Update app.py

app.py

@@ -2,15 +2,15 @@ import gradio as gr
 import numpy as np
 import random
 import spaces
-from diffusers import DiffusionPipeline
+import torch
+from diffusers import FluxPipeline
 from huggingface_hub import login
 
 login(token="HF_Tok" )
 
 
-# import spaces #[uncomment to use ZeroGPU]
-from diffusers import DiffusionPipeline
-import torch
+
+
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
 model_repo_id = "black-forest-labs/FLUX.1-dev"  # Replace to the model you would like to use
@@ -20,7 +20,7 @@ if torch.cuda.is_available():
 else:
     torch_dtype = torch.float32
 
-pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
+pipe = FluxPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
 pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max