cleanup: remove unused scripts, cruft

App runs & tests pass.
This commit is contained in:
psychedelicious
2024-03-19 16:54:04 +11:00
parent 6c558279dd
commit b378cfcb46
38 changed files with 23 additions and 5601 deletions

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"""
Wrapper for invokeai.backend.configure.invokeai_configure
"""
import argparse
def run_configure() -> None:
# Before doing _anything_, parse CLI args!
from invokeai.frontend.cli.arg_parser import InvokeAIArgs
parser = argparse.ArgumentParser(description="InvokeAI model downloader")
parser.add_argument(
"--skip-sd-weights",
dest="skip_sd_weights",
action=argparse.BooleanOptionalAction,
default=False,
help="skip downloading the large Stable Diffusion weight files",
)
parser.add_argument(
"--skip-support-models",
dest="skip_support_models",
action=argparse.BooleanOptionalAction,
default=False,
help="skip downloading the support models",
)
parser.add_argument(
"--full-precision",
dest="full_precision",
action=argparse.BooleanOptionalAction,
type=bool,
default=False,
help="use 32-bit weights instead of faster 16-bit weights",
)
parser.add_argument(
"--yes",
"-y",
dest="yes_to_all",
action="store_true",
help='answer "yes" to all prompts',
)
parser.add_argument(
"--default_only",
action="store_true",
help="when --yes specified, only install the default model",
)
parser.add_argument(
"--root_dir",
dest="root",
type=str,
default=None,
help="path to root of install directory",
)
opt = parser.parse_args()
InvokeAIArgs.args = opt
from invokeai.backend.install.invokeai_configure import main as invokeai_configure
invokeai_configure(opt)

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#!/usr/bin/env python
# Copyright (c) 2022 Lincoln D. Stein (https://github.com/lstein)
# Before running stable-diffusion on an internet-isolated machine,
# run this script from one with internet connectivity. The
# two machines must share a common .cache directory.
"""
This is the npyscreen frontend to the model installation application.
It is currently named model_install2.py, but will ultimately replace model_install.py.
"""
import argparse
import curses
import pathlib
import sys
import traceback
import warnings
from argparse import Namespace
from shutil import get_terminal_size
from typing import Any, Dict, List, Optional, Set
import npyscreen
import torch
from npyscreen import widget
from invokeai.app.services.config.config_default import get_config
from invokeai.app.services.model_install import ModelInstallServiceBase
from invokeai.backend.install.check_directories import validate_directories
from invokeai.backend.install.install_helper import InstallHelper, InstallSelections, UnifiedModelInfo
from invokeai.backend.model_manager import ModelType
from invokeai.backend.util import choose_precision, choose_torch_device
from invokeai.backend.util.logging import InvokeAILogger
from invokeai.frontend.install.widgets import (
MIN_COLS,
MIN_LINES,
CenteredTitleText,
CyclingForm,
MultiSelectColumns,
SingleSelectColumns,
TextBox,
WindowTooSmallException,
set_min_terminal_size,
)
warnings.filterwarnings("ignore", category=UserWarning) # noqa: E402
config = get_config()
logger = InvokeAILogger.get_logger("ModelInstallService", config=config)
# logger.setLevel("WARNING")
# logger.setLevel('DEBUG')
# build a table mapping all non-printable characters to None
# for stripping control characters
# from https://stackoverflow.com/questions/92438/stripping-non-printable-characters-from-a-string-in-python
NOPRINT_TRANS_TABLE = {i: None for i in range(0, sys.maxunicode + 1) if not chr(i).isprintable()}
# maximum number of installed models we can display before overflowing vertically
MAX_OTHER_MODELS = 72
def make_printable(s: str) -> str:
"""Replace non-printable characters in a string."""
return s.translate(NOPRINT_TRANS_TABLE)
class addModelsForm(CyclingForm, npyscreen.FormMultiPage):
"""Main form for interactive TUI."""
# for responsive resizing set to False, but this seems to cause a crash!
FIX_MINIMUM_SIZE_WHEN_CREATED = True
# for persistence
current_tab = 0
def __init__(self, parentApp: npyscreen.NPSAppManaged, name: str, multipage: bool = False, **keywords: Any):
self.multipage = multipage
self.subprocess = None
super().__init__(parentApp=parentApp, name=name, **keywords)
def create(self) -> None:
self.installer = self.parentApp.install_helper.installer
self.model_labels = self._get_model_labels()
self.keypress_timeout = 10
self.counter = 0
self.subprocess_connection = None
window_width, window_height = get_terminal_size()
# npyscreen has no typing hints
self.nextrely -= 1 # type: ignore
self.add_widget_intelligent(
npyscreen.FixedText,
value="Use ctrl-N and ctrl-P to move to the <N>ext and <P>revious fields. Cursor keys navigate, and <space> selects.",
editable=False,
color="CAUTION",
)
self.nextrely += 1 # type: ignore
self.tabs = self.add_widget_intelligent(
SingleSelectColumns,
values=[
"STARTERS",
"MAINS",
"CONTROLNETS",
"T2I-ADAPTERS",
"IP-ADAPTERS",
"LORAS",
"TI EMBEDDINGS",
],
value=[self.current_tab],
columns=7,
max_height=2,
relx=8,
scroll_exit=True,
)
self.tabs.on_changed = self._toggle_tables
top_of_table = self.nextrely # type: ignore
self.starter_pipelines = self.add_starter_pipelines()
bottom_of_table = self.nextrely # type: ignore
self.nextrely = top_of_table
self.pipeline_models = self.add_pipeline_widgets(
model_type=ModelType.Main, window_width=window_width, exclude=self.starter_models
)
# self.pipeline_models['autoload_pending'] = True
bottom_of_table = max(bottom_of_table, self.nextrely)
self.nextrely = top_of_table
self.controlnet_models = self.add_model_widgets(
model_type=ModelType.ControlNet,
window_width=window_width,
)
bottom_of_table = max(bottom_of_table, self.nextrely)
self.nextrely = top_of_table
self.t2i_models = self.add_model_widgets(
model_type=ModelType.T2IAdapter,
window_width=window_width,
)
bottom_of_table = max(bottom_of_table, self.nextrely)
self.nextrely = top_of_table
self.ipadapter_models = self.add_model_widgets(
model_type=ModelType.IPAdapter,
window_width=window_width,
)
bottom_of_table = max(bottom_of_table, self.nextrely)
self.nextrely = top_of_table
self.lora_models = self.add_model_widgets(
model_type=ModelType.LoRA,
window_width=window_width,
)
bottom_of_table = max(bottom_of_table, self.nextrely)
self.nextrely = top_of_table
self.ti_models = self.add_model_widgets(
model_type=ModelType.TextualInversion,
window_width=window_width,
)
bottom_of_table = max(bottom_of_table, self.nextrely)
self.nextrely = bottom_of_table + 1
self.nextrely += 1
back_label = "BACK"
cancel_label = "CANCEL"
current_position = self.nextrely
if self.multipage:
self.back_button = self.add_widget_intelligent(
npyscreen.ButtonPress,
name=back_label,
when_pressed_function=self.on_back,
)
else:
self.nextrely = current_position
self.cancel_button = self.add_widget_intelligent(
npyscreen.ButtonPress, name=cancel_label, when_pressed_function=self.on_cancel
)
self.nextrely = current_position
label = "APPLY CHANGES"
self.nextrely = current_position
self.done = self.add_widget_intelligent(
npyscreen.ButtonPress,
name=label,
relx=window_width - len(label) - 15,
when_pressed_function=self.on_done,
)
# This restores the selected page on return from an installation
for _i in range(1, self.current_tab + 1):
self.tabs.h_cursor_line_down(1)
self._toggle_tables([self.current_tab])
############# diffusers tab ##########
def add_starter_pipelines(self) -> dict[str, npyscreen.widget]:
"""Add widgets responsible for selecting diffusers models"""
widgets: Dict[str, npyscreen.widget] = {}
all_models = self.all_models # master dict of all models, indexed by key
model_list = [x for x in self.starter_models if all_models[x].type in ["main", "vae"]]
model_labels = [self.model_labels[x] for x in model_list]
widgets.update(
label1=self.add_widget_intelligent(
CenteredTitleText,
name="Select from a starter set of Stable Diffusion models from HuggingFace and Civitae.",
editable=False,
labelColor="CAUTION",
)
)
self.nextrely -= 1
# if user has already installed some initial models, then don't patronize them
# by showing more recommendations
show_recommended = len(self.installed_models) == 0
checked = [
model_list.index(x)
for x in model_list
if (show_recommended and all_models[x].recommended) or all_models[x].installed
]
widgets.update(
models_selected=self.add_widget_intelligent(
MultiSelectColumns,
columns=1,
name="Install Starter Models",
values=model_labels,
value=checked,
max_height=len(model_list) + 1,
relx=4,
scroll_exit=True,
),
models=model_list,
)
self.nextrely += 1
return widgets
############# Add a set of model install widgets ########
def add_model_widgets(
self,
model_type: ModelType,
window_width: int = 120,
install_prompt: Optional[str] = None,
exclude: Optional[Set[str]] = None,
) -> dict[str, npyscreen.widget]:
"""Generic code to create model selection widgets"""
if exclude is None:
exclude = set()
widgets: Dict[str, npyscreen.widget] = {}
all_models = self.all_models
model_list = sorted(
[x for x in all_models if all_models[x].type == model_type and x not in exclude],
key=lambda x: all_models[x].name or "",
)
model_labels = [self.model_labels[x] for x in model_list]
show_recommended = len(self.installed_models) == 0
truncated = False
if len(model_list) > 0:
max_width = max([len(x) for x in model_labels])
columns = window_width // (max_width + 8) # 8 characters for "[x] " and padding
columns = min(len(model_list), columns) or 1
prompt = (
install_prompt
or f"Select the desired {model_type.value.title()} models to install. Unchecked models will be purged from disk."
)
widgets.update(
label1=self.add_widget_intelligent(
CenteredTitleText,
name=prompt,
editable=False,
labelColor="CAUTION",
)
)
if len(model_labels) > MAX_OTHER_MODELS:
model_labels = model_labels[0:MAX_OTHER_MODELS]
truncated = True
widgets.update(
models_selected=self.add_widget_intelligent(
MultiSelectColumns,
columns=columns,
name=f"Install {model_type} Models",
values=model_labels,
value=[
model_list.index(x)
for x in model_list
if (show_recommended and all_models[x].recommended) or all_models[x].installed
],
max_height=len(model_list) // columns + 1,
relx=4,
scroll_exit=True,
),
models=model_list,
)
if truncated:
widgets.update(
warning_message=self.add_widget_intelligent(
npyscreen.FixedText,
value=f"Too many models to display (max={MAX_OTHER_MODELS}). Some are not displayed.",
editable=False,
color="CAUTION",
)
)
self.nextrely += 1
widgets.update(
download_ids=self.add_widget_intelligent(
TextBox,
name="Additional URLs, or HuggingFace repo_ids to install (Space separated. Use shift-control-V to paste):",
max_height=6,
scroll_exit=True,
editable=True,
)
)
return widgets
### Tab for arbitrary diffusers widgets ###
def add_pipeline_widgets(
self,
model_type: ModelType = ModelType.Main,
window_width: int = 120,
**kwargs,
) -> dict[str, npyscreen.widget]:
"""Similar to add_model_widgets() but adds some additional widgets at the bottom
to support the autoload directory"""
widgets = self.add_model_widgets(
model_type=model_type,
window_width=window_width,
install_prompt=f"Installed {model_type.value.title()} models. Unchecked models in the InvokeAI root directory will be deleted. Enter URLs, paths or repo_ids to import.",
**kwargs,
)
return widgets
def resize(self) -> None:
super().resize()
if s := self.starter_pipelines.get("models_selected"):
if model_list := self.starter_pipelines.get("models"):
s.values = [self.model_labels[x] for x in model_list]
def _toggle_tables(self, value: List[int]) -> None:
selected_tab = value[0]
widgets = [
self.starter_pipelines,
self.pipeline_models,
self.controlnet_models,
self.t2i_models,
self.ipadapter_models,
self.lora_models,
self.ti_models,
]
for group in widgets:
for _k, v in group.items():
try:
v.hidden = True
v.editable = False
except Exception:
pass
for _k, v in widgets[selected_tab].items():
try:
v.hidden = False
if not isinstance(v, (npyscreen.FixedText, npyscreen.TitleFixedText, CenteredTitleText)):
v.editable = True
except Exception:
pass
self.__class__.current_tab = selected_tab # for persistence
self.display()
def _get_model_labels(self) -> dict[str, str]:
"""Return a list of trimmed labels for all models."""
window_width, window_height = get_terminal_size()
checkbox_width = 4
spacing_width = 2
result = {}
models = self.all_models
label_width = max([len(models[x].name or "") for x in self.starter_models])
description_width = window_width - label_width - checkbox_width - spacing_width
for key in self.all_models:
description = models[key].description
description = (
description[0 : description_width - 3] + "..."
if description and len(description) > description_width
else description
if description
else ""
)
result[key] = f"%-{label_width}s %s" % (models[key].name, description)
return result
def _get_columns(self) -> int:
window_width, window_height = get_terminal_size()
cols = 4 if window_width > 240 else 3 if window_width > 160 else 2 if window_width > 80 else 1
return min(cols, len(self.installed_models))
def confirm_deletions(self, selections: InstallSelections) -> bool:
remove_models = selections.remove_models
if remove_models:
model_names = [self.all_models[x].name or "" for x in remove_models]
mods = "\n".join(model_names)
is_ok = npyscreen.notify_ok_cancel(
f"These unchecked models will be deleted from disk. Continue?\n---------\n{mods}"
)
assert isinstance(is_ok, bool) # npyscreen doesn't have return type annotations
return is_ok
else:
return True
@property
def all_models(self) -> Dict[str, UnifiedModelInfo]:
# npyscreen doesn't having typing hints
return self.parentApp.install_helper.all_models # type: ignore
@property
def starter_models(self) -> List[str]:
return self.parentApp.install_helper._starter_models # type: ignore
@property
def installed_models(self) -> List[str]:
return self.parentApp.install_helper._installed_models # type: ignore
def on_back(self) -> None:
self.parentApp.switchFormPrevious()
self.editing = False
def on_cancel(self) -> None:
self.parentApp.setNextForm(None)
self.parentApp.user_cancelled = True
self.editing = False
def on_done(self) -> None:
self.marshall_arguments()
if not self.confirm_deletions(self.parentApp.install_selections):
return
self.parentApp.setNextForm(None)
self.parentApp.user_cancelled = False
self.editing = False
def marshall_arguments(self) -> None:
"""
Assemble arguments and store as attributes of the application:
.starter_models: dict of model names to install from INITIAL_CONFIGURE.yaml
True => Install
False => Remove
.scan_directory: Path to a directory of models to scan and import
.autoscan_on_startup: True if invokeai should scan and import at startup time
.import_model_paths: list of URLs, repo_ids and file paths to import
"""
selections = self.parentApp.install_selections
all_models = self.all_models
# Defined models (in INITIAL_CONFIG.yaml or invokeai.db) to add/remove
ui_sections = [
self.starter_pipelines,
self.pipeline_models,
self.controlnet_models,
self.t2i_models,
self.ipadapter_models,
self.lora_models,
self.ti_models,
]
for section in ui_sections:
if "models_selected" not in section:
continue
selected = {section["models"][x] for x in section["models_selected"].value}
models_to_install = [x for x in selected if not self.all_models[x].installed]
models_to_remove = [x for x in section["models"] if x not in selected and self.all_models[x].installed]
selections.remove_models.extend(models_to_remove)
selections.install_models.extend([all_models[x] for x in models_to_install])
# models located in the 'download_ids" section
for section in ui_sections:
if downloads := section.get("download_ids"):
models = [UnifiedModelInfo(source=x) for x in downloads.value.split()]
selections.install_models.extend(models)
class AddModelApplication(npyscreen.NPSAppManaged): # type: ignore
def __init__(self, opt: Namespace, install_helper: InstallHelper):
super().__init__()
self.program_opts = opt
self.user_cancelled = False
self.install_selections = InstallSelections()
self.install_helper = install_helper
def onStart(self) -> None:
npyscreen.setTheme(npyscreen.Themes.DefaultTheme)
self.main_form = self.addForm(
"MAIN",
addModelsForm,
name="Install Stable Diffusion Models",
cycle_widgets=False,
)
def list_models(installer: ModelInstallServiceBase, model_type: ModelType):
"""Print out all models of type model_type."""
models = installer.record_store.search_by_attr(model_type=model_type)
print(f"Installed models of type `{model_type}`:")
for model in models:
path = (config.models_path / model.path).resolve()
print(f"{model.name:40}{model.base.value:5}{model.type.value:8}{model.format.value:12}{path}")
# --------------------------------------------------------
def select_and_download_models(opt: Namespace) -> None:
"""Prompt user for install/delete selections and execute."""
precision = "float32" if opt.full_precision else choose_precision(torch.device(choose_torch_device()))
config.precision = precision
install_helper = InstallHelper(config, logger)
installer = install_helper.installer
if opt.list_models:
list_models(installer, opt.list_models)
elif opt.add or opt.delete:
selections = InstallSelections(
install_models=[UnifiedModelInfo(source=x) for x in (opt.add or [])], remove_models=opt.delete or []
)
install_helper.add_or_delete(selections)
elif opt.default_only:
default_model = install_helper.default_model()
assert default_model is not None
selections = InstallSelections(install_models=[default_model])
install_helper.add_or_delete(selections)
elif opt.yes_to_all:
selections = InstallSelections(install_models=install_helper.recommended_models())
install_helper.add_or_delete(selections)
# this is where the TUI is called
else:
if not set_min_terminal_size(MIN_COLS, MIN_LINES):
raise WindowTooSmallException(
"Could not increase terminal size. Try running again with a larger window or smaller font size."
)
installApp = AddModelApplication(opt, install_helper)
try:
installApp.run()
except KeyboardInterrupt:
print("Aborted...")
sys.exit(-1)
install_helper.add_or_delete(installApp.install_selections)
# -------------------------------------
def main() -> None:
parser = argparse.ArgumentParser(description="InvokeAI model downloader")
parser.add_argument(
"--add",
nargs="*",
help="List of URLs, local paths or repo_ids of models to install",
)
parser.add_argument(
"--delete",
nargs="*",
help="List of names of models to delete. Use type:name to disambiguate, as in `controlnet:my_model`",
)
parser.add_argument(
"--full-precision",
dest="full_precision",
action=argparse.BooleanOptionalAction,
type=bool,
default=False,
help="use 32-bit weights instead of faster 16-bit weights",
)
parser.add_argument(
"--yes",
"-y",
dest="yes_to_all",
action="store_true",
help='answer "yes" to all prompts',
)
parser.add_argument(
"--default_only",
action="store_true",
help="Only install the default model",
)
parser.add_argument(
"--list-models",
choices=[x.value for x in ModelType],
help="list installed models",
)
parser.add_argument(
"--root_dir",
dest="root",
type=pathlib.Path,
default=None,
help="path to root of install directory",
)
opt = parser.parse_args()
invoke_args: dict[str, Any] = {}
if opt.full_precision:
invoke_args["precision"] = "float32"
config.update_config(invoke_args)
if opt.root:
config.set_root(opt.root)
logger = InvokeAILogger().get_logger(config=config)
try:
validate_directories(config)
except AssertionError:
logger.info("Your InvokeAI root directory is not set up. Calling invokeai-configure.")
sys.argv = ["invokeai_configure", "--yes", "--skip-sd-weights"]
from invokeai.frontend.install.invokeai_configure import invokeai_configure
invokeai_configure()
sys.exit(0)
try:
select_and_download_models(opt)
except AssertionError as e:
logger.error(e)
sys.exit(-1)
except KeyboardInterrupt:
curses.nocbreak()
curses.echo()
curses.endwin()
logger.info("Goodbye! Come back soon.")
except WindowTooSmallException as e:
logger.error(str(e))
except widget.NotEnoughSpaceForWidget as e:
if str(e).startswith("Height of 1 allocated"):
logger.error("Insufficient vertical space for the interface. Please make your window taller and try again")
input("Press any key to continue...")
except Exception as e:
if str(e).startswith("addwstr"):
logger.error(
"Insufficient horizontal space for the interface. Please make your window wider and try again."
)
else:
print(f"An exception has occurred: {str(e)} Details:")
print(traceback.format_exc(), file=sys.stderr)
input("Press any key to continue...")
# -------------------------------------
if __name__ == "__main__":
main()

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"""
Widget class definitions used by model_select.py, merge_diffusers.py and textual_inversion.py
"""
import curses
import math
import os
import platform
import struct
import subprocess
import sys
import textwrap
from curses import BUTTON2_CLICKED, BUTTON3_CLICKED
from shutil import get_terminal_size
from typing import Optional
import npyscreen
import npyscreen.wgmultiline as wgmultiline
import pyperclip
from npyscreen import fmPopup
# minimum size for UIs
MIN_COLS = 150
MIN_LINES = 40
class WindowTooSmallException(Exception):
pass
# -------------------------------------
def set_terminal_size(columns: int, lines: int) -> bool:
OS = platform.uname().system
screen_ok = False
while not screen_ok:
ts = get_terminal_size()
width = max(columns, ts.columns)
height = max(lines, ts.lines)
if OS == "Windows":
pass
# not working reliably - ask user to adjust the window
# _set_terminal_size_powershell(width,height)
elif OS in ["Darwin", "Linux"]:
_set_terminal_size_unix(width, height)
# check whether it worked....
ts = get_terminal_size()
if ts.columns < columns or ts.lines < lines:
print(
f"\033[1mThis window is too small for the interface. InvokeAI requires {columns}x{lines} (w x h) characters, but window is {ts.columns}x{ts.lines}\033[0m"
)
resp = input(
"Maximize the window and/or decrease the font size then press any key to continue. Type [Q] to give up.."
)
if resp.upper().startswith("Q"):
break
else:
screen_ok = True
return screen_ok
def _set_terminal_size_powershell(width: int, height: int):
script = f"""
$pshost = get-host
$pswindow = $pshost.ui.rawui
$newsize = $pswindow.buffersize
$newsize.height = 3000
$newsize.width = {width}
$pswindow.buffersize = $newsize
$newsize = $pswindow.windowsize
$newsize.height = {height}
$newsize.width = {width}
$pswindow.windowsize = $newsize
"""
subprocess.run(["powershell", "-Command", "-"], input=script, text=True)
def _set_terminal_size_unix(width: int, height: int):
import fcntl
import termios
# These terminals accept the size command and report that the
# size changed, but they lie!!!
for bad_terminal in ["TERMINATOR_UUID", "ALACRITTY_WINDOW_ID"]:
if os.environ.get(bad_terminal):
return
winsize = struct.pack("HHHH", height, width, 0, 0)
fcntl.ioctl(sys.stdout.fileno(), termios.TIOCSWINSZ, winsize)
sys.stdout.write("\x1b[8;{height};{width}t".format(height=height, width=width))
sys.stdout.flush()
def set_min_terminal_size(min_cols: int, min_lines: int) -> bool:
# make sure there's enough room for the ui
term_cols, term_lines = get_terminal_size()
if term_cols >= min_cols and term_lines >= min_lines:
return True
cols = max(term_cols, min_cols)
lines = max(term_lines, min_lines)
return set_terminal_size(cols, lines)
class IntSlider(npyscreen.Slider):
def translate_value(self):
stri = "%2d / %2d" % (self.value, self.out_of)
length = (len(str(self.out_of))) * 2 + 4
stri = stri.rjust(length)
return stri
# -------------------------------------
# fix npyscreen form so that cursor wraps both forward and backward
class CyclingForm(object):
def find_previous_editable(self, *args):
done = False
n = self.editw - 1
while not done:
if self._widgets__[n].editable and not self._widgets__[n].hidden:
self.editw = n
done = True
n -= 1
if n < 0:
if self.cycle_widgets:
n = len(self._widgets__) - 1
else:
done = True
# -------------------------------------
class CenteredTitleText(npyscreen.TitleText):
def __init__(self, *args, **keywords):
super().__init__(*args, **keywords)
self.resize()
def resize(self):
super().resize()
maxy, maxx = self.parent.curses_pad.getmaxyx()
label = self.name
self.relx = (maxx - len(label)) // 2
# -------------------------------------
class CenteredButtonPress(npyscreen.ButtonPress):
def resize(self):
super().resize()
maxy, maxx = self.parent.curses_pad.getmaxyx()
label = self.name
self.relx = (maxx - len(label)) // 2
# -------------------------------------
class OffsetButtonPress(npyscreen.ButtonPress):
def __init__(self, screen, offset=0, *args, **keywords):
super().__init__(screen, *args, **keywords)
self.offset = offset
def resize(self):
maxy, maxx = self.parent.curses_pad.getmaxyx()
width = len(self.name)
self.relx = self.offset + (maxx - width) // 2
class IntTitleSlider(npyscreen.TitleText):
_entry_type = IntSlider
class FloatSlider(npyscreen.Slider):
# this is supposed to adjust display precision, but doesn't
def translate_value(self):
stri = "%3.2f / %3.2f" % (self.value, self.out_of)
length = (len(str(self.out_of))) * 2 + 4
stri = stri.rjust(length)
return stri
class FloatTitleSlider(npyscreen.TitleText):
_entry_type = npyscreen.Slider
class SelectColumnBase:
"""Base class for selection widget arranged in columns."""
def make_contained_widgets(self):
self._my_widgets = []
column_width = self.width // self.columns
for h in range(self.value_cnt):
self._my_widgets.append(
self._contained_widgets(
self.parent,
rely=self.rely + (h % self.rows) * self._contained_widget_height,
relx=self.relx + (h // self.rows) * column_width,
max_width=column_width,
max_height=self.__class__._contained_widget_height,
)
)
def set_up_handlers(self):
super().set_up_handlers()
self.handlers.update(
{
curses.KEY_UP: self.h_cursor_line_left,
curses.KEY_DOWN: self.h_cursor_line_right,
}
)
def h_cursor_line_down(self, ch):
self.cursor_line += self.rows
if self.cursor_line >= len(self.values):
if self.scroll_exit:
self.cursor_line = len(self.values) - self.rows
self.h_exit_down(ch)
return True
else:
self.cursor_line -= self.rows
return True
def h_cursor_line_up(self, ch):
self.cursor_line -= self.rows
if self.cursor_line < 0:
if self.scroll_exit:
self.cursor_line = 0
self.h_exit_up(ch)
else:
self.cursor_line = 0
def h_cursor_line_left(self, ch):
super().h_cursor_line_up(ch)
def h_cursor_line_right(self, ch):
super().h_cursor_line_down(ch)
def handle_mouse_event(self, mouse_event):
mouse_id, rel_x, rel_y, z, bstate = self.interpret_mouse_event(mouse_event)
column_width = self.width // self.columns
column_height = math.ceil(self.value_cnt / self.columns)
column_no = rel_x // column_width
row_no = rel_y // self._contained_widget_height
self.cursor_line = column_no * column_height + row_no
if bstate & curses.BUTTON1_DOUBLE_CLICKED:
if hasattr(self, "on_mouse_double_click"):
self.on_mouse_double_click(self.cursor_line)
self.display()
class MultiSelectColumns(SelectColumnBase, npyscreen.MultiSelect):
def __init__(self, screen, columns: int = 1, values: Optional[list] = None, **keywords):
if values is None:
values = []
self.columns = columns
self.value_cnt = len(values)
self.rows = math.ceil(self.value_cnt / self.columns)
super().__init__(screen, values=values, **keywords)
def on_mouse_double_click(self, cursor_line):
self.h_select_toggle(cursor_line)
class SingleSelectWithChanged(npyscreen.SelectOne):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.on_changed = None
def h_select(self, ch):
super().h_select(ch)
if self.on_changed:
self.on_changed(self.value)
class CheckboxWithChanged(npyscreen.Checkbox):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.on_changed = None
def whenToggled(self):
super().whenToggled()
if self.on_changed:
self.on_changed(self.value)
class SingleSelectColumnsSimple(SelectColumnBase, SingleSelectWithChanged):
"""Row of radio buttons. Spacebar to select."""
def __init__(self, screen, columns: int = 1, values: list = None, **keywords):
if values is None:
values = []
self.columns = columns
self.value_cnt = len(values)
self.rows = math.ceil(self.value_cnt / self.columns)
self.on_changed = None
super().__init__(screen, values=values, **keywords)
def h_cursor_line_right(self, ch):
self.h_exit_down("bye bye")
def h_cursor_line_left(self, ch):
self.h_exit_up("bye bye")
class SingleSelectColumns(SingleSelectColumnsSimple):
"""Row of radio buttons. When tabbing over a selection, it is auto selected."""
def when_cursor_moved(self):
self.h_select(self.cursor_line)
class TextBoxInner(npyscreen.MultiLineEdit):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.yank = None
self.handlers.update(
{
"^A": self.h_cursor_to_start,
"^E": self.h_cursor_to_end,
"^K": self.h_kill,
"^F": self.h_cursor_right,
"^B": self.h_cursor_left,
"^Y": self.h_yank,
"^V": self.h_paste,
}
)
def h_cursor_to_start(self, input):
self.cursor_position = 0
def h_cursor_to_end(self, input):
self.cursor_position = len(self.value)
def h_kill(self, input):
self.yank = self.value[self.cursor_position :]
self.value = self.value[: self.cursor_position]
def h_yank(self, input):
if self.yank:
self.paste(self.yank)
def paste(self, text: str):
self.value = self.value[: self.cursor_position] + text + self.value[self.cursor_position :]
self.cursor_position += len(text)
def h_paste(self, input: int = 0):
try:
text = pyperclip.paste()
except ModuleNotFoundError:
text = "To paste with the mouse on Linux, please install the 'xclip' program."
self.paste(text)
def handle_mouse_event(self, mouse_event):
mouse_id, rel_x, rel_y, z, bstate = self.interpret_mouse_event(mouse_event)
if bstate & (BUTTON2_CLICKED | BUTTON3_CLICKED):
self.h_paste()
class TextBox(npyscreen.BoxTitle):
_contained_widget = TextBoxInner
class BufferBox(npyscreen.BoxTitle):
_contained_widget = npyscreen.BufferPager
class ConfirmCancelPopup(fmPopup.ActionPopup):
DEFAULT_COLUMNS = 100
def on_ok(self):
self.value = True
def on_cancel(self):
self.value = False
class FileBox(npyscreen.BoxTitle):
_contained_widget = npyscreen.Filename
class PrettyTextBox(npyscreen.BoxTitle):
_contained_widget = TextBox
def _wrap_message_lines(message, line_length):
lines = []
for line in message.split("\n"):
lines.extend(textwrap.wrap(line.rstrip(), line_length))
return lines
def _prepare_message(message):
if isinstance(message, list) or isinstance(message, tuple):
return "\n".join([s.rstrip() for s in message])
# return "\n".join(message)
else:
return message
def select_stable_diffusion_config_file(
form_color: str = "DANGER",
wrap: bool = True,
model_name: str = "Unknown",
):
message = f"Please select the correct prediction type for the checkpoint named '{model_name}'. Press <CANCEL> to skip installation."
title = "CONFIG FILE SELECTION"
options = [
"'epsilon' - most v1.5 models and v2 models trained on 512 pixel images",
"'vprediction' - v2 models trained on 768 pixel images and a few v1.5 models)",
"Accept the best guess; you can fix it in the Web UI later",
]
F = ConfirmCancelPopup(
name=title,
color=form_color,
cycle_widgets=True,
lines=16,
)
F.preserve_selected_widget = True
mlw = F.add(
wgmultiline.Pager,
max_height=4,
editable=False,
)
mlw_width = mlw.width - 1
if wrap:
message = _wrap_message_lines(message, mlw_width)
mlw.values = message
choice = F.add(
npyscreen.SelectOne,
values=options,
value=[2],
max_height=len(options) + 1,
scroll_exit=True,
)
F.editw = 1
F.edit()
if not F.value:
return None
assert choice.value[0] in range(0, 3), "invalid choice"
choices = ["epsilon", "v", "guess"]
return choices[choice.value[0]]