Update app.py

app.py

@@ -6,7 +6,7 @@ import torch
 from diffusers import StableDiffusion3Pipeline
 #from transformers import CLIPTextModelWithProjection, T5EncoderModel
 from transformers import CLIPTokenizer
-CLIPTokenizer
+
 import re
 import paramiko
 import urllib
@@ -65,7 +65,8 @@ pipe = StableDiffusion3Pipeline.from_pretrained(
   #  text_encoder_2=CLIPTextModelWithProjection.from_pretrained("ford442/stable-diffusion-3.5-large-bf16", subfolder='text_encoder_2',token=True),
   #  text_encoder_3=T5EncoderModel.from_pretrained("ford442/stable-diffusion-3.5-large-bf16", subfolder='text_encoder_3',token=True),
     tokenizer=CLIPTokenizer.from_pretrained("ford442/stable-diffusion-3.5-large-bf16", add_prefix_space=True, subfolder="tokenizer", token=True),
-    token=True,
+    tokenizer_2=CLIPTokenizer.from_pretrained("ford442/stable-diffusion-3.5-large-bf16", add_prefix_space=True, subfolder="tokenizer_2", token=True),
+    tokenizer_3=T5TokenizerFast.from_pretrained("ford442/stable-diffusion-3.5-large-bf16", add_prefix_space=True, subfolder="tokenizer_3", token=True),
     torch_dtype=torch.bfloat16,
     #use_safetensors=False,
 )