Release/v3.4.0post2 (#5139)

## What type of PR is this? (check all applicable)

3.4.0post3

## Have you discussed this change with the InvokeAI team?
- [x] Yes
- [ ] No, because:

      
## Have you updated all relevant documentation?
N/A

## Description
3.4.0post2 release - mainly fixes duplicate LoRA patching

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/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)
+* [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)
 * [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/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)
+* [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)
 * [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/docs/main/docs/workflows/QR_Code_Monster.json)
+* [QR Code Monster](https://github.com/invoke-ai/InvokeAI/blob/main/docs/workflows/QR_Code_Monster.json)

invokeai/app/invocations/baseinvocation.py

@@ -8,7 +8,7 @@ from abc import ABC, abstractmethod
 from enum import Enum
 from inspect import signature
 from types import UnionType
-from typing import TYPE_CHECKING, Any, Callable, ClassVar, ForwardRef, Iterable, Literal, Optional, Type, TypeVar, Union
+from typing import TYPE_CHECKING, Any, Callable, ClassVar, Iterable, Literal, Optional, Type, TypeVar, Union
 
 import semver
 from pydantic import BaseModel, ConfigDict, Field, RootModel, TypeAdapter, create_model
@@ -648,40 +648,17 @@ class _Model(BaseModel):
 # Get all pydantic model attrs, methods, etc
 RESERVED_PYDANTIC_FIELD_NAMES = {m[0] for m in inspect.getmembers(_Model())}
 
-RESERVED_INVOKEAI_FIELD_NAMES = {"Custom", "CustomCollection", "CustomPolymorphic"}
-
 
 def validate_fields(model_fields: dict[str, FieldInfo], model_type: str) -> None:
     """
     Validates the fields of an invocation or invocation output:
     - must not override any pydantic reserved fields
-    - must not end with "Collection" or "Polymorphic" as these are reserved for internal use
     - must be created via `InputField`, `OutputField`, or be an internal field defined in this file
     """
     for name, field in model_fields.items():
         if name in RESERVED_PYDANTIC_FIELD_NAMES:
             raise InvalidFieldError(f'Invalid field name "{name}" on "{model_type}" (reserved by pydantic)')
 
-        if not field.annotation:
-            raise InvalidFieldError(f'Invalid field type "{name}" on "{model_type}" (missing annotation)')
-
-        annotation_name = (
-            field.annotation.__forward_arg__ if isinstance(field.annotation, ForwardRef) else field.annotation.__name__
-        )
-
-        if annotation_name.endswith("Polymorphic"):
-            raise InvalidFieldError(
-                f'Invalid field type "{annotation_name}" for "{name}" on "{model_type}" (must not end in "Polymorphic")'
-            )
-
-        if annotation_name.endswith("Collection"):
-            raise InvalidFieldError(
-                f'Invalid field type "{annotation_name}" for "{name}" on "{model_type}" (must not end in "Collection")'
-            )
-
-        if annotation_name in RESERVED_INVOKEAI_FIELD_NAMES:
-            raise InvalidFieldError(f'Invalid field type "{annotation_name}" for "{name}" on "{model_type}" (reserved)')
-
         field_kind = (
             # _field_kind is defined via InputField(), OutputField() or by one of the internal fields defined in this file
             field.json_schema_extra.get("_field_kind", None) if field.json_schema_extra else None

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

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

invokeai/frontend/web/dist/index.html

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

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

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

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

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

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

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

invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts

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

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

@@ -17,6 +17,7 @@ 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,
@@ -38,6 +39,7 @@ const listItemStyles: ChakraProps['sx'] = {
 };
 
 const ParamDynamicPromptsPreview = () => {
+  const { t } = useTranslation();
   const { prompts, parsingError, isLoading, isError } =
     useAppSelector(selector);
 
@@ -69,7 +71,7 @@ const ParamDynamicPromptsPreview = () => {
           overflow="hidden"
           textOverflow="ellipsis"
         >
-          Prompts Preview ({prompts.length})
+          {t('dynamicPrompts.promptsPreview')} ({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">
-            Delete {boardToDelete.board_name}
+            {t('controlnet.delete')} {boardToDelete.board_name}
           </AlertDialogHeader>
 
           <AlertDialogBody>
@@ -136,7 +136,7 @@ const DeleteBoardModal = (props: Props) => {
                   bottomMessage={t('boards.bottomMessage')}
                 />
               )}
-              <Text>Deleted boards cannot be restored.</Text>
+              <Text>{t('boards.deletedBoardsCannotbeRestored')}</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}>
-                Cancel
+                {t('boards.cancel')}
               </IAIButton>
               <IAIButton
                 colorScheme="warning"
                 isLoading={isLoading}
                 onClick={handleDeleteBoardOnly}
               >
-                Delete Board Only
+                {t('boards.deleteBoardOnly')}
               </IAIButton>
               <IAIButton
                 colorScheme="error"
                 isLoading={isLoading}
                 onClick={handleDeleteBoardAndImages}
               >
-                Delete Board and Images
+                {t('boards.deleteBoardAndImages')}
               </IAIButton>
             </Flex>
           </AlertDialogFooter>

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

@@ -2,13 +2,14 @@ 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;
@@ -34,7 +35,7 @@ const GalleryBoardContextMenuItems = ({ board, setBoardToDelete }: Props) => {
         icon={<FaTrash />}
         onClick={handleDelete}
       >
-        Delete Board
+        {t('boards.deleteBoard')}
       </MenuItem>
     </>
   );

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

@@ -170,7 +170,10 @@ const CurrentImagePreview = () => {
           useThumbailFallback
           dropLabel={t('gallery.setCurrentImage')}
           noContentFallback={
-            <IAINoContentFallback icon={FaImage} label="No image selected" />
+            <IAINoContentFallback
+              icon={FaImage}
+              label={t('gallery.noImageSelected')}
+            />
           }
           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}>
-        Change Board
+        {t('boards.changeBoard')}
       </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}>
-        Change Board
+        {t('boards.changeBoard')}
       </MenuItem>
       {imageDTO.starred ? (
         <MenuItem
           icon={customStarUi ? customStarUi.off.icon : <MdStar />}
           onClickCapture={handleUnstarImage}
         >
-          {customStarUi ? customStarUi.off.text : `Unstar Image`}
+          {customStarUi ? customStarUi.off.text : t('controlnet.unstarImage')}
         </MenuItem>
       ) : (
         <MenuItem

invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx

@@ -157,6 +157,8 @@ const ImageMetadataActions = (props: Props) => {
     return null;
   }
 
+  console.log(metadata);
+
   return (
     <>
       {metadata.created_by && (

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

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

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

@@ -3,8 +3,10 @@ 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'
   );
@@ -27,14 +29,14 @@ export default function AddModels() {
           isChecked={addModelMode == 'simple'}
           onClick={handleAddModelSimple}
         >
-          Simple
+          {t('common.simple')}
         </IAIButton>
         <IAIButton
           size="sm"
           isChecked={addModelMode == 'advanced'}
           onClick={handleAddModelAdvanced}
         >
-          Advanced
+          {t('common.advanced')}
         </IAIButton>
       </ButtonGroup>
       <Flex

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

@@ -1,16 +1,11 @@
 import { Flex } from '@chakra-ui/react';
 import { SelectItem } from '@mantine/core';
 import IAIMantineSelect from 'common/components/IAIMantineSelect';
-import { useCallback, useState } from 'react';
+import { useCallback, useMemo, 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() {
@@ -25,6 +20,14 @@ 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

@@ -4,13 +4,14 @@ 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 } from 'react';
+import { useCallback, useEffect, useState, useMemo } from 'react';
 import { FaTimes } from 'react-icons/fa';
 import { setAdvancedAddScanModel } from '../../store/modelManagerSlice';
 import AdvancedAddCheckpoint from './AdvancedAddCheckpoint';
 import AdvancedAddDiffusers from './AdvancedAddDiffusers';
-import { ManualAddMode, advancedAddModeData } from './AdvancedAddModels';
+import { ManualAddMode } from './AdvancedAddModels';
 import { useTranslation } from 'react-i18next';
+import { SelectItem } from '@mantine/core';
 
 export default function ScanAdvancedAddModels() {
   const advancedAddScanModel = useAppSelector(
@@ -19,6 +20,14 @@ 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="Model Type"
+          label={t('modelManager.modelType')}
           w="100%"
           data={baseModelTypeSelectData}
           value={baseModel}

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

@@ -13,6 +13,7 @@ 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>();
@@ -45,6 +46,7 @@ type ModelEditProps = {
 };
 
 const ModelEdit = (props: ModelEditProps) => {
+  const { t } = useTranslation();
   const { model } = props;
 
   if (model?.model_format === 'checkpoint') {
@@ -75,7 +77,7 @@ const ModelEdit = (props: ModelEditProps) => {
         userSelect: 'none',
       }}
     >
-      <Text variant="subtext">No Model Selected</Text>
+      <Text variant="subtext">{t('modelManager.noModelSelected')}</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}
     >
-      Sync Models
+      {t('modelManager.syncModels')}
     </IAIButton>
   ) : (
     <IAIIconButton

invokeai/frontend/web/src/features/nodes/components/flow/AddNodePopover/AddNodePopover.tsx

@@ -57,7 +57,7 @@ const AddNodePopover = () => {
   const { t } = useTranslation();
 
   const fieldFilter = useAppSelector(
-    (state) => state.nodes.connectionStartFieldType
+    (state) => state.nodes.currentConnectionFieldType
   );
   const handleFilter = useAppSelector(
     (state) => state.nodes.connectionStartParams?.handleType
@@ -74,13 +74,9 @@ const AddNodePopover = () => {
 
             return some(handles, (handle) => {
               const sourceType =
-                handleFilter == 'source'
-                  ? fieldFilter
-                  : handle.originalType ?? handle.type;
+                handleFilter == 'source' ? fieldFilter : handle.type;
               const targetType =
-                handleFilter == 'target'
-                  ? fieldFilter
-                  : handle.originalType ?? handle.type;
+                handleFilter == 'target' ? fieldFilter : handle.type;
 
               return validateSourceAndTargetTypes(sourceType, targetType);
             });
@@ -115,7 +111,7 @@ const AddNodePopover = () => {
 
       data.sort((a, b) => a.label.localeCompare(b.label));
 
-      return { data };
+      return { data, t };
     },
     defaultSelectorOptions
   );

invokeai/frontend/web/src/features/nodes/components/flow/connectionLines/CustomConnectionLine.tsx

@@ -2,17 +2,18 @@ import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { useAppSelector } from 'app/store/storeHooks';
 import { colorTokenToCssVar } from 'common/util/colorTokenToCssVar';
+import { FIELDS } from 'features/nodes/types/constants';
 import { memo } from 'react';
 import { ConnectionLineComponentProps, getBezierPath } from 'reactflow';
-import { getFieldColor } from '../edges/util/getEdgeColor';
 
 const selector = createSelector(stateSelector, ({ nodes }) => {
-  const { shouldAnimateEdges, connectionStartFieldType, shouldColorEdges } =
+  const { shouldAnimateEdges, currentConnectionFieldType, shouldColorEdges } =
     nodes;
 
-  const stroke = shouldColorEdges
-    ? getFieldColor(connectionStartFieldType)
-    : colorTokenToCssVar('base.500');
+  const stroke =
+    currentConnectionFieldType && shouldColorEdges
+      ? colorTokenToCssVar(FIELDS[currentConnectionFieldType].color)
+      : colorTokenToCssVar('base.500');
 
   let className = 'react-flow__custom_connection-path';
 

invokeai/frontend/web/src/features/nodes/components/flow/edges/util/getEdgeColor.ts

@@ -1,12 +0,0 @@
-import { colorTokenToCssVar } from 'common/util/colorTokenToCssVar';
-import { FIELDS } from 'features/nodes/types/constants';
-import { FieldType } from 'features/nodes/types/types';
-
-export const getFieldColor = (fieldType: FieldType | string | null): string => {
-  if (!fieldType) {
-    return colorTokenToCssVar('base.500');
-  }
-  const color = FIELDS[fieldType]?.color;
-
-  return color ? colorTokenToCssVar(color) : colorTokenToCssVar('base.500');
-};

invokeai/frontend/web/src/features/nodes/components/flow/edges/util/makeEdgeSelector.ts

@@ -2,8 +2,8 @@ import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import { colorTokenToCssVar } from 'common/util/colorTokenToCssVar';
+import { FIELDS } from 'features/nodes/types/constants';
 import { isInvocationNode } from 'features/nodes/types/types';
-import { getFieldColor } from './getEdgeColor';
 
 export const makeEdgeSelector = (
   source: string,
@@ -29,7 +29,7 @@ export const makeEdgeSelector = (
 
       const stroke =
         sourceType && nodes.shouldColorEdges
-          ? getFieldColor(sourceType)
+          ? colorTokenToCssVar(FIELDS[sourceType].color)
           : colorTokenToCssVar('base.500');
 
       return {

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

@@ -1,12 +1,11 @@
 import { Tooltip } from '@chakra-ui/react';
 import { colorTokenToCssVar } from 'common/util/colorTokenToCssVar';
 import {
-  getIsCollection,
-  getIsPolymorphic,
-} from 'features/nodes/store/util/parseFieldType';
-import {
+  COLLECTION_TYPES,
+  FIELDS,
   HANDLE_TOOLTIP_OPEN_DELAY,
   MODEL_TYPES,
+  POLYMORPHIC_TYPES,
 } from 'features/nodes/types/constants';
 import {
   InputFieldTemplate,
@@ -14,7 +13,6 @@ import {
 } from 'features/nodes/types/types';
 import { CSSProperties, memo, useMemo } from 'react';
 import { Handle, HandleType, Position } from 'reactflow';
-import { getFieldColor } from '../../../edges/util/getEdgeColor';
 
 export const handleBaseStyles: CSSProperties = {
   position: 'absolute',
@@ -49,21 +47,23 @@ const FieldHandle = (props: FieldHandleProps) => {
     isConnectionStartField,
     connectionError,
   } = props;
-  const { name } = fieldTemplate;
-  const type = fieldTemplate.originalType ?? fieldTemplate.type;
+  const { name, type } = fieldTemplate;
+  const { color: typeColor, title } = FIELDS[type];
 
   const styles: CSSProperties = useMemo(() => {
-    const isCollection = getIsCollection(fieldTemplate.type);
-    const isPolymorphic = getIsPolymorphic(fieldTemplate.type);
-    const isModelType = MODEL_TYPES.some((t) => t === type);
-    const color = getFieldColor(type);
+    const isCollectionType = COLLECTION_TYPES.includes(type);
+    const isPolymorphicType = POLYMORPHIC_TYPES.includes(type);
+    const isModelType = MODEL_TYPES.includes(type);
+    const color = colorTokenToCssVar(typeColor);
     const s: CSSProperties = {
       backgroundColor:
-        isCollection || isPolymorphic ? colorTokenToCssVar('base.900') : color,
+        isCollectionType || isPolymorphicType
+          ? 'var(--invokeai-colors-base-900)'
+          : color,
       position: 'absolute',
       width: '1rem',
       height: '1rem',
-      borderWidth: isCollection || isPolymorphic ? 4 : 0,
+      borderWidth: isCollectionType || isPolymorphicType ? 4 : 0,
       borderStyle: 'solid',
       borderColor: color,
       borderRadius: isModelType ? 4 : '100%',
@@ -93,19 +93,22 @@ const FieldHandle = (props: FieldHandleProps) => {
     return s;
   }, [
     connectionError,
-    fieldTemplate.type,
     handleType,
     isConnectionInProgress,
     isConnectionStartField,
     type,
+    typeColor,
   ]);
 
   const tooltip = useMemo(() => {
-    if (isConnectionInProgress && connectionError) {
-      return connectionError;
+    if (isConnectionInProgress && isConnectionStartField) {
+      return title;
     }
-    return type;
-  }, [connectionError, isConnectionInProgress, type]);
+    if (isConnectionInProgress && connectionError) {
+      return connectionError ?? title;
+    }
+    return title;
+  }, [connectionError, isConnectionInProgress, isConnectionStartField, title]);
 
   return (
     <Tooltip

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

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

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

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

@@ -10,9 +10,11 @@ import { memo } from 'react';
 import InspectorDataTab from './InspectorDataTab';
 import InspectorOutputsTab from './InspectorOutputsTab';
 import InspectorTemplateTab from './InspectorTemplateTab';
+import { useTranslation } from 'react-i18next';
 import InspectorDetailsTab from './InspectorDetailsTab';
 
 const InspectorPanel = () => {
+  const { t } = useTranslation();
   return (
     <Flex
       layerStyle="first"
@@ -30,10 +32,10 @@ const InspectorPanel = () => {
         sx={{ display: 'flex', flexDir: 'column', w: 'full', h: 'full' }}
       >
         <TabList>
-          <Tab>Details</Tab>
-          <Tab>Outputs</Tab>
-          <Tab>Data</Tab>
-          <Tab>Template</Tab>
+          <Tab>{t('common.details')}</Tab>
+          <Tab>{t('common.outputs')}</Tab>
+          <Tab>{t('common.data')}</Tab>
+          <Tab>{t('common.template')}</Tab>
         </TabList>
 
         <TabPanels>

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

@@ -10,8 +10,10 @@ 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"
@@ -29,8 +31,8 @@ const WorkflowPanel = () => {
         sx={{ display: 'flex', flexDir: 'column', w: 'full', h: 'full' }}
       >
         <TabList>
-          <Tab>Linear</Tab>
-          <Tab>Details</Tab>
+          <Tab>{t('common.linear')}</Tab>
+          <Tab>{t('common.details')}</Tab>
           <Tab>JSON</Tab>
         </TabList>
 

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

@@ -4,9 +4,11 @@ import { useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import { map } from 'lodash-es';
 import { useMemo } from 'react';
-import { getIsPolymorphic } from '../store/util/parseFieldType';
-import { TYPES_WITH_INPUT_COMPONENTS } from '../types/constants';
 import { isInvocationNode } from '../types/types';
+import {
+  POLYMORPHIC_TYPES,
+  TYPES_WITH_INPUT_COMPONENTS,
+} from '../types/constants';
 import { getSortedFilteredFieldNames } from '../util/getSortedFilteredFieldNames';
 
 export const useAnyOrDirectInputFieldNames = (nodeId: string) => {
@@ -26,7 +28,7 @@ export const useAnyOrDirectInputFieldNames = (nodeId: string) => {
           const fields = map(nodeTemplate.inputs).filter(
             (field) =>
               (['any', 'direct'].includes(field.input) ||
-                getIsPolymorphic(field.type)) &&
+                POLYMORPHIC_TYPES.includes(field.type)) &&
               TYPES_WITH_INPUT_COMPONENTS.includes(field.type)
           );
           return getSortedFilteredFieldNames(fields);

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

@@ -4,8 +4,10 @@ import { useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import { map } from 'lodash-es';
 import { useMemo } from 'react';
-import { getIsPolymorphic } from '../store/util/parseFieldType';
-import { TYPES_WITH_INPUT_COMPONENTS } from '../types/constants';
+import {
+  POLYMORPHIC_TYPES,
+  TYPES_WITH_INPUT_COMPONENTS,
+} from '../types/constants';
 import { isInvocationNode } from '../types/types';
 import { getSortedFilteredFieldNames } from '../util/getSortedFilteredFieldNames';
 
@@ -27,7 +29,8 @@ export const useConnectionInputFieldNames = (nodeId: string) => {
           // get the visible fields
           const fields = map(nodeTemplate.inputs).filter(
             (field) =>
-              (field.input === 'connection' && !getIsPolymorphic(field.type)) ||
+              (field.input === 'connection' &&
+                !POLYMORPHIC_TYPES.includes(field.type)) ||
               !TYPES_WITH_INPUT_COMPONENTS.includes(field.type)
           );
 

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

@@ -8,7 +8,7 @@ import { useFieldType } from './useFieldType.ts';
 const selectIsConnectionInProgress = createSelector(
   stateSelector,
   ({ nodes }) =>
-    nodes.connectionStartFieldType !== null &&
+    nodes.currentConnectionFieldType !== null &&
     nodes.connectionStartParams !== null
 );
 

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

@@ -20,8 +20,7 @@ export const useFieldType = (
           if (!isInvocationNode(node)) {
             return;
           }
-          const field = node.data[KIND_MAP[kind]][fieldName];
-          return field?.originalType ?? field?.type;
+          return node?.data[KIND_MAP[kind]][fieldName]?.type;
         },
         defaultSelectorOptions
       ),

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

@@ -34,10 +34,10 @@ export const useIsValidConnection = () => {
         return false;
       }
 
-      const sourceField = sourceNode.data.outputs[sourceHandle];
-      const targetField = targetNode.data.inputs[targetHandle];
+      const sourceType = sourceNode.data.outputs[sourceHandle]?.type;
+      const targetType = targetNode.data.inputs[targetHandle]?.type;
 
-      if (!sourceField || !targetField) {
+      if (!sourceType || !targetType) {
         // something has gone terribly awry
         return false;
       }
@@ -70,18 +70,12 @@ export const useIsValidConnection = () => {
           return edge.target === target && edge.targetHandle === targetHandle;
         }) &&
         // except CollectionItem inputs can have multiples
-        targetField.type !== 'CollectionItem'
+        targetType !== 'CollectionItem'
       ) {
         return false;
       }
 
-      // Must use the originalType here if it exists
-      if (
-        !validateSourceAndTargetTypes(
-          sourceField?.originalType ?? sourceField.type,
-          targetField?.originalType ?? targetField.type
-        )
-      ) {
+      if (!validateSourceAndTargetTypes(sourceType, targetType)) {
         return false;
       }
 

invokeai/frontend/web/src/features/nodes/store/nodesPersistDenylist.ts

@@ -6,7 +6,7 @@ import { NodesState } from './types';
 export const nodesPersistDenylist: (keyof NodesState)[] = [
   'nodeTemplates',
   'connectionStartParams',
-  'connectionStartFieldType',
+  'currentConnectionFieldType',
   'selectedNodes',
   'selectedEdges',
   'isReady',

invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts

@@ -93,7 +93,7 @@ export const initialNodesState: NodesState = {
   nodeTemplates: {},
   isReady: false,
   connectionStartParams: null,
-  connectionStartFieldType: null,
+  currentConnectionFieldType: null,
   connectionMade: false,
   modifyingEdge: false,
   addNewNodePosition: null,
@@ -203,7 +203,7 @@ const nodesSlice = createSlice({
           nodeId &&
           handleId &&
           handleType &&
-          state.connectionStartFieldType
+          state.currentConnectionFieldType
         ) {
           const newConnection = findConnectionToValidHandle(
             node,
@@ -212,7 +212,7 @@ const nodesSlice = createSlice({
             nodeId,
             handleId,
             handleType,
-            state.connectionStartFieldType
+            state.currentConnectionFieldType
           );
           if (newConnection) {
             state.edges = addEdge(
@@ -224,7 +224,7 @@ const nodesSlice = createSlice({
       }
 
       state.connectionStartParams = null;
-      state.connectionStartFieldType = null;
+      state.currentConnectionFieldType = null;
     },
     edgeChangeStarted: (state) => {
       state.modifyingEdge = true;
@@ -258,11 +258,10 @@ const nodesSlice = createSlice({
         handleType === 'source'
           ? node.data.outputs[handleId]
           : node.data.inputs[handleId];
-      state.connectionStartFieldType =
-        field?.originalType ?? field?.type ?? null;
+      state.currentConnectionFieldType = field?.type ?? null;
     },
     connectionMade: (state, action: PayloadAction<Connection>) => {
-      const fieldType = state.connectionStartFieldType;
+      const fieldType = state.currentConnectionFieldType;
       if (!fieldType) {
         return;
       }
@@ -287,7 +286,7 @@ const nodesSlice = createSlice({
               nodeId &&
               handleId &&
               handleType &&
-              state.connectionStartFieldType
+              state.currentConnectionFieldType
             ) {
               const newConnection = findConnectionToValidHandle(
                 mouseOverNode,
@@ -296,7 +295,7 @@ const nodesSlice = createSlice({
                 nodeId,
                 handleId,
                 handleType,
-                state.connectionStartFieldType
+                state.currentConnectionFieldType
               );
               if (newConnection) {
                 state.edges = addEdge(
@@ -307,14 +306,14 @@ const nodesSlice = createSlice({
             }
           }
           state.connectionStartParams = null;
-          state.connectionStartFieldType = null;
+          state.currentConnectionFieldType = null;
         } else {
           state.addNewNodePosition = action.payload.cursorPosition;
           state.isAddNodePopoverOpen = true;
         }
       } else {
         state.connectionStartParams = null;
-        state.connectionStartFieldType = null;
+        state.currentConnectionFieldType = null;
       }
       state.modifyingEdge = false;
     },
@@ -943,7 +942,7 @@ const nodesSlice = createSlice({
 
       //Make sure these get reset if we close the popover and haven't selected a node
       state.connectionStartParams = null;
-      state.connectionStartFieldType = null;
+      state.currentConnectionFieldType = null;
     },
     addNodePopoverToggled: (state) => {
       state.isAddNodePopoverOpen = !state.isAddNodePopoverOpen;

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

@@ -21,7 +21,7 @@ export type NodesState = {
   edges: Edge<InvocationEdgeExtra>[];
   nodeTemplates: Record<string, InvocationTemplate>;
   connectionStartParams: OnConnectStartParams | null;
-  connectionStartFieldType: FieldType | string | null;
+  currentConnectionFieldType: FieldType | null;
   connectionMade: boolean;
   modifyingEdge: boolean;
   shouldShowFieldTypeLegend: boolean;

invokeai/frontend/web/src/features/nodes/store/util/buildNodeData.ts

@@ -94,7 +94,6 @@ export const buildNodeData = (
         name: outputName,
         type: outputTemplate.type,
         fieldKind: 'output',
-        originalType: outputTemplate.originalType,
       };
 
       outputsAccumulator[outputName] = outputFieldValue;

invokeai/frontend/web/src/features/nodes/store/util/findConnectionToValidHandle.ts

@@ -12,7 +12,7 @@ import { getIsGraphAcyclic } from './getIsGraphAcyclic';
 const isValidConnection = (
   edges: Edge[],
   handleCurrentType: HandleType,
-  handleCurrentFieldType: FieldType | string,
+  handleCurrentFieldType: FieldType,
   node: Node,
   handle: InputFieldValue | OutputFieldValue
 ) => {
@@ -35,12 +35,7 @@ const isValidConnection = (
     }
   }
 
-  if (
-    !validateSourceAndTargetTypes(
-      handleCurrentFieldType,
-      handle.originalType ?? handle.type
-    )
-  ) {
+  if (!validateSourceAndTargetTypes(handleCurrentFieldType, handle.type)) {
     isValidConnection = false;
   }
 
@@ -54,7 +49,7 @@ export const findConnectionToValidHandle = (
   handleCurrentNodeId: string,
   handleCurrentName: string,
   handleCurrentType: HandleType,
-  handleCurrentFieldType: FieldType | string
+  handleCurrentFieldType: FieldType
 ): Connection | null => {
   if (node.id === handleCurrentNodeId) {
     return null;

invokeai/frontend/web/src/features/nodes/store/util/makeIsConnectionValidSelector.ts

@@ -1,9 +1,9 @@
 import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
+import { getIsGraphAcyclic } from './getIsGraphAcyclic';
 import { FieldType } from 'features/nodes/types/types';
 import i18n from 'i18next';
 import { HandleType } from 'reactflow';
-import { getIsGraphAcyclic } from './getIsGraphAcyclic';
 import { validateSourceAndTargetTypes } from './validateSourceAndTargetTypes';
 
 /**
@@ -15,17 +15,17 @@ export const makeConnectionErrorSelector = (
   nodeId: string,
   fieldName: string,
   handleType: HandleType,
-  fieldType?: FieldType | string
+  fieldType?: FieldType
 ) => {
   return createSelector(stateSelector, (state) => {
     if (!fieldType) {
       return i18n.t('nodes.noFieldType');
     }
 
-    const { connectionStartFieldType, connectionStartParams, nodes, edges } =
+    const { currentConnectionFieldType, connectionStartParams, nodes, edges } =
       state.nodes;
 
-    if (!connectionStartParams || !connectionStartFieldType) {
+    if (!connectionStartParams || !currentConnectionFieldType) {
       return i18n.t('nodes.noConnectionInProgress');
     }
 
@@ -40,9 +40,9 @@ export const makeConnectionErrorSelector = (
     }
 
     const targetType =
-      handleType === 'target' ? fieldType : connectionStartFieldType;
+      handleType === 'target' ? fieldType : currentConnectionFieldType;
     const sourceType =
-      handleType === 'source' ? fieldType : connectionStartFieldType;
+      handleType === 'source' ? fieldType : currentConnectionFieldType;
 
     if (nodeId === connectionNodeId) {
       return i18n.t('nodes.cannotConnectToSelf');

invokeai/frontend/web/src/features/nodes/store/util/parseFieldType.ts

@@ -1,14 +0,0 @@
-import { FieldType } from 'features/nodes/types/types';
-
-export const getIsPolymorphic = (type: FieldType | string): boolean =>
-  type.endsWith('Polymorphic');
-
-export const getIsCollection = (type: FieldType | string): boolean =>
-  type.endsWith('Collection');
-
-export const getBaseType = (type: FieldType | string): FieldType | string =>
-  getIsPolymorphic(type)
-    ? type.replace(/Polymorphic$/, '')
-    : getIsCollection(type)
-    ? type.replace(/Collection$/, '')
-    : type;

invokeai/frontend/web/src/features/nodes/store/util/validateSourceAndTargetTypes.ts

@@ -1,32 +1,18 @@
-import { FieldType } from 'features/nodes/types/types';
 import {
-  getBaseType,
-  getIsCollection,
-  getIsPolymorphic,
-} from './parseFieldType';
+  COLLECTION_MAP,
+  COLLECTION_TYPES,
+  POLYMORPHIC_TO_SINGLE_MAP,
+  POLYMORPHIC_TYPES,
+} from 'features/nodes/types/constants';
+import { FieldType } from 'features/nodes/types/types';
 
-/**
- * Validates that the source and target types are compatible for a connection.
- * @param sourceType The type of the source field. Must be the originalType if it exists.
- * @param targetType The type of the target field. Must be the originalType if it exists.
- * @returns True if the connection is valid, false otherwise.
- */
 export const validateSourceAndTargetTypes = (
-  sourceType: FieldType | string,
-  targetType: FieldType | string
+  sourceType: FieldType,
+  targetType: FieldType
 ) => {
-  const isSourcePolymorphic = getIsPolymorphic(sourceType);
-  const isSourceCollection = getIsCollection(sourceType);
-  const sourceBaseType = getBaseType(sourceType);
-
-  const isTargetPolymorphic = getIsPolymorphic(targetType);
-  const isTargetCollection = getIsCollection(targetType);
-  const targetBaseType = getBaseType(targetType);
-
   // TODO: There's a bug with Collect -> Iterate nodes:
   // https://github.com/invoke-ai/InvokeAI/issues/3956
   // Once this is resolved, we can remove this check.
-  // Note that 'Collection' here is a field type, not node type.
   if (sourceType === 'Collection' && targetType === 'Collection') {
     return false;
   }
@@ -45,21 +31,37 @@ export const validateSourceAndTargetTypes = (
    */
 
   const isCollectionItemToNonCollection =
-    sourceType === 'CollectionItem' && !isTargetCollection;
+    sourceType === 'CollectionItem' && !COLLECTION_TYPES.includes(targetType);
 
   const isNonCollectionToCollectionItem =
     targetType === 'CollectionItem' &&
-    !isSourceCollection &&
-    !isSourcePolymorphic;
+    !COLLECTION_TYPES.includes(sourceType) &&
+    !POLYMORPHIC_TYPES.includes(sourceType);
 
   const isAnythingToPolymorphicOfSameBaseType =
-    isTargetPolymorphic && sourceBaseType === targetBaseType;
+    POLYMORPHIC_TYPES.includes(targetType) &&
+    (() => {
+      if (!POLYMORPHIC_TYPES.includes(targetType)) {
+        return false;
+      }
+      const baseType =
+        POLYMORPHIC_TO_SINGLE_MAP[
+          targetType as keyof typeof POLYMORPHIC_TO_SINGLE_MAP
+        ];
+
+      const collectionType =
+        COLLECTION_MAP[baseType as keyof typeof COLLECTION_MAP];
+
+      return sourceType === baseType || sourceType === collectionType;
+    })();
 
   const isGenericCollectionToAnyCollectionOrPolymorphic =
-    sourceType === 'Collection' && (isTargetCollection || isTargetPolymorphic);
+    sourceType === 'Collection' &&
+    (COLLECTION_TYPES.includes(targetType) ||
+      POLYMORPHIC_TYPES.includes(targetType));
 
   const isCollectionToGenericCollection =
-    targetType === 'Collection' && isSourceCollection;
+    targetType === 'Collection' && COLLECTION_TYPES.includes(sourceType);
 
   const isIntToFloat = sourceType === 'integer' && targetType === 'float';
 
@@ -69,7 +71,6 @@ export const validateSourceAndTargetTypes = (
 
   const isTargetAnyType = targetType === 'Any';
 
-  // One of these must be true for the connection to be valid
   return (
     isCollectionItemToNonCollection ||
     isNonCollectionToCollectionItem ||

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

@@ -20,6 +20,38 @@ export const KIND_MAP = {
   output: 'outputs' as const,
 };
 
+export const COLLECTION_TYPES: FieldType[] = [
+  'Collection',
+  'IntegerCollection',
+  'BooleanCollection',
+  'FloatCollection',
+  'StringCollection',
+  'ImageCollection',
+  'LatentsCollection',
+  'ConditioningCollection',
+  'ControlCollection',
+  'ColorCollection',
+  'T2IAdapterCollection',
+  'IPAdapterCollection',
+  'MetadataItemCollection',
+  'MetadataCollection',
+];
+
+export const POLYMORPHIC_TYPES: FieldType[] = [
+  'IntegerPolymorphic',
+  'BooleanPolymorphic',
+  'FloatPolymorphic',
+  'StringPolymorphic',
+  'ImagePolymorphic',
+  'LatentsPolymorphic',
+  'ConditioningPolymorphic',
+  'ControlPolymorphic',
+  'ColorPolymorphic',
+  'T2IAdapterPolymorphic',
+  'IPAdapterPolymorphic',
+  'MetadataItemPolymorphic',
+];
+
 export const MODEL_TYPES: FieldType[] = [
   'IPAdapterModelField',
   'ControlNetModelField',
@@ -36,26 +68,6 @@ export const MODEL_TYPES: FieldType[] = [
   'IPAdapterModelField',
 ];
 
-/**
- * TODO: Revise the field type naming scheme
- *
- * Unfortunately, due to inconsistent naming of types, we need to keep the below map objects/callbacks.
- *
- * Problems:
- * - some types do not use the word "Field" in their name, e.g. "Scheduler"
- * - primitive types use all-lowercase names, e.g. "integer"
- * - collection and polymorphic types do not use the word "Field"
- *
- * If these inconsistencies were resolved, we could remove these mappings and use simple string
- * parsing/manipulation to handle field types.
- *
- * It would make some of the parsing logic simpler and reduce the maintenance overhead of adding new
- * "official" field types.
- *
- * This will require migration logic for workflows to update their field types. Workflows *do* have a
- * version attached to them, so this shouldn't be too difficult.
- */
-
 export const COLLECTION_MAP: FieldTypeMapWithNumber = {
   integer: 'IntegerCollection',
   boolean: 'BooleanCollection',
@@ -71,7 +83,6 @@ export const COLLECTION_MAP: FieldTypeMapWithNumber = {
   IPAdapterField: 'IPAdapterCollection',
   MetadataItemField: 'MetadataItemCollection',
   MetadataField: 'MetadataCollection',
-  Custom: 'CustomCollection',
 };
 export const isCollectionItemType = (
   itemType: string | undefined
@@ -92,7 +103,6 @@ export const SINGLE_TO_POLYMORPHIC_MAP: FieldTypeMapWithNumber = {
   T2IAdapterField: 'T2IAdapterPolymorphic',
   IPAdapterField: 'IPAdapterPolymorphic',
   MetadataItemField: 'MetadataItemPolymorphic',
-  Custom: 'CustomPolymorphic',
 };
 
 export const POLYMORPHIC_TO_SINGLE_MAP: FieldTypeMap = {
@@ -108,7 +118,6 @@ export const POLYMORPHIC_TO_SINGLE_MAP: FieldTypeMap = {
   T2IAdapterPolymorphic: 'T2IAdapterField',
   IPAdapterPolymorphic: 'IPAdapterField',
   MetadataItemPolymorphic: 'MetadataItemField',
-  CustomPolymorphic: 'Custom',
 };
 
 export const TYPES_WITH_INPUT_COMPONENTS: FieldType[] = [
@@ -141,27 +150,12 @@ export const isPolymorphicItemType = (
 ): itemType is keyof typeof SINGLE_TO_POLYMORPHIC_MAP =>
   Boolean(itemType && itemType in SINGLE_TO_POLYMORPHIC_MAP);
 
-export const FIELDS: Record<FieldType | string, FieldUIConfig> = {
+export const FIELDS: Record<FieldType, FieldUIConfig> = {
   Any: {
     color: 'gray.500',
     description: 'Any field type is accepted.',
     title: 'Any',
   },
-  Custom: {
-    color: 'gray.500',
-    description: 'A custom field, provided by an external node.',
-    title: 'Custom',
-  },
-  CustomCollection: {
-    color: 'gray.500',
-    description: 'A custom field collection, provided by an external node.',
-    title: 'Custom Collection',
-  },
-  CustomPolymorphic: {
-    color: 'gray.500',
-    description: 'A custom field polymorphic, provided by an external node.',
-    title: 'Custom Polymorphic',
-  },
   MetadataField: {
     color: 'gray.500',
     description: 'A metadata dict.',

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

@@ -133,9 +133,6 @@ export const zFieldType = z.enum([
   'UNetField',
   'VaeField',
   'VaeModelField',
-  'Custom',
-  'CustomCollection',
-  'CustomPolymorphic',
 ]);
 
 export type FieldType = z.infer<typeof zFieldType>;
@@ -146,7 +143,7 @@ export type FieldTypeMapWithNumber = {
 
 export const zReservedFieldType = z.enum([
   'WorkflowField',
-  'IsIntermediate', // this is technically a reserved field type!
+  'IsIntermediate',
   'MetadataField',
 ]);
 
@@ -166,7 +163,6 @@ export const zFieldValueBase = z.object({
   id: z.string().trim().min(1),
   name: z.string().trim().min(1),
   type: zFieldType,
-  originalType: z.string().optional(),
 });
 export type FieldValueBase = z.infer<typeof zFieldValueBase>;
 
@@ -194,7 +190,6 @@ export type OutputFieldTemplate = {
   type: FieldType;
   title: string;
   description: string;
-  originalType?: string; // used for custom types
 } & _OutputField;
 
 export const zInputFieldValueBase = zFieldValueBase.extend({
@@ -794,21 +789,6 @@ export const zAnyInputFieldValue = zInputFieldValueBase.extend({
   value: z.any().optional(),
 });
 
-export const zCustomInputFieldValue = zInputFieldValueBase.extend({
-  type: z.literal('Custom'),
-  value: z.any().optional(),
-});
-
-export const zCustomCollectionInputFieldValue = zInputFieldValueBase.extend({
-  type: z.literal('CustomCollection'),
-  value: z.array(z.any()).optional(),
-});
-
-export const zCustomPolymorphicInputFieldValue = zInputFieldValueBase.extend({
-  type: z.literal('CustomPolymorphic'),
-  value: z.union([z.any(), z.array(z.any())]).optional(),
-});
-
 export const zInputFieldValue = z.discriminatedUnion('type', [
   zAnyInputFieldValue,
   zBoardInputFieldValue,
@@ -866,9 +846,6 @@ export const zInputFieldValue = z.discriminatedUnion('type', [
   zMetadataItemPolymorphicInputFieldValue,
   zMetadataInputFieldValue,
   zMetadataCollectionInputFieldValue,
-  zCustomInputFieldValue,
-  zCustomCollectionInputFieldValue,
-  zCustomPolymorphicInputFieldValue,
 ]);
 
 export type InputFieldValue = z.infer<typeof zInputFieldValue>;
@@ -879,7 +856,6 @@ export type InputFieldTemplateBase = {
   description: string;
   required: boolean;
   fieldKind: 'input';
-  originalType?: string; // used for custom types
 } & _InputField;
 
 export type AnyInputFieldTemplate = InputFieldTemplateBase & {
@@ -887,21 +863,6 @@ export type AnyInputFieldTemplate = InputFieldTemplateBase & {
   default: undefined;
 };
 
-export type CustomInputFieldTemplate = InputFieldTemplateBase & {
-  type: 'Custom';
-  default: undefined;
-};
-
-export type CustomCollectionInputFieldTemplate = InputFieldTemplateBase & {
-  type: 'CustomCollection';
-  default: [];
-};
-
-export type CustomPolymorphicInputFieldTemplate = InputFieldTemplateBase & {
-  type: 'CustomPolymorphic';
-  default: undefined;
-};
-
 export type IntegerInputFieldTemplate = InputFieldTemplateBase & {
   type: 'integer';
   default: number;
@@ -1298,10 +1259,7 @@ export type InputFieldTemplate =
   | MetadataItemCollectionInputFieldTemplate
   | MetadataInputFieldTemplate
   | MetadataItemPolymorphicInputFieldTemplate
-  | MetadataCollectionInputFieldTemplate
-  | CustomInputFieldTemplate
-  | CustomCollectionInputFieldTemplate
-  | CustomPolymorphicInputFieldTemplate;
+  | MetadataCollectionInputFieldTemplate;
 
 export const isInputFieldValue = (
   field?: InputFieldValue | OutputFieldValue

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

@@ -8,9 +8,9 @@ import {
 } from 'lodash-es';
 import { OpenAPIV3_1 } from 'openapi-types';
 import { ControlField } from 'services/api/types';
-import { getIsPolymorphic } from '../store/util/parseFieldType';
 import {
   COLLECTION_MAP,
+  POLYMORPHIC_TYPES,
   SINGLE_TO_POLYMORPHIC_MAP,
   isCollectionItemType,
   isPolymorphicItemType,
@@ -35,9 +35,6 @@ import {
   ControlInputFieldTemplate,
   ControlNetModelInputFieldTemplate,
   ControlPolymorphicInputFieldTemplate,
-  CustomCollectionInputFieldTemplate,
-  CustomInputFieldTemplate,
-  CustomPolymorphicInputFieldTemplate,
   DenoiseMaskInputFieldTemplate,
   EnumInputFieldTemplate,
   FieldType,
@@ -87,7 +84,6 @@ import {
   VaeInputFieldTemplate,
   VaeModelInputFieldTemplate,
   isArraySchemaObject,
-  isFieldType,
   isNonArraySchemaObject,
   isRefObject,
   isSchemaObject,
@@ -985,45 +981,9 @@ const buildSchedulerInputFieldTemplate = ({
   return template;
 };
 
-const buildCustomCollectionInputFieldTemplate = ({
-  baseField,
-}: BuildInputFieldArg): CustomCollectionInputFieldTemplate => {
-  const template: CustomCollectionInputFieldTemplate = {
-    ...baseField,
-    type: 'CustomCollection',
-    default: [],
-  };
-
-  return template;
-};
-
-const buildCustomPolymorphicInputFieldTemplate = ({
-  baseField,
-}: BuildInputFieldArg): CustomPolymorphicInputFieldTemplate => {
-  const template: CustomPolymorphicInputFieldTemplate = {
-    ...baseField,
-    type: 'CustomPolymorphic',
-    default: undefined,
-  };
-
-  return template;
-};
-
-const buildCustomInputFieldTemplate = ({
-  baseField,
-}: BuildInputFieldArg): CustomInputFieldTemplate => {
-  const template: CustomInputFieldTemplate = {
-    ...baseField,
-    type: 'Custom',
-    default: undefined,
-  };
-
-  return template;
-};
-
 export const getFieldType = (
   schemaObject: OpenAPIV3_1SchemaOrRef
-): { type: string; originalType: string } | undefined => {
+): string | undefined => {
   if (isSchemaObject(schemaObject)) {
     if (!schemaObject.type) {
       // if schemaObject has no type, then it should have one of allOf, anyOf, oneOf
@@ -1031,17 +991,7 @@ export const getFieldType = (
       if (schemaObject.allOf) {
         const allOf = schemaObject.allOf;
         if (allOf && allOf[0] && isRefObject(allOf[0])) {
-          // This is a single ref type
-          const originalType = refObjectToSchemaName(allOf[0]);
-
-          if (!originalType) {
-            // something has gone terribly awry
-            return;
-          }
-          return {
-            type: isFieldType(originalType) ? originalType : 'Custom',
-            originalType,
-          };
+          return refObjectToSchemaName(allOf[0]);
         }
       } else if (schemaObject.anyOf) {
         // ignore null types
@@ -1054,17 +1004,8 @@ export const getFieldType = (
           return true;
         });
         if (anyOf.length === 1) {
-          // This is a single ref type
           if (isRefObject(anyOf[0])) {
-            const originalType = refObjectToSchemaName(anyOf[0]);
-            if (!originalType) {
-              return;
-            }
-
-            return {
-              type: isFieldType(originalType) ? originalType : 'Custom',
-              originalType,
-            };
+            return refObjectToSchemaName(anyOf[0]);
           } else if (isSchemaObject(anyOf[0])) {
             return getFieldType(anyOf[0]);
           }
@@ -1110,29 +1051,16 @@ export const getFieldType = (
             secondType = second.type;
           }
         }
-        if (firstType === secondType) {
-          if (isPolymorphicItemType(firstType)) {
-            // Known polymorphic field type
-            const originalType = SINGLE_TO_POLYMORPHIC_MAP[firstType];
-            if (!originalType) {
-              return;
-            }
-            return { type: originalType, originalType };
-          }
-
-          // else custom polymorphic
-          return {
-            type: 'CustomPolymorphic',
-            originalType: `${firstType}Polymorphic`,
-          };
+        if (firstType === secondType && isPolymorphicItemType(firstType)) {
+          return SINGLE_TO_POLYMORPHIC_MAP[firstType];
         }
       }
     } else if (schemaObject.enum) {
-      return { type: 'enum', originalType: 'enum' };
+      return 'enum';
     } else if (schemaObject.type) {
       if (schemaObject.type === 'number') {
         // floats are "number" in OpenAPI, while ints are "integer" - we need to distinguish them
-        return { type: 'float', originalType: 'float' };
+        return 'float';
       } else if (schemaObject.type === 'array') {
         const itemType = isSchemaObject(schemaObject.items)
           ? schemaObject.items.type
@@ -1144,39 +1072,16 @@ export const getFieldType = (
         }
 
         if (isCollectionItemType(itemType)) {
-          // known collection field type
-          const originalType = COLLECTION_MAP[itemType];
-          if (!originalType) {
-            return;
-          }
-          return { type: originalType, originalType };
+          return COLLECTION_MAP[itemType];
         }
 
-        return {
-          type: 'CustomCollection',
-          originalType: `${itemType}Collection`,
-        };
-      } else if (
-        !isArray(schemaObject.type) &&
-        schemaObject.type !== 'null' && // 'null' is not valid
-        schemaObject.type !== 'object' // 'object' is not valid
-      ) {
-        const originalType = schemaObject.type;
-        return { type: originalType, originalType };
+        return;
+      } else if (!isArray(schemaObject.type)) {
+        return schemaObject.type;
       }
-      // else ignore
-      return;
     }
   } else if (isRefObject(schemaObject)) {
-    const originalType = refObjectToSchemaName(schemaObject);
-    if (!originalType) {
-      return;
-    }
-
-    return {
-      type: isFieldType(originalType) ? originalType : 'Custom',
-      originalType,
-    };
+    return refObjectToSchemaName(schemaObject);
   }
   return;
 };
@@ -1240,11 +1145,13 @@ const TEMPLATE_BUILDER_MAP: {
   UNetField: buildUNetInputFieldTemplate,
   VaeField: buildVaeInputFieldTemplate,
   VaeModelField: buildVaeModelInputFieldTemplate,
-  Custom: buildCustomInputFieldTemplate,
-  CustomCollection: buildCustomCollectionInputFieldTemplate,
-  CustomPolymorphic: buildCustomPolymorphicInputFieldTemplate,
 };
 
+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
@@ -1254,8 +1161,7 @@ export const buildInputFieldTemplate = (
   nodeSchema: InvocationSchemaObject,
   fieldSchema: InvocationFieldSchema,
   name: string,
-  fieldType: FieldType,
-  originalType: string
+  fieldType: FieldType
 ) => {
   const {
     input,
@@ -1269,7 +1175,7 @@ export const buildInputFieldTemplate = (
 
   const extra = {
     // TODO: Can we support polymorphic inputs in the UI?
-    input: getIsPolymorphic(fieldType) ? 'connection' : input,
+    input: POLYMORPHIC_TYPES.includes(fieldType) ? 'connection' : input,
     ui_hidden,
     ui_component,
     ui_type,
@@ -1277,7 +1183,6 @@ export const buildInputFieldTemplate = (
     ui_order,
     ui_choice_labels,
     item_default,
-    originalType,
   };
 
   const baseField = {
@@ -1288,6 +1193,10 @@ 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

@@ -60,9 +60,6 @@ const FIELD_VALUE_FALLBACK_MAP: {
   UNetField: undefined,
   VaeField: undefined,
   VaeModelField: undefined,
-  Custom: undefined,
-  CustomCollection: [],
-  CustomPolymorphic: undefined,
 };
 
 export const buildInputFieldValue = (
@@ -79,9 +76,10 @@ export const buildInputFieldValue = (
     type: template.type,
     label: '',
     fieldKind: 'input',
-    originalType: template.originalType,
-    value: template.default ?? FIELD_VALUE_FALLBACK_MAP[template.type],
   } as InputFieldValue;
 
+  fieldValue.value =
+    template.default ?? FIELD_VALUE_FALLBACK_MAP[template.type];
+
   return fieldValue;
 };

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

@@ -103,15 +103,14 @@ export const parseSchema = (
           return inputsAccumulator;
         }
 
-        const fieldTypeResult = property.ui_type
-          ? { type: property.ui_type, originalType: property.ui_type }
-          : getFieldType(property);
+        const fieldType = property.ui_type ?? getFieldType(property);
 
-        if (!fieldTypeResult) {
+        if (!fieldType) {
           logger('nodes').warn(
             {
               node: type,
               fieldName: propertyName,
+              fieldType,
               field: parseify(property),
             },
             'Missing input field type'
@@ -119,9 +118,6 @@ export const parseSchema = (
           return inputsAccumulator;
         }
 
-        // stash this for custom types
-        const { type: fieldType, originalType } = fieldTypeResult;
-
         if (fieldType === 'WorkflowField') {
           withWorkflow = true;
           return inputsAccumulator;
@@ -140,18 +136,6 @@ export const parseSchema = (
           return inputsAccumulator;
         }
 
-        if (!isFieldType(originalType)) {
-          logger('nodes').debug(
-            {
-              node: type,
-              fieldName: propertyName,
-              fieldType,
-              field: parseify(property),
-            },
-            `Fallback handling for unknown input field type: ${fieldType}`
-          );
-        }
-
         if (!isFieldType(fieldType)) {
           logger('nodes').warn(
             {
@@ -160,7 +144,7 @@ export const parseSchema = (
               fieldType,
               field: parseify(property),
             },
-            `Unable to parse field type: ${fieldType}`
+            `Skipping unknown input field type: ${fieldType}`
           );
           return inputsAccumulator;
         }
@@ -169,8 +153,7 @@ export const parseSchema = (
           schema,
           property,
           propertyName,
-          fieldType,
-          originalType
+          fieldType
         );
 
         if (!field) {
@@ -179,7 +162,6 @@ export const parseSchema = (
               node: type,
               fieldName: propertyName,
               fieldType,
-              originalType,
               field: parseify(property),
             },
             'Skipping input field with no template'
@@ -238,46 +220,12 @@ export const parseSchema = (
           return outputsAccumulator;
         }
 
-        const fieldTypeResult = property.ui_type
-          ? { type: property.ui_type, originalType: property.ui_type }
-          : getFieldType(property);
-
-        if (!fieldTypeResult) {
-          logger('nodes').warn(
-            {
-              node: type,
-              fieldName: propertyName,
-              field: parseify(property),
-            },
-            'Missing output field type'
-          );
-          return outputsAccumulator;
-        }
-
-        const { type: fieldType, originalType } = fieldTypeResult;
-
-        if (!isFieldType(fieldType)) {
-          logger('nodes').debug(
-            {
-              node: type,
-              fieldName: propertyName,
-              fieldType,
-              originalType,
-              field: parseify(property),
-            },
-            `Fallback handling for unknown output field type: ${fieldType}`
-          );
-        }
+        const fieldType = property.ui_type ?? getFieldType(property);
 
         if (!isFieldType(fieldType)) {
           logger('nodes').warn(
-            {
-              node: type,
-              fieldName: propertyName,
-              fieldType,
-              field: parseify(property),
-            },
-            `Unable to parse field type: ${fieldType}`
+            { fieldName: propertyName, fieldType, field: parseify(property) },
+            'Skipping unknown output field type'
           );
           return outputsAccumulator;
         }
@@ -292,7 +240,6 @@ export const parseSchema = (
           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

@@ -5,16 +5,9 @@ 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 } from 'react';
+import { memo, useCallback, useMemo } 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(
@@ -22,6 +15,15 @@ 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

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

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

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

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

@@ -1,8 +1,9 @@
 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"
@@ -22,16 +23,16 @@ const QueueListHeader = () => {
         <Text variant="subtext">#</Text>
       </Flex>
       <Flex ps={0.5} w={COLUMN_WIDTHS.statusBadge} alignItems="center">
-        <Text variant="subtext">status</Text>
+        <Text variant="subtext">{t('queue.status')}</Text>
       </Flex>
       <Flex ps={0.5} w={COLUMN_WIDTHS.time} alignItems="center">
-        <Text variant="subtext">time</Text>
+        <Text variant="subtext">{t('queue.time')}</Text>
       </Flex>
       <Flex ps={0.5} w={COLUMN_WIDTHS.batchId} alignItems="center">
-        <Text variant="subtext">batch</Text>
+        <Text variant="subtext">{t('queue.batch')}</Text>
       </Flex>
       <Flex ps={0.5} w={COLUMN_WIDTHS.fieldValues} alignItems="center">
-        <Text variant="subtext">batch field values</Text>
+        <Text variant="subtext">{t('queue.batchFieldValues')}</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="Enable NSFW Checker"
+                  label={t('settings.enableNSFWChecker')}
                   isDisabled={!isNSFWCheckerAvailable}
                   isChecked={shouldUseNSFWChecker}
                   onChange={handleChangeShouldUseNSFWChecker}
                 />
                 <SettingSwitch
-                  label="Enable Invisible Watermark"
+                  label={t('settings.enableInvisibleWatermark')}
                   isDisabled={!isWatermarkerAvailable}
                   isChecked={shouldUseWatermarker}
                   onChange={handleChangeShouldUseWatermarker}
@@ -351,7 +351,7 @@ const SettingsModal = ({ children, config }: SettingsModalProps) => {
                   />
                 )}
                 <SettingSwitch
-                  label="Enable informational popovers"
+                  label={t('settings.enableInformationalPopovers')}
                   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 i18n from 'i18n';
-import { ReactNode, memo } from 'react';
+import { ReactNode, memo, useMemo } from 'react';
+import { useTranslation } from 'react-i18next';
 import ImportModelsPanel from '../../../../modelManager/subpanels/ImportModelsPanel';
 import MergeModelsPanel from '../../../../modelManager/subpanels/MergeModelsPanel';
 import ModelManagerPanel from '../../../../modelManager/subpanels/ModelManagerPanel';
@@ -18,30 +18,34 @@ type ModelManagerTabInfo = {
   content: ReactNode;
 };
 
-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 ModelManagerTab = () => {
+  const { t } = useTranslation();
+
+  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]
+  );
   return (
     <Tabs
       isLazy

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

@@ -6,6 +6,7 @@ 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',
@@ -13,6 +14,7 @@ const droppableData: CanvasInitialImageDropData = {
 };
 
 const UnifiedCanvasContent = () => {
+  const { t } = useTranslation();
   const {
     isOver,
     setNodeRef: setDroppableRef,
@@ -40,7 +42,10 @@ const UnifiedCanvasContent = () => {
       <IAICanvasToolbar />
       <IAICanvas />
       {isValidDrop(droppableData, active) && (
-        <IAIDropOverlay isOver={isOver} label="Set Canvas Initial Image" />
+        <IAIDropOverlay
+          isOver={isOver}
+          label={t('toast.setCanvasInitialImage')}
+        />
       )}
     </Flex>
   );

invokeai/version/invokeai_version.py

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