Update app.py

app.py

@@ -7,10 +7,10 @@ from diffusers import DiffusionPipeline, StableDiffusionLatentUpscalePipeline
 
 device = 'cuda' if torch.cuda.is_available() else 'cpu'
 
-pipe = DiffusionPipeline.from_pretrained("circulus/canvers-real-v3.8.1", torch_dtype=torch.float16, safety_checker=None) if device = "cuda" else: pipe = DiffusionPipeline.from_pretrained("circulus/canvers-real-v3.8.1")
+pipe = DiffusionPipeline.from_pretrained("circulus/canvers-real-v3.8.1", torch_dtype=torch.float16, safety_checker=None) if device = 'cuda' else DiffusionPipeline.from_pretrained("circulus/canvers-real-v3.8.1")
 pipe = pipe.to(device)
 pipe.enable_xformers_memory_efficient_attention()
-refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", use_safetensors=True, torch_dtype=torch.float16, variant="fp16") if device = ("cuda") else: refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0")
+refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", use_safetensors=True, torch_dtype=torch.float16, variant="fp16") if torch.cuda.is_available() else DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0")
 refiner.enable_xformers_memory_efficient_attention()
 refiner = refiner.to(device)