diff options
Diffstat (limited to 'modules')
| -rw-r--r-- | modules/hypernetworks/hypernetwork.py | 33 | ||||
| -rw-r--r-- | modules/images_history.py | 184 | ||||
| -rw-r--r-- | modules/processing.py | 2 | ||||
| -rw-r--r-- | modules/textual_inversion/dataset.py | 33 | ||||
| -rw-r--r-- | modules/textual_inversion/textual_inversion.py | 17 | ||||
| -rw-r--r-- | modules/ui.py | 21 |
6 files changed, 168 insertions, 122 deletions
diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py index 59c7ac6e..a2b3bc0a 100644 --- a/modules/hypernetworks/hypernetwork.py +++ b/modules/hypernetworks/hypernetwork.py @@ -182,7 +182,21 @@ def attention_CrossAttention_forward(self, x, context=None, mask=None): return self.to_out(out)
-def train_hypernetwork(hypernetwork_name, learn_rate, data_root, log_directory, 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):
+def stack_conds(conds):
+ if len(conds) == 1:
+ return torch.stack(conds)
+
+ # same as in reconstruct_multicond_batch
+ token_count = max([x.shape[0] for x in conds])
+ for i in range(len(conds)):
+ if conds[i].shape[0] != token_count:
+ last_vector = conds[i][-1:]
+ last_vector_repeated = last_vector.repeat([token_count - conds[i].shape[0], 1])
+ conds[i] = torch.vstack([conds[i], last_vector_repeated])
+
+ return torch.stack(conds)
+
+def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log_directory, 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):
assert hypernetwork_name, 'hypernetwork not selected'
path = shared.hypernetworks.get(hypernetwork_name, None)
@@ -211,7 +225,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, data_root, log_directory, shared.state.textinfo = f"Preparing dataset from {html.escape(data_root)}..."
with torch.autocast("cuda"):
- ds = modules.textual_inversion.dataset.PersonalizedBase(data_root=data_root, width=512, height=512, repeats=shared.opts.training_image_repeats_per_epoch, placeholder_token=hypernetwork_name, model=shared.sd_model, device=devices.device, template_file=template_file, include_cond=True)
+ ds = modules.textual_inversion.dataset.PersonalizedBase(data_root=data_root, width=512, height=512, repeats=shared.opts.training_image_repeats_per_epoch, placeholder_token=hypernetwork_name, model=shared.sd_model, device=devices.device, template_file=template_file, include_cond=True, batch_size=batch_size)
if unload:
shared.sd_model.cond_stage_model.to(devices.cpu)
@@ -235,7 +249,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, data_root, log_directory, optimizer = torch.optim.AdamW(weights, lr=scheduler.learn_rate)
pbar = tqdm.tqdm(enumerate(ds), total=steps - ititial_step)
- for i, entry in pbar:
+ for i, entries in pbar:
hypernetwork.step = i + ititial_step
scheduler.apply(optimizer, hypernetwork.step)
@@ -246,11 +260,12 @@ def train_hypernetwork(hypernetwork_name, learn_rate, data_root, log_directory, break
with torch.autocast("cuda"):
- cond = entry.cond.to(devices.device)
- x = entry.latent.to(devices.device)
- loss = shared.sd_model(x.unsqueeze(0), cond)[0]
+ c = stack_conds([entry.cond for entry in entries]).to(devices.device)
+# c = torch.vstack([entry.cond for entry in entries]).to(devices.device)
+ x = torch.stack([entry.latent for entry in entries]).to(devices.device)
+ loss = shared.sd_model(x, c)[0]
del x
- del cond
+ del c
losses[hypernetwork.step % losses.shape[0]] = loss.item()
@@ -292,7 +307,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, data_root, log_directory, p.width = preview_width
p.height = preview_height
else:
- p.prompt = entry.cond_text
+ p.prompt = entries[0].cond_text
p.steps = 20
preview_text = p.prompt
@@ -315,7 +330,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, data_root, log_directory, <p>
Loss: {losses.mean():.7f}<br/>
Step: {hypernetwork.step}<br/>
-Last prompt: {html.escape(entry.cond_text)}<br/>
+Last prompt: {html.escape(entries[0].cond_text)}<br/>
Last saved embedding: {html.escape(last_saved_file)}<br/>
Last saved image: {html.escape(last_saved_image)}<br/>
</p>
diff --git a/modules/images_history.py b/modules/images_history.py index 723f5301..9260df8a 100644 --- a/modules/images_history.py +++ b/modules/images_history.py @@ -1,5 +1,7 @@ import os import shutil + + 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) try: @@ -16,10 +18,10 @@ def traverse_all_files(output_dir, image_list, curr_dir=None): elif os.path.isfile(file_path) 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(output_dir, image_list, file) return image_list - + def get_recent_images(dir_name, page_index, step, image_index, tabname): page_index = int(page_index) f_list = os.listdir(dir_name) @@ -27,36 +29,48 @@ def get_recent_images(dir_name, page_index, step, image_index, tabname): 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))) num = 48 if tabname != "extras" else 12 - max_page_index = len(image_list) // num + 1 + 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 = 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 + if image_index < 0 or image_index > len(image_list) - 1: + current_file = None hidden = None else: - current_file = image_list[int(image_index)] + 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): + + +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): + + +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}") + # print(f"select image {num}") file = filenames[int(num)] return file, num, os.path.join(image_path, file) + + def delete_image(delete_num, tabname, dir_name, name, page_index, filenames, image_index): if name == "": return filenames, delete_num @@ -66,14 +80,14 @@ def delete_image(delete_num, tabname, dir_name, name, page_index, filenames, ima i = 0 new_file_list = [] for name in filenames: - if i >= index and i < index + delete_num: + if i >= index and i < index + delete_num: path = os.path.join(dir_name, name) - if os.path.exists(path): + if os.path.exists(path): print(f"Delete file {path}") os.remove(path) - txt_file = os.path.splitext(path)[0] + ".txt" + txt_file = os.path.splitext(path)[0] + ".txt" if os.path.exists(txt_file): - os.remove(txt_file) + os.remove(txt_file) else: print(f"Not exists file {path}") else: @@ -81,81 +95,83 @@ def delete_image(delete_num, tabname, dir_name, name, page_index, filenames, ima i += 1 return new_file_list, 1 + def show_images_history(gr, opts, tabname, run_pnginfo, switch_dict): - 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 - d = dir_name.split("/") - dir_name = d[0] - for p in d[1:]: - dir_name = os.path.join(dir_name, p) - 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(): - # hiden items - - img_path = gr.Textbox(dir_name.rstrip("/") , visible=False) - tabname_box = gr.Textbox(tabname, visible=False) - image_index = gr.Textbox(value=-1, visible=False) - set_index = gr.Button('set_index', elem_id=tabname + "_images_history_set_index", visible=False) - filenames = gr.State() - hidden = gr.Image(type="pil", visible=False) - info1 = gr.Textbox(visible=False) - info2 = gr.Textbox(visible=False) - - - # turn pages - gallery_inputs = [img_path, page_index, image_index, tabname_box] - gallery_outputs = [history_gallery, page_index, filenames, img_file_name, hidden, img_file_name] - - first_page.click(first_page_click, _js="images_history_turnpage", inputs=gallery_inputs, outputs=gallery_outputs) - next_page.click(next_page_click, _js="images_history_turnpage", inputs=gallery_inputs, outputs=gallery_outputs) - prev_page.click(prev_page_click, _js="images_history_turnpage", inputs=gallery_inputs, outputs=gallery_outputs) - end_page.click(end_page_click, _js="images_history_turnpage", inputs=gallery_inputs, outputs=gallery_outputs) - page_index.submit(page_index_change, _js="images_history_turnpage", inputs=gallery_inputs, outputs=gallery_outputs) - renew_page.click(page_index_change, _js="images_history_turnpage", inputs=gallery_inputs, outputs=gallery_outputs) - #page_index.change(page_index_change, inputs=[tabname_box, img_path, page_index], outputs=[history_gallery, page_index]) - - #other funcitons - set_index.click(show_image_info, _js="images_history_get_current_img", inputs=[tabname_box, img_path, filenames], outputs=[img_file_name, image_index, hidden]) - img_file_name.change(fn=None, _js="images_history_enable_del_buttons", inputs=None, outputs=None) - delete.click(delete_image,_js="images_history_delete", inputs=[delete_num, tabname_box, img_path, img_file_name, page_index, filenames, image_index], outputs=[filenames, delete_num]) - hidden.change(fn=run_pnginfo, inputs=[hidden], outputs=[info1, img_file_info, info2]) - - #pnginfo.click(fn=run_pnginfo, inputs=[hidden], outputs=[info1, img_file_info, info2]) - switch_dict["fn"](pnginfo_send_to_txt2img, switch_dict["t2i"], img_file_info, 'switch_to_txt2img') - switch_dict["fn"](pnginfo_send_to_img2img, switch_dict["i2i"], img_file_info, 'switch_to_img2img_img2img') - - + if opts.outdir_samples != "": + dir_name = opts.outdir_samples + elif 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 + d = dir_name.split("/") + dir_name = "/" if dir_name.startswith("/") else d[0] + for p in d[1:]: + dir_name = os.path.join(dir_name, p) + 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(): + # hiden items + + img_path = gr.Textbox(dir_name.rstrip("/"), visible=False) + tabname_box = gr.Textbox(tabname, visible=False) + image_index = gr.Textbox(value=-1, visible=False) + set_index = gr.Button('set_index', elem_id=tabname + "_images_history_set_index", visible=False) + filenames = gr.State() + hidden = gr.Image(type="pil", visible=False) + info1 = gr.Textbox(visible=False) + info2 = gr.Textbox(visible=False) + + # turn pages + gallery_inputs = [img_path, page_index, image_index, tabname_box] + gallery_outputs = [history_gallery, page_index, filenames, img_file_name, hidden, img_file_name] + + first_page.click(first_page_click, _js="images_history_turnpage", inputs=gallery_inputs, outputs=gallery_outputs) + next_page.click(next_page_click, _js="images_history_turnpage", inputs=gallery_inputs, outputs=gallery_outputs) + prev_page.click(prev_page_click, _js="images_history_turnpage", inputs=gallery_inputs, outputs=gallery_outputs) + end_page.click(end_page_click, _js="images_history_turnpage", inputs=gallery_inputs, outputs=gallery_outputs) + page_index.submit(page_index_change, _js="images_history_turnpage", inputs=gallery_inputs, outputs=gallery_outputs) + renew_page.click(page_index_change, _js="images_history_turnpage", inputs=gallery_inputs, outputs=gallery_outputs) + # page_index.change(page_index_change, inputs=[tabname_box, img_path, page_index], outputs=[history_gallery, page_index]) + + # other funcitons + set_index.click(show_image_info, _js="images_history_get_current_img", inputs=[tabname_box, img_path, filenames], outputs=[img_file_name, image_index, hidden]) + img_file_name.change(fn=None, _js="images_history_enable_del_buttons", inputs=None, outputs=None) + delete.click(delete_image, _js="images_history_delete", inputs=[delete_num, tabname_box, img_path, img_file_name, page_index, filenames, image_index], outputs=[filenames, delete_num]) + hidden.change(fn=run_pnginfo, inputs=[hidden], outputs=[info1, img_file_info, info2]) + + # pnginfo.click(fn=run_pnginfo, inputs=[hidden], outputs=[info1, img_file_info, info2]) + switch_dict["fn"](pnginfo_send_to_txt2img, switch_dict["t2i"], img_file_info, 'switch_to_txt2img') + switch_dict["fn"](pnginfo_send_to_img2img, switch_dict["i2i"], img_file_info, 'switch_to_img2img_img2img') + + def create_history_tabs(gr, opts, run_pnginfo, switch_dict): with gr.Blocks(analytics_enabled=False) as images_history: with gr.Tabs() as tabs: with gr.Tab("txt2img history"): - with gr.Blocks(analytics_enabled=False) as images_history_txt2img: - show_images_history(gr, opts, "txt2img", run_pnginfo, switch_dict) + with gr.Blocks(analytics_enabled=False) as images_history_txt2img: + show_images_history(gr, opts, "txt2img", run_pnginfo, switch_dict) with gr.Tab("img2img history"): with gr.Blocks(analytics_enabled=False) as images_history_img2img: show_images_history(gr, opts, "img2img", run_pnginfo, switch_dict) diff --git a/modules/processing.py b/modules/processing.py index a75b9f84..7e2a416d 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -140,7 +140,7 @@ class Processed: self.sampler_noise_scheduler_override = p.sampler_noise_scheduler_override
self.prompt = self.prompt if type(self.prompt) != list else self.prompt[0]
self.negative_prompt = self.negative_prompt if type(self.negative_prompt) != list else self.negative_prompt[0]
- self.seed = int(self.seed if type(self.seed) != list else self.seed[0])
+ self.seed = int(self.seed if type(self.seed) != list else self.seed[0]) if self.seed is not None else -1
self.subseed = int(self.subseed if type(self.subseed) != list else self.subseed[0]) if self.subseed is not None else -1
self.all_prompts = all_prompts or [self.prompt]
diff --git a/modules/textual_inversion/dataset.py b/modules/textual_inversion/dataset.py index 12e2f43b..23bb4b6a 100644 --- a/modules/textual_inversion/dataset.py +++ b/modules/textual_inversion/dataset.py @@ -24,11 +24,12 @@ class DatasetEntry: class PersonalizedBase(Dataset):
- def __init__(self, data_root, width, height, repeats, flip_p=0.5, placeholder_token="*", model=None, device=None, template_file=None, include_cond=False):
- re_word = re.compile(shared.opts.dataset_filename_word_regex) if len(shared.opts.dataset_filename_word_regex)>0 else None
+ def __init__(self, data_root, width, height, repeats, flip_p=0.5, placeholder_token="*", model=None, device=None, template_file=None, include_cond=False, batch_size=1):
+ re_word = re.compile(shared.opts.dataset_filename_word_regex) if len(shared.opts.dataset_filename_word_regex) > 0 else None
self.placeholder_token = placeholder_token
+ self.batch_size = batch_size
self.width = width
self.height = height
self.flip = transforms.RandomHorizontalFlip(p=flip_p)
@@ -78,14 +79,14 @@ class PersonalizedBase(Dataset): if include_cond:
entry.cond_text = self.create_text(filename_text)
- entry.cond = cond_model([entry.cond_text]).to(devices.cpu)
+ entry.cond = cond_model([entry.cond_text]).to(devices.cpu).squeeze(0)
self.dataset.append(entry)
-
+
assert len(self.dataset) > 1, "No images have been found in the dataset."
- self.length = len(self.dataset) * repeats
+ self.length = len(self.dataset) * repeats // batch_size
- self.initial_indexes = np.arange(self.length) % len(self.dataset)
+ self.initial_indexes = np.arange(len(self.dataset))
self.indexes = None
self.shuffle()
@@ -102,13 +103,19 @@ class PersonalizedBase(Dataset): return self.length
def __getitem__(self, i):
- if i % len(self.dataset) == 0:
- self.shuffle()
+ res = []
+
+ for j in range(self.batch_size):
+ position = i * self.batch_size + j
+ if position % len(self.indexes) == 0:
+ self.shuffle()
+
+ index = self.indexes[position % len(self.indexes)]
+ entry = self.dataset[index]
- index = self.indexes[i % len(self.indexes)]
- entry = self.dataset[index]
+ if entry.cond is None:
+ entry.cond_text = self.create_text(entry.filename_text)
- if entry.cond is None:
- entry.cond_text = self.create_text(entry.filename_text)
+ res.append(entry)
- return entry
+ return res
diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py index da0d77a0..e754747e 100644 --- a/modules/textual_inversion/textual_inversion.py +++ b/modules/textual_inversion/textual_inversion.py @@ -199,7 +199,7 @@ def write_loss(log_directory, filename, step, epoch_len, values): })
-def train_embedding(embedding_name, learn_rate, data_root, log_directory, training_width, training_height, steps, create_image_every, save_embedding_every, template_file, save_image_with_stored_embedding, preview_from_txt2img, preview_prompt, preview_negative_prompt, preview_steps, preview_sampler_index, preview_cfg_scale, preview_seed, preview_width, preview_height):
+def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_directory, training_width, training_height, steps, create_image_every, save_embedding_every, template_file, save_image_with_stored_embedding, preview_from_txt2img, preview_prompt, preview_negative_prompt, preview_steps, preview_sampler_index, preview_cfg_scale, preview_seed, preview_width, preview_height):
assert embedding_name, 'embedding not selected'
shared.state.textinfo = "Initializing textual inversion training..."
@@ -231,7 +231,7 @@ def train_embedding(embedding_name, learn_rate, data_root, log_directory, traini shared.state.textinfo = f"Preparing dataset from {html.escape(data_root)}..."
with torch.autocast("cuda"):
- ds = modules.textual_inversion.dataset.PersonalizedBase(data_root=data_root, width=training_width, height=training_height, repeats=shared.opts.training_image_repeats_per_epoch, placeholder_token=embedding_name, model=shared.sd_model, device=devices.device, template_file=template_file)
+ ds = modules.textual_inversion.dataset.PersonalizedBase(data_root=data_root, width=training_width, height=training_height, repeats=shared.opts.training_image_repeats_per_epoch, placeholder_token=embedding_name, model=shared.sd_model, device=devices.device, template_file=template_file, batch_size=batch_size)
hijack = sd_hijack.model_hijack
@@ -251,7 +251,7 @@ def train_embedding(embedding_name, learn_rate, data_root, log_directory, traini optimizer = torch.optim.AdamW([embedding.vec], lr=scheduler.learn_rate)
pbar = tqdm.tqdm(enumerate(ds), total=steps-ititial_step)
- for i, entry in pbar:
+ for i, entries in pbar:
embedding.step = i + ititial_step
scheduler.apply(optimizer, embedding.step)
@@ -262,10 +262,9 @@ def train_embedding(embedding_name, learn_rate, data_root, log_directory, traini break
with torch.autocast("cuda"):
- c = cond_model([entry.cond_text])
-
- x = entry.latent.to(devices.device)
- loss = shared.sd_model(x.unsqueeze(0), c)[0]
+ c = cond_model([entry.cond_text for entry in entries])
+ x = torch.stack([entry.latent for entry in entries]).to(devices.device)
+ loss = shared.sd_model(x, c)[0]
del x
losses[embedding.step % losses.shape[0]] = loss.item()
@@ -307,7 +306,7 @@ def train_embedding(embedding_name, learn_rate, data_root, log_directory, traini p.width = preview_width
p.height = preview_height
else:
- p.prompt = entry.cond_text
+ p.prompt = entries[0].cond_text
p.steps = 20
p.width = training_width
p.height = training_height
@@ -348,7 +347,7 @@ def train_embedding(embedding_name, learn_rate, data_root, log_directory, traini <p>
Loss: {losses.mean():.7f}<br/>
Step: {embedding.step}<br/>
-Last prompt: {html.escape(entry.cond_text)}<br/>
+Last prompt: {html.escape(entries[0].cond_text)}<br/>
Last saved embedding: {html.escape(last_saved_file)}<br/>
Last saved image: {html.escape(last_saved_image)}<br/>
</p>
diff --git a/modules/ui.py b/modules/ui.py index a1d18be9..baf4c397 100644 --- a/modules/ui.py +++ b/modules/ui.py @@ -433,7 +433,10 @@ def create_toprow(is_img2img): with gr.Row():
with gr.Column(scale=80):
with gr.Row():
- prompt = gr.Textbox(label="Prompt", elem_id=f"{id_part}_prompt", show_label=False, placeholder="Prompt", lines=2)
+ prompt = gr.Textbox(label="Prompt", elem_id=f"{id_part}_prompt", show_label=False, lines=2,
+ placeholder="Prompt (press Ctrl+Enter or Alt+Enter to generate)"
+ )
+
with gr.Column(scale=1, elem_id="roll_col"):
roll = gr.Button(value=art_symbol, elem_id="roll", visible=len(shared.artist_db.artists) > 0)
paste = gr.Button(value=paste_symbol, elem_id="paste")
@@ -446,7 +449,10 @@ def create_toprow(is_img2img): with gr.Row():
with gr.Column(scale=8):
with gr.Row():
- negative_prompt = gr.Textbox(label="Negative prompt", elem_id="negative_prompt", show_label=False, placeholder="Negative prompt", lines=2)
+ negative_prompt = gr.Textbox(label="Negative prompt", elem_id=f"{id_part}_neg_prompt", show_label=False, lines=2,
+ placeholder="Negative prompt (press Ctrl+Enter or Alt+Enter to generate)"
+ )
+
with gr.Column(scale=1, elem_id="roll_col"):
sh = gr.Button(elem_id="sh", visible=True)
@@ -567,8 +573,8 @@ def create_ui(wrap_gradio_gpu_call): enable_hr = gr.Checkbox(label='Highres. fix', value=False)
with gr.Row(visible=False) as hr_options:
- firstphase_width = gr.Slider(minimum=0, maximum=1024, step=64, label="First pass width", value=0)
- firstphase_height = gr.Slider(minimum=0, maximum=1024, step=64, label="First pass height", value=0)
+ firstphase_width = gr.Slider(minimum=0, maximum=1024, step=64, label="Firstpass width", value=0)
+ firstphase_height = gr.Slider(minimum=0, maximum=1024, step=64, label="Firstpass height", value=0)
denoising_strength = gr.Slider(minimum=0.0, maximum=1.0, step=0.01, label='Denoising strength', value=0.7)
with gr.Row(equal_height=True):
@@ -1090,7 +1096,7 @@ def create_ui(wrap_gradio_gpu_call): "i2i":img2img_paste_fields
}
- #images_history = img_his.create_history_tabs(gr, opts, wrap_gradio_call(modules.extras.run_pnginfo), images_history_switch_dict)
+ images_history = img_his.create_history_tabs(gr, opts, wrap_gradio_call(modules.extras.run_pnginfo), images_history_switch_dict)
with gr.Blocks() as modelmerger_interface:
with gr.Row().style(equal_height=False):
@@ -1166,6 +1172,7 @@ def create_ui(wrap_gradio_gpu_call): 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.Textbox(label='Learning rate', placeholder="Learning rate", value="0.005")
+ batch_size = gr.Number(label='Batch size', value=1, precision=0)
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"))
@@ -1244,6 +1251,7 @@ def create_ui(wrap_gradio_gpu_call): inputs=[
train_embedding_name,
learn_rate,
+ batch_size,
dataset_directory,
log_directory,
training_width,
@@ -1268,6 +1276,7 @@ def create_ui(wrap_gradio_gpu_call): inputs=[
train_hypernetwork_name,
learn_rate,
+ batch_size,
dataset_directory,
log_directory,
steps,
@@ -1487,7 +1496,7 @@ Requested path was: {f} (img2img_interface, "img2img", "img2img"),
(extras_interface, "Extras", "extras"),
(pnginfo_interface, "PNG Info", "pnginfo"),
- #(images_history, "History", "images_history"),
+ (images_history, "History", "images_history"),
(modelmerger_interface, "Checkpoint Merger", "modelmerger"),
(train_interface, "Train", "ti"),
(settings_interface, "Settings", "settings"),
|