fastSD / frontend /gui /app_window.py
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from PyQt5.QtWidgets import (
QWidget,
QPushButton,
QHBoxLayout,
QVBoxLayout,
QLabel,
QLineEdit,
QMainWindow,
QSlider,
QTabWidget,
QSpacerItem,
QSizePolicy,
QComboBox,
QCheckBox,
QTextEdit,
QToolButton,
QFileDialog,
)
from PyQt5 import QtWidgets, QtCore
from PyQt5.QtGui import QPixmap, QDesktopServices
from PyQt5.QtCore import QSize, QThreadPool, Qt, QUrl
from PIL.ImageQt import ImageQt
from constants import (
LCM_DEFAULT_MODEL,
LCM_DEFAULT_MODEL_OPENVINO,
APP_NAME,
APP_VERSION,
)
from frontend.gui.image_generator_worker import ImageGeneratorWorker
from app_settings import AppSettings
from paths import FastStableDiffusionPaths
from frontend.utils import is_reshape_required
from context import Context
from models.interface_types import InterfaceType
from constants import DEVICE
from frontend.utils import enable_openvino_controls, get_valid_model_id
from backend.models.lcmdiffusion_setting import DiffusionTask
# DPI scale fix
QtWidgets.QApplication.setAttribute(QtCore.Qt.AA_EnableHighDpiScaling, True)
QtWidgets.QApplication.setAttribute(QtCore.Qt.AA_UseHighDpiPixmaps, True)
class MainWindow(QMainWindow):
def __init__(self, config: AppSettings):
super().__init__()
self.config = config
# Prevent saved LoRA and ControlNet settings from being used by
# default; in GUI mode, the user must explicitly enable those
if self.config.settings.lcm_diffusion_setting.lora:
self.config.settings.lcm_diffusion_setting.lora.enabled = False
if self.config.settings.lcm_diffusion_setting.controlnet:
self.config.settings.lcm_diffusion_setting.controlnet.enabled = False
self.setWindowTitle(APP_NAME)
self.setFixedSize(QSize(600, 670))
self.init_ui()
self.pipeline = None
self.threadpool = QThreadPool()
self.device = "cpu"
self.previous_width = 0
self.previous_height = 0
self.previous_model = ""
self.previous_num_of_images = 0
self.context = Context(InterfaceType.GUI)
self.init_ui_values()
self.gen_images = []
self.image_index = 0
print(f"Output path : { self.config.settings.generated_images.path}")
def init_ui_values(self):
self.lcm_model.setEnabled(
not self.config.settings.lcm_diffusion_setting.use_openvino
)
self.guidance.setValue(
int(self.config.settings.lcm_diffusion_setting.guidance_scale * 10)
)
self.seed_value.setEnabled(self.config.settings.lcm_diffusion_setting.use_seed)
self.safety_checker.setChecked(
self.config.settings.lcm_diffusion_setting.use_safety_checker
)
self.use_openvino_check.setChecked(
self.config.settings.lcm_diffusion_setting.use_openvino
)
self.width.setCurrentText(
str(self.config.settings.lcm_diffusion_setting.image_width)
)
self.height.setCurrentText(
str(self.config.settings.lcm_diffusion_setting.image_height)
)
self.inference_steps.setValue(
int(self.config.settings.lcm_diffusion_setting.inference_steps)
)
self.seed_check.setChecked(self.config.settings.lcm_diffusion_setting.use_seed)
self.seed_value.setText(str(self.config.settings.lcm_diffusion_setting.seed))
self.use_local_model_folder.setChecked(
self.config.settings.lcm_diffusion_setting.use_offline_model
)
self.results_path.setText(self.config.settings.generated_images.path)
self.num_images.setValue(
self.config.settings.lcm_diffusion_setting.number_of_images
)
self.use_tae_sd.setChecked(
self.config.settings.lcm_diffusion_setting.use_tiny_auto_encoder
)
self.use_lcm_lora.setChecked(
self.config.settings.lcm_diffusion_setting.use_lcm_lora
)
self.lcm_model.setCurrentText(
get_valid_model_id(
self.config.lcm_models,
self.config.settings.lcm_diffusion_setting.lcm_model_id,
LCM_DEFAULT_MODEL,
)
)
self.base_model_id.setCurrentText(
get_valid_model_id(
self.config.stable_diffsuion_models,
self.config.settings.lcm_diffusion_setting.lcm_lora.base_model_id,
)
)
self.lcm_lora_id.setCurrentText(
get_valid_model_id(
self.config.lcm_lora_models,
self.config.settings.lcm_diffusion_setting.lcm_lora.lcm_lora_id,
)
)
self.openvino_lcm_model_id.setCurrentText(
get_valid_model_id(
self.config.openvino_lcm_models,
self.config.settings.lcm_diffusion_setting.openvino_lcm_model_id,
LCM_DEFAULT_MODEL_OPENVINO,
)
)
self.neg_prompt.setEnabled(
self.config.settings.lcm_diffusion_setting.use_lcm_lora
or self.config.settings.lcm_diffusion_setting.use_openvino
)
self.openvino_lcm_model_id.setEnabled(
self.config.settings.lcm_diffusion_setting.use_openvino
)
def init_ui(self):
self.create_main_tab()
self.create_settings_tab()
self.create_about_tab()
self.show()
def create_main_tab(self):
self.img = QLabel("<<Image>>")
self.img.setAlignment(Qt.AlignCenter)
self.img.setFixedSize(QSize(512, 512))
self.vspacer = QSpacerItem(20, 40, QSizePolicy.Minimum, QSizePolicy.Expanding)
self.prompt = QTextEdit()
self.prompt.setPlaceholderText("A fantasy landscape")
self.prompt.setAcceptRichText(False)
self.neg_prompt = QTextEdit()
self.neg_prompt.setPlaceholderText("")
self.neg_prompt.setAcceptRichText(False)
self.neg_prompt_label = QLabel("Negative prompt (Set guidance scale > 1.0):")
self.generate = QPushButton("Generate")
self.generate.clicked.connect(self.text_to_image)
self.prompt.setFixedHeight(40)
self.neg_prompt.setFixedHeight(35)
self.browse_results = QPushButton("...")
self.browse_results.setFixedWidth(30)
self.browse_results.clicked.connect(self.on_open_results_folder)
self.browse_results.setToolTip("Open output folder")
hlayout = QHBoxLayout()
hlayout.addWidget(self.neg_prompt)
hlayout.addWidget(self.generate)
hlayout.addWidget(self.browse_results)
self.previous_img_btn = QToolButton()
self.previous_img_btn.setText("<")
self.previous_img_btn.clicked.connect(self.on_show_previous_image)
self.next_img_btn = QToolButton()
self.next_img_btn.setText(">")
self.next_img_btn.clicked.connect(self.on_show_next_image)
hlayout_nav = QHBoxLayout()
hlayout_nav.addWidget(self.previous_img_btn)
hlayout_nav.addWidget(self.img)
hlayout_nav.addWidget(self.next_img_btn)
vlayout = QVBoxLayout()
vlayout.addLayout(hlayout_nav)
vlayout.addItem(self.vspacer)
vlayout.addWidget(self.prompt)
vlayout.addWidget(self.neg_prompt_label)
vlayout.addLayout(hlayout)
self.tab_widget = QTabWidget(self)
self.tab_main = QWidget()
self.tab_settings = QWidget()
self.tab_about = QWidget()
self.tab_main.setLayout(vlayout)
self.tab_widget.addTab(self.tab_main, "Text to Image")
self.tab_widget.addTab(self.tab_settings, "Settings")
self.tab_widget.addTab(self.tab_about, "About")
self.setCentralWidget(self.tab_widget)
self.use_seed = False
def create_settings_tab(self):
self.lcm_model_label = QLabel("Latent Consistency Model:")
# self.lcm_model = QLineEdit(LCM_DEFAULT_MODEL)
self.lcm_model = QComboBox(self)
self.lcm_model.addItems(self.config.lcm_models)
self.lcm_model.currentIndexChanged.connect(self.on_lcm_model_changed)
self.use_lcm_lora = QCheckBox("Use LCM LoRA")
self.use_lcm_lora.setChecked(False)
self.use_lcm_lora.stateChanged.connect(self.use_lcm_lora_changed)
self.lora_base_model_id_label = QLabel("Lora base model ID :")
self.base_model_id = QComboBox(self)
self.base_model_id.addItems(self.config.stable_diffsuion_models)
self.base_model_id.currentIndexChanged.connect(self.on_base_model_id_changed)
self.lcm_lora_model_id_label = QLabel("LCM LoRA model ID :")
self.lcm_lora_id = QComboBox(self)
self.lcm_lora_id.addItems(self.config.lcm_lora_models)
self.lcm_lora_id.currentIndexChanged.connect(self.on_lcm_lora_id_changed)
self.inference_steps_value = QLabel("Number of inference steps: 4")
self.inference_steps = QSlider(orientation=Qt.Orientation.Horizontal)
self.inference_steps.setMaximum(25)
self.inference_steps.setMinimum(1)
self.inference_steps.setValue(4)
self.inference_steps.valueChanged.connect(self.update_steps_label)
self.num_images_value = QLabel("Number of images: 1")
self.num_images = QSlider(orientation=Qt.Orientation.Horizontal)
self.num_images.setMaximum(100)
self.num_images.setMinimum(1)
self.num_images.setValue(1)
self.num_images.valueChanged.connect(self.update_num_images_label)
self.guidance_value = QLabel("Guidance scale: 1")
self.guidance = QSlider(orientation=Qt.Orientation.Horizontal)
self.guidance.setMaximum(20)
self.guidance.setMinimum(10)
self.guidance.setValue(10)
self.guidance.valueChanged.connect(self.update_guidance_label)
self.width_value = QLabel("Width :")
self.width = QComboBox(self)
self.width.addItem("256")
self.width.addItem("512")
self.width.addItem("768")
self.width.addItem("1024")
self.width.setCurrentText("512")
self.width.currentIndexChanged.connect(self.on_width_changed)
self.height_value = QLabel("Height :")
self.height = QComboBox(self)
self.height.addItem("256")
self.height.addItem("512")
self.height.addItem("768")
self.height.addItem("1024")
self.height.setCurrentText("512")
self.height.currentIndexChanged.connect(self.on_height_changed)
self.seed_check = QCheckBox("Use seed")
self.seed_value = QLineEdit()
self.seed_value.setInputMask("9999999999")
self.seed_value.setText("123123")
self.seed_check.stateChanged.connect(self.seed_changed)
self.safety_checker = QCheckBox("Use safety checker")
self.safety_checker.setChecked(True)
self.safety_checker.stateChanged.connect(self.use_safety_checker_changed)
self.use_openvino_check = QCheckBox("Use OpenVINO")
self.use_openvino_check.setChecked(False)
self.openvino_model_label = QLabel("OpenVINO LCM model:")
self.use_local_model_folder = QCheckBox(
"Use locally cached model or downloaded model folder(offline)"
)
self.openvino_lcm_model_id = QComboBox(self)
self.openvino_lcm_model_id.addItems(self.config.openvino_lcm_models)
self.openvino_lcm_model_id.currentIndexChanged.connect(
self.on_openvino_lcm_model_id_changed
)
self.use_openvino_check.setEnabled(enable_openvino_controls())
self.use_local_model_folder.setChecked(False)
self.use_local_model_folder.stateChanged.connect(self.use_offline_model_changed)
self.use_openvino_check.stateChanged.connect(self.use_openvino_changed)
self.use_tae_sd = QCheckBox(
"Use Tiny Auto Encoder - TAESD (Fast, moderate quality)"
)
self.use_tae_sd.setChecked(False)
self.use_tae_sd.stateChanged.connect(self.use_tae_sd_changed)
hlayout = QHBoxLayout()
hlayout.addWidget(self.seed_check)
hlayout.addWidget(self.seed_value)
hspacer = QSpacerItem(20, 10, QSizePolicy.Expanding, QSizePolicy.Minimum)
slider_hspacer = QSpacerItem(20, 10, QSizePolicy.Expanding, QSizePolicy.Minimum)
self.results_path_label = QLabel("Output path:")
self.results_path = QLineEdit()
self.results_path.textChanged.connect(self.on_path_changed)
self.browse_folder_btn = QToolButton()
self.browse_folder_btn.setText("...")
self.browse_folder_btn.clicked.connect(self.on_browse_folder)
self.reset = QPushButton("Reset All")
self.reset.clicked.connect(self.reset_all_settings)
vlayout = QVBoxLayout()
vspacer = QSpacerItem(20, 20, QSizePolicy.Minimum, QSizePolicy.Expanding)
vlayout.addItem(hspacer)
vlayout.setSpacing(3)
vlayout.addWidget(self.lcm_model_label)
vlayout.addWidget(self.lcm_model)
vlayout.addWidget(self.use_local_model_folder)
vlayout.addWidget(self.use_lcm_lora)
vlayout.addWidget(self.lora_base_model_id_label)
vlayout.addWidget(self.base_model_id)
vlayout.addWidget(self.lcm_lora_model_id_label)
vlayout.addWidget(self.lcm_lora_id)
vlayout.addWidget(self.use_openvino_check)
vlayout.addWidget(self.openvino_model_label)
vlayout.addWidget(self.openvino_lcm_model_id)
vlayout.addWidget(self.use_tae_sd)
vlayout.addItem(slider_hspacer)
vlayout.addWidget(self.inference_steps_value)
vlayout.addWidget(self.inference_steps)
vlayout.addWidget(self.num_images_value)
vlayout.addWidget(self.num_images)
vlayout.addWidget(self.width_value)
vlayout.addWidget(self.width)
vlayout.addWidget(self.height_value)
vlayout.addWidget(self.height)
vlayout.addWidget(self.guidance_value)
vlayout.addWidget(self.guidance)
vlayout.addLayout(hlayout)
vlayout.addWidget(self.safety_checker)
vlayout.addWidget(self.results_path_label)
hlayout_path = QHBoxLayout()
hlayout_path.addWidget(self.results_path)
hlayout_path.addWidget(self.browse_folder_btn)
vlayout.addLayout(hlayout_path)
self.tab_settings.setLayout(vlayout)
hlayout_reset = QHBoxLayout()
hspacer = QSpacerItem(20, 20, QSizePolicy.Expanding, QSizePolicy.Minimum)
hlayout_reset.addItem(hspacer)
hlayout_reset.addWidget(self.reset)
vlayout.addLayout(hlayout_reset)
vlayout.addItem(vspacer)
def create_about_tab(self):
self.label = QLabel()
self.label.setAlignment(Qt.AlignCenter)
self.label.setText(
f"""<h1>FastSD CPU {APP_VERSION}</h1>
<h3>(c)2023 - 2024 Rupesh Sreeraman</h3>
<h3>Faster stable diffusion on CPU</h3>
<h3>Based on Latent Consistency Models</h3>
<h3>GitHub : https://github.com/rupeshs/fastsdcpu/</h3>"""
)
vlayout = QVBoxLayout()
vlayout.addWidget(self.label)
self.tab_about.setLayout(vlayout)
def show_image(self, pixmap):
image_width = self.config.settings.lcm_diffusion_setting.image_width
image_height = self.config.settings.lcm_diffusion_setting.image_height
if image_width > 512 or image_height > 512:
new_width = 512 if image_width > 512 else image_width
new_height = 512 if image_height > 512 else image_height
self.img.setPixmap(
pixmap.scaled(
new_width,
new_height,
Qt.KeepAspectRatio,
)
)
else:
self.img.setPixmap(pixmap)
def on_show_next_image(self):
if self.image_index != len(self.gen_images) - 1 and len(self.gen_images) > 0:
self.previous_img_btn.setEnabled(True)
self.image_index += 1
self.show_image(self.gen_images[self.image_index])
if self.image_index == len(self.gen_images) - 1:
self.next_img_btn.setEnabled(False)
def on_open_results_folder(self):
QDesktopServices.openUrl(
QUrl.fromLocalFile(self.config.settings.generated_images.path)
)
def on_show_previous_image(self):
if self.image_index != 0:
self.next_img_btn.setEnabled(True)
self.image_index -= 1
self.show_image(self.gen_images[self.image_index])
if self.image_index == 0:
self.previous_img_btn.setEnabled(False)
def on_path_changed(self, text):
self.config.settings.generated_images.path = text
def on_browse_folder(self):
options = QFileDialog.Options()
options |= QFileDialog.ShowDirsOnly
folder_path = QFileDialog.getExistingDirectory(
self, "Select a Folder", "", options=options
)
if folder_path:
self.config.settings.generated_images.path = folder_path
self.results_path.setText(folder_path)
def on_width_changed(self, index):
width_txt = self.width.itemText(index)
self.config.settings.lcm_diffusion_setting.image_width = int(width_txt)
def on_height_changed(self, index):
height_txt = self.height.itemText(index)
self.config.settings.lcm_diffusion_setting.image_height = int(height_txt)
def on_lcm_model_changed(self, index):
model_id = self.lcm_model.itemText(index)
self.config.settings.lcm_diffusion_setting.lcm_model_id = model_id
def on_base_model_id_changed(self, index):
model_id = self.base_model_id.itemText(index)
self.config.settings.lcm_diffusion_setting.lcm_lora.base_model_id = model_id
def on_lcm_lora_id_changed(self, index):
model_id = self.lcm_lora_id.itemText(index)
self.config.settings.lcm_diffusion_setting.lcm_lora.lcm_lora_id = model_id
def on_openvino_lcm_model_id_changed(self, index):
model_id = self.openvino_lcm_model_id.itemText(index)
self.config.settings.lcm_diffusion_setting.openvino_lcm_model_id = model_id
def use_openvino_changed(self, state):
if state == 2:
self.lcm_model.setEnabled(False)
self.use_lcm_lora.setEnabled(False)
self.lcm_lora_id.setEnabled(False)
self.base_model_id.setEnabled(False)
self.neg_prompt.setEnabled(True)
self.openvino_lcm_model_id.setEnabled(True)
self.config.settings.lcm_diffusion_setting.use_openvino = True
else:
self.lcm_model.setEnabled(True)
self.use_lcm_lora.setEnabled(True)
self.lcm_lora_id.setEnabled(True)
self.base_model_id.setEnabled(True)
self.neg_prompt.setEnabled(False)
self.openvino_lcm_model_id.setEnabled(False)
self.config.settings.lcm_diffusion_setting.use_openvino = False
def use_tae_sd_changed(self, state):
if state == 2:
self.config.settings.lcm_diffusion_setting.use_tiny_auto_encoder = True
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
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.neg_prompt.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.neg_prompt.setEnabled(False)
self.config.settings.lcm_diffusion_setting.use_lcm_lora = False
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 generate_image(self):
self.config.settings.lcm_diffusion_setting.seed = self.get_seed_value()
self.config.settings.lcm_diffusion_setting.prompt = self.prompt.toPlainText()
self.config.settings.lcm_diffusion_setting.negative_prompt = (
self.neg_prompt.toPlainText()
)
self.config.settings.lcm_diffusion_setting.lcm_lora.lcm_lora_id = (
self.lcm_lora_id.currentText()
)
self.config.settings.lcm_diffusion_setting.lcm_lora.base_model_id = (
self.base_model_id.currentText()
)
if self.config.settings.lcm_diffusion_setting.use_openvino:
model_id = self.openvino_lcm_model_id.currentText()
self.config.settings.lcm_diffusion_setting.openvino_lcm_model_id = model_id
else:
model_id = self.lcm_model.currentText()
self.config.settings.lcm_diffusion_setting.lcm_model_id = model_id
reshape_required = False
if self.config.settings.lcm_diffusion_setting.use_openvino:
# Detect dimension change
reshape_required = is_reshape_required(
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,
model_id,
self.previous_num_of_images,
self.config.settings.lcm_diffusion_setting.number_of_images,
)
self.config.settings.lcm_diffusion_setting.diffusion_task = (
DiffusionTask.text_to_image.value
)
images = self.context.generate_text_to_image(
self.config.settings,
reshape_required,
DEVICE,
)
self.image_index = 0
self.gen_images = []
for img in images:
im = ImageQt(img).copy()
pixmap = QPixmap.fromImage(im)
self.gen_images.append(pixmap)
if len(self.gen_images) > 1:
self.next_img_btn.setEnabled(True)
self.previous_img_btn.setEnabled(False)
else:
self.next_img_btn.setEnabled(False)
self.previous_img_btn.setEnabled(False)
self.show_image(self.gen_images[0])
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 = model_id
self.previous_num_of_images = (
self.config.settings.lcm_diffusion_setting.number_of_images
)
def text_to_image(self):
self.img.setText("Please wait...")
worker = ImageGeneratorWorker(self.generate_image)
self.threadpool.start(worker)
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.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)