【総集編】AI動画生成ツール9種類を導入方法から生成例まで初心者向けにわかりやすく解説

The speaker, Sefie Fairy, recaps her journey with AI illustration creation and announces a transition to discuss AI video generation technology. She mentions a delay in her initial plan to create a year-end compilation video, which she now intends to make. The video will cover the evolution of AI in video generation from 2023 to keep up with the latest trends in 2024. She emphasizes the importance of using AI-generated images in various creative ways, such as in games, comics, or videos. Sefie Fairy also discusses two services, Creative Reality Studio and Zen, that can animate images with audio data, comparing their features and ease of use.

The speaker demonstrates how to use Creative Reality Studio and Zen to create AI-generated videos. She walks through the process of creating voice data using VoicePeak, selecting an image, and generating a video. The video showcases the ease of creating a video with AI, where the speaker reflects on the channel's content focusing on AI illustrations and the future of utilizing generated images. She invites viewers to subscribe and support the channel for more AI illustration topics and validation results.

The video delves into various AI video generation techniques, including converting still images into videos, using models like Childlike Mix for realistic transformations, and exploring the challenges of maintaining consistency in animated sequences. The speaker discusses the use of tools like Mumu for image-to-video conversion, highlighting the time-consuming nature of the process due to the need for frame-by-frame conversion. The video also touches on the potential of using 3D CG for video creation, such as with MMD, and the speaker's intention to continue验证ing and introducing new AI illustration technologies.

The speaker introduces Ebsynth, a utility for creating AI videos with frame interpolation, allowing for smoother animations. They discuss the process of setting up the environment for Ebsynth, including installing necessary software like FFmpeg. The video demonstrates the steps involved in using Ebsynth, from creating a project folder, setting paths, and processing through various stages to generate a video. The speaker expresses excitement about the potential of Ebsynth to reduce computational load and enable the creation of AI videos with less effort.

The video focuses on using Zepe, a 3D avatar platform, to create base videos for AI animation. The speaker guides through selecting avatars, clothing, and hairstyles, then uses Ebsynth to convert these into animated videos. They detail the process of setting up keyframes, applying AI image transformations, and using control nets for reference to stabilize output images. The video concludes with a demonstration of the final animated video, showcasing the effectiveness of combining Zepe and Ebsynth for AI video creation.

The speaker introduces Animate Diffusion, an extension that enables text-to-video AI generation using Stable Diffusion. They discuss the installation process, including the need for a motion module and the limitations such as VRAM size and token restrictions. The video showcases the simplicity of creating videos from text prompts and reflects on the potential for future developments, such as upscaling video quality and the evolution of AI video generation technology.

The video explores the combination of various technologies to create high-quality AI videos. The speaker discusses the use of Prompt Travel, a tool that allows for greater control over Animate Diffusion-generated videos, and the integration of upscaling and frame interpolation techniques. They also touch on the need for有一定的PC和编程知识 to work with these advanced AI video creation methods and the excitement for the continuous improvement in AI video technology.

In the concluding segment, the speaker reflects on the journey of creating AI-generated videos and the various technologies explored, such as Stable Video Diffusion, Runway ML, and Picolab. They compare the features and capabilities of these platforms and express optimism for the future of AI in video creation. The speaker also hints at upcoming videos that will further explore these technologies and their applications in creating diverse and engaging video content.

The speaker compares different AI video creation services, including Stable Video Diffusion, Runway ML, and Picolab. They discuss the user experience, motion control, and lighting capabilities of each service, providing insights into their strengths and weaknesses. The video also includes a demonstration of creating a video using these services, highlighting the evolving quality and potential of AI-driven video generation.

The video introduces SatTalker, a local AI video creation tool that enables lip-sync animation. The speaker guides through the installation process, including the need for specific model files and software configurations. They demonstrate the tool's capabilities by creating a mini-conte featuring a character named Freeren, showcasing the potential of SatTalker for local AI video generation with realistic lip-sync.

In the final video, the speaker looks back at the evolution of AI video generation technologies in 2023 and expresses excitement for future innovations. They highlight the progress made in AI video creation and the potential for new technologies to enable even more creative and diverse video content. The speaker concludes by inviting viewers to join them in exploring these advancements in upcoming videos.