41 lines
2.2 KiB
Markdown
41 lines
2.2 KiB
Markdown
# Stable-Diffusion-temperature-settings
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Provides the ability to set the temperature for both UNET and CLIP. For ComfyUI.
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## The nodes
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## Specifities
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- 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.
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- 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.
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## Usage
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Like any other model patch:
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## Requirements:
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Requires pytorch 2.3 and above.
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## Interesting side-effect:
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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.
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### Here using SDXL at a resolution of 328x328. First row is temperature at 1, second and third using the dynamic scaled attention.
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### Non cherry-picked SD v1-5-pruned-emaonly at 512*1024, first row with the dynamic scale, second without:
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### Other simple example with SD 1.5, with/without are obvious enough (these two are workflows):
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