debug

app.py

@@ -34,7 +34,7 @@ unet = UNet2DConditionModel.from_pretrained(f"{ckpt_dir}/unet", revision=None).h
 controlnet_depth = ControlNetModel.from_pretrained(f"{ckpt_dir_depth}", revision=None).half().to(device)
 controlnet_canny = ControlNetModel.from_pretrained(f"{ckpt_dir_canny}", revision=None).half().to(device)
 
-image_encoder = CLIPVisionModelWithProjection.from_pretrained(f'{ckpt_dir_ipa}/weights/Kolors-IP-Adapter-Plus/image_encoder',  ignore_mismatched_sizes=True).to(dtype=torch.float16, device=device)
+image_encoder = CLIPVisionModelWithProjection.from_pretrained(f'{ckpt_dir_ipa}/image_encoder',  ignore_mismatched_sizes=True).to(dtype=torch.float16, device=device)
 ip_img_size = 336
 clip_image_processor = CLIPImageProcessor(size=ip_img_size, crop_size=ip_img_size )
 
@@ -63,7 +63,7 @@ def load_ipa(pipe):
     if hasattr(pipe.unet, 'encoder_hid_proj'):
         pipe.unet.text_encoder_hid_proj = pipe.unet.encoder_hid_proj
     
-    pipe.load_ip_adapter( f'{ckpt_dir_ipa}/weights/Kolors-IP-Adapter-Plus' , subfolder="", weight_name=["ip_adapter_plus_general.bin"])
+    pipe.load_ip_adapter(f'{ckpt_dir_ipa}' , subfolder="", weight_name=["ip_adapter_plus_general.bin"])
     return pipe
 
 @spaces.GPU