mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
488 lines
17 KiB
Python
488 lines
17 KiB
Python
#!/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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The work is actually done in backend code in model_install_backend.py.
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"""
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import argparse
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import os
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import sys
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from argparse import Namespace
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from pathlib import Path
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from shutil import get_terminal_size
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from typing import List
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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 omegaconf import OmegaConf
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import invokeai.backend.util.logging as logger
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from ...backend.config.model_install_backend import (
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Dataset_path,
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default_config_file,
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default_dataset,
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install_requested_models,
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recommended_datasets,
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)
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from ...backend.util import choose_precision, choose_torch_device
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from .widgets import (
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CenteredTitleText,
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MultiSelectColumns,
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OffsetButtonPress,
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TextBox,
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set_min_terminal_size,
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)
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from invokeai.app.services.config import get_invokeai_config
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# minimum size for the UI
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MIN_COLS = 120
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MIN_LINES = 45
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config = get_invokeai_config()
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class addModelsForm(npyscreen.FormMultiPage):
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# for responsive resizing - disabled
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# FIX_MINIMUM_SIZE_WHEN_CREATED = False
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def __init__(self, parentApp, name, multipage=False, *args, **keywords):
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self.multipage = multipage
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self.initial_models = OmegaConf.load(Dataset_path)
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try:
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self.existing_models = OmegaConf.load(default_config_file())
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except:
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self.existing_models = dict()
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self.starter_model_list = [
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x for x in list(self.initial_models.keys()) if x not in self.existing_models
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]
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self.installed_models = dict()
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super().__init__(parentApp=parentApp, name=name, *args, **keywords)
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def create(self):
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window_width, window_height = get_terminal_size()
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starter_model_labels = self._get_starter_model_labels()
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recommended_models = [
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x
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for x in self.starter_model_list
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if self.initial_models[x].get("recommended", False)
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]
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self.installed_models = sorted(
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[x for x in list(self.initial_models.keys()) if x in self.existing_models]
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)
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self.nextrely -= 1
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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,",
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editable=False,
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color="CAUTION",
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)
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self.add_widget_intelligent(
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npyscreen.FixedText,
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value="Use cursor arrows to make a selection, and space to toggle checkboxes.",
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editable=False,
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color="CAUTION",
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)
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self.nextrely += 1
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if len(self.installed_models) > 0:
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self.add_widget_intelligent(
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CenteredTitleText,
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name="== INSTALLED STARTER MODELS ==",
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editable=False,
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color="CONTROL",
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)
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self.nextrely -= 1
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self.add_widget_intelligent(
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CenteredTitleText,
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name="Currently installed starter models. Uncheck to delete:",
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editable=False,
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labelColor="CAUTION",
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)
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self.nextrely -= 1
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columns = self._get_columns()
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self.previously_installed_models = self.add_widget_intelligent(
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MultiSelectColumns,
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columns=columns,
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values=self.installed_models,
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value=[x for x in range(0, len(self.installed_models))],
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max_height=1 + len(self.installed_models) // columns,
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relx=4,
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slow_scroll=True,
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scroll_exit=True,
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)
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self.purge_deleted = self.add_widget_intelligent(
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npyscreen.Checkbox,
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name="Purge deleted models from disk",
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value=False,
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scroll_exit=True,
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relx=4,
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)
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self.nextrely += 1
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if len(self.starter_model_list) > 0:
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self.add_widget_intelligent(
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CenteredTitleText,
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name="== STARTER MODELS (recommended ones selected) ==",
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editable=False,
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color="CONTROL",
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)
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self.nextrely -= 1
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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.",
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editable=False,
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labelColor="CAUTION",
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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 = not self.existing_models
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self.models_selected = self.add_widget_intelligent(
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npyscreen.MultiSelect,
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name="Install Starter Models",
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values=starter_model_labels,
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value=[
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self.starter_model_list.index(x)
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for x in self.starter_model_list
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if show_recommended and x in recommended_models
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],
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max_height=len(starter_model_labels) + 1,
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relx=4,
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scroll_exit=True,
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)
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self.add_widget_intelligent(
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CenteredTitleText,
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name="== IMPORT LOCAL AND REMOTE MODELS ==",
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editable=False,
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color="CONTROL",
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)
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self.nextrely -= 1
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for line in [
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"In the box below, enter URLs, file paths, or HuggingFace repository IDs.",
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"Separate model names by lines or whitespace (Use shift-control-V to paste):",
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]:
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self.add_widget_intelligent(
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CenteredTitleText,
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name=line,
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editable=False,
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labelColor="CONTROL",
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relx=4,
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)
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self.nextrely -= 1
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self.import_model_paths = self.add_widget_intelligent(
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TextBox, max_height=7, scroll_exit=True, editable=True, relx=4
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)
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self.nextrely += 1
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self.show_directory_fields = self.add_widget_intelligent(
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npyscreen.FormControlCheckbox,
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name="Select a directory for models to import",
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value=False,
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)
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self.autoload_directory = self.add_widget_intelligent(
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npyscreen.TitleFilename,
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name="Directory (<tab> autocompletes):",
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select_dir=True,
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must_exist=True,
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use_two_lines=False,
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labelColor="DANGER",
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begin_entry_at=34,
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scroll_exit=True,
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)
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self.autoscan_on_startup = self.add_widget_intelligent(
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npyscreen.Checkbox,
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name="Scan this directory each time InvokeAI starts for new models to import",
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value=False,
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relx=4,
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scroll_exit=True,
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)
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self.cancel = self.add_widget_intelligent(
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npyscreen.ButtonPress,
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name="CANCEL",
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rely=-3,
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when_pressed_function=self.on_cancel,
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)
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done_label = "DONE"
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back_label = "BACK"
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button_length = len(done_label)
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button_offset = 0
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if self.multipage:
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button_length += len(back_label) + 1
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button_offset += len(back_label) + 1
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self.back_button = self.add_widget_intelligent(
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OffsetButtonPress,
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name=back_label,
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relx=(window_width - button_length) // 2,
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offset=-3,
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rely=-3,
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when_pressed_function=self.on_back,
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)
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self.ok_button = self.add_widget_intelligent(
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OffsetButtonPress,
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name=done_label,
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offset=+3,
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relx=button_offset + 1 + (window_width - button_length) // 2,
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rely=-3,
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when_pressed_function=self.on_ok,
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)
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for i in [self.autoload_directory, self.autoscan_on_startup]:
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self.show_directory_fields.addVisibleWhenSelected(i)
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self.show_directory_fields.when_value_edited = self._clear_scan_directory
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def resize(self):
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super().resize()
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if hasattr(self, "models_selected"):
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self.models_selected.values = self._get_starter_model_labels()
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def _clear_scan_directory(self):
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if not self.show_directory_fields.value:
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self.autoload_directory.value = ""
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def _get_starter_model_labels(self) -> List[str]:
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window_width, window_height = get_terminal_size()
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label_width = 25
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checkbox_width = 4
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spacing_width = 2
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description_width = window_width - label_width - checkbox_width - spacing_width
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im = self.initial_models
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names = self.starter_model_list
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descriptions = [
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im[x].description[0 : description_width - 3] + "..."
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if len(im[x].description) > description_width
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else im[x].description
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for x in names
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]
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return [
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f"%-{label_width}s %s" % (names[x], descriptions[x])
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for x in range(0, len(names))
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]
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def _get_columns(self) -> int:
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window_width, window_height = get_terminal_size()
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cols = (
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4
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if window_width > 240
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else 3
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if window_width > 160
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else 2
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if window_width > 80
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else 1
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)
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return min(cols, len(self.installed_models))
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def on_ok(self):
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self.parentApp.setNextForm(None)
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self.editing = False
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self.parentApp.user_cancelled = False
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self.marshall_arguments()
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def on_back(self):
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self.parentApp.switchFormPrevious()
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self.editing = False
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def on_cancel(self):
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if npyscreen.notify_yes_no(
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"Are you sure you want to cancel?\nYou may re-run this script later using the invoke.sh or invoke.bat command.\n"
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):
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self.parentApp.setNextForm(None)
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self.parentApp.user_cancelled = True
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self.editing = False
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def marshall_arguments(self):
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"""
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Assemble arguments and store as attributes of the application:
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.starter_models: dict of model names to install from INITIAL_CONFIGURE.yaml
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True => Install
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False => Remove
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.scan_directory: Path to a directory of models to scan and import
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.autoscan_on_startup: True if invokeai should scan and import at startup time
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.import_model_paths: list of URLs, repo_ids and file paths to import
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"""
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# we're using a global here rather than storing the result in the parentapp
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# due to some bug in npyscreen that is causing attributes to be lost
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selections = self.parentApp.user_selections
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# starter models to install/remove
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if hasattr(self, "models_selected"):
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starter_models = dict(
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map(
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lambda x: (self.starter_model_list[x], True),
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self.models_selected.value,
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)
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)
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else:
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starter_models = dict()
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selections.purge_deleted_models = False
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if hasattr(self, "previously_installed_models"):
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unchecked = [
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self.previously_installed_models.values[x]
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for x in range(0, len(self.previously_installed_models.values))
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if x not in self.previously_installed_models.value
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]
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starter_models.update(map(lambda x: (x, False), unchecked))
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selections.purge_deleted_models = self.purge_deleted.value
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selections.starter_models = starter_models
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# load directory and whether to scan on startup
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if self.show_directory_fields.value:
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selections.scan_directory = self.autoload_directory.value
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selections.autoscan_on_startup = self.autoscan_on_startup.value
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else:
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selections.scan_directory = None
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selections.autoscan_on_startup = False
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# URLs and the like
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selections.import_model_paths = self.import_model_paths.value.split()
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class AddModelApplication(npyscreen.NPSAppManaged):
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def __init__(self):
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super().__init__()
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self.user_cancelled = False
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self.user_selections = Namespace(
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starter_models=None,
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purge_deleted_models=False,
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scan_directory=None,
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autoscan_on_startup=None,
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import_model_paths=None,
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)
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def onStart(self):
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npyscreen.setTheme(npyscreen.Themes.DefaultTheme)
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self.main_form = self.addForm(
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"MAIN", addModelsForm, name="Install Stable Diffusion Models"
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)
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# --------------------------------------------------------
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def process_and_execute(opt: Namespace, selections: Namespace):
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models_to_remove = [
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x for x in selections.starter_models if not selections.starter_models[x]
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]
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models_to_install = [
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x for x in selections.starter_models if selections.starter_models[x]
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]
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directory_to_scan = selections.scan_directory
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scan_at_startup = selections.autoscan_on_startup
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potential_models_to_install = selections.import_model_paths
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install_requested_models(
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install_initial_models=models_to_install,
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remove_models=models_to_remove,
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scan_directory=Path(directory_to_scan) if directory_to_scan else None,
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external_models=potential_models_to_install,
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scan_at_startup=scan_at_startup,
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precision="float32"
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if opt.full_precision
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else choose_precision(torch.device(choose_torch_device())),
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purge_deleted=selections.purge_deleted_models,
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config_file_path=Path(opt.config_file) if opt.config_file else None,
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)
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# --------------------------------------------------------
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def select_and_download_models(opt: Namespace):
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precision = (
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"float32"
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if opt.full_precision
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else choose_precision(torch.device(choose_torch_device()))
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)
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if opt.default_only:
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install_requested_models(
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install_initial_models=default_dataset(),
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precision=precision,
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)
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elif opt.yes_to_all:
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install_requested_models(
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install_initial_models=recommended_datasets(),
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precision=precision,
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)
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else:
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set_min_terminal_size(MIN_COLS, MIN_LINES)
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installApp = AddModelApplication()
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installApp.run()
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if not installApp.user_cancelled:
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process_and_execute(opt, installApp.user_selections)
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# -------------------------------------
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def main():
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parser = argparse.ArgumentParser(description="InvokeAI model downloader")
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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="only install the default model",
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)
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parser.add_argument(
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"--config_file",
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"-c",
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dest="config_file",
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type=str,
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default=None,
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help="path to configuration file to create",
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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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# setting a global here
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config.root = Path(opt.root or '')
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if not (config.root_dir / config.conf_path.parent).exists():
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logger.info(
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"Your InvokeAI root directory is not set up. Calling invokeai-configure."
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)
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from invokeai.frontend.install import invokeai_configure
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invokeai_configure()
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sys.exit(0)
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try:
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select_and_download_models(opt)
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except AssertionError as e:
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logger.error(e)
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sys.exit(-1)
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except KeyboardInterrupt:
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logger.info("Goodbye! Come back soon.")
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except widget.NotEnoughSpaceForWidget as e:
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if str(e).startswith("Height of 1 allocated"):
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logger.error(
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"Insufficient vertical space for the interface. Please make your window taller and try again"
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)
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elif str(e).startswith("addwstr"):
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logger.error(
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"Insufficient horizontal space for the interface. Please make your window wider and try again."
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)
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# -------------------------------------
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if __name__ == "__main__":
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main()
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