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https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
Merge branch 'main' into bugfix/convert-sdxl-models
This commit is contained in:
commit
c02b9db064
@ -13,8 +13,8 @@ import os
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import shutil
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import textwrap
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import traceback
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import warnings
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import yaml
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import warnings
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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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@ -45,6 +45,7 @@ from invokeai.app.services.config import (
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from invokeai.backend.util.logging import InvokeAILogger
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from invokeai.frontend.install.model_install import addModelsForm, process_and_execute
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from invokeai.frontend.install.widgets import (
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SingleSelectColumns,
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CenteredButtonPress,
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FileBox,
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IntTitleSlider,
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@ -56,7 +57,6 @@ from invokeai.frontend.install.widgets import (
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from invokeai.backend.install.legacy_arg_parsing import legacy_parser
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from invokeai.backend.install.model_install_backend import (
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hf_download_from_pretrained,
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hf_download_with_resume,
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InstallSelections,
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ModelInstall,
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)
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@ -330,34 +330,49 @@ Use cursor arrows to make a checkbox selection, and space to toggle.
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npyscreen.Checkbox,
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name="Free GPU memory after each generation",
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value=old_opts.free_gpu_mem,
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max_width=45,
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relx=5,
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scroll_exit=True,
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)
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self.nextrely -= 1
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self.xformers_enabled = self.add_widget_intelligent(
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npyscreen.Checkbox,
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name="Enable xformers support if available",
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name="Enable xformers support",
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value=old_opts.xformers_enabled,
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relx=5,
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max_width=30,
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relx=50,
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scroll_exit=True,
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)
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self.nextrely -=1
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self.always_use_cpu = self.add_widget_intelligent(
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npyscreen.Checkbox,
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name="Force CPU to be used on GPU systems",
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value=old_opts.always_use_cpu,
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relx=5,
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relx=80,
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scroll_exit=True,
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)
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precision = old_opts.precision or (
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"float32" if program_opts.full_precision else "auto"
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)
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self.nextrely +=1
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self.add_widget_intelligent(
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npyscreen.TitleFixedText,
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name="Floating Point Precision",
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begin_entry_at=0,
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editable=False,
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color="CONTROL",
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scroll_exit=True,
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)
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self.nextrely -=1
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self.precision = self.add_widget_intelligent(
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npyscreen.TitleSelectOne,
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columns = 2,
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SingleSelectColumns,
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columns = 3,
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name="Precision",
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values=PRECISION_CHOICES,
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value=PRECISION_CHOICES.index(precision),
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begin_entry_at=3,
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max_height=len(PRECISION_CHOICES) + 1,
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max_height=2,
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max_width=80,
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scroll_exit=True,
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)
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self.max_cache_size = self.add_widget_intelligent(
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@ -370,12 +385,6 @@ Use cursor arrows to make a checkbox selection, and space to toggle.
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scroll_exit=True,
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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="Folder to recursively scan for new checkpoints, ControlNets, LoRAs and TI models (<tab> autocompletes, ctrl-N advances):",
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editable=False,
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color="CONTROL",
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)
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self.outdir = self.add_widget_intelligent(
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FileBox,
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name="Output directory for images (<tab> autocompletes, ctrl-N advances):",
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@ -391,7 +400,7 @@ Use cursor arrows to make a checkbox selection, and space to toggle.
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self.autoimport_dirs = {}
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self.autoimport_dirs['autoimport_dir'] = self.add_widget_intelligent(
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FileBox,
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name=f'Autoimport Folder',
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name=f'Folder to recursively scan for new checkpoints, ControlNets, LoRAs and TI models',
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value=str(config.root_path / config.autoimport_dir),
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select_dir=True,
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must_exist=False,
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@ -402,15 +411,6 @@ Use cursor arrows to make a checkbox selection, and space to toggle.
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scroll_exit=True
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)
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self.nextrely += 1
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self.add_widget_intelligent(
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npyscreen.TitleFixedText,
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name="== LICENSE ==",
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begin_entry_at=0,
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editable=False,
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color="CONTROL",
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scroll_exit=True,
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)
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self.nextrely -= 1
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label = """BY DOWNLOADING THE STABLE DIFFUSION WEIGHT FILES, YOU AGREE TO HAVE READ
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AND ACCEPTED THE CREATIVEML RESPONSIBLE AI LICENSES LOCATED AT
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https://huggingface.co/spaces/CompVis/stable-diffusion-license and
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@ -440,7 +440,6 @@ https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/blob/main/LICENS
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CenteredButtonPress,
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name=label,
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relx=(window_width - len(label)) // 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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@ -584,7 +583,18 @@ def initialize_rootdir(root: Path, yes_to_all: bool = False):
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path = dest / 'core'
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path.mkdir(parents=True, exist_ok=True)
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with open(root / 'configs' / 'models.yaml','w') as yaml_file:
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maybe_create_models_yaml(root)
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def maybe_create_models_yaml(root: Path):
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models_yaml = root / 'configs' / 'models.yaml'
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if models_yaml.exists():
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if OmegaConf.load(models_yaml).get('__metadata__'): # up to date
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return
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else:
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logger.info('Creating new models.yaml, original saved as models.yaml.orig')
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models_yaml.rename(models_yaml.parent / 'models.yaml.orig')
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with open(models_yaml,'w') as yaml_file:
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yaml_file.write(yaml.dump({'__metadata__':
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{'version':'3.0.0'}
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}
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@ -48,10 +48,6 @@ sd-1/main/openjourney:
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description: An SD 1.5 model fine tuned on Midjourney; prompt with "mdjrny-v4 style" (2.13 GB)
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repo_id: prompthero/openjourney
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recommended: False
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sd-1/main/portraitplus:
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description: An SD-1.5 model trained on close range portraits of people; prompt with "portrait+" (2.13 GB)
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repo_id: wavymulder/portraitplus
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recommended: False
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sd-1/main/seek.art_MEGA:
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repo_id: coreco/seek.art_MEGA
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description: A general use SD-1.5 "anything" model that supports multiple styles (2.1 GB)
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@ -60,10 +56,6 @@ sd-1/main/trinart_stable_diffusion_v2:
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description: An SD-1.5 model finetuned with ~40K assorted high resolution manga/anime-style images (2.13 GB)
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repo_id: naclbit/trinart_stable_diffusion_v2
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recommended: False
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sd-1/main/waifu-diffusion:
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description: An SD-1.5 model trained on 680k anime/manga-style images (2.13 GB)
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repo_id: hakurei/waifu-diffusion
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recommended: False
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sd-1/controlnet/canny:
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repo_id: lllyasviel/control_v11p_sd15_canny
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recommended: True
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@ -93,13 +93,7 @@ class addModelsForm(CyclingForm, npyscreen.FormMultiPage):
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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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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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@ -161,33 +155,40 @@ class addModelsForm(CyclingForm, npyscreen.FormMultiPage):
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BufferBox,
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name='Log Messages',
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editable=False,
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max_height = 10,
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max_height = 8,
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)
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self.nextrely += 1
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done_label = "APPLY CHANGES"
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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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rely=-3,
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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,
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name=cancel_label,
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when_pressed_function=self.on_cancel
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)
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self.nextrely = current_position
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self.ok_button = self.add_widget_intelligent(
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npyscreen.ButtonPress,
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name=done_label,
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relx=(window_width - len(done_label)) // 2,
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rely=-3,
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when_pressed_function=self.on_execute
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when_pressed_function=self.on_execute
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)
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label = "APPLY CHANGES & EXIT"
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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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rely=-3,
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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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@ -17,8 +17,8 @@ from shutil import get_terminal_size
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from curses import BUTTON2_CLICKED,BUTTON3_CLICKED
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# minimum size for UIs
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MIN_COLS = 136
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MIN_LINES = 45
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MIN_COLS = 130
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MIN_LINES = 38
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# -------------------------------------
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def set_terminal_size(columns: int, lines: int):
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@ -38,13 +38,13 @@ def set_terminal_size(columns: int, lines: int):
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ts = get_terminal_size()
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pause = False
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if ts.columns < columns:
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print('\033[1mThis window is too narrow for the user interface. Please make it wider.\033[0m')
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print('\033[1mThis window is too narrow for the user interface.\033[0m')
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pause = True
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if ts.lines < lines:
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print('\033[1mThis window is too short for the user interface. Please make it taller.\033[0m')
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print('\033[1mThis window is too short for the user interface.\033[0m')
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pause = True
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if pause:
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input('Press any key to continue..')
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input('Maximize the window then press any key to continue..')
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def _set_terminal_size_powershell(width: int, height: int):
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script=f'''
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