Update app.py

app.py

@@ -42,8 +42,8 @@ dtype = torch.bfloat16
 device = "cuda" if torch.cuda.is_available() else "cpu"
 taef1 = AutoencoderTiny.from_pretrained("madebyollin/taef1", torch_dtype=dtype).to(device)
 # Merge of (black-forest-labs/FLUX.1-dev + https://huggingface.co/black-forest-labs/FLUX.1-Krea-dev)
-good_vae = AutoencoderKL.from_pretrained("prithivMLmods/Flux.1-Krea-Merged-Schnell", subfolder="vae", torch_dtype=dtype).to(device)
-pipe_krea = DiffusionPipeline.from_pretrained("prithivMLmods/Flux.1-Krea-Merged-Schnell", torch_dtype=dtype, vae=taef1).to(device)
+good_vae = AutoencoderKL.from_pretrained("prithivMLmods/Flux.1-Krea-Merged-Dev", subfolder="vae", torch_dtype=dtype).to(device)
+pipe_krea = DiffusionPipeline.from_pretrained("prithivMLmods/Flux.1-Krea-Merged-Dev", torch_dtype=dtype, vae=taef1).to(device)
 
 # Define the flux_pipe_call_that_returns_an_iterable_of_images for flux.1-krea
 @torch.inference_mode()