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Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -111,7 +111,7 @@ def load_and_prepare_model(model_id):
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# vae = AutoencoderKL.from_pretrained("BeastHF/MyBack_SDXL_Juggernaut_XL_VAE/MyBack_SDXL_Juggernaut_XL_VAE_V10(version_X).safetensors",safety_checker=None).to(torch.bfloat16)
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#sched = EulerAncestralDiscreteScheduler.from_pretrained("SG161222/RealVisXL_V5.0", subfolder='scheduler',beta_schedule="scaled_linear", steps_offset=1,timestep_spacing="trailing"))
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#sched = EulerAncestralDiscreteScheduler.from_pretrained("SG161222/RealVisXL_V5.0", subfolder='scheduler', steps_offset=1,timestep_spacing="trailing")
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sched = EulerAncestralDiscreteScheduler.from_pretrained('ford442/RealVisXL_V5.0_BF16', subfolder='scheduler',beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset=1,use_karras_sigmas=True)
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#sched = EulerAncestralDiscreteScheduler.from_pretrained('ford442/RealVisXL_V5.0_BF16', subfolder='scheduler',beta_schedule="scaled_linear")
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#pipeX = StableDiffusionXLPipeline.from_pretrained("SG161222/RealVisXL_V5.0").to(torch.bfloat16)
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#pipeX = StableDiffusionXLPipeline.from_pretrained("ford442/Juggernaut-XI-v11-fp32",use_safetensors=True)
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@@ -119,7 +119,8 @@ def load_and_prepare_model(model_id):
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#'ford442/RealVisXL_V5.0_BF16',
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#'ford442/Juggernaut-XI-v11-fp32',
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# 'SG161222/RealVisXL_V5.0',
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'John6666/uber-realistic-porn-merge-xl-urpmxl-v3-sdxl',
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#torch_dtype=torch.bfloat16,
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add_watermarker=False,
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# custom_pipeline="lpw_stable_diffusion_xl",
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@@ -170,7 +171,8 @@ def load_and_prepare_model(model_id):
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#pipe.vae.do_convert_rgb=True
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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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# vae = AutoencoderKL.from_pretrained("BeastHF/MyBack_SDXL_Juggernaut_XL_VAE/MyBack_SDXL_Juggernaut_XL_VAE_V10(version_X).safetensors",safety_checker=None).to(torch.bfloat16)
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#sched = EulerAncestralDiscreteScheduler.from_pretrained("SG161222/RealVisXL_V5.0", subfolder='scheduler',beta_schedule="scaled_linear", steps_offset=1,timestep_spacing="trailing"))
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#sched = EulerAncestralDiscreteScheduler.from_pretrained("SG161222/RealVisXL_V5.0", subfolder='scheduler', steps_offset=1,timestep_spacing="trailing")
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#sched = EulerAncestralDiscreteScheduler.from_pretrained('ford442/RealVisXL_V5.0_BF16', subfolder='scheduler',beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset=1,use_karras_sigmas=True)
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#sched = EulerAncestralDiscreteScheduler.from_pretrained('ford442/RealVisXL_V5.0_BF16', subfolder='scheduler',beta_schedule="scaled_linear")
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#pipeX = StableDiffusionXLPipeline.from_pretrained("SG161222/RealVisXL_V5.0").to(torch.bfloat16)
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#pipeX = StableDiffusionXLPipeline.from_pretrained("ford442/Juggernaut-XI-v11-fp32",use_safetensors=True)
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#'ford442/RealVisXL_V5.0_BF16',
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#'ford442/Juggernaut-XI-v11-fp32',
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# 'SG161222/RealVisXL_V5.0',
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#'John6666/uber-realistic-porn-merge-xl-urpmxl-v3-sdxl',
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'John6666/uber-realistic-porn-merge-xl-urpmxl-v6final-sdxl',
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#torch_dtype=torch.bfloat16,
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add_watermarker=False,
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# custom_pipeline="lpw_stable_diffusion_xl",
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#pipe.vae.do_convert_rgb=True
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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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