mirror of
https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
synced 2025-08-09 13:49:48 +00:00
Merge remote-tracking branch 'upstream/master'
This commit is contained in:
@@ -1,5 +1,5 @@
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import inspect
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from pydantic import BaseModel, Field, Json, create_model
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from pydantic import BaseModel, Field, create_model
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from typing import Any, Optional
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from typing_extensions import Literal
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from inflection import underscore
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|
@@ -16,6 +16,7 @@ from modules.textual_inversion import textual_inversion
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from modules.textual_inversion.learn_schedule import LearnRateScheduler
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from torch import einsum
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from collections import defaultdict, deque
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from statistics import stdev, mean
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class HypernetworkModule(torch.nn.Module):
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@@ -269,19 +270,18 @@ def stack_conds(conds):
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return torch.stack(conds)
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def log_statistics(loss_info:dict, key, value):
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if key not in loss_info:
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loss_info[key] = [value]
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else:
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loss_info[key].append(value)
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if len(loss_info) > 1024:
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loss_info.pop(0)
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def statistics(data):
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total_information = f"loss:{mean(data):.3f}"+u"\u00B1"+f"({stdev(data)/ (len(data)**0.5):.3f})"
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if len(data) < 2:
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std = 0
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else:
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std = stdev(data)
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total_information = f"loss:{mean(data):.3f}" + u"\u00B1" + f"({std/ (len(data) ** 0.5):.3f})"
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recent_data = data[-32:]
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recent_information = f"recent 32 loss:{mean(recent_data):.3f}"+u"\u00B1"+f"({stdev(recent_data)/ (len(recent_data)**0.5):.3f})"
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if len(recent_data) < 2:
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std = 0
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else:
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std = stdev(recent_data)
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recent_information = f"recent 32 loss:{mean(recent_data):.3f}" + u"\u00B1" + f"({std / (len(recent_data) ** 0.5):.3f})"
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return total_information, recent_information
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@@ -290,7 +290,7 @@ def report_statistics(loss_info:dict):
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for key in keys:
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try:
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print("Loss statistics for file " + key)
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info, recent = statistics(loss_info[key])
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info, recent = statistics(list(loss_info[key]))
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print(info)
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print(recent)
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except Exception as e:
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@@ -341,8 +341,9 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
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weight.requires_grad = True
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size = len(ds.indexes)
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loss_dict = {}
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loss_dict = defaultdict(lambda : deque(maxlen = 1024))
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losses = torch.zeros((size,))
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previous_mean_losses = [0]
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previous_mean_loss = 0
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print("Mean loss of {} elements".format(size))
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@@ -364,7 +365,8 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
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for i, entries in pbar:
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hypernetwork.step = i + ititial_step
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if len(loss_dict) > 0:
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previous_mean_loss = sum(i[-1] for i in loss_dict.values()) / len(loss_dict)
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previous_mean_losses = [i[-1] for i in loss_dict.values()]
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previous_mean_loss = mean(previous_mean_losses)
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scheduler.apply(optimizer, hypernetwork.step)
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if scheduler.finished:
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@@ -383,7 +385,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
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losses[hypernetwork.step % losses.shape[0]] = loss.item()
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for entry in entries:
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log_statistics(loss_dict, entry.filename, loss.item())
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loss_dict[entry.filename].append(loss.item())
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optimizer.zero_grad()
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weights[0].grad = None
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@@ -399,7 +401,13 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
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if torch.isnan(losses[hypernetwork.step % losses.shape[0]]):
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raise RuntimeError("Loss diverged.")
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pbar.set_description(f"dataset loss: {previous_mean_loss:.7f}")
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if len(previous_mean_losses) > 1:
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std = stdev(previous_mean_losses)
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else:
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std = 0
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dataset_loss_info = f"dataset loss:{mean(previous_mean_losses):.3f}" + u"\u00B1" + f"({std / (len(previous_mean_losses) ** 0.5):.3f})"
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pbar.set_description(dataset_loss_info)
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if hypernetwork.step > 0 and hypernetwork_dir is not None and hypernetwork.step % save_hypernetwork_every == 0:
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# Before saving, change name to match current checkpoint.
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|
@@ -1,4 +1,8 @@
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import datetime
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import sys
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import traceback
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import pytz
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import io
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import math
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import os
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@@ -273,10 +277,15 @@ invalid_filename_chars = '<>:"/\\|?*\n'
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invalid_filename_prefix = ' '
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invalid_filename_postfix = ' .'
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re_nonletters = re.compile(r'[\s' + string.punctuation + ']+')
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re_pattern = re.compile(r"([^\[\]]+|\[([^]]+)]|[\[\]]*)")
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re_pattern_arg = re.compile(r"(.*)<([^>]*)>$")
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max_filename_part_length = 128
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def sanitize_filename_part(text, replace_spaces=True):
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if text is None:
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return None
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if replace_spaces:
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text = text.replace(' ', '_')
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@@ -286,49 +295,103 @@ def sanitize_filename_part(text, replace_spaces=True):
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return text
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def apply_filename_pattern(x, p, seed, prompt):
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max_prompt_words = opts.directories_max_prompt_words
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class FilenameGenerator:
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replacements = {
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'seed': lambda self: self.seed if self.seed is not None else '',
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'steps': lambda self: self.p and self.p.steps,
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'cfg': lambda self: self.p and self.p.cfg_scale,
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'width': lambda self: self.p and self.p.width,
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'height': lambda self: self.p and self.p.height,
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'styles': lambda self: self.p and sanitize_filename_part(", ".join([style for style in self.p.styles if not style == "None"]) or "None", replace_spaces=False),
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'sampler': lambda self: self.p and sanitize_filename_part(sd_samplers.samplers[self.p.sampler_index].name, replace_spaces=False),
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'model_hash': lambda self: getattr(self.p, "sd_model_hash", shared.sd_model.sd_model_hash),
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'date': lambda self: datetime.datetime.now().strftime('%Y-%m-%d'),
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'datetime': lambda self, *args: self.datetime(*args), # accepts formats: [datetime], [datetime<Format>], [datetime<Format><Time Zone>]
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'job_timestamp': lambda self: getattr(self.p, "job_timestamp", shared.state.job_timestamp),
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'prompt': lambda self: sanitize_filename_part(self.prompt),
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'prompt_no_styles': lambda self: self.prompt_no_style(),
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'prompt_spaces': lambda self: sanitize_filename_part(self.prompt, replace_spaces=False),
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'prompt_words': lambda self: self.prompt_words(),
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}
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default_time_format = '%Y%m%d%H%M%S'
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if seed is not None:
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x = x.replace("[seed]", str(seed))
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def __init__(self, p, seed, prompt):
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self.p = p
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self.seed = seed
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self.prompt = prompt
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if p is not None:
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x = x.replace("[steps]", str(p.steps))
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x = x.replace("[cfg]", str(p.cfg_scale))
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x = x.replace("[width]", str(p.width))
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x = x.replace("[height]", str(p.height))
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x = x.replace("[styles]", sanitize_filename_part(", ".join([x for x in p.styles if not x == "None"]) or "None", replace_spaces=False))
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x = x.replace("[sampler]", sanitize_filename_part(sd_samplers.samplers[p.sampler_index].name, replace_spaces=False))
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def prompt_no_style(self):
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if self.p is None or self.prompt is None:
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return None
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x = x.replace("[model_hash]", getattr(p, "sd_model_hash", shared.sd_model.sd_model_hash))
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||||
x = x.replace("[date]", datetime.date.today().isoformat())
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x = x.replace("[datetime]", datetime.datetime.now().strftime("%Y%m%d%H%M%S"))
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x = x.replace("[job_timestamp]", getattr(p, "job_timestamp", shared.state.job_timestamp))
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prompt_no_style = self.prompt
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for style in shared.prompt_styles.get_style_prompts(self.p.styles):
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if len(style) > 0:
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for part in style.split("{prompt}"):
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prompt_no_style = prompt_no_style.replace(part, "").replace(", ,", ",").strip().strip(',')
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# Apply [prompt] at last. Because it may contain any replacement word.^M
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if prompt is not None:
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x = x.replace("[prompt]", sanitize_filename_part(prompt))
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if "[prompt_no_styles]" in x:
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prompt_no_style = prompt
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for style in shared.prompt_styles.get_style_prompts(p.styles):
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if len(style) > 0:
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style_parts = [y for y in style.split("{prompt}")]
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for part in style_parts:
|
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prompt_no_style = prompt_no_style.replace(part, "").replace(", ,", ",").strip().strip(',')
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prompt_no_style = prompt_no_style.replace(style, "").strip().strip(',').strip()
|
||||
x = x.replace("[prompt_no_styles]", sanitize_filename_part(prompt_no_style, replace_spaces=False))
|
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prompt_no_style = prompt_no_style.replace(style, "").strip().strip(',').strip()
|
||||
|
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x = x.replace("[prompt_spaces]", sanitize_filename_part(prompt, replace_spaces=False))
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if "[prompt_words]" in x:
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words = [x for x in re_nonletters.split(prompt or "") if len(x) > 0]
|
||||
if len(words) == 0:
|
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words = ["empty"]
|
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x = x.replace("[prompt_words]", sanitize_filename_part(" ".join(words[0:max_prompt_words]), replace_spaces=False))
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return sanitize_filename_part(prompt_no_style, replace_spaces=False)
|
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|
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if cmd_opts.hide_ui_dir_config:
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x = re.sub(r'^[\\/]+|\.{2,}[\\/]+|[\\/]+\.{2,}', '', x)
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def prompt_words(self):
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words = [x for x in re_nonletters.split(self.prompt or "") if len(x) > 0]
|
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if len(words) == 0:
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words = ["empty"]
|
||||
return sanitize_filename_part(" ".join(words[0:opts.directories_max_prompt_words]), replace_spaces=False)
|
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|
||||
return x
|
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def datetime(self, *args):
|
||||
time_datetime = datetime.datetime.now()
|
||||
|
||||
time_format = args[0] if len(args) > 0 else self.default_time_format
|
||||
time_zone = pytz.timezone(args[1]) if len(args) > 1 else None
|
||||
|
||||
time_zone_time = time_datetime.astimezone(time_zone)
|
||||
try:
|
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formatted_time = time_zone_time.strftime(time_format)
|
||||
except (ValueError, TypeError) as _:
|
||||
formatted_time = time_zone_time.strftime(self.default_time_format)
|
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|
||||
return sanitize_filename_part(formatted_time, replace_spaces=False)
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|
||||
def apply(self, x):
|
||||
res = ''
|
||||
|
||||
for m in re_pattern.finditer(x):
|
||||
text, pattern = m.groups()
|
||||
|
||||
if pattern is None:
|
||||
res += text
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||||
continue
|
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|
||||
pattern_args = []
|
||||
while True:
|
||||
m = re_pattern_arg.match(pattern)
|
||||
if m is None:
|
||||
break
|
||||
|
||||
pattern, arg = m.groups()
|
||||
pattern_args.insert(0, arg)
|
||||
|
||||
fun = self.replacements.get(pattern.lower())
|
||||
if fun is not None:
|
||||
try:
|
||||
replacement = fun(self, *pattern_args)
|
||||
except Exception:
|
||||
replacement = None
|
||||
print(f"Error adding [{pattern}] to filename", file=sys.stderr)
|
||||
print(traceback.format_exc(), file=sys.stderr)
|
||||
|
||||
if replacement is None:
|
||||
res += f'[{pattern}]'
|
||||
else:
|
||||
res += str(replacement)
|
||||
|
||||
continue
|
||||
|
||||
res += f'[{pattern}]'
|
||||
|
||||
return res
|
||||
|
||||
|
||||
def get_next_sequence_number(path, basename):
|
||||
@@ -354,7 +417,7 @@ def get_next_sequence_number(path, basename):
|
||||
|
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|
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def save_image(image, path, basename, seed=None, prompt=None, extension='png', info=None, short_filename=False, no_prompt=False, grid=False, pnginfo_section_name='parameters', p=None, existing_info=None, forced_filename=None, suffix="", save_to_dirs=None):
|
||||
'''Save an image.
|
||||
"""Save an image.
|
||||
|
||||
Args:
|
||||
image (`PIL.Image`):
|
||||
@@ -385,18 +448,8 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
|
||||
The full path of the saved imaged.
|
||||
txt_fullfn (`str` or None):
|
||||
If a text file is saved for this image, this will be its full path. Otherwise None.
|
||||
'''
|
||||
if short_filename or prompt is None or seed is None:
|
||||
file_decoration = ""
|
||||
elif opts.save_to_dirs:
|
||||
file_decoration = opts.samples_filename_pattern or "[seed]"
|
||||
else:
|
||||
file_decoration = opts.samples_filename_pattern or "[seed]-[prompt_spaces]"
|
||||
|
||||
if file_decoration != "":
|
||||
file_decoration = "-" + file_decoration.lower()
|
||||
|
||||
file_decoration = apply_filename_pattern(file_decoration, p, seed, prompt) + suffix
|
||||
"""
|
||||
namegen = FilenameGenerator(p, seed, prompt)
|
||||
|
||||
if extension == 'png' and opts.enable_pnginfo and info is not None:
|
||||
pnginfo = PngImagePlugin.PngInfo()
|
||||
@@ -413,21 +466,37 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
|
||||
save_to_dirs = (grid and opts.grid_save_to_dirs) or (not grid and opts.save_to_dirs and not no_prompt)
|
||||
|
||||
if save_to_dirs:
|
||||
dirname = apply_filename_pattern(opts.directories_filename_pattern or "[prompt_words]", p, seed, prompt).strip('\\ /')
|
||||
dirname = namegen.apply(opts.directories_filename_pattern or "[prompt_words]").lstrip(' ').rstrip('\\ /')
|
||||
path = os.path.join(path, dirname)
|
||||
|
||||
os.makedirs(path, exist_ok=True)
|
||||
|
||||
if forced_filename is None:
|
||||
basecount = get_next_sequence_number(path, basename)
|
||||
fullfn = "a.png"
|
||||
fullfn_without_extension = "a"
|
||||
for i in range(500):
|
||||
fn = f"{basecount + i:05}" if basename == '' else f"{basename}-{basecount + i:04}"
|
||||
fullfn = os.path.join(path, f"{fn}{file_decoration}.{extension}")
|
||||
fullfn_without_extension = os.path.join(path, f"{fn}{file_decoration}")
|
||||
if not os.path.exists(fullfn):
|
||||
break
|
||||
if short_filename or seed is None:
|
||||
file_decoration = ""
|
||||
else:
|
||||
file_decoration = opts.samples_filename_pattern or "[seed]"
|
||||
|
||||
add_number = opts.save_images_add_number or file_decoration == ''
|
||||
|
||||
if file_decoration != "" and add_number:
|
||||
file_decoration = "-" + file_decoration
|
||||
|
||||
file_decoration = namegen.apply(file_decoration) + suffix
|
||||
|
||||
if add_number:
|
||||
basecount = get_next_sequence_number(path, basename)
|
||||
fullfn = None
|
||||
fullfn_without_extension = None
|
||||
for i in range(500):
|
||||
fn = f"{basecount + i:05}" if basename == '' else f"{basename}-{basecount + i:04}"
|
||||
fullfn = os.path.join(path, f"{fn}{file_decoration}.{extension}")
|
||||
fullfn_without_extension = os.path.join(path, f"{fn}{file_decoration}")
|
||||
if not os.path.exists(fullfn):
|
||||
break
|
||||
else:
|
||||
fullfn = os.path.join(path, f"{file_decoration}.{extension}")
|
||||
fullfn_without_extension = os.path.join(path, file_decoration)
|
||||
else:
|
||||
fullfn = os.path.join(path, f"{forced_filename}.{extension}")
|
||||
fullfn_without_extension = os.path.join(path, forced_filename)
|
||||
|
@@ -1,424 +0,0 @@
|
||||
import os
|
||||
import shutil
|
||||
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(curr_path, image_list, all_type=False):
|
||||
try:
|
||||
f_list = os.listdir(curr_path)
|
||||
except:
|
||||
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 = os.path.join(curr_path, file)
|
||||
if (not all_type) and (file[-4:] == ".txt" or file[-4:] == ".csv"):
|
||||
pass
|
||||
elif os.path.isfile(file) and file[-10:].rfind(".") > 0:
|
||||
image_list.append(file)
|
||||
else:
|
||||
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)
|
||||
|
||||
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, 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:
|
||||
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 {name}")
|
||||
else:
|
||||
new_file_list.append(name)
|
||||
i += 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):
|
||||
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:
|
||||
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():
|
||||
with gr.Column():
|
||||
img_file_info = gr.Textbox(label="Generate Info", interactive=False, lines=6)
|
||||
gr.HTML("<hr>")
|
||||
img_file_name = gr.Textbox(value="", label="File Name", interactive=False)
|
||||
img_file_time= gr.HTML()
|
||||
with gr.Row():
|
||||
if tabname != faverate_tab_name:
|
||||
save_btn = gr.Button('Collect')
|
||||
pnginfo_send_to_txt2img = gr.Button('Send to txt2img')
|
||||
pnginfo_send_to_img2img = gr.Button('Send to img2img')
|
||||
|
||||
|
||||
# hiden items
|
||||
with gr.Row(visible=False):
|
||||
renew_page = gr.Button('Refresh page', elem_id=tabname + "_images_history_renew_page")
|
||||
batch_date_to = gr.Textbox(label="Date to")
|
||||
visible_img_num = gr.Number()
|
||||
date_to_recorder = gr.State([])
|
||||
last_date_from = gr.Textbox()
|
||||
tabname_box = gr.Textbox(tabname)
|
||||
image_index = gr.Textbox(value=-1)
|
||||
set_index = gr.Button('set_index', elem_id=tabname + "_images_history_set_index")
|
||||
filenames = gr.State()
|
||||
all_images_list = gr.State()
|
||||
hidden = gr.Image(type="pil")
|
||||
info1 = gr.Textbox()
|
||||
info2 = gr.Textbox()
|
||||
|
||||
img_path.submit(change_dir, inputs=[img_path, batch_date_to], outputs=[warning, main_panel, warning_box, batch_date_to, load_batch_box, load_info])
|
||||
|
||||
#change batch
|
||||
change_date_output = [batch_date_to, load_info, filenames, page_index, history_gallery, img_file_name, img_file_time, visible_img_num, last_date_from, batch_panel]
|
||||
|
||||
batch_date_to.change(archive_images, inputs=[img_path, batch_date_to], outputs=change_date_output)
|
||||
batch_date_to.change(enable_page_buttons, inputs=None, outputs=[turn_page_buttons])
|
||||
batch_date_to.change(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
|
||||
|
||||
load_batch.click(loac_batch_click, inputs=[batch_date_to], outputs=[batch_date_to, date_to_recorder])
|
||||
forward.click(forward_click, inputs=[last_date_from, date_to_recorder], outputs=[batch_date_to, date_to_recorder])
|
||||
backward.click(backward_click, inputs=[last_date_from, date_to_recorder], outputs=[batch_date_to, date_to_recorder])
|
||||
|
||||
|
||||
#delete
|
||||
delete.click(delete_image, inputs=[delete_num, img_file_name, filenames, image_index, visible_img_num], outputs=[filenames, delete_num, visible_img_num])
|
||||
delete.click(fn=None, _js="images_history_delete", inputs=[delete_num, tabname_box, image_index], outputs=None)
|
||||
if tabname != faverate_tab_name:
|
||||
save_btn.click(save_image, inputs=[img_file_name], outputs=None)
|
||||
|
||||
#turn page
|
||||
gallery_inputs = [page_index, filenames]
|
||||
gallery_outputs = [page_index, history_gallery, img_file_name, img_file_time, visible_img_num]
|
||||
first_page.click(first_page_click, inputs=gallery_inputs, outputs=gallery_outputs)
|
||||
next_page.click(next_page_click, inputs=gallery_inputs, outputs=gallery_outputs)
|
||||
prev_page.click(prev_page_click, inputs=gallery_inputs, outputs=gallery_outputs)
|
||||
end_page.click(end_page_click, inputs=gallery_inputs, outputs=gallery_outputs)
|
||||
page_index.submit(page_index_change, inputs=gallery_inputs, outputs=gallery_outputs)
|
||||
renew_page.click(page_index_change, inputs=gallery_inputs, outputs=gallery_outputs)
|
||||
|
||||
first_page.click(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
|
||||
next_page.click(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
|
||||
prev_page.click(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
|
||||
end_page.click(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
|
||||
page_index.submit(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
|
||||
renew_page.click(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
|
||||
|
||||
# other funcitons
|
||||
set_index.click(show_image_info, _js="images_history_get_current_img", inputs=[tabname_box, image_index, page_index, filenames], outputs=[img_file_name, img_file_time, image_index, hidden])
|
||||
img_file_name.change(fn=None, _js="images_history_enable_del_buttons", inputs=None, outputs=None)
|
||||
hidden.change(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, sys_opts, cmp_ops, run_pnginfo, switch_dict):
|
||||
global opts;
|
||||
opts = sys_opts
|
||||
loads_files_num = int(opts.images_history_num_per_page)
|
||||
num_of_imgs_per_page = int(opts.images_history_num_per_page * opts.images_history_pages_num)
|
||||
if cmp_ops.browse_all_images:
|
||||
tabs_list.append(custom_tab_name)
|
||||
with gr.Blocks(analytics_enabled=False) as images_history:
|
||||
with gr.Tabs() as tabs:
|
||||
for tab in tabs_list:
|
||||
with gr.Tab(tab):
|
||||
with gr.Blocks(analytics_enabled=False) :
|
||||
show_images_history(gr, opts, tab, run_pnginfo, switch_dict)
|
||||
gradio.Checkbox(opts.images_history_preload, elem_id="images_history_preload", visible=False)
|
||||
gradio.Textbox(",".join(tabs_list), elem_id="images_history_tabnames_list", visible=False)
|
||||
|
||||
return images_history
|
@@ -47,6 +47,25 @@ def apply_color_correction(correction, image):
|
||||
return image
|
||||
|
||||
|
||||
def apply_overlay(image, paste_loc, index, overlays):
|
||||
if overlays is None or index >= len(overlays):
|
||||
return image
|
||||
|
||||
overlay = overlays[index]
|
||||
|
||||
if paste_loc is not None:
|
||||
x, y, w, h = paste_loc
|
||||
base_image = Image.new('RGBA', (overlay.width, overlay.height))
|
||||
image = images.resize_image(1, image, w, h)
|
||||
base_image.paste(image, (x, y))
|
||||
image = base_image
|
||||
|
||||
image = image.convert('RGBA')
|
||||
image.alpha_composite(overlay)
|
||||
image = image.convert('RGB')
|
||||
|
||||
return image
|
||||
|
||||
def get_correct_sampler(p):
|
||||
if isinstance(p, modules.processing.StableDiffusionProcessingTxt2Img):
|
||||
return sd_samplers.samplers
|
||||
@@ -449,22 +468,11 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
|
||||
|
||||
if p.color_corrections is not None and i < len(p.color_corrections):
|
||||
if opts.save and not p.do_not_save_samples and opts.save_images_before_color_correction:
|
||||
images.save_image(image, p.outpath_samples, "", seeds[i], prompts[i], opts.samples_format, info=infotext(n, i), p=p, suffix="-before-color-correction")
|
||||
image_without_cc = apply_overlay(image, p.paste_to, i, p.overlay_images)
|
||||
images.save_image(image_without_cc, p.outpath_samples, "", seeds[i], prompts[i], opts.samples_format, info=infotext(n, i), p=p, suffix="-before-color-correction")
|
||||
image = apply_color_correction(p.color_corrections[i], image)
|
||||
|
||||
if p.overlay_images is not None and i < len(p.overlay_images):
|
||||
overlay = p.overlay_images[i]
|
||||
|
||||
if p.paste_to is not None:
|
||||
x, y, w, h = p.paste_to
|
||||
base_image = Image.new('RGBA', (overlay.width, overlay.height))
|
||||
image = images.resize_image(1, image, w, h)
|
||||
base_image.paste(image, (x, y))
|
||||
image = base_image
|
||||
|
||||
image = image.convert('RGBA')
|
||||
image.alpha_composite(overlay)
|
||||
image = image.convert('RGB')
|
||||
image = apply_overlay(image, p.paste_to, i, p.overlay_images)
|
||||
|
||||
if opts.samples_save and not p.do_not_save_samples:
|
||||
images.save_image(image, p.outpath_samples, "", seeds[i], prompts[i], opts.samples_format, info=infotext(n, i), p=p)
|
||||
|
@@ -16,7 +16,7 @@ def model_loaded_callback(sd_model):
|
||||
|
||||
def ui_tabs_callback():
|
||||
res = []
|
||||
|
||||
|
||||
for callback in callbacks_ui_tabs:
|
||||
res += callback() or []
|
||||
|
||||
|
@@ -80,12 +80,13 @@ parser.add_argument('--vae-path', type=str, help='Path to Variational Autoencode
|
||||
parser.add_argument("--disable-safe-unpickle", action='store_true', help="disable checking pytorch models for malicious code", default=False)
|
||||
parser.add_argument("--api", action='store_true', help="use api=True to launch the api with the webui")
|
||||
parser.add_argument("--nowebui", action='store_true', help="use api=True to launch the api instead of the webui")
|
||||
parser.add_argument("--ui-debug-mode", action='store_true', help="Don't load model to quickly launch UI")
|
||||
parser.add_argument("--device-id", type=str, help="Select the default CUDA device to use (export CUDA_VISIBLE_DEVICES=0,1,etc might be needed before)", default=None)
|
||||
parser.add_argument("--browse-all-images", action='store_true', help="Allow browsing all images by Image Browser", default=False)
|
||||
|
||||
cmd_opts = parser.parse_args()
|
||||
restricted_opts = [
|
||||
"samples_filename_pattern",
|
||||
"directories_filename_pattern",
|
||||
"outdir_samples",
|
||||
"outdir_txt2img_samples",
|
||||
"outdir_img2img_samples",
|
||||
@@ -190,7 +191,8 @@ options_templates = {}
|
||||
options_templates.update(options_section(('saving-images', "Saving images/grids"), {
|
||||
"samples_save": OptionInfo(True, "Always save all generated images"),
|
||||
"samples_format": OptionInfo('png', 'File format for images'),
|
||||
"samples_filename_pattern": OptionInfo("", "Images filename pattern"),
|
||||
"samples_filename_pattern": OptionInfo("", "Images filename pattern", component_args=hide_dirs),
|
||||
"save_images_add_number": OptionInfo(True, "Add number to filename when saving", component_args=hide_dirs),
|
||||
|
||||
"grid_save": OptionInfo(True, "Always save all generated image grids"),
|
||||
"grid_format": OptionInfo('png', 'File format for grids'),
|
||||
@@ -225,8 +227,8 @@ options_templates.update(options_section(('saving-to-dirs', "Saving to a directo
|
||||
"save_to_dirs": OptionInfo(False, "Save images to a subdirectory"),
|
||||
"grid_save_to_dirs": OptionInfo(False, "Save grids to a subdirectory"),
|
||||
"use_save_to_dirs_for_ui": OptionInfo(False, "When using \"Save\" button, save images to a subdirectory"),
|
||||
"directories_filename_pattern": OptionInfo("", "Directory name pattern"),
|
||||
"directories_max_prompt_words": OptionInfo(8, "Max prompt words for [prompt_words] pattern", gr.Slider, {"minimum": 1, "maximum": 20, "step": 1}),
|
||||
"directories_filename_pattern": OptionInfo("", "Directory name pattern", component_args=hide_dirs),
|
||||
"directories_max_prompt_words": OptionInfo(8, "Max prompt words for [prompt_words] pattern", gr.Slider, {"minimum": 1, "maximum": 20, "step": 1, **hide_dirs}),
|
||||
}))
|
||||
|
||||
options_templates.update(options_section(('upscaling', "Upscaling"), {
|
||||
@@ -320,15 +322,6 @@ options_templates.update(options_section(('sampler-params', "Sampler parameters"
|
||||
'eta_noise_seed_delta': OptionInfo(0, "Eta noise seed delta", gr.Number, {"precision": 0}),
|
||||
}))
|
||||
|
||||
options_templates.update(options_section(('images-history', "Images Browser"), {
|
||||
#"images_history_reconstruct_directory": OptionInfo(False, "Reconstruct output directory structure.This can greatly improve the speed of loading , but will change the original output directory structure"),
|
||||
"images_history_preload": OptionInfo(False, "Preload images at startup"),
|
||||
"images_history_num_per_page": OptionInfo(36, "Number of pictures displayed on each page"),
|
||||
"images_history_pages_num": OptionInfo(6, "Minimum number of pages per load "),
|
||||
"images_history_grid_num": OptionInfo(6, "Number of grids in each row"),
|
||||
|
||||
}))
|
||||
|
||||
|
||||
class Options:
|
||||
data = None
|
||||
@@ -357,7 +350,7 @@ class Options:
|
||||
|
||||
def save(self, filename):
|
||||
with open(filename, "w", encoding="utf8") as file:
|
||||
json.dump(self.data, file)
|
||||
json.dump(self.data, file, indent=4)
|
||||
|
||||
def same_type(self, x, y):
|
||||
if x is None or y is None:
|
||||
|
@@ -38,7 +38,6 @@ import modules.codeformer_model
|
||||
import modules.generation_parameters_copypaste
|
||||
import modules.gfpgan_model
|
||||
import modules.hypernetworks.ui
|
||||
import modules.images_history as img_his
|
||||
import modules.ldsr_model
|
||||
import modules.scripts
|
||||
import modules.shared as shared
|
||||
@@ -51,12 +50,11 @@ from modules.sd_samplers import samplers, samplers_for_img2img
|
||||
import modules.textual_inversion.ui
|
||||
import modules.hypernetworks.ui
|
||||
|
||||
import modules.images_history as img_his
|
||||
|
||||
|
||||
# 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')
|
||||
txt2img_paste_fields = []
|
||||
img2img_paste_fields = []
|
||||
|
||||
|
||||
if not cmd_opts.share and not cmd_opts.listen:
|
||||
@@ -786,6 +784,7 @@ def create_ui(wrap_gradio_gpu_call):
|
||||
]
|
||||
)
|
||||
|
||||
global txt2img_paste_fields
|
||||
txt2img_paste_fields = [
|
||||
(txt2img_prompt, "Prompt"),
|
||||
(txt2img_negative_prompt, "Negative prompt"),
|
||||
@@ -1056,6 +1055,7 @@ def create_ui(wrap_gradio_gpu_call):
|
||||
outputs=[prompt, negative_prompt, style1, style2],
|
||||
)
|
||||
|
||||
global img2img_paste_fields
|
||||
img2img_paste_fields = [
|
||||
(img2img_prompt, "Prompt"),
|
||||
(img2img_negative_prompt, "Negative prompt"),
|
||||
@@ -1104,9 +1104,9 @@ def create_ui(wrap_gradio_gpu_call):
|
||||
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', elem_id="extras_upscaler_1", choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name, type="index")
|
||||
extras_upscaler_1 = gr.Radio(label='Upscaler 1', elem_id="extras_upscaler_1", choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name, type="index")
|
||||
|
||||
with gr.Group():
|
||||
extras_upscaler_2 = gr.Radio(label='Upscaler 2', elem_id="extras_upscaler_2", choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name, type="index")
|
||||
@@ -1193,15 +1193,7 @@ def create_ui(wrap_gradio_gpu_call):
|
||||
inputs=[image],
|
||||
outputs=[html, generation_info, html2],
|
||||
)
|
||||
#images history
|
||||
images_history_switch_dict = {
|
||||
"fn": modules.generation_parameters_copypaste.connect_paste,
|
||||
"t2i": txt2img_paste_fields,
|
||||
"i2i": img2img_paste_fields
|
||||
}
|
||||
|
||||
images_history = img_his.create_history_tabs(gr, opts, cmd_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):
|
||||
with gr.Column(variant='panel'):
|
||||
@@ -1650,7 +1642,6 @@ Requested path was: {f}
|
||||
(img2img_interface, "img2img", "img2img"),
|
||||
(extras_interface, "Extras", "extras"),
|
||||
(pnginfo_interface, "PNG Info", "pnginfo"),
|
||||
(images_history, "Image Browser", "images_history"),
|
||||
(modelmerger_interface, "Checkpoint Merger", "modelmerger"),
|
||||
(train_interface, "Train", "ti"),
|
||||
]
|
||||
@@ -1894,6 +1885,7 @@ def load_javascript(raw_response):
|
||||
javascript = f'<script>{jsfile.read()}</script>'
|
||||
|
||||
scripts_list = modules.scripts.list_scripts("javascript", ".js")
|
||||
|
||||
for basedir, filename, path in scripts_list:
|
||||
with open(path, "r", encoding="utf8") as jsfile:
|
||||
javascript += f"\n<!-- {filename} --><script>{jsfile.read()}</script>"
|
||||
|
Reference in New Issue
Block a user