Update app.py

app.py

@@ -21,7 +21,8 @@ with open('loras.json', 'r') as f:
 # Initialize the base model
 dtype = torch.bfloat16
 device = "cuda" if torch.cuda.is_available() else "cpu"
-base_model = "black-forest-labs/FLUX.1-dev"
+#base_model = "black-forest-labs/FLUX.1-dev"
+base_model = "camenduru/FLUX.1-dev-diffusers"
 
 taef1 = AutoencoderTiny.from_pretrained("madebyollin/taef1", torch_dtype=dtype).to(device)
 good_vae = AutoencoderKL.from_pretrained(base_model, subfolder="vae", torch_dtype=dtype).to(device)