# Stable-Diffusion-temperature-settings
Provides the ability to set the temperature for both UNET and CLIP. For ComfyUI.

## The nodes

![image](https://github.com/Extraltodeus/Stable-Diffusion-temperature-settings/assets/15731540/2d04cb28-2a1d-4384-8e62-9e9a6b0829dc)

## 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.

## Requirements

Requires pytorch 2.3 and above.

## Usage

Like any other model patch:

![image](https://github.com/Extraltodeus/Stable-Diffusion-temperature-settings/assets/15731540/32b73433-df6a-4c49-99a6-5ddf21a4777a)

- Pay attention to not use SD1 nodes on SDXL and vice-versa or you will get a key not found error.

## Resolution unlocking side-effect:

Changing the UNET temperature allows to obtain better results a different resolutions.

It needs to be higher for smaller resolutions and lower for higher resolutions.

To this effect I wrote a dynamic scaling temperature function. It sets itself relatively to the selected resolution.

It is imperfect for higher resolutions but very effective for smaller.

There seem to be a proportional trend. I would however need faster hardware to be able to generate more samples and become able to detect it. I opened the discussions for this repository if you feel like sharing your best settings.

# 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)

### Non cherry-picked SD v1-5-pruned-emaonly at 512*1024, first row with the dynamic scale, second without:

![image_grid](https://github.com/Extraltodeus/Stable-Diffusion-temperature-settings/assets/15731540/62292e57-ac11-4e9b-99e8-02084e95dc17)

### 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. Using SD v1-5-pruned-emaonly. Resolution at 1024*512. The temperature matches 1/2**2 and the surface is double the normal resolution.

![combined_pair_2](https://github.com/Extraltodeus/Stable-Diffusion-temperature-settings/assets/15731540/5e5403ea-2cb3-462c-a9f1-6cc7b1ddbaea)
![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)


# Patreon

Give an incentive to contributors:

https://www.patreon.com/extraltodeus