AIは手が苦手過ぎる～！のでControlNetとデプスライブラリで修正してみよう！使用方法解説！【Stable Diffusion】

The paragraph introduces the problem of AI-generated figures with imperfect hands and presents a solution using the 'Depth Map Library & Poser'. It explains the process of updating ControlNet, installing the DepthMap library from GitHub, and using it to fix hands in AI-generated images. The speaker, Robin, guides the user through the steps of using the DepthMap to correct a hand's position and shape in an AI-generated image, emphasizing the limitations of hand fixing in T2i and suggesting the use of HiRes.fix for better results.

This paragraph discusses the limitations of modifying hands in T2i and offers an alternative approach using image-to-image modification. It explains the process of sending an original image to I2i, saving and loading hand images from the Depth library, and adjusting the image resolution and denoising strength. The speaker also introduces the InPaint feature for local image editing and compares the results of upscaling with I2i and InPaint, noting the trade-offs between texture changes and image blurriness. The paragraph concludes with a suggestion to change perspective and use I2i from the beginning of the process for better hand modification.

The final paragraph focuses on the use of HiRes.fix, a function for advanced users that upscales images created with T2i while considering the prompts. It provides a detailed explanation of HiRes.fix settings, including the upscaler choice, the number of steps in I2i, denoising strength, and the upscaler multiplier. The speaker demonstrates how to use HiRes.fix to find a favorite image, recreate it without HiRes.fix, and then use the Depth library to fix hands. The paragraph highlights the importance of understanding the end point with HiRes.fix and the potential for improved hand modification using the control net and Depth library, despite certain limitations based on composition and model.