@ -304,12 +304,43 @@ First, we need to translate from latent space to pixel space.
<imgsrc="./pix/pixel space hrf 15.png"width="80%"align="middle">
<imgsrc="./pix/pixel space hrf 15.png"width="80%"align="middle">
* adjust the Upscale Image height and width to 704
* adjust the Upscale Image height and width to 704
* unlike latent space HR Fixes, after a pixel upscale the denoise doesn't need decreased _as much_. In this case, leaving it at .5 is okay.
* generally speaking, sampling after pixel space upscales doesn't need decreased below 0.400. Generally. There's always exceptions. That's the norm with Stable Diffusion.
Improving images with HiRez Fixes is one thing, but what about simply making it bigger? That's where upscaling comes in. As mentioned before, jumping from 512px to 1080p and higher isn't advised due to the lack of detail. Each HR Fix also gives stable diffues the chance to correct mistakes. (It doesn't always, though. Stable Diffusion is a contrary baast.)
Once an image has some detail, one of the best ways to upscale it further is with an _Upscale Model_. There's a whole bunch of them [here](https://upscale.wiki/wiki/Model_Database), but we'll keep it easy with PSNRx2. Follow [this link](https://github.com/wyrde/wyrde-comfyui-workflows/blob/main/others/upscalemodels/apache2/2x-PSNR.pth) and click the Downlaod button.