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https://github.com/invoke-ai/InvokeAI
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fix(ui): fix incorrect comment
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@ -1,5 +1,5 @@
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import { startAppListening } from '..';
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import { nodeUpdated, sessionCreated } from 'services/thunks/session';
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import { sessionCreated } from 'services/thunks/session';
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import { buildCanvasGraphComponents } from 'features/nodes/util/graphBuilders/buildCanvasGraph';
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import { log } from 'app/logging/useLogger';
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import { canvasGraphBuilt } from 'features/nodes/store/actions';
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@ -20,20 +20,17 @@ import { sessionReadyToInvoke } from 'features/system/store/actions';
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const moduleLog = log.child({ namespace: 'invoke' });
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/**
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* This listener is responsible invoking the canvas. This involved a number of steps:
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* This listener is responsible invoking the canvas. This involves a number of steps:
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*
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* 1. Generate image blobs from the canvas layers
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* 2. Determine the generation mode from the layers (txt2img, img2img, inpaint)
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* 3. Build the canvas graph
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* 4. Create the session
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* 5. Upload the init image if necessary, then update the graph to refer to it (needs a separate request)
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* 6. Upload the mask image if necessary, then update the graph to refer to it (needs a separate request)
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* 7. Initialize the staging area if not yet initialized
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* 8. Finally, dispatch the sessionReadyToInvoke action to invoke the session
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*
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* We have to do the uploads after creating the session:
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* - We need to associate these particular uploads to a session, and flag them as intermediates
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* - To do this, we need to associa
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* 4. Create the session with the graph
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* 5. Upload the init image if necessary
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* 6. Upload the mask image if necessary
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* 7. Update the init and mask images with the session ID
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* 8. Initialize the staging area if not yet initialized
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* 9. Dispatch the sessionReadyToInvoke action to invoke the session
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*/
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export const addUserInvokedCanvasListener = () => {
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startAppListening({
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