😎 This is a quick and dirty introduction to pixel and latent space upscaling with stable diffusion.
💪 In this tutorial, we use Forge WebUI, which, in our opinion, is the fastest and most memory-efficient stable diffusion UI. It is like A1111 but on steroids.

🤩 Stable Diffusion WebUI Forge is a platform on top of Stable Diffusion WebUI to make development easier, optimize resource management, and speed up inference. Find more at this link:
https://github.com/lllyasviel/stable-...

👉 Get the presentation at this link:
https://bit.ly/3P3QkEb

Tutorial's starting image (including metadata):
https://bit.ly/3P9mcaj



Chapters
00:00 Introduction - What is Forge UI? Why should I consider using Forge?
01:48 Comparing UIs - Forge vs. A1111 vs. Fooocus vs. Comfyui
06:07 What is model upscaling? Also known as AI upscaling
07:50 The marketplace for AI upscale models
09:00 Two steps upscaling | AI upscaling + Latend space upscaling, also known as HiRes fix
14:34 Tiling images - Why is it important when upscaling images?
17:04 Simple upscaling tutorial - Hyperdetailed photorealistic blue wolf
22:50 Let's generate the starting image
24:22 AI upscaling
27:58 Pure latent space upscaling - Image-to-Image with high denoise
33:55 Pure latent space upscaling - Image-to-Image with low denoise
36:25 HiRes Fix - SD upscale
44:00 HiRes Fix - Ultimate SD upscale
55:35 Final remarks


Image sliders:
https://imgsli.com/MjQ0MDM0
https://imgsli.com/MjQ0MDQx
https://imgsli.com/MjQ0MDY0
https://imgsli.com/MjQ0MjQx

Other links:
https://github.com/lllyasviel/stable-...
https://civitai.com/
https://openmodeldb.info/

Upscalers:
https://magnific.ai/
https://www.krea.ai/
https://github.com/Fanghua-Yu/SUPIR?t...

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