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https://github.com/invoke-ai/InvokeAI
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297408d67e
In the client, a controlnet or t2i adapter has two images: - The source control image: the image the user selected (required) - The processed control image: the user's image after we've processed it (optional) The processed image is optional because a user may provide a pre-processed image. We only actually use one of these images when building the graph, and until this change, we only stored one of the in image metadata. This created a situation where only a processed image was stored in metadata - say, a canny edge map - and the user-selected image wasn't provided. By adding the processed image to metadata, we can recall both the control image and optional processed image. This commit is followed by a UI-facing changes to support the change. |
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| .. | ||
| custom_nodes | ||
| __init__.py | ||
| baseinvocation.py | ||
| collections.py | ||
| compel.py | ||
| constants.py | ||
| controlnet_image_processors.py | ||
| cv.py | ||
| facetools.py | ||
| fields.py | ||
| image.py | ||
| infill.py | ||
| ip_adapter.py | ||
| latent.py | ||
| math.py | ||
| metadata.py | ||
| model.py | ||
| noise.py | ||
| param_easing.py | ||
| primitives.py | ||
| prompt.py | ||
| sdxl.py | ||
| strings.py | ||
| t2i_adapter.py | ||
| tiles.py | ||
| upscale.py | ||
| util.py | ||