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Update app.py
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app.py
CHANGED
@@ -204,11 +204,11 @@ def load_and_prepare_model():
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pipe.vae.vae_scale_factor=8
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#pipe.scheduler = sched
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#pipe.vae=vae.to(torch.bfloat16)
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#pipe.unet=pipeX.unet
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#pipe.scheduler=EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset=1)
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pipe.scheduler=EulerAncestralDiscreteScheduler.from_pretrained('ford442/RealVisXL_V5.0_BF16', subfolder='scheduler',beta_schedule="scaled_linear")
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pipe.to(device=device, dtype=torch.bfloat16)
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#pipe.to(torch.bfloat16)
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pipe.vae.vae_scale_factor=8
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#pipe.scheduler = sched
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pipe.scheduler =EDMDPMSolverMultistepScheduler.from_pretrained('John6666/uber-realistic-porn-merge-xl-urpmxl-v6final-sdxl', subfolder='scheduler', algorithm_type='sde-dpmsolver++')
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#pipe.vae=vae.to(torch.bfloat16)
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#pipe.unet=pipeX.unet
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#pipe.scheduler=EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset=1)
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#pipe.scheduler=EulerAncestralDiscreteScheduler.from_pretrained('ford442/RealVisXL_V5.0_BF16', subfolder='scheduler',beta_schedule="scaled_linear")
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pipe.to(device=device, dtype=torch.bfloat16)
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#pipe.to(torch.bfloat16)
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