Update app.py

app.py

@@ -32,7 +32,7 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 base_model = "John6666/hyper-flux1-dev-fp8-flux"
 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 = FluxTransformer2DModel.from_pretrained(base_model, torch_dtype=dtype, vae=good_vae).to(device)
+pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=dtype, vae=good_vae).to(device)
 
 model_id = ("zer0int/LongCLIP-GmP-ViT-L-14")
 config = CLIPConfig.from_pretrained(model_id)