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ford442 commited on
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1 Parent(s): 096a9e5

Update app.py

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  1. app.py +1 -1
app.py CHANGED
@@ -75,7 +75,7 @@ pipe = StableDiffusion3Pipeline.from_pretrained("ford442/stable-diffusion-3.5-me
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  #pipe = torch.compile(pipe)
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  # pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear")
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- refiner = StableDiffusionXLImg2ImgPipeline.from_pretrained("ford442/stable-diffusion-xl-refiner-1.0-bf16", vae=AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16"), use_safetensors=True, requires_aesthetics_score=True).to(device=torch.device("cuda:0").to(torch.bfloat16)
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  #refiner = StableDiffusionXLImg2ImgPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", vae=vae, torch_dtype=torch.float32, requires_aesthetics_score=True, device_map='balanced')
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  refiner.scheduler=EulerAncestralDiscreteScheduler.from_config(refiner.scheduler.config, beta_schedule="scaled_linear")
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  #refiner.enable_model_cpu_offload()
 
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  #pipe = torch.compile(pipe)
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  # pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear")
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+ refiner = StableDiffusionXLImg2ImgPipeline.from_pretrained("ford442/stable-diffusion-xl-refiner-1.0-bf16", vae=AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16"), use_safetensors=True, requires_aesthetics_score=True).to(device).to(torch.bfloat16)
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  #refiner = StableDiffusionXLImg2ImgPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", vae=vae, torch_dtype=torch.float32, requires_aesthetics_score=True, device_map='balanced')
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  refiner.scheduler=EulerAncestralDiscreteScheduler.from_config(refiner.scheduler.config, beta_schedule="scaled_linear")
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  #refiner.enable_model_cpu_offload()