Update app.py

app.py

@@ -38,7 +38,7 @@ with open('loras.json', 'r') as f:
     
 # Initialize the base model
 #base_model = "stabilityai/stable-diffusion-3.5-large"
-pipe = AutoPipelineForText2Image.from_pretrained("stabilityai/stable-diffusion-3.5-large-turbo", torch_dtype=torch.bfloat16)
+pipe = AutoPipelineForText2Image.from_pretrained("ariG23498/sd-3.5-merged", torch_dtype=torch.bfloat16)
 
 #clipmodel = 'norm'
 #if clipmodel == "long":