Update app.py

app.py

@@ -7,6 +7,7 @@ from diffusers import DiffusionPipeline
 import torch
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
+text_encoder_3 = "silveroxides/t5xxl_flan_enc"
 model_repo_id = "stabilityai/stable-diffusion-3.5-large-turbo"
 
 if torch.cuda.is_available():
@@ -14,7 +15,7 @@ if torch.cuda.is_available():
 else:
     torch_dtype = torch.float32
 
-pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
+pipe = DiffusionPipeline.from_pretrained(model_repo_id, text_encoder_3=text_encoder_3, torch_dtype=torch_dtype)
 pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max