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 paragraph introduces Alice, an assistant at Aizu Wonderland, who discusses the importance of Stable Diffusion local environment setup and control net introduction for AI image generation technology. Alice emphasizes the rapid evolution of AI image generation and its potential significance in various fields in the future. She invites viewers to join her channel to learn about Stable Diffusion and its web UI, suitable for beginners. The video aims to explain a method for correcting hands in AI-generated images without compromising quality, even when using high-resolution fixes, in an easy-to-understand manner for beginners. The script also mentions the use of Dream Shader 6, different versions of it, and the importance of choosing the right version based on the availability of certain features like vae ft mse 84 million EMA. It also touches on the use of negative embeddings like BadDream and First Negative Embedding for better results.

This paragraph delves into the process of using high-resolution images with the High Reso Fixes feature for hand correction in AI-generated images. The assistant explains the use of Stable Diffusion WEB UI with the Depth Library extension for detailed image manipulation. The steps include installing the extension, setting the image size, selecting the original image for correction, and choosing the appropriate hand image from the Depth Library. The assistant also discusses the process of adjusting the hand image to fit the original image, including resizing, rotating, and positioning. The paragraph highlights the importance of using high-resolution images from the start and the potential issues with generating images without High Reso Fixes and then increasing the resolution afterward.

The focus of this paragraph is on the image-to-image inpainting technique using the inpainting function in Stable Diffusion WEB UI. The assistant guides the viewers through the process of inpainting the hand part of the image by selecting the area to be corrected and using the canvas zoom extension for precision. The paragraph also covers the use of control nets, specifically the Dream Shader map, to further refine the image generation process. The assistant provides detailed instructions on how to use the inpainting function, adjust the brush size, and correct specific parts of the image. The paragraph concludes with a discussion on the control net settings, including the starting and ending control steps, and their impact on the final image.

In the concluding paragraph, the assistant summarizes the hand correction process using Depth Library and image-to-image inpainting. She acknowledges the complexity of hand correction and the potential challenges that may arise even with the explained methods. The assistant reassures viewers that more advanced content on hand correction will be covered in future videos, including updates on control nets, inpainting, and prompt adjustments. She encourages viewers to master the techniques discussed and looks forward to their continued engagement with the channel for AI-related technology introductions. The assistant ends the video with a farewell, promising to meet again in the next video.