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-rw-r--r--modules/ui.py176
1 files changed, 145 insertions, 31 deletions
diff --git a/modules/ui.py b/modules/ui.py
index 051908c1..10b1ee3a 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -25,6 +25,8 @@ import gradio.routes
from modules import sd_hijack
from modules.paths import script_path
from modules.shared import opts, cmd_opts
+if cmd_opts.deepdanbooru:
+ from modules.deepbooru import get_deepbooru_tags
import modules.shared as shared
from modules.sd_samplers import samplers, samplers_for_img2img
from modules.sd_hijack import model_hijack
@@ -39,7 +41,7 @@ from modules.images import save_image
import modules.textual_inversion.ui
import modules.hypernetwork.ui
-# this is a fix for Windows users. Without it, javascript files will be served with text/html content-type and the bowser will not show any UI
+# this is a fix for Windows users. Without it, javascript files will be served with text/html content-type and the browser will not show any UI
mimetypes.init()
mimetypes.add_type('application/javascript', '.js')
@@ -99,11 +101,12 @@ def send_gradio_gallery_to_image(x):
return image_from_url_text(x[0])
-def save_files(js_data, images, index):
+def save_files(js_data, images, do_make_zip, index):
import csv
filenames = []
+ fullfns = []
- #quick dictionary to class object conversion. Its neccesary due apply_filename_pattern requiring it
+ #quick dictionary to class object conversion. Its necessary due apply_filename_pattern requiring it
class MyObject:
def __init__(self, d=None):
if d is not None:
@@ -138,14 +141,29 @@ def save_files(js_data, images, index):
is_grid = image_index < p.index_of_first_image
i = 0 if is_grid else (image_index - p.index_of_first_image)
- fullfn = save_image(image, path, "", seed=p.all_seeds[i], prompt=p.all_prompts[i], extension=extension, info=p.infotexts[image_index], grid=is_grid, p=p, save_to_dirs=save_to_dirs)
+ fullfn, txt_fullfn = save_image(image, path, "", seed=p.all_seeds[i], prompt=p.all_prompts[i], extension=extension, info=p.infotexts[image_index], grid=is_grid, p=p, save_to_dirs=save_to_dirs)
filename = os.path.relpath(fullfn, path)
filenames.append(filename)
+ fullfns.append(fullfn)
+ if txt_fullfn:
+ filenames.append(os.path.basename(txt_fullfn))
+ fullfns.append(txt_fullfn)
writer.writerow([data["prompt"], data["seed"], data["width"], data["height"], data["sampler"], data["cfg_scale"], data["steps"], filenames[0], data["negative_prompt"]])
- return '', '', plaintext_to_html(f"Saved: {filenames[0]}")
+ # Make Zip
+ if do_make_zip:
+ zip_filepath = os.path.join(path, "images.zip")
+
+ from zipfile import ZipFile
+ with ZipFile(zip_filepath, "w") as zip_file:
+ for i in range(len(fullfns)):
+ with open(fullfns[i], mode="rb") as f:
+ zip_file.writestr(filenames[i], f.read())
+ fullfns.insert(0, zip_filepath)
+
+ return gr.File.update(value=fullfns, visible=True), '', '', plaintext_to_html(f"Saved: {filenames[0]}")
def wrap_gradio_call(func, extra_outputs=None):
@@ -192,6 +210,7 @@ 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
@@ -292,6 +311,11 @@ def interrogate(image):
return gr_show(True) if prompt is None else prompt
+def interrogate_deepbooru(image):
+ prompt = get_deepbooru_tags(image, opts.interrogate_deepbooru_score_threshold)
+ return gr_show(True) if prompt is None else prompt
+
+
def create_seed_inputs():
with gr.Row():
with gr.Box():
@@ -412,24 +436,36 @@ def create_toprow(is_img2img):
with gr.Column(scale=1):
with gr.Row():
+ skip = gr.Button('Skip', elem_id=f"{id_part}_skip")
interrupt = gr.Button('Interrupt', elem_id=f"{id_part}_interrupt")
submit = gr.Button('Generate', elem_id=f"{id_part}_generate", variant='primary')
+ skip.click(
+ fn=lambda: shared.state.skip(),
+ inputs=[],
+ outputs=[],
+ )
+
interrupt.click(
fn=lambda: shared.state.interrupt(),
inputs=[],
outputs=[],
)
- with gr.Row():
+ with gr.Row(scale=1):
if is_img2img:
- interrogate = gr.Button('Interrogate', elem_id="interrogate")
+ interrogate = gr.Button('Interrogate\nCLIP', elem_id="interrogate")
+ if cmd_opts.deepdanbooru:
+ deepbooru = gr.Button('Interrogate\nDeepBooru', elem_id="deepbooru")
+ else:
+ deepbooru = None
else:
interrogate = None
+ deepbooru = None
prompt_style_apply = gr.Button('Apply style', elem_id="style_apply")
save_style = gr.Button('Create style', elem_id="style_create")
- return prompt, roll, prompt_style, negative_prompt, prompt_style2, submit, interrogate, prompt_style_apply, save_style, paste, token_counter, token_button
+ return prompt, roll, prompt_style, negative_prompt, prompt_style2, submit, interrogate, deepbooru, prompt_style_apply, save_style, paste, token_counter, token_button
def setup_progressbar(progressbar, preview, id_part, textinfo=None):
@@ -458,7 +494,7 @@ def create_ui(wrap_gradio_gpu_call):
import modules.txt2img
with gr.Blocks(analytics_enabled=False) as txt2img_interface:
- txt2img_prompt, roll, txt2img_prompt_style, txt2img_negative_prompt, txt2img_prompt_style2, submit, _, txt2img_prompt_style_apply, txt2img_save_style, paste, token_counter, token_button = create_toprow(is_img2img=False)
+ txt2img_prompt, roll, txt2img_prompt_style, txt2img_negative_prompt, txt2img_prompt_style2, submit, _, _, txt2img_prompt_style_apply, txt2img_save_style, paste, token_counter, token_button = create_toprow(is_img2img=False)
dummy_component = gr.Label(visible=False)
with gr.Row(elem_id='txt2img_progress_row'):
@@ -489,7 +525,7 @@ def create_ui(wrap_gradio_gpu_call):
denoising_strength = gr.Slider(minimum=0.0, maximum=1.0, step=0.01, label='Denoising strength', value=0.7)
with gr.Row():
- batch_count = gr.Slider(minimum=1, maximum=cmd_opts.max_batch_count, step=1, label='Batch count', value=1)
+ batch_count = gr.Slider(minimum=1, step=1, label='Batch count', value=1)
batch_size = gr.Slider(minimum=1, maximum=8, step=1, label='Batch size', value=1)
cfg_scale = gr.Slider(minimum=1.0, maximum=30.0, step=0.5, label='CFG Scale', value=7.0)
@@ -514,6 +550,12 @@ 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.Group():
html_info = gr.HTML()
generation_info = gr.Textbox(visible=False)
@@ -563,13 +605,15 @@ def create_ui(wrap_gradio_gpu_call):
save.click(
fn=wrap_gradio_call(save_files),
- _js="(x, y, z) => [x, y, selected_gallery_index()]",
+ _js="(x, y, z, w) => [x, y, z, selected_gallery_index()]",
inputs=[
generation_info,
txt2img_gallery,
+ do_make_zip,
html_info,
],
outputs=[
+ download_files,
html_info,
html_info,
html_info,
@@ -610,7 +654,7 @@ def create_ui(wrap_gradio_gpu_call):
token_button.click(fn=update_token_counter, inputs=[txt2img_prompt, steps], outputs=[token_counter])
with gr.Blocks(analytics_enabled=False) as img2img_interface:
- img2img_prompt, roll, img2img_prompt_style, img2img_negative_prompt, img2img_prompt_style2, submit, img2img_interrogate, img2img_prompt_style_apply, img2img_save_style, paste, token_counter, token_button = create_toprow(is_img2img=True)
+ img2img_prompt, roll, img2img_prompt_style, img2img_negative_prompt, img2img_prompt_style2, submit, img2img_interrogate, img2img_deepbooru, img2img_prompt_style_apply, img2img_save_style, paste, token_counter, token_button = create_toprow(is_img2img=True)
with gr.Row(elem_id='img2img_progress_row'):
with gr.Column(scale=1):
@@ -667,7 +711,7 @@ def create_ui(wrap_gradio_gpu_call):
tiling = gr.Checkbox(label='Tiling', value=False)
with gr.Row():
- batch_count = gr.Slider(minimum=1, maximum=cmd_opts.max_batch_count, step=1, label='Batch count', value=1)
+ batch_count = gr.Slider(minimum=1, step=1, label='Batch count', value=1)
batch_size = gr.Slider(minimum=1, maximum=8, step=1, label='Batch size', value=1)
with gr.Group():
@@ -694,6 +738,12 @@ 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.Group():
html_info = gr.HTML()
generation_info = gr.Textbox(visible=False)
@@ -767,15 +817,24 @@ def create_ui(wrap_gradio_gpu_call):
outputs=[img2img_prompt],
)
+ if cmd_opts.deepdanbooru:
+ img2img_deepbooru.click(
+ fn=interrogate_deepbooru,
+ inputs=[init_img],
+ outputs=[img2img_prompt],
+ )
+
save.click(
fn=wrap_gradio_call(save_files),
- _js="(x, y, z) => [x, y, selected_gallery_index()]",
+ _js="(x, y, z, w) => [x, y, z, selected_gallery_index()]",
inputs=[
generation_info,
img2img_gallery,
- html_info
+ do_make_zip,
+ html_info,
],
outputs=[
+ download_files,
html_info,
html_info,
html_info,
@@ -903,7 +962,7 @@ def create_ui(wrap_gradio_gpu_call):
extras_send_to_inpaint.click(
fn=lambda x: image_from_url_text(x),
- _js="extract_image_from_gallery_img2img",
+ _js="extract_image_from_gallery_inpaint",
inputs=[result_images],
outputs=[init_img_with_mask],
)
@@ -939,7 +998,7 @@ def create_ui(wrap_gradio_gpu_call):
custom_name = gr.Textbox(label="Custom Name (Optional)")
interp_amount = gr.Slider(minimum=0.0, maximum=1.0, step=0.05, label='Interpolation Amount', value=0.3)
interp_method = gr.Radio(choices=["Weighted Sum", "Sigmoid", "Inverse Sigmoid"], value="Weighted Sum", label="Interpolation Method")
- save_as_half = gr.Checkbox(value=False, label="Safe as float16")
+ save_as_half = gr.Checkbox(value=False, label="Save as float16")
modelmerger_merge = gr.Button(elem_id="modelmerger_merge", label="Merge", variant='primary')
with gr.Column(variant='panel'):
@@ -983,11 +1042,13 @@ def create_ui(wrap_gradio_gpu_call):
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)
+ process_height = gr.Slider(minimum=64, maximum=2048, step=64, label="Height", value=512)
with gr.Row():
- process_flip = gr.Checkbox(label='Flip')
- process_split = gr.Checkbox(label='Split into two')
- process_caption = gr.Checkbox(label='Add caption')
+ 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')
with gr.Row():
with gr.Column(scale=3):
@@ -997,14 +1058,17 @@ def create_ui(wrap_gradio_gpu_call):
run_preprocess = gr.Button(value="Preprocess", variant='primary')
with gr.Group():
- gr.HTML(value="<p style='margin-bottom: 0.7em'>Train an embedding; must specify a directory with a set of 512x512 images</p>")
+ 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)
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"))
+ training_width = gr.Slider(minimum=64, maximum=2048, step=64, label="Width", value=512)
+ training_height = gr.Slider(minimum=64, maximum=2048, step=64, label="Height", value=512)
steps = gr.Number(label='Max steps', value=100000, precision=0)
+ num_repeats = gr.Number(label='Number of repeats for a single input image per epoch', value=100, 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)
preview_image_prompt = gr.Textbox(label='Preview prompt', value="")
@@ -1056,6 +1120,8 @@ def create_ui(wrap_gradio_gpu_call):
inputs=[
process_src,
process_dst,
+ process_width,
+ process_height,
process_flip,
process_split,
process_caption,
@@ -1074,7 +1140,10 @@ def create_ui(wrap_gradio_gpu_call):
learn_rate,
dataset_directory,
log_directory,
+ training_width,
+ training_height,
steps,
+ num_repeats,
create_image_every,
save_embedding_every,
template_file,
@@ -1138,6 +1207,15 @@ def create_ui(wrap_gradio_gpu_call):
component_dict = {}
def open_folder(f):
+ if not os.path.isdir(f):
+ print(f"""
+WARNING
+An open_folder request was made with an argument that is not a folder.
+This could be an error or a malicious attempt to run code on your computer.
+Requested path was: {f}
+""", file=sys.stderr)
+ return
+
if not shared.cmd_opts.hide_ui_dir_config:
path = os.path.normpath(f)
if platform.system() == "Windows":
@@ -1151,10 +1229,13 @@ def create_ui(wrap_gradio_gpu_call):
changed = 0
for key, value, comp in zip(opts.data_labels.keys(), args, components):
- if 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__}"
+ 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()
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
@@ -1172,6 +1253,21 @@ def create_ui(wrap_gradio_gpu_call):
return f'{changed} settings changed.', opts.dumpjson()
+ def run_settings_single(value, key):
+ if not opts.same_type(value, opts.data_labels[key].default):
+ return gr.update(visible=True), opts.dumpjson()
+
+ oldval = opts.data.get(key, None)
+ opts.data[key] = value
+
+ if oldval != value:
+ if opts.data_labels[key].onchange is not None:
+ opts.data_labels[key].onchange()
+
+ opts.save(shared.config_filename)
+
+ return gr.update(value=value), opts.dumpjson()
+
with gr.Blocks(analytics_enabled=False) as settings_interface:
settings_submit = gr.Button(value="Apply settings", variant='primary')
result = gr.HTML()
@@ -1179,6 +1275,8 @@ def create_ui(wrap_gradio_gpu_call):
settings_cols = 3
items_per_col = int(len(opts.data_labels) * 0.9 / settings_cols)
+ quicksettings_list = []
+
cols_displayed = 0
items_displayed = 0
previous_section = None
@@ -1201,10 +1299,14 @@ def create_ui(wrap_gradio_gpu_call):
gr.HTML(elem_id="settings_header_text_{}".format(item.section[0]), value='<h1 class="gr-button-lg">{}</h1>'.format(item.section[1]))
- component = create_setting_component(k)
- component_dict[k] = component
- components.append(component)
- items_displayed += 1
+ if item.show_on_main_page:
+ quicksettings_list.append((i, k, item))
+ components.append(dummy_component)
+ else:
+ component = create_setting_component(k)
+ component_dict[k] = component
+ components.append(component)
+ items_displayed += 1
request_notifications = gr.Button(value='Request browser notifications', elem_id="request_notifications")
request_notifications.click(
@@ -1218,7 +1320,6 @@ def create_ui(wrap_gradio_gpu_call):
reload_script_bodies = gr.Button(value='Reload custom script bodies (No ui updates, No restart)', variant='secondary')
restart_gradio = gr.Button(value='Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)', variant='primary')
-
def reload_scripts():
modules.scripts.reload_script_body_only()
@@ -1265,12 +1366,16 @@ def create_ui(wrap_gradio_gpu_call):
css += css_hide_progressbar
with gr.Blocks(css=css, analytics_enabled=False, title="Stable Diffusion") as demo:
-
+ with gr.Row(elem_id="quicksettings"):
+ for i, k, item in quicksettings_list:
+ component = create_setting_component(k)
+ 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):
+ with gr.TabItem(label, id=ifid, elem_id='tab_' + ifid):
interface.render()
if os.path.exists(os.path.join(script_path, "notification.mp3")):
@@ -1282,7 +1387,16 @@ def create_ui(wrap_gradio_gpu_call):
inputs=components,
outputs=[result, text_settings],
)
-
+
+ for i, k, item in quicksettings_list:
+ component = component_dict[k]
+
+ component.change(
+ fn=lambda value, k=k: run_settings_single(value, key=k),
+ inputs=[component],
+ outputs=[component, text_settings],
+ )
+
def modelmerger(*args):
try:
results = modules.extras.run_modelmerger(*args)
generated by cgit v1.2.1 (git 2.18.0) at 2024-09-20 17:39:32 +0000