wip

We need to hold onto the original type of the field so they don't all just show up as "Unknown".

docs/nodes/exampleWorkflows.md

@@ -7,12 +7,12 @@ To use them, right click on your desired workflow, follow the link to GitHub and
 If you're interested in finding more workflows, checkout the [#share-your-workflows](https://discord.com/channels/1020123559063990373/1130291608097661000) channel in the InvokeAI Discord.
 
 * [SD1.5 / SD2 Text to Image](https://github.com/invoke-ai/InvokeAI/blob/main/docs/workflows/Text_to_Image.json)
-* [SDXL Text to Image](https://github.com/invoke-ai/InvokeAI/blob/main/docs/workflows/SDXL_Text_to_Image.json)
-* [SDXL Text to Image with Refiner](https://github.com/invoke-ai/InvokeAI/blob/main/docs/workflows/SDXL_w_Refiner_Text_to_Image.json)
-* [Multi ControlNet (Canny & Depth)](https://github.com/invoke-ai/InvokeAI/blob/main/docs/workflows/Multi_ControlNet_Canny_and_Depth.json)
+* [SDXL Text to Image](https://github.com/invoke-ai/InvokeAI/blob/docs/main/docs/workflows/SDXL_Text_to_Image.json)
+* [SDXL Text to Image with Refiner](https://github.com/invoke-ai/InvokeAI/blob/docs/main/docs/workflows/SDXL_w_Refiner_Text_to_Image.json)
+* [Multi ControlNet (Canny & Depth)](https://github.com/invoke-ai/InvokeAI/blob/docs/main/docs/workflows/Multi_ControlNet_Canny_and_Depth.json)
 * [Tiled Upscaling with ControlNet](https://github.com/invoke-ai/InvokeAI/blob/main/docs/workflows/ESRGAN_img2img_upscale_w_Canny_ControlNet.json)
-* [Prompt From File](https://github.com/invoke-ai/InvokeAI/blob/main/docs/workflows/Prompt_from_File.json)
-* [Face Detailer with IP-Adapter & ControlNet](https://github.com/invoke-ai/InvokeAI/blob/main/docs/workflows/Face_Detailer_with_IP-Adapter_and_Canny.json)
+* [Prompt From File](https://github.com/invoke-ai/InvokeAI/blob/docs/main/docs/workflows/Prompt_from_File.json)
+* [Face Detailer with IP-Adapter & ControlNet](https://github.com/invoke-ai/InvokeAI/blob/docs/main/docs/workflows/Face_Detailer_with_IP-Adapter_and_Canny.json.json)
 * [FaceMask](https://github.com/invoke-ai/InvokeAI/blob/main/docs/workflows/FaceMask.json)
 * [FaceOff with 2x Face Scaling](https://github.com/invoke-ai/InvokeAI/blob/main/docs/workflows/FaceOff_FaceScale2x.json)
-* [QR Code Monster](https://github.com/invoke-ai/InvokeAI/blob/main/docs/workflows/QR_Code_Monster.json)
+* [QR Code Monster](https://github.com/invoke-ai/InvokeAI/blob/docs/main/docs/workflows/QR_Code_Monster.json)

invokeai/app/invocations/latent.py

@@ -706,6 +706,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
             )
             with (
                 ExitStack() as exit_stack,
+                ModelPatcher.apply_lora_unet(unet_info.context.model, _lora_loader()),
                 ModelPatcher.apply_freeu(unet_info.context.model, self.unet.freeu_config),
                 set_seamless(unet_info.context.model, self.unet.seamless_axes),
                 unet_info as unet,

invokeai/frontend/web/dist/assets/ThemeLocaleProvider-37ef62a0.js

@@ -1,4 +1,4 @@
-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`
+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`
   :root,
   :host {
     --chakra-vh: 100vh;
@@ -277,4 +277,4 @@ 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 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]);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};
+    `}),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};

invokeai/frontend/web/dist/index.html

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

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

@@ -113,14 +113,7 @@
         "images": "Bilder",
         "copy": "Kopieren",
         "download": "Runterladen",
-        "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"
+        "setCurrentImage": "Setze aktuelle Bild"
     },
     "hotkeys": {
         "keyboardShortcuts": "Tastenkürzel",
@@ -330,8 +323,7 @@
         },
         "nodesHotkeys": "Knoten Tastenkürzel",
         "addNodes": {
-            "title": "Knotenpunkt hinzufügen",
-            "desc": "Öffnet das Menü zum Hinzufügen von Knoten"
+            "title": "Knotenpunkt hinzufügen"
         }
     },
     "modelManager": {
@@ -437,43 +429,7 @@
         "customConfigFileLocation": "Benutzerdefinierte Konfiguration Datei Speicherort",
         "baseModel": "Basis Modell",
         "convertToDiffusers": "Konvertiere zu 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"
+        "diffusersModels": "Diffusers"
     },
     "parameters": {
         "images": "Bilder",
@@ -760,33 +716,7 @@
         "saveControlImage": "Speichere Referenz Bild",
         "safe": "Speichern",
         "ipAdapterImageFallback": "Kein IP Adapter Bild ausgewählt",
-        "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"
+        "resetIPAdapterImage": "Zurücksetzen vom IP Adapter Bild"
     },
     "queue": {
         "status": "Status",
@@ -828,19 +758,7 @@
         "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?",
-        "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"
+        "clearQueueAlertDialog2": "bist du sicher die Warteschlange zu leeren?"
     },
     "metadata": {
         "negativePrompt": "Negativ Beschreibung",
@@ -855,20 +773,7 @@
         "noMetaData": "Keine Meta-Data gefunden",
         "width": "Breite",
         "createdBy": "Erstellt von",
-        "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"
+        "steps": "Schritte"
     },
     "popovers": {
         "noiseUseCPU": {
@@ -906,68 +811,11 @@
         "misses": "Cache Nötig",
         "hits": "Cache Treffer",
         "enable": "Aktivieren",
-        "clear": "Leeren",
-        "maxCacheSize": "Maximale Cache Größe",
-        "cacheSize": "Cache Größe"
+        "clear": "Leeren"
     },
     "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

@@ -6,7 +6,6 @@
         "flipVertically": "Flip Vertically",
         "invokeProgressBar": "Invoke progress bar",
         "menu": "Menu",
-        "mode": "Mode",
         "modelSelect": "Model Select",
         "modifyConfig": "Modify Config",
         "nextImage": "Next Image",
@@ -31,10 +30,6 @@
         "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",
@@ -56,12 +51,9 @@
         "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",
@@ -73,7 +65,6 @@
         "imagePrompt": "Image Prompt",
         "imageFailedToLoad": "Unable to Load Image",
         "img2img": "Image To Image",
-        "inpaint": "inpaint",
         "langArabic": "العربية",
         "langBrPortuguese": "Português do Brasil",
         "langDutch": "Nederlands",
@@ -102,8 +93,6 @@
         "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.",
@@ -111,9 +100,7 @@
         "postProcessing": "Post Processing",
         "random": "Random",
         "reportBugLabel": "Report Bug",
-        "safetensors": "Safetensors",
         "settingsLabel": "Settings",
-        "simple": "Simple",
         "statusConnected": "Connected",
         "statusConvertingModel": "Converting Model",
         "statusDisconnected": "Disconnected",
@@ -140,7 +127,6 @@
         "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.",
@@ -228,7 +214,6 @@
         "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",
@@ -294,7 +279,6 @@
         "next": "Next",
         "status": "Status",
         "total": "Total",
-        "time": "Time",
         "pending": "Pending",
         "in_progress": "In Progress",
         "completed": "Completed",
@@ -302,7 +286,6 @@
         "canceled": "Canceled",
         "completedIn": "Completed in",
         "batch": "Batch",
-        "batchFieldValues": "Batch Field Values",
         "item": "Item",
         "session": "Session",
         "batchValues": "Batch Values",
@@ -352,7 +335,6 @@
         "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",
@@ -601,7 +583,7 @@
         "strength": "Image to image strength",
         "Threshold": "Noise Threshold",
         "variations": "Seed-weight pairs",
-        "vae": "VAE",
+        "vae": "VAE", 
         "width": "Width",
         "workflow": "Workflow"
     },
@@ -624,7 +606,6 @@
         "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",
@@ -704,7 +685,6 @@
         "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",
@@ -750,8 +730,6 @@
         "widthValidationMsg": "Default width of your model."
     },
     "models": {
-        "addLora": "Add LoRA",
-        "esrganModel": "ESRGAN Model",
         "loading": "loading",
         "noLoRAsAvailable": "No LoRAs available",
         "noMatchingLoRAs": "No matching LoRAs",
@@ -1032,7 +1010,6 @@
         "maskAdjustmentsHeader": "Mask Adjustments",
         "maskBlur": "Blur",
         "maskBlurMethod": "Blur Method",
-        "maskEdge": "Mask Edge",
         "negativePromptPlaceholder": "Negative Prompt",
         "noiseSettings": "Noise",
         "noiseThreshold": "Noise Threshold",
@@ -1080,7 +1057,6 @@
         "upscale": "Upscale (Shift + U)",
         "upscaleImage": "Upscale Image",
         "upscaling": "Upscaling",
-        "unmasked": "Unmasked",
         "useAll": "Use All",
         "useCpuNoise": "Use CPU Noise",
         "cpuNoise": "CPU Noise",
@@ -1102,7 +1078,6 @@
         "dynamicPrompts": "Dynamic Prompts",
         "enableDynamicPrompts": "Enable Dynamic Prompts",
         "maxPrompts": "Max Prompts",
-        "promptsPreview": "Prompts Preview",
         "promptsWithCount_one": "{{count}} Prompt",
         "promptsWithCount_other": "{{count}} Prompts",
         "seedBehaviour": {
@@ -1142,10 +1117,7 @@
         "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",
@@ -1245,8 +1217,7 @@
         "sentToImageToImage": "Sent To Image To Image",
         "sentToUnifiedCanvas": "Sent to Unified Canvas",
         "serverError": "Server Error",
-        "setAsCanvasInitialImage": "Set as canvas initial image",
-        "setCanvasInitialImage": "Set canvas initial image",
+        "setCanvasInitialImage": "Set as canvas initial image",
         "setControlImage": "Set as control image",
         "setIPAdapterImage": "Set as IP Adapter Image",
         "setInitialImage": "Set as initial image",
@@ -1304,15 +1275,11 @@
         },
         "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",
@@ -1322,9 +1289,7 @@
         },
         "compositingCoherenceMode": {
             "heading": "Mode",
-            "paragraphs": [
-                "The mode of the Coherence Pass."
-            ]
+            "paragraphs": ["The mode of the Coherence Pass."]
         },
         "compositingCoherenceSteps": {
             "heading": "Steps",
@@ -1342,9 +1307,7 @@
         },
         "compositingMaskAdjustments": {
             "heading": "Mask Adjustments",
-            "paragraphs": [
-                "Adjust the mask."
-            ]
+            "paragraphs": ["Adjust the mask."]
         },
         "controlNetBeginEnd": {
             "heading": "Begin / End Step Percentage",
@@ -1402,9 +1365,7 @@
         },
         "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/de.json

@@ -113,14 +113,7 @@
         "images": "Bilder",
         "copy": "Kopieren",
         "download": "Runterladen",
-        "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"
+        "setCurrentImage": "Setze aktuelle Bild"
     },
     "hotkeys": {
         "keyboardShortcuts": "Tastenkürzel",
@@ -330,8 +323,7 @@
         },
         "nodesHotkeys": "Knoten Tastenkürzel",
         "addNodes": {
-            "title": "Knotenpunkt hinzufügen",
-            "desc": "Öffnet das Menü zum Hinzufügen von Knoten"
+            "title": "Knotenpunkt hinzufügen"
         }
     },
     "modelManager": {
@@ -437,43 +429,7 @@
         "customConfigFileLocation": "Benutzerdefinierte Konfiguration Datei Speicherort",
         "baseModel": "Basis Modell",
         "convertToDiffusers": "Konvertiere zu 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"
+        "diffusersModels": "Diffusers"
     },
     "parameters": {
         "images": "Bilder",
@@ -760,33 +716,7 @@
         "saveControlImage": "Speichere Referenz Bild",
         "safe": "Speichern",
         "ipAdapterImageFallback": "Kein IP Adapter Bild ausgewählt",
-        "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"
+        "resetIPAdapterImage": "Zurücksetzen vom IP Adapter Bild"
     },
     "queue": {
         "status": "Status",
@@ -828,19 +758,7 @@
         "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?",
-        "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"
+        "clearQueueAlertDialog2": "bist du sicher die Warteschlange zu leeren?"
     },
     "metadata": {
         "negativePrompt": "Negativ Beschreibung",
@@ -855,20 +773,7 @@
         "noMetaData": "Keine Meta-Data gefunden",
         "width": "Breite",
         "createdBy": "Erstellt von",
-        "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"
+        "steps": "Schritte"
     },
     "popovers": {
         "noiseUseCPU": {
@@ -906,68 +811,11 @@
         "misses": "Cache Nötig",
         "hits": "Cache Treffer",
         "enable": "Aktivieren",
-        "clear": "Leeren",
-        "maxCacheSize": "Maximale Cache Größe",
-        "cacheSize": "Cache Größe"
+        "clear": "Leeren"
     },
     "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/public/locales/en.json

@@ -6,7 +6,6 @@
         "flipVertically": "Flip Vertically",
         "invokeProgressBar": "Invoke progress bar",
         "menu": "Menu",
-        "mode": "Mode",
         "modelSelect": "Model Select",
         "modifyConfig": "Modify Config",
         "nextImage": "Next Image",
@@ -31,10 +30,6 @@
         "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",
@@ -54,14 +49,12 @@
         "back": "Back",
         "batch": "Batch Manager",
         "cancel": "Cancel",
+        "clickToEdit": "Click to Edit",
         "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",
@@ -73,7 +66,6 @@
         "imagePrompt": "Image Prompt",
         "imageFailedToLoad": "Unable to Load Image",
         "img2img": "Image To Image",
-        "inpaint": "inpaint",
         "langArabic": "العربية",
         "langBrPortuguese": "Português do Brasil",
         "langDutch": "Nederlands",
@@ -102,8 +94,6 @@
         "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.",
@@ -111,9 +101,7 @@
         "postProcessing": "Post Processing",
         "random": "Random",
         "reportBugLabel": "Report Bug",
-        "safetensors": "Safetensors",
         "settingsLabel": "Settings",
-        "simple": "Simple",
         "statusConnected": "Connected",
         "statusConvertingModel": "Converting Model",
         "statusDisconnected": "Disconnected",
@@ -140,7 +128,6 @@
         "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.",
@@ -228,7 +215,6 @@
         "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",
@@ -294,7 +280,6 @@
         "next": "Next",
         "status": "Status",
         "total": "Total",
-        "time": "Time",
         "pending": "Pending",
         "in_progress": "In Progress",
         "completed": "Completed",
@@ -302,7 +287,6 @@
         "canceled": "Canceled",
         "completedIn": "Completed in",
         "batch": "Batch",
-        "batchFieldValues": "Batch Field Values",
         "item": "Item",
         "session": "Session",
         "batchValues": "Batch Values",
@@ -352,7 +336,6 @@
         "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",
@@ -601,7 +584,7 @@
         "strength": "Image to image strength",
         "Threshold": "Noise Threshold",
         "variations": "Seed-weight pairs",
-        "vae": "VAE",
+        "vae": "VAE", 
         "width": "Width",
         "workflow": "Workflow"
     },
@@ -624,7 +607,6 @@
         "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",
@@ -704,7 +686,6 @@
         "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",
@@ -750,8 +731,6 @@
         "widthValidationMsg": "Default width of your model."
     },
     "models": {
-        "addLora": "Add LoRA",
-        "esrganModel": "ESRGAN Model",
         "loading": "loading",
         "noLoRAsAvailable": "No LoRAs available",
         "noMatchingLoRAs": "No matching LoRAs",
@@ -875,7 +854,7 @@
         "noConnectionData": "No connection data",
         "noConnectionInProgress": "No connection in progress",
         "node": "Node",
-        "nodeOutputs": "Node Outputs",
+        "nodeOutputs": "Node Results",
         "nodeSearch": "Search for nodes",
         "nodeTemplate": "Node Template",
         "nodeType": "Node Type",
@@ -885,9 +864,9 @@
         "noMatchingNodes": "No matching nodes",
         "noNodeSelected": "No node selected",
         "nodeOpacity": "Node Opacity",
-        "noOutputRecorded": "No outputs recorded",
+        "noOutputRecorded": "No results recorded",
         "noOutputSchemaName": "No output schema name found in ref object",
-        "notes": "Notes",
+        "notes": "Node Notes",
         "notesDescription": "Add notes about your workflow",
         "oNNXModelField": "ONNX Model",
         "oNNXModelFieldDescription": "ONNX model field.",
@@ -965,7 +944,12 @@
         "workflowValidation": "Workflow Validation Error",
         "workflowVersion": "Version",
         "zoomInNodes": "Zoom In",
-        "zoomOutNodes": "Zoom Out"
+        "zoomOutNodes": "Zoom Out",
+        "tabDetails": "Details",
+        "tabNotes": "Notes",
+        "tabResults": "Results",
+        "tabData": "Data",
+        "tabTemplate": "Template"
     },
     "parameters": {
         "aspectRatio": "Aspect Ratio",
@@ -1032,7 +1016,6 @@
         "maskAdjustmentsHeader": "Mask Adjustments",
         "maskBlur": "Blur",
         "maskBlurMethod": "Blur Method",
-        "maskEdge": "Mask Edge",
         "negativePromptPlaceholder": "Negative Prompt",
         "noiseSettings": "Noise",
         "noiseThreshold": "Noise Threshold",
@@ -1080,7 +1063,6 @@
         "upscale": "Upscale (Shift + U)",
         "upscaleImage": "Upscale Image",
         "upscaling": "Upscaling",
-        "unmasked": "Unmasked",
         "useAll": "Use All",
         "useCpuNoise": "Use CPU Noise",
         "cpuNoise": "CPU Noise",
@@ -1102,7 +1084,6 @@
         "dynamicPrompts": "Dynamic Prompts",
         "enableDynamicPrompts": "Enable Dynamic Prompts",
         "maxPrompts": "Max Prompts",
-        "promptsPreview": "Prompts Preview",
         "promptsWithCount_one": "{{count}} Prompt",
         "promptsWithCount_other": "{{count}} Prompts",
         "seedBehaviour": {
@@ -1142,10 +1123,7 @@
         "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",
@@ -1245,8 +1223,7 @@
         "sentToImageToImage": "Sent To Image To Image",
         "sentToUnifiedCanvas": "Sent to Unified Canvas",
         "serverError": "Server Error",
-        "setAsCanvasInitialImage": "Set as canvas initial image",
-        "setCanvasInitialImage": "Set canvas initial image",
+        "setCanvasInitialImage": "Set as canvas initial image",
         "setControlImage": "Set as control image",
         "setIPAdapterImage": "Set as IP Adapter Image",
         "setInitialImage": "Set as initial image",
@@ -1304,15 +1281,11 @@
         },
         "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",
@@ -1322,9 +1295,7 @@
         },
         "compositingCoherenceMode": {
             "heading": "Mode",
-            "paragraphs": [
-                "The mode of the Coherence Pass."
-            ]
+            "paragraphs": ["The mode of the Coherence Pass."]
         },
         "compositingCoherenceSteps": {
             "heading": "Steps",
@@ -1342,9 +1313,7 @@
         },
         "compositingMaskAdjustments": {
             "heading": "Mask Adjustments",
-            "paragraphs": [
-                "Adjust the mask."
-            ]
+            "paragraphs": ["Adjust the mask."]
         },
         "controlNetBeginEnd": {
             "heading": "Begin / End Step Percentage",
@@ -1402,9 +1371,7 @@
         },
         "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/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts

@@ -79,7 +79,7 @@ export const addImageUploadedFulfilledListener = () => {
         dispatch(
           addToast({
             ...DEFAULT_UPLOADED_TOAST,
-            description: t('toast.setAsCanvasInitialImage'),
+            description: t('toast.setCanvasInitialImage'),
           })
         );
         return;

invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsPreview.tsx

@@ -17,7 +17,6 @@ import IAIInformationalPopover from 'common/components/IAIInformationalPopover/I
 import ScrollableContent from 'features/nodes/components/sidePanel/ScrollableContent';
 import { memo } from 'react';
 import { FaCircleExclamation } from 'react-icons/fa6';
-import { useTranslation } from 'react-i18next';
 
 const selector = createSelector(
   stateSelector,
@@ -39,7 +38,6 @@ const listItemStyles: ChakraProps['sx'] = {
 };
 
 const ParamDynamicPromptsPreview = () => {
-  const { t } = useTranslation();
   const { prompts, parsingError, isLoading, isError } =
     useAppSelector(selector);
 
@@ -71,7 +69,7 @@ const ParamDynamicPromptsPreview = () => {
           overflow="hidden"
           textOverflow="ellipsis"
         >
-          {t('dynamicPrompts.promptsPreview')} ({prompts.length})
+          Prompts Preview ({prompts.length})
           {parsingError && ` - ${parsingError}`}
         </FormLabel>
         <Flex

invokeai/frontend/web/src/features/gallery/components/Boards/DeleteBoardModal.tsx

@@ -115,7 +115,7 @@ const DeleteBoardModal = (props: Props) => {
       <AlertDialogOverlay>
         <AlertDialogContent>
           <AlertDialogHeader fontSize="lg" fontWeight="bold">
-            {t('controlnet.delete')} {boardToDelete.board_name}
+            Delete {boardToDelete.board_name}
           </AlertDialogHeader>
 
           <AlertDialogBody>
@@ -136,7 +136,7 @@ const DeleteBoardModal = (props: Props) => {
                   bottomMessage={t('boards.bottomMessage')}
                 />
               )}
-              <Text>{t('boards.deletedBoardsCannotbeRestored')}</Text>
+              <Text>Deleted boards cannot be restored.</Text>
               <Text>
                 {canRestoreDeletedImagesFromBin
                   ? t('gallery.deleteImageBin')
@@ -149,21 +149,21 @@ const DeleteBoardModal = (props: Props) => {
               sx={{ justifyContent: 'space-between', width: 'full', gap: 2 }}
             >
               <IAIButton ref={cancelRef} onClick={handleClose}>
-                {t('boards.cancel')}
+                Cancel
               </IAIButton>
               <IAIButton
                 colorScheme="warning"
                 isLoading={isLoading}
                 onClick={handleDeleteBoardOnly}
               >
-                {t('boards.deleteBoardOnly')}
+                Delete Board Only
               </IAIButton>
               <IAIButton
                 colorScheme="error"
                 isLoading={isLoading}
                 onClick={handleDeleteBoardAndImages}
               >
-                {t('boards.deleteBoardAndImages')}
+                Delete Board and Images
               </IAIButton>
             </Flex>
           </AlertDialogFooter>

invokeai/frontend/web/src/features/gallery/components/Boards/GalleryBoardContextMenuItems.tsx

@@ -2,14 +2,13 @@ import { MenuItem } from '@chakra-ui/react';
 import { memo, useCallback } from 'react';
 import { FaTrash } from 'react-icons/fa';
 import { BoardDTO } from 'services/api/types';
-import { useTranslation } from 'react-i18next';
+
 type Props = {
   board: BoardDTO;
   setBoardToDelete?: (board?: BoardDTO) => void;
 };
 
 const GalleryBoardContextMenuItems = ({ board, setBoardToDelete }: Props) => {
-  const { t } = useTranslation();
   const handleDelete = useCallback(() => {
     if (!setBoardToDelete) {
       return;
@@ -35,7 +34,7 @@ const GalleryBoardContextMenuItems = ({ board, setBoardToDelete }: Props) => {
         icon={<FaTrash />}
         onClick={handleDelete}
       >
-        {t('boards.deleteBoard')}
+        Delete Board
       </MenuItem>
     </>
   );

invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImagePreview.tsx

@@ -170,10 +170,7 @@ const CurrentImagePreview = () => {
           useThumbailFallback
           dropLabel={t('gallery.setCurrentImage')}
           noContentFallback={
-            <IAINoContentFallback
-              icon={FaImage}
-              label={t('gallery.noImageSelected')}
-            />
+            <IAINoContentFallback icon={FaImage} label="No image selected" />
           }
           dataTestId="image-preview"
         />

invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx

@@ -104,7 +104,7 @@ const MultipleSelectionMenuItems = () => {
         </MenuItem>
       )}
       <MenuItem icon={<FaFolder />} onClickCapture={handleChangeBoard}>
-        {t('boards.changeBoard')}
+        Change Board
       </MenuItem>
       <MenuItem
         sx={{ color: 'error.600', _dark: { color: 'error.300' } }}

invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx

@@ -224,14 +224,14 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => {
         </MenuItem>
       )}
       <MenuItem icon={<FaFolder />} onClickCapture={handleChangeBoard}>
-        {t('boards.changeBoard')}
+        Change Board
       </MenuItem>
       {imageDTO.starred ? (
         <MenuItem
           icon={customStarUi ? customStarUi.off.icon : <MdStar />}
           onClickCapture={handleUnstarImage}
         >
-          {customStarUi ? customStarUi.off.text : t('controlnet.unstarImage')}
+          {customStarUi ? customStarUi.off.text : `Unstar Image`}
         </MenuItem>
       ) : (
         <MenuItem

invokeai/frontend/web/src/features/lora/components/ParamLoraSelect.tsx

@@ -95,7 +95,7 @@ const ParamLoRASelect = () => {
 
   return (
     <IAIMantineSearchableSelect
-      placeholder={data.length === 0 ? 'All LoRAs added' : t('models.addLora')}
+      placeholder={data.length === 0 ? 'All LoRAs added' : 'Add LoRA'}
       value={null}
       data={data}
       nothingFound="No matching LoRAs"

invokeai/frontend/web/src/features/modelManager/subpanels/AddModelsPanel/AddModels.tsx

@@ -3,10 +3,8 @@ import IAIButton from 'common/components/IAIButton';
 import { useCallback, useState } from 'react';
 import AdvancedAddModels from './AdvancedAddModels';
 import SimpleAddModels from './SimpleAddModels';
-import { useTranslation } from 'react-i18next';
 
 export default function AddModels() {
-  const { t } = useTranslation();
   const [addModelMode, setAddModelMode] = useState<'simple' | 'advanced'>(
     'simple'
   );
@@ -29,14 +27,14 @@ export default function AddModels() {
           isChecked={addModelMode == 'simple'}
           onClick={handleAddModelSimple}
         >
-          {t('common.simple')}
+          Simple
         </IAIButton>
         <IAIButton
           size="sm"
           isChecked={addModelMode == 'advanced'}
           onClick={handleAddModelAdvanced}
         >
-          {t('common.advanced')}
+          Advanced
         </IAIButton>
       </ButtonGroup>
       <Flex

invokeai/frontend/web/src/features/modelManager/subpanels/AddModelsPanel/AdvancedAddModels.tsx

@@ -1,11 +1,16 @@
 import { Flex } from '@chakra-ui/react';
 import { SelectItem } from '@mantine/core';
 import IAIMantineSelect from 'common/components/IAIMantineSelect';
-import { useCallback, useMemo, useState } from 'react';
+import { useCallback, useState } from 'react';
 import AdvancedAddCheckpoint from './AdvancedAddCheckpoint';
 import AdvancedAddDiffusers from './AdvancedAddDiffusers';
 import { useTranslation } from 'react-i18next';
 
+export const advancedAddModeData: SelectItem[] = [
+  { label: 'Diffusers', value: 'diffusers' },
+  { label: 'Checkpoint / Safetensors', value: 'checkpoint' },
+];
+
 export type ManualAddMode = 'diffusers' | 'checkpoint';
 
 export default function AdvancedAddModels() {
@@ -20,14 +25,6 @@ export default function AdvancedAddModels() {
     setAdvancedAddMode(v as ManualAddMode);
   }, []);
 
-  const advancedAddModeData: SelectItem[] = useMemo(
-    () => [
-      { label: t('modelManager.diffusersModels'), value: 'diffusers' },
-      { label: t('modelManager.checkpointOrSafetensors'), value: 'checkpoint' },
-    ],
-    [t]
-  );
-
   return (
     <Flex flexDirection="column" gap={4} width="100%">
       <IAIMantineSelect

invokeai/frontend/web/src/features/modelManager/subpanels/AddModelsPanel/ScanAdvancedAddModels.tsx

@@ -4,14 +4,13 @@ import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIIconButton from 'common/components/IAIIconButton';
 import IAIMantineSelect from 'common/components/IAIMantineSelect';
 import { motion } from 'framer-motion';
-import { useCallback, useEffect, useState, useMemo } from 'react';
+import { useCallback, useEffect, useState } from 'react';
 import { FaTimes } from 'react-icons/fa';
 import { setAdvancedAddScanModel } from '../../store/modelManagerSlice';
 import AdvancedAddCheckpoint from './AdvancedAddCheckpoint';
 import AdvancedAddDiffusers from './AdvancedAddDiffusers';
-import { ManualAddMode } from './AdvancedAddModels';
+import { ManualAddMode, advancedAddModeData } from './AdvancedAddModels';
 import { useTranslation } from 'react-i18next';
-import { SelectItem } from '@mantine/core';
 
 export default function ScanAdvancedAddModels() {
   const advancedAddScanModel = useAppSelector(
@@ -20,14 +19,6 @@ export default function ScanAdvancedAddModels() {
 
   const { t } = useTranslation();
 
-  const advancedAddModeData: SelectItem[] = useMemo(
-    () => [
-      { label: t('modelManager.diffusersModels'), value: 'diffusers' },
-      { label: t('modelManager.checkpointOrSafetensors'), value: 'checkpoint' },
-    ],
-    [t]
-  );
-
   const [advancedAddMode, setAdvancedAddMode] =
     useState<ManualAddMode>('diffusers');
 

invokeai/frontend/web/src/features/modelManager/subpanels/MergeModelsPanel.tsx

@@ -227,7 +227,7 @@ export default function MergeModelsPanel() {
 
       <Flex columnGap={4}>
         <IAIMantineSelect
-          label={t('modelManager.modelType')}
+          label="Model Type"
           w="100%"
           data={baseModelTypeSelectData}
           value={baseModel}

invokeai/frontend/web/src/features/modelManager/subpanels/ModelManagerPanel.tsx

@@ -13,7 +13,6 @@ import DiffusersModelEdit from './ModelManagerPanel/DiffusersModelEdit';
 import LoRAModelEdit from './ModelManagerPanel/LoRAModelEdit';
 import ModelList from './ModelManagerPanel/ModelList';
 import { ALL_BASE_MODELS } from 'services/api/constants';
-import { useTranslation } from 'react-i18next';
 
 export default function ModelManagerPanel() {
   const [selectedModelId, setSelectedModelId] = useState<string>();
@@ -46,7 +45,6 @@ type ModelEditProps = {
 };
 
 const ModelEdit = (props: ModelEditProps) => {
-  const { t } = useTranslation();
   const { model } = props;
 
   if (model?.model_format === 'checkpoint') {
@@ -77,7 +75,7 @@ const ModelEdit = (props: ModelEditProps) => {
         userSelect: 'none',
       }}
     >
-      <Text variant="subtext">{t('modelManager.noModelSelected')}</Text>
+      <Text variant="subtext">No Model Selected</Text>
     </Flex>
   );
 };

invokeai/frontend/web/src/features/modelManager/subpanels/ModelManagerSettingsPanel/SyncModelsButton.tsx

@@ -54,7 +54,7 @@ export default function SyncModelsButton(props: SyncModelsButtonProps) {
       minW="max-content"
       {...rest}
     >
-      {t('modelManager.syncModels')}
+      Sync Models
     </IAIButton>
   ) : (
     <IAIIconButton

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/NotesTextarea.tsx

@@ -1,15 +1,15 @@
-import { FormControl, FormLabel } from '@chakra-ui/react';
+import { FormControl, FormLabel, Flex } from '@chakra-ui/react';
 import { useAppDispatch } from 'app/store/storeHooks';
 import IAITextarea from 'common/components/IAITextarea';
-import { useNodeData } from 'features/nodes/hooks/useNodeData';
+import { useNodeNotes } from 'features/nodes/hooks/useNodeNotes';
 import { nodeNotesChanged } from 'features/nodes/store/nodesSlice';
-import { isInvocationNodeData } from 'features/nodes/types/types';
+import { isNil } from 'lodash-es';
 import { ChangeEvent, memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
 
 const NotesTextarea = ({ nodeId }: { nodeId: string }) => {
   const dispatch = useAppDispatch();
-  const data = useNodeData(nodeId);
+  const notes = useNodeNotes(nodeId);
   const { t } = useTranslation();
   const handleNotesChanged = useCallback(
     (e: ChangeEvent<HTMLTextAreaElement>) => {
@@ -17,16 +17,17 @@ const NotesTextarea = ({ nodeId }: { nodeId: string }) => {
     },
     [dispatch, nodeId]
   );
-  if (!isInvocationNodeData(data)) {
+  if (isNil(notes)) {
     return null;
   }
   return (
-    <FormControl>
+    <FormControl as={Flex} sx={{ flexDir: 'column', h: 'full' }}>
       <FormLabel>{t('nodes.notes')}</FormLabel>
       <IAITextarea
-        value={data?.notes}
+        value={notes}
         onChange={handleNotesChanged}
-        rows={10}
+        resize="none"
+        h="full"
       />
     </FormControl>
   );

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/FieldHandle.tsx

@@ -47,8 +47,8 @@ const FieldHandle = (props: FieldHandleProps) => {
     isConnectionStartField,
     connectionError,
   } = props;
-  const { name, type } = fieldTemplate;
-  const { color: typeColor, title } = FIELDS[type];
+  const { name, type, originalType } = fieldTemplate;
+  const { color: typeColor } = FIELDS[type];
 
   const styles: CSSProperties = useMemo(() => {
     const isCollectionType = COLLECTION_TYPES.includes(type);
@@ -102,13 +102,18 @@ const FieldHandle = (props: FieldHandleProps) => {
 
   const tooltip = useMemo(() => {
     if (isConnectionInProgress && isConnectionStartField) {
-      return title;
+      return originalType;
     }
     if (isConnectionInProgress && connectionError) {
-      return connectionError ?? title;
+      return connectionError ?? originalType;
     }
-    return title;
-  }, [connectionError, isConnectionInProgress, isConnectionStartField, title]);
+    return originalType;
+  }, [
+    connectionError,
+    isConnectionInProgress,
+    isConnectionStartField,
+    originalType,
+  ]);
 
   return (
     <Tooltip

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/FieldTooltipContent.tsx

@@ -1,7 +1,6 @@
 import { Flex, Text } from '@chakra-ui/react';
 import { useFieldData } from 'features/nodes/hooks/useFieldData';
 import { useFieldTemplate } from 'features/nodes/hooks/useFieldTemplate';
-import { FIELDS } from 'features/nodes/types/constants';
 import {
   isInputFieldTemplate,
   isInputFieldValue,
@@ -9,7 +8,6 @@ import {
 import { startCase } from 'lodash-es';
 import { memo, useMemo } from 'react';
 import { useTranslation } from 'react-i18next';
-
 interface Props {
   nodeId: string;
   fieldName: string;
@@ -49,7 +47,7 @@ const FieldTooltipContent = ({ nodeId, fieldName, kind }: Props) => {
           {fieldTemplate.description}
         </Text>
       )}
-      {fieldTemplate && <Text>Type: {FIELDS[fieldTemplate.type].title}</Text>}
+      {fieldTemplate && <Text>Type: {fieldTemplate.originalType}</Text>}
       {isInputTemplate && <Text>Input: {startCase(fieldTemplate.input)}</Text>}
     </Flex>
   );

invokeai/frontend/web/src/features/nodes/components/flow/nodes/common/NodeTitle.tsx

@@ -28,6 +28,10 @@ const NodeTitle = ({ nodeId, title }: Props) => {
   const [localTitle, setLocalTitle] = useState('');
   const handleSubmit = useCallback(
     async (newTitle: string) => {
+      if (!newTitle.trim()) {
+        setLocalTitle(label || templateTitle || t('nodes.problemSettingTitle'));
+        return;
+      }
       dispatch(nodeLabelChanged({ nodeId, label: newTitle }));
       setLocalTitle(
         label || title || templateTitle || t('nodes.problemSettingTitle')

invokeai/frontend/web/src/features/nodes/components/flow/panels/TopRightPanel/WorkflowEditorSettings.tsx

@@ -127,7 +127,7 @@ const WorkflowEditorSettings = forwardRef((_, ref) => {
                 py: 4,
               }}
             >
-              <Heading size="sm">{t('parameters.general')}</Heading>
+              <Heading size="sm">General</Heading>
               <IAISwitch
                 formLabelProps={formLabelProps}
                 onChange={handleChangeShouldAnimate}
@@ -159,7 +159,7 @@ const WorkflowEditorSettings = forwardRef((_, ref) => {
                 helperText={t('nodes.fullyContainNodesHelp')}
               />
               <Heading size="sm" pt={4}>
-                {t('common.advanced')}
+                Advanced
               </Heading>
               <IAISwitch
                 formLabelProps={formLabelProps}

invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorDetailsTab.tsx

@@ -22,9 +22,8 @@ import { memo } from 'react';
 import { useTranslation } from 'react-i18next';
 import { FaSync } from 'react-icons/fa';
 import { Node } from 'reactflow';
-import NotesTextarea from '../../flow/nodes/Invocation/NotesTextarea';
 import ScrollableContent from '../ScrollableContent';
-import EditableNodeTitle from './details/EditableNodeTitle';
+import InputFields from './details/InputFields';
 
 const selector = createSelector(
   stateSelector,
@@ -82,42 +81,23 @@ const Content = (props: {
           sx={{
             flexDir: 'column',
             position: 'relative',
-            p: 1,
             gap: 2,
             w: 'full',
           }}
         >
-          <EditableNodeTitle nodeId={props.node.data.id} />
-          <HStack>
-            <FormControl>
-              <FormLabel>Node Type</FormLabel>
-              <Text fontSize="sm" fontWeight={600}>
-                {props.template.title}
-              </Text>
-            </FormControl>
-            <Flex
-              flexDir="row"
-              alignItems="center"
-              justifyContent="space-between"
-              w="full"
-            >
-              <FormControl isInvalid={needsUpdate}>
-                <FormLabel>Node Version</FormLabel>
-                <Text fontSize="sm" fontWeight={600}>
-                  {props.node.data.version}
-                </Text>
-              </FormControl>
-              {needsUpdate && (
-                <IAIIconButton
-                  aria-label={t('nodes.updateNode')}
-                  tooltip={t('nodes.updateNode')}
-                  icon={<FaSync />}
-                  onClick={updateNode}
-                />
-              )}
-            </Flex>
-          </HStack>
-          <NotesTextarea nodeId={props.node.data.id} />
+          <FormControl>
+            <FormLabel>Type</FormLabel>
+            <Text fontSize="sm" fontWeight={600}>
+              {props.template.title} ({props.template.type})
+            </Text>
+          </FormControl>
+          <FormControl>
+            <FormLabel>Description</FormLabel>
+            <Text fontSize="sm" fontWeight={600}>
+              {props.template.description}
+            </Text>
+          </FormControl>
+          <InputFields nodeId={props.node.id} />
         </Flex>
       </ScrollableContent>
     </Box>

invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorNotesTab.tsx

@@ -0,0 +1,43 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import { IAINoContentFallback } from 'common/components/IAIImageFallback';
+import { isInvocationNode } from 'features/nodes/types/types';
+import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
+import NotesTextarea from '../../flow/nodes/Invocation/NotesTextarea';
+
+const selector = createSelector(
+  stateSelector,
+  ({ nodes }) => {
+    const lastSelectedNodeId =
+      nodes.selectedNodes[nodes.selectedNodes.length - 1];
+
+    const lastSelectedNode = nodes.nodes.find(
+      (node) => node.id === lastSelectedNodeId
+    );
+
+    if (!isInvocationNode(lastSelectedNode)) {
+      return;
+    }
+
+    return lastSelectedNode.id;
+  },
+  defaultSelectorOptions
+);
+
+const InspectorNotesTab = () => {
+  const nodeId = useAppSelector(selector);
+  const { t } = useTranslation();
+
+  if (!nodeId) {
+    return (
+      <IAINoContentFallback label={t('nodes.noNodeSelected')} icon={null} />
+    );
+  }
+
+  return <NotesTextarea nodeId={nodeId} />;
+};
+
+export default memo(InspectorNotesTab);

invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorPanel.tsx

@@ -6,15 +6,41 @@ import {
   TabPanels,
   Tabs,
 } from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import { isInvocationNode } from 'features/nodes/types/types';
 import { memo } from 'react';
-import InspectorDataTab from './InspectorDataTab';
-import InspectorOutputsTab from './InspectorOutputsTab';
-import InspectorTemplateTab from './InspectorTemplateTab';
 import { useTranslation } from 'react-i18next';
+import InspectorDataTab from './InspectorDataTab';
 import InspectorDetailsTab from './InspectorDetailsTab';
+import InspectorNotesTab from './InspectorNotesTab';
+import InspectorResultsTab from './InspectorResultsTab';
+import InspectorTemplateTab from './InspectorTemplateTab';
+import EditableNodeTitle from './details/EditableNodeTitle';
 
+const selector = createSelector(
+  stateSelector,
+  ({ nodes }) => {
+    const lastSelectedNodeId =
+      nodes.selectedNodes[nodes.selectedNodes.length - 1];
+
+    const lastSelectedNode = nodes.nodes.find(
+      (node) => node.id === lastSelectedNodeId
+    );
+
+    if (!isInvocationNode(lastSelectedNode)) {
+      return;
+    }
+
+    return lastSelectedNode.id;
+  },
+  defaultSelectorOptions
+);
 const InspectorPanel = () => {
   const { t } = useTranslation();
+  const nodeId = useAppSelector(selector);
   return (
     <Flex
       layerStyle="first"
@@ -27,15 +53,17 @@ const InspectorPanel = () => {
         gap: 2,
       }}
     >
+      <EditableNodeTitle nodeId={nodeId} />
       <Tabs
         variant="line"
         sx={{ display: 'flex', flexDir: 'column', w: 'full', h: 'full' }}
       >
         <TabList>
-          <Tab>{t('common.details')}</Tab>
-          <Tab>{t('common.outputs')}</Tab>
-          <Tab>{t('common.data')}</Tab>
-          <Tab>{t('common.template')}</Tab>
+          <Tab>{t('nodes.tabDetails')}</Tab>
+          <Tab>{t('nodes.tabNotes')}</Tab>
+          <Tab>{t('nodes.tabResults')}</Tab>
+          <Tab>{t('nodes.tabData')}</Tab>
+          <Tab>{t('nodes.tabTemplate')}</Tab>
         </TabList>
 
         <TabPanels>
@@ -43,7 +71,10 @@ const InspectorPanel = () => {
             <InspectorDetailsTab />
           </TabPanel>
           <TabPanel>
-            <InspectorOutputsTab />
+            <InspectorNotesTab />
+          </TabPanel>
+          <TabPanel>
+            <InspectorResultsTab />
           </TabPanel>
           <TabPanel>
             <InspectorDataTab />

invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorResultsTab.tsx

@@ -39,7 +39,7 @@ const selector = createSelector(
   defaultSelectorOptions
 );
 
-const InspectorOutputsTab = () => {
+const InspectorResultsTab = () => {
   const { node, template, nes } = useAppSelector(selector);
   const { t } = useTranslation();
 
@@ -91,6 +91,6 @@ const InspectorOutputsTab = () => {
   );
 };
 
-export default memo(InspectorOutputsTab);
+export default memo(InspectorResultsTab);
 
 const getKey = (result: AnyResult, i: number) => `${result.type}-${i}`;

invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/details/EditableNodeTitle.tsx

@@ -3,20 +3,89 @@ import {
   EditableInput,
   EditablePreview,
   Flex,
+  Text,
 } from '@chakra-ui/react';
 import { useAppDispatch } from 'app/store/storeHooks';
+import IAIIconButton from 'common/components/IAIIconButton';
 import { useNodeLabel } from 'features/nodes/hooks/useNodeLabel';
 import { useNodeTemplateTitle } from 'features/nodes/hooks/useNodeTemplateTitle';
+import { useNodeVersion } from 'features/nodes/hooks/useNodeVersion';
 import { nodeLabelChanged } from 'features/nodes/store/nodesSlice';
 import { memo, useCallback, useEffect, useState } from 'react';
 import { useTranslation } from 'react-i18next';
+import { FaSync } from 'react-icons/fa';
 
-type Props = {
-  nodeId: string;
-  title?: string;
+type EditableNodeTitleProps = {
+  nodeId?: string;
 };
 
-const EditableNodeTitle = ({ nodeId, title }: Props) => {
+const EditableNodeTitle = (props: EditableNodeTitleProps) => {
+  if (!props.nodeId) {
+    return (
+      <Text
+        sx={{
+          fontWeight: 600,
+          px: 1,
+          color: 'base.700',
+          _dark: { color: 'base.200' },
+        }}
+      >
+        No node selected
+      </Text>
+    );
+  }
+
+  return (
+    <Flex
+      sx={{
+        justifyContent: 'space-between',
+        alignItems: 'center',
+        px: 1,
+        color: 'base.700',
+        _dark: { color: 'base.200' },
+      }}
+    >
+      <EditableTitle nodeId={props.nodeId} />
+      <Version nodeId={props.nodeId} />
+    </Flex>
+  );
+};
+
+type VersionProps = {
+  nodeId: string;
+};
+
+const Version = memo(({ nodeId }: VersionProps) => {
+  const { version, needsUpdate, updateNode } = useNodeVersion(nodeId);
+
+  const { t } = useTranslation();
+
+  return (
+    <Flex alignItems="center" gap={1}>
+      <Text variant={needsUpdate ? 'error' : 'subtext'} fontWeight={600}>
+        v{version}
+      </Text>
+      {needsUpdate && (
+        <IAIIconButton
+          size="sm"
+          aria-label={t('nodes.updateNode')}
+          tooltip={t('nodes.updateNode')}
+          icon={<FaSync />}
+          variant="link"
+          onClick={updateNode}
+        />
+      )}
+    </Flex>
+  );
+});
+
+Version.displayName = 'Version';
+
+type EditableTitleProps = {
+  nodeId: string;
+};
+
+const EditableTitle = memo(({ nodeId }: EditableTitleProps) => {
   const dispatch = useAppDispatch();
   const label = useNodeLabel(nodeId);
   const templateTitle = useNodeTemplateTitle(nodeId);
@@ -25,12 +94,14 @@ const EditableNodeTitle = ({ nodeId, title }: Props) => {
   const [localTitle, setLocalTitle] = useState('');
   const handleSubmit = useCallback(
     async (newTitle: string) => {
+      if (!newTitle.trim()) {
+        setLocalTitle(label || templateTitle || t('nodes.problemSettingTitle'));
+        return;
+      }
       dispatch(nodeLabelChanged({ nodeId, label: newTitle }));
-      setLocalTitle(
-        label || title || templateTitle || t('nodes.problemSettingTitle')
-      );
+      setLocalTitle(label || templateTitle || t('nodes.problemSettingTitle'));
     },
-    [dispatch, nodeId, title, templateTitle, label, t]
+    [dispatch, nodeId, templateTitle, label, t]
   );
 
   const handleChange = useCallback((newTitle: string) => {
@@ -39,36 +110,28 @@ const EditableNodeTitle = ({ nodeId, title }: Props) => {
 
   useEffect(() => {
     // Another component may change the title; sync local title with global state
-    setLocalTitle(
-      label || title || templateTitle || t('nodes.problemSettingTitle')
-    );
-  }, [label, templateTitle, title, t]);
+    setLocalTitle(label || templateTitle || t('nodes.problemSettingTitle'));
+  }, [label, templateTitle, t]);
 
   return (
-    <Flex
-      sx={{
-        w: 'full',
-        h: 'full',
-        alignItems: 'center',
-        justifyContent: 'center',
-      }}
+    <Editable
+      as={Flex}
+      value={localTitle}
+      onChange={handleChange}
+      onSubmit={handleSubmit}
+      w="full"
     >
-      <Editable
-        as={Flex}
-        value={localTitle}
-        onChange={handleChange}
-        onSubmit={handleSubmit}
-        w="full"
-        fontWeight={600}
-      >
-        <EditablePreview noOfLines={1} />
-        <EditableInput
-          className="nodrag"
-          _focusVisible={{ boxShadow: 'none' }}
-        />
-      </Editable>
-    </Flex>
+      <EditablePreview p={0} fontWeight={600} noOfLines={1} />
+      <EditableInput
+        p={0}
+        className="nodrag"
+        fontWeight={700}
+        _focusVisible={{ boxShadow: 'none' }}
+      />
+    </Editable>
   );
-};
+});
+
+EditableTitle.displayName = 'EditableTitle';
 
 export default memo(EditableNodeTitle);

invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/details/InputFields.tsx

@@ -0,0 +1,20 @@
+import { FormControl, FormLabel, Text } from '@chakra-ui/react';
+import { useNodeInputFields } from 'features/nodes/hooks/useNodeInputFields';
+import { memo } from 'react';
+
+type Props = { nodeId: string };
+const InputFields = ({ nodeId }: Props) => {
+  const inputs = useNodeInputFields(nodeId);
+  return (
+    <div>
+      {inputs?.map(({ fieldData, fieldTemplate }) => (
+        <FormControl key={fieldData.id}>
+          <FormLabel>{fieldData.label || fieldTemplate.title}</FormLabel>
+          <Text>{fieldData.type}</Text>
+        </FormControl>
+      ))}
+    </div>
+  );
+};
+
+export default memo(InputFields);

invokeai/frontend/web/src/features/nodes/components/sidePanel/workflow/WorkflowPanel.tsx

@@ -10,10 +10,8 @@ import { memo } from 'react';
 import WorkflowGeneralTab from './WorkflowGeneralTab';
 import WorkflowJSONTab from './WorkflowJSONTab';
 import WorkflowLinearTab from './WorkflowLinearTab';
-import { useTranslation } from 'react-i18next';
 
 const WorkflowPanel = () => {
-  const { t } = useTranslation();
   return (
     <Flex
       layerStyle="first"
@@ -31,8 +29,8 @@ const WorkflowPanel = () => {
         sx={{ display: 'flex', flexDir: 'column', w: 'full', h: 'full' }}
       >
         <TabList>
-          <Tab>{t('common.linear')}</Tab>
-          <Tab>{t('common.details')}</Tab>
+          <Tab>Linear</Tab>
+          <Tab>Details</Tab>
           <Tab>JSON</Tab>
         </TabList>
 

invokeai/frontend/web/src/features/nodes/hooks/useNodeInputFields.ts

@@ -0,0 +1,56 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import { useMemo } from 'react';
+import {
+  InputFieldTemplate,
+  InputFieldValue,
+  isInvocationNode,
+} from '../types/types';
+
+export const useNodeInputFields = (
+  nodeId: string
+): { fieldData: InputFieldValue; fieldTemplate: InputFieldTemplate }[] => {
+  const selector = useMemo(
+    () =>
+      createSelector(
+        stateSelector,
+        ({ nodes }) => {
+          const node = nodes.nodes.find((node) => node.id === nodeId);
+          if (!isInvocationNode(node)) {
+            return [];
+          }
+
+          const template = nodes.nodeTemplates[node.data.type];
+
+          if (!template) {
+            return [];
+          }
+
+          const inputs = Object.values(node.data.inputs).reduce<
+            {
+              fieldData: InputFieldValue;
+              fieldTemplate: InputFieldTemplate;
+            }[]
+          >((acc, fieldData) => {
+            const fieldTemplate = template.inputs[fieldData.name];
+            if (fieldTemplate) {
+              acc.push({
+                fieldData,
+                fieldTemplate,
+              });
+            }
+            return acc;
+          }, []);
+
+          return inputs;
+        },
+        defaultSelectorOptions
+      ),
+    [nodeId]
+  );
+
+  const inputs = useAppSelector(selector);
+  return inputs;
+};

invokeai/frontend/web/src/features/nodes/hooks/useNodeNotes.ts

@@ -0,0 +1,28 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import { useMemo } from 'react';
+import { isInvocationNode } from '../types/types';
+
+export const useNodeNotes = (nodeId: string) => {
+  const selector = useMemo(
+    () =>
+      createSelector(
+        stateSelector,
+        ({ nodes }) => {
+          const node = nodes.nodes.find((node) => node.id === nodeId);
+          if (!isInvocationNode(node)) {
+            return;
+          }
+          return node.data.notes;
+        },
+        defaultSelectorOptions
+      ),
+    [nodeId]
+  );
+
+  const nodeNotes = useAppSelector(selector);
+
+  return nodeNotes;
+};

invokeai/frontend/web/src/features/nodes/hooks/useNodeVersion.ts

@@ -1,10 +1,12 @@
 import { createSelector } from '@reduxjs/toolkit';
+import { useAppToaster } from 'app/components/Toaster';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import { satisfies } from 'compare-versions';
 import { cloneDeep, defaultsDeep } from 'lodash-es';
 import { useCallback, useMemo } from 'react';
+import { useTranslation } from 'react-i18next';
 import { Node } from 'reactflow';
 import { AnyInvocationType } from 'services/events/types';
 import { nodeReplaced } from '../store/nodesSlice';
@@ -16,8 +18,6 @@ import {
   isInvocationNode,
   zParsedSemver,
 } from '../types/types';
-import { useAppToaster } from 'app/components/Toaster';
-import { useTranslation } from 'react-i18next';
 
 export const getNeedsUpdate = (
   node?: Node<NodeData>,
@@ -115,5 +115,17 @@ export const useNodeVersion = (nodeId: string) => {
     dispatch(nodeReplaced({ nodeId: updatedNode.id, node: updatedNode }));
   }, [dispatch, node, nodeTemplate, t, toast]);
 
-  return { needsUpdate, mayUpdate, updateNode: _updateNode };
+  const version = useMemo(() => {
+    if (!isInvocationNode(node)) {
+      return '';
+    }
+    return node.data.version;
+  }, [node]);
+
+  return {
+    needsUpdate,
+    mayUpdate,
+    updateNode: _updateNode,
+    version,
+  };
 };

invokeai/frontend/web/src/features/nodes/types/constants.ts

@@ -156,6 +156,11 @@ export const FIELDS: Record<FieldType, FieldUIConfig> = {
     description: 'Any field type is accepted.',
     title: 'Any',
   },
+  Unknown: {
+    color: 'gray.500',
+    description: 'Unknown field type is accepted.',
+    title: 'Unknown',
+  },
   MetadataField: {
     color: 'gray.500',
     description: 'A metadata dict.',

invokeai/frontend/web/src/features/nodes/types/types.ts

@@ -133,6 +133,7 @@ export const zFieldType = z.enum([
   'UNetField',
   'VaeField',
   'VaeModelField',
+  'Unknown',
 ]);
 
 export type FieldType = z.infer<typeof zFieldType>;
@@ -190,6 +191,7 @@ export type OutputFieldTemplate = {
   type: FieldType;
   title: string;
   description: string;
+  originalType: string; // used for custom types
 } & _OutputField;
 
 export const zInputFieldValueBase = zFieldValueBase.extend({
@@ -789,6 +791,11 @@ export const zAnyInputFieldValue = zInputFieldValueBase.extend({
   value: z.any().optional(),
 });
 
+export const zUnknownInputFieldValue = zInputFieldValueBase.extend({
+  type: z.literal('Unknown'),
+  value: z.any().optional(),
+});
+
 export const zInputFieldValue = z.discriminatedUnion('type', [
   zAnyInputFieldValue,
   zBoardInputFieldValue,
@@ -846,6 +853,7 @@ export const zInputFieldValue = z.discriminatedUnion('type', [
   zMetadataItemPolymorphicInputFieldValue,
   zMetadataInputFieldValue,
   zMetadataCollectionInputFieldValue,
+  zUnknownInputFieldValue,
 ]);
 
 export type InputFieldValue = z.infer<typeof zInputFieldValue>;
@@ -856,6 +864,7 @@ export type InputFieldTemplateBase = {
   description: string;
   required: boolean;
   fieldKind: 'input';
+  originalType: string; // used for custom types
 } & _InputField;
 
 export type AnyInputFieldTemplate = InputFieldTemplateBase & {
@@ -863,6 +872,11 @@ export type AnyInputFieldTemplate = InputFieldTemplateBase & {
   default: undefined;
 };
 
+export type UnknownInputFieldTemplate = InputFieldTemplateBase & {
+  type: 'Unknown';
+  default: undefined;
+};
+
 export type IntegerInputFieldTemplate = InputFieldTemplateBase & {
   type: 'integer';
   default: number;
@@ -1259,7 +1273,8 @@ export type InputFieldTemplate =
   | MetadataItemCollectionInputFieldTemplate
   | MetadataInputFieldTemplate
   | MetadataItemPolymorphicInputFieldTemplate
-  | MetadataCollectionInputFieldTemplate;
+  | MetadataCollectionInputFieldTemplate
+  | UnknownInputFieldTemplate;
 
 export const isInputFieldValue = (
   field?: InputFieldValue | OutputFieldValue

invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts

@@ -81,6 +81,7 @@ import {
   T2IAdapterModelInputFieldTemplate,
   T2IAdapterPolymorphicInputFieldTemplate,
   UNetInputFieldTemplate,
+  UnknownInputFieldTemplate,
   VaeInputFieldTemplate,
   VaeModelInputFieldTemplate,
   isArraySchemaObject,
@@ -981,6 +982,18 @@ const buildSchedulerInputFieldTemplate = ({
   return template;
 };
 
+const buildUnknownInputFieldTemplate = ({
+  baseField,
+}: BuildInputFieldArg): UnknownInputFieldTemplate => {
+  const template: UnknownInputFieldTemplate = {
+    ...baseField,
+    type: 'Unknown',
+    default: undefined,
+  };
+
+  return template;
+};
+
 export const getFieldType = (
   schemaObject: OpenAPIV3_1SchemaOrRef
 ): string | undefined => {
@@ -1145,13 +1158,9 @@ const TEMPLATE_BUILDER_MAP: {
   UNetField: buildUNetInputFieldTemplate,
   VaeField: buildVaeInputFieldTemplate,
   VaeModelField: buildVaeModelInputFieldTemplate,
+  Unknown: buildUnknownInputFieldTemplate,
 };
 
-const isTemplatedFieldType = (
-  fieldType: string | undefined
-): fieldType is keyof typeof TEMPLATE_BUILDER_MAP =>
-  Boolean(fieldType && fieldType in TEMPLATE_BUILDER_MAP);
-
 /**
  * Builds an input field from an invocation schema property.
  * @param fieldSchema The schema object
@@ -1161,7 +1170,8 @@ export const buildInputFieldTemplate = (
   nodeSchema: InvocationSchemaObject,
   fieldSchema: InvocationFieldSchema,
   name: string,
-  fieldType: FieldType
+  fieldType: FieldType,
+  originalType: string
 ) => {
   const {
     input,
@@ -1183,6 +1193,7 @@ export const buildInputFieldTemplate = (
     ui_order,
     ui_choice_labels,
     item_default,
+    originalType,
   };
 
   const baseField = {
@@ -1193,10 +1204,6 @@ export const buildInputFieldTemplate = (
     ...extra,
   };
 
-  if (!isTemplatedFieldType(fieldType)) {
-    return;
-  }
-
   const builder = TEMPLATE_BUILDER_MAP[fieldType];
 
   if (!builder) {

invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts

@@ -60,6 +60,7 @@ const FIELD_VALUE_FALLBACK_MAP: {
   UNetField: undefined,
   VaeField: undefined,
   VaeModelField: undefined,
+  Unknown: undefined,
 };
 
 export const buildInputFieldValue = (

invokeai/frontend/web/src/features/nodes/util/parseSchema.ts

@@ -4,6 +4,7 @@ import { reduce, startCase } from 'lodash-es';
 import { OpenAPIV3_1 } from 'openapi-types';
 import { AnyInvocationType } from 'services/events/types';
 import {
+  FieldType,
   InputFieldTemplate,
   InvocationSchemaObject,
   InvocationTemplate,
@@ -103,7 +104,7 @@ export const parseSchema = (
           return inputsAccumulator;
         }
 
-        const fieldType = property.ui_type ?? getFieldType(property);
+        let fieldType = property.ui_type ?? getFieldType(property);
 
         if (!fieldType) {
           logger('nodes').warn(
@@ -118,6 +119,9 @@ export const parseSchema = (
           return inputsAccumulator;
         }
 
+        // stash this for custom types
+        const originalType = fieldType;
+
         if (fieldType === 'WorkflowField') {
           withWorkflow = true;
           return inputsAccumulator;
@@ -137,23 +141,24 @@ export const parseSchema = (
         }
 
         if (!isFieldType(fieldType)) {
-          logger('nodes').warn(
+          logger('nodes').debug(
             {
               node: type,
               fieldName: propertyName,
               fieldType,
               field: parseify(property),
             },
-            `Skipping unknown input field type: ${fieldType}`
+            `Fallback handling for unknown input field type: ${fieldType}`
           );
-          return inputsAccumulator;
+          fieldType = 'Unknown';
         }
 
         const field = buildInputFieldTemplate(
           schema,
           property,
           propertyName,
-          fieldType
+          fieldType as FieldType, // we have already checked that fieldType is a valid FieldType, and forced it to be Unknown if not
+          originalType
         );
 
         if (!field) {
@@ -220,26 +225,43 @@ export const parseSchema = (
           return outputsAccumulator;
         }
 
-        const fieldType = property.ui_type ?? getFieldType(property);
+        let fieldType = property.ui_type ?? getFieldType(property);
 
-        if (!isFieldType(fieldType)) {
+        if (!fieldType) {
           logger('nodes').warn(
-            { fieldName: propertyName, fieldType, field: parseify(property) },
-            'Skipping unknown output field type'
+            {
+              node: type,
+              fieldName: propertyName,
+              fieldType,
+              field: parseify(property),
+            },
+            'Missing output field type'
           );
           return outputsAccumulator;
         }
 
+        // stash for custom types
+        const originalType = fieldType;
+
+        if (!isFieldType(fieldType)) {
+          logger('nodes').debug(
+            { fieldName: propertyName, fieldType, field: parseify(property) },
+            `Fallback handling for unknown input field type: ${fieldType}`
+          );
+          fieldType = 'Unknown';
+        }
+
         outputsAccumulator[propertyName] = {
           fieldKind: 'output',
           name: propertyName,
           title:
             property.title ?? (propertyName ? startCase(propertyName) : ''),
           description: property.description ?? '',
-          type: fieldType,
+          type: fieldType as FieldType,
           ui_hidden: property.ui_hidden ?? false,
           ui_type: property.ui_type,
           ui_order: property.ui_order,
+          originalType,
         };
 
         return outputsAccumulator;

invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceMode.tsx

@@ -5,9 +5,16 @@ import { IAISelectDataType } from 'common/components/IAIMantineSearchableSelect'
 import IAIMantineSelect from 'common/components/IAIMantineSelect';
 import { setCanvasCoherenceMode } from 'features/parameters/store/generationSlice';
 import { CanvasCoherenceModeParam } from 'features/parameters/types/parameterSchemas';
-import { memo, useCallback, useMemo } from 'react';
+
+import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
 
+const coherenceModeSelectData: IAISelectDataType[] = [
+  { label: 'Unmasked', value: 'unmasked' },
+  { label: 'Mask', value: 'mask' },
+  { label: 'Mask Edge', value: 'edge' },
+];
+
 const ParamCanvasCoherenceMode = () => {
   const dispatch = useAppDispatch();
   const canvasCoherenceMode = useAppSelector(
@@ -15,15 +22,6 @@ const ParamCanvasCoherenceMode = () => {
   );
   const { t } = useTranslation();
 
-  const coherenceModeSelectData: IAISelectDataType[] = useMemo(
-    () => [
-      { label: t('parameters.unmasked'), value: 'unmasked' },
-      { label: t('unifiedCanvas.mask'), value: 'mask' },
-      { label: t('parameters.maskEdge'), value: 'edge' },
-    ],
-    [t]
-  );
-
   const handleCoherenceModeChange = useCallback(
     (v: string | null) => {
       if (!v) {

invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/GenerationModeStatusText.tsx

@@ -1,26 +1,20 @@
 import { Box } from '@chakra-ui/react';
 import { useCanvasGenerationMode } from 'features/canvas/hooks/useCanvasGenerationMode';
-import { memo, useMemo } from 'react';
-import { useTranslation } from 'react-i18next';
+import { memo } from 'react';
+
+const GENERATION_MODE_NAME_MAP = {
+  txt2img: 'Text to Image',
+  img2img: 'Image to Image',
+  inpaint: 'Inpaint',
+  outpaint: 'Inpaint',
+};
 
 const GenerationModeStatusText = () => {
   const generationMode = useCanvasGenerationMode();
-  const { t } = useTranslation();
-
-  const GENERATION_MODE_NAME_MAP = useMemo(
-    () => ({
-      txt2img: t('common.txt2img'),
-      img2img: t('common.img2img'),
-      inpaint: t('common.inpaint'),
-      outpaint: t('common.outpaint'),
-    }),
-    [t]
-  );
 
   return (
     <Box>
-      {t('accessibility.mode')}:{' '}
-      {generationMode ? GENERATION_MODE_NAME_MAP[generationMode] : '...'}
+      Mode: {generationMode ? GENERATION_MODE_NAME_MAP[generationMode] : '...'}
     </Box>
   );
 };

invokeai/frontend/web/src/features/parameters/components/Parameters/Upscale/ParamRealESRGANModel.tsx

@@ -7,7 +7,6 @@ import {
   ESRGANModelName,
   esrganModelNameChanged,
 } from 'features/parameters/store/postprocessingSlice';
-import { useTranslation } from 'react-i18next';
 import { useCallback } from 'react';
 
 export const ESRGAN_MODEL_NAMES: SelectItem[] = [
@@ -38,8 +37,6 @@ export const ESRGAN_MODEL_NAMES: SelectItem[] = [
 ];
 
 export default function ParamESRGANModel() {
-  const { t } = useTranslation();
-
   const esrganModelName = useAppSelector(
     (state: RootState) => state.postprocessing.esrganModelName
   );
@@ -53,7 +50,7 @@ export default function ParamESRGANModel() {
 
   return (
     <IAIMantineSelect
-      label={t('models.esrganModel')}
+      label="ESRGAN Model"
       value={esrganModelName}
       itemComponent={IAIMantineSelectItemWithTooltip}
       onChange={handleChange}

invokeai/frontend/web/src/features/queue/components/QueueList/QueueListHeader.tsx

@@ -1,9 +1,8 @@
 import { Flex, Text } from '@chakra-ui/react';
 import { memo } from 'react';
 import { COLUMN_WIDTHS } from './constants';
-import { useTranslation } from 'react-i18next';
+
 const QueueListHeader = () => {
-  const { t } = useTranslation();
   return (
     <Flex
       alignItems="center"
@@ -23,16 +22,16 @@ const QueueListHeader = () => {
         <Text variant="subtext">#</Text>
       </Flex>
       <Flex ps={0.5} w={COLUMN_WIDTHS.statusBadge} alignItems="center">
-        <Text variant="subtext">{t('queue.status')}</Text>
+        <Text variant="subtext">status</Text>
       </Flex>
       <Flex ps={0.5} w={COLUMN_WIDTHS.time} alignItems="center">
-        <Text variant="subtext">{t('queue.time')}</Text>
+        <Text variant="subtext">time</Text>
       </Flex>
       <Flex ps={0.5} w={COLUMN_WIDTHS.batchId} alignItems="center">
-        <Text variant="subtext">{t('queue.batch')}</Text>
+        <Text variant="subtext">batch</Text>
       </Flex>
       <Flex ps={0.5} w={COLUMN_WIDTHS.fieldValues} alignItems="center">
-        <Text variant="subtext">{t('queue.batchFieldValues')}</Text>
+        <Text variant="subtext">batch field values</Text>
       </Flex>
     </Flex>
   );

invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx

@@ -298,13 +298,13 @@ const SettingsModal = ({ children, config }: SettingsModalProps) => {
                 <Heading size="sm">{t('settings.generation')}</Heading>
                 <SettingsSchedulers />
                 <SettingSwitch
-                  label={t('settings.enableNSFWChecker')}
+                  label="Enable NSFW Checker"
                   isDisabled={!isNSFWCheckerAvailable}
                   isChecked={shouldUseNSFWChecker}
                   onChange={handleChangeShouldUseNSFWChecker}
                 />
                 <SettingSwitch
-                  label={t('settings.enableInvisibleWatermark')}
+                  label="Enable Invisible Watermark"
                   isDisabled={!isWatermarkerAvailable}
                   isChecked={shouldUseWatermarker}
                   onChange={handleChangeShouldUseWatermarker}
@@ -351,7 +351,7 @@ const SettingsModal = ({ children, config }: SettingsModalProps) => {
                   />
                 )}
                 <SettingSwitch
-                  label={t('settings.enableInformationalPopovers')}
+                  label="Enable informational popovers"
                   isChecked={shouldEnableInformationalPopovers}
                   onChange={handleChangeShouldEnableInformationalPopovers}
                 />

invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/ModelManagerTab.tsx

@@ -1,6 +1,6 @@
 import { Tab, TabList, TabPanel, TabPanels, Tabs } from '@chakra-ui/react';
-import { ReactNode, memo, useMemo } from 'react';
-import { useTranslation } from 'react-i18next';
+import i18n from 'i18n';
+import { ReactNode, memo } from 'react';
 import ImportModelsPanel from '../../../../modelManager/subpanels/ImportModelsPanel';
 import MergeModelsPanel from '../../../../modelManager/subpanels/MergeModelsPanel';
 import ModelManagerPanel from '../../../../modelManager/subpanels/ModelManagerPanel';
@@ -18,34 +18,30 @@ type ModelManagerTabInfo = {
   content: ReactNode;
 };
 
-const ModelManagerTab = () => {
-  const { t } = useTranslation();
+const tabs: ModelManagerTabInfo[] = [
+  {
+    id: 'modelManager',
+    label: i18n.t('modelManager.modelManager'),
+    content: <ModelManagerPanel />,
+  },
+  {
+    id: 'importModels',
+    label: i18n.t('modelManager.importModels'),
+    content: <ImportModelsPanel />,
+  },
+  {
+    id: 'mergeModels',
+    label: i18n.t('modelManager.mergeModels'),
+    content: <MergeModelsPanel />,
+  },
+  {
+    id: 'settings',
+    label: i18n.t('modelManager.settings'),
+    content: <ModelManagerSettingsPanel />,
+  },
+];
 
-  const tabs: ModelManagerTabInfo[] = useMemo(
-    () => [
-      {
-        id: 'modelManager',
-        label: t('modelManager.modelManager'),
-        content: <ModelManagerPanel />,
-      },
-      {
-        id: 'importModels',
-        label: t('modelManager.importModels'),
-        content: <ImportModelsPanel />,
-      },
-      {
-        id: 'mergeModels',
-        label: t('modelManager.mergeModels'),
-        content: <MergeModelsPanel />,
-      },
-      {
-        id: 'settings',
-        label: t('modelManager.settings'),
-        content: <ModelManagerSettingsPanel />,
-      },
-    ],
-    [t]
-  );
+const ModelManagerTab = () => {
   return (
     <Tabs
       isLazy

invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasContent.tsx

@@ -6,7 +6,6 @@ import { useDroppableTypesafe } from 'features/dnd/hooks/typesafeHooks';
 import { CanvasInitialImageDropData } from 'features/dnd/types';
 import { isValidDrop } from 'features/dnd/util/isValidDrop';
 import { memo } from 'react';
-import { useTranslation } from 'react-i18next';
 
 const droppableData: CanvasInitialImageDropData = {
   id: 'canvas-intial-image',
@@ -14,7 +13,6 @@ const droppableData: CanvasInitialImageDropData = {
 };
 
 const UnifiedCanvasContent = () => {
-  const { t } = useTranslation();
   const {
     isOver,
     setNodeRef: setDroppableRef,
@@ -42,10 +40,7 @@ const UnifiedCanvasContent = () => {
       <IAICanvasToolbar />
       <IAICanvas />
       {isValidDrop(droppableData, active) && (
-        <IAIDropOverlay
-          isOver={isOver}
-          label={t('toast.setCanvasInitialImage')}
-        />
+        <IAIDropOverlay isOver={isOver} label="Set Canvas Initial Image" />
       )}
     </Flex>
   );

invokeai/version/invokeai_version.py

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