[WebUI] 2.2.5 Bug Fixes

frontend/dist/index.html

@@ -7,7 +7,7 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>InvokeAI - A Stable Diffusion Toolkit</title>
     <link rel="shortcut icon" type="icon" href="./assets/favicon.0d253ced.ico" />
-    <script type="module" crossorigin src="./assets/index.dca51560.js"></script>
+    <script type="module" crossorigin src="./assets/index.726ca2dc.js"></script>
     <link rel="stylesheet" href="./assets/index.0dadf5d0.css">
     <script type="module">try{import.meta.url;import("_").catch(()=>1);}catch(e){}window.__vite_is_modern_browser=true;</script>
     <script type="module">!function(){if(window.__vite_is_modern_browser)return;console.warn("vite: loading legacy build because dynamic import or import.meta.url is unsupported, syntax error above should be ignored");var e=document.getElementById("vite-legacy-polyfill"),n=document.createElement("script");n.src=e.src,n.onload=function(){System.import(document.getElementById('vite-legacy-entry').getAttribute('data-src'))},document.body.appendChild(n)}();</script>
@@ -18,6 +18,6 @@
 
     <script nomodule>!function(){var e=document,t=e.createElement("script");if(!("noModule"in t)&&"onbeforeload"in t){var n=!1;e.addEventListener("beforeload",(function(e){if(e.target===t)n=!0;else if(!e.target.hasAttribute("nomodule")||!n)return;e.preventDefault()}),!0),t.type="module",t.src=".",e.head.appendChild(t),t.remove()}}();</script>
     <script nomodule crossorigin id="vite-legacy-polyfill" src="./assets/polyfills-legacy-dde3a68a.js"></script>
-    <script nomodule crossorigin id="vite-legacy-entry" data-src="./assets/index-legacy-3415d492.js">System.import(document.getElementById('vite-legacy-entry').getAttribute('data-src'))</script>
+    <script nomodule crossorigin id="vite-legacy-entry" data-src="./assets/index-legacy-f39d2eb7.js">System.import(document.getElementById('vite-legacy-entry').getAttribute('data-src'))</script>
   </body>
 </html>

frontend/dist/locales/modelmanager/de.json

@@ -34,6 +34,7 @@
   "checkpointFolder": "Checkpoint-Ordner",
   "clearCheckpointFolder": "Checkpoint-Ordner löschen",
   "findModels": "Models finden",
+  "scanAgain": "Erneut scannen",
   "modelsFound": "Models gefunden",
   "selectFolder": "Ordner auswählen",
   "selected": "Ausgewählt",
@@ -42,6 +43,8 @@
   "showExisting": "Vorhandene anzeigen",
   "addSelected": "Auswahl hinzufügen",
   "modelExists": "Model existiert",
+  "selectAndAdd": "Unten aufgeführte Models auswählen und hinzufügen",
+  "noModelsFound": "Keine Models gefunden",
   "delete": "Löschen",
   "deleteModel": "Model löschen",
   "deleteConfig": "Konfiguration löschen",

frontend/dist/locales/modelmanager/ru.json

@@ -1 +1,53 @@
-{}
+{
+  "modelManager": "Менеджер моделей",
+  "model": "Модель",
+  "modelAdded": "Модель добавлена",
+  "modelUpdated": "Модель обновлена",
+  "modelEntryDeleted": "Запись о модели удалена",
+  "cannotUseSpaces": "Нельзя использовать пробелы",
+  "addNew": "Добавить новую",
+  "addNewModel": "Добавить новую модель",
+  "addManually": "Добавить вручную",
+  "manual": "Ручное",
+  "name": "Название",
+  "nameValidationMsg": "Введите название модели",
+  "description": "Описание",
+  "descriptionValidationMsg": "Введите описание модели",
+  "config": "Файл конфигурации",
+  "configValidationMsg": "Путь до файла конфигурации",
+  "modelLocation": "Расположение модели",
+  "modelLocationValidationMsg": "Путь до файла с моделью",
+  "vaeLocation": "Расположение VAE",
+  "vaeLocationValidationMsg": "Путь до VAE",
+  "width": "Ширина",
+  "widthValidationMsg": "Исходная ширина изображений",
+  "height": "Высота",
+  "heightValidationMsg": "Исходная высота изображений",
+  "addModel": "Добавить модель",
+  "updateModel": "Обновить модель",
+  "availableModels": "Доступные модели",
+  "search": "Искать",
+  "load": "Загрузить",
+  "active": "активна",
+  "notLoaded": "не загружена",
+  "cached": "кэширована",
+  "checkpointFolder": "Папка с моделями",
+  "clearCheckpointFolder": "Очистить папку с моделями",
+  "findModels": "Найти модели",
+  "scanAgain": "Сканировать снова",
+  "modelsFound": "Найденные модели",
+  "selectFolder": "Выбрать папку",
+  "selected": "Выбраны",
+  "selectAll": "Выбрать все",
+  "deselectAll": "Снять выделение",
+  "showExisting": "Показывать добавленные",
+  "addSelected": "Добавить выбранные",
+  "modelExists": "Модель уже добавлена",
+  "selectAndAdd": "Выберите и добавьте модели из списка",
+  "noModelsFound": "Модели не найдены",
+  "delete": "Удалить",
+  "deleteModel": "Удалить модель",
+  "deleteConfig": "Удалить конфигурацию",
+  "deleteMsg1": "Вы точно хотите удалить модель из InvokeAI?",
+  "deleteMsg2": "Это не удалит файл модели с диска. Позже вы можете добавить его снова."
+}

frontend/dist/locales/tooltip/de.json

@@ -1 +1,15 @@
-{}
+{
+  "feature": {
+    "prompt": "Dies ist das Prompt-Feld. Ein Prompt enthält Generierungsobjekte und stilistische Begriffe. Sie können auch Gewichtungen (Token-Bedeutung) dem Prompt hinzufügen, aber CLI-Befehle und Parameter funktionieren nicht.",
+    "gallery": "Die Galerie zeigt erzeugte Bilder aus dem Ausgabeordner an, sobald sie erstellt wurden. Die Einstellungen werden in den Dateien gespeichert und können über das Kontextmenü aufgerufen werden.",
+    "other": "Mit diesen Optionen werden alternative Verarbeitungsmodi für InvokeAI aktiviert. 'Nahtlose Kachelung' erzeugt sich wiederholende Muster in der Ausgabe. 'Hohe Auflösungen' werden in zwei Schritten mit img2img erzeugt: Verwenden Sie diese Einstellung, wenn Sie ein größeres und kohärenteres Bild ohne Artefakte wünschen. Es dauert länger als das normale txt2img.",
+    "seed": "Der Seed-Wert beeinflusst das Ausgangsrauschen, aus dem das Bild erstellt wird. Sie können die bereits vorhandenen Seeds von früheren Bildern verwenden. 'Der Rauschschwellenwert' wird verwendet, um Artefakte bei hohen CFG-Werten abzuschwächen (versuchen Sie es im Bereich 0-10), und Perlin, um während der Erzeugung Perlin-Rauschen hinzuzufügen: Beide dienen dazu, Ihre Ergebnisse zu variieren.",
+    "variations": "Versuchen Sie eine Variation mit einem Wert zwischen 0,1 und 1,0, um das Ergebnis für ein bestimmtes Seed zu ändern. Interessante Variationen des Seeds liegen zwischen 0,1 und 0,3.",
+    "upscale": "Verwenden Sie ESRGAN, um das Bild unmittelbar nach der Erzeugung zu vergrößern.",
+    "faceCorrection": "Gesichtskorrektur mit GFPGAN oder Codeformer: Der Algorithmus erkennt Gesichter im Bild und korrigiert alle Fehler. Ein hoher Wert verändert das Bild stärker, was zu attraktiveren Gesichtern führt. Codeformer mit einer höheren Genauigkeit bewahrt das Originalbild auf Kosten einer stärkeren Gesichtskorrektur.",
+    "imageToImage": "Bild zu Bild lädt ein beliebiges Bild als Ausgangsbild, aus dem dann zusammen mit dem Prompt ein neues Bild erzeugt wird. Je höher der Wert ist, desto stärker wird das Ergebnisbild verändert. Werte von 0,0 bis 1,0 sind möglich, der empfohlene Bereich ist .25-.75",
+    "boundingBox": "Der Begrenzungsrahmen ist derselbe wie die Einstellungen für Breite und Höhe bei Text zu Bild oder Bild zu Bild. Es wird nur der Bereich innerhalb des Rahmens verarbeitet.",
+    "seamCorrection": "Steuert die Behandlung von sichtbaren Übergängen, die zwischen den erzeugten Bildern auf der Leinwand auftreten.",
+    "infillAndScaling": "Verwalten Sie Infill-Methoden (für maskierte oder gelöschte Bereiche der Leinwand) und Skalierung (nützlich für kleine Begrenzungsrahmengrößen)."
+  }
+}

frontend/dist/locales/tooltip/en-US.json

@@ -1,15 +1,15 @@
 {
   "feature": {
-    "prompt": "This field will take all prompt text, including both content and stylistic terms. While weights can be included in the prompt, standard CLI Commands/parameters will not work.",
-    "gallery": "As new invocations are generated, files from the output directory will be displayed here. Generations have additional options to configure new generations.",
-    "other": "These options will enable alternative processing modes for Invoke. Seamless tiling will work to generate repeating patterns in the output. High Resolution Optimization performs a two-step generation cycle, and should be used at higher resolutions when you desire a more coherent image/composition.",
-    "seed": "Seed values provide an initial set of noise which guide the denoising process, and can be randomized or populated with a seed from a previous invocation. The Threshold feature can be used to mitigate undesirable outcomes at higher CFG values (try between 0-10), and Perlin can be used to add Perlin noise into the denoising process - Both serve to add variation to your outputs.",
-    "variations": "Try a variation with an amount of between 0 and 1 to change the output image for the set seed - Interesting variations on the seed are found between 0.1 and 0.3.",
-    "upscale": "Using ESRGAN you can increase the output resolution without requiring a higher width/height in the initial generation.",
-    "faceCorrection": "Using GFPGAN or Codeformer, Face Correction will attempt to identify faces in outputs, and correct any defects/abnormalities. Higher strength values will apply a stronger corrective pressure on outputs, resulting in more appealing faces. With Codeformer, a higher fidelity will attempt to preserve the original image, at the expense of face correction strength.",
-    "imageToImage": "Image to Image allows the upload of an initial image, which InvokeAI will use to guide the generation process, along with a prompt. A lower value for this setting will more closely resemble the original image. Values between 0-1 are accepted, and a range of .25-.75 is recommended.",
-    "boundingBox": "The bounding box is analogous to the Width and Height settings for Text to Image or Image to Image. Only the area in the box will be processed.",
-    "seamCorrection": "Control the handling of visible seams which may occur when a generated image is pasted back onto the canvas.",
+    "prompt": "This is the prompt field. Prompt includes generation objects and stylistic terms. You can add weight (token importance) in the prompt as well, but CLI commands and parameters will not work.",
+    "gallery": "Gallery displays generations from the outputs folder as they're created. Settings are stored within files and accesed by context menu.",
+    "other": "These options will enable alternative processing modes for Invoke. 'Seamless tiling' will create repeating patterns in the output. 'High resolution' is generation in two steps with img2img: use this setting when you want a larger and more coherent image without artifacts. It will take longer that usual txt2img.",
+    "seed": "Seed value affects the initial noise from which the image is formed. You can use the already existing seeds from previous images. 'Noise Threshold' is used to mitigate artifacts at high CFG values (try the 0-10 range), and Perlin to add Perlin noise during generation: both serve to add variation to your outputs.",
+    "variations": "Try a variation with a value between 0.1 and 1.0 to change the result for a given seed. Interesting variations of the seed are between 0.1 and 0.3.",
+    "upscale": "Use ESRGAN to enlarge the image immediately after generation.",
+    "faceCorrection": "Face correction with GFPGAN or Codeformer: the algorithm detects faces in the image and corrects any defects. High value will change the image more, resulting in more attractive faces. Codeformer with a higher fidelity preserves the original image at the expense of stronger face correction.",
+    "imageToImage": "Image to Image loads any image as initial, which is then used to generate a new one along with the prompt. The higher the value, the more the result image will change. Values from 0.0 to 1.0 are possible, the recommended range is .25-.75",
+    "boundingBox": "The bounding box is the same as the Width and Height settings for Text to Image or Image to Image. Only the area in the box will be processed.",
+    "seamCorrection": "Controls the handling of visible seams that occur between generated images on the canvas.",
     "infillAndScaling": "Manage infill methods (used on masked or erased areas of the canvas) and scaling (useful for small bounding box sizes)."
   }
 }

frontend/dist/locales/tooltip/en.json

@@ -1,15 +1,15 @@
 {
   "feature": {
-    "prompt": "This field will take all prompt text, including both content and stylistic terms. While weights can be included in the prompt, standard CLI Commands/parameters will not work.",
-    "gallery": "As new invocations are generated, files from the output directory will be displayed here. Generations have additional options to configure new generations.",
-    "other": "These options will enable alternative processing modes for Invoke. Seamless tiling will work to generate repeating patterns in the output. High Resolution Optimization performs a two-step generation cycle, and should be used at higher resolutions when you desire a more coherent image/composition.",
-    "seed": "Seed values provide an initial set of noise which guide the denoising process, and can be randomized or populated with a seed from a previous invocation. The Threshold feature can be used to mitigate undesirable outcomes at higher CFG values (try between 0-10), and Perlin can be used to add Perlin noise into the denoising process - Both serve to add variation to your outputs.",
-    "variations": "Try a variation with an amount of between 0 and 1 to change the output image for the set seed - Interesting variations on the seed are found between 0.1 and 0.3.",
-    "upscale": "Using ESRGAN you can increase the output resolution without requiring a higher width/height in the initial generation.",
-    "faceCorrection": "Using GFPGAN or Codeformer, Face Correction will attempt to identify faces in outputs, and correct any defects/abnormalities. Higher strength values will apply a stronger corrective pressure on outputs, resulting in more appealing faces. With Codeformer, a higher fidelity will attempt to preserve the original image, at the expense of face correction strength.",
-    "imageToImage": "Image to Image allows the upload of an initial image, which InvokeAI will use to guide the generation process, along with a prompt. A lower value for this setting will more closely resemble the original image. Values between 0-1 are accepted, and a range of .25-.75 is recommended.",
-    "boundingBox": "The bounding box is analogous to the Width and Height settings for Text to Image or Image to Image. Only the area in the box will be processed.",
-    "seamCorrection": "Control the handling of visible seams which may occur when a generated image is pasted back onto the canvas.",
+    "prompt": "This is the prompt field. Prompt includes generation objects and stylistic terms. You can add weight (token importance) in the prompt as well, but CLI commands and parameters will not work.",
+    "gallery": "Gallery displays generations from the outputs folder as they're created. Settings are stored within files and accesed by context menu.",
+    "other": "These options will enable alternative processing modes for Invoke. 'Seamless tiling' will create repeating patterns in the output. 'High resolution' is generation in two steps with img2img: use this setting when you want a larger and more coherent image without artifacts. It will take longer that usual txt2img.",
+    "seed": "Seed value affects the initial noise from which the image is formed. You can use the already existing seeds from previous images. 'Noise Threshold' is used to mitigate artifacts at high CFG values (try the 0-10 range), and Perlin to add Perlin noise during generation: both serve to add variation to your outputs.",
+    "variations": "Try a variation with a value between 0.1 and 1.0 to change the result for a given seed. Interesting variations of the seed are between 0.1 and 0.3.",
+    "upscale": "Use ESRGAN to enlarge the image immediately after generation.",
+    "faceCorrection": "Face correction with GFPGAN or Codeformer: the algorithm detects faces in the image and corrects any defects. High value will change the image more, resulting in more attractive faces. Codeformer with a higher fidelity preserves the original image at the expense of stronger face correction.",
+    "imageToImage": "Image to Image loads any image as initial, which is then used to generate a new one along with the prompt. The higher the value, the more the result image will change. Values from 0.0 to 1.0 are possible, the recommended range is .25-.75",
+    "boundingBox": "The bounding box is the same as the Width and Height settings for Text to Image or Image to Image. Only the area in the box will be processed.",
+    "seamCorrection": "Controls the handling of visible seams that occur between generated images on the canvas.",
     "infillAndScaling": "Manage infill methods (used on masked or erased areas of the canvas) and scaling (useful for small bounding box sizes)."
   }
 }