2.9 KiB
2.9 KiB
Stable-Diffusion-temperature-settings
Provides the ability to set the temperature for both UNET and CLIP. For ComfyUI.
The nodes
Specifities
- The CLIP patch ignores the connections and patches the model within the memory. Simply disconnecting it does not revert the behavior. To revert to default behavior set it at 1 or reload the model without the node connected. It is the only node ignoring the connections and does not modify anything but the connected CLIP model.
- For SD1 and SDXL nodes: settings the temperature at zero will use a dynamic scale proportional to the resolution. It is good for lower resolutions but not on point for higher.
Usage
Like any other model patch:
Requirements:
Requires pytorch 2.3 and above.
Interesting side-effect:
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.
Here using SDXL at a resolution of 328x328. First row temperature at 1, second row using dynamic scaled attention:
Non cherry-picked SD v1-5-pruned-emaonly at 512*1024, first row with the dynamic scale, second without:
Lost workflows for these as they were done during testing but proves the idea of making SD better at different resolutions:
The temperature was applied to all layers except input 1 and 2, output 9, 10 and 11. At 0.71. Only on self-attention.
Other simple example with SD 1.5, with/without are obvious enough (these two are workflows):
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