AI画像の弱点である手の修正に挑む！　前編　#ai画像生成 #stablediffusion #ai

The video begins with an introduction by Alice, the assistant at Aizu Wonderland, who welcomes viewers in Japanese. She discusses the importance of Stable Diffusion local environment setup and control net introduction, encouraging viewers to join the AI image generation community. Alice emphasizes the rapid evolution of AI image generation technology and its potential significance in various fields in the future. She invites viewers to learn about Stable Diffusion WEBUI and its easy-to-understand tutorials for beginners. The video also touches on the topic of hand correction in AI-generated images, which is a common issue on the internet and YouTube, and promises to explain a method that is easy for beginners to understand, even when using high-resolution fixes.

In this paragraph, the focus shifts to using high-resolution fixes and the Dream Shader 6 tool for hand correction in AI-generated images. The video explains the different versions of Dream Shader, including the baked VAE and the unbaked VAE, and suggests installing the lighter version if the viewer has the capacity. The video also mentions the use of negative embeddings like BadDream and First Negative Embedding to improve the results. The process of selecting a suitable hand image from a collection and adjusting its size and position using intuitive operations is detailed. The paragraph concludes with a recommendation to use a certain level of High Resolution Fixes when generating images initially for better results.

This section provides a tutorial on using the Image-to-Image inpainting feature and making adjustments to the control net. The video walks through the process of installing necessary extensions, such as the Stable Diffusion WEBUI Depth Library and Canvas Zoom, to facilitate the hand correction process. It explains how to use the inpainting function to selectively correct parts of the image and how to adjust the control net settings for more natural-looking results. The video also discusses the importance of starting the control net's influence at a specific stage of image generation and provides tips on fine-tuning the control steps for optimal outcomes.

Alice concludes the video by summarizing the key points covered, including the use of Depth Library and Image-to-Image inpainting for hand correction in AI-generated images. She acknowledges the complexity of hand correction and suggests that the methods presented are suitable for beginners to understand. Alice also teases upcoming videos that will delve deeper into advanced techniques for hand correction, including the use of updated control nets, prompt changes, and fine-tuning of settings. She encourages viewers to master the techniques presented and to look forward to future content that will be useful for AI-related technologies.