Merge branch 'main' into nodes_add_remoteimage

docs/contributing/INVOCATIONS.md

@@ -65,7 +65,7 @@ The first set of things we need to do when creating a new Invocation are -
 So let us do that.
 
 ```python
-from .baseinvocation import BaseInvocation, invocation
+from invokeai.app.invocations.baseinvocation import BaseInvocation, invocation
 
 @invocation('resize')
 class ResizeInvocation(BaseInvocation):
@@ -99,8 +99,8 @@ create your own custom field types later in this guide. For now, let's go ahead
 and use it.
 
 ```python
-from .baseinvocation import BaseInvocation, InputField, invocation
+from invokeai.app.invocations.baseinvocation import BaseInvocation, InputField, invocation
-from .primitives import ImageField
+from invokeai.app.invocations.primitives import ImageField
 
 @invocation('resize')
 class ResizeInvocation(BaseInvocation):
@@ -124,8 +124,8 @@ image: ImageField = InputField(description="The input image")
 Great. Now let us create our other inputs for `width` and `height`
 
 ```python
-from .baseinvocation import BaseInvocation, InputField, invocation
+from invokeai.app.invocations.baseinvocation import BaseInvocation, InputField, invocation
-from .primitives import ImageField
+from invokeai.app.invocations.primitives import ImageField
 
 @invocation('resize')
 class ResizeInvocation(BaseInvocation):
@@ -160,8 +160,8 @@ that are provided by it by InvokeAI.
 Let us create this function first.
 
 ```python
-from .baseinvocation import BaseInvocation, InputField, invocation
+from invokeai.app.invocations.baseinvocation import BaseInvocation, InputField, invocation, InvocationContext
-from .primitives import ImageField
+from invokeai.app.invocations.primitives import ImageField
 
 @invocation('resize')
 class ResizeInvocation(BaseInvocation):
@@ -189,9 +189,9 @@ all the necessary info related to image outputs. So let us use that.
 We will cover how to create your own output types later in this guide.
 
 ```python
-from .baseinvocation import BaseInvocation, InputField, invocation
+from invokeai.app.invocations.baseinvocation import BaseInvocation, InputField, invocation, InvocationContext
-from .primitives import ImageField
+from invokeai.app.invocations.primitives import ImageField
-from .image import ImageOutput
+from invokeai.app.invocations.image import ImageOutput
 
 @invocation('resize')
 class ResizeInvocation(BaseInvocation):
@@ -216,9 +216,9 @@ Perfect. Now that we have our Invocation setup, let us do what we want to do.
 So let's do that.
 
 ```python
-from .baseinvocation import BaseInvocation, InputField, invocation
+from invokeai.app.invocations.baseinvocation import BaseInvocation, InputField, invocation, InvocationContext
-from .primitives import ImageField
+from invokeai.app.invocations.primitives import ImageField
-from .image import ImageOutput
+from invokeai.app.invocations.image import ImageOutput, ResourceOrigin, ImageCategory
 
 @invocation("resize")
 class ResizeInvocation(BaseInvocation):

invokeai/frontend/web/dist/assets/ThemeLocaleProvider-9d17ef9a.js

@@ -1,4 +1,4 @@
-import{w as s,ie as T,v as l,_ as I,ig as R,aa as V,ih as z,ii as j,ij as D,ik as F,il as G,im as W,io as K,az as H,ip as U,iq as Y}from"./index-c553e366.js";import{M as Z}from"./MantineProvider-094ba0de.js";var P=String.raw,E=P`
+import{I as s,ie as T,v as l,$ as A,ig as R,aa as V,ih as z,ii as j,ij as D,ik as F,il as G,im as W,io as K,az as H,ip as U,iq as Y}from"./index-f820e2e3.js";import{M as Z}from"./MantineProvider-a6a1d85c.js";var P=String.raw,E=P`
   :root,
   :host {
     --chakra-vh: 100vh;
@@ -277,4 +277,4 @@ import{w as s,ie as T,v as l,_ as I,ig as R,aa as V,ih as z,ii as j,ij as D,ik a
       }
 
       ${E}
-    `}),g={light:"chakra-ui-light",dark:"chakra-ui-dark"};function Q(e={}){const{preventTransition:o=!0}=e,n={setDataset:r=>{const t=o?n.preventTransition():void 0;document.documentElement.dataset.theme=r,document.documentElement.style.colorScheme=r,t==null||t()},setClassName(r){document.body.classList.add(r?g.dark:g.light),document.body.classList.remove(r?g.light:g.dark)},query(){return window.matchMedia("(prefers-color-scheme: dark)")},getSystemTheme(r){var t;return((t=n.query().matches)!=null?t:r==="dark")?"dark":"light"},addListener(r){const t=n.query(),i=a=>{r(a.matches?"dark":"light")};return typeof t.addListener=="function"?t.addListener(i):t.addEventListener("change",i),()=>{typeof t.removeListener=="function"?t.removeListener(i):t.removeEventListener("change",i)}},preventTransition(){const r=document.createElement("style");return r.appendChild(document.createTextNode("*{-webkit-transition:none!important;-moz-transition:none!important;-o-transition:none!important;-ms-transition:none!important;transition:none!important}")),document.head.appendChild(r),()=>{window.getComputedStyle(document.body),requestAnimationFrame(()=>{requestAnimationFrame(()=>{document.head.removeChild(r)})})}}};return n}var X="chakra-ui-color-mode";function L(e){return{ssr:!1,type:"localStorage",get(o){if(!(globalThis!=null&&globalThis.document))return o;let n;try{n=localStorage.getItem(e)||o}catch{}return n||o},set(o){try{localStorage.setItem(e,o)}catch{}}}}var ee=L(X),M=()=>{};function S(e,o){return e.type==="cookie"&&e.ssr?e.get(o):o}function O(e){const{value:o,children:n,options:{useSystemColorMode:r,initialColorMode:t,disableTransitionOnChange:i}={},colorModeManager:a=ee}=e,d=t==="dark"?"dark":"light",[u,p]=l.useState(()=>S(a,d)),[y,b]=l.useState(()=>S(a)),{getSystemTheme:w,setClassName:k,setDataset:x,addListener:$}=l.useMemo(()=>Q({preventTransition:i}),[i]),v=t==="system"&&!u?y:u,c=l.useCallback(m=>{const f=m==="system"?w():m;p(f),k(f==="dark"),x(f),a.set(f)},[a,w,k,x]);I(()=>{t==="system"&&b(w())},[]),l.useEffect(()=>{const m=a.get();if(m){c(m);return}if(t==="system"){c("system");return}c(d)},[a,d,t,c]);const C=l.useCallback(()=>{c(v==="dark"?"light":"dark")},[v,c]);l.useEffect(()=>{if(r)return $(c)},[r,$,c]);const A=l.useMemo(()=>({colorMode:o??v,toggleColorMode:o?M:C,setColorMode:o?M:c,forced:o!==void 0}),[v,C,c,o]);return s.jsx(R.Provider,{value:A,children:n})}O.displayName="ColorModeProvider";var te=["borders","breakpoints","colors","components","config","direction","fonts","fontSizes","fontWeights","letterSpacings","lineHeights","radii","shadows","sizes","space","styles","transition","zIndices"];function re(e){return V(e)?te.every(o=>Object.prototype.hasOwnProperty.call(e,o)):!1}function h(e){return typeof e=="function"}function oe(...e){return o=>e.reduce((n,r)=>r(n),o)}var ne=e=>function(...n){let r=[...n],t=n[n.length-1];return re(t)&&r.length>1?r=r.slice(0,r.length-1):t=e,oe(...r.map(i=>a=>h(i)?i(a):ae(a,i)))(t)},ie=ne(j);function ae(...e){return z({},...e,_)}function _(e,o,n,r){if((h(e)||h(o))&&Object.prototype.hasOwnProperty.call(r,n))return(...t)=>{const i=h(e)?e(...t):e,a=h(o)?o(...t):o;return z({},i,a,_)}}var q=l.createContext({getDocument(){return document},getWindow(){return window}});q.displayName="EnvironmentContext";function N(e){const{children:o,environment:n,disabled:r}=e,t=l.useRef(null),i=l.useMemo(()=>n||{getDocument:()=>{var d,u;return(u=(d=t.current)==null?void 0:d.ownerDocument)!=null?u:document},getWindow:()=>{var d,u;return(u=(d=t.current)==null?void 0:d.ownerDocument.defaultView)!=null?u:window}},[n]),a=!r||!n;return s.jsxs(q.Provider,{value:i,children:[o,a&&s.jsx("span",{id:"__chakra_env",hidden:!0,ref:t})]})}N.displayName="EnvironmentProvider";var se=e=>{const{children:o,colorModeManager:n,portalZIndex:r,resetScope:t,resetCSS:i=!0,theme:a={},environment:d,cssVarsRoot:u,disableEnvironment:p,disableGlobalStyle:y}=e,b=s.jsx(N,{environment:d,disabled:p,children:o});return s.jsx(D,{theme:a,cssVarsRoot:u,children:s.jsxs(O,{colorModeManager:n,options:a.config,children:[i?s.jsx(J,{scope:t}):s.jsx(B,{}),!y&&s.jsx(F,{}),r?s.jsx(G,{zIndex:r,children:b}):b]})})},le=e=>function({children:n,theme:r=e,toastOptions:t,...i}){return s.jsxs(se,{theme:r,...i,children:[s.jsx(W,{value:t==null?void 0:t.defaultOptions,children:n}),s.jsx(K,{...t})]})},de=le(j);const ue=()=>l.useMemo(()=>({colorScheme:"dark",fontFamily:"'Inter Variable', sans-serif",components:{ScrollArea:{defaultProps:{scrollbarSize:10},styles:{scrollbar:{"&:hover":{backgroundColor:"var(--invokeai-colors-baseAlpha-300)"}},thumb:{backgroundColor:"var(--invokeai-colors-baseAlpha-300)"}}}}}),[]),ce=L("@@invokeai-color-mode");function me({children:e}){const{i18n:o}=H(),n=o.dir(),r=l.useMemo(()=>ie({...U,direction:n}),[n]);l.useEffect(()=>{document.body.dir=n},[n]);const t=ue();return s.jsx(Z,{theme:t,children:s.jsx(de,{theme:r,colorModeManager:ce,toastOptions:Y,children:e})})}const ve=l.memo(me);export{ve as default};
+    `}),g={light:"chakra-ui-light",dark:"chakra-ui-dark"};function Q(e={}){const{preventTransition:o=!0}=e,n={setDataset:r=>{const t=o?n.preventTransition():void 0;document.documentElement.dataset.theme=r,document.documentElement.style.colorScheme=r,t==null||t()},setClassName(r){document.body.classList.add(r?g.dark:g.light),document.body.classList.remove(r?g.light:g.dark)},query(){return window.matchMedia("(prefers-color-scheme: dark)")},getSystemTheme(r){var t;return((t=n.query().matches)!=null?t:r==="dark")?"dark":"light"},addListener(r){const t=n.query(),i=a=>{r(a.matches?"dark":"light")};return typeof t.addListener=="function"?t.addListener(i):t.addEventListener("change",i),()=>{typeof t.removeListener=="function"?t.removeListener(i):t.removeEventListener("change",i)}},preventTransition(){const r=document.createElement("style");return r.appendChild(document.createTextNode("*{-webkit-transition:none!important;-moz-transition:none!important;-o-transition:none!important;-ms-transition:none!important;transition:none!important}")),document.head.appendChild(r),()=>{window.getComputedStyle(document.body),requestAnimationFrame(()=>{requestAnimationFrame(()=>{document.head.removeChild(r)})})}}};return n}var X="chakra-ui-color-mode";function L(e){return{ssr:!1,type:"localStorage",get(o){if(!(globalThis!=null&&globalThis.document))return o;let n;try{n=localStorage.getItem(e)||o}catch{}return n||o},set(o){try{localStorage.setItem(e,o)}catch{}}}}var ee=L(X),M=()=>{};function S(e,o){return e.type==="cookie"&&e.ssr?e.get(o):o}function O(e){const{value:o,children:n,options:{useSystemColorMode:r,initialColorMode:t,disableTransitionOnChange:i}={},colorModeManager:a=ee}=e,d=t==="dark"?"dark":"light",[u,p]=l.useState(()=>S(a,d)),[y,b]=l.useState(()=>S(a)),{getSystemTheme:w,setClassName:k,setDataset:x,addListener:$}=l.useMemo(()=>Q({preventTransition:i}),[i]),v=t==="system"&&!u?y:u,c=l.useCallback(m=>{const f=m==="system"?w():m;p(f),k(f==="dark"),x(f),a.set(f)},[a,w,k,x]);A(()=>{t==="system"&&b(w())},[]),l.useEffect(()=>{const m=a.get();if(m){c(m);return}if(t==="system"){c("system");return}c(d)},[a,d,t,c]);const C=l.useCallback(()=>{c(v==="dark"?"light":"dark")},[v,c]);l.useEffect(()=>{if(r)return $(c)},[r,$,c]);const N=l.useMemo(()=>({colorMode:o??v,toggleColorMode:o?M:C,setColorMode:o?M:c,forced:o!==void 0}),[v,C,c,o]);return s.jsx(R.Provider,{value:N,children:n})}O.displayName="ColorModeProvider";var te=["borders","breakpoints","colors","components","config","direction","fonts","fontSizes","fontWeights","letterSpacings","lineHeights","radii","shadows","sizes","space","styles","transition","zIndices"];function re(e){return V(e)?te.every(o=>Object.prototype.hasOwnProperty.call(e,o)):!1}function h(e){return typeof e=="function"}function oe(...e){return o=>e.reduce((n,r)=>r(n),o)}var ne=e=>function(...n){let r=[...n],t=n[n.length-1];return re(t)&&r.length>1?r=r.slice(0,r.length-1):t=e,oe(...r.map(i=>a=>h(i)?i(a):ae(a,i)))(t)},ie=ne(j);function ae(...e){return z({},...e,_)}function _(e,o,n,r){if((h(e)||h(o))&&Object.prototype.hasOwnProperty.call(r,n))return(...t)=>{const i=h(e)?e(...t):e,a=h(o)?o(...t):o;return z({},i,a,_)}}var q=l.createContext({getDocument(){return document},getWindow(){return window}});q.displayName="EnvironmentContext";function I(e){const{children:o,environment:n,disabled:r}=e,t=l.useRef(null),i=l.useMemo(()=>n||{getDocument:()=>{var d,u;return(u=(d=t.current)==null?void 0:d.ownerDocument)!=null?u:document},getWindow:()=>{var d,u;return(u=(d=t.current)==null?void 0:d.ownerDocument.defaultView)!=null?u:window}},[n]),a=!r||!n;return s.jsxs(q.Provider,{value:i,children:[o,a&&s.jsx("span",{id:"__chakra_env",hidden:!0,ref:t})]})}I.displayName="EnvironmentProvider";var se=e=>{const{children:o,colorModeManager:n,portalZIndex:r,resetScope:t,resetCSS:i=!0,theme:a={},environment:d,cssVarsRoot:u,disableEnvironment:p,disableGlobalStyle:y}=e,b=s.jsx(I,{environment:d,disabled:p,children:o});return s.jsx(D,{theme:a,cssVarsRoot:u,children:s.jsxs(O,{colorModeManager:n,options:a.config,children:[i?s.jsx(J,{scope:t}):s.jsx(B,{}),!y&&s.jsx(F,{}),r?s.jsx(G,{zIndex:r,children:b}):b]})})},le=e=>function({children:n,theme:r=e,toastOptions:t,...i}){return s.jsxs(se,{theme:r,...i,children:[s.jsx(W,{value:t==null?void 0:t.defaultOptions,children:n}),s.jsx(K,{...t})]})},de=le(j);const ue=()=>l.useMemo(()=>({colorScheme:"dark",fontFamily:"'Inter Variable', sans-serif",components:{ScrollArea:{defaultProps:{scrollbarSize:10},styles:{scrollbar:{"&:hover":{backgroundColor:"var(--invokeai-colors-baseAlpha-300)"}},thumb:{backgroundColor:"var(--invokeai-colors-baseAlpha-300)"}}}}}),[]),ce=L("@@invokeai-color-mode");function me({children:e}){const{i18n:o}=H(),n=o.dir(),r=l.useMemo(()=>ie({...U,direction:n}),[n]);l.useEffect(()=>{document.body.dir=n},[n]);const t=ue();return s.jsx(Z,{theme:t,children:s.jsx(de,{theme:r,colorModeManager:ce,toastOptions:Y,children:e})})}const ve=l.memo(me);export{ve as default};

invokeai/frontend/web/dist/index.html

@@ -15,7 +15,7 @@
         margin: 0;
       }
     </style>
-    <script type="module" crossorigin src="./assets/index-c553e366.js"></script>
+    <script type="module" crossorigin src="./assets/index-f820e2e3.js"></script>
   </head>
 
   <body dir="ltr">

invokeai/frontend/web/dist/locales/de.json

@@ -113,7 +113,14 @@
         "images": "Bilder",
         "copy": "Kopieren",
         "download": "Runterladen",
-        "setCurrentImage": "Setze aktuelle Bild"
+        "setCurrentImage": "Setze aktuelle Bild",
+        "featuresWillReset": "Wenn Sie dieses Bild löschen, werden diese Funktionen sofort zurückgesetzt.",
+        "deleteImageBin": "Gelöschte Bilder werden an den Papierkorb Ihres Betriebssystems gesendet.",
+        "unableToLoad": "Galerie kann nicht geladen werden",
+        "downloadSelection": "Auswahl herunterladen",
+        "currentlyInUse": "Dieses Bild wird derzeit in den folgenden Funktionen verwendet:",
+        "deleteImagePermanent": "Gelöschte Bilder können nicht wiederhergestellt werden.",
+        "autoAssignBoardOnClick": "Board per Klick automatisch zuweisen"
     },
     "hotkeys": {
         "keyboardShortcuts": "Tastenkürzel",
@@ -323,7 +330,8 @@
         },
         "nodesHotkeys": "Knoten Tastenkürzel",
         "addNodes": {
-            "title": "Knotenpunkt hinzufügen"
+            "title": "Knotenpunkt hinzufügen",
+            "desc": "Öffnet das Menü zum Hinzufügen von Knoten"
         }
     },
     "modelManager": {
@@ -429,7 +437,43 @@
         "customConfigFileLocation": "Benutzerdefinierte Konfiguration Datei Speicherort",
         "baseModel": "Basis Modell",
         "convertToDiffusers": "Konvertiere zu Diffusers",
-        "diffusersModels": "Diffusers"
+        "diffusersModels": "Diffusers",
+        "noCustomLocationProvided": "Kein benutzerdefinierter Standort angegeben",
+        "onnxModels": "Onnx",
+        "vaeRepoID": "VAE-Repo-ID",
+        "weightedSum": "Gewichtete Summe",
+        "syncModelsDesc": "Wenn Ihre Modelle nicht mit dem Backend synchronisiert sind, können Sie sie mit dieser Option aktualisieren. Dies ist im Allgemeinen praktisch, wenn Sie Ihre models.yaml-Datei manuell aktualisieren oder Modelle zum InvokeAI-Stammordner hinzufügen, nachdem die Anwendung gestartet wurde.",
+        "vae": "VAE",
+        "noModels": "Keine Modelle gefunden",
+        "statusConverting": "Konvertieren",
+        "sigmoid": "Sigmoid",
+        "predictionType": "Vorhersagetyp (für Stable Diffusion 2.x-Modelle und gelegentliche Stable Diffusion 1.x-Modelle)",
+        "selectModel": "Wählen Sie Modell aus",
+        "repo_id": "Repo-ID",
+        "modelSyncFailed": "Modellsynchronisierung fehlgeschlagen",
+        "quickAdd": "Schnell hinzufügen",
+        "simpleModelDesc": "Geben Sie einen Pfad zu einem lokalen Diffusers-Modell, einem lokalen Checkpoint-/Safetensors-Modell, einer HuggingFace-Repo-ID oder einer Checkpoint-/Diffusers-Modell-URL an.",
+        "modelDeleted": "Modell gelöscht",
+        "inpainting": "v1 Ausmalen",
+        "modelUpdateFailed": "Modellaktualisierung fehlgeschlagen",
+        "useCustomConfig": "Benutzerdefinierte Konfiguration verwenden",
+        "settings": "Einstellungen",
+        "modelConversionFailed": "Modellkonvertierung fehlgeschlagen",
+        "syncModels": "Modelle synchronisieren",
+        "mergedModelSaveLocation": "Speicherort",
+        "modelType": "Modelltyp",
+        "modelsMerged": "Modelle zusammengeführt",
+        "modelsMergeFailed": "Modellzusammenführung fehlgeschlagen",
+        "convertToDiffusersHelpText1": "Dieses Modell wird in das 🧨 Diffusers-Format konvertiert.",
+        "modelsSynced": "Modelle synchronisiert",
+        "vaePrecision": "VAE-Präzision",
+        "mergeModels": "Modelle zusammenführen",
+        "interpolationType": "Interpolationstyp",
+        "oliveModels": "Olives",
+        "variant": "Variante",
+        "loraModels": "LoRAs",
+        "modelDeleteFailed": "Modell konnte nicht gelöscht werden",
+        "mergedModelName": "Zusammengeführter Modellname"
     },
     "parameters": {
         "images": "Bilder",
@@ -716,7 +760,33 @@
         "saveControlImage": "Speichere Referenz Bild",
         "safe": "Speichern",
         "ipAdapterImageFallback": "Kein IP Adapter Bild ausgewählt",
-        "resetIPAdapterImage": "Zurücksetzen vom IP Adapter Bild"
+        "resetIPAdapterImage": "Zurücksetzen vom IP Adapter Bild",
+        "pidi": "PIDI",
+        "normalBae": "Normales BAE",
+        "mlsdDescription": "Minimalistischer Liniensegmentdetektor",
+        "openPoseDescription": "Schätzung der menschlichen Pose mit Openpose",
+        "control": "Kontrolle",
+        "coarse": "Coarse",
+        "crop": "Zuschneiden",
+        "pidiDescription": "PIDI-Bildverarbeitung",
+        "mediapipeFace": "Mediapipe Gesichter",
+        "mlsd": "M-LSD",
+        "controlMode": "Steuermodus",
+        "cannyDescription": "Canny Ecken Erkennung",
+        "lineart": "Lineart",
+        "lineartAnimeDescription": "Lineart-Verarbeitung im Anime-Stil",
+        "minConfidence": "Minimales Vertrauen",
+        "megaControl": "Mega-Kontrolle",
+        "autoConfigure": "Prozessor automatisch konfigurieren",
+        "normalBaeDescription": "Normale BAE-Verarbeitung",
+        "noneDescription": "Es wurde keine Verarbeitung angewendet",
+        "openPose": "Openpose",
+        "lineartAnime": "Lineart Anime",
+        "mediapipeFaceDescription": "Gesichtserkennung mit Mediapipe",
+        "canny": "Canny",
+        "hedDescription": "Ganzheitlich verschachtelte Kantenerkennung",
+        "scribble": "Scribble",
+        "maxFaces": "Maximal Anzahl Gesichter"
     },
     "queue": {
         "status": "Status",
@@ -758,7 +828,19 @@
         "enqueueing": "Stapel in der Warteschlange",
         "queueMaxExceeded": "Maximum von  {{max_queue_size}} Elementen erreicht, würde {{skip}} Elemente überspringen",
         "cancelBatchFailed": "Problem beim Abbruch vom Stapel",
-        "clearQueueAlertDialog2": "bist du sicher die Warteschlange zu leeren?"
+        "clearQueueAlertDialog2": "bist du sicher die Warteschlange zu leeren?",
+        "pruneSucceeded": "{{item_count}} abgeschlossene Elemente aus der Warteschlange entfernt",
+        "pauseSucceeded": "Prozessor angehalten",
+        "cancelFailed": "Problem beim Stornieren des Auftrags",
+        "pauseFailed": "Problem beim Anhalten des Prozessors",
+        "front": "Vorne",
+        "pruneTooltip": "Bereinigen Sie {{item_count}} abgeschlossene Aufträge",
+        "resumeFailed": "Problem beim wieder aufnehmen von Prozessor",
+        "pruneFailed": "Problem beim leeren der Warteschlange",
+        "pauseTooltip": "Pause von Prozessor",
+        "back": "Hinten",
+        "resumeSucceeded": "Prozessor wieder aufgenommen",
+        "resumeTooltip": "Prozessor wieder aufnehmen"
     },
     "metadata": {
         "negativePrompt": "Negativ Beschreibung",
@@ -773,7 +855,20 @@
         "noMetaData": "Keine Meta-Data gefunden",
         "width": "Breite",
         "createdBy": "Erstellt von",
-        "steps": "Schritte"
+        "steps": "Schritte",
+        "seamless": "Nahtlos",
+        "positivePrompt": "Positiver Prompt",
+        "generationMode": "Generierungsmodus",
+        "Threshold": "Noise Schwelle",
+        "seed": "Samen",
+        "perlin": "Perlin Noise",
+        "hiresFix": "Optimierung für hohe Auflösungen",
+        "initImage": "Erstes Bild",
+        "variations": "Samengewichtspaare",
+        "vae": "VAE",
+        "workflow": "Arbeitsablauf",
+        "scheduler": "Scheduler",
+        "noRecallParameters": "Es wurden keine Parameter zum Abrufen gefunden"
     },
     "popovers": {
         "noiseUseCPU": {
@@ -811,11 +906,68 @@
         "misses": "Cache Nötig",
         "hits": "Cache Treffer",
         "enable": "Aktivieren",
-        "clear": "Leeren"
+        "clear": "Leeren",
+        "maxCacheSize": "Maximale Cache Größe",
+        "cacheSize": "Cache Größe"
     },
     "embedding": {
         "noMatchingEmbedding": "Keine passenden Embeddings",
         "addEmbedding": "Embedding hinzufügen",
         "incompatibleModel": "Inkompatibles Basismodell:"
+    },
+    "nodes": {
+        "booleanPolymorphicDescription": "Eine Sammlung boolescher Werte.",
+        "colorFieldDescription": "Eine RGBA-Farbe.",
+        "conditioningCollection": "Konditionierungssammlung",
+        "addNode": "Knoten hinzufügen",
+        "conditioningCollectionDescription": "Konditionierung kann zwischen Knoten weitergegeben werden.",
+        "colorPolymorphic": "Farbpolymorph",
+        "colorCodeEdgesHelp": "Farbkodieren Sie Kanten entsprechend ihren verbundenen Feldern",
+        "animatedEdges": "Animierte Kanten",
+        "booleanCollectionDescription": "Eine Sammlung boolescher Werte.",
+        "colorField": "Farbe",
+        "collectionItem": "Objekt in Sammlung",
+        "animatedEdgesHelp": "Animieren Sie ausgewählte Kanten und Kanten, die mit ausgewählten Knoten verbunden sind",
+        "cannotDuplicateConnection": "Es können keine doppelten Verbindungen erstellt werden",
+        "booleanPolymorphic": "Boolesche Polymorphie",
+        "colorPolymorphicDescription": "Eine Sammlung von Farben.",
+        "clipFieldDescription": "Tokenizer- und text_encoder-Untermodelle.",
+        "clipField": "Clip",
+        "colorCollection": "Eine Sammlung von Farben.",
+        "boolean": "Boolesche Werte",
+        "currentImage": "Aktuelles Bild",
+        "booleanDescription": "Boolesche Werte sind wahr oder falsch.",
+        "collection": "Sammlung",
+        "cannotConnectInputToInput": "Eingang kann nicht mit Eingang verbunden werden",
+        "conditioningField": "Konditionierung",
+        "cannotConnectOutputToOutput": "Ausgang kann nicht mit Ausgang verbunden werden",
+        "booleanCollection": "Boolesche Werte Sammlung",
+        "cannotConnectToSelf": "Es kann keine Verbindung zu sich selbst hergestellt werden",
+        "colorCodeEdges": "Farbkodierte Kanten",
+        "addNodeToolTip": "Knoten hinzufügen (Umschalt+A, Leertaste)"
+    },
+    "hrf": {
+        "enableHrf": "Aktivieren Sie die Korrektur für hohe Auflösungen",
+        "upscaleMethod": "Vergrößerungsmethoden",
+        "enableHrfTooltip": "Generieren Sie mit einer niedrigeren Anfangsauflösung, skalieren Sie auf die Basisauflösung hoch und führen Sie dann Image-to-Image aus.",
+        "metadata": {
+            "strength": "Hochauflösender Fix Stärke",
+            "enabled": "Hochauflösender Fix aktiviert",
+            "method": "Hochauflösender Fix Methode"
+        },
+        "hrf": "Hochauflösender Fix",
+        "hrfStrength": "Hochauflösende Fix Stärke",
+        "strengthTooltip": "Niedrigere Werte führen zu weniger Details, wodurch potenzielle Artefakte reduziert werden können."
+    },
+    "models": {
+        "noMatchingModels": "Keine passenden Modelle",
+        "loading": "lade",
+        "noMatchingLoRAs": "Keine passenden LoRAs",
+        "noLoRAsAvailable": "Keine LoRAs verfügbar",
+        "noModelsAvailable": "Keine Modelle verfügbar",
+        "selectModel": "Wählen ein Modell aus",
+        "noRefinerModelsInstalled": "Keine SDXL Refiner-Modelle installiert",
+        "noLoRAsInstalled": "Keine LoRAs installiert",
+        "selectLoRA": "Wählen ein LoRA aus"
     }
 }

invokeai/frontend/web/dist/locales/en.json

@@ -6,6 +6,7 @@
         "flipVertically": "Flip Vertically",
         "invokeProgressBar": "Invoke progress bar",
         "menu": "Menu",
+        "mode": "Mode",
         "modelSelect": "Model Select",
         "modifyConfig": "Modify Config",
         "nextImage": "Next Image",
@@ -30,6 +31,10 @@
         "cancel": "Cancel",
         "changeBoard": "Change Board",
         "clearSearch": "Clear Search",
+        "deleteBoard": "Delete Board",
+        "deleteBoardAndImages": "Delete Board and Images",
+        "deleteBoardOnly": "Delete Board Only",
+        "deletedBoardsCannotbeRestored": "Deleted boards cannot be restored",
         "loading": "Loading...",
         "menuItemAutoAdd": "Auto-add to this Board",
         "move": "Move",
@@ -51,9 +56,12 @@
         "cancel": "Cancel",
         "close": "Close",
         "on": "On",
+        "checkpoint": "Checkpoint",
         "communityLabel": "Community",
         "controlNet": "ControlNet",
         "controlAdapter": "Control Adapter",
+        "data": "Data",
+        "details": "Details",
         "ipAdapter": "IP Adapter",
         "t2iAdapter": "T2I Adapter",
         "darkMode": "Dark Mode",
@@ -65,6 +73,7 @@
         "imagePrompt": "Image Prompt",
         "imageFailedToLoad": "Unable to Load Image",
         "img2img": "Image To Image",
+        "inpaint": "inpaint",
         "langArabic": "العربية",
         "langBrPortuguese": "Português do Brasil",
         "langDutch": "Nederlands",
@@ -93,6 +102,8 @@
         "nodes": "Workflow Editor",
         "nodesDesc": "A node based system for the generation of images is under development currently. Stay tuned for updates about this amazing feature.",
         "openInNewTab": "Open in New Tab",
+        "outpaint": "outpaint",
+        "outputs": "Outputs",
         "postProcessDesc1": "Invoke AI offers a wide variety of post processing features. Image Upscaling and Face Restoration are already available in the WebUI. You can access them from the Advanced Options menu of the Text To Image and Image To Image tabs. You can also process images directly, using the image action buttons above the current image display or in the viewer.",
         "postProcessDesc2": "A dedicated UI will be released soon to facilitate more advanced post processing workflows.",
         "postProcessDesc3": "The Invoke AI Command Line Interface offers various other features including Embiggen.",
@@ -100,7 +111,9 @@
         "postProcessing": "Post Processing",
         "random": "Random",
         "reportBugLabel": "Report Bug",
+        "safetensors": "Safetensors",
         "settingsLabel": "Settings",
+        "simple": "Simple",
         "statusConnected": "Connected",
         "statusConvertingModel": "Converting Model",
         "statusDisconnected": "Disconnected",
@@ -127,6 +140,7 @@
         "statusSavingImage": "Saving Image",
         "statusUpscaling": "Upscaling",
         "statusUpscalingESRGAN": "Upscaling (ESRGAN)",
+        "template": "Template",
         "training": "Training",
         "trainingDesc1": "A dedicated workflow for training your own embeddings and checkpoints using Textual Inversion and Dreambooth from the web interface.",
         "trainingDesc2": "InvokeAI already supports training custom embeddourings using Textual Inversion using the main script.",
@@ -214,6 +228,7 @@
         "setControlImageDimensions": "Set Control Image Dimensions To W/H",
         "showAdvanced": "Show Advanced",
         "toggleControlNet": "Toggle this ControlNet",
+        "unstarImage": "Unstar Image",
         "w": "W",
         "weight": "Weight",
         "enableIPAdapter": "Enable IP Adapter",
@@ -279,6 +294,7 @@
         "next": "Next",
         "status": "Status",
         "total": "Total",
+        "time": "Time",
         "pending": "Pending",
         "in_progress": "In Progress",
         "completed": "Completed",
@@ -286,6 +302,7 @@
         "canceled": "Canceled",
         "completedIn": "Completed in",
         "batch": "Batch",
+        "batchFieldValues": "Batch Field Values",
         "item": "Item",
         "session": "Session",
         "batchValues": "Batch Values",
@@ -335,6 +352,7 @@
         "loading": "Loading",
         "loadMore": "Load More",
         "maintainAspectRatio": "Maintain Aspect Ratio",
+        "noImageSelected": "No Image Selected",
         "noImagesInGallery": "No Images to Display",
         "setCurrentImage": "Set as Current Image",
         "showGenerations": "Show Generations",
@@ -583,7 +601,7 @@
         "strength": "Image to image strength",
         "Threshold": "Noise Threshold",
         "variations": "Seed-weight pairs",
-        "vae": "VAE", 
+        "vae": "VAE",
         "width": "Width",
         "workflow": "Workflow"
     },
@@ -606,6 +624,7 @@
         "cannotUseSpaces": "Cannot Use Spaces",
         "checkpointFolder": "Checkpoint Folder",
         "checkpointModels": "Checkpoints",
+        "checkpointOrSafetensors": "$t(common.checkpoint) / $t(common.safetensors)",
         "clearCheckpointFolder": "Clear Checkpoint Folder",
         "closeAdvanced": "Close Advanced",
         "config": "Config",
@@ -685,6 +704,7 @@
         "nameValidationMsg": "Enter a name for your model",
         "noCustomLocationProvided": "No Custom Location Provided",
         "noModels": "No Models Found",
+        "noModelSelected": "No Model Selected",
         "noModelsFound": "No Models Found",
         "none": "none",
         "notLoaded": "not loaded",
@@ -730,6 +750,8 @@
         "widthValidationMsg": "Default width of your model."
     },
     "models": {
+        "addLora": "Add LoRA",
+        "esrganModel": "ESRGAN Model",
         "loading": "loading",
         "noLoRAsAvailable": "No LoRAs available",
         "noMatchingLoRAs": "No matching LoRAs",
@@ -1010,6 +1032,7 @@
         "maskAdjustmentsHeader": "Mask Adjustments",
         "maskBlur": "Blur",
         "maskBlurMethod": "Blur Method",
+        "maskEdge": "Mask Edge",
         "negativePromptPlaceholder": "Negative Prompt",
         "noiseSettings": "Noise",
         "noiseThreshold": "Noise Threshold",
@@ -1057,6 +1080,7 @@
         "upscale": "Upscale (Shift + U)",
         "upscaleImage": "Upscale Image",
         "upscaling": "Upscaling",
+        "unmasked": "Unmasked",
         "useAll": "Use All",
         "useCpuNoise": "Use CPU Noise",
         "cpuNoise": "CPU Noise",
@@ -1078,6 +1102,7 @@
         "dynamicPrompts": "Dynamic Prompts",
         "enableDynamicPrompts": "Enable Dynamic Prompts",
         "maxPrompts": "Max Prompts",
+        "promptsPreview": "Prompts Preview",
         "promptsWithCount_one": "{{count}} Prompt",
         "promptsWithCount_other": "{{count}} Prompts",
         "seedBehaviour": {
@@ -1117,7 +1142,10 @@
         "displayHelpIcons": "Display Help Icons",
         "displayInProgress": "Display Progress Images",
         "enableImageDebugging": "Enable Image Debugging",
+        "enableInformationalPopovers": "Enable Informational Popovers",
+        "enableInvisibleWatermark": "Enable Invisible Watermark",
         "enableNodesEditor": "Enable Nodes Editor",
+        "enableNSFWChecker": "Enable NSFW Checker",
         "experimental": "Experimental",
         "favoriteSchedulers": "Favorite Schedulers",
         "favoriteSchedulersPlaceholder": "No schedulers favorited",
@@ -1217,7 +1245,8 @@
         "sentToImageToImage": "Sent To Image To Image",
         "sentToUnifiedCanvas": "Sent to Unified Canvas",
         "serverError": "Server Error",
-        "setCanvasInitialImage": "Set as canvas initial image",
+        "setAsCanvasInitialImage": "Set as canvas initial image",
+        "setCanvasInitialImage": "Set canvas initial image",
         "setControlImage": "Set as control image",
         "setIPAdapterImage": "Set as IP Adapter Image",
         "setInitialImage": "Set as initial image",
@@ -1275,11 +1304,15 @@
         },
         "compositingBlur": {
             "heading": "Blur",
-            "paragraphs": ["The blur radius of the mask."]
+            "paragraphs": [
+                "The blur radius of the mask."
+            ]
         },
         "compositingBlurMethod": {
             "heading": "Blur Method",
-            "paragraphs": ["The method of blur applied to the masked area."]
+            "paragraphs": [
+                "The method of blur applied to the masked area."
+            ]
         },
         "compositingCoherencePass": {
             "heading": "Coherence Pass",
@@ -1289,7 +1322,9 @@
         },
         "compositingCoherenceMode": {
             "heading": "Mode",
-            "paragraphs": ["The mode of the Coherence Pass."]
+            "paragraphs": [
+                "The mode of the Coherence Pass."
+            ]
         },
         "compositingCoherenceSteps": {
             "heading": "Steps",
@@ -1307,7 +1342,9 @@
         },
         "compositingMaskAdjustments": {
             "heading": "Mask Adjustments",
-            "paragraphs": ["Adjust the mask."]
+            "paragraphs": [
+                "Adjust the mask."
+            ]
         },
         "controlNetBeginEnd": {
             "heading": "Begin / End Step Percentage",
@@ -1365,7 +1402,9 @@
         },
         "infillMethod": {
             "heading": "Infill Method",
-            "paragraphs": ["Method to infill the selected area."]
+            "paragraphs": [
+                "Method to infill the selected area."
+            ]
         },
         "lora": {
             "heading": "LoRA Weight",

invokeai/frontend/web/public/locales/it.json

@@ -395,7 +395,7 @@
         "deleteModel": "Elimina modello",
         "deleteConfig": "Elimina configurazione",
         "deleteMsg1": "Sei sicuro di voler eliminare questo modello da InvokeAI?",
-        "deleteMsg2": "Questo eliminerà il modello dal disco se si trova nella cartella principale di InvokeAI. Se utilizzi una cartella personalizzata, il modello NON verrà eliminato dal disco.",
+        "deleteMsg2": "Questo eliminerà il modello dal disco se si trova nella cartella principale di InvokeAI. Se invece utilizzi una cartella personalizzata, il modello NON verrà eliminato dal disco.",
         "formMessageDiffusersModelLocation": "Ubicazione modelli diffusori",
         "formMessageDiffusersModelLocationDesc": "Inseriscine almeno uno.",
         "formMessageDiffusersVAELocation": "Ubicazione file VAE",
@@ -429,7 +429,7 @@
         "mergedModelSaveLocation": "Ubicazione salvataggio",
         "convertToDiffusersHelpText1": "Questo modello verrà convertito nel formato 🧨 Diffusore.",
         "custom": "Personalizzata",
-        "convertToDiffusersHelpText3": "Il file checkpoint su disco SARÀ eliminato se si trova nella cartella principale di InvokeAI. Se si trova in una posizione personalizzata, NON verrà eliminato.",
+        "convertToDiffusersHelpText3": "Il file Checkpoint su disco verrà eliminato se si trova nella cartella principale di InvokeAI. Se si trova invece in una posizione personalizzata, NON verrà eliminato.",
         "v1": "v1",
         "pathToCustomConfig": "Percorso alla configurazione personalizzata",
         "modelThree": "Modello 3",
@@ -456,7 +456,7 @@
         "modelDeleteFailed": "Impossibile eliminare il modello",
         "noCustomLocationProvided": "Nessuna posizione personalizzata fornita",
         "convertingModelBegin": "Conversione del modello. Attendere prego.",
-        "importModels": "Importa modelli",
+        "importModels": "Importa Modelli",
         "modelsSynced": "Modelli sincronizzati",
         "modelSyncFailed": "Sincronizzazione modello non riuscita",
         "settings": "Impostazioni",
@@ -1026,7 +1026,11 @@
         "unableToParseEdge": "Impossibile analizzare il bordo",
         "latentsCollectionDescription": "Le immagini latenti possono essere passate tra i nodi.",
         "imageCollection": "Raccolta Immagini",
-        "loRAModelField": "LoRA"
+        "loRAModelField": "LoRA",
+        "updateAllNodes": "Aggiorna tutti i nodi",
+        "unableToUpdateNodes_one": "Impossibile aggiornare {{count}} nodo",
+        "unableToUpdateNodes_many": "Impossibile aggiornare {{count}} nodi",
+        "unableToUpdateNodes_other": "Impossibile aggiornare {{count}} nodi"
     },
     "boards": {
         "autoAddBoard": "Aggiungi automaticamente bacheca",

invokeai/frontend/web/public/locales/ja.json

@@ -438,7 +438,15 @@
         "useSeed": "シード値を使用",
         "useAll": "すべてを使用",
         "info": "情報",
-        "showOptionsPanel": "オプションパネルを表示"
+        "showOptionsPanel": "オプションパネルを表示",
+        "aspectRatioFree": "自由",
+        "invoke": {
+            "noControlImageForControlAdapter": "コントロールアダプター #{{number}} に画像がありません",
+            "noModelForControlAdapter": "コントロールアダプター #{{number}} のモデルが選択されていません。"
+        },
+        "aspectRatio": "縦横比",
+        "iterations": "生成回数",
+        "general": "基本設定"
     },
     "settings": {
         "models": "モデル",
@@ -603,7 +611,7 @@
         "delete": "削除",
         "controlAdapter_other": "コントロールアダプター",
         "colorMapTileSize": "タイルサイズ",
-        "ipAdapterImageFallback": "IP Adapterの画像が選択されていません",
+        "ipAdapterImageFallback": "IPアダプターの画像が選択されていません",
         "mediapipeFaceDescription": "Mediapipeを使用して顔を検出",
         "depthZoeDescription": "Zoeを使用して深度マップを生成",
         "setControlImageDimensions": "コントロール画像のサイズを幅と高さにセット",
@@ -812,5 +820,13 @@
         "clear": "クリア",
         "maxCacheSize": "最大キャッシュサイズ",
         "cacheSize": "キャッシュサイズ"
+    },
+    "popovers": {
+        "paramRatio": {
+            "heading": "縦横比",
+            "paragraphs": [
+                "生成された画像の縦横比。"
+            ]
+        }
     }
 }

invokeai/version/invokeai_version.py

@@ -1 +1 @@
-__version__ = "3.4.0post1"
+__version__ = "3.4.0post2"