Update app.py

Fixed Bells and Whistles by adding Pulleys and Levers

app.py

@@ -12,12 +12,12 @@ upscaler = upscaler.to(device)
 pipe = pipe.to(device)
 
 def genie (Prompt, negative_prompt, height, width, scale, steps, seed, upscale, upscale_prompt, upscale_neg, upscale_scale, upscale_steps):
-    generator = torch.Generator(device=device).manual_seed(Seed)
+    generator = torch.Generator(device=device).manual_seed(seed)
     if upscale == "Yes":
-        low_res_latents = pipe(Prompt, negative_prompt=negative_prompt, num_inference_steps=steps, guidance_scale=scale, generator=generator, output_type="latent").images
-        image = upscaler(prompt='', image=low_res_latents, num_inference_steps=upscale_iter, guidance_scale=0, generator=generator).images[0]
+        low_res_latents = pipe(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale, generator=generator, output_type="latent").images
+        image = upscaler(prompt=upscale_prompt, negative_prompt=upscale_neg, image=low_res_latents, num_inference_steps=upscale_steps, guidance_scale=upscale_scale, generator=generator).images[0]
     else:
-        image = pipe(Prompt, negative_prompt=negative_prompt, num_inference_steps=steps, guidance_scale=scale, generator=generator).images[0]
+        image = pipe(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale, generator=generator).images[0]
     return image
     
 gr.Interface(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generate. 77 Token Limit.'),