Update app.py

app.py

@@ -22,8 +22,8 @@ taef1 = AutoencoderTiny.from_pretrained("madebyollin/taef1", torch_dtype=dtype).
 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)
 # srpo_128_base_oficial_model_fp16.safetensors
-pipe.load_lora_weights('Alissonerdx/flux.1-dev-SRPO-LoRas', weight_name='srpo_16_base_oficial_model_fp16.safetensors')
-pipe.fuse_lora()
+# pipe.load_lora_weights('Alissonerdx/flux.1-dev-SRPO-LoRas', weight_name='srpo_16_base_oficial_model_fp16.safetensors')
+# pipe.fuse_lora()
 torch.cuda.empty_cache()
 
 MAX_SEED = np.iinfo(np.int32).max