Update app.py

app.py

@@ -274,18 +274,20 @@ with gr.Blocks() as demo:
 # Initialize both pipelines
 if __name__ == "__main__":
     from diffusers import FluxTransformer2DModel, FluxPipeline, BitsAndBytesConfig
+    from transformers import BitsAndBytesConfig as BitsAndBytesConfigTF
     # Initialize Flux pipeline
     device = "cuda" if torch.cuda.is_available() else "cpu"
     huggingface_token = os.getenv("HUGGINGFACE_TOKEN")
     
-    quantization_config = BitsAndBytesConfig(load_in_4bit=True)
-    hf_token = ""
     dtype = torch.bfloat16
     file_url = "https://huggingface.co/gokaygokay/flux-game/blob/main/gokaygokay_00001_.safetensors"
     single_file_base_model = "camenduru/FLUX.1-dev-diffusers"
-    transformer = FluxTransformer2DModel.from_single_file(file_url, subfolder="transformer", torch_dtype=dtype, config=single_file_base_model, quantization_config=quantization_config)
-    flux_pipeline = FluxPipeline.from_pretrained(single_file_base_model, transformer=transformer, torch_dtype=dtype, token=huggingface_token, quantization_config=quantization_config)
-
+    quantization_config_tf = BitsAndBytesConfigTF(load_in_4bit=True)
+    text_encoder_2 = T5EncoderModel.from_pretrained(single_file_base_model, subfolder="text_encoder_2", torch_dtype=dtype, config=single_file_base_model, quantization_config=quantization_config_tf, token=huggingface_token)
+    quantization_config = BitsAndBytesConfig(load_in_4bit=True)
+    transformer = FluxTransformer2DModel.from_single_file(file_url, subfolder="transformer", torch_dtype=dtype, config=single_file_base_model, quantization_config=quantization_config, token=huggingface_token)
+    flux_pipeline = FluxPipeline.from_pretrained(single_file_base_model, transformer=transformer, text_encoder_2=text_encoder_2, torch_dtype=dtype, quantization_config=quantization_config, token=huggingface_token)
+    
     # Initialize Trellis pipeline
     trellis_pipeline = TrellisImageTo3DPipeline.from_pretrained("JeffreyXiang/TRELLIS-image-large")
     trellis_pipeline.cuda()