Fixed torch model import

app.py

@@ -7,7 +7,7 @@ import time
 
 # scheduler = DDPMScheduler(beta_start=0.00085, beta_end=0.012,
 #                                  beta_schedule="scaled_linear", num_train_timesteps=1000)
-pipe_torch_fp32 = StableDiffusionPipeline("svjack/Stable-Diffusion-Pokemon-en")
+pipe_torch_fp32 = StableDiffusionPipeline.from_pretrained("svjack/Stable-Diffusion-Pokemon-en")
 
 pipe_fp32 = OVStableDiffusionPipeline.from_pretrained("OpenVINO/stable-diffusion-pokemons-fp32", compile=False)# scheduler=scheduler)
 pipe_fp32.reshape(batch_size=1, height=512, width=512, num_images_per_prompt=1)