必修！stable diffusionのアップスケール①　Multi Diffusionの使い方　#ai画像生成 #stablediffusion #ai技術

The assistant Alice introduces the importance of increasing image resolution when using stable diffusion to generate images. She discusses the necessity of using an extension called 'Multi Diffusion Upscaler Fortmatmatic Ilevn' to enhance resolution and another extension, 'ST Web UI AR', which helps with aspect ratio visualization. The process of installing these extensions is explained, including copying the URL and loading it through the UI. The video then transitions into a live demonstration of image generation using a specific aspect ratio of 16:9, aiming to upscale the image to 8K resolution. The assistant emphasizes the use of simple negative prompts to avoid image degradation and explains the difference between batch size and batch count, illustrating how they affect the image generation process.

The script details the process of fixing the seed value for an image to ensure consistency and then explores various upscaling techniques. The assistant discusses the use of 'HighResFix' for different image types, such as anime or live-action, and the importance of adjusting the 'denoising strength' parameter. A demonstration is provided where the assistant experiments with different denoising strengths, from 0.1 to 0.7, to find the optimal balance between image quality and detail preservation. The assistant also mentions the use of an XYZ plot to determine the best denoising strength and the impact of batch size on image quality and generation time.

The assistant demonstrates the process of upscaling an image to 4K resolution using the 'HighResFix' extension with a denoising strength of 0.5. Despite the high VRAM consumption, the assistant successfully generates a 4K image with the assistant's RTX 4090 GPU. The script then introduces the 'Multi Diffusion Upscaler 4 Automatic Ilevn' extension, which allows for 4K upscaling even on systems with lower VRAM. The assistant discusses the use of 'Child Diffusion' and 'Child VAE' to manage VRAM usage effectively and mentions the automatic adjustment of the 'encoder output size' based on GPU capabilities.

The script describes an attempt to upscale an image to 8K resolution. The assistant explains the settings for 'Child Diffusion', including tile size, overlap, and batch size, which are crucial for managing VRAM usage and maintaining image coherence across tiles. The assistant sets the denoising strength to 0.5 for the initial 8K attempt but encounters an out-of-memory error. After adjusting the denoising strength to 0.1, the assistant successfully generates an 8K image with improved detail and quality. The assistant concludes that very low denoising strength is recommended for upscaling to higher resolutions without image degradation.

In the final part of the script, the assistant summarizes the video by comparing images upscaled at different resolutions, from 2K to 8K. The assistant highlights the clarity and detail of the upscaled images and emphasizes the potential of the 'Child Diffusion' extension for various image manipulation tasks. The assistant expresses a desire to explore more features in future videos and invites viewers to subscribe and like the video for more content. The script concludes with a farewell note, indicating the end of the video.