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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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| .. | ||
| __init__.py | ||
| baseinvocation.py | ||
| collections.py | ||
| compel.py | ||
| controlnet_image_processors.py | ||
| cv.py | ||
| image.py | ||
| infill.py | ||
| ip_adapter.py | ||
| latent.py | ||
| math.py | ||
| metadata.py | ||
| model.py | ||
| noise.py | ||
| onnx.py | ||
| param_easing.py | ||
| primitives.py | ||
| prompt.py | ||
| sdxl.py | ||
| strings.py | ||
| upscale.py | ||