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2024-05-30 00:54:18 +02:00
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@@ -24,6 +24,14 @@ Requires pytorch 2.3 and above.
Changing the UNET temperature allows to obtain better results a different resolutions. While it is not the full solution to the scaling issues of Stable Diffusion, it is a strong clue indicating the possibility to sample at much higher (or lower) resolutions.
# Patreon
Consider giving an incentive to contributors.
https://www.patreon.com/extraltodeus
# Examples
### Here using SDXL at a resolution of 328x328. First row temperature at 1, second row using dynamic scaled attention:
![image_grid](https://github.com/Extraltodeus/Stable-Diffusion-temperature-settings/assets/15731540/7b5b2ffb-f621-4eca-9f97-04f78c2eaf7c)
@@ -45,9 +53,3 @@ The temperature was applied to all layers except input 1 and 2, output 9, 10 and
![01629UI_00001_](https://github.com/Extraltodeus/Stable-Diffusion-temperature-settings/assets/15731540/d6371d3f-ea38-40e4-8215-432214027a78)
![01630UI_00001_](https://github.com/Extraltodeus/Stable-Diffusion-temperature-settings/assets/15731540/967ddf3b-da39-4dca-bd48-02a2f7e28ee0)
# Patreon
Consider giving an incentive to contributors.
https://www.patreon.com/extraltodeus