Update app.py

app.py

@@ -83,8 +83,8 @@ os.putenv("HF_HUB_ENABLE_HF_TRANSFER","1")
 
 device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
 
-text_encoder = CLIPTextModel.from_pretrained('ford442/RealVisXL_V5.0_BF16', subfolder='text_encoder', token=True)#.to(device=device, dtype=torch.bfloat16)
-text_encoder_2 = CLIPTextModelWithProjection.from_pretrained('ford442/RealVisXL_V5.0_BF16', subfolder='text_encoder_2',token=True)#.to(device=device, dtype=torch.bfloat16)
+text_encoder = CLIPTextModel.from_pretrained('ford442/RealVisXL_V5.0_BF16', low_cpu_mem_usage=False, subfolder='text_encoder', token=True)#.to(device=device, dtype=torch.bfloat16)
+text_encoder_2 = CLIPTextModelWithProjection.from_pretrained('ford442/RealVisXL_V5.0_BF16', low_cpu_mem_usage=False, subfolder='text_encoder_2',token=True)#.to(device=device, dtype=torch.bfloat16)
 
 def load_and_prepare_model():
     tokenizer_1 = CLIPTokenizer.from_pretrained('ford442/RealVisXL_V5.0_BF16', low_cpu_mem_usage=False, subfolder='tokenizer', token=True)