【Stable Diffusion 1111】AIイラストを使って1日でVtuberになる方法【Windowsローカル版】

This video by the channel host, Shiabou, explains a swift method to become a VTuber using AI within a day or even an hour. Despite the typically challenging processes of creating and animating a VTuber character, which previously took months, the use of AI significantly simplifies this by handling both drawing and animation, eliminating the need for specialized skills or extensive practice. Shiabou emphasizes the ease of the process using a specific AI program and encourages viewers to stay tuned for a detailed walkthrough on creating VTuber models and related software usage tips. The video also prompts viewers to subscribe to the channel for more specialized content on VTuber creation.

Shiabou outlines the initial steps necessary for setting up a VTuber creation using the AI program Stable Diffusion, specifically the 'Automatic 1111' version. This includes installing Python to run Stable Diffusion, downloading Git for easy updates, and setting up the main program on a desktop for better accessibility. The video provides detailed guidance on downloading and installing these tools, ensuring compatibility and avoiding errors due to long filenames. Each step is meticulously described to ensure even viewers with no prior experience can follow along and set up their systems to start creating VTuber illustrations.

This segment walks through the process of launching Stable Diffusion via a web UI after the initial setup, highlighting the recent addition of Japanese language support to simplify usage for Japanese speakers. Shiabou describes the steps to access the web server function of Stable Diffusion and explains basic settings adjustments such as model file selection and inputting text prompts to generate images. The discussion extends to how different settings like sampling counts and algorithms can affect the final image, providing viewers with the knowledge to customize their VTuber illustrations to their preferences.

In this paragraph, Shiabou delves into more specialized settings in Stable Diffusion such as face correction, texture generation mode, and high-resolution options. These settings allow for detailed customization of generated images, catering to specific needs such as creating patterns or enhancing image quality. The tutorial also covers batch generation settings, explaining how they affect the number of images produced. Additionally, the prompt matrix and xyprod features are introduced as tools for creating multiple image variations, facilitating easier comparisons and adjustments.

Shiabou demonstrates how to finalize the VTuber illustration by making the character's background transparent and adjusting the image resolution to fit specific requirements. This part of the video provides practical tips on using image editing websites to adjust images easily without specialized software. The completed VTuber character is then prepared for animation using the 'Talking Head Anime from a Single Image 3' software, which requires setting up with specific model files and configurations. The tutorial provides detailed instructions on integrating all necessary tools to animate the VTuber effectively.

The final paragraph focuses on integrating and launching the VTuber animation using the Talking Head Anime software in conjunction with smartphone apps for capturing facial movements. Shiabou provides a walkthrough for setting up and activating the necessary software environment, using Anaconda to manage software installations, and configuring the Talking Head Anime program. The tutorial ensures that viewers understand how to link their iPhones to animate the VTuber character, making the entire setup user-friendly and repeatable for future use.