Update src/pipeline.py

src/pipeline.py

@@ -626,19 +626,17 @@ def empty_cache():
 def load_pipeline() -> Pipeline:    
     empty_cache()
 
-    from diffusers import FluxPipeline, FluxTransformer2DModel, GGUFQuantizationConfig
-    from diffusers.loaders.single_file_utils import create_diffusers_t5_model_from_checkpoint
-    from diffusers.loaders.single_file_model import FromOriginalModelMixin
+    
 
     
     dtype, device = torch.bfloat16, "cuda"
 
     import pdb; pdb.set_trace()
-
     t5_path = os.path.join(HF_HUB_CACHE, "models--manbeast3b--t5-v1_1-xxl-encoder-q8/snapshots/59c6c9cb99dcea42067f32caac3ea0836ef4c548/t5-v1_1-xxl-encoder-Q8_0.gguf")
     # config_path = os.path.join(HF_HUB_CACHE, "models--black-forest--labs/FLUX.1-schnell/snapshots/741f7c3ce8b383c54771c7003378a50191e9efe9/text_encoder_2/config.json")
     config_path = os.path.join(HF_HUB_CACHE, "models--black-forest-labs--FLUX.1-schnell/snapshots/741f7c3ce8b383c54771c7003378a50191e9efe9/")
     ckpt_t5 = load_single_file_checkpoint(t5_path,local_files_only=True)
+    print("the file is loaded")
     
     text_encoder_2 = T5EncoderModel.from_pretrained(
         "silentdriver/aadb864af9", revision = "060dabc7fa271c26dfa3fd43c16e7c5bf3ac7892", torch_dtype=torch.bfloat16