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2024-05-30 00:55:05 +02:00
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@@ -24,12 +24,6 @@ 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:
@@ -48,8 +42,9 @@ The temperature was applied to all layers except input 1 and 2, output 9, 10 and
![combined_pair_1](https://github.com/Extraltodeus/Stable-Diffusion-temperature-settings/assets/15731540/84fed1e4-a7ba-4f2a-8562-e3573f0aab8f)
![combined_pair_3](https://github.com/Extraltodeus/Stable-Diffusion-temperature-settings/assets/15731540/c6703c21-0d63-404e-9bf8-3a7c580f59e7)
### Other simple example with SD 1.5, with/without are obvious enough (these two are workflows):
![01629UI_00001_](https://github.com/Extraltodeus/Stable-Diffusion-temperature-settings/assets/15731540/d6371d3f-ea38-40e4-8215-432214027a78)
# Patreon
![01630UI_00001_](https://github.com/Extraltodeus/Stable-Diffusion-temperature-settings/assets/15731540/967ddf3b-da39-4dca-bd48-02a2f7e28ee0)
Consider giving an incentive to contributors.
https://www.patreon.com/extraltodeus