Update app.py

app.py

@@ -1,5 +1,5 @@
 import torch
-from diffusers import pipeline
+from diffusers import DiffusionPipeline
 import gradio as gr
 import os
 import spaces
@@ -10,7 +10,7 @@ lora_list = os.environ.get("LORAS") # Not in use
 models = {}
 for model_name in model_list:
     try:
-        models[model_name] = pipeline("text-to-image", model=model_name, torch_dtype=torch.float16).to("cuda")
+        models[model_name] = DiffusionPipeline.from_pretrained(model_name).to("cuda")
     except Exception as e:
         print(f"Error loading model {model_name}: {e}")