Update app.py

app.py

@@ -125,7 +125,7 @@ et = time.time()
 elapsed_time = et - st
 print('Loading ControlNet took: ', elapsed_time, 'seconds')
 st = time.time()
-vae = AutoencoderKL.from_pretrained("nubby/blessed-sdxl-vae-fp16-fix", torch_dtype=torch.float16)
+vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
 et = time.time()
 elapsed_time = et - st
 print('Loading VAE took: ', elapsed_time, 'seconds')
@@ -137,7 +137,7 @@ st = time.time()
 #                                                                 controlnet=[identitynet, zoedepthnet],
 #                                                                 torch_dtype=torch.float16)
 
-pipe = StableDiffusionXLInstantIDImg2ImgPipeline.from_pretrained("SG161222/RealVisXL_V4.0", 
+pipe = StableDiffusionXLInstantIDImg2ImgPipeline.from_pretrained("SG161222/RealVisXL_V5.0", 
                                                                 vae=vae,
                                                                 controlnet=[identitynet, zoedepthnet],
                                                                 torch_dtype=torch.float16)
@@ -261,7 +261,6 @@ def run_lora(face_image, prompt, negative, lora_scale, selected_state, face_stre
         face_emb = face_info['embedding']
         face_kps = draw_kps(face_image, face_info['kps'])
     except:
-        face_info = None
         face_detected = False
         face_emb = None
         face_kps = face_image
@@ -461,7 +460,7 @@ def get_civitai_safetensors(link):
         if(image["nsfwLevel"] == 1):
           image_url = image["url"]
           break
-      break 
+      break
   if(not model_link_download):
     gr.Warning("We couldn't find a SDXL LoRA on the model you've sent")
     raise Exception("We couldn't find a SDXL LoRA on the model you've sent")