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-rw-r--r--modules/ui.py99
1 files changed, 62 insertions, 37 deletions
diff --git a/modules/ui.py b/modules/ui.py
index fc7c56bf..94297ba6 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -108,7 +108,7 @@ def send_gradio_gallery_to_image(x):
def save_files(js_data, images, do_make_zip, index):
- import csv
+ import csv
filenames = []
fullfns = []
@@ -132,6 +132,8 @@ def save_files(js_data, images, do_make_zip, index):
images = [images[index]]
start_index = index
+ os.makedirs(opts.outdir_save, exist_ok=True)
+
with open(os.path.join(opts.outdir_save, "log.csv"), "a", encoding="utf8", newline='') as file:
at_start = file.tell() == 0
writer = csv.writer(file)
@@ -182,8 +184,15 @@ def wrap_gradio_call(func, extra_outputs=None):
try:
res = list(func(*args, **kwargs))
except Exception as e:
+ # When printing out our debug argument list, do not print out more than a MB of text
+ max_debug_str_len = 131072 # (1024*1024)/8
+
print("Error completing request", file=sys.stderr)
- print("Arguments:", args, kwargs, file=sys.stderr)
+ argStr = f"Arguments: {str(args)} {str(kwargs)}"
+ print(argStr[:max_debug_str_len], file=sys.stderr)
+ if len(argStr) > max_debug_str_len:
+ print(f"(Argument list truncated at {max_debug_str_len}/{len(argStr)} characters)", file=sys.stderr)
+
print(traceback.format_exc(), file=sys.stderr)
shared.state.job = ""
@@ -318,7 +327,7 @@ def interrogate(image):
def interrogate_deepbooru(image):
- prompt = get_deepbooru_tags(image, opts.interrogate_deepbooru_score_threshold)
+ prompt = get_deepbooru_tags(image)
return gr_show(True) if prompt is None else prompt
@@ -558,11 +567,11 @@ def create_ui(wrap_gradio_gpu_call):
button_id = "hidden_element" if shared.cmd_opts.hide_ui_dir_config else 'open_folder'
open_txt2img_folder = gr.Button(folder_symbol, elem_id=button_id)
- with gr.Row():
- do_make_zip = gr.Checkbox(label="Make Zip when Save?", value=False)
-
- with gr.Row():
- download_files = gr.File(None, file_count="multiple", interactive=False, show_label=False, visible=False)
+ with gr.Row():
+ do_make_zip = gr.Checkbox(label="Make Zip when Save?", value=False)
+
+ with gr.Row():
+ download_files = gr.File(None, file_count="multiple", interactive=False, show_label=False, visible=False)
with gr.Group():
html_info = gr.HTML()
@@ -747,11 +756,11 @@ def create_ui(wrap_gradio_gpu_call):
button_id = "hidden_element" if shared.cmd_opts.hide_ui_dir_config else 'open_folder'
open_img2img_folder = gr.Button(folder_symbol, elem_id=button_id)
- with gr.Row():
- do_make_zip = gr.Checkbox(label="Make Zip when Save?", value=False)
-
- with gr.Row():
- download_files = gr.File(None, file_count="multiple", interactive=False, show_label=False, visible=False)
+ with gr.Row():
+ do_make_zip = gr.Checkbox(label="Make Zip when Save?", value=False)
+
+ with gr.Row():
+ download_files = gr.File(None, file_count="multiple", interactive=False, show_label=False, visible=False)
with gr.Group():
html_info = gr.HTML()
@@ -913,7 +922,15 @@ def create_ui(wrap_gradio_gpu_call):
with gr.TabItem('Batch Process'):
image_batch = gr.File(label="Batch Process", file_count="multiple", interactive=True, type="file")
- upscaling_resize = gr.Slider(minimum=1.0, maximum=4.0, step=0.05, label="Resize", value=2)
+ 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)
+ with gr.TabItem('Scale to'):
+ with gr.Group():
+ with gr.Row():
+ upscaling_resize_w = gr.Number(label="Width", value=512, precision=0)
+ upscaling_resize_h = gr.Number(label="Height", value=512, precision=0)
+ upscaling_crop = gr.Checkbox(label='Crop to fit', value=True)
with gr.Group():
extras_upscaler_1 = gr.Radio(label='Upscaler 1', choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name, type="index")
@@ -945,12 +962,16 @@ def create_ui(wrap_gradio_gpu_call):
_js="get_extras_tab_index",
inputs=[
dummy_component,
+ dummy_component,
extras_image,
image_batch,
gfpgan_visibility,
codeformer_visibility,
codeformer_weight,
upscaling_resize,
+ upscaling_resize_w,
+ upscaling_resize_h,
+ upscaling_crop,
extras_upscaler_1,
extras_upscaler_2,
extras_upscaler_2_visibility,
@@ -961,14 +982,14 @@ def create_ui(wrap_gradio_gpu_call):
html_info,
]
)
-
+
extras_send_to_img2img.click(
fn=lambda x: image_from_url_text(x),
_js="extract_image_from_gallery_img2img",
inputs=[result_images],
outputs=[init_img],
)
-
+
extras_send_to_inpaint.click(
fn=lambda x: image_from_url_text(x),
_js="extract_image_from_gallery_inpaint",
@@ -1015,14 +1036,14 @@ def create_ui(wrap_gradio_gpu_call):
sd_hijack.model_hijack.embedding_db.load_textual_inversion_embeddings()
- with gr.Blocks() as textual_inversion_interface:
+ with gr.Blocks() as train_interface:
with gr.Row().style(equal_height=False):
- with gr.Column():
- with gr.Group():
- 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>")
+ 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>")
- gr.HTML(value="<p style='margin-bottom: 0.7em'>Create a new embedding</p>")
+ with gr.Row().style(equal_height=False):
+ with gr.Tabs(elem_id="train_tabs"):
+ with gr.Tab(label="Create embedding"):
new_embedding_name = gr.Textbox(label="Name")
initialization_text = gr.Textbox(label="Initialization text", value="*")
nvpt = gr.Slider(label="Number of vectors per token", minimum=1, maximum=75, step=1, value=1)
@@ -1034,10 +1055,9 @@ def create_ui(wrap_gradio_gpu_call):
with gr.Column():
create_embedding = gr.Button(value="Create embedding", variant='primary')
- with gr.Group():
- gr.HTML(value="<p style='margin-bottom: 0.7em'>Create a new hypernetwork</p>")
-
+ with gr.Tab(label="Create hypernetwork"):
new_hypernetwork_name = gr.Textbox(label="Name")
+ new_hypernetwork_sizes = gr.CheckboxGroup(label="Modules", value=["768", "320", "640", "1280"], choices=["768", "320", "640", "1280"])
with gr.Row():
with gr.Column(scale=3):
@@ -1046,9 +1066,7 @@ def create_ui(wrap_gradio_gpu_call):
with gr.Column():
create_hypernetwork = gr.Button(value="Create hypernetwork", variant='primary')
- with gr.Group():
- gr.HTML(value="<p style='margin-bottom: 0.7em'>Preprocess images</p>")
-
+ 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=64, label="Width", value=512)
@@ -1058,6 +1076,10 @@ def create_ui(wrap_gradio_gpu_call):
process_flip = gr.Checkbox(label='Create flipped copies')
process_split = gr.Checkbox(label='Split oversized images into two')
process_caption = gr.Checkbox(label='Use BLIP caption as filename')
+ if cmd_opts.deepdanbooru:
+ process_caption_deepbooru = gr.Checkbox(label='Use deepbooru caption as filename')
+ else:
+ process_caption_deepbooru = gr.Checkbox(label='Use deepbooru caption as filename', visible=False)
with gr.Row():
with gr.Column(scale=3):
@@ -1066,11 +1088,11 @@ def create_ui(wrap_gradio_gpu_call):
with gr.Column():
run_preprocess = gr.Button(value="Preprocess", variant='primary')
- with gr.Group():
+ with gr.Tab(label="Train"):
gr.HTML(value="<p style='margin-bottom: 0.7em'>Train an embedding; must specify a directory with a set of 1:1 ratio images</p>")
train_embedding_name = gr.Dropdown(label='Embedding', choices=sorted(sd_hijack.model_hijack.embedding_db.word_embeddings.keys()))
train_hypernetwork_name = gr.Dropdown(label='Hypernetwork', choices=[x for x in shared.hypernetworks.keys()])
- learn_rate = gr.Number(label='Learning rate', value=5.0e-03)
+ learn_rate = gr.Textbox(label='Learning rate', placeholder="Learning rate", value="0.005")
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"))
@@ -1115,6 +1137,7 @@ def create_ui(wrap_gradio_gpu_call):
fn=modules.hypernetworks.ui.create_hypernetwork,
inputs=[
new_hypernetwork_name,
+ new_hypernetwork_sizes,
],
outputs=[
train_hypernetwork_name,
@@ -1134,6 +1157,7 @@ def create_ui(wrap_gradio_gpu_call):
process_flip,
process_split,
process_caption,
+ process_caption_deepbooru
],
outputs=[
ti_output,
@@ -1353,13 +1377,14 @@ Requested path was: {f}
shared.state.interrupt()
settings_interface.gradio_ref.do_restart = True
+
restart_gradio.click(
fn=request_restart,
inputs=[],
outputs=[],
_js='function(){restart_reload()}'
)
-
+
if column is not None:
column.__exit__()
@@ -1369,8 +1394,8 @@ Requested path was: {f}
(extras_interface, "Extras", "extras"),
(pnginfo_interface, "PNG Info", "pnginfo"),
(modelmerger_interface, "Checkpoint Merger", "modelmerger"),
- (textual_inversion_interface, "Textual inversion", "ti"),
(images_history, "History", "images_history"),
+ (train_interface, "Train", "ti"),
(settings_interface, "Settings", "settings"),
]
@@ -1393,12 +1418,12 @@ Requested path was: {f}
component_dict[k] = component
settings_interface.gradio_ref = demo
-
+
with gr.Tabs() as tabs:
for interface, label, ifid in interfaces:
with gr.TabItem(label, id=ifid, elem_id='tab_' + ifid):
interface.render()
-
+
if os.path.exists(os.path.join(script_path, "notification.mp3")):
audio_notification = gr.Audio(interactive=False, value=os.path.join(script_path, "notification.mp3"), elem_id="audio_notification", visible=False)
@@ -1531,10 +1556,10 @@ Requested path was: {f}
if getattr(obj,'custom_script_source',None) is not None:
key = 'customscript/' + obj.custom_script_source + '/' + key
-
+
if getattr(obj, 'do_not_save_to_config', False):
return
-
+
saved_value = ui_settings.get(key, None)
if saved_value is None:
ui_settings[key] = getattr(obj, field)
@@ -1558,10 +1583,10 @@ Requested path was: {f}
if type(x) == gr.Textbox:
apply_field(x, 'value')
-
+
if type(x) == gr.Number:
apply_field(x, 'value')
-
+
visit(txt2img_interface, loadsave, "txt2img")
visit(img2img_interface, loadsave, "img2img")
visit(extras_interface, loadsave, "extras")