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Change to steps of 8

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Billy Cao 2022-11-30 20:52:32 +08:00
parent 349f0461ec
commit 3a724e91a2
1 changed files with 12 additions and 12 deletions
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modules/ui.py
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@ -380,8 +380,8 @@ def create_seed_inputs():
with gr.Row(visible=False) as seed_extra_row_2: with gr.Row(visible=False) as seed_extra_row_2:
seed_extras.append(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_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=1, label="Resize seed from height", 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_seed.click(fn=lambda: -1, show_progress=False, inputs=[], outputs=[seed])
random_subseed.click(fn=lambda: -1, show_progress=False, inputs=[], outputs=[subseed]) 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") 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(): with gr.Group():
width = gr.Slider(minimum=64, maximum=2048, step=1, label="Width", value=512) width = gr.Slider(minimum=64, maximum=2048, step=8, label="Width", value=512)
height = gr.Slider(minimum=64, maximum=2048, step=1, label="Height", value=512) height = gr.Slider(minimum=64, maximum=2048, step=8, label="Height", value=512)
with gr.Row(): with gr.Row():
restore_faces = gr.Checkbox(label='Restore faces', value=False, visible=len(shared.face_restorers) > 1) 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) enable_hr = gr.Checkbox(label='Highres. fix', value=False)
with gr.Row(visible=False) as hr_options: with gr.Row(visible=False) as hr_options:
firstphase_width = gr.Slider(minimum=0, maximum=1024, step=1, label="Firstpass width", 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=1, label="Firstpass height", 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) 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): 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") 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(): with gr.Group():
width = gr.Slider(minimum=64, maximum=2048, step=1, label="Width", value=512, elem_id="img2img_width") 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=1, label="Height", value=512, elem_id="img2img_height") height = gr.Slider(minimum=64, maximum=2048, step=8, label="Height", value=512, elem_id="img2img_height")
with gr.Row(): with gr.Row():
restore_faces = gr.Checkbox(label='Restore faces', value=False, visible=len(shared.face_restorers) > 1) 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"): with gr.Tab(label="Preprocess images"):
process_src = gr.Textbox(label='Source directory') process_src = gr.Textbox(label='Source directory')
process_dst = gr.Textbox(label='Destination directory') process_dst = gr.Textbox(label='Destination directory')
process_width = gr.Slider(minimum=64, maximum=2048, step=1, label="Width", 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=1, label="Height", 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"]) preprocess_txt_action = gr.Dropdown(label='Existing Caption txt Action', value="ignore", choices=["ignore", "copy", "prepend", "append"])
with gr.Row(): 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") 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") 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")) 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_width = gr.Slider(minimum=64, maximum=2048, step=8, label="Width", value=512)
training_height = gr.Slider(minimum=64, maximum=2048, step=1, label="Height", 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) 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) 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) save_embedding_every = gr.Number(label='Save a copy of embedding to log directory every N steps, 0 to disable', value=500, precision=0)