It works by identifying key facial features and adding realistic movements. This technology helps create lifelike videos that can be used for personalized communication. The benefit to users is that they can easily create engaging animated portraits from static images, which can be fun and useful for various applications like social media or storytelling.
https://github.com/KwaiVGI/LivePortrait
LivePortrait is a tool that uses AI to animate still photos, making them look like videos. It works by identifying key facial features and adding realistic movements. This technology helps create lifelike videos that can be used for personalized communication. The benefit to users is that they can easily create engaging animated portraits from static images, which can be fun and useful for various applications like social media or storytelling.
https://github.com/KwaiVGI/LivePortrait
GitHub
GitHub - KlingTeam/LivePortrait: Bring portraits to life!
Bring portraits to life! Contribute to KlingTeam/LivePortrait development by creating an account on GitHub.
#python #audio_generation #diffusion #image_generation #inference #model_serving #multimodal #pytorch #transformer #video_generation
vLLM-Omni is a free, open-source tool that makes serving AI models for text, images, videos, and audio fast, easy, and cheap. It builds on vLLM for top speed using smart memory tricks, overlapping tasks, and flexible resource sharing across GPUs. You get 2x higher throughput, 35% less delay, and simple setup with Hugging Face models via OpenAI API—perfect for building quick multi-modal apps like chatbots or media generators without high costs.
https://github.com/vllm-project/vllm-omni
vLLM-Omni is a free, open-source tool that makes serving AI models for text, images, videos, and audio fast, easy, and cheap. It builds on vLLM for top speed using smart memory tricks, overlapping tasks, and flexible resource sharing across GPUs. You get 2x higher throughput, 35% less delay, and simple setup with Hugging Face models via OpenAI API—perfect for building quick multi-modal apps like chatbots or media generators without high costs.
https://github.com/vllm-project/vllm-omni
GitHub
GitHub - vllm-project/vllm-omni: A framework for efficient model inference with omni-modality models
A framework for efficient model inference with omni-modality models - vllm-project/vllm-omni