Commit 3a724e91 authored by Billy Cao's avatar Billy Cao
Browse files

Change to steps of 8

parent 349f0461

modules/ui.py

+12 −12
Original line number Original line Diff line number Diff line
@@ -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)

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