Update app.py

app.py

@@ -9,6 +9,7 @@ import torch
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
 text_encoder_repo = "silveroxides/CLIP_L_Fur"
+text_encoder_2_repo = "silveroxides/SeaArtFurryCLIP_G"
 text_encoder_3_repo = "silveroxides/t5xxl_flan_enc"
 model_repo_id = "stabilityai/stable-diffusion-3.5-large-turbo"
 
@@ -17,8 +18,9 @@ if torch.cuda.is_available():
 else:
  torch_dtype = torch.float32
 text_encoder = CLIPTextModelWithProjection.from_pretrained(text_encoder_repo, torch_dtype=torch_dtype)
+text_encoder_2 = CLIPTextModelWithProjection.from_pretrained(text_encoder_2_repo, torch_dtype=torch_dtype)
 text_encoder_3 = T5EncoderModel.from_pretrained(text_encoder_3_repo, torch_dtype=torch_dtype)
-pipe = DiffusionPipeline.from_pretrained(model_repo_id, text_encoder=text_encoder, text_encoder_3=text_encoder_3, torch_dtype=torch_dtype)
+pipe = DiffusionPipeline.from_pretrained(model_repo_id, text_encoder=text_encoder, text_encoder_2=text_encoder_2, text_encoder_3=text_encoder_3, torch_dtype=torch_dtype)
 pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max