From 3a724e91a23a715987e3034f31d8c8f5d416bd3a Mon Sep 17 00:00:00 2001 From: Billy Cao Date: Wed, 30 Nov 2022 20:52:32 +0800 Subject: [PATCH] Change to steps of 8 --- modules/ui.py | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/modules/ui.py b/modules/ui.py index 36dd754e7..acf99bda8 100644 --- a/modules/ui.py +++ b/modules/ui.py @@ -380,8 +380,8 @@ def create_seed_inputs(): with gr.Row(visible=False) as seed_extra_row_2: seed_extras.append(seed_extra_row_2) - seed_resize_from_w = gr.Slider(minimum=0, maximum=2048, step=1, label="Resize seed from width", value=0) - seed_resize_from_h = gr.Slider(minimum=0, maximum=2048, step=1, label="Resize seed from height", value=0) + seed_resize_from_w = gr.Slider(minimum=0, maximum=2048, step=8, label="Resize seed from width", value=0) + seed_resize_from_h = gr.Slider(minimum=0, maximum=2048, step=8, label="Resize seed from height", value=0) random_seed.click(fn=lambda: -1, show_progress=False, inputs=[], outputs=[seed]) random_subseed.click(fn=lambda: -1, show_progress=False, inputs=[], outputs=[subseed]) @@ -713,8 +713,8 @@ def create_ui(wrap_gradio_gpu_call): sampler_index = gr.Radio(label='Sampling method', elem_id="txt2img_sampling", choices=[x.name for x in samplers], value=samplers[0].name, type="index") with gr.Group(): - width = gr.Slider(minimum=64, maximum=2048, step=1, label="Width", value=512) - height = gr.Slider(minimum=64, maximum=2048, step=1, label="Height", value=512) + width = gr.Slider(minimum=64, maximum=2048, step=8, label="Width", value=512) + height = gr.Slider(minimum=64, maximum=2048, step=8, label="Height", value=512) with gr.Row(): restore_faces = gr.Checkbox(label='Restore faces', value=False, visible=len(shared.face_restorers) > 1) @@ -722,8 +722,8 @@ def create_ui(wrap_gradio_gpu_call): enable_hr = gr.Checkbox(label='Highres. fix', value=False) with gr.Row(visible=False) as hr_options: - firstphase_width = gr.Slider(minimum=0, maximum=1024, step=1, label="Firstpass width", value=0) - firstphase_height = gr.Slider(minimum=0, maximum=1024, step=1, label="Firstpass height", value=0) + firstphase_width = gr.Slider(minimum=0, maximum=1024, step=8, label="Firstpass width", value=0) + firstphase_height = gr.Slider(minimum=0, maximum=1024, step=8, label="Firstpass height", value=0) denoising_strength = gr.Slider(minimum=0.0, maximum=1.0, step=0.01, label='Denoising strength', value=0.7) with gr.Row(equal_height=True): @@ -899,8 +899,8 @@ def create_ui(wrap_gradio_gpu_call): sampler_index = gr.Radio(label='Sampling method', choices=[x.name for x in samplers_for_img2img], value=samplers_for_img2img[0].name, type="index") with gr.Group(): - width = gr.Slider(minimum=64, maximum=2048, step=1, label="Width", value=512, elem_id="img2img_width") - height = gr.Slider(minimum=64, maximum=2048, step=1, label="Height", value=512, elem_id="img2img_height") + width = gr.Slider(minimum=64, maximum=2048, step=8, label="Width", value=512, elem_id="img2img_width") + height = gr.Slider(minimum=64, maximum=2048, step=8, label="Height", value=512, elem_id="img2img_height") with gr.Row(): restore_faces = gr.Checkbox(label='Restore faces', value=False, visible=len(shared.face_restorers) > 1) @@ -1228,8 +1228,8 @@ def create_ui(wrap_gradio_gpu_call): with gr.Tab(label="Preprocess images"): process_src = gr.Textbox(label='Source directory') process_dst = gr.Textbox(label='Destination directory') - process_width = gr.Slider(minimum=64, maximum=2048, step=1, label="Width", value=512) - process_height = gr.Slider(minimum=64, maximum=2048, step=1, label="Height", value=512) + process_width = gr.Slider(minimum=64, maximum=2048, step=8, label="Width", value=512) + process_height = gr.Slider(minimum=64, maximum=2048, step=8, label="Height", value=512) preprocess_txt_action = gr.Dropdown(label='Existing Caption txt Action', value="ignore", choices=["ignore", "copy", "prepend", "append"]) with gr.Row(): @@ -1286,8 +1286,8 @@ def create_ui(wrap_gradio_gpu_call): dataset_directory = gr.Textbox(label='Dataset directory', placeholder="Path to directory with input images") log_directory = gr.Textbox(label='Log directory', placeholder="Path to directory where to write outputs", value="textual_inversion") template_file = gr.Textbox(label='Prompt template file', value=os.path.join(script_path, "textual_inversion_templates", "style_filewords.txt")) - training_width = gr.Slider(minimum=64, maximum=2048, step=1, label="Width", value=512) - training_height = gr.Slider(minimum=64, maximum=2048, step=1, label="Height", value=512) + training_width = gr.Slider(minimum=64, maximum=2048, step=8, label="Width", value=512) + training_height = gr.Slider(minimum=64, maximum=2048, step=8, label="Height", value=512) steps = gr.Number(label='Max steps', value=100000, precision=0) create_image_every = gr.Number(label='Save an image to log directory every N steps, 0 to disable', value=500, precision=0) save_embedding_every = gr.Number(label='Save a copy of embedding to log directory every N steps, 0 to disable', value=500, precision=0)