
This course is specially designed for the newly upgraded LIBLIB AI 2.0, focusing on "step-by-step, zero-threshold, fully hands-on" learning, covering the entire process from basic understanding to advanced applications. Whether you are an AI beginner or a professional with some experience, you can quickly get started and proficiently use the core functions of LIBLIB AI 2.0.
\The course content progresses step by step with clear highlights, strictly corresponding to 13 core lessons. Starting from a comprehensive understanding of the LIBLIB AI 2.0 interface, it gradually delves into the two core modules of image generation—model details and editing model practice—teaching you hands-on techniques and logic for image generation. It then focuses on the full video generation process, explaining video generation models, first and last frame creation, and video effects addition, allowing you to easily achieve high-quality image-to-video and video optimization. Next, it breaks down the ComfyUI basic workflow (parts 1 and 2), from basic operations to detailed techniques, helping you master the core process of AI creation. It also covers practical teaching of the open-source video WAN2.2, including specific applications of the image-to-video KJ version and 24-frame version, paired with practical workflow explanations to double your creation efficiency.
\Finally, through the AI application parts 1 and 2, you will integrate what you have learned earlier and apply AI tools in real scenarios, truly achieving "learn it and use it, use it and get results." The entire course is packed with practical content and no redundancy. Each lesson corresponds to specific hands-on practice with clear steps and detailed explanations, helping you quickly master the new upgrade highlights of LIBLIB AI 2.0, unlock all skills in AI image and video creation, and easily meet various AI creation needs.
\💡 Learning Tip: Tutorial content is based on industry practices at time of publication; please verify against current platform rules when learning.
\