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from datetime import datetime |
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|
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from app_settings import AppSettings |
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from backend.models.lcmdiffusion_setting import DiffusionTask |
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from constants import ( |
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APP_NAME, |
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APP_VERSION, |
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LCM_DEFAULT_MODEL, |
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LCM_DEFAULT_MODEL_OPENVINO, |
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) |
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from context import Context |
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from frontend.gui.image_variations_widget import ImageVariationsWidget |
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from frontend.gui.upscaler_widget import UpscalerWidget |
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from frontend.gui.img2img_widget import Img2ImgWidget |
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from frontend.utils import ( |
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enable_openvino_controls, |
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get_valid_model_id, |
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is_reshape_required, |
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) |
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from paths import FastStableDiffusionPaths |
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from PyQt5 import QtCore, QtWidgets |
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from PyQt5.QtCore import QSize, Qt, QThreadPool, QUrl |
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from PyQt5.QtGui import QDesktopServices |
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from PyQt5.QtWidgets import ( |
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QCheckBox, |
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QComboBox, |
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QFileDialog, |
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QHBoxLayout, |
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QLabel, |
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QLineEdit, |
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QMainWindow, |
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QPushButton, |
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QSizePolicy, |
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QSlider, |
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QSpacerItem, |
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QTabWidget, |
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QToolButton, |
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QVBoxLayout, |
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QWidget, |
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) |
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|
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from models.interface_types import InterfaceType |
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from frontend.gui.base_widget import BaseWidget |
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QtWidgets.QApplication.setAttribute(QtCore.Qt.AA_EnableHighDpiScaling, True) |
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QtWidgets.QApplication.setAttribute(QtCore.Qt.AA_UseHighDpiPixmaps, True) |
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class MainWindow(QMainWindow): |
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settings_changed = QtCore.pyqtSignal() |
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""" This signal is used for enabling/disabling the negative prompt field for |
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modes that support it; in particular, negative prompt is supported with OpenVINO models |
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and in LCM-LoRA mode but not in LCM mode |
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""" |
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|
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def __init__(self, config: AppSettings): |
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super().__init__() |
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self.config = config |
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if self.config.settings.lcm_diffusion_setting.lora: |
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self.config.settings.lcm_diffusion_setting.lora.enabled = False |
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if self.config.settings.lcm_diffusion_setting.controlnet: |
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self.config.settings.lcm_diffusion_setting.controlnet.enabled = False |
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self.setWindowTitle(APP_NAME) |
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self.setFixedSize(QSize(600, 670)) |
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self.init_ui() |
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self.pipeline = None |
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self.threadpool = QThreadPool() |
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self.device = "cpu" |
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self.previous_width = 0 |
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self.previous_height = 0 |
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self.previous_model = "" |
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self.previous_num_of_images = 0 |
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self.context = Context(InterfaceType.GUI) |
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self.init_ui_values() |
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self.gen_images = [] |
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self.image_index = 0 |
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print(f"Output path : {self.config.settings.generated_images.path}") |
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|
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def init_ui_values(self): |
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self.lcm_model.setEnabled( |
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not self.config.settings.lcm_diffusion_setting.use_openvino |
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) |
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self.guidance.setValue( |
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int(self.config.settings.lcm_diffusion_setting.guidance_scale * 10) |
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) |
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self.seed_value.setEnabled(self.config.settings.lcm_diffusion_setting.use_seed) |
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self.safety_checker.setChecked( |
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self.config.settings.lcm_diffusion_setting.use_safety_checker |
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) |
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self.use_openvino_check.setChecked( |
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self.config.settings.lcm_diffusion_setting.use_openvino |
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) |
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self.width.setCurrentText( |
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str(self.config.settings.lcm_diffusion_setting.image_width) |
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) |
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self.height.setCurrentText( |
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str(self.config.settings.lcm_diffusion_setting.image_height) |
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) |
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self.inference_steps.setValue( |
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int(self.config.settings.lcm_diffusion_setting.inference_steps) |
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) |
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self.clip_skip.setValue( |
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int(self.config.settings.lcm_diffusion_setting.clip_skip) |
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) |
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self.token_merging.setValue( |
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int(self.config.settings.lcm_diffusion_setting.token_merging * 100) |
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) |
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self.seed_check.setChecked(self.config.settings.lcm_diffusion_setting.use_seed) |
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self.seed_value.setText(str(self.config.settings.lcm_diffusion_setting.seed)) |
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self.use_local_model_folder.setChecked( |
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self.config.settings.lcm_diffusion_setting.use_offline_model |
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) |
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self.results_path.setText(self.config.settings.generated_images.path) |
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self.num_images.setValue( |
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self.config.settings.lcm_diffusion_setting.number_of_images |
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) |
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self.use_tae_sd.setChecked( |
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self.config.settings.lcm_diffusion_setting.use_tiny_auto_encoder |
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) |
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self.use_lcm_lora.setChecked( |
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self.config.settings.lcm_diffusion_setting.use_lcm_lora |
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) |
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self.lcm_model.setCurrentText( |
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get_valid_model_id( |
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self.config.lcm_models, |
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self.config.settings.lcm_diffusion_setting.lcm_model_id, |
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LCM_DEFAULT_MODEL, |
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) |
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) |
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self.base_model_id.setCurrentText( |
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get_valid_model_id( |
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self.config.stable_diffsuion_models, |
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self.config.settings.lcm_diffusion_setting.lcm_lora.base_model_id, |
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) |
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) |
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self.lcm_lora_id.setCurrentText( |
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get_valid_model_id( |
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self.config.lcm_lora_models, |
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self.config.settings.lcm_diffusion_setting.lcm_lora.lcm_lora_id, |
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) |
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) |
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self.openvino_lcm_model_id.setCurrentText( |
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get_valid_model_id( |
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self.config.openvino_lcm_models, |
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self.config.settings.lcm_diffusion_setting.openvino_lcm_model_id, |
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LCM_DEFAULT_MODEL_OPENVINO, |
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) |
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) |
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self.openvino_lcm_model_id.setEnabled( |
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self.config.settings.lcm_diffusion_setting.use_openvino |
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) |
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|
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def init_ui(self): |
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self.create_main_tab() |
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self.create_settings_tab() |
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self.create_about_tab() |
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self.show() |
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|
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def create_main_tab(self): |
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self.tab_widget = QTabWidget(self) |
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self.tab_main = BaseWidget(self.config, self) |
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self.tab_settings = QWidget() |
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self.tab_about = QWidget() |
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self.img2img_tab = Img2ImgWidget(self.config, self) |
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self.variations_tab = ImageVariationsWidget(self.config, self) |
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self.upscaler_tab = UpscalerWidget(self.config, self) |
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self.tab_widget.addTab(self.tab_main, "Text to Image") |
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self.tab_widget.addTab(self.img2img_tab, "Image to Image") |
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self.tab_widget.addTab(self.variations_tab, "Image Variations") |
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self.tab_widget.addTab(self.upscaler_tab, "Upscaler") |
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self.tab_widget.addTab(self.tab_settings, "Settings") |
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self.tab_widget.addTab(self.tab_about, "About") |
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|
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self.setCentralWidget(self.tab_widget) |
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self.use_seed = False |
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|
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def create_settings_tab(self): |
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self.lcm_model_label = QLabel("Latent Consistency Model:") |
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self.lcm_model = QComboBox(self) |
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self.lcm_model.addItems(self.config.lcm_models) |
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self.lcm_model.currentIndexChanged.connect(self.on_lcm_model_changed) |
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|
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self.use_lcm_lora = QCheckBox("Use LCM LoRA") |
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self.use_lcm_lora.setChecked(False) |
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self.use_lcm_lora.stateChanged.connect(self.use_lcm_lora_changed) |
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|
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self.lora_base_model_id_label = QLabel("Lora base model ID :") |
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self.base_model_id = QComboBox(self) |
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self.base_model_id.addItems(self.config.stable_diffsuion_models) |
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self.base_model_id.currentIndexChanged.connect(self.on_base_model_id_changed) |
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|
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self.lcm_lora_model_id_label = QLabel("LCM LoRA model ID :") |
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self.lcm_lora_id = QComboBox(self) |
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self.lcm_lora_id.addItems(self.config.lcm_lora_models) |
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self.lcm_lora_id.currentIndexChanged.connect(self.on_lcm_lora_id_changed) |
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|
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self.inference_steps_value = QLabel("Number of inference steps: 4") |
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self.inference_steps = QSlider(orientation=Qt.Orientation.Horizontal) |
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self.inference_steps.setMaximum(25) |
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self.inference_steps.setMinimum(1) |
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self.inference_steps.setValue(4) |
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self.inference_steps.valueChanged.connect(self.update_steps_label) |
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|
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self.num_images_value = QLabel("Number of images: 1") |
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self.num_images = QSlider(orientation=Qt.Orientation.Horizontal) |
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self.num_images.setMaximum(100) |
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self.num_images.setMinimum(1) |
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self.num_images.setValue(1) |
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self.num_images.valueChanged.connect(self.update_num_images_label) |
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self.guidance_value = QLabel("Guidance scale: 1") |
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self.guidance = QSlider(orientation=Qt.Orientation.Horizontal) |
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self.guidance.setMaximum(20) |
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self.guidance.setMinimum(10) |
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self.guidance.setValue(10) |
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self.guidance.valueChanged.connect(self.update_guidance_label) |
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self.clip_skip_value = QLabel("CLIP Skip: 1") |
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self.clip_skip = QSlider(orientation=Qt.Orientation.Horizontal) |
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self.clip_skip.setMaximum(12) |
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self.clip_skip.setMinimum(1) |
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self.clip_skip.setValue(1) |
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self.clip_skip.valueChanged.connect(self.update_clip_skip_label) |
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self.token_merging_value = QLabel("Token Merging: 0") |
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self.token_merging = QSlider(orientation=Qt.Orientation.Horizontal) |
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self.token_merging.setMaximum(100) |
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self.token_merging.setMinimum(0) |
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self.token_merging.setValue(0) |
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self.token_merging.valueChanged.connect(self.update_token_merging_label) |
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|
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self.width_value = QLabel("Width :") |
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self.width = QComboBox(self) |
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self.width.addItem("256") |
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self.width.addItem("512") |
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self.width.addItem("768") |
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self.width.addItem("1024") |
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self.width.setCurrentText("512") |
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self.width.currentIndexChanged.connect(self.on_width_changed) |
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self.height_value = QLabel("Height :") |
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self.height = QComboBox(self) |
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self.height.addItem("256") |
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self.height.addItem("512") |
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self.height.addItem("768") |
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self.height.addItem("1024") |
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self.height.setCurrentText("512") |
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self.height.currentIndexChanged.connect(self.on_height_changed) |
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|
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self.seed_check = QCheckBox("Use seed") |
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self.seed_value = QLineEdit() |
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self.seed_value.setInputMask("9999999999") |
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self.seed_value.setText("123123") |
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self.seed_check.stateChanged.connect(self.seed_changed) |
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self.safety_checker = QCheckBox("Use safety checker") |
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self.safety_checker.setChecked(True) |
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self.safety_checker.stateChanged.connect(self.use_safety_checker_changed) |
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self.use_openvino_check = QCheckBox("Use OpenVINO") |
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self.use_openvino_check.setChecked(False) |
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self.openvino_model_label = QLabel("OpenVINO LCM model:") |
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self.use_local_model_folder = QCheckBox( |
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"Use locally cached model or downloaded model folder(offline)" |
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) |
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self.openvino_lcm_model_id = QComboBox(self) |
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self.openvino_lcm_model_id.addItems(self.config.openvino_lcm_models) |
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self.openvino_lcm_model_id.currentIndexChanged.connect( |
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self.on_openvino_lcm_model_id_changed |
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) |
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self.use_openvino_check.setEnabled(enable_openvino_controls()) |
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self.use_local_model_folder.setChecked(False) |
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self.use_local_model_folder.stateChanged.connect(self.use_offline_model_changed) |
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self.use_openvino_check.stateChanged.connect(self.use_openvino_changed) |
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|
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self.use_tae_sd = QCheckBox( |
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"Use Tiny Auto Encoder - TAESD (Fast, moderate quality)" |
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) |
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self.use_tae_sd.setChecked(False) |
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self.use_tae_sd.stateChanged.connect(self.use_tae_sd_changed) |
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hlayout = QHBoxLayout() |
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hlayout.addWidget(self.seed_check) |
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hlayout.addWidget(self.seed_value) |
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hspacer = QSpacerItem(20, 10, QSizePolicy.Expanding, QSizePolicy.Minimum) |
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slider_hspacer = QSpacerItem(20, 10, QSizePolicy.Expanding, QSizePolicy.Minimum) |
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self.results_path_label = QLabel("Output path:") |
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self.results_path = QLineEdit() |
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self.results_path.textChanged.connect(self.on_path_changed) |
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self.browse_folder_btn = QToolButton() |
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self.browse_folder_btn.setText("...") |
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self.browse_folder_btn.clicked.connect(self.on_browse_folder) |
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|
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self.reset = QPushButton("Reset All") |
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self.reset.clicked.connect(self.reset_all_settings) |
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|
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vlayout = QVBoxLayout() |
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vspacer = QSpacerItem(20, 20, QSizePolicy.Minimum, QSizePolicy.Expanding) |
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vlayout.addItem(hspacer) |
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vlayout.setSpacing(3) |
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vlayout.addWidget(self.lcm_model_label) |
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vlayout.addWidget(self.lcm_model) |
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vlayout.addWidget(self.use_local_model_folder) |
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vlayout.addWidget(self.use_lcm_lora) |
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vlayout.addWidget(self.lora_base_model_id_label) |
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vlayout.addWidget(self.base_model_id) |
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vlayout.addWidget(self.lcm_lora_model_id_label) |
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vlayout.addWidget(self.lcm_lora_id) |
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vlayout.addWidget(self.use_openvino_check) |
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vlayout.addWidget(self.openvino_model_label) |
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vlayout.addWidget(self.openvino_lcm_model_id) |
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vlayout.addWidget(self.use_tae_sd) |
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vlayout.addItem(slider_hspacer) |
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vlayout.addWidget(self.inference_steps_value) |
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vlayout.addWidget(self.inference_steps) |
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vlayout.addWidget(self.num_images_value) |
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vlayout.addWidget(self.num_images) |
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vlayout.addWidget(self.width_value) |
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vlayout.addWidget(self.width) |
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vlayout.addWidget(self.height_value) |
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vlayout.addWidget(self.height) |
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vlayout.addWidget(self.guidance_value) |
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vlayout.addWidget(self.guidance) |
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vlayout.addWidget(self.clip_skip_value) |
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vlayout.addWidget(self.clip_skip) |
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vlayout.addWidget(self.token_merging_value) |
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vlayout.addWidget(self.token_merging) |
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vlayout.addLayout(hlayout) |
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vlayout.addWidget(self.safety_checker) |
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|
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vlayout.addWidget(self.results_path_label) |
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hlayout_path = QHBoxLayout() |
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hlayout_path.addWidget(self.results_path) |
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hlayout_path.addWidget(self.browse_folder_btn) |
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vlayout.addLayout(hlayout_path) |
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self.tab_settings.setLayout(vlayout) |
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hlayout_reset = QHBoxLayout() |
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hspacer = QSpacerItem(20, 20, QSizePolicy.Expanding, QSizePolicy.Minimum) |
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hlayout_reset.addItem(hspacer) |
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hlayout_reset.addWidget(self.reset) |
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vlayout.addLayout(hlayout_reset) |
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vlayout.addItem(vspacer) |
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|
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def create_about_tab(self): |
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self.label = QLabel() |
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self.label.setAlignment(Qt.AlignCenter) |
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current_year = datetime.now().year |
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self.label.setText( |
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f"""<h1>FastSD CPU {APP_VERSION}</h1> |
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<h3>(c)2023 - {current_year} Rupesh Sreeraman</h3> |
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<h3>Faster stable diffusion on CPU</h3> |
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<h3>Based on Latent Consistency Models</h3> |
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<h3>GitHub : https://github.com/rupeshs/fastsdcpu/</h3>""" |
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) |
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vlayout = QVBoxLayout() |
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vlayout.addWidget(self.label) |
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self.tab_about.setLayout(vlayout) |
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|
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def show_image(self, pixmap): |
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image_width = self.config.settings.lcm_diffusion_setting.image_width |
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image_height = self.config.settings.lcm_diffusion_setting.image_height |
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if image_width > 512 or image_height > 512: |
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new_width = 512 if image_width > 512 else image_width |
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new_height = 512 if image_height > 512 else image_height |
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self.img.setPixmap( |
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pixmap.scaled( |
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new_width, |
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new_height, |
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Qt.KeepAspectRatio, |
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) |
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) |
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else: |
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self.img.setPixmap(pixmap) |
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|
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def on_show_next_image(self): |
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if self.image_index != len(self.gen_images) - 1 and len(self.gen_images) > 0: |
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self.previous_img_btn.setEnabled(True) |
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self.image_index += 1 |
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self.show_image(self.gen_images[self.image_index]) |
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if self.image_index == len(self.gen_images) - 1: |
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self.next_img_btn.setEnabled(False) |
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|
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def on_open_results_folder(self): |
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QDesktopServices.openUrl( |
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QUrl.fromLocalFile(self.config.settings.generated_images.path) |
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) |
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|
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def on_show_previous_image(self): |
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if self.image_index != 0: |
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self.next_img_btn.setEnabled(True) |
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self.image_index -= 1 |
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self.show_image(self.gen_images[self.image_index]) |
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if self.image_index == 0: |
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self.previous_img_btn.setEnabled(False) |
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|
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def on_path_changed(self, text): |
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self.config.settings.generated_images.path = text |
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|
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def on_browse_folder(self): |
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options = QFileDialog.Options() |
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options |= QFileDialog.ShowDirsOnly |
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|
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folder_path = QFileDialog.getExistingDirectory( |
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self, "Select a Folder", "", options=options |
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) |
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|
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if folder_path: |
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self.config.settings.generated_images.path = folder_path |
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self.results_path.setText(folder_path) |
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|
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def on_width_changed(self, index): |
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width_txt = self.width.itemText(index) |
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self.config.settings.lcm_diffusion_setting.image_width = int(width_txt) |
|
|
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def on_height_changed(self, index): |
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height_txt = self.height.itemText(index) |
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self.config.settings.lcm_diffusion_setting.image_height = int(height_txt) |
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|
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def on_lcm_model_changed(self, index): |
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model_id = self.lcm_model.itemText(index) |
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self.config.settings.lcm_diffusion_setting.lcm_model_id = model_id |
|
|
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def on_base_model_id_changed(self, index): |
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model_id = self.base_model_id.itemText(index) |
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self.config.settings.lcm_diffusion_setting.lcm_lora.base_model_id = model_id |
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|
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def on_lcm_lora_id_changed(self, index): |
|
model_id = self.lcm_lora_id.itemText(index) |
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self.config.settings.lcm_diffusion_setting.lcm_lora.lcm_lora_id = model_id |
|
|
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def on_openvino_lcm_model_id_changed(self, index): |
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model_id = self.openvino_lcm_model_id.itemText(index) |
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self.config.settings.lcm_diffusion_setting.openvino_lcm_model_id = model_id |
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|
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def use_openvino_changed(self, state): |
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if state == 2: |
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self.lcm_model.setEnabled(False) |
|
self.use_lcm_lora.setEnabled(False) |
|
self.lcm_lora_id.setEnabled(False) |
|
self.base_model_id.setEnabled(False) |
|
self.openvino_lcm_model_id.setEnabled(True) |
|
self.config.settings.lcm_diffusion_setting.use_openvino = True |
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else: |
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self.lcm_model.setEnabled(True) |
|
self.use_lcm_lora.setEnabled(True) |
|
self.lcm_lora_id.setEnabled(True) |
|
self.base_model_id.setEnabled(True) |
|
self.openvino_lcm_model_id.setEnabled(False) |
|
self.config.settings.lcm_diffusion_setting.use_openvino = False |
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self.settings_changed.emit() |
|
|
|
def use_tae_sd_changed(self, state): |
|
if state == 2: |
|
self.config.settings.lcm_diffusion_setting.use_tiny_auto_encoder = True |
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else: |
|
self.config.settings.lcm_diffusion_setting.use_tiny_auto_encoder = False |
|
|
|
def use_offline_model_changed(self, state): |
|
if state == 2: |
|
self.config.settings.lcm_diffusion_setting.use_offline_model = True |
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else: |
|
self.config.settings.lcm_diffusion_setting.use_offline_model = False |
|
|
|
def use_lcm_lora_changed(self, state): |
|
if state == 2: |
|
self.lcm_model.setEnabled(False) |
|
self.lcm_lora_id.setEnabled(True) |
|
self.base_model_id.setEnabled(True) |
|
self.config.settings.lcm_diffusion_setting.use_lcm_lora = True |
|
else: |
|
self.lcm_model.setEnabled(True) |
|
self.lcm_lora_id.setEnabled(False) |
|
self.base_model_id.setEnabled(False) |
|
self.config.settings.lcm_diffusion_setting.use_lcm_lora = False |
|
self.settings_changed.emit() |
|
|
|
def update_clip_skip_label(self, value): |
|
self.clip_skip_value.setText(f"CLIP Skip: {value}") |
|
self.config.settings.lcm_diffusion_setting.clip_skip = value |
|
|
|
def update_token_merging_label(self, value): |
|
val = round(int(value) / 100, 1) |
|
self.token_merging_value.setText(f"Token Merging: {val}") |
|
self.config.settings.lcm_diffusion_setting.token_merging = val |
|
|
|
def use_safety_checker_changed(self, state): |
|
if state == 2: |
|
self.config.settings.lcm_diffusion_setting.use_safety_checker = True |
|
else: |
|
self.config.settings.lcm_diffusion_setting.use_safety_checker = False |
|
|
|
def update_steps_label(self, value): |
|
self.inference_steps_value.setText(f"Number of inference steps: {value}") |
|
self.config.settings.lcm_diffusion_setting.inference_steps = value |
|
|
|
def update_num_images_label(self, value): |
|
self.num_images_value.setText(f"Number of images: {value}") |
|
self.config.settings.lcm_diffusion_setting.number_of_images = value |
|
|
|
def update_guidance_label(self, value): |
|
val = round(int(value) / 10, 1) |
|
self.guidance_value.setText(f"Guidance scale: {val}") |
|
self.config.settings.lcm_diffusion_setting.guidance_scale = val |
|
|
|
def seed_changed(self, state): |
|
if state == 2: |
|
self.seed_value.setEnabled(True) |
|
self.config.settings.lcm_diffusion_setting.use_seed = True |
|
else: |
|
self.seed_value.setEnabled(False) |
|
self.config.settings.lcm_diffusion_setting.use_seed = False |
|
|
|
def get_seed_value(self) -> int: |
|
use_seed = self.config.settings.lcm_diffusion_setting.use_seed |
|
seed_value = int(self.seed_value.text()) if use_seed else -1 |
|
return seed_value |
|
|
|
|
|
|
|
|
|
|
|
|
|
def closeEvent(self, event): |
|
self.config.settings.lcm_diffusion_setting.seed = self.get_seed_value() |
|
print(self.config.settings.lcm_diffusion_setting) |
|
print("Saving settings") |
|
self.config.save() |
|
|
|
def reset_all_settings(self): |
|
self.use_local_model_folder.setChecked(False) |
|
self.width.setCurrentText("512") |
|
self.height.setCurrentText("512") |
|
self.inference_steps.setValue(4) |
|
self.guidance.setValue(10) |
|
self.clip_skip.setValue(1) |
|
self.token_merging.setValue(0) |
|
self.use_openvino_check.setChecked(False) |
|
self.seed_check.setChecked(False) |
|
self.safety_checker.setChecked(False) |
|
self.results_path.setText(FastStableDiffusionPaths().get_results_path()) |
|
self.use_tae_sd.setChecked(False) |
|
self.use_lcm_lora.setChecked(False) |
|
|
|
def prepare_generation_settings(self, config): |
|
"""Populate config settings with the values set by the user in the GUI""" |
|
config.settings.lcm_diffusion_setting.seed = self.get_seed_value() |
|
config.settings.lcm_diffusion_setting.lcm_lora.lcm_lora_id = ( |
|
self.lcm_lora_id.currentText() |
|
) |
|
config.settings.lcm_diffusion_setting.lcm_lora.base_model_id = ( |
|
self.base_model_id.currentText() |
|
) |
|
|
|
if config.settings.lcm_diffusion_setting.use_openvino: |
|
model_id = self.openvino_lcm_model_id.currentText() |
|
config.settings.lcm_diffusion_setting.openvino_lcm_model_id = model_id |
|
else: |
|
model_id = self.lcm_model.currentText() |
|
config.settings.lcm_diffusion_setting.lcm_model_id = model_id |
|
|
|
config.reshape_required = False |
|
config.model_id = model_id |
|
if config.settings.lcm_diffusion_setting.use_openvino: |
|
|
|
config.reshape_required = is_reshape_required( |
|
self.previous_width, |
|
config.settings.lcm_diffusion_setting.image_width, |
|
self.previous_height, |
|
config.settings.lcm_diffusion_setting.image_height, |
|
self.previous_model, |
|
model_id, |
|
self.previous_num_of_images, |
|
config.settings.lcm_diffusion_setting.number_of_images, |
|
) |
|
config.settings.lcm_diffusion_setting.diffusion_task = ( |
|
DiffusionTask.text_to_image.value |
|
) |
|
|
|
def store_dimension_settings(self): |
|
"""These values are only needed for OpenVINO model reshape""" |
|
self.previous_width = self.config.settings.lcm_diffusion_setting.image_width |
|
self.previous_height = self.config.settings.lcm_diffusion_setting.image_height |
|
self.previous_model = self.config.model_id |
|
self.previous_num_of_images = ( |
|
self.config.settings.lcm_diffusion_setting.number_of_images |
|
) |
|
|
