Update app.py

app.py

@@ -50,7 +50,7 @@ with open('loras.json', 'r') as f:
 #pipe = diffusers.ZImagePipeline.from_pretrained("dimitribarbot/Z-Image-Turbo-BF16", torch_dtype=torch.bfloat16)
 #pipe = diffusers.ZImagePipeline.from_pretrained("AlekseyCalvin/Z_Image_Deturbo_Diffusers", torch_dtype=torch.bfloat16)
 qwen_path = 'nightknocker/recurrent-qwen3-z-image-turbo'
-text_encoder = RecurrentDecoderModel.from_pretrained(qwen_path).to(torch.bfloat16)
+text_encoder = Qwen3ForCausalLM.from_pretrained(qwen_path).to(torch.bfloat16)
 pipeline = ZImagePipeline.from_pretrained(
     'AlekseyCalvin/Z-Image-Deturbo-Returbo-Base_Diffusers',
     text_encoder=text_encoder,