diff options
Diffstat (limited to 'modules')
-rw-r--r-- | modules/devices.py | 19 | ||||
-rw-r--r-- | modules/extras.py | 19 | ||||
-rw-r--r-- | modules/generation_parameters_copypaste.py | 18 | ||||
-rw-r--r-- | modules/hypernetworks/hypernetwork.py | 26 | ||||
-rw-r--r-- | modules/hypernetworks/ui.py | 8 | ||||
-rw-r--r-- | modules/images_history.py | 503 | ||||
-rw-r--r-- | modules/img2img.py | 3 | ||||
-rw-r--r-- | modules/interrogate.py | 12 | ||||
-rw-r--r-- | modules/lowvram.py | 9 | ||||
-rw-r--r-- | modules/processing.py | 99 | ||||
-rw-r--r-- | modules/script_callbacks.py | 42 | ||||
-rw-r--r-- | modules/scripts.py | 246 | ||||
-rw-r--r-- | modules/sd_hijack.py | 29 | ||||
-rw-r--r-- | modules/sd_hijack_inpainting.py | 331 | ||||
-rw-r--r-- | modules/sd_models.py | 33 | ||||
-rw-r--r-- | modules/sd_samplers.py | 64 | ||||
-rw-r--r-- | modules/shared.py | 15 | ||||
-rw-r--r-- | modules/textual_inversion/dataset.py | 4 | ||||
-rw-r--r-- | modules/textual_inversion/image_embedding.py | 5 | ||||
-rw-r--r-- | modules/textual_inversion/preprocess.py | 85 | ||||
-rw-r--r-- | modules/textual_inversion/textual_inversion.py | 6 | ||||
-rw-r--r-- | modules/textual_inversion/ui.py | 4 | ||||
-rw-r--r-- | modules/txt2img.py | 7 | ||||
-rw-r--r-- | modules/ui.py | 127 |
24 files changed, 1360 insertions, 354 deletions
diff --git a/modules/devices.py b/modules/devices.py index eb422583..dc1f3cdd 100644 --- a/modules/devices.py +++ b/modules/devices.py @@ -1,7 +1,6 @@ +import sys, os, shlex import contextlib - import torch - from modules import errors # has_mps is only available in nightly pytorch (for now), `getattr` for compatibility @@ -9,10 +8,22 @@ has_mps = getattr(torch, 'has_mps', False) cpu = torch.device("cpu") +def extract_device_id(args, name): + for x in range(len(args)): + if name in args[x]: return args[x+1] + return None def get_optimal_device(): if torch.cuda.is_available(): - return torch.device("cuda") + from modules import shared + + device_id = shared.cmd_opts.device_id + + if device_id is not None: + cuda_device = f"cuda:{device_id}" + return torch.device(cuda_device) + else: + return torch.device("cuda") if has_mps: return torch.device("mps") @@ -34,7 +45,7 @@ def enable_tf32(): errors.run(enable_tf32, "Enabling TF32") -device = device_interrogate = device_gfpgan = device_bsrgan = device_esrgan = device_scunet = device_codeformer = get_optimal_device() +device = device_interrogate = device_gfpgan = device_bsrgan = device_esrgan = device_scunet = device_codeformer = None dtype = torch.float16 dtype_vae = torch.float16 diff --git a/modules/extras.py b/modules/extras.py index b853fa5b..22c5a1c1 100644 --- a/modules/extras.py +++ b/modules/extras.py @@ -39,9 +39,12 @@ def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_ if input_dir == '':
return outputs, "Please select an input directory.", ''
- image_list = [file for file in [os.path.join(input_dir, x) for x in os.listdir(input_dir)] if os.path.isfile(file)]
+ image_list = [file for file in [os.path.join(input_dir, x) for x in sorted(os.listdir(input_dir))] if os.path.isfile(file)]
for img in image_list:
- image = Image.open(img)
+ try:
+ image = Image.open(img)
+ except Exception:
+ continue
imageArr.append(image)
imageNameArr.append(img)
else:
@@ -118,10 +121,14 @@ def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_ while len(cached_images) > 2:
del cached_images[next(iter(cached_images.keys()))]
-
- images.save_image(image, path=outpath, basename="", seed=None, prompt=None, extension=opts.samples_format, info=info, short_filename=True,
- no_prompt=True, grid=False, pnginfo_section_name="extras", existing_info=existing_pnginfo,
- forced_filename=image_name if opts.use_original_name_batch else None)
+
+ if opts.use_original_name_batch and image_name != None:
+ basename = os.path.splitext(os.path.basename(image_name))[0]
+ else:
+ basename = ''
+
+ images.save_image(image, path=outpath, basename=basename, seed=None, prompt=None, extension=opts.samples_format, info=info, short_filename=True,
+ no_prompt=True, grid=False, pnginfo_section_name="extras", existing_info=existing_pnginfo, forced_filename=None)
if opts.enable_pnginfo:
image.info = existing_pnginfo
diff --git a/modules/generation_parameters_copypaste.py b/modules/generation_parameters_copypaste.py index 0f041449..f73647da 100644 --- a/modules/generation_parameters_copypaste.py +++ b/modules/generation_parameters_copypaste.py @@ -4,13 +4,22 @@ import gradio as gr from modules.shared import script_path
from modules import shared
-re_param_code = r"\s*([\w ]+):\s*([^,]+)(?:,|$)"
+re_param_code = r'\s*([\w ]+):\s*("(?:\\|\"|[^\"])+"|[^,]*)(?:,|$)'
re_param = re.compile(re_param_code)
re_params = re.compile(r"^(?:" + re_param_code + "){3,}$")
re_imagesize = re.compile(r"^(\d+)x(\d+)$")
type_of_gr_update = type(gr.update())
+def quote(text):
+ if ',' not in str(text):
+ return text
+
+ text = str(text)
+ text = text.replace('\\', '\\\\')
+ text = text.replace('"', '\\"')
+ return f'"{text}"'
+
def parse_generation_parameters(x: str):
"""parses generation parameters string, the one you see in text field under the picture in UI:
```
@@ -83,7 +92,12 @@ def connect_paste(button, paste_fields, input_comp, js=None): else:
try:
valtype = type(output.value)
- val = valtype(v)
+
+ if valtype == bool and v == "False":
+ val = False
+ else:
+ val = valtype(v)
+
res.append(gr.update(value=val))
except Exception:
res.append(gr.update())
diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py index e493f366..b7a04038 100644 --- a/modules/hypernetworks/hypernetwork.py +++ b/modules/hypernetworks/hypernetwork.py @@ -41,12 +41,12 @@ class HypernetworkModule(torch.nn.Module): linears.append(torch.nn.Linear(int(dim * layer_structure[i]), int(dim * layer_structure[i+1])))
# Add an activation func
- if activation_func == "linear":
+ if activation_func == "linear" or activation_func is None:
pass
elif activation_func in self.activation_dict:
linears.append(self.activation_dict[activation_func]())
else:
- raise NotImplementedError(
+ raise RuntimeError(
"Valid activation funcs: 'linear', 'relu', 'leakyrelu', 'elu', 'swish'"
)
@@ -65,7 +65,7 @@ class HypernetworkModule(torch.nn.Module): self.load_state_dict(state_dict)
else:
for layer in self.linear:
- if isinstance(layer, torch.nn.Linear):
+ if type(layer) == torch.nn.Linear or type(layer) == torch.nn.LayerNorm:
layer.weight.data.normal_(mean=0.0, std=0.01)
layer.bias.data.zero_()
@@ -93,7 +93,7 @@ class HypernetworkModule(torch.nn.Module): def trainables(self):
layer_structure = []
for layer in self.linear:
- if isinstance(layer, torch.nn.Linear):
+ if type(layer) == torch.nn.Linear or type(layer) == torch.nn.LayerNorm:
layer_structure += [layer.weight, layer.bias]
return layer_structure
@@ -272,6 +272,9 @@ def stack_conds(conds): def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log_directory, training_width, training_height, steps, create_image_every, save_hypernetwork_every, template_file, preview_from_txt2img, preview_prompt, preview_negative_prompt, preview_steps, preview_sampler_index, preview_cfg_scale, preview_seed, preview_width, preview_height):
+ # images allows training previews to have infotext. Importing it at the top causes a circular import problem.
+ from modules import images
+
assert hypernetwork_name, 'hypernetwork not selected'
path = shared.hypernetworks.get(hypernetwork_name, None)
@@ -314,6 +317,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log last_saved_file = "<none>"
last_saved_image = "<none>"
+ forced_filename = "<none>"
ititial_step = hypernetwork.step or 0
if ititial_step > steps:
@@ -353,7 +357,9 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log pbar.set_description(f"loss: {mean_loss:.7f}")
if hypernetwork.step > 0 and hypernetwork_dir is not None and hypernetwork.step % save_hypernetwork_every == 0:
- last_saved_file = os.path.join(hypernetwork_dir, f'{hypernetwork_name}-{hypernetwork.step}.pt')
+ # Before saving, change name to match current checkpoint.
+ hypernetwork.name = f'{hypernetwork_name}-{hypernetwork.step}'
+ last_saved_file = os.path.join(hypernetwork_dir, f'{hypernetwork.name}.pt')
hypernetwork.save(last_saved_file)
textual_inversion.write_loss(log_directory, "hypernetwork_loss.csv", hypernetwork.step, len(ds), {
@@ -362,7 +368,8 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log })
if hypernetwork.step > 0 and images_dir is not None and hypernetwork.step % create_image_every == 0:
- last_saved_image = os.path.join(images_dir, f'{hypernetwork_name}-{hypernetwork.step}.png')
+ forced_filename = f'{hypernetwork_name}-{hypernetwork.step}'
+ last_saved_image = os.path.join(images_dir, forced_filename)
optimizer.zero_grad()
shared.sd_model.cond_stage_model.to(devices.device)
@@ -398,7 +405,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log if image is not None:
shared.state.current_image = image
- image.save(last_saved_image)
+ last_saved_image, last_text_info = images.save_image(image, images_dir, "", p.seed, p.prompt, shared.opts.samples_format, processed.infotexts[0], p=p, forced_filename=forced_filename)
last_saved_image += f", prompt: {preview_text}"
shared.state.job_no = hypernetwork.step
@@ -408,7 +415,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log Loss: {mean_loss:.7f}<br/>
Step: {hypernetwork.step}<br/>
Last prompt: {html.escape(entries[0].cond_text)}<br/>
-Last saved embedding: {html.escape(last_saved_file)}<br/>
+Last saved hypernetwork: {html.escape(last_saved_file)}<br/>
Last saved image: {html.escape(last_saved_image)}<br/>
</p>
"""
@@ -417,6 +424,9 @@ Last saved image: {html.escape(last_saved_image)}<br/> hypernetwork.sd_checkpoint = checkpoint.hash
hypernetwork.sd_checkpoint_name = checkpoint.model_name
+ # Before saving for the last time, change name back to the base name (as opposed to the save_hypernetwork_every step-suffixed naming convention).
+ hypernetwork.name = hypernetwork_name
+ filename = os.path.join(shared.cmd_opts.hypernetwork_dir, f'{hypernetwork.name}.pt')
hypernetwork.save(filename)
return hypernetwork, filename
diff --git a/modules/hypernetworks/ui.py b/modules/hypernetworks/ui.py index 5f6f17b6..2b472d87 100644 --- a/modules/hypernetworks/ui.py +++ b/modules/hypernetworks/ui.py @@ -9,9 +9,13 @@ from modules import devices, sd_hijack, shared from modules.hypernetworks import hypernetwork
-def create_hypernetwork(name, enable_sizes, layer_structure=None, activation_func=None, add_layer_norm=False, use_dropout=False):
+def create_hypernetwork(name, enable_sizes, overwrite_old, layer_structure=None, activation_func=None, add_layer_norm=False, use_dropout=False):
+ # Remove illegal characters from name.
+ name = "".join( x for x in name if (x.isalnum() or x in "._- "))
+
fn = os.path.join(shared.cmd_opts.hypernetwork_dir, f"{name}.pt")
- assert not os.path.exists(fn), f"file {fn} already exists"
+ if not overwrite_old:
+ assert not os.path.exists(fn), f"file {fn} already exists"
if type(layer_structure) == str:
layer_structure = [float(x.strip()) for x in layer_structure.split(",")]
diff --git a/modules/images_history.py b/modules/images_history.py index 46b23e56..bc5cf11f 100644 --- a/modules/images_history.py +++ b/modules/images_history.py @@ -1,183 +1,424 @@ import os import shutil -import sys +import time +import hashlib +import gradio +system_bak_path = "webui_log_and_bak" +custom_tab_name = "custom fold" +faverate_tab_name = "favorites" +tabs_list = ["txt2img", "img2img", "extras", faverate_tab_name] +def is_valid_date(date): + try: + time.strptime(date, "%Y%m%d") + return True + except: + return False + +def reduplicative_file_move(src, dst): + def same_name_file(basename, path): + name, ext = os.path.splitext(basename) + f_list = os.listdir(path) + max_num = 0 + for f in f_list: + if len(f) <= len(basename): + continue + f_ext = f[-len(ext):] if len(ext) > 0 else "" + if f[:len(name)] == name and f_ext == ext: + if f[len(name)] == "(" and f[-len(ext)-1] == ")": + number = f[len(name)+1:-len(ext)-1] + if number.isdigit(): + if int(number) > max_num: + max_num = int(number) + return f"{name}({max_num + 1}){ext}" + name = os.path.basename(src) + save_name = os.path.join(dst, name) + if not os.path.exists(save_name): + shutil.move(src, dst) + else: + name = same_name_file(name, dst) + shutil.move(src, os.path.join(dst, name)) -def traverse_all_files(output_dir, image_list, curr_dir=None): - curr_path = output_dir if curr_dir is None else os.path.join(output_dir, curr_dir) +def traverse_all_files(curr_path, image_list, all_type=False): try: f_list = os.listdir(curr_path) except: - if curr_dir[-10:].rfind(".") > 0 and curr_dir[-4:] != ".txt": - image_list.append(curr_dir) + if all_type or (curr_path[-10:].rfind(".") > 0 and curr_path[-4:] != ".txt" and curr_path[-4:] != ".csv"): + image_list.append(curr_path) return image_list for file in f_list: - file = file if curr_dir is None else os.path.join(curr_dir, file) - file_path = os.path.join(curr_path, file) - if file[-4:] == ".txt": + file = os.path.join(curr_path, file) + if (not all_type) and (file[-4:] == ".txt" or file[-4:] == ".csv"): pass - elif os.path.isfile(file_path) and file[-10:].rfind(".") > 0: + elif os.path.isfile(file) and file[-10:].rfind(".") > 0: image_list.append(file) else: - image_list = traverse_all_files(output_dir, image_list, file) + image_list = traverse_all_files(file, image_list) return image_list +def auto_sorting(dir_name): + bak_path = os.path.join(dir_name, system_bak_path) + if not os.path.exists(bak_path): + os.mkdir(bak_path) + log_file = None + files_list = [] + f_list = os.listdir(dir_name) + for file in f_list: + if file == system_bak_path: + continue + file_path = os.path.join(dir_name, file) + if not is_valid_date(file): + if file[-10:].rfind(".") > 0: + files_list.append(file_path) + else: + files_list = traverse_all_files(file_path, files_list, all_type=True) -def get_recent_images(dir_name, page_index, step, image_index, tabname): - page_index = int(page_index) - image_list = [] - if not os.path.exists(dir_name): - pass - elif os.path.isdir(dir_name): - image_list = traverse_all_files(dir_name, image_list) - image_list = sorted(image_list, key=lambda file: -os.path.getctime(os.path.join(dir_name, file))) - else: - print(f'ERROR: "{dir_name}" is not a directory. Check the path in the settings.', file=sys.stderr) - num = 48 if tabname != "extras" else 12 - max_page_index = len(image_list) // num + 1 - page_index = max_page_index if page_index == -1 else page_index + step - page_index = 1 if page_index < 1 else page_index - page_index = max_page_index if page_index > max_page_index else page_index - idx_frm = (page_index - 1) * num - image_list = image_list[idx_frm:idx_frm + num] - image_index = int(image_index) - if image_index < 0 or image_index > len(image_list) - 1: - current_file = None - hidden = None - else: - current_file = image_list[int(image_index)] - hidden = os.path.join(dir_name, current_file) - return [os.path.join(dir_name, file) for file in image_list], page_index, image_list, current_file, hidden, "" - - -def first_page_click(dir_name, page_index, image_index, tabname): - return get_recent_images(dir_name, 1, 0, image_index, tabname) - - -def end_page_click(dir_name, page_index, image_index, tabname): - return get_recent_images(dir_name, -1, 0, image_index, tabname) - - -def prev_page_click(dir_name, page_index, image_index, tabname): - return get_recent_images(dir_name, page_index, -1, image_index, tabname) - - -def next_page_click(dir_name, page_index, image_index, tabname): - return get_recent_images(dir_name, page_index, 1, image_index, tabname) - - -def page_index_change(dir_name, page_index, image_index, tabname): - return get_recent_images(dir_name, page_index, 0, image_index, tabname) - - -def show_image_info(num, image_path, filenames): - # print(f"select image {num}") - file = filenames[int(num)] - return file, num, os.path.join(image_path, file) + for file in files_list: + date_str = time.strftime("%Y%m%d",time.localtime(os.path.getmtime(file))) + file_path = os.path.dirname(file) + hash_path = hashlib.md5(file_path.encode()).hexdigest() + path = os.path.join(dir_name, date_str, hash_path) + if not os.path.exists(path): + os.makedirs(path) + if log_file is None: + log_file = open(os.path.join(bak_path,"path_mapping.csv"),"a") + log_file.write(f"{hash_path},{file_path}\n") + reduplicative_file_move(file, path) + + date_list = [] + f_list = os.listdir(dir_name) + for f in f_list: + if is_valid_date(f): + date_list.append(f) + elif f == system_bak_path: + continue + else: + try: + reduplicative_file_move(os.path.join(dir_name, f), bak_path) + except: + pass + + today = time.strftime("%Y%m%d",time.localtime(time.time())) + if today not in date_list: + date_list.append(today) + return sorted(date_list, reverse=True) +def archive_images(dir_name, date_to): + filenames = [] + batch_size =int(opts.images_history_num_per_page * opts.images_history_pages_num) + if batch_size <= 0: + batch_size = opts.images_history_num_per_page * 6 + today = time.strftime("%Y%m%d",time.localtime(time.time())) + date_to = today if date_to is None or date_to == "" else date_to + date_to_bak = date_to + if False: #opts.images_history_reconstruct_directory: + date_list = auto_sorting(dir_name) + for date in date_list: + if date <= date_to: + path = os.path.join(dir_name, date) + if date == today and not os.path.exists(path): + continue + filenames = traverse_all_files(path, filenames) + if len(filenames) > batch_size: + break + filenames = sorted(filenames, key=lambda file: -os.path.getmtime(file)) + else: + filenames = traverse_all_files(dir_name, filenames) + total_num = len(filenames) + tmparray = [(os.path.getmtime(file), file) for file in filenames ] + date_stamp = time.mktime(time.strptime(date_to, "%Y%m%d")) + 86400 + filenames = [] + date_list = {date_to:None} + date = time.strftime("%Y%m%d",time.localtime(time.time())) + for t, f in tmparray: + date = time.strftime("%Y%m%d",time.localtime(t)) + date_list[date] = None + if t <= date_stamp: + filenames.append((t, f ,date)) + date_list = sorted(list(date_list.keys()), reverse=True) + sort_array = sorted(filenames, key=lambda x:-x[0]) + if len(sort_array) > batch_size: + date = sort_array[batch_size][2] + filenames = [x[1] for x in sort_array] + else: + date = date_to if len(sort_array) == 0 else sort_array[-1][2] + filenames = [x[1] for x in sort_array] + filenames = [x[1] for x in sort_array if x[2]>= date] + num = len(filenames) + last_date_from = date_to_bak if num == 0 else time.strftime("%Y%m%d", time.localtime(time.mktime(time.strptime(date, "%Y%m%d")) - 1000)) + date = date[:4] + "/" + date[4:6] + "/" + date[6:8] + date_to_bak = date_to_bak[:4] + "/" + date_to_bak[4:6] + "/" + date_to_bak[6:8] + load_info = "<div style='color:#999' align='center'>" + load_info += f"{total_num} images in this directory. Loaded {num} images during {date} - {date_to_bak}, divided into {int((num + 1) // opts.images_history_num_per_page + 1)} pages" + load_info += "</div>" + _, image_list, _, _, visible_num = get_recent_images(1, 0, filenames) + return ( + date_to, + load_info, + filenames, + 1, + image_list, + "", + "", + visible_num, + last_date_from, + gradio.update(visible=total_num > num) + ) -def delete_image(delete_num, tabname, dir_name, name, page_index, filenames, image_index): +def delete_image(delete_num, name, filenames, image_index, visible_num): if name == "": return filenames, delete_num else: delete_num = int(delete_num) + visible_num = int(visible_num) + image_index = int(image_index) index = list(filenames).index(name) i = 0 new_file_list = [] for name in filenames: if i >= index and i < index + delete_num: - path = os.path.join(dir_name, name) - if os.path.exists(path): - print(f"Delete file {path}") - os.remove(path) - txt_file = os.path.splitext(path)[0] + ".txt" + if os.path.exists(name): + if visible_num == image_index: + new_file_list.append(name) + i += 1 + continue + print(f"Delete file {name}") + os.remove(name) + visible_num -= 1 + txt_file = os.path.splitext(name)[0] + ".txt" if os.path.exists(txt_file): os.remove(txt_file) else: - print(f"Not exists file {path}") + print(f"Not exists file {name}") else: new_file_list.append(name) i += 1 - return new_file_list, 1 + return new_file_list, 1, visible_num + +def save_image(file_name): + if file_name is not None and os.path.exists(file_name): + shutil.copy(file_name, opts.outdir_save) + +def get_recent_images(page_index, step, filenames): + page_index = int(page_index) + num_of_imgs_per_page = int(opts.images_history_num_per_page) + max_page_index = len(filenames) // num_of_imgs_per_page + 1 + page_index = max_page_index if page_index == -1 else page_index + step + page_index = 1 if page_index < 1 else page_index + page_index = max_page_index if page_index > max_page_index else page_index + idx_frm = (page_index - 1) * num_of_imgs_per_page + image_list = filenames[idx_frm:idx_frm + num_of_imgs_per_page] + length = len(filenames) + visible_num = num_of_imgs_per_page if idx_frm + num_of_imgs_per_page <= length else length % num_of_imgs_per_page + visible_num = num_of_imgs_per_page if visible_num == 0 else visible_num + return page_index, image_list, "", "", visible_num + +def loac_batch_click(date_to): + if date_to is None: + return time.strftime("%Y%m%d",time.localtime(time.time())), [] + else: + return None, [] +def forward_click(last_date_from, date_to_recorder): + if len(date_to_recorder) == 0: + return None, [] + if last_date_from == date_to_recorder[-1]: + date_to_recorder = date_to_recorder[:-1] + if len(date_to_recorder) == 0: + return None, [] + return date_to_recorder[-1], date_to_recorder[:-1] + +def backward_click(last_date_from, date_to_recorder): + if last_date_from is None or last_date_from == "": + return time.strftime("%Y%m%d",time.localtime(time.time())), [] + if len(date_to_recorder) == 0 or last_date_from != date_to_recorder[-1]: + date_to_recorder.append(last_date_from) + return last_date_from, date_to_recorder + + +def first_page_click(page_index, filenames): + return get_recent_images(1, 0, filenames) +def end_page_click(page_index, filenames): + return get_recent_images(-1, 0, filenames) + +def prev_page_click(page_index, filenames): + return get_recent_images(page_index, -1, filenames) + +def next_page_click(page_index, filenames): + return get_recent_images(page_index, 1, filenames) + +def page_index_change(page_index, filenames): + return get_recent_images(page_index, 0, filenames) + +def show_image_info(tabname_box, num, page_index, filenames): + file = filenames[int(num) + int((page_index - 1) * int(opts.images_history_num_per_page))] + tm = "<div style='color:#999' align='right'>" + time.strftime("%Y-%m-%d %H:%M:%S",time.localtime(os.path.getmtime(file))) + "</div>" + return file, tm, num, file + +def enable_page_buttons(): + return gradio.update(visible=True) + +def change_dir(img_dir, date_to): + warning = None + try: + if os.path.exists(img_dir): + try: + f = os.listdir(img_dir) + except: + warning = f"'{img_dir} is not a directory" + else: + warning = "The directory is not exist" + except: + warning = "The format of the directory is incorrect" + if warning is None: + today = time.strftime("%Y%m%d",time.localtime(time.time())) + return gradio.update(visible=False), gradio.update(visible=True), None, None if date_to != today else today, gradio.update(visible=True), gradio.update(visible=True) + else: + return gradio.update(visible=True), gradio.update(visible=False), warning, date_to, gradio.update(visible=False), gradio.update(visible=False) def show_images_history(gr, opts, tabname, run_pnginfo, switch_dict): - if opts.outdir_samples != "": - dir_name = opts.outdir_samples - elif tabname == "txt2img": + custom_dir = False + if tabname == "txt2img": dir_name = opts.outdir_txt2img_samples elif tabname == "img2img": dir_name = opts.outdir_img2img_samples elif tabname == "extras": dir_name = opts.outdir_extras_samples + elif tabname == faverate_tab_name: + dir_name = opts.outdir_save else: - return - with gr.Row(): - renew_page = gr.Button('Renew Page', elem_id=tabname + "_images_history_renew_page") - first_page = gr.Button('First Page') - prev_page = gr.Button('Prev Page') - page_index = gr.Number(value=1, label="Page Index") - next_page = gr.Button('Next Page') - end_page = gr.Button('End Page') - with gr.Row(elem_id=tabname + "_images_history"): - with gr.Row(): - with gr.Column(scale=2): - history_gallery = gr.Gallery(show_label=False, elem_id=tabname + "_images_history_gallery").style(grid=6) - with gr.Row(): - delete_num = gr.Number(value=1, interactive=True, label="number of images to delete consecutively next") - delete = gr.Button('Delete', elem_id=tabname + "_images_history_del_button") - with gr.Column(): - with gr.Row(): - pnginfo_send_to_txt2img = gr.Button('Send to txt2img') - pnginfo_send_to_img2img = gr.Button('Send to img2img') - with gr.Row(): - with gr.Column(): - img_file_info = gr.Textbox(label="Generate Info", interactive=False) - img_file_name = gr.Textbox(label="File Name", interactive=False) - with gr.Row(): + custom_dir = True + dir_name = None + + if not custom_dir: + d = dir_name.split("/") + dir_name = d[0] + for p in d[1:]: + dir_name = os.path.join(dir_name, p) + if not os.path.exists(dir_name): + os.makedirs(dir_name) + + with gr.Column() as page_panel: + with gr.Row(): + with gr.Column(scale=1, visible=not custom_dir) as load_batch_box: + load_batch = gr.Button('Load', elem_id=tabname + "_images_history_start", full_width=True) + with gr.Column(scale=4): + with gr.Row(): + img_path = gr.Textbox(dir_name, label="Images directory", placeholder="Input images directory", interactive=custom_dir) + with gr.Row(): + with gr.Column(visible=False, scale=1) as batch_panel: + with gr.Row(): + forward = gr.Button('Prev batch') + backward = gr.Button('Next batch') + with gr.Column(scale=3): + load_info = gr.HTML(visible=not custom_dir) + with gr.Row(visible=False) as warning: + warning_box = gr.Textbox("Message", interactive=False) + + with gr.Row(visible=not custom_dir, elem_id=tabname + "_images_history") as main_panel: + with gr.Column(scale=2): + with gr.Row(visible=True) as turn_page_buttons: + #date_to = gr.Dropdown(label="Date to") + first_page = gr.Button('First Page') + prev_page = gr.Button('Prev Page') + page_index = gr.Number(value=1, label="Page Index") + next_page = gr.Button('Next Page') + end_page = gr.Button('End Page') + + history_gallery = gr.Gallery(show_label=False, elem_id=tabname + "_images_history_gallery").style(grid=opts.images_history_grid_num) + with gr.Row(): + delete_num = gr.Number(value=1, interactive=True, label="number of images to delete consecutively next") + delete = gr.Button('Delete', elem_id=tabname + "_images_history_del_button") + + with gr.Column(): + with gr.Row(): |