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README.md
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# What's New
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BRIA 2.3 ControlNet Generative Fill can be applied on top of BRIA 2.3 Text-to-Image and therefore enable to use [Fast-LORA](https://huggingface.co/briaai/BRIA-2.3-FAST-LORA). This results in extremely fast
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def get_masked_image(image, image_mask, width, height):
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image_mask = image_mask #
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image_mask = image_mask.resize((width, height)) # object to remove is white (1)
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image_mask_pil = image_mask
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image = np.array(image.convert("RGB")).astype(np.float32) / 255.0
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# What's New
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BRIA 2.3 ControlNet Generative Fill can be applied on top of BRIA 2.3 Text-to-Image and therefore enable to use [Fast-LORA](https://huggingface.co/briaai/BRIA-2.3-FAST-LORA). This results in extremely fast generative fill model, requires only 1.6s using A10 GPU.
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def get_masked_image(image, image_mask, width, height):
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image_mask = image_mask # fill area is white
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image_mask = image_mask.resize((width, height)) # object to remove is white (1)
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image_mask_pil = image_mask
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image = np.array(image.convert("RGB")).astype(np.float32) / 255.0
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