Update app.py

app.py

@@ -8,11 +8,12 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 
 if torch.cuda.is_available():
     torch.cuda.max_memory_allocated(device=device)
-    pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
+    pipe = DiffusionPipeline.from_pretrained("Yntec/DreamPhotoGASM", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
+    pipeline.load_lora_weights("ovieyra21/autotrain-begg7-ozit5")
     pipe.enable_xformers_memory_efficient_attention()
     pipe = pipe.to(device)
 else: 
-    pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", use_safetensors=True)
+    pipe = DiffusionPipeline.from_pretrained("Yntec/DreamPhotoGASM", use_safetensors=True)
     pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max