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import json
from pathlib import Path
from PySide6.QtCore import QRectF, QSize, Qt, QTimer, QUrl
from PySide6.QtGui import QColor, QDesktopServices, QIcon, QImageReader, QPainter, QPainterPath, QPixmap
from PySide6.QtWidgets import (
QAbstractItemView,
QComboBox,
QCheckBox,
QDoubleSpinBox,
QDialog,
QDialogButtonBox,
QFileDialog,
QFrame,
QGridLayout,
QGroupBox,
QHBoxLayout,
QLabel,
QLineEdit,
QListWidget,
QListWidgetItem,
QMessageBox,
QPlainTextEdit,
QPushButton,
QScrollArea,
QSplitter,
QSpinBox,
QVBoxLayout,
QWidget,
)
from adam.assets import Asset, AssetRegistry
from adam.config import ConfigManager
from adam.generations import (
GenerationRecord,
build_generation_plan,
generation_tools,
generation_model_key,
group_generation_records,
load_generation_history,
combine_generation_plans,
)
from adam.image_preferences import PreferenceProfile, score_generated_images
from adam.job_manager import JobManager
from adam.models import Job, JobStatus
from adam.registry import ToolRegistry, ToolSpec
from adam.ui.settings_ui import SettingsForm
def _card() -> QFrame:
frame = QFrame()
frame.setProperty("card", True)
return frame
def _title(text: str) -> QLabel:
label = QLabel(text)
label.setObjectName("CardTitle")
return label
def _header(title: str, subtitle: str) -> QWidget:
widget = QWidget()
layout = QVBoxLayout(widget)
layout.setContentsMargins(0, 0, 0, 10)
heading = QLabel(title)
heading.setObjectName("PageTitle")
detail = QLabel(subtitle)
detail.setProperty("muted", True)
detail.setWordWrap(True)
layout.addWidget(heading)
layout.addWidget(detail)
return widget
def _thumbnail(path: Path, width: int, height: int) -> QPixmap:
reader = QImageReader(str(path))
reader.setAutoTransform(True)
source_size = reader.size()
if source_size.isValid():
source_size.scale(QSize(width, height), Qt.KeepAspectRatio)
reader.setScaledSize(source_size)
image = reader.read()
return QPixmap.fromImage(image) if not image.isNull() else QPixmap()
def _folder_cover(path: Path | None, width: int = 176, height: int = 118) -> QPixmap:
"""Draw a compact folder tile with a generated image set into its face."""
canvas = QPixmap(width, height)
canvas.fill(Qt.transparent)
painter = QPainter(canvas)
painter.setRenderHint(QPainter.Antialiasing)
painter.setPen(Qt.NoPen)
painter.setBrush(QColor("#236a9d"))
painter.drawRoundedRect(QRectF(8, 7, 72, 28), 7, 7)
painter.setBrush(QColor("#174f78"))
painter.drawRoundedRect(QRectF(5, 23, width - 10, height - 28), 9, 9)
inset = QPainterPath()
inset.addRoundedRect(QRectF(12, 30, width - 24, height - 42), 6, 6)
painter.setClipPath(inset)
if path is not None:
cover = _thumbnail(path, width - 24, height - 42)
if not cover.isNull():
scaled = cover.scaled(
width - 24, height - 42, Qt.KeepAspectRatioByExpanding,
Qt.SmoothTransformation,
)
x = 12 + (width - 24 - scaled.width()) // 2
y = 30 + (height - 42 - scaled.height()) // 2
painter.drawPixmap(x, y, scaled)
painter.setClipping(False)
painter.setPen(QColor("#55b8ff"))
painter.setBrush(Qt.NoBrush)
painter.drawRoundedRect(QRectF(5.5, 23.5, width - 11, height - 29), 9, 9)
painter.end()
return canvas
class GenerationCycleDialog(QDialog):
"""Choose several completed models and shared playback settings."""
def __init__(self, entries: list[dict], parent: QWidget | None = None) -> None:
super().__init__(parent)
self.entries = entries
self.setWindowTitle("Generation Cycle")
self.setMinimumSize(600, 560)
layout = QVBoxLayout(self)
layout.addWidget(_header(
"Generation Cycle",
"Select completed models. ADAM will generate each batch sequentially, then play the results as a labeled slideshow.",
))
self.models = QListWidget()
self.models.setSelectionMode(QAbstractItemView.MultiSelection)
for index, entry in enumerate(entries):
item = QListWidgetItem(f"{entry['name']} — {entry['trainer_label']}")
item.setData(Qt.UserRole, index)
self.models.addItem(item)
selection_buttons = QHBoxLayout()
select_all = QPushButton("Select all")
clear = QPushButton("Clear")
select_all.clicked.connect(self.models.selectAll)
clear.clicked.connect(self.models.clearSelection)
selection_buttons.addWidget(select_all); selection_buttons.addWidget(clear); selection_buttons.addStretch()
layout.addLayout(selection_buttons)
layout.addWidget(self.models, 1)
form = QGridLayout()
self.image_count = QSpinBox(); self.image_count.setRange(1, 48); self.image_count.setValue(4)
self.display_seconds = QSpinBox(); self.display_seconds.setRange(1, 300); self.display_seconds.setValue(5); self.display_seconds.setSuffix(" seconds")
self.seed = QSpinBox(); self.seed.setRange(0, 2_147_000_000); self.seed.setValue(123456)
self.prompt = QLineEdit(); self.prompt.setPlaceholderText("Optional shared prompt or creative note")
self.show_labels = QCheckBox("Show model and trainer in the bottom-left corner"); self.show_labels.setChecked(True)
self.loop = QCheckBox("Loop the slideshow until closed")
self.fullscreen = QCheckBox("Start playback in fullscreen")
for row, (label, widget) in enumerate((
("Images per model", self.image_count),
("Display each image", self.display_seconds),
("Starting seed", self.seed),
("Shared prompt / note", self.prompt),
)):
form.addWidget(QLabel(label), row, 0); form.addWidget(widget, row, 1)
layout.addLayout(form)
layout.addWidget(self.show_labels); layout.addWidget(self.loop); layout.addWidget(self.fullscreen)
self.validation = QLabel(); self.validation.setProperty("muted", True); self.validation.setWordWrap(True)
layout.addWidget(self.validation)
buttons = QDialogButtonBox(QDialogButtonBox.Cancel | QDialogButtonBox.Ok)
buttons.button(QDialogButtonBox.Ok).setText("Queue generation cycle")
buttons.accepted.connect(self._accept); buttons.rejected.connect(self.reject)
layout.addWidget(buttons)
def _accept(self) -> None:
if not self.models.selectedItems():
self.validation.setText("Select at least one completed model.")
return
self.accept()
def selected_entries(self) -> list[dict]:
selected = {int(item.data(Qt.UserRole)) for item in self.models.selectedItems()}
return [entry for index, entry in enumerate(self.entries) if index in selected]
class CycleSlideshowDialog(QDialog):
"""Simple local slideshow for a completed multi-model generation cycle."""
def __init__(
self,
slides: list[tuple[Path, str]],
*,
display_seconds: int,
show_labels: bool,
loop: bool,
parent: QWidget | None = None,
) -> None:
super().__init__(parent)
self.slides = slides
self.index = 0
self.show_labels = show_labels
self.loop = loop
self.setWindowTitle("Generation Cycle Playback")
self.setMinimumSize(800, 560)
self.setStyleSheet("background: #02070b;")
layout = QVBoxLayout(self)
layout.setContentsMargins(0, 0, 0, 0)
self.image = QLabel()
self.image.setAlignment(Qt.AlignCenter)
self.image.setMinimumSize(500, 350)
self.overlay = QLabel(self.image)
self.overlay.setStyleSheet(
"background: rgba(0, 0, 0, 180); color: white; padding: 8px 12px; "
"border-radius: 5px; font-weight: 600;"
)
layout.addWidget(self.image, 1)
controls = QHBoxLayout()
self.previous = QPushButton("Previous")
self.caption = QLabel(); self.caption.setAlignment(Qt.AlignCenter)
self.next = QPushButton("Next")
close = QPushButton("Close")
controls.addWidget(self.previous); controls.addWidget(self.caption, 1); controls.addWidget(self.next); controls.addWidget(close)
layout.addLayout(controls)
self.previous.clicked.connect(self._previous); self.next.clicked.connect(self._next); close.clicked.connect(self.accept)
self.timer = QTimer(self)
self.timer.setInterval(max(1, int(display_seconds)) * 1000)
self.timer.timeout.connect(self._next)
self._show_slide()
self.timer.start()
def resizeEvent(self, event) -> None:
super().resizeEvent(event)
self._show_slide()
def _show_slide(self) -> None:
if not self.slides:
return
path, label = self.slides[self.index]
pixmap = QPixmap(str(path))
if not pixmap.isNull():
self.image.setPixmap(pixmap.scaled(self.image.size(), Qt.KeepAspectRatio, Qt.SmoothTransformation))
else:
self.image.setText(f"Could not display {path.name}")
self.caption.setText(f"Image {self.index + 1} of {len(self.slides)}")
self.overlay.setText(label)
self.overlay.adjustSize()
self.overlay.move(18, max(18, self.image.height() - self.overlay.height() - 18))
self.overlay.setVisible(self.show_labels)
def _previous(self) -> None:
self.index = (self.index - 1) % len(self.slides)
self._show_slide()
def _next(self) -> None:
if self.index + 1 >= len(self.slides) and not self.loop:
self.timer.stop()
return
self.index = (self.index + 1) % len(self.slides)
self._show_slide()
class GenerationsPage(QWidget):
"""Generate with registered providers and revisit reproducible output batches."""
def __init__(
self,
root: Path,
registry: ToolRegistry,
jobs: JobManager,
assets: AssetRegistry,
config: ConfigManager,
) -> None:
super().__init__()
self.root = root.resolve()
self.registry = registry
self.jobs = jobs
self.assets = assets
self.config = config
self.records: list[GenerationRecord] = []
self.hidden_history_images: set[str] = set()
self._cycle_jobs: dict[str, dict] = {}
self._history_load_token = 0
self._history_load_index = 0
self._history_entries: list[tuple[int, int, Path]] = []
self._history_selected_image = ""
self._active_model_folder = ""
layout = QVBoxLayout(self)
layout.setContentsMargins(22, 18, 22, 18)
layout.setSpacing(12)
header_row = QHBoxLayout()
header_row.addWidget(
_header(
"Generations",
"Create images with compatible registered tools, then revisit every seed and setting.",
), 1
)
self.cycle_button = QPushButton("Generation Cycle…")
self.cycle_button.setProperty("primary", True)
header_row.addWidget(self.cycle_button)
layout.addLayout(header_row)
body = QSplitter(Qt.Horizontal)
body.setChildrenCollapsible(False)
body.addWidget(self._build_controls())
body.addWidget(self._build_history())
body.setStretchFactor(0, 0)
body.setStretchFactor(1, 1)
body.setSizes([430, 1000])
layout.addWidget(body, 1)
self.provider.currentIndexChanged.connect(self._provider_changed)
self.model.currentIndexChanged.connect(self._model_changed)
self.preset.currentIndexChanged.connect(self._apply_preset)
self.aspect.currentTextChanged.connect(self._lora_aspect_changed)
self.generate_button.clicked.connect(self._generate)
self.refresh_button.clicked.connect(self.refresh)
self.gallery.currentItemChanged.connect(self._selection_changed)
self.gallery.itemDoubleClicked.connect(lambda _item: self._open_image())
self.model_folders.itemDoubleClicked.connect(self._open_model_folder)
self.folder_back_button.clicked.connect(self._show_model_folders)
self.open_image_button.clicked.connect(self._open_image)
self.open_folder_button.clicked.connect(self._open_folder)
self.reuse_button.clicked.connect(self._reuse_settings)
self.clear_history_button.clicked.connect(self._clear_displayed_history)
self.auto_sort_button.clicked.connect(self._auto_sort_history)
self.random_seed_button.clicked.connect(lambda: self.seed.clear())
self.jobs.job_updated.connect(self._job_updated)
self.cycle_button.clicked.connect(self._open_generation_cycle)
self.refresh()
self._restore_generation_settings()
self._connect_generation_setting_persistence()
def _build_controls(self) -> QFrame:
card = _card()
card.setMinimumWidth(340)
outer_layout = QVBoxLayout(card)
outer_layout.setContentsMargins(0, 0, 0, 0)
scroll = QScrollArea()
scroll.setWidgetResizable(True)
scroll.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff)
scroll.setFrameShape(QFrame.NoFrame)
content = QWidget()
scroll.setWidget(content)
outer_layout.addWidget(scroll)
layout = QVBoxLayout(content)
layout.setContentsMargins(16, 15, 16, 16)
layout.setSpacing(9)
layout.addWidget(_title("CREATE A BATCH"))
layout.addWidget(QLabel("Registered generator"))
self.provider = QComboBox()
layout.addWidget(self.provider)
layout.addWidget(QLabel("Completed model"))
model_row = QHBoxLayout()
self.model = QComboBox()
self.refresh_button = QPushButton("Refresh")
self.model_browse_button = QPushButton("Browse LoRA")
self.model_browse_button.setVisible(False)
self.model_browse_button.clicked.connect(self._browse_lora)
model_row.addWidget(self.model, 1)
model_row.addWidget(self.model_browse_button)
model_row.addWidget(self.refresh_button)
layout.addLayout(model_row)
self.model_hint = QLabel("Select a registered generator and model.")
self.model_hint.setProperty("muted", True)
self.model_hint.setWordWrap(True)
layout.addWidget(self.model_hint)
self.prompt_label = QLabel("Label / creative note")
layout.addWidget(self.prompt_label)
self.prompt = QPlainTextEdit()
self.prompt.setMaximumHeight(78)
self.prompt.setPlaceholderText(
"Optional note describing what you are exploring. Unconditional generators save it with the batch but do not use it as a text prompt."
)
layout.addWidget(self.prompt)
self.lora_options = QFrame()
lora_layout = QGridLayout(self.lora_options)
lora_layout.setContentsMargins(0, 0, 0, 0)
lora_layout.setHorizontalSpacing(8)
lora_layout.setVerticalSpacing(6)
lora_layout.addWidget(QLabel("Base model"), 0, 0)
self.base_model = QComboBox()
self.base_model.setEditable(True)
self.base_model.setInsertPolicy(QComboBox.NoInsert)
lora_layout.addWidget(self.base_model, 0, 1)
lora_layout.addWidget(QLabel("Negative prompt"), 1, 0)
self.negative_prompt = QPlainTextEdit()
self.negative_prompt.setMaximumHeight(62)
lora_layout.addWidget(self.negative_prompt, 1, 1)
lora_layout.addWidget(QLabel("Width"), 2, 0)
self.width = QSpinBox()
self.width.setRange(256, 2048)
self.width.setSingleStep(8)
lora_layout.addWidget(self.width, 2, 1)
lora_layout.addWidget(QLabel("Height"), 3, 0)
self.height = QSpinBox()
self.height.setRange(256, 2048)
self.height.setSingleStep(8)
lora_layout.addWidget(self.height, 3, 1)
lora_layout.addWidget(QLabel("CFG scale"), 4, 0)
self.cfg_scale = QDoubleSpinBox()
self.cfg_scale.setRange(0.1, 30.0)
self.cfg_scale.setSingleStep(0.5)
self.cfg_scale.setDecimals(2)
lora_layout.addWidget(self.cfg_scale, 4, 1)
lora_layout.addWidget(QLabel("LoRA strength"), 5, 0)
self.lora_strength = QDoubleSpinBox()
self.lora_strength.setRange(0.05, 3.0)
self.lora_strength.setSingleStep(0.05)
self.lora_strength.setDecimals(2)
lora_layout.addWidget(self.lora_strength, 5, 1)
lora_layout.addWidget(QLabel("Reference image"), 6, 0)
reference_row = QHBoxLayout()
self.reference_image = QLineEdit()
self.reference_browse = QPushButton("Browse")
self.reference_browse.clicked.connect(self._browse_reference)
reference_row.addWidget(self.reference_image, 1)
reference_row.addWidget(self.reference_browse)
lora_layout.addLayout(reference_row, 6, 1)
lora_layout.addWidget(QLabel("Denoise strength"), 7, 0)
self.denoise_strength = QDoubleSpinBox()
self.denoise_strength.setRange(0.0, 1.0)
self.denoise_strength.setSingleStep(0.05)
self.denoise_strength.setDecimals(2)
lora_layout.addWidget(self.denoise_strength, 7, 1)
self.prompt_weighting = QCheckBox("Use CivitAI/A1111 prompt weights")
lora_layout.addWidget(self.prompt_weighting, 8, 0, 1, 2)
self.lora_options.setVisible(False)
layout.addWidget(self.lora_options)
self.ddpm_reference_options = QFrame()
ddpm_reference_layout = QGridLayout(self.ddpm_reference_options)
ddpm_reference_layout.setContentsMargins(0, 0, 0, 0)
ddpm_reference_layout.setHorizontalSpacing(8)
ddpm_reference_layout.setVerticalSpacing(6)
ddpm_reference_layout.addWidget(QLabel("Reference image"), 0, 0)
ddpm_reference_row = QHBoxLayout()
self.ddpm_reference_image = QLineEdit()
self.ddpm_reference_image.setPlaceholderText("Optional image to reimagine")
self.ddpm_reference_browse = QPushButton("Browse")
self.ddpm_reference_browse.clicked.connect(self._browse_ddpm_reference)
ddpm_reference_row.addWidget(self.ddpm_reference_image, 1)
ddpm_reference_row.addWidget(self.ddpm_reference_browse)
ddpm_reference_layout.addLayout(ddpm_reference_row, 0, 1)
ddpm_reference_layout.addWidget(QLabel("Reference strength"), 1, 0)
self.ddpm_reference_strength = QSpinBox()
self.ddpm_reference_strength.setRange(0, 100)
self.ddpm_reference_strength.setSuffix("%")
self.ddpm_reference_strength.setValue(65)
self.ddpm_reference_strength.setToolTip(
"0% mostly ignores the image; 100% preserves it as closely as possible."
)
ddpm_reference_layout.addWidget(self.ddpm_reference_strength, 1, 1)
self.ddpm_custom_size = QCheckBox("Use custom dimensions")
self.ddpm_custom_size.setToolTip(
"Use exact dimensions instead of the selected aspect ratio. Both values must match the model's required size multiple."
)
self.ddpm_custom_size.toggled.connect(self._ddpm_custom_size_changed)
ddpm_reference_layout.addWidget(self.ddpm_custom_size, 2, 0, 1, 2)
ddpm_reference_layout.addWidget(QLabel("Width"), 3, 0)
self.ddpm_width = QSpinBox()
self.ddpm_width.setRange(64, 2048)
self.ddpm_width.setSingleStep(8)
self.ddpm_width.setValue(256)
self.ddpm_width.setSuffix(" px")
ddpm_reference_layout.addWidget(self.ddpm_width, 3, 1)
ddpm_reference_layout.addWidget(QLabel("Height"), 4, 0)
self.ddpm_height = QSpinBox()
self.ddpm_height.setRange(64, 2048)
self.ddpm_height.setSingleStep(8)
self.ddpm_height.setValue(256)
self.ddpm_height.setSuffix(" px")
ddpm_reference_layout.addWidget(self.ddpm_height, 4, 1)
self._ddpm_custom_size_changed(False)
self.ddpm_reference_options.setVisible(False)
layout.addWidget(self.ddpm_reference_options)
self.plugin_generation_group = QGroupBox("Model-specific settings")
plugin_generation_layout = QVBoxLayout(self.plugin_generation_group)
self.plugin_generation_form = SettingsForm()
plugin_generation_layout.addWidget(self.plugin_generation_form)
self.plugin_generation_group.setVisible(False)
layout.addWidget(self.plugin_generation_group)
grid = QGridLayout()
grid.setHorizontalSpacing(8)
grid.setVerticalSpacing(6)
self.preset = QComboBox()
self.preset.addItems(["Balanced", "Fast preview", "Detailed", "Classic"])
self.images = QSpinBox()
self.images.setRange(1, 48)
self.images.setValue(1)
self.steps = QSpinBox()
self.steps.setRange(5, 500)
self.steps.setValue(50)
self.preview_interval = QSpinBox()
self.preview_interval.setRange(0, 500)
self.preview_interval.setValue(0)
self.preview_interval.setSpecialValueText("Off")
self.preview_interval.setSuffix(" steps")
self.preview_interval.setToolTip(
"Decode and show a live preview after this many denoising steps. Smaller intervals can make generation slower."
)
self.sampler = QComboBox()
self.sampler.addItems(["DDIM", "DDPM"])
self.aspect = QComboBox()
self.aspect.addItems(
[
"1:1 (Square)",
"16:9 (Widescreen)",
"9:16 (Portrait)",
"4:3 (Classic)",
"3:4 (Portrait Classic)",
"3:2 (Photo)",
"2:3 (Portrait Photo)",
]
)
fields = [
("Preset", self.preset),
("Images", self.images),
("Steps", self.steps),
("Steps / preview", self.preview_interval),
("Sampler", self.sampler),
("Aspect ratio", self.aspect),
]
for row, (label, widget) in enumerate(fields):
grid.addWidget(QLabel(label), row, 0)
grid.addWidget(widget, row, 1)
layout.addLayout(grid)
layout.addWidget(QLabel("Seed"))
seed_row = QHBoxLayout()
self.seed = QLineEdit()
self.seed.setPlaceholderText("Random")
self.random_seed_button = QPushButton("Randomize")
seed_row.addWidget(self.seed, 1)
seed_row.addWidget(self.random_seed_button)
layout.addLayout(seed_row)
self.smart_group = QGroupBox("Smart Generation")
smart_layout = QGridLayout(self.smart_group)
self.smart_enabled = QCheckBox("Smart Generation")
self.smart_wanted = QSpinBox()
self.smart_wanted.setRange(1, 48)
self.smart_wanted.setValue(8)
self.smart_max_candidates = QSpinBox()
self.smart_max_candidates.setRange(1, 256)
self.smart_max_candidates.setValue(32)
self.smart_min_score = QDoubleSpinBox()
self.smart_min_score.setRange(0.0, 1.0)
self.smart_min_score.setSingleStep(0.05)
self.smart_min_score.setDecimals(2)
self.smart_min_score.setValue(0.70)
self.smart_mode = QComboBox()
self.smart_mode.addItem("Stop at threshold", "threshold")
self.smart_mode.addItem("Rank fixed pool", "top_n")
self.smart_keep_rejected = QCheckBox("Keep rejected candidates for review")
self.smart_keep_rejected.setChecked(True)
smart_layout.addWidget(self.smart_enabled, 0, 0, 1, 2)
for row, (label, widget) in enumerate((
("Wanted results", self.smart_wanted),
("Maximum candidates", self.smart_max_candidates),
("Minimum score", self.smart_min_score),
("Mode", self.smart_mode),
), 1):
smart_layout.addWidget(QLabel(label), row, 0)
smart_layout.addWidget(widget, row, 1)
smart_layout.addWidget(self.smart_keep_rejected, 5, 0, 1, 2)
self.smart_group.setVisible(False)
layout.addWidget(self.smart_group)
self.generate_button = QPushButton("Generate images →")
self.generate_button.setProperty("primary", True)
layout.addWidget(self.generate_button)
self.status = QLabel("Ready")
self.status.setProperty("muted", True)
self.status.setWordWrap(True)
layout.addWidget(self.status)
layout.addStretch()
return card
def _build_history(self) -> QFrame:
card = _card()
layout = QVBoxLayout(card)
layout.setContentsMargins(16, 15, 16, 16)
layout.setSpacing(9)
top = QHBoxLayout()
self.history_title = _title("MODEL FOLDERS")
top.addWidget(self.history_title)
self.folder_back_button = QPushButton("← All models")
self.folder_back_button.setVisible(False)
top.addWidget(self.folder_back_button)
top.addStretch()
self.history_summary = QLabel("No generations yet")
self.history_summary.setProperty("muted", True)
top.addWidget(self.history_summary)
self.clear_history_button = QPushButton("Clear displayed")
self.clear_history_button.setToolTip(
"Hide the displayed thumbnails without deleting generation records or image files."
)
self.clear_history_button.setEnabled(False)
top.addWidget(self.clear_history_button)
self.auto_sort_button = QPushButton("Auto Sort")
self.auto_sort_button.setToolTip(
"Score visible generations against their model preference profiles and show stronger matches first."
)
top.addWidget(self.auto_sort_button)
layout.addLayout(top)
self.generation_target = QLabel(
"Double-click a model folder to browse its images and generate with that model."
)
self.generation_target.setProperty("muted", True)
self.generation_target.setWordWrap(True)
layout.addWidget(self.generation_target)
self.model_folders = QListWidget()
self.model_folders.setViewMode(QListWidget.IconMode)
self.model_folders.setIconSize(QSize(176, 118))
self.model_folders.setGridSize(QSize(220, 184))
self.model_folders.setResizeMode(QListWidget.Adjust)
self.model_folders.setSelectionMode(QAbstractItemView.SingleSelection)
layout.addWidget(self.model_folders, 1)
self.gallery = QListWidget()
self.gallery.setViewMode(QListWidget.IconMode)
self.gallery.setIconSize(QSize(170, 128))
self.gallery.setGridSize(QSize(205, 188))
self.gallery.setResizeMode(QListWidget.Adjust)
self.gallery.setSelectionMode(QAbstractItemView.SingleSelection)
layout.addWidget(self.gallery, 1)
self.gallery.setVisible(False)
self.image_detail_panel = QWidget()
image_detail_layout = QVBoxLayout(self.image_detail_panel)
image_detail_layout.setContentsMargins(0, 0, 0, 0)
image_detail_layout.setSpacing(7)
self.detail = QLabel("Select an image to see its reproducibility settings.")
self.detail.setProperty("muted", True)
self.detail.setWordWrap(True)
image_detail_layout.addWidget(self.detail)
rating_row = QHBoxLayout()
self.favorite_button = QPushButton("Favorite")
self.keep_button = QPushButton("Keep")
self.unsure_button = QPushButton("Unsure")
self.reject_button = QPushButton("Reject")
for button, rating in (
(self.favorite_button, "favorite"),
(self.keep_button, "keep"),
(self.unsure_button, "unsure"),
(self.reject_button, "reject"),
):
button.setEnabled(False)
button.clicked.connect(lambda _checked=False, value=rating: self._rate_selection(value))
rating_row.addWidget(button)
rating_row.addStretch()
image_detail_layout.addLayout(rating_row)
actions = QHBoxLayout()
self.open_image_button = QPushButton("Open image")
self.open_folder_button = QPushButton("Open folder")
self.reuse_button = QPushButton("Reuse settings")
for button in (
self.open_image_button,
self.open_folder_button,
self.reuse_button,
):
button.setEnabled(False)
actions.addWidget(button)
actions.addStretch()
image_detail_layout.addLayout(actions)
layout.addWidget(self.image_detail_panel)
self.image_detail_panel.setVisible(False)
return card
def refresh(self) -> None:
selected_provider = self.provider.currentData()
selected_model = self.model.currentData()
self.assets.discover(self.config)
self.provider.blockSignals(True)
self.provider.clear()
for tool in generation_tools(self.registry):
self.provider.addItem(tool.name, tool.id)
if selected_provider:
index = self.provider.findData(selected_provider)
if index >= 0:
self.provider.setCurrentIndex(index)
self.provider.blockSignals(False)
self._provider_changed()
if selected_model:
index = self.model.findData(selected_model)
if index >= 0:
self.model.setCurrentIndex(index)
self._load_history()
def _current_tool(self) -> ToolSpec | None:
tool_id = self.provider.currentData()
if not tool_id:
return None
try:
return self.registry.get(str(tool_id))
except Exception:
return None
def _provider_changed(self) -> None:
tool = self._current_tool()
current_path = self.model.currentData()
self.model.blockSignals(True)
self.model.clear()
if tool:
candidates = [
asset
for asset in self.assets.assets
if asset.kind == "model"
and (not tool.model_trainers or asset.trainer in tool.model_trainers)
and self._model_is_ready(asset)
]
for asset in candidates:
self.model.addItem(asset.name, asset.path)
if current_path:
index = self.model.findData(current_path)
if index >= 0:
self.model.setCurrentIndex(index)
options = tool.generation_options
samplers = [str(item) for item in options.get("samplers", [])]
aspects = [str(item) for item in options.get("aspect_ratios", [])]
self.sampler.clear()
self.sampler.addItems(samplers or ["DDIM", "DDPM"])
self.aspect.clear()
self.aspect.addItems(aspects or ["1:1 (Square)"])
step_min = int(options.get("step_min", 5) or 5)
step_max = int(options.get("step_max", 500) or 500)
self.steps.setRange(step_min, step_max)
self.steps.setValue(
max(step_min, min(int(options.get("step_default", 50) or 50), step_max))
)
self.preview_interval.setRange(0, step_max)
is_prompted = "text_prompt" in tool.capabilities
self.model_browse_button.setVisible(tool.id == "lora_generator")
self.prompt_label.setText("Positive prompt" if is_prompted else "Label / creative note")
self.prompt.setPlaceholderText(
"Describe the image to create with the selected LoRA."
if is_prompted
else "Optional note describing what you are exploring. Unconditional generators save it with the batch but do not use it as a text prompt."
)
self.lora_options.setVisible(tool.id == "lora_generator")
self.ddpm_reference_options.setVisible(tool.id == "ddpm_generator")
self.smart_group.setVisible("smart_generation" in tool.capabilities)
self.aspect.setEnabled(
tool.id != "ddpm_generator" or not self.ddpm_custom_size.isChecked()
)
if tool.id == "lora_generator":
self._load_lora_options()
self._load_plugin_generation_settings(tool)
self.model.blockSignals(False)
if not tool:
self.smart_group.setVisible(False)
self.generate_button.setEnabled(bool(tool and self.model.count()))
self._apply_preset()
self._model_changed()
def _browse_lora(self) -> None:
"""Choose a LoRA outside the connected trainer's output folder."""
path, _ = QFileDialog.getOpenFileName(
self,
"Choose LoRA file",
"",
"LoRA files (*.safetensors)",
)
if not path:
return
selected = Path(path).resolve()
if "_comfy" in selected.stem.casefold():
QMessageBox.warning(
self,
"Choose the original LoRA",
"The *_comfy.safetensors export is for ComfyUI. Choose the original LoRA file instead.",
)
return
index = self.model.findData(str(selected))
if index < 0:
self.model.addItem(selected.stem, str(selected))
index = self.model.count() - 1
self.model.setCurrentIndex(index)
def _lora_settings(self) -> dict:
root = Path(str(self.config.get("tool_folders", {}).get("lora_trainer", "")))
try:
value = json.loads((root / "config" / "app_settings.json").read_text(encoding="utf-8"))
return value if isinstance(value, dict) else {}
except (OSError, ValueError, TypeError, json.JSONDecodeError):
return {}
def _load_lora_options(self) -> None:
saved = self._lora_settings()
base_models = [str(saved.get(key, "")).strip() for key in ("generate_model", "last_model")]
current = self.base_model.currentText().strip()
self.base_model.clear()
preferred_asset = next(
(
asset for asset in self.assets.assets
if asset.kind == "base_model"
and "waiillustrious" in "".join(
character for character in asset.name.casefold() if character.isalnum()
)
),
None,
)
if preferred_asset is not None:
self.base_model.addItem(preferred_asset.name, preferred_asset.path)
for path in dict.fromkeys(item for item in base_models if item):
self.base_model.addItem(Path(path).name, path)
for asset in self.assets.assets:
if asset.kind == "base_model" and self.base_model.findData(asset.path) < 0:
self.base_model.addItem(asset.name, asset.path)
if current:
self.base_model.setCurrentText(current)
elif preferred_asset is not None:
self.base_model.setCurrentIndex(0)
elif base_models and base_models[0]:
self.base_model.setCurrentText(base_models[0])
self.negative_prompt.setPlainText(str(saved.get("generate_negative_prompt", "")))
self.cfg_scale.setValue(float(saved.get("generate_cfg", 7.0) or 7.0))
self.lora_strength.setValue(float(saved.get("generate_lora_strength", 1.0) or 1.0))
self.denoise_strength.setValue(float(saved.get("generate_denoise_strength", 0.45) or 0.45))
self.prompt_weighting.setChecked(bool(saved.get("generate_prompt_weighting", True)))
self._lora_aspect_changed(self.aspect.currentText())
def _lora_aspect_changed(self, aspect: str) -> None:
if not self._current_tool() or self._current_tool().id != "lora_generator":
return
sizes = {
"1:1 (Square)": (1024, 1024), "4:3 (Landscape)": (1152, 864),
"3:4 (Portrait)": (864, 1152), "3:2 (Landscape)": (1216, 832),
"2:3 (Portrait)": (832, 1216), "16:9 (Widescreen)": (1344, 768),
"9:16 (Vertical)": (768, 1344),
}
if aspect in sizes:
self.width.setValue(sizes[aspect][0])
self.height.setValue(sizes[aspect][1])
def _browse_reference(self) -> None:
path, _ = QFileDialog.getOpenFileName(self, "Choose reference image", self.reference_image.text(), "Images (*.png *.jpg *.jpeg *.webp *.bmp)")
if path:
self.reference_image.setText(path)
def _browse_ddpm_reference(self) -> None:
path, _ = QFileDialog.getOpenFileName(
self,
"Choose DDPM reference image",
self.ddpm_reference_image.text(),
"Images (*.png *.jpg *.jpeg *.webp *.bmp)",
)
if path:
self.ddpm_reference_image.setText(path)
def _ddpm_custom_size_changed(self, enabled: bool) -> None:
self.ddpm_width.setEnabled(enabled)
self.ddpm_height.setEnabled(enabled)
if self._current_tool() and self._current_tool().id == "ddpm_generator":
self.aspect.setEnabled(not enabled)
def _load_plugin_generation_settings(self, tool: ToolSpec) -> None:
schema = self.registry.model_plugins.generation_schema_for_tool(tool.id)
built_in = {
"model_name", "model_path", "prompt", "image_count", "steps", "seed",
"sampler", "aspect_ratio", "preview_interval",
"smart_generation", "smart_wanted_results", "smart_max_candidates",
"smart_min_score", "smart_mode", "smart_keep_rejected",
}
if tool.id == "lora_generator":
built_in.update({
"base_model_path", "negative_prompt", "width", "height",
"cfg_scale", "lora_strength", "reference_image",
"denoise_strength", "prompt_weighting",
})
elif tool.id == "ddpm_generator":
built_in.update({"reference_image", "reference_strength", "width", "height"})
extra_schema = {
key: spec for key, spec in schema.items()
if key not in built_in and key in tool.arguments
}
self.plugin_generation_form.set_schema(extra_schema)
self.plugin_generation_group.setVisible(bool(extra_schema))
@staticmethod
def _model_is_ready(asset: Asset) -> bool:
path = Path(asset.path)
if asset.trainer == "ddpm":
return path.is_dir() and (path / "model_index.json").is_file()
if asset.trainer == "flow":
return (
path.is_dir()
and (path / "flow_model_info.json").is_file()
and (path / "unet" / "config.json").is_file()
)
if asset.trainer == "lora":
return (
path.is_file()
and path.suffix.casefold() == ".safetensors"
and "_comfy" not in path.stem.casefold()
) or (
path.is_dir()
and any(
item.is_file() and "_comfy" not in item.stem.casefold()
for item in path.glob("*.safetensors")
)
)
return path.exists()
def _model_changed(self) -> None:
tool = self._current_tool()
path = self.model.currentData()
if not tool:
self.model_hint.setText("No registered image generators are available.")
elif not path:
self.model_hint.setText(
f"{tool.name} is ready, but no compatible completed model was found."
)
else:
self.model_hint.setText(f"Completed pipeline: {path}")
self.generate_button.setEnabled(bool(tool and path))
def _apply_preset(self) -> None:
name = self.preset.currentText()
tool = self._current_tool()
if tool and tool.id == "flow_generator":
values = {
"Balanced": (20, "Heun"),
"Fast preview": (8, "Euler"),
"Detailed": (30, "Heun"),
"Classic": (20, "Euler"),
}
fallback = (20, "Heun")
elif tool and tool.id == "lora_generator":
values = {
"Balanced": (30, "DPM++ 2M"),
"Fast preview": (12, "Euler a"),
"Detailed": (50, "DPM++ 2M"),
"Classic": (30, "DDIM"),
}
fallback = (30, "DPM++ 2M")
else:
values = {
"Balanced": (50, "DDIM"),
"Fast preview": (20, "DDIM"),
"Detailed": (100, "DDIM"),
"Classic": (100, "DDPM"),
}
fallback = (50, "DDIM")
steps, sampler = values.get(name, fallback)
self.steps.setValue(max(self.steps.minimum(), min(steps, self.steps.maximum())))
if self.sampler.findText(sampler) >= 0:
self.sampler.setCurrentText(sampler)
def _generate(self) -> None:
tool = self._current_tool()
model_path = str(self.model.currentData() or "")
if tool is None or not model_path:
QMessageBox.information(
self, "Choose a model", "Choose a registered generator and completed model."
)
return
raw_seed = self.seed.text().strip()
try:
seed = int(raw_seed) if raw_seed else 0
except ValueError:
QMessageBox.warning(self, "Check the seed", "Seed must be a whole number or left blank for random.")
return
if seed < 0 or seed > 2_147_483_647:
QMessageBox.warning(self, "Check the seed", "Seed must be between 0 and 2,147,483,647.")
return
extra_arguments = {}
if tool.id == "lora_generator":
extra_arguments = {
"negative_prompt": self.negative_prompt.toPlainText(),
"base_model_path": str(self.base_model.currentData() or self.base_model.currentText()),
"width": self.width.value(), "height": self.height.value(),
"cfg_scale": self.cfg_scale.value(), "lora_strength": self.lora_strength.value(),
"reference_image": self.reference_image.text().strip(),
"denoise_strength": self.denoise_strength.value(),
"prompt_weighting": self.prompt_weighting.isChecked(),
"preview_interval": self.preview_interval.value(),
}
elif tool.id == "ddpm_generator":
extra_arguments = {
"reference_image": self.ddpm_reference_image.text().strip(),
"reference_strength": self.ddpm_reference_strength.value(),
"width": self.ddpm_width.value() if self.ddpm_custom_size.isChecked() else 0,
"height": self.ddpm_height.value() if self.ddpm_custom_size.isChecked() else 0,
"preview_interval": self.preview_interval.value(),
}
elif tool.id == "flow_generator":
extra_arguments = {"preview_interval": self.preview_interval.value()}
if self.smart_group.isVisible() and self.smart_enabled.isChecked():
if self.smart_max_candidates.value() < self.smart_wanted.value():
QMessageBox.warning(self, "Check Smart Generation", "Maximum candidates must be at least the wanted result count.")
return
extra_arguments.update({
"smart_generation": True,
"smart_wanted_results": self.smart_wanted.value(),
"smart_max_candidates": self.smart_max_candidates.value(),
"smart_min_score": self.smart_min_score.value(),
"smart_mode": str(self.smart_mode.currentData() or "threshold"),
"smart_keep_rejected": self.smart_keep_rejected.isChecked(),
})
extra_arguments.update(self.plugin_generation_form.values())
plan = build_generation_plan(
tool,
model_name=self.model.currentText(),
model_path=model_path,
prompt=self.prompt.toPlainText(),
image_count=self.images.value(),
steps=self.steps.value(),
seed=seed,
sampler=self.sampler.currentText(),
aspect_ratio=self.aspect.currentText(),
extra_arguments=extra_arguments,
)
job = self.jobs.submit(plan)
self._save_generation_settings()
self.status.setText(
f"Generation job {job.id} queued. You can follow it here or in Jobs / History."
)
def _open_generation_cycle(self) -> None:
self.assets.discover(self.config)
tools = generation_tools(self.registry)
trainer_labels = {"ddpm": "DDPM", "flow": "Flow Matching", "lora": "LoRA"}
entries = []
for asset in self.assets.assets:
if asset.kind != "model" or not self._model_is_ready(asset):
continue
tool = next((item for item in tools if asset.trainer in item.model_trainers), None)
if tool:
entries.append({
"name": asset.name, "path": asset.path, "trainer": asset.trainer,
"trainer_label": trainer_labels.get(asset.trainer, asset.trainer.title()),
"tool": tool,
})
if not entries:
QMessageBox.information(self, "No completed models", "Complete at least one compatible model before creating a generation cycle.")
return
dialog = GenerationCycleDialog(entries, self)
if dialog.exec() != QDialog.Accepted:
return
selected = dialog.selected_entries()
plans = []
base_seed = dialog.seed.value()
for index, entry in enumerate(selected):
tool = entry["tool"]
options = tool.generation_options
samplers = [str(value) for value in options.get("samplers", [])] or ["DDIM"]
aspects = [str(value) for value in options.get("aspect_ratios", [])] or ["1:1 (Square)"]
extra = {}
if tool.id == "lora_generator":
saved = self._lora_settings()
base_path = str(saved.get("generate_model") or saved.get("last_model") or "")
if not base_path:
base_asset = next((asset for asset in self.assets.assets if asset.kind == "base_model"), None)
base_path = base_asset.path if base_asset else ""
if not base_path or not Path(base_path).exists():
QMessageBox.warning(
self, "LoRA base model required",
f"{entry['name']} needs a valid Stable Diffusion base model before it can join the cycle. "
"Choose one in the LoRA generation settings first.",
)
return
extra = {
"base_model_path": base_path,
"negative_prompt": str(saved.get("generate_negative_prompt", "")),
"width": 1024, "height": 1024,
"cfg_scale": float(saved.get("generate_cfg", 7.0) or 7.0),
"lora_strength": float(saved.get("generate_lora_strength", 1.0) or 1.0),
"denoise_strength": float(saved.get("generate_denoise_strength", 0.45) or 0.45),
"prompt_weighting": bool(saved.get("generate_prompt_weighting", True)),
}
plans.append(build_generation_plan(
tool,
model_name=entry["name"], model_path=entry["path"],
prompt=dialog.prompt.text().strip() or (entry["name"] if tool.id == "lora_generator" else ""),
image_count=dialog.image_count.value(),
steps=int(options.get("step_default", 30) or 30),
seed=base_seed + index * dialog.image_count.value(),
sampler=samplers[0], aspect_ratio=aspects[0], extra_arguments=extra,
))
plan = combine_generation_plans(
plans, display_seconds=dialog.display_seconds.value(),
show_labels=dialog.show_labels.isChecked(), loop=dialog.loop.isChecked(),
)
job = self.jobs.submit(plan)
self._cycle_jobs[job.id] = {
"models": [(entry["name"], entry["trainer_label"]) for entry in selected],
"display_seconds": dialog.display_seconds.value(),
"show_labels": dialog.show_labels.isChecked(),
"loop": dialog.loop.isChecked(),
"fullscreen": dialog.fullscreen.isChecked(),
}
self.status.setText(f"Generation cycle {job.id} queued with {len(selected)} models.")
def _play_finished_cycle(self, job: Job, settings: dict) -> None:
records = []
history_root = self.root / "data" / "generations"
if history_root.is_dir():
for metadata in history_root.rglob(f"*{job.id}*.json"):
record = GenerationRecord.from_metadata(metadata)
if record:
records.append(record)
model_order = {name: index for index, (name, _trainer) in enumerate(settings["models"])}
records.sort(key=lambda record: model_order.get(record.model_name, len(model_order)))
trainer_by_model = dict(settings["models"])
slides = [
(path, f"{record.model_name} — {trainer_by_model.get(record.model_name, record.provider_name)}")
for record in records for path in record.images
]
if not slides:
self.status.setText(f"Generation cycle {job.id} finished, but no cycle images were found.")
return
player = CycleSlideshowDialog(
slides, display_seconds=settings["display_seconds"],
show_labels=settings["show_labels"], loop=settings["loop"], parent=self,
)
if settings.get("fullscreen"):
player.showFullScreen()
player.exec()
def _save_generation_settings(self) -> None:
self.config.update({
"generation_settings": {
"provider": self.provider.currentData(),
"model_path": self.model.currentData(),
"preset": self.preset.currentText(),
"images": self.images.value(),
"steps": self.steps.value(),
"preview_interval": self.preview_interval.value(),
"sampler": self.sampler.currentText(),
"aspect_ratio": self.aspect.currentText(),
"seed": self.seed.text(),
"prompt": self.prompt.toPlainText(),
"base_model_path": self.base_model.currentData() or self.base_model.currentText(),
"negative_prompt": self.negative_prompt.toPlainText(),
"cfg_scale": self.cfg_scale.value(),
"lora_strength": self.lora_strength.value(),
"denoise_strength": self.denoise_strength.value(),
"prompt_weighting": self.prompt_weighting.isChecked(),
"ddpm_reference_image": self.ddpm_reference_image.text(),
"ddpm_reference_strength": self.ddpm_reference_strength.value(),
"ddpm_custom_size": self.ddpm_custom_size.isChecked(),
"ddpm_width": self.ddpm_width.value(),
"ddpm_height": self.ddpm_height.value(),
"smart_generation": self.smart_enabled.isChecked(),
"smart_wanted_results": self.smart_wanted.value(),
"smart_max_candidates": self.smart_max_candidates.value(),
"smart_min_score": self.smart_min_score.value(),
"smart_mode": self.smart_mode.currentData(),
"smart_keep_rejected": self.smart_keep_rejected.isChecked(),
}
})
def _connect_generation_setting_persistence(self) -> None:
self.provider.currentIndexChanged.connect(self._save_generation_settings)
self.model.currentIndexChanged.connect(self._save_generation_settings)
self.preset.currentTextChanged.connect(self._save_generation_settings)
self.images.valueChanged.connect(self._save_generation_settings)
self.steps.valueChanged.connect(self._save_generation_settings)
self.preview_interval.valueChanged.connect(self._save_generation_settings)
self.sampler.currentTextChanged.connect(self._save_generation_settings)
self.aspect.currentTextChanged.connect(self._save_generation_settings)
self.seed.editingFinished.connect(self._save_generation_settings)
self.prompt.textChanged.connect(self._save_generation_settings)
self.base_model.currentIndexChanged.connect(self._save_generation_settings)
self.base_model.editTextChanged.connect(self._save_generation_settings)
self.negative_prompt.textChanged.connect(self._save_generation_settings)
self.cfg_scale.valueChanged.connect(self._save_generation_settings)
self.lora_strength.valueChanged.connect(self._save_generation_settings)
self.denoise_strength.valueChanged.connect(self._save_generation_settings)
self.prompt_weighting.toggled.connect(self._save_generation_settings)
self.ddpm_reference_image.editingFinished.connect(self._save_generation_settings)
self.ddpm_reference_strength.valueChanged.connect(self._save_generation_settings)
self.ddpm_custom_size.toggled.connect(self._save_generation_settings)
self.ddpm_width.valueChanged.connect(self._save_generation_settings)
self.ddpm_height.valueChanged.connect(self._save_generation_settings)
self.smart_enabled.toggled.connect(self._save_generation_settings)
self.smart_wanted.valueChanged.connect(self._save_generation_settings)
self.smart_max_candidates.valueChanged.connect(self._save_generation_settings)
self.smart_min_score.valueChanged.connect(self._save_generation_settings)
self.smart_mode.currentIndexChanged.connect(self._save_generation_settings)
self.smart_keep_rejected.toggled.connect(self._save_generation_settings)
def _restore_generation_settings(self) -> None:
saved = self.config.get("generation_settings", {})
if not isinstance(saved, dict):
return
provider_index = self.provider.findData(saved.get("provider"))
if provider_index >= 0:
self.provider.setCurrentIndex(provider_index)
model_index = self.model.findData(saved.get("model_path"))
if model_index >= 0:
self.model.setCurrentIndex(model_index)
for combo, key in ((self.preset, "preset"), (self.sampler, "sampler"), (self.aspect, "aspect_ratio")):
value = str(saved.get(key, ""))
if combo.findText(value) >= 0:
combo.setCurrentText(value)
for spin, key in ((self.images, "images"), (self.steps, "steps"), (self.preview_interval, "preview_interval"), (self.ddpm_reference_strength, "ddpm_reference_strength"), (self.ddpm_width, "ddpm_width"), (self.ddpm_height, "ddpm_height")):
try:
spin.setValue(max(spin.minimum(), min(int(saved.get(key, spin.value())), spin.maximum())))
except (TypeError, ValueError):
pass
self.seed.setText(str(saved.get("seed", "")))
self.prompt.setPlainText(str(saved.get("prompt", "")))
base_model_path = str(saved.get("base_model_path", ""))
base_index = self.base_model.findData(base_model_path)
if base_index >= 0:
self.base_model.setCurrentIndex(base_index)
elif base_model_path:
self.base_model.setCurrentText(base_model_path)
self.negative_prompt.setPlainText(str(saved.get("negative_prompt", self.negative_prompt.toPlainText())))
try:
self.cfg_scale.setValue(float(saved.get("cfg_scale", self.cfg_scale.value())))
self.lora_strength.setValue(float(saved.get("lora_strength", self.lora_strength.value())))
self.denoise_strength.setValue(float(saved.get("denoise_strength", self.denoise_strength.value())))
except (TypeError, ValueError):
pass
self.prompt_weighting.setChecked(bool(saved.get("prompt_weighting", self.prompt_weighting.isChecked())))
self.ddpm_reference_image.setText(str(saved.get("ddpm_reference_image", "")))
self.ddpm_custom_size.setChecked(bool(saved.get("ddpm_custom_size", False)))
self.smart_enabled.setChecked(bool(saved.get("smart_generation", False)))
for spin, key in ((self.smart_wanted, "smart_wanted_results"), (self.smart_max_candidates, "smart_max_candidates")):
try:
spin.setValue(max(spin.minimum(), min(int(saved.get(key, spin.value())), spin.maximum())))
except (TypeError, ValueError):
pass
try:
self.smart_min_score.setValue(float(saved.get("smart_min_score", self.smart_min_score.value())))
except (TypeError, ValueError):
pass
mode_index = self.smart_mode.findData(saved.get("smart_mode"))
if mode_index >= 0:
self.smart_mode.setCurrentIndex(mode_index)
self.smart_keep_rejected.setChecked(bool(saved.get("smart_keep_rejected", True)))
def _load_history(self) -> None:
selected_image = None
current = self.gallery.currentItem()
if current:
selected_image = current.data(Qt.UserRole)
self.records = load_generation_history(self.root)
folders = group_generation_records(self.records)
if self._active_model_folder and not any(
folder.key == self._active_model_folder for folder in folders
):
self._active_model_folder = ""
self._history_load_token += 1
token = self._history_load_token
self._history_load_index = 0
self._history_selected_image = (
str(selected_image.get("image", "")) if isinstance(selected_image, dict) else ""
)
self.gallery.clear()
self.model_folders.clear()
if not self._active_model_folder:
for folder in folders:
item = QListWidgetItem(
QIcon(_folder_cover(folder.cover_image)),
f"{folder.model_name}\n{folder.provider_name} · "
f"{folder.image_count} image{'s' if folder.image_count != 1 else ''}",
)
item.setData(Qt.UserRole, folder.key)
item.setToolTip(
f"Open {folder.model_name}\n"
f"{len(folder.records)} batch{'es' if len(folder.records) != 1 else ''} · "
f"{folder.image_count} image{'s' if folder.image_count != 1 else ''}"
)
self.model_folders.addItem(item)
self.model_folders.setVisible(True)
self.gallery.setVisible(False)
self.image_detail_panel.setVisible(False)
self.history_title.setText("MODEL FOLDERS")
self.folder_back_button.setVisible(False)
self.generation_target.setText(
"Double-click a model folder to browse its images and generate with that model."
)
total_images = sum(folder.image_count for folder in folders)
self.history_summary.setText(
f"{len(folders)} models · {len(self.records)} batches · {total_images} images"
if folders else "No generations yet"
)
self.clear_history_button.setEnabled(False)
self.auto_sort_button.setEnabled(False)
self._selection_changed(None, None)
return
active_folder = next(folder for folder in folders if folder.key == self._active_model_folder)
self.model_folders.setVisible(False)
self.gallery.setVisible(True)
self.image_detail_panel.setVisible(True)
self.history_title.setText(active_folder.model_name.upper())
self.folder_back_button.setVisible(True)
self.generation_target.setText(
f"Generating now will add the new batch to {active_folder.model_name}."
)
self.auto_sort_button.setEnabled(True)
self._history_entries = []
active_batch_count = 0
for record_index, record in enumerate(self.records):
if generation_model_key(record) != self._active_model_folder:
continue
active_batch_count += 1
for image_index, path in enumerate(record.images):
if str(path) in self.hidden_history_images:
continue
self._history_entries.append((record_index, image_index, path))
image_total = len(self._history_entries)
self.history_summary.setText(
f"{active_batch_count} batches · {image_total} images · Loading thumbnails…"
if image_total
else "No generations yet"
)
self.clear_history_button.setEnabled(image_total > 0)
if not image_total:
self._selection_changed(None, None)
return
QTimer.singleShot(0, lambda: self._load_next_history_thumbnail(token))
def _load_next_history_thumbnail(self, token: int) -> None:
"""Decode one history image per event-loop turn so the page opens immediately."""
if token != self._history_load_token:
return
if self._history_load_index >= len(self._history_entries):
batch_count = len({entry[0] for entry in self._history_entries})
self.history_summary.setText(
f"{batch_count} batches · {len(self._history_entries)} images"
)
if self.gallery.currentRow() < 0 and self.gallery.count():
self.gallery.setCurrentRow(0)
return
record_index, image_index, path = self._history_entries[self._history_load_index]
record = self.records[record_index]
seed = record.seed + image_index
rating = self._stored_rating(record, path)
score = record.image_evaluations.get(str(path.resolve()), {}).get("score")
badges = []
if rating:
badges.append(rating.title())
if isinstance(score, (int, float)):
badges.append(f"{float(score):.2f}")
item = QListWidgetItem(
QIcon(_thumbnail(path, 170, 128)),
f"{record.model_name}\nSeed {seed}" + (f" · {' · '.join(badges)}" if badges else ""),
)
item.setData(Qt.UserRole, {
"record": record_index,
"image": str(path),
"seed": seed,
})
self.gallery.addItem(item)
if self._history_selected_image == str(path):
self.gallery.setCurrentItem(item)
self._history_load_index += 1
QTimer.singleShot(0, lambda: self._load_next_history_thumbnail(token))
def _open_model_folder(self, item: QListWidgetItem) -> None:
key = str(item.data(Qt.UserRole) or "")
folder = next(
(candidate for candidate in group_generation_records(self.records) if candidate.key == key),
None,
)
if folder is None:
return
self._active_model_folder = folder.key
provider_index = self.provider.findData(folder.provider_id)
if provider_index >= 0:
self.provider.setCurrentIndex(provider_index)
model_index = self.model.findData(folder.model_path)
if model_index >= 0:
self.model.setCurrentIndex(model_index)
self.status.setText(f"Opened {folder.model_name}. New images will be generated here.")
else:
self.status.setText(
f"Opened {folder.model_name}. Its history is available, but the model is not currently connected."
)
self._load_history()
def _show_model_folders(self) -> None:
self._active_model_folder = ""
self._load_history()
def _clear_displayed_history(self) -> None:
for index in range(self.gallery.count()):
payload = self.gallery.item(index).data(Qt.UserRole)
if isinstance(payload, dict) and payload.get("image"):
self.hidden_history_images.add(str(payload["image"]))
self.gallery.clear()
self.history_summary.setText("No images displayed")
self.clear_history_button.setEnabled(False)
self._selection_changed(None, None)
self.status.setText("Displayed generation history cleared. Image files were not deleted.")
def _auto_sort_history(self) -> None:
changed = 0
skipped = 0
for record in self.records:
if self._active_model_folder and generation_model_key(record) != self._active_model_folder:
continue
profile = PreferenceProfile(self.root, record.provider_id, record.model_name, record.model_path)
if not profile.has_signal():
skipped += 1
continue
try:
scores = score_generated_images(
self.root,
provider_id=record.provider_id,
model_name=record.model_name,
model_path=record.model_path,
image_paths=record.images,
keep_threshold=profile.keep_threshold,
reject_threshold=profile.reject_threshold,
)
evaluations = {
score.image_path: {
"score": score.score,
"confidence": score.confidence,
"category": score.category,
"reason": score.reason,
}
for score in scores
}
ordered = sorted(
record.images,
key=lambda path: float(evaluations.get(str(path.resolve()), {}).get("score") or -1.0),
reverse=True,
)
payload = json.loads(record.metadata_path.read_text(encoding="utf-8"))
payload["images"] = [str(path) for path in ordered]
payload["image_evaluations"] = evaluations
smart = dict(payload.get("smart_generation") or {})
smart.update({
"auto_sorted": True,
"profile_id": profile.id,
"selected_count": sum(
1 for score in scores
if score.score is not None and score.score >= profile.keep_threshold
),
"candidate_count": len(scores),
})
payload["smart_generation"] = smart
temporary = record.metadata_path.with_suffix(".tmp")
temporary.write_text(json.dumps(payload, indent=2), encoding="utf-8")
temporary.replace(record.metadata_path)
changed += 1
except Exception as exc:
skipped += 1
self.status.setText(f"Auto Sort skipped a batch: {exc}")
self._load_history()
self.status.setText(f"Auto Sort updated {changed} batch(es). {skipped} had no profile signal or could not be scored.")
def _selection(self) -> tuple[GenerationRecord, Path, int] | None:
item = self.gallery.currentItem()
if not item:
return None
payload = item.data(Qt.UserRole)
try:
return (
self.records[int(payload["record"])],
Path(str(payload["image"])),
int(payload["seed"]),
)
except (KeyError, IndexError, TypeError, ValueError):
return None
def _selection_changed(self, _current=None, _previous=None) -> None:
selection = self._selection()
enabled = selection is not None
self.open_image_button.setEnabled(enabled)
self.open_folder_button.setEnabled(enabled)
self.reuse_button.setEnabled(enabled)
for button in (self.favorite_button, self.keep_button, self.unsure_button, self.reject_button):
button.setEnabled(enabled)
if not selection:
self.detail.setText("Select an image to see its reproducibility settings.")
return
record, path, seed = selection
note = f" · Note: {record.prompt}" if record.prompt else ""
rating = self._stored_rating(record, path)
evaluation = record.image_evaluations.get(str(path.resolve()), {})
score = evaluation.get("score")
score_text = f" · Smart score {float(score):.2f}" if isinstance(score, (int, float)) else ""
category = str(evaluation.get("category", ""))
category_text = f" · {category}" if category else ""
rating_text = f" · Rating: {rating.title()}" if rating else " · Not rated"
self.detail.setText(
f"{record.provider_name} · {record.model_name} · Seed {seed} · "
f"{record.steps} steps · {record.sampler} · {record.aspect_ratio}{rating_text}{score_text}{category_text}{note}"
)
def _stored_rating(self, record: GenerationRecord, path: Path) -> str:
profile = PreferenceProfile(self.root, record.provider_id, record.model_name, record.model_path)
rating = profile.rating_for(path)
return rating.rating if rating else ""
def _generation_settings_for_record(self, record: GenerationRecord, seed: int) -> dict:
settings = {
"provider_id": record.provider_id,
"provider_name": record.provider_name,
"model_name": record.model_name,
"model_path": record.model_path,
"prompt": record.prompt,
"seed": seed,
"steps": record.steps,
"sampler": record.sampler,
"aspect_ratio": record.aspect_ratio,
}
settings.update(record.smart_generation)
return settings
def _rate_selection(self, rating: str) -> None:
selection = self._selection()
if not selection:
return
record, path, seed = selection
profile = PreferenceProfile(self.root, record.provider_id, record.model_name, record.model_path)
profile.set_rating(
path,
rating,
seed=seed,
sampler=record.sampler,
steps=record.steps,
resolution=record.aspect_ratio,
generation_settings=self._generation_settings_for_record(record, seed),
generation_created_at=record.created_at,
)
self.status.setText(f"Saved {rating.title()} for {record.model_name}.")
self._load_history()
def _open_image(self) -> None:
selection = self._selection()
if selection:
QDesktopServices.openUrl(QUrl.fromLocalFile(str(selection[1])))
def _open_folder(self) -> None:
selection = self._selection()
if selection:
QDesktopServices.openUrl(QUrl.fromLocalFile(str(selection[0].folder)))
def _reuse_settings(self) -> None:
selection = self._selection()
if not selection:
return
record, _path, seed = selection
provider_index = self.provider.findData(record.provider_id)
if provider_index >= 0:
self.provider.setCurrentIndex(provider_index)
model_index = self.model.findData(record.model_path)
if model_index >= 0:
self.model.setCurrentIndex(model_index)
self.prompt.setPlainText(record.prompt)
self.seed.setText(str(seed))
self.steps.setValue(max(self.steps.minimum(), min(record.steps, self.steps.maximum())))
self.sampler.setCurrentText(record.sampler)
self.aspect.setCurrentText(record.aspect_ratio)
self.status.setText("Settings restored from generation history.")
def _job_updated(self, job: Job) -> None:
generation_ids = {tool.id for tool in generation_tools(self.registry)}
if not any(step.tool_id in generation_ids for step in job.plan.steps):
return
if job.status == JobStatus.FINISHED:
self.status.setText(f"Generation job {job.id} finished successfully.")
self._load_history()
cycle = self._cycle_jobs.pop(job.id, None)
if cycle:
QTimer.singleShot(0, lambda current=job, settings=cycle: self._play_finished_cycle(current, settings))
elif job.status == JobStatus.FAILED:
self.status.setText(f"Generation job {job.id} failed: {job.error or 'Unknown error'}")
elif job.status == JobStatus.CANCELLED:
self.status.setText(f"Generation job {job.id} was cancelled.")
elif job.status in {JobStatus.RUNNING, JobStatus.PAUSED}:
self.status.setText(f"Generation job {job.id}: {job.status.value} · {job.progress}%")
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