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Merge branch 'AUTOMATIC1111:master' into master

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papuSpartan
2022-11-06 21:05:28 -06:00
committed by GitHub
parent 86d35526a1 804d9fb83d
commit 00ebc26c4e
50 changed files with 2541 additions and 735 deletions
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113
modules/ui.py
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@@ -175,9 +175,9 @@ def save_pil_to_file(pil_image, dir=None):
gr.processing_utils.save_pil_to_file = save_pil_to_file
def wrap_gradio_call(func, extra_outputs=None):
def wrap_gradio_call(func, extra_outputs=None, add_stats=False):
def f(*args, extra_outputs_array=extra_outputs, **kwargs):
run_memmon = opts.memmon_poll_rate > 0 and not shared.mem_mon.disabled
run_memmon = opts.memmon_poll_rate > 0 and not shared.mem_mon.disabled and add_stats
if run_memmon:
shared.mem_mon.monitor()
t = time.perf_counter()
@@ -204,11 +204,18 @@ def wrap_gradio_call(func, extra_outputs=None):
res = extra_outputs_array + [f"<div class='error'>{plaintext_to_html(type(e).__name__+': '+str(e))}</div>"]
shared.state.skipped = False
shared.state.interrupted = False
shared.state.job_count = 0
if not add_stats:
return tuple(res)
elapsed = time.perf_counter() - t
elapsed_m = int(elapsed // 60)
elapsed_s = elapsed % 60
elapsed_text = f"{elapsed_s:.2f}s"
if (elapsed_m > 0):
if elapsed_m > 0:
elapsed_text = f"{elapsed_m}m "+elapsed_text
if run_memmon:
@@ -226,10 +233,6 @@ def wrap_gradio_call(func, extra_outputs=None):
# last item is always HTML
res[-1] += f"<div class='performance'><p class='time'>Time taken: <wbr>{elapsed_text}</p>{vram_html}</div>"
shared.state.skipped = False
shared.state.interrupted = False
shared.state.job_count = 0
return tuple(res)
return f
@@ -277,16 +280,8 @@ def check_progress_call(id_part):
image = gr_show(False)
preview_visibility = gr_show(False)
if opts.show_progress_every_n_steps > 0:
if shared.parallel_processing_allowed:
if shared.state.sampling_step - shared.state.current_image_sampling_step >= opts.show_progress_every_n_steps and shared.state.current_latent is not None:
if opts.show_progress_grid:
shared.state.current_image = modules.sd_samplers.samples_to_image_grid(shared.state.current_latent)
else:
shared.state.current_image = modules.sd_samplers.sample_to_image(shared.state.current_latent)
shared.state.current_image_sampling_step = shared.state.sampling_step
if opts.show_progress_every_n_steps != 0:
shared.state.set_current_image()
image = shared.state.current_image
if image is None:
@@ -689,6 +684,8 @@ def create_ui(wrap_gradio_gpu_call):
import modules.img2img
import modules.txt2img
reload_javascript()
parameters_copypaste.reset()
with gr.Blocks(analytics_enabled=False) as txt2img_interface:
@@ -1083,9 +1080,11 @@ def create_ui(wrap_gradio_gpu_call):
extras_batch_output_dir = gr.Textbox(label="Output directory", **shared.hide_dirs, placeholder="Leave blank to save images to the default path.")
show_extras_results = gr.Checkbox(label='Show result images', value=True)
submit = gr.Button('Generate', elem_id="extras_generate", variant='primary')
with gr.Tabs(elem_id="extras_resize_mode"):
with gr.TabItem('Scale by'):
upscaling_resize = gr.Slider(minimum=1.0, maximum=4.0, step=0.05, label="Resize", value=2)
upscaling_resize = gr.Slider(minimum=1.0, maximum=8.0, step=0.05, label="Resize", value=4)
with gr.TabItem('Scale to'):
with gr.Group():
with gr.Row():
@@ -1110,8 +1109,6 @@ def create_ui(wrap_gradio_gpu_call):
with gr.Group():
upscale_before_face_fix = gr.Checkbox(label='Upscale Before Restoring Faces', value=False)
submit = gr.Button('Generate', elem_id="extras_generate", variant='primary')
result_images, html_info_x, html_info = create_output_panel("extras", opts.outdir_extras_samples)
submit.click(
@@ -1169,7 +1166,7 @@ def create_ui(wrap_gradio_gpu_call):
outputs=[html, generation_info, html2],
)
with gr.Blocks() as modelmerger_interface:
with gr.Blocks(analytics_enabled=False) as modelmerger_interface:
with gr.Row().style(equal_height=False):
with gr.Column(variant='panel'):
gr.HTML(value="<p>A merger of the two checkpoints will be generated in your <b>checkpoint</b> directory.</p>")
@@ -1189,7 +1186,7 @@ def create_ui(wrap_gradio_gpu_call):
sd_hijack.model_hijack.embedding_db.load_textual_inversion_embeddings()
with gr.Blocks() as train_interface:
with gr.Blocks(analytics_enabled=False) as train_interface:
with gr.Row().style(equal_height=False):
gr.HTML(value="<p style='margin-bottom: 0.7em'>See <b><a href=\"https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Textual-Inversion\">wiki</a></b> for detailed explanation.</p>")
@@ -1213,8 +1210,8 @@ def create_ui(wrap_gradio_gpu_call):
new_hypernetwork_name = gr.Textbox(label="Name")
new_hypernetwork_sizes = gr.CheckboxGroup(label="Modules", value=["768", "320", "640", "1280"], choices=["768", "320", "640", "1280"])
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_activation_func = gr.Dropdown(value="linear", label="Select activation function of hypernetwork", choices=modules.hypernetworks.ui.keys)
new_hypernetwork_initialization_option = gr.Dropdown(value = "Normal", label="Select Layer weights initialization. relu-like - Kaiming, sigmoid-like - Xavier is recommended", choices=["Normal", "KaimingUniform", "KaimingNormal", "XavierUniform", "XavierNormal"])
new_hypernetwork_activation_func = gr.Dropdown(value="linear", label="Select activation function of hypernetwork. Recommended : Swish / Linear(none)", choices=modules.hypernetworks.ui.keys)
new_hypernetwork_initialization_option = gr.Dropdown(value = "Normal", label="Select Layer weights initialization. Recommended: Kaiming for relu-like, Xavier for sigmoid-like, Normal otherwise", choices=["Normal", "KaimingUniform", "KaimingNormal", "XavierUniform", "XavierNormal"])
new_hypernetwork_add_layer_norm = gr.Checkbox(label="Add layer normalization")
new_hypernetwork_use_dropout = gr.Checkbox(label="Use dropout")
overwrite_old_hypernetwork = gr.Checkbox(value=False, label="Overwrite Old Hypernetwork")
@@ -1448,15 +1445,14 @@ def create_ui(wrap_gradio_gpu_call):
if info.refresh is not None:
if is_quicksettings:
res = comp(label=info.label, value=fun, elem_id=elem_id, **(args or {}))
res = comp(label=info.label, value=fun(), elem_id=elem_id, **(args or {}))
create_refresh_button(res, info.refresh, info.component_args, "refresh_" + key)
else:
with gr.Row(variant="compact"):
res = comp(label=info.label, value=fun, elem_id=elem_id, **(args or {}))
res = comp(label=info.label, value=fun(), elem_id=elem_id, **(args or {}))
create_refresh_button(res, info.refresh, info.component_args, "refresh_" + key)
else:
res = comp(label=info.label, value=fun, elem_id=elem_id, **(args or {}))
res = comp(label=info.label, value=fun(), elem_id=elem_id, **(args or {}))
return res
@@ -1467,50 +1463,41 @@ def create_ui(wrap_gradio_gpu_call):
opts.reorder()
def run_settings(*args):
changed = 0
assert not shared.cmd_opts.freeze_settings, "changing settings is disabled"
changed = []
for key, value, comp in zip(opts.data_labels.keys(), args, components):
if comp != dummy_component and not opts.same_type(value, opts.data_labels[key].default):
return f"Bad value for setting {key}: {value}; expecting {type(opts.data_labels[key].default).__name__}", opts.dumpjson()
assert comp == dummy_component or opts.same_type(value, opts.data_labels[key].default), f"Bad value for setting {key}: {value}; expecting {type(opts.data_labels[key].default).__name__}"
for key, value, comp in zip(opts.data_labels.keys(), args, components):
if comp == dummy_component:
continue
comp_args = opts.data_labels[key].component_args
if comp_args and isinstance(comp_args, dict) and comp_args.get('visible') is False:
continue
if cmd_opts.hide_ui_dir_config and key in restricted_opts:
continue
oldval = opts.data.get(key, None)
opts.data[key] = value
try:
setattr(opts, key, value)
except RuntimeError:
continue
if oldval != value:
if opts.data_labels[key].onchange is not None:
opts.data_labels[key].onchange()
changed += 1
opts.save(shared.config_filename)
return f'{changed} settings changed.', opts.dumpjson()
changed.append(key)
try:
opts.save(shared.config_filename)
except RuntimeError:
return opts.dumpjson(), f'{len(changed)} settings changed without save: {", ".join(changed)}.'
return opts.dumpjson(), f'{len(changed)} settings changed: {", ".join(changed)}.'
def run_settings_single(value, key):
assert not shared.cmd_opts.freeze_settings, "changing settings is disabled"
if not opts.same_type(value, opts.data_labels[key].default):
return gr.update(visible=True), opts.dumpjson()
oldval = opts.data.get(key, None)
if cmd_opts.hide_ui_dir_config and key in restricted_opts:
try:
setattr(opts, key, value)
except Exception:
return gr.update(value=oldval), opts.dumpjson()
opts.data[key] = value
if oldval != value:
if opts.data_labels[key].onchange is not None:
opts.data_labels[key].onchange()
@@ -1595,8 +1582,7 @@ def create_ui(wrap_gradio_gpu_call):
reload_script_bodies.click(
fn=reload_scripts,
inputs=[],
outputs=[],
_js='function(){}'
outputs=[]
)
def request_restart():
@@ -1604,11 +1590,10 @@ def create_ui(wrap_gradio_gpu_call):
shared.state.need_restart = True
restart_gradio.click(
fn=request_restart,
_js='restart_reload',
inputs=[],
outputs=[],
_js='function(){restart_reload()}'
)
if column is not None:
@@ -1664,9 +1649,9 @@ def create_ui(wrap_gradio_gpu_call):
text_settings = gr.Textbox(elem_id="settings_json", value=lambda: opts.dumpjson(), visible=False)
settings_submit.click(
fn=run_settings,
fn=wrap_gradio_call(run_settings, extra_outputs=[gr.update()]),
inputs=components,
outputs=[result, text_settings],
outputs=[text_settings, result],
)
for i, k, item in quicksettings_list:
@@ -1678,6 +1663,17 @@ def create_ui(wrap_gradio_gpu_call):
outputs=[component, text_settings],
)
component_keys = [k for k in opts.data_labels.keys() if k in component_dict]
def get_settings_values():
return [getattr(opts, key) for key in component_keys]
demo.load(
fn=get_settings_values,
inputs=[],
outputs=[component_dict[k] for k in component_keys],
)
def modelmerger(*args):
try:
results = modules.extras.run_modelmerger(*args)
@@ -1807,4 +1803,3 @@ def load_javascript(raw_response):
reload_javascript = partial(load_javascript, gradio.routes.templates.TemplateResponse)
reload_javascript()