Update app.py

app.py

@@ -3,7 +3,7 @@ import torch
 import numpy as np
 import modin.pandas as pd
 from PIL import Image
-from diffusers import StableCascadeCombinedPipeline, StableDiffusionLatentUpscalePipeline
+from diffusers import StableCascadeCombinedPipeline
 from huggingface_hub import hf_hub_download
 
 device = 'cuda' #if torch.cuda.is_available() else 'cpu'
@@ -27,8 +27,7 @@ gr.Interface(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generat
                                gr.Slider(512, 2048, 768, step=128, label='Width'),
                                gr.Slider(1, maximum=15, value=5, step=.25, label='Guidance Scale'), 
                                gr.Slider(5, maximum=100, value=50, step=5, label='Number of Iterations'), 
-                               gr.Slider(minimum=0, step=1, maximum=9999999999999999, randomize=True, label='Seed: 0 is Random'),
-                               gr.Radio(["Yes", "No"], label = 'SD X2 Latent Upscaler?', value="No")],
+                               gr.Slider(minimum=0, step=1, maximum=9999999999999999, randomize=True, label='Seed: 0 is Random')]
              outputs=gr.Image(label='Generated Image'), 
              title="Manju Dream Booth V1.9 with SDXL 1.0 Refiner and SD X2 Latent Upscaler - GPU", 
              description="<br><br><b/>Warning: This Demo is capable of producing NSFW content.",