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Update app.py
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app.py
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@@ -14,6 +14,9 @@ MAX_SEED = np.iinfo(np.int32).max
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MAX_IMAGE_SIZE = 2048
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pipe = FluxFillPipeline.from_pretrained("black-forest-labs/FLUX.1-Fill-dev", torch_dtype=torch.bfloat16).to("cuda")
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def calculate_optimal_dimensions(image: Image.Image):
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# Extract the original dimensions
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MAX_IMAGE_SIZE = 2048
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pipe = FluxFillPipeline.from_pretrained("black-forest-labs/FLUX.1-Fill-dev", torch_dtype=torch.bfloat16).to("cuda")
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pipe.load_lora_weights("blanchon/FluxFillFurniture", weight_name="lora_fill.safetensors")
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pipe.fuse_lora(lora_scale=1.0)
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pipe.to("cuda")
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def calculate_optimal_dimensions(image: Image.Image):
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# Extract the original dimensions
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