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Merge branch 'master' into training-help-text

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AUTOMATIC1111
2022-10-21 09:57:55 +03:00
committed by GitHub
parent 858462f719 2273e752fb
commit 0c5522ea21
21 changed files with 688 additions and 137 deletions
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15
modules/ui.py
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@@ -268,8 +268,13 @@ def calc_time_left(progress, threshold, label, force_display):
time_since_start = time.time() - shared.state.time_start
eta = (time_since_start/progress)
eta_relative = eta-time_since_start
if (eta_relative > threshold and progress > 0.02) or force_display:
return label + time.strftime('%H:%M:%S', time.gmtime(eta_relative))
if (eta_relative > threshold and progress > 0.02) or force_display:
if eta_relative > 3600:
return label + time.strftime('%H:%M:%S', time.gmtime(eta_relative))
elif eta_relative > 60:
return label + time.strftime('%M:%S', time.gmtime(eta_relative))
else:
return label + time.strftime('%Ss', time.gmtime(eta_relative))
else:
return ""
@@ -285,7 +290,7 @@ def check_progress_call(id_part):
if shared.state.sampling_steps > 0:
progress += 1 / shared.state.job_count * shared.state.sampling_step / shared.state.sampling_steps
time_left = calc_time_left( progress, 60, " ETA:", shared.state.time_left_force_display )
time_left = calc_time_left( progress, 1, " ETA: ", shared.state.time_left_force_display )
if time_left != "":
shared.state.time_left_force_display = True
@@ -293,7 +298,7 @@ def check_progress_call(id_part):
progressbar = ""
if opts.show_progressbar:
progressbar = f"""<div class='progressDiv'><div class='progress' style="overflow:hidden;width:{progress * 100}%">{str(int(progress*100))+"%"+time_left if progress > 0.01 else ""}</div></div>"""
progressbar = f"""<div class='progressDiv'><div class='progress' style="overflow:visible;width:{progress * 100}%;white-space:nowrap;">{"&nbsp;" * 2 + str(int(progress*100))+"%" + time_left if progress > 0.01 else ""}</div></div>"""
image = gr_show(False)
preview_visibility = gr_show(False)
@@ -1221,6 +1226,7 @@ def create_ui(wrap_gradio_gpu_call):
new_hypernetwork_layer_structure = gr.Textbox("1, 2, 1", label="Enter hypernetwork layer structure", placeholder="1st and last digit must be 1. ex:'1, 2, 1'")
new_hypernetwork_add_layer_norm = gr.Checkbox(label="Add layer normalization")
overwrite_old_hypernetwork = gr.Checkbox(value=False, label="Overwrite Old Hypernetwork")
new_hypernetwork_activation_func = gr.Dropdown(value="relu", label="Select activation function of hypernetwork", choices=["linear", "relu", "leakyrelu"])
with gr.Row():
with gr.Column(scale=3):
@@ -1311,6 +1317,7 @@ def create_ui(wrap_gradio_gpu_call):
overwrite_old_hypernetwork,
new_hypernetwork_layer_structure,
new_hypernetwork_add_layer_norm,
new_hypernetwork_activation_func,
],
outputs=[
train_hypernetwork_name,