diff --git a/modules/model_flux.py b/modules/model_flux.py
index e3adf3981..b89714d91 100644
--- a/modules/model_flux.py
+++ b/modules/model_flux.py
@@ -213,7 +213,6 @@ def load_transformer(file_path): # triggered by opts.sd_unet change
         if _transformer is not None:
             transformer = _transformer
     elif quant == 'fp8' or quant == 'fp4' or quant == 'nf4' or 'Model' in shared.opts.bnb_quantization:
-        print('HERE0')
         _transformer, _text_encoder_2 = load_flux_bnb(file_path, diffusers_load_config)
         if _transformer is not None:
             transformer = _transformer
@@ -223,7 +222,6 @@ def load_transformer(file_path): # triggered by opts.sd_unet change
         if _transformer is not None:
             transformer = _transformer
     else:
-        print('HERE1')
         quant_args = {}
         quant_args = model_quant.create_bnb_config(quant_args)
         if quant_args:
@@ -232,8 +230,6 @@ def load_transformer(file_path): # triggered by opts.sd_unet change
             quant_args = model_quant.create_ao_config(quant_args)
             if quant_args:
                 model_quant.load_torchao(f'Load model: type=Sana quant={quant_args}')
-        print('HERE2', diffusers_load_config)
-        print('HERE3', quant_args)
         transformer = diffusers.FluxTransformer2DModel.from_single_file(file_path, **diffusers_load_config, **quant_args)
     if transformer is None:
         shared.log.error('Failed to load UNet model')