Update app.py

app.py

@@ -1,7 +1,7 @@
 import gradio as gr
 import torch
 import numpy as np
-#import modin.pandas as pd
+import modin.pandas as pd
 from PIL import Image
 from huggingface_hub import hf_hub_download
 from diffusers import StableDiffusion3Pipeline
@@ -10,7 +10,7 @@ device = 'cuda' #if torch.cuda.is_available() else 'cpu'
 torch.cuda.max_memory_allocated(device=device)
 torch.cuda.empty_cache()
 SD3 = StableDiffusion3Pipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", torch_dtype=torch.float16).to(device)
-#SD3.enable_xformers_memory_efficient_attention()
+
                     
 def genie (Prompt, negative_prompt, height, width, scale, steps, seed):
     generator = np.random.seed(0) if seed == 0 else torch.manual_seed(seed)