update p2p model path

vid2vid_zero/p2p/null_text_w_ptp.py

@@ -32,7 +32,7 @@ MAX_NUM_WORDS = 77
 device = torch.device('cuda')
 from transformers import CLIPTextModel, CLIPTokenizer
 
-pretrained_model_path = "checkpoints/stable-diffusion-v1-4/"
+pretrained_model_path = "checkpoints/CompVis/stable-diffusion-v1-4/"
 
 ldm_stable = None
 tokenizer = CLIPTokenizer.from_pretrained(pretrained_model_path, subfolder="tokenizer")

vid2vid_zero/p2p/p2p_stable.py

@@ -21,7 +21,7 @@ from . import ptp_utils
 from . import seq_aligner
 from transformers import CLIPTextModel, CLIPTokenizer
 
-pretrained_model_path = "checkpoints/stable-diffusion-v1-4/"
+pretrained_model_path = "checkpoints/CompVis/stable-diffusion-v1-4/"
 ldm_stable = None
 tokenizer = CLIPTokenizer.from_pretrained(pretrained_model_path, subfolder="tokenizer")