From 2f071c65867652bc9530a1ea44e1789ce3aac4d7 Mon Sep 17 00:00:00 2001
From: Vladimir Mandic <mandic00@live.com>
Date: Mon, 11 Sep 2023 09:55:28 -0400
Subject: [PATCH] cleanup

---
 .gitignore            | 1 +
 TODO.md               | 1 -
 modules/processing.py | 1 -
 modules/ui.py         | 2 +-
 4 files changed, 2 insertions(+), 3 deletions(-)

diff --git a/.gitignore b/.gitignore
index bde1bf3bd..362e9c257 100644
--- a/.gitignore
+++ b/.gitignore
@@ -3,6 +3,7 @@ __pycache__
 .ruff_cache
 /cache.json
 /*.json
+/*.yaml
 /params.txt
 /styles.csv
 /user.css
diff --git a/TODO.md b/TODO.md
index 8c5441e7a..e3e463db8 100644
--- a/TODO.md
+++ b/TODO.md
@@ -33,7 +33,6 @@ Stuff to be added, in no particular order...
   - XYZ grid upscalers
   - Built-in `motd`-style notifications
   - Docker PR
-  - Add force hires
 - New Major
   - Style editor
   - Profile manager (for `config.json` and `ui-config.json`)
diff --git a/modules/processing.py b/modules/processing.py
index a07434ed7..bf68f0d6c 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -212,7 +212,6 @@ class StableDiffusionProcessing:
                 conditioning_mask = np.array(image_mask.convert("L"))
                 conditioning_mask = conditioning_mask.astype(np.float32) / 255.0
                 conditioning_mask = torch.from_numpy(conditioning_mask[None, None])
-
                 # Inpainting model uses a discretized mask as input, so we round to either 1.0 or 0.0
                 conditioning_mask = torch.round(conditioning_mask)
         else:
diff --git a/modules/ui.py b/modules/ui.py
index 1b12839a3..dd6fb198a 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -391,7 +391,7 @@ def create_ui(startup_timer = None):
                 with FormGroup(visible=show_second_pass.value, elem_id="txt2img_second_pass") as second_pass_group:
                     with FormRow(elem_id="sampler_selection_txt2img_alt_row1"):
                         latent_index = gr.Dropdown(label='Secondary sampler', elem_id="txt2img_sampling_alt", choices=[x.name for x in modules.sd_samplers.samplers], value='Default', type="index")
-                        denoising_strength = gr.Slider(minimum=0.05, maximum=1.0, step=0.01, label='Denoising strength', value=0.3, elem_id="txt2img_denoising_strength")
+                        denoising_strength = gr.Slider(minimum=0.05, maximum=1.0, step=0.01, label='Denoising strength', value=0.5, elem_id="txt2img_denoising_strength")
                     with FormRow(elem_id="txt2img_hires_finalres", variant="compact"):
                         hr_final_resolution = FormHTML(value="", elem_id="txtimg_hr_finalres", label="Upscaled resolution", interactive=False)
                     with FormRow(elem_id="txt2img_hires_fix_row1", variant="compact"):