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author | Aarni Koskela <akx@iki.fi> | 2023-05-11 15:28:15 +0000 |
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committer | Aarni Koskela <akx@iki.fi> | 2023-05-11 17:29:11 +0000 |
commit | 49a55b410b66b7dd9be9335d8a2e3a71e4f8b15c (patch) | |
tree | d79f004eae46bc1c49832f3c668a524107c30034 /modules/ui.py | |
parent | 431bc5a297ff7c17231b92b6c8f8152b2fab8553 (diff) | |
download | stable-diffusion-webui-gfx803-49a55b410b66b7dd9be9335d8a2e3a71e4f8b15c.tar.gz stable-diffusion-webui-gfx803-49a55b410b66b7dd9be9335d8a2e3a71e4f8b15c.tar.bz2 stable-diffusion-webui-gfx803-49a55b410b66b7dd9be9335d8a2e3a71e4f8b15c.zip |
Autofix Ruff W (not W605) (mostly whitespace)
Diffstat (limited to 'modules/ui.py')
-rw-r--r-- | modules/ui.py | 18 |
1 files changed, 9 insertions, 9 deletions
diff --git a/modules/ui.py b/modules/ui.py index 1efb656a..ff82fff6 100644 --- a/modules/ui.py +++ b/modules/ui.py @@ -1171,7 +1171,7 @@ def create_ui(): process_focal_crop_entropy_weight = gr.Slider(label='Focal point entropy weight', value=0.15, minimum=0.0, maximum=1.0, step=0.05, elem_id="train_process_focal_crop_entropy_weight")
process_focal_crop_edges_weight = gr.Slider(label='Focal point edges weight', value=0.5, minimum=0.0, maximum=1.0, step=0.05, elem_id="train_process_focal_crop_edges_weight")
process_focal_crop_debug = gr.Checkbox(label='Create debug image', elem_id="train_process_focal_crop_debug")
-
+
with gr.Column(visible=False) as process_multicrop_col:
gr.Markdown('Each image is center-cropped with an automatically chosen width and height.')
with gr.Row():
@@ -1183,7 +1183,7 @@ def create_ui(): with gr.Row():
process_multicrop_objective = gr.Radio(["Maximize area", "Minimize error"], value="Maximize area", label="Resizing objective", elem_id="train_process_multicrop_objective")
process_multicrop_threshold = gr.Slider(minimum=0, maximum=1, step=0.01, label="Error threshold", value=0.1, elem_id="train_process_multicrop_threshold")
-
+
with gr.Row():
with gr.Column(scale=3):
gr.HTML(value="")
@@ -1226,7 +1226,7 @@ def create_ui(): with FormRow():
embedding_learn_rate = gr.Textbox(label='Embedding Learning rate', placeholder="Embedding Learning rate", value="0.005", elem_id="train_embedding_learn_rate")
hypernetwork_learn_rate = gr.Textbox(label='Hypernetwork Learning rate', placeholder="Hypernetwork Learning rate", value="0.00001", elem_id="train_hypernetwork_learn_rate")
-
+
with FormRow():
clip_grad_mode = gr.Dropdown(value="disabled", label="Gradient Clipping", choices=["disabled", "value", "norm"])
clip_grad_value = gr.Textbox(placeholder="Gradient clip value", value="0.1", show_label=False)
@@ -1565,7 +1565,7 @@ def create_ui(): gr.HTML(shared.html("licenses.html"), elem_id="licenses")
gr.Button(value="Show all pages", elem_id="settings_show_all_pages")
-
+
def unload_sd_weights():
modules.sd_models.unload_model_weights()
@@ -1841,15 +1841,15 @@ def versions_html(): return f"""
version: <a href="https://github.com/AUTOMATIC1111/stable-diffusion-webui/commit/{commit}">{tag}</a>
- •
+ •
python: <span title="{sys.version}">{python_version}</span>
- •
+ •
torch: {getattr(torch, '__long_version__',torch.__version__)}
- •
+ •
xformers: {xformers_version}
- •
+ •
gradio: {gr.__version__}
- •
+ •
checkpoint: <a id="sd_checkpoint_hash">N/A</a>
"""
|