From 6b3f7039b6b71132349d294e884be82ca7c88d87 Mon Sep 17 00:00:00 2001
From: hako-mikan <122196982+hako-mikan@users.noreply.github.com>
Date: Fri, 9 Feb 2024 23:57:46 +0900
Subject: add option

---
 modules/shared_options.py | 1 +
 1 file changed, 1 insertion(+)

(limited to 'modules/shared_options.py')

diff --git a/modules/shared_options.py b/modules/shared_options.py
index d2e86ff1..0b2d7ea3 100644
--- a/modules/shared_options.py
+++ b/modules/shared_options.py
@@ -150,6 +150,7 @@ options_templates.update(options_section(('sd', "Stable Diffusion", "sd"), {
     "sd_unet": OptionInfo("Automatic", "SD Unet", gr.Dropdown, lambda: {"choices": shared_items.sd_unet_items()}, refresh=shared_items.refresh_unet_list).info("choose Unet model: Automatic = use one with same filename as checkpoint; None = use Unet from checkpoint"),
     "enable_quantization": OptionInfo(False, "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds").needs_reload_ui(),
     "enable_emphasis": OptionInfo(True, "Enable emphasis").info("use (text) to make model pay more attention to text and [text] to make it pay less attention"),
+    "disable_normalize_embeddings": OptionInfo(False, "Disable normalize embeddings").info("Do not normalize embeddings after calculating emphasis. It can be expected to be effective in preventing artifacts in SDXL."),
     "enable_batch_seeds": OptionInfo(True, "Make K-diffusion samplers produce same images in a batch as when making a single image"),
     "comma_padding_backtrack": OptionInfo(20, "Prompt word wrap length limit", gr.Slider, {"minimum": 0, "maximum": 74, "step": 1}).info("in tokens - for texts shorter than specified, if they don't fit into 75 token limit, move them to the next 75 token chunk"),
     "CLIP_stop_at_last_layers": OptionInfo(1, "Clip skip", gr.Slider, {"minimum": 1, "maximum": 12, "step": 1}, infotext="Clip skip").link("wiki", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#clip-skip").info("ignore last layers of CLIP network; 1 ignores none, 2 ignores one layer"),
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