mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
cleanup: remove unused scripts, cruft
App runs & tests pass.
This commit is contained in:
@ -1,60 +0,0 @@
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"""
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Wrapper for invokeai.backend.configure.invokeai_configure
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"""
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import argparse
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def run_configure() -> None:
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# Before doing _anything_, parse CLI args!
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from invokeai.frontend.cli.arg_parser import InvokeAIArgs
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parser = argparse.ArgumentParser(description="InvokeAI model downloader")
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parser.add_argument(
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"--skip-sd-weights",
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dest="skip_sd_weights",
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action=argparse.BooleanOptionalAction,
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default=False,
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help="skip downloading the large Stable Diffusion weight files",
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)
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parser.add_argument(
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"--skip-support-models",
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dest="skip_support_models",
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action=argparse.BooleanOptionalAction,
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default=False,
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help="skip downloading the support models",
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)
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parser.add_argument(
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"--full-precision",
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dest="full_precision",
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action=argparse.BooleanOptionalAction,
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type=bool,
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default=False,
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help="use 32-bit weights instead of faster 16-bit weights",
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)
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parser.add_argument(
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"--yes",
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"-y",
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dest="yes_to_all",
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action="store_true",
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help='answer "yes" to all prompts',
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)
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parser.add_argument(
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"--default_only",
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action="store_true",
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help="when --yes specified, only install the default model",
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)
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parser.add_argument(
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"--root_dir",
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dest="root",
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type=str,
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default=None,
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help="path to root of install directory",
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)
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opt = parser.parse_args()
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InvokeAIArgs.args = opt
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from invokeai.backend.install.invokeai_configure import main as invokeai_configure
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invokeai_configure(opt)
|
@ -1,652 +0,0 @@
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#!/usr/bin/env python
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# Copyright (c) 2022 Lincoln D. Stein (https://github.com/lstein)
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# Before running stable-diffusion on an internet-isolated machine,
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# run this script from one with internet connectivity. The
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# two machines must share a common .cache directory.
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"""
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This is the npyscreen frontend to the model installation application.
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It is currently named model_install2.py, but will ultimately replace model_install.py.
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"""
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import argparse
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import curses
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import pathlib
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import sys
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import traceback
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import warnings
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from argparse import Namespace
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from shutil import get_terminal_size
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from typing import Any, Dict, List, Optional, Set
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import npyscreen
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import torch
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from npyscreen import widget
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from invokeai.app.services.config.config_default import get_config
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from invokeai.app.services.model_install import ModelInstallServiceBase
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from invokeai.backend.install.check_directories import validate_directories
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from invokeai.backend.install.install_helper import InstallHelper, InstallSelections, UnifiedModelInfo
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from invokeai.backend.model_manager import ModelType
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from invokeai.backend.util import choose_precision, choose_torch_device
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from invokeai.backend.util.logging import InvokeAILogger
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from invokeai.frontend.install.widgets import (
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MIN_COLS,
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MIN_LINES,
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CenteredTitleText,
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CyclingForm,
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MultiSelectColumns,
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SingleSelectColumns,
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TextBox,
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WindowTooSmallException,
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set_min_terminal_size,
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)
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warnings.filterwarnings("ignore", category=UserWarning) # noqa: E402
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config = get_config()
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logger = InvokeAILogger.get_logger("ModelInstallService", config=config)
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# logger.setLevel("WARNING")
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# logger.setLevel('DEBUG')
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# build a table mapping all non-printable characters to None
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# for stripping control characters
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# from https://stackoverflow.com/questions/92438/stripping-non-printable-characters-from-a-string-in-python
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NOPRINT_TRANS_TABLE = {i: None for i in range(0, sys.maxunicode + 1) if not chr(i).isprintable()}
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# maximum number of installed models we can display before overflowing vertically
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MAX_OTHER_MODELS = 72
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def make_printable(s: str) -> str:
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"""Replace non-printable characters in a string."""
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return s.translate(NOPRINT_TRANS_TABLE)
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class addModelsForm(CyclingForm, npyscreen.FormMultiPage):
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"""Main form for interactive TUI."""
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# for responsive resizing set to False, but this seems to cause a crash!
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FIX_MINIMUM_SIZE_WHEN_CREATED = True
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# for persistence
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current_tab = 0
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def __init__(self, parentApp: npyscreen.NPSAppManaged, name: str, multipage: bool = False, **keywords: Any):
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self.multipage = multipage
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self.subprocess = None
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super().__init__(parentApp=parentApp, name=name, **keywords)
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def create(self) -> None:
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self.installer = self.parentApp.install_helper.installer
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self.model_labels = self._get_model_labels()
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self.keypress_timeout = 10
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self.counter = 0
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self.subprocess_connection = None
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window_width, window_height = get_terminal_size()
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# npyscreen has no typing hints
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self.nextrely -= 1 # type: ignore
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self.add_widget_intelligent(
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npyscreen.FixedText,
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value="Use ctrl-N and ctrl-P to move to the <N>ext and <P>revious fields. Cursor keys navigate, and <space> selects.",
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editable=False,
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color="CAUTION",
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)
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self.nextrely += 1 # type: ignore
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self.tabs = self.add_widget_intelligent(
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SingleSelectColumns,
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values=[
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"STARTERS",
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"MAINS",
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"CONTROLNETS",
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"T2I-ADAPTERS",
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"IP-ADAPTERS",
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"LORAS",
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"TI EMBEDDINGS",
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],
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value=[self.current_tab],
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columns=7,
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max_height=2,
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relx=8,
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scroll_exit=True,
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)
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self.tabs.on_changed = self._toggle_tables
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top_of_table = self.nextrely # type: ignore
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self.starter_pipelines = self.add_starter_pipelines()
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bottom_of_table = self.nextrely # type: ignore
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self.nextrely = top_of_table
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self.pipeline_models = self.add_pipeline_widgets(
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model_type=ModelType.Main, window_width=window_width, exclude=self.starter_models
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)
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# self.pipeline_models['autoload_pending'] = True
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bottom_of_table = max(bottom_of_table, self.nextrely)
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self.nextrely = top_of_table
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self.controlnet_models = self.add_model_widgets(
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model_type=ModelType.ControlNet,
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window_width=window_width,
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)
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bottom_of_table = max(bottom_of_table, self.nextrely)
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self.nextrely = top_of_table
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self.t2i_models = self.add_model_widgets(
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model_type=ModelType.T2IAdapter,
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window_width=window_width,
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)
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bottom_of_table = max(bottom_of_table, self.nextrely)
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self.nextrely = top_of_table
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self.ipadapter_models = self.add_model_widgets(
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model_type=ModelType.IPAdapter,
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window_width=window_width,
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)
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bottom_of_table = max(bottom_of_table, self.nextrely)
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self.nextrely = top_of_table
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self.lora_models = self.add_model_widgets(
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model_type=ModelType.LoRA,
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window_width=window_width,
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)
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bottom_of_table = max(bottom_of_table, self.nextrely)
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self.nextrely = top_of_table
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self.ti_models = self.add_model_widgets(
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model_type=ModelType.TextualInversion,
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window_width=window_width,
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)
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bottom_of_table = max(bottom_of_table, self.nextrely)
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self.nextrely = bottom_of_table + 1
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self.nextrely += 1
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back_label = "BACK"
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cancel_label = "CANCEL"
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current_position = self.nextrely
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if self.multipage:
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self.back_button = self.add_widget_intelligent(
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npyscreen.ButtonPress,
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name=back_label,
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when_pressed_function=self.on_back,
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)
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else:
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self.nextrely = current_position
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self.cancel_button = self.add_widget_intelligent(
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npyscreen.ButtonPress, name=cancel_label, when_pressed_function=self.on_cancel
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)
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self.nextrely = current_position
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label = "APPLY CHANGES"
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self.nextrely = current_position
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self.done = self.add_widget_intelligent(
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npyscreen.ButtonPress,
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name=label,
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relx=window_width - len(label) - 15,
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when_pressed_function=self.on_done,
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)
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# This restores the selected page on return from an installation
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for _i in range(1, self.current_tab + 1):
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self.tabs.h_cursor_line_down(1)
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self._toggle_tables([self.current_tab])
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############# diffusers tab ##########
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def add_starter_pipelines(self) -> dict[str, npyscreen.widget]:
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"""Add widgets responsible for selecting diffusers models"""
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widgets: Dict[str, npyscreen.widget] = {}
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all_models = self.all_models # master dict of all models, indexed by key
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model_list = [x for x in self.starter_models if all_models[x].type in ["main", "vae"]]
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model_labels = [self.model_labels[x] for x in model_list]
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widgets.update(
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label1=self.add_widget_intelligent(
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CenteredTitleText,
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name="Select from a starter set of Stable Diffusion models from HuggingFace and Civitae.",
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editable=False,
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labelColor="CAUTION",
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)
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)
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self.nextrely -= 1
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# if user has already installed some initial models, then don't patronize them
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# by showing more recommendations
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show_recommended = len(self.installed_models) == 0
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checked = [
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model_list.index(x)
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for x in model_list
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if (show_recommended and all_models[x].recommended) or all_models[x].installed
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]
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widgets.update(
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models_selected=self.add_widget_intelligent(
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MultiSelectColumns,
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columns=1,
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name="Install Starter Models",
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values=model_labels,
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value=checked,
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max_height=len(model_list) + 1,
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relx=4,
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scroll_exit=True,
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),
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models=model_list,
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)
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self.nextrely += 1
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return widgets
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############# Add a set of model install widgets ########
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def add_model_widgets(
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self,
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model_type: ModelType,
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window_width: int = 120,
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install_prompt: Optional[str] = None,
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exclude: Optional[Set[str]] = None,
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) -> dict[str, npyscreen.widget]:
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"""Generic code to create model selection widgets"""
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if exclude is None:
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exclude = set()
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widgets: Dict[str, npyscreen.widget] = {}
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all_models = self.all_models
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model_list = sorted(
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[x for x in all_models if all_models[x].type == model_type and x not in exclude],
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key=lambda x: all_models[x].name or "",
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)
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model_labels = [self.model_labels[x] for x in model_list]
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show_recommended = len(self.installed_models) == 0
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truncated = False
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if len(model_list) > 0:
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max_width = max([len(x) for x in model_labels])
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columns = window_width // (max_width + 8) # 8 characters for "[x] " and padding
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columns = min(len(model_list), columns) or 1
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prompt = (
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install_prompt
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or f"Select the desired {model_type.value.title()} models to install. Unchecked models will be purged from disk."
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)
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widgets.update(
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label1=self.add_widget_intelligent(
|
||||
CenteredTitleText,
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name=prompt,
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||||
editable=False,
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||||
labelColor="CAUTION",
|
||||
)
|
||||
)
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||||
|
||||
if len(model_labels) > MAX_OTHER_MODELS:
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model_labels = model_labels[0:MAX_OTHER_MODELS]
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||||
truncated = True
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widgets.update(
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models_selected=self.add_widget_intelligent(
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||||
MultiSelectColumns,
|
||||
columns=columns,
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||||
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()
|
@ -1,441 +0,0 @@
|
||||
"""
|
||||
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]]
|
Reference in New Issue
Block a user