Hey, what’s up? 👋
I’m Jakob, a digital artist, working on AI-generated content (NSFW included) and today I’ll talk about Stable Diffusion upscalers.
Quick links:
- What are upscaler?
- Other Upscalers
- How to use Upscalers?
What are Upscalers on Stable Diffusion?
Upscaler Stable Diffusion is a diffusion-based model that uses AI tools to increase the resolution or size of an image while keeping quality and detail.
It analyzes the image’s pixel values to determine a diffusion rate, which is then used to expand the pixels to a higher resolution.
Here are some Upscaler Stable Diffusion techniques:
- Stable Diffusion x4 upscaler:
Developed by Robin Rombach and Patrick Esser, this model is intended for research purposes only. Enlarging an image can take 20–40 seconds, and it provides more detailed results with a better texture.
- SD ultimate upscale
This extension divides an image into equal portions called tiles, then impaints them to build additional detail on that portion of the image at a higher resolution.
- Multi-diffusion extension
This extension can be used to add intricate details and upscale images. It requires the controlnet extension and the controlnet tile model.
Best Stable Diffusion Upscalers
- R-ESRGAN 4X+
- ScuNET
- ScuNET PSNR
- SwinIR_4x
- Nearest
- Lanczos
- ESGAN 4x+
- SUPIR
Click here to check the comparison I made between them.
How To Use Upscalers on Stable Diffusion
The first 7 upscalers are default in the Automatic1111 Stable Diffusion.
To use them:
First, open the Stable Diffusion WebUI:
- Go to the ‘Extras’ tab.
- Upload the photo you want to upscale.
- Select the upscaler in ‘Upscaler 1’, (if you want to mix with another, upload it in ‘Upscale 2’ and adjust the weight).
- At the “Scale By” tab, set the proportion you want to increase for example 2x times bigger, and click “Generate”.
You can also select “Scale to” at step 4 and define the final resolution you want.
To use SUPIR, check here.
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