【やっと最新版！】Stable Diffusion XLをおうちで動かす

The paragraph discusses the concerns and considerations when thinking about updating to the latest version of Stable Diffusion (sdxl). It touches on the potential risks such as losing functionality or the inability to revert to an older version. The speaker decides to try using the latest version of sdxcel without discarding the old one. There's a brief mention of the pronunciation of 'Stable Diffusion XL' and the decision to experiment with the update. The paragraph also covers the different versions of the Stable Diffusion model and the UI, emphasizing the lack of compatibility between SD and SD Excel, and the importance of understanding these versions. It concludes with a step-by-step guide on how to install the latest version of the UI, including downloading necessary modules and models, and the option to skip model downloads if the user already has them.

This paragraph delves into the changes in image quality and size when using the updated version of Stable Diffusion. It mentions the increase in training image size and the expected improvement in image quality. However, the speaker expresses disappointment with the actual results, noting that the images are not as sharp as anticipated. The focus then shifts to the technical aspects of using the new version, including understanding the different versions of the model and the UI, and the process of downloading and installing them. The paragraph also discusses the new two-stage image generation process in SD Excel, the need for two different models (base and refiner), and how to adjust settings for image quality and processing steps. It concludes with a comparison of the image quality between the base model and the refiner model, and the importance of adjusting the number of steps and the switch point for optimal results.

The speaker talks about the new features added to the latest Stable Diffusion model and expresses excitement about these enhancements. They discuss the differences between the new and old models, particularly focusing on the finer details and the improvements in image quality. The paragraph also explores various samplers and their impact on image generation, comparing the speed and convergence of different models. It highlights the use of the 'karasu' (crow) sampler, which is an improved version of an NVIDIA engineer's algorithm. The speaker also provides advice on how to maintain older versions of the software alongside the new one, emphasizing the importance of keeping the 1.2.1 version for certain functionalities. The paragraph concludes with a discussion about the new Open Pose Editor feature in the 1.6 version of the WEBUI and its capabilities.

This paragraph focuses on comparing the outputs of the new SD Excel model with the old SDK model. The speaker notes that the new model has a more 'knitted journey' feel and a different shadow effect. They also mention the strength of the old SDK model and its ability to create powerful images. The paragraph discusses the use of different models for various purposes, such as the 'Childragon Mix' model for creating appealing characters. It also provides tips on how to bypass the VRAM shortage issue by adjusting startup options or enabling the child diffusion feature through the multi-diffusion upscaler extension. The speaker concludes by recommending the use of a new graphics card with more VRAM for those who plan to upgrade their hardware and invites viewers to subscribe to the channel for more content on AI-generated synthetic voices.