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https://github.com/invoke-ai/InvokeAI
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fix: SDXL LoRA's not working with seamless
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aaae471910
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@ -11,9 +11,11 @@ import {
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METADATA_ACCUMULATOR,
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NEGATIVE_CONDITIONING,
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POSITIVE_CONDITIONING,
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REFINER_SEAMLESS,
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SDXL_CANVAS_INPAINT_GRAPH,
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SDXL_CANVAS_OUTPAINT_GRAPH,
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SDXL_MODEL_LOADER,
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SEAMLESS,
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} from './constants';
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export const addSDXLLoRAsToGraph = (
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@ -36,20 +38,25 @@ export const addSDXLLoRAsToGraph = (
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| MetadataAccumulatorInvocation
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| undefined;
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// Handle Seamless Plugs
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const unetLoaderId = modelLoaderNodeId;
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let clipLoaderId = modelLoaderNodeId;
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if ([SEAMLESS, REFINER_SEAMLESS].includes(modelLoaderNodeId)) {
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clipLoaderId = SDXL_MODEL_LOADER;
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}
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if (loraCount > 0) {
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// Remove modelLoaderNodeId unet/clip/clip2 connections to feed it to LoRAs
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graph.edges = graph.edges.filter(
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(e) =>
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!(
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e.source.node_id === modelLoaderNodeId &&
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['unet'].includes(e.source.field)
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e.source.node_id === unetLoaderId && ['unet'].includes(e.source.field)
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) &&
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!(
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e.source.node_id === modelLoaderNodeId &&
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['clip'].includes(e.source.field)
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e.source.node_id === clipLoaderId && ['clip'].includes(e.source.field)
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) &&
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!(
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e.source.node_id === modelLoaderNodeId &&
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e.source.node_id === clipLoaderId &&
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['clip2'].includes(e.source.field)
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)
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);
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@ -88,7 +95,7 @@ export const addSDXLLoRAsToGraph = (
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// first lora = start the lora chain, attach directly to model loader
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graph.edges.push({
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source: {
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node_id: modelLoaderNodeId,
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node_id: unetLoaderId,
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field: 'unet',
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},
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destination: {
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@ -99,7 +106,7 @@ export const addSDXLLoRAsToGraph = (
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graph.edges.push({
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source: {
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node_id: modelLoaderNodeId,
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node_id: clipLoaderId,
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field: 'clip',
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},
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destination: {
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@ -110,7 +117,7 @@ export const addSDXLLoRAsToGraph = (
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graph.edges.push({
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source: {
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node_id: modelLoaderNodeId,
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node_id: clipLoaderId,
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field: 'clip2',
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},
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destination: {
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