code update

app.py

@@ -38,6 +38,13 @@ vae = vae.to(torch_device)
 text_encoder = text_encoder.to(torch_device)
 unet = unet.to(torch_device)
 
+seed_values = [8,16,50,80,128]
+height = 512                        # default height of Stable Diffusion
+width = 512                         # default width of Stable Diffusion
+num_inference_steps = 1           # Number of denoising steps
+guidance_scale = 7.5                # Scale for classifier-free guidance
+num_styles = len(style_files)
+
 # Prep Scheduler
 def set_timesteps(scheduler, num_inference_steps):
     scheduler.set_timesteps(num_inference_steps)