Commit 110485d5 authored by Kohaku-Blueleaf's avatar Kohaku-Blueleaf

Merge branch 'dev' into test-fp8

parents 3d341ebc 0bb6e00b
......@@ -64,11 +64,14 @@ class ExtraOptionsSection(scripts.Script):
p.override_settings[name] = value
shared.options_templates.update(shared.options_section(('ui', "User interface"), {
"extra_options_txt2img": shared.OptionInfo([], "Options in main UI - txt2img", ui_components.DropdownMulti, lambda: {"choices": list(shared.opts.data_labels.keys())}).js("info", "settingsHintsShowQuicksettings").info("setting entries that also appear in txt2img interfaces").needs_reload_ui(),
"extra_options_img2img": shared.OptionInfo([], "Options in main UI - img2img", ui_components.DropdownMulti, lambda: {"choices": list(shared.opts.data_labels.keys())}).js("info", "settingsHintsShowQuicksettings").info("setting entries that also appear in img2img interfaces").needs_reload_ui(),
"extra_options_cols": shared.OptionInfo(1, "Options in main UI - number of columns", gr.Number, {"precision": 0}).needs_reload_ui(),
"extra_options_accordion": shared.OptionInfo(False, "Options in main UI - place into an accordion").needs_reload_ui()
shared.options_templates.update(shared.options_section(('settings_in_ui', "Settings in UI", "ui"), {
"settings_in_ui": shared.OptionHTML("""
This page allows you to add some settings to the main interface of txt2img and img2img tabs.
"""),
"extra_options_txt2img": shared.OptionInfo([], "Settings for txt2img", ui_components.DropdownMulti, lambda: {"choices": list(shared.opts.data_labels.keys())}).js("info", "settingsHintsShowQuicksettings").info("setting entries that also appear in txt2img interfaces").needs_reload_ui(),
"extra_options_img2img": shared.OptionInfo([], "Settings for img2img", ui_components.DropdownMulti, lambda: {"choices": list(shared.opts.data_labels.keys())}).js("info", "settingsHintsShowQuicksettings").info("setting entries that also appear in img2img interfaces").needs_reload_ui(),
"extra_options_cols": shared.OptionInfo(1, "Number of columns for added settings", gr.Number, {"precision": 0}).needs_reload_ui(),
"extra_options_accordion": shared.OptionInfo(False, "Place added settings into an accordion").needs_reload_ui()
}))
......@@ -6,7 +6,6 @@ Original author: @tfernd Github: https://github.com/tfernd/HyperTile
from __future__ import annotations
import functools
from dataclasses import dataclass
from typing import Callable
......@@ -189,20 +188,27 @@ DEPTH_LAYERS_XL = {
RNG_INSTANCE = random.Random()
def random_divisor(value: int, min_value: int, /, max_options: int = 1) -> int:
@cache
def get_divisors(value: int, min_value: int, /, max_options: int = 1) -> list[int]:
"""
Returns a random divisor of value that
Returns divisors of value that
x * min_value <= value
if max_options is 1, the behavior is deterministic
in big -> small order, amount of divisors is limited by max_options
"""
max_options = max(1, max_options) # at least 1 option should be returned
min_value = min(min_value, value)
# All big divisors of value (inclusive)
divisors = [i for i in range(min_value, value + 1) if value % i == 0] # divisors in small -> big order
ns = [value // i for i in divisors[:max_options]] # has at least 1 element # big -> small order
return ns
def random_divisor(value: int, min_value: int, /, max_options: int = 1) -> int:
"""
Returns a random divisor of value that
x * min_value <= value
if max_options is 1, the behavior is deterministic
"""
ns = get_divisors(value, min_value, max_options=max_options) # get cached divisors
idx = RNG_INSTANCE.randint(0, len(ns) - 1)
return ns[idx]
......@@ -212,7 +218,7 @@ def set_hypertile_seed(seed: int) -> None:
RNG_INSTANCE.seed(seed)
@functools.cache
@cache
def largest_tile_size_available(width: int, height: int) -> int:
"""
Calculates the largest tile size available for a given width and height
......
import hypertile
from modules import scripts, script_callbacks, shared
from scripts.hypertile_xyz import add_axis_options
class ScriptHypertile(scripts.Script):
......@@ -17,7 +18,10 @@ class ScriptHypertile(scripts.Script):
configure_hypertile(p.width, p.height, enable_unet=shared.opts.hypertile_enable_unet)
def before_hr(self, p, *args):
configure_hypertile(p.hr_upscale_to_x, p.hr_upscale_to_y, enable_unet=shared.opts.hypertile_enable_unet_secondpass or shared.opts.hypertile_enable_unet)
# exclusive hypertile seed for the second pass
if not shared.opts.hypertile_enable_unet:
hypertile.set_hypertile_seed(p.all_seeds[0])
configure_hypertile(p.hr_upscale_to_x, p.hr_upscale_to_y, enable_unet=shared.opts.hypertile_enable_unet_secondpass)
def configure_hypertile(width, height, enable_unet=True):
......@@ -57,12 +61,12 @@ def on_ui_settings():
"hypertile_enable_unet_secondpass": shared.OptionInfo(False, "Enable Hypertile U-Net for hires fix second pass"),
"hypertile_max_depth_unet": shared.OptionInfo(3, "Hypertile U-Net max depth", gr.Slider, {"minimum": 0, "maximum": 3, "step": 1}),
"hypertile_max_tile_unet": shared.OptionInfo(256, "Hypertile U-net max tile size", gr.Slider, {"minimum": 0, "maximum": 512, "step": 16}),
"hypertile_swap_size_unet": shared.OptionInfo(3, "Hypertile U-net swap size", gr.Slider, {"minimum": 0, "maximum": 6, "step": 1}),
"hypertile_swap_size_unet": shared.OptionInfo(3, "Hypertile U-net swap size", gr.Slider, {"minimum": 0, "maximum": 64, "step": 1}),
"hypertile_enable_vae": shared.OptionInfo(False, "Enable Hypertile VAE").info("minimal change in the generated picture"),
"hypertile_max_depth_vae": shared.OptionInfo(3, "Hypertile VAE max depth", gr.Slider, {"minimum": 0, "maximum": 3, "step": 1}),
"hypertile_max_tile_vae": shared.OptionInfo(128, "Hypertile VAE max tile size", gr.Slider, {"minimum": 0, "maximum": 512, "step": 16}),
"hypertile_swap_size_vae": shared.OptionInfo(3, "Hypertile VAE swap size ", gr.Slider, {"minimum": 0, "maximum": 6, "step": 1}),
"hypertile_swap_size_vae": shared.OptionInfo(3, "Hypertile VAE swap size ", gr.Slider, {"minimum": 0, "maximum": 64, "step": 1}),
}
for name, opt in options.items():
......@@ -71,3 +75,4 @@ def on_ui_settings():
script_callbacks.on_ui_settings(on_ui_settings)
script_callbacks.on_before_ui(add_axis_options)
from modules import scripts
from modules.shared import opts
xyz_grid = [x for x in scripts.scripts_data if x.script_class.__module__ == "xyz_grid.py"][0].module
def int_applier(value_name:str, min_range:int = -1, max_range:int = -1):
"""
Returns a function that applies the given value to the given value_name in opts.data.
"""
def validate(value_name:str, value:str):
value = int(value)
# validate value
if not min_range == -1:
assert value >= min_range, f"Value {value} for {value_name} must be greater than or equal to {min_range}"
if not max_range == -1:
assert value <= max_range, f"Value {value} for {value_name} must be less than or equal to {max_range}"
def apply_int(p, x, xs):
validate(value_name, x)
opts.data[value_name] = int(x)
return apply_int
def bool_applier(value_name:str):
"""
Returns a function that applies the given value to the given value_name in opts.data.
"""
def validate(value_name:str, value:str):
assert value.lower() in ["true", "false"], f"Value {value} for {value_name} must be either true or false"
def apply_bool(p, x, xs):
validate(value_name, x)
value_boolean = x.lower() == "true"
opts.data[value_name] = value_boolean
return apply_bool
def add_axis_options():
extra_axis_options = [
xyz_grid.AxisOption("[Hypertile] Unet First pass Enabled", str, bool_applier("hypertile_enable_unet"), choices=xyz_grid.boolean_choice(reverse=True)),
xyz_grid.AxisOption("[Hypertile] Unet Second pass Enabled", str, bool_applier("hypertile_enable_unet_secondpass"), choices=xyz_grid.boolean_choice(reverse=True)),
xyz_grid.AxisOption("[Hypertile] Unet Max Depth", int, int_applier("hypertile_max_depth_unet", 0, 3), choices=lambda: [str(x) for x in range(4)]),
xyz_grid.AxisOption("[Hypertile] Unet Max Tile Size", int, int_applier("hypertile_max_tile_unet", 0, 512)),
xyz_grid.AxisOption("[Hypertile] Unet Swap Size", int, int_applier("hypertile_swap_size_unet", 0, 64)),
xyz_grid.AxisOption("[Hypertile] VAE Enabled", str, bool_applier("hypertile_enable_vae"), choices=xyz_grid.boolean_choice(reverse=True)),
xyz_grid.AxisOption("[Hypertile] VAE Max Depth", int, int_applier("hypertile_max_depth_vae", 0, 3), choices=lambda: [str(x) for x in range(4)]),
xyz_grid.AxisOption("[Hypertile] VAE Max Tile Size", int, int_applier("hypertile_max_tile_vae", 0, 512)),
xyz_grid.AxisOption("[Hypertile] VAE Swap Size", int, int_applier("hypertile_swap_size_vae", 0, 64)),
]
set_a = {opt.label for opt in xyz_grid.axis_options}
set_b = {opt.label for opt in extra_axis_options}
if set_a.intersection(set_b):
return
xyz_grid.axis_options.extend(extra_axis_options)
......@@ -130,6 +130,10 @@ function extraNetworksMovePromptToTab(tabname, id, showPrompt, showNegativePromp
} else {
promptContainer.insertBefore(prompt, promptContainer.firstChild);
}
if (elem) {
elem.classList.toggle('extra-page-prompts-active', showNegativePrompt || showPrompt);
}
}
......@@ -388,3 +392,9 @@ function extraNetworksRefreshSingleCard(page, tabname, name) {
}
});
}
window.addEventListener("keydown", function(event) {
if (event.key == "Escape") {
closePopup();
}
});
......@@ -44,3 +44,28 @@ onUiLoaded(function() {
buttonShowAllPages.addEventListener("click", settingsShowAllTabs);
});
onOptionsChanged(function() {
if (gradioApp().querySelector('#settings .settings-category')) return;
var sectionMap = {};
gradioApp().querySelectorAll('#settings > div > button').forEach(function(x) {
sectionMap[x.textContent.trim()] = x;
});
opts._categories.forEach(function(x) {
var section = x[0];
var category = x[1];
var span = document.createElement('SPAN');
span.textContent = category;
span.className = 'settings-category';
var sectionElem = sectionMap[section];
if (!sectionElem) return;
sectionElem.parentElement.insertBefore(span, sectionElem);
});
});
......@@ -32,7 +32,7 @@ def dump_cache():
with cache_lock:
cache_filename_tmp = cache_filename + "-"
with open(cache_filename_tmp, "w", encoding="utf8") as file:
json.dump(cache_data, file, indent=4)
json.dump(cache_data, file, indent=4, ensure_ascii=False)
os.replace(cache_filename_tmp, cache_filename)
......
......@@ -55,7 +55,7 @@ def get_optimal_device():
def get_device_for(task):
if task in shared.cmd_opts.use_cpu:
if task in shared.cmd_opts.use_cpu or "all" in shared.cmd_opts.use_cpu:
return cpu
return get_optimal_device()
......
from __future__ import annotations
import base64
import io
import json
......@@ -15,9 +16,6 @@ re_imagesize = re.compile(r"^(\d+)x(\d+)$")
re_hypernet_hash = re.compile("\(([0-9a-f]+)\)$")
type_of_gr_update = type(gr.update())
paste_fields = {}
registered_param_bindings = []
class ParamBinding:
def __init__(self, paste_button, tabname, source_text_component=None, source_image_component=None, source_tabname=None, override_settings_component=None, paste_field_names=None):
......@@ -30,6 +28,10 @@ class ParamBinding:
self.paste_field_names = paste_field_names or []
paste_fields: dict[str, dict] = {}
registered_param_bindings: list[ParamBinding] = []
def reset():
paste_fields.clear()
registered_param_bindings.clear()
......@@ -113,7 +115,6 @@ def register_paste_params_button(binding: ParamBinding):
def connect_paste_params_buttons():
binding: ParamBinding
for binding in registered_param_bindings:
destination_image_component = paste_fields[binding.tabname]["init_img"]
fields = paste_fields[binding.tabname]["fields"]
......@@ -313,6 +314,9 @@ Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 965400086, Size: 512x512, Model
if "VAE Decoder" not in res:
res["VAE Decoder"] = "Full"
skip = set(shared.opts.infotext_skip_pasting)
res = {k: v for k, v in res.items() if k not in skip}
return res
......@@ -443,3 +447,4 @@ def connect_paste(button, paste_fields, input_comp, override_settings_component,
outputs=[],
show_progress=False,
)
......@@ -47,10 +47,20 @@ def Block_get_config(self):
def BlockContext_init(self, *args, **kwargs):
if scripts.scripts_current is not None:
scripts.scripts_current.before_component(self, **kwargs)
scripts.script_callbacks.before_component_callback(self, **kwargs)
res = original_BlockContext_init(self, *args, **kwargs)
add_classes_to_gradio_component(self)
scripts.script_callbacks.after_component_callback(self, **kwargs)
if scripts.scripts_current is not None:
scripts.scripts_current.after_component(self, **kwargs)
return res
......
import logging
import torch
from torch import Tensor
import platform
from modules.sd_hijack_utils import CondFunc
from packaging import version
......@@ -51,6 +52,17 @@ def cumsum_fix(input, cumsum_func, *args, **kwargs):
return cumsum_func(input, *args, **kwargs)
# MPS workaround for https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14046
def interpolate_with_fp32_fallback(orig_func, *args, **kwargs) -> Tensor:
try:
return orig_func(*args, **kwargs)
except RuntimeError as e:
if "not implemented for" in str(e) and "Half" in str(e):
input_tensor = args[0]
return orig_func(input_tensor.to(torch.float32), *args[1:], **kwargs).to(input_tensor.dtype)
else:
print(f"An unexpected RuntimeError occurred: {str(e)}")
if has_mps:
if platform.mac_ver()[0].startswith("13.2."):
# MPS workaround for https://github.com/pytorch/pytorch/issues/95188, thanks to danieldk (https://github.com/explosion/curated-transformers/pull/124)
......@@ -77,6 +89,9 @@ if has_mps:
# MPS workaround for https://github.com/pytorch/pytorch/issues/96113
CondFunc('torch.nn.functional.layer_norm', lambda orig_func, x, normalized_shape, weight, bias, eps, **kwargs: orig_func(x.float(), normalized_shape, weight.float() if weight is not None else None, bias.float() if bias is not None else bias, eps).to(x.dtype), lambda _, input, *args, **kwargs: len(args) == 4 and input.device.type == 'mps')
# MPS workaround for https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14046
CondFunc('torch.nn.functional.interpolate', interpolate_with_fp32_fallback, None)
# MPS workaround for https://github.com/pytorch/pytorch/issues/92311
if platform.processor() == 'i386':
for funcName in ['torch.argmax', 'torch.Tensor.argmax']:
......
import json
import sys
from dataclasses import dataclass
import gradio as gr
......@@ -8,13 +9,14 @@ from modules.shared_cmd_options import cmd_opts
class OptionInfo:
def __init__(self, default=None, label="", component=None, component_args=None, onchange=None, section=None, refresh=None, comment_before='', comment_after='', infotext=None, restrict_api=False):
def __init__(self, default=None, label="", component=None, component_args=None, onchange=None, section=None, refresh=None, comment_before='', comment_after='', infotext=None, restrict_api=False, category_id=None):
self.default = default
self.label = label
self.component = component
self.component_args = component_args
self.onchange = onchange
self.section = section
self.category_id = category_id
self.refresh = refresh
self.do_not_save = False
......@@ -63,7 +65,11 @@ class OptionHTML(OptionInfo):
def options_section(section_identifier, options_dict):
for v in options_dict.values():
v.section = section_identifier
if len(section_identifier) == 2:
v.section = section_identifier
elif len(section_identifier) == 3:
v.section = section_identifier[0:2]
v.category_id = section_identifier[2]
return options_dict
......@@ -158,7 +164,7 @@ class Options:
assert not cmd_opts.freeze_settings, "saving settings is disabled"
with open(filename, "w", encoding="utf8") as file:
json.dump(self.data, file, indent=4)
json.dump(self.data, file, indent=4, ensure_ascii=False)
def same_type(self, x, y):
if x is None or y is None:
......@@ -206,6 +212,17 @@ class Options:
d = {k: self.data.get(k, v.default) for k, v in self.data_labels.items()}
d["_comments_before"] = {k: v.comment_before for k, v in self.data_labels.items() if v.comment_before is not None}
d["_comments_after"] = {k: v.comment_after for k, v in self.data_labels.items() if v.comment_after is not None}
item_categories = {}
for item in self.data_labels.values():
category = categories.mapping.get(item.category_id)
category = "Uncategorized" if category is None else category.label
if category not in item_categories:
item_categories[category] = item.section[1]
# _categories is a list of pairs: [section, category]. Each section (a setting page) will get a special heading above it with the category as text.
d["_categories"] = [[v, k] for k, v in item_categories.items()] + [["Defaults", "Other"]]
return json.dumps(d)
def add_option(self, key, info):
......@@ -214,15 +231,40 @@ class Options:
self.data[key] = info.default
def reorder(self):
"""reorder settings so that all items related to section always go together"""
"""Reorder settings so that:
- all items related to section always go together
- all sections belonging to a category go together
- sections inside a category are ordered alphabetically
- categories are ordered by creation order
Category is a superset of sections: for category "postprocessing" there could be multiple sections: "face restoration", "upscaling".
This function also changes items' category_id so that all items belonging to a section have the same category_id.
"""
category_ids = {}
section_categories = {}
section_ids = {}
settings_items = self.data_labels.items()
for _, item in settings_items:
if item.section not in section_ids:
section_ids[item.section] = len(section_ids)
if item.section not in section_categories:
section_categories[item.section] = item.category_id
for _, item in settings_items:
item.category_id = section_categories.get(item.section)
for category_id in categories.mapping:
if category_id not in category_ids:
category_ids[category_id] = len(category_ids)
self.data_labels = dict(sorted(settings_items, key=lambda x: section_ids[x[1].section]))
def sort_key(x):
item: OptionInfo = x[1]
category_order = category_ids.get(item.category_id, len(category_ids))
section_order = item.section[1]
return category_order, section_order
self.data_labels = dict(sorted(settings_items, key=sort_key))
def cast_value(self, key, value):
"""casts an arbitrary to the same type as this setting's value with key
......@@ -245,3 +287,22 @@ class Options:
value = expected_type(value)
return value
@dataclass
class OptionsCategory:
id: str
label: str
class OptionsCategories:
def __init__(self):
self.mapping = {}
def register_category(self, category_id, label):
if category_id in self.mapping:
return category_id
self.mapping[category_id] = OptionsCategory(category_id, label)
categories = OptionsCategories()
......@@ -679,8 +679,8 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iter
"Size": f"{p.width}x{p.height}",
"Model hash": p.sd_model_hash if opts.add_model_hash_to_info else None,
"Model": p.sd_model_name if opts.add_model_name_to_info else None,
"VAE hash": p.sd_vae_hash if opts.add_model_hash_to_info else None,
"VAE": p.sd_vae_name if opts.add_model_name_to_info else None,
"VAE hash": p.sd_vae_hash if opts.add_vae_hash_to_info else None,
"VAE": p.sd_vae_name if opts.add_vae_name_to_info else None,
"Variation seed": (None if p.subseed_strength == 0 else (p.all_subseeds[0] if use_main_prompt else all_subseeds[index])),
"Variation seed strength": (None if p.subseed_strength == 0 else p.subseed_strength),
"Seed resize from": (None if p.seed_resize_from_w <= 0 or p.seed_resize_from_h <= 0 else f"{p.seed_resize_from_w}x{p.seed_resize_from_h}"),
......
......@@ -560,17 +560,25 @@ class ScriptRunner:
on_after.clear()
def create_script_ui(self, script):
import modules.api.models as api_models
script.args_from = len(self.inputs)
script.args_to = len(self.inputs)
try:
self.create_script_ui_inner(script)
except Exception:
errors.report(f"Error creating UI for {script.name}: ", exc_info=True)
def create_script_ui_inner(self, script):
import modules.api.models as api_models
controls = wrap_call(script.ui, script.filename, "ui", script.is_img2img)
if controls is None:
return
script.name = wrap_call(script.title, script.filename, "title", default=script.filename).lower()
api_args = []
for control in controls:
......
......@@ -38,9 +38,6 @@ ldm.models.diffusion.ddpm.print = shared.ldm_print
optimizers = []
current_optimizer: sd_hijack_optimizations.SdOptimization = None
ldm_original_forward = patches.patch(__file__, ldm.modules.diffusionmodules.openaimodel.UNetModel, "forward", sd_unet.UNetModel_forward)
sgm_original_forward = patches.patch(__file__, sgm.modules.diffusionmodules.openaimodel.UNetModel, "forward", sd_unet.UNetModel_forward)
def list_optimizers():
new_optimizers = script_callbacks.list_optimizers_callback()
......@@ -258,6 +255,9 @@ class StableDiffusionModelHijack:
import modules.models.diffusion.ddpm_edit
ldm_original_forward = patches.patch(__file__, ldm.modules.diffusionmodules.openaimodel.UNetModel, "forward", sd_unet.UNetModel_forward)
sgm_original_forward = patches.patch(__file__, sgm.modules.diffusionmodules.openaimodel.UNetModel, "forward", sd_unet.UNetModel_forward)
if isinstance(m, ldm.models.diffusion.ddpm.LatentDiffusion):
sd_unet.original_forward = ldm_original_forward
elif isinstance(m, modules.models.diffusion.ddpm_edit.LatentDiffusion):
......@@ -303,6 +303,9 @@ class StableDiffusionModelHijack:
self.layers = None
self.clip = None
patches.undo(__file__, ldm.modules.diffusionmodules.openaimodel.UNetModel, "forward")
patches.undo(__file__, sgm.modules.diffusionmodules.openaimodel.UNetModel, "forward")
sd_unet.original_forward = None
......
......@@ -230,15 +230,19 @@ def select_checkpoint():
return checkpoint_info
checkpoint_dict_replacements = {
checkpoint_dict_replacements_sd1 = {
'cond_stage_model.transformer.embeddings.': 'cond_stage_model.transformer.text_model.embeddings.',
'cond_stage_model.transformer.encoder.': 'cond_stage_model.transformer.text_model.encoder.',
'cond_stage_model.transformer.final_layer_norm.': 'cond_stage_model.transformer.text_model.final_layer_norm.',
}
checkpoint_dict_replacements_sd2_turbo = { # Converts SD 2.1 Turbo from SGM to LDM format.
'conditioner.embedders.0.': 'cond_stage_model.',
}
def transform_checkpoint_dict_key(k):
for text, replacement in checkpoint_dict_replacements.items():
def transform_checkpoint_dict_key(k, replacements):
for text, replacement in replacements.items():
if k.startswith(text):
k = replacement + k[len(text):]
......@@ -249,9 +253,14 @@ def get_state_dict_from_checkpoint(pl_sd):
pl_sd = pl_sd.pop("state_dict", pl_sd)
pl_sd.pop("state_dict", None)
is_sd2_turbo = 'conditioner.embedders.0.model.ln_final.weight' in pl_sd and pl_sd['conditioner.embedders.0.model.ln_final.weight'].size()[0] == 1024
sd = {}
for k, v in pl_sd.items():
new_key = transform_checkpoint_dict_key(k)
if is_sd2_turbo:
new_key = transform_checkpoint_dict_key(k, checkpoint_dict_replacements_sd2_turbo)
else:
new_key = transform_checkpoint_dict_key(k, checkpoint_dict_replacements_sd1)
if new_key is not None:
sd[new_key] = v
......
......@@ -66,6 +66,22 @@ def reload_hypernetworks():
shared.hypernetworks = hypernetwork.list_hypernetworks(cmd_opts.hypernetwork_dir)
def get_infotext_names():
from modules import generation_parameters_copypaste, shared
res = {}
for info in shared.opts.data_labels.values():
if info.infotext:
res[info.infotext] = 1
for tab_data in generation_parameters_copypaste.paste_fields.values():
for _, name in tab_data.get("fields") or []:
if isinstance(name, str):
res[name] = 1
return list(res)
ui_reorder_categories_builtin_items = [
"prompt",
"image",
......
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......@@ -3,7 +3,7 @@ from PIL import Image, ImageOps
import math
import tqdm
from modules import paths, shared, images, deepbooru
from modules import shared, images, deepbooru
from modules.textual_inversion import autocrop
......@@ -196,7 +196,7 @@ def preprocess_work(process_src, process_dst, process_width, process_height, pre
dnn_model_path = None
try:
dnn_model_path = autocrop.download_and_cache_models(os.path.join(paths.models_path, "opencv"))
dnn_model_path = autocrop.download_and_cache_models()
except Exception as e:
print("Unable to load face detection model for auto crop selection. Falling back to lower quality haar method.", e)
......
......@@ -65,7 +65,7 @@ def save_config_state(name):
filename = os.path.join(config_states_dir, f"{timestamp}_{name}.json")
print(f"Saving backup of webui/extension state to {filename}.")
with open(filename, "w", encoding="utf-8") as f:
json.dump(current_config_state, f, indent=4)
json.dump(current_config_state, f, indent=4, ensure_ascii=False)
config_states.list_config_states()
new_value = next(iter(config_states.all_config_states.keys()), "Current")
new_choices = ["Current"] + list(config_states.all_config_states.keys())
......@@ -335,6 +335,11 @@ def normalize_git_url(url):
return url
def get_extension_dirname_from_url(url):
*parts, last_part = url.split('/')
return normalize_git_url(last_part)
def install_extension_from_url(dirname, url, branch_name=None):
check_access()
......@@ -346,10 +351,7 @@ def install_extension_from_url(dirname, url, branch_name=None):
assert url, 'No URL specified'
if dirname is None or dirname == "":
*parts, last_part = url.split('/')
last_part = normalize_git_url(last_part)
dirname = last_part
dirname = get_extension_dirname_from_url(url)
target_dir = os.path.join(extensions.extensions_dir, dirname)
assert not os.path.exists(target_dir), f'Extension directory already exists: {target_dir}'
......@@ -449,7 +451,8 @@ def get_date(info: dict, key):
def refresh_available_extensions_from_data(hide_tags, sort_column, filter_text=""):
extlist = available_extensions["extensions"]
installed_extension_urls = {normalize_git_url(extension.remote): extension.name for extension in extensions.extensions}
installed_extensions = {extension.name for extension in extensions.extensions}
installed_extension_urls = {normalize_git_url(extension.remote) for extension in extensions.extensions if extension.remote is not None}
tags = available_extensions.get("tags", {})
tags_to_hide = set(hide_tags)
......@@ -482,7 +485,7 @@ def refresh_available_extensions_from_data(hide_tags, sort_column, filter_text="
if url is None:
continue
existing = installed_extension_urls.get(normalize_git_url(url), None)
existing = get_extension_dirname_from_url(url) in installed_extensions or normalize_git_url(url) in installed_extension_urls
extension_tags = extension_tags + ["installed"] if existing else extension_tags
if any(x for x in extension_tags if x in tags_to_hide):
......
......@@ -151,8 +151,13 @@ class ExtraNetworksPage:
continue
subdir = os.path.abspath(x)[len(parentdir):].replace("\\", "/")
while subdir.startswith("/"):
subdir = subdir[1:]
if shared.opts.extra_networks_dir_button_function:
if not subdir.startswith("/"):
subdir = "/" + subdir
else:
while subdir.startswith("/"):
subdir = subdir[1:]
is_empty = len(os.listdir(x)) == 0
if not is_empty and not subdir.endswith("/"):
......@@ -370,6 +375,9 @@ def create_ui(interface: gr.Blocks, unrelated_tabs, tabname):
for page in ui.stored_extra_pages:
with gr.Tab(page.title, elem_id=f"{tabname}_{page.id_page}", elem_classes=["extra-page"]) as tab:
with gr.Column(elem_id=f"{tabname}_{page.id_page}_prompts", elem_classes=["extra-page-prompts"]):
pass
elem_id = f"{tabname}_{page.id_page}_cards_html"
page_elem = gr.HTML('Loading...', elem_id=elem_id)
ui.pages.append(page_elem)
......@@ -400,7 +408,7 @@ def create_ui(interface: gr.Blocks, unrelated_tabs, tabname):
allow_prompt = "true" if page.allow_prompt else "false"
allow_negative_prompt = "true" if page.allow_negative_prompt else "false"
jscode = 'extraNetworksTabSelected("' + tabname + '", "' + f"{tabname}_{page.id_page}" + '", ' + allow_prompt + ', ' + allow_negative_prompt + ');'
jscode = 'extraNetworksTabSelected("' + tabname + '", "' + f"{tabname}_{page.id_page}_prompts" + '", ' + allow_prompt + ', ' + allow_negative_prompt + ');'
tab.select(fn=lambda: [gr.update(visible=True) for _ in tab_controls], _js='function(){ ' + jscode + ' }', inputs=[], outputs=tab_controls, show_progress=False)
......
......@@ -134,7 +134,7 @@ class UserMetadataEditor:
basename, ext = os.path.splitext(filename)
with open(basename + '.json', "w", encoding="utf8") as file:
json.dump(metadata, file, indent=4)
json.dump(metadata, file, indent=4, ensure_ascii=False)
def save_user_metadata(self, name, desc, notes):
user_metadata = self.get_user_metadata(name)
......
......@@ -141,7 +141,7 @@ class UiLoadsave:
def write_to_file(self, current_ui_settings):
with open(self.filename, "w", encoding="utf8") as file:
json.dump(current_ui_settings, file, indent=4)
json.dump(current_ui_settings, file, indent=4, ensure_ascii=False)
def dump_defaults(self):
"""saves default values to a file unless tjhe file is present and there was an error loading default values at start"""
......
......@@ -462,6 +462,15 @@ div.toprow-compact-tools{
padding: 4px;
}
#settings > div.tab-nav .settings-category{
display: block;
margin: 1em 0 0.25em 0;
font-weight: bold;
text-decoration: underline;
cursor: default;
user-select: none;
}
#settings_result{
height: 1.4em;
margin: 0 1.2em;
......@@ -637,6 +646,8 @@ table.popup-table .link{
margin: auto;
padding: 2em;
z-index: 1001;
max-height: 90%;
max-width: 90%;
}
/* fullpage image viewer */
......@@ -840,8 +851,16 @@ footer {
/* extra networks UI */
.extra-page .prompt{
margin: 0 0 0.5em 0;
.extra-page > div.gap{
gap: 0;
}
.extra-page-prompts{
margin-bottom: 0;
}
.extra-page-prompts.extra-page-prompts-active{
margin-bottom: 1em;
}
.extra-network-cards{
......
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