Update app.py

app.py

@@ -43,9 +43,6 @@ transformer_path = "Kunbyte/ROSE"
 config_path = "./configs/wan2.1/wan_civitai.yaml"
 config = OmegaConf.load(config_path)
 
-tokenizer_subpath = config['text_encoder_kwargs'].get('tokenizer_subpath', 'tokenizer')
-tokenizer = AutoTokenizer.from_pretrained(pretrained_model_path, tokenizer_subpath)
-
 text_encoder_subpath = config['text_encoder_kwargs'].get('text_encoder_subpath', 'text_encoder')
 text_encoder = WanT5EncoderModel.from_pretrained(
     pretrained_model_path,
@@ -75,6 +72,8 @@ noise_scheduler = FlowMatchEulerDiscreteScheduler(
     **filter_kwargs(FlowMatchEulerDiscreteScheduler, OmegaConf.to_container(config['scheduler_kwargs']))
 )
 
+tokenizer_subpath = config['text_encoder_kwargs'].get('tokenizer_subpath', 'tokenizer')
+tokenizer = AutoTokenizer.from_pretrained(pretrained_model_path, tokenizer_subpath)
 # tokenizer = AutoTokenizer.from_pretrained(
 #     os.path.join(pretrained_model_path, config['text_encoder_kwargs'].get('tokenizer_subpath', 'tokenizer')),
 # )