Update app.py

app.py

@@ -24,8 +24,6 @@ with open('loras.json', 'r') as f:
 dtype = torch.bfloat16
 device = "cuda" if torch.cuda.is_available() else "cpu"
 base_model = "John6666/real-flux-10b-schnell-fp8-flux"
-pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
-
 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(base_model, torch_dtype=dtype, vae=taef1).to(device)