Update app.py

app.py

@@ -175,7 +175,7 @@ def generate(segment, image, prompt, size, guidance_scale, num_inference_steps,
 
                 noise_pred_uncond, noise_pred_text = noise_pred.chunk(2)
                 noise_pred = noise_pred_uncond + guidance_scale * (noise_pred_text - noise_pred_uncond)
-                latents = self.scheduler.step(noise_pred, t, latents, return_dict=False)[0]
+                latents = pipe.scheduler.step(noise_pred, t, latents, return_dict=False)[0]
     intermediate_latents_cpu = latents.detach().cpu()
     if segment==8:
         pipe.vae.to("cuda")