Update app.py

app.py

@@ -8,8 +8,8 @@ from diffusers import DiffusionPipeline, StableDiffusionLatentUpscalePipeline
 device = "cuda" if torch.cuda.is_available() else "cpu"
 #pipe = DiffusionPipeline.from_pretrained("dreamlike-art/dreamlike-photoreal-2.0", torch_dtype=torch.float16, safety_checker=None, use_safetensors=False)
 
-#pipe = DiffusionPipeline.from_pretrained("XpucT/Deliberate", torch_dtype=torch.float16, safety_checker=None, use_safetensors=False)
-pipe = DiffusionPipeline.from_pretrained("shal44/realisticv13.3", torch_dtype=torch.float16, safety_checker=None, use_safetensors=False)
+pipe = DiffusionPipeline.from_pretrained("XpucT/Deliberate", torch_dtype=torch.float16, safety_checker=None, use_safetensors=False)
+#pipe = DiffusionPipeline.from_pretrained("shal44/realisticv13.3", torch_dtype=torch.float16, safety_checker=None, use_safetensors=False)
 
 upscaler = StableDiffusionLatentUpscalePipeline.from_pretrained("stabilityai/sd-x2-latent-upscaler", torch_dtype=torch.float16)
 upscaler = upscaler.to(device)