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Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
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@@ -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)
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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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@@ -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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#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)
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