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Update app.py

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  1. app.py +1 -1
app.py CHANGED
@@ -16,7 +16,7 @@ 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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- pipe.load_lora_weights("alvdansen/flux-koda")
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  pipe.enable_lora()
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  # vae = AutoencoderKL.from_pretrained("black-forest-labs/FLUX.1-dev", subfolder="vae")
 
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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("Himanshu806/testLora")
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  pipe.enable_lora()
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  # vae = AutoencoderKL.from_pretrained("black-forest-labs/FLUX.1-dev", subfolder="vae")