Update app.py

app.py

@@ -5,10 +5,14 @@ import spaces
 import torch
 from diffusers import DiffusionPipeline
 
+from pruna import PrunaModel
+
 dtype = torch.bfloat16
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
-pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", torch_dtype=dtype).to(device)
+pipe = PrunaModel.from_hub(
+    "PrunaAI/FLUX.1-schnell-smashed"
+)
 
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 2048