feat(nodes): update LoRAMetadataItem model

LoRA model now at under `model` not `lora.

invokeai/app/invocations/metadata.py

@@ -33,7 +33,7 @@ class MetadataItemField(BaseModel):
 class LoRAMetadataField(BaseModel):
     """LoRA Metadata Field"""
 
-    lora: LoRAModelField = Field(description=FieldDescriptions.lora_model)
+    model: LoRAModelField = Field(description=FieldDescriptions.lora_model)
     weight: float = Field(description=FieldDescriptions.lora_weight)
 
 
@@ -114,7 +114,7 @@ GENERATION_MODES = Literal[
 ]
 
 
-@invocation("core_metadata", title="Core Metadata", tags=["metadata"], category="metadata", version="1.0.1")
+@invocation("core_metadata", title="Core Metadata", tags=["metadata"], category="metadata", version="1.1.1")
 class CoreMetadataInvocation(BaseInvocation):
     """Collects core generation metadata into a MetadataField"""
 

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

@@ -26,45 +26,3 @@ export type ModelMetadataItem = z.infer<typeof zModelMetadataItem>;
 export type VAEModelMetadataItem = z.infer<typeof zVAEModelMetadataItem>;
 // #endregion
 
-// #region CoreMetadata
-export const zCoreMetadata = z
-  .object({
-    app_version: z.string().nullish().catch(null),
-    generation_mode: z.string().nullish().catch(null),
-    created_by: z.string().nullish().catch(null),
-    positive_prompt: z.string().nullish().catch(null),
-    negative_prompt: z.string().nullish().catch(null),
-    width: z.number().int().nullish().catch(null),
-    height: z.number().int().nullish().catch(null),
-    seed: z.number().int().nullish().catch(null),
-    rand_device: z.string().nullish().catch(null),
-    cfg_scale: z.number().nullish().catch(null),
-    cfg_rescale_multiplier: z.number().nullish().catch(null),
-    steps: z.number().int().nullish().catch(null),
-    scheduler: z.string().nullish().catch(null),
-    clip_skip: z.number().int().nullish().catch(null),
-    model: zModelMetadataItem.nullish().catch(null),
-    controlnets: z.array(zControlNetMetadataItem).nullish().catch(null),
-    ipAdapters: z.array(zIPAdapterMetadataItem).nullish().catch(null),
-    t2iAdapters: z.array(zT2IAdapterMetadataItem).nullish().catch(null),
-    loras: z.array(zLoRAMetadataItem).nullish().catch(null),
-    vae: zVAEModelMetadataItem.nullish().catch(null),
-    strength: z.number().nullish().catch(null),
-    hrf_enabled: z.boolean().nullish().catch(null),
-    hrf_strength: z.number().nullish().catch(null),
-    hrf_method: z.string().nullish().catch(null),
-    init_image: z.string().nullish().catch(null),
-    positive_style_prompt: z.string().nullish().catch(null),
-    negative_style_prompt: z.string().nullish().catch(null),
-    refiner_model: zSDXLRefinerModelMetadataItem.nullish().catch(null),
-    refiner_cfg_scale: z.number().nullish().catch(null),
-    refiner_steps: z.number().int().nullish().catch(null),
-    refiner_scheduler: z.string().nullish().catch(null),
-    refiner_positive_aesthetic_score: z.number().nullish().catch(null),
-    refiner_negative_aesthetic_score: z.number().nullish().catch(null),
-    refiner_start: z.number().nullish().catch(null),
-  })
-  .passthrough();
-export type CoreMetadata = z.infer<typeof zCoreMetadata>;
-
-// #endregion

invokeai/frontend/web/src/features/nodes/util/graph/addLoRAsToGraph.ts

@@ -53,7 +53,7 @@ export const addLoRAsToGraph = (
     };
 
     loraMetadata.push({
-      lora: { key },
+      model: { key },
       weight,
     });
 

invokeai/frontend/web/src/features/nodes/util/graph/addSDXLLoRAstoGraph.ts

@@ -1,8 +1,6 @@
 import type { RootState } from 'app/store/store';
-import type { LoRAMetadataItem } from 'features/nodes/types/metadata';
-import { zLoRAMetadataItem } from 'features/nodes/types/metadata';
 import { filter, size } from 'lodash-es';
-import type { NonNullableGraph, SDXLLoraLoaderInvocation } from 'services/api/types';
+import type { CoreMetadataInvocation, NonNullableGraph, SDXLLoraLoaderInvocation } from 'services/api/types';
 
 import {
   LORA_LOADER,
@@ -36,7 +34,7 @@ export const addSDXLLoRAsToGraph = (
     return;
   }
 
-  const loraMetadata: LoRAMetadataItem[] = [];
+  const loraMetadata: CoreMetadataInvocation['loras'] = [];
 
   // Handle Seamless Plugs
   const unetLoaderId = modelLoaderNodeId;
@@ -70,12 +68,7 @@ export const addSDXLLoRAsToGraph = (
       weight,
     };
 
-    loraMetadata.push(
-      zLoRAMetadataItem.parse({
-        lora: { key },
-        weight,
-      })
-    );
+    loraMetadata.push({ model: { key }, weight });
 
     // add to graph
     graph.nodes[currentLoraNodeId] = loraLoaderNode;