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Update app.py
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app.py
CHANGED
@@ -113,7 +113,7 @@ def load_and_prepare_model(model_id):
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pipeX = StableDiffusionXLPipeline.from_pretrained("SG161222/RealVisXL_V5.0", torch_dtype=torch.float32)
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pipe = StableDiffusionXLPipeline.from_pretrained(
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model_id,
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add_watermarker=False,
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# use_safetensors=True,
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# vae=AutoencoderKL.from_pretrained("BeastHF/MyBack_SDXL_Juggernaut_XL_VAE/MyBack_SDXL_Juggernaut_XL_VAE_V10(version_X).safetensors",repo_type='model',safety_checker=None),
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@@ -123,7 +123,7 @@ def load_and_prepare_model(model_id):
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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.to('cuda')
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# pipe.scheduler=EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
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#pipe.to(dtype=torch.bfloat16)
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pipe.to(device)
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pipe.to(torch.bfloat16)
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pipeX = StableDiffusionXLPipeline.from_pretrained("SG161222/RealVisXL_V5.0", torch_dtype=torch.float32)
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pipe = StableDiffusionXLPipeline.from_pretrained(
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model_id,
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+
# torch_dtype=torch.bfloat16,
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add_watermarker=False,
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# use_safetensors=True,
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# vae=AutoencoderKL.from_pretrained("BeastHF/MyBack_SDXL_Juggernaut_XL_VAE/MyBack_SDXL_Juggernaut_XL_VAE_V10(version_X).safetensors",repo_type='model',safety_checker=None),
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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.to('cuda')
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# pipe.scheduler=EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
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+
pipe.unet = pipeX.unet
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#pipe.to(dtype=torch.bfloat16)
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pipe.to(device)
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pipe.to(torch.bfloat16)
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