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https://github.com/invoke-ai/InvokeAI
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bdfdf854fc
Add `batch_id` to outbound events. This necessitates adding it to both `InvocationContext` and `InvocationQueueItem`. This allows the canvas to receive images. When the user enqueues a batch on the canvas, it is expected that all images from that batch are directed to the canvas. The simplest, most flexible solution is to add the `batch_id` to the invocation context-y stuff. Then everything knows what batch it came from, and we can have the canvas pick up images associated with its list of canvas `batch_id`s. |
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| .. | ||
| config | ||
| invocation_cache | ||
| models | ||
| session_processor | ||
| session_queue | ||
| shared | ||
| __init__.py | ||
| board_image_record_storage.py | ||
| board_images.py | ||
| board_record_storage.py | ||
| boards.py | ||
| default_graphs.py | ||
| events.py | ||
| graph.py | ||
| image_file_storage.py | ||
| image_record_storage.py | ||
| images.py | ||
| invocation_queue.py | ||
| invocation_services.py | ||
| invocation_stats.py | ||
| invoker.py | ||
| item_storage.py | ||
| latent_storage.py | ||
| model_manager_service.py | ||
| processor.py | ||
| resource_name.py | ||
| sqlite.py | ||
| thread.py | ||
| urls.py | ||