ford442 commited on
Commit
847f9a4
·
1 Parent(s): d8757c4

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +3 -2
app.py CHANGED
@@ -107,7 +107,7 @@ def load_and_prepare_model(model_id):
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  model_dtypes = {"ford442/RealVisXL_V5.0_BF16": torch.bfloat16,}
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  dtype = model_dtypes.get(model_id, torch.bfloat16) # Default to float32 if not found
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  #vae = AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16", torch_dtype=torch.bfloat16,safety_checker=None).to('cuda')
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- vae = AutoencoderKL.from_pretrained("stabilityai/sdxl-vae",use_safetensors=True, torch_dtype=torch.float32,safety_checker=None).to(torch.bfloat16)
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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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  # vae = AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16", safety_checker=None).to('cuda')
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  pipeX = StableDiffusionXLPipeline.from_pretrained("SG161222/RealVisXL_V5.0",use_safetensors=True, torch_dtype=torch.float32)
@@ -119,9 +119,10 @@ 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",repo_type='model',safety_checker=None),
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  # vae=AutoencoderKL.from_pretrained("stabilityai/sdxl-vae",repo_type='model',safety_checker=None, torch_dtype=torch.float32),
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  # vae=AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16",repo_type='model',safety_checker=None),
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- vae=vae,
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  #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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  )
 
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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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  model_dtypes = {"ford442/RealVisXL_V5.0_BF16": torch.bfloat16,}
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  dtype = model_dtypes.get(model_id, torch.bfloat16) # Default to float32 if not found
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  #vae = AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16", torch_dtype=torch.bfloat16,safety_checker=None).to('cuda')
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+ vae = AutoencoderKL.from_pretrained("stabilityai/sdxl-vae",use_safetensors=True, torch_dtype=torch.float32,safety_checker=None)
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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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  # vae = AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16", safety_checker=None).to('cuda')
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  pipeX = StableDiffusionXLPipeline.from_pretrained("SG161222/RealVisXL_V5.0",use_safetensors=True, torch_dtype=torch.float32)
 
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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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  # vae=AutoencoderKL.from_pretrained("stabilityai/sdxl-vae",repo_type='model',safety_checker=None, torch_dtype=torch.float32),
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  # vae=AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16",repo_type='model',safety_checker=None),
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+ # vae=vae,
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  #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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  )
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+ pipe.vae=vae
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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)