Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -149,7 +149,7 @@ def load_and_prepare_model(model_id):
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#sched = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear",use_karras_sigmas=True, algorithm_type="dpmsolver++")
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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 = DPMSolverMultistepScheduler.from_pretrained('SG161222/RealVisXL_V5.0', subfolder='scheduler', algorithm_type='sde-dpmsolver++')
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pipe.vae = vaeX.to(torch.bfloat16)
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#pipe.unet = unetX
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pipe.scheduler = sched
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pipe.vae.do_resize=False
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@@ -162,8 +162,8 @@ 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.scheduler=EulerAncestralDiscreteScheduler.from_pretrained('ford442/RealVisXL_V5.0_BF16', subfolder='scheduler',beta_schedule="scaled_linear")
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pipe.to(device)
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pipe.to(torch.bfloat16)
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#apply_hidiffusion(pipe)
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@@ -224,11 +224,11 @@ def uploadNote():
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f.write(f"SPACE SETUP: \n")
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f.write(f"Use Model Dtype: no \n")
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f.write(f"Model Scheduler: Euler_a custom before cuda \n")
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f.write(f"Model VAE: juggernaut to bfloat
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f.write(f"Model UNET: default to bfloat
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f.write(f"Model HiDiffusion OFF \n")
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f.write(f"Model do_resize OFF \n")
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f.write(f"Model vae_scale_factor
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upload_to_ftp(filename)
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@spaces.GPU(duration=30)
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#sched = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear",use_karras_sigmas=True, algorithm_type="dpmsolver++")
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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 = DPMSolverMultistepScheduler.from_pretrained('SG161222/RealVisXL_V5.0', subfolder='scheduler', algorithm_type='sde-dpmsolver++')
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#pipe.vae = vaeX.to(torch.bfloat16)
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#pipe.unet = unetX
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pipe.scheduler = sched
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pipe.vae.do_resize=False
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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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#apply_hidiffusion(pipe)
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f.write(f"SPACE SETUP: \n")
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f.write(f"Use Model Dtype: no \n")
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f.write(f"Model Scheduler: Euler_a custom before cuda \n")
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f.write(f"Model VAE: juggernaut to bfloat with cuda then attn_proc \n")
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f.write(f"Model UNET: default to bfloat with cuda then attn_proc \n")
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f.write(f"Model HiDiffusion OFF \n")
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f.write(f"Model do_resize OFF \n")
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f.write(f"Model vae_scale_factor 7 \n")
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upload_to_ftp(filename)
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@spaces.GPU(duration=30)
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