ComyUI, Video Animation Rendering by using WAS, Seecoder, Style, and Semantic segmentation скачать в хорошем качестве

ComyUI, Video Animation Rendering by using WAS, Seecoder, Style, and Semantic segmentation

Welcome to a new frontier in video animation rendering. In this tutorial, I guide you through a custom workflow I've developed in ComfyUI that leverages the power of semantic segmentation, SEECODER, Co-adapter Style, and CLIP Vision. This innovative approach applies an analytical process to each rendered image, using it as a reference for the subsequent rendering frame, creating a consistency never seen before. This technique is perfect for those looking to push the boundaries of what's possible in video animation rendering. Throughout this video, we'll dive deep into each step of the process, and by the end, you'll have a strong grasp of this groundbreaking workflow. Whether you're a seasoned animator or a curious enthusiast, this tutorial provides unique insights that can change the way you think about and create animation. Remember to like, share, and subscribe for more tutorials and to stay updated with the latest advancements in rendering techniques. Enjoy the learning journey!" Please note that you should personalize and modify this description to fit your video's content and style better. My Patreon:   / archai3d   WAS: https://github.com/WASasquatch/was-no... Semantic segmentation reference: https://docs.google.com/spreadsheets/... see coder: https://github.com/BlenderNeko/ComfyU... clip vision: https://huggingface.co/openai/clip-vi... style model: https://huggingface.co/TencentARC/T2I... #stablediffusion #comfyui #ai #interiordesign