Update app.py

app.py

@@ -13,7 +13,7 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 taef1 = AutoencoderTiny.from_pretrained("madebyollin/taef1", torch_dtype=dtype).to(device)
 good_vae = AutoencoderKL.from_pretrained("black-forest-labs/FLUX.1-dev", subfolder="vae", torch_dtype=dtype).to(device)
 pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=dtype, vae=taef1).to(device)
-pipe.load_lora_weights("MegaTronX/MetartLoRA", weight_name="MetartLoRA.safetensors")
+#pipe.load_lora_weights("MegaTronX/MetartLoRA", weight_name="MetartLoRA.safetensors")
 torch.cuda.empty_cache()
 
 MAX_SEED = np.iinfo(np.int32).max