最新！簡単！Stable diffusionのパソコンへのインストール#ai画像生成 #stablediffusion #ai技術

Alice from Eyes in Wonderland introduces a tutorial video on installing the WebUI for stable diffusion. She mentions that while she has previously uploaded an installation video, the software has been updated, and she aims to verify the current installation process. The video is designed for beginners, starting from uninstalling Python and Git, and ensuring the audience has a clear understanding of each step. Alice provides a method to check the computer's environment and GPU specifications, emphasizing the need for at least 4GB of VRAM for the NVIDIA GPU. She also directs viewers to the GitHub page for the Automatic 1111 WebUI, suggesting the traditional installation method over the automated one for better control and understanding.

The video proceeds with the installation of Python 3.10.6, providing detailed instructions on downloading the installer from the official Python website and ensuring the 'Add Python 3.10 to Path' option is selected during installation. Alice guides viewers on verifying the Python installation by checking the environment variables and advises on managing multiple Python versions. She then moves on to install Git, providing a step-by-step guide on downloading and installing the latest version from the Git website. The tutorial includes creating a specific folder for the project and using the command prompt to clone the Automatic 1111 repository, setting the stage for the next steps in the installation process.

Alice demonstrates how to launch the WebUI by opening the badge file and adjusting file extensions settings to show the badge extension. She explains the process of running the WebUI, which involves gathering necessary components like PyTorch. The video captures the installation's progress, including potential waiting times and the automatic handling of dependencies. She notes the changes in the installation process, such as the integration of xformers and the inclusion of a default model, which streamlines the setup. Alice also shows how to generate an image using the WebUI, validating that the installation was successful.

The tutorial continues with enhancing the WebUI's performance by installing xformers, which speeds up image generation. Alice shows how to modify the batch file to include xformers and other performance-enhancing arguments like opt-sdp-attention and autolaunch. She also addresses the option to use medvram for users with less than 12GB of GPU memory. The video includes a demonstration of launching the WebUI with these enhancements and generating an image to test the setup's effectiveness. Alice corrects a minor mistake regarding the theme setting and successfully launches the WebUI with a black theme, generating an image to showcase the performance improvements.

Alice concludes the video by reflecting on the smooth installation process of the latest Stable Diffusion WebUI. She encourages viewers to explore Stable Diffusion, especially with an NVIDIA GPU, as it is a fun and growing field with potential applications in various jobs. She invites viewers to join the community, try out the technology, and watch more tutorial videos for further learning. The video ends with an invitation for feedback and questions in the comments section.