Fooocus

Latest version: v0.1.1

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2.1.776

* Support Ctrl+Up/Down Arrow to change prompt emphasizing weights.

2.1.750

* New UI: now you can get each image during generating.

2.1.743

* Improved GPT2 by removing some tokens that may corrupt styles.

2.1.741

Style Updates:

* "Default (Slightly Cinematic)" as renamed to "Fooocus Cinematic".
* "Default (Slightly Cinematic)" is canceled from default style selections.
* Added "Fooocus Sharp". This style combines many CivitAI prompts that reduces SDXL blurry and improves sharpness in a relatively natural way.
* Added "Fooocus Enhance". This style mainly use the very popular [default negative prompts from JuggernautXL](https://civitai.com/models/133005) and some other enhancing words. JuggernautXL's negative prompt has been proved to be very effective in many recent image posts on CivitAI to improve JuggernautXL and many other models.
* "Fooocus Sharp" and "Fooocus Enhance" and "Fooocus V2" becomes the new default set of styles.
* Removed the default text in the "negative prompt" input area since it is not necessary now.
* You can reproduce previous results by using "Fooocus Cinematic".
* "Fooocus Sharp" and "Fooocus Enhance" may undergo minor revision in future updates.

2.1.739

* Added support for authentication in --share mode (via auth.json).

2.1.737

* Allowed customizing resolutions in config.

Modifying this will make results worse if you do not understand how Positional Encoding works.

You have been warned.

If you do not know why numbers must be transformed with many Sin and Cos functions (yes, those Trigonometric functions that you learn in junior high school) before they are fed to SDXL, we do not encourage you to change this - you will become a victim of Positional Encoding. You are likely to suffer from an easy-to-fail tool, rather than getting more control.

Your knowledge gained from SD1.5 (for example, resolution numbers divided by 8 or 64 are good enough for UNet) does not work in SDXL. The SDXL uses Positional Encoding. The SD1.5 does not use Positional Encoding. They are completely different.

Your knowledge gained from other resources (for example, resolutions around 1024 are good enough for SDXL) is wrong. The SDXL uses Positional Encoding. People who say "all resolutions around 1024 are good" do not understand what is Positional Encoding. They are not intentionally misleading. They are just not aware of the fact that SDXL is using Positional Encoding.

The number 1152 must be exactly 1152, not 1152-1, not 1152+1, not 1152-8, not 1152+8. The number 1152 must be exactly 1152. Just Google what is a Positional Encoding.

Again, if you do not understand how Positional Encoding works, just do not change the resolution numbers.

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