Fix

lightx2v/models/networks/wan/distill_model.py

@@ -36,7 +36,6 @@ class WanDistillModel(WanModel):
         if os.path.exists(ckpt_path):
             logger.info(f"Loading weights from {ckpt_path}")
             weight_dict = torch.load(ckpt_path, map_location="cpu", weights_only=True)
-            print(weight_dict.keys())
             weight_dict = {
                 key: (weight_dict[key].to(torch.bfloat16) if use_bf16 or all(s not in key for s in skip_bf16) else weight_dict[key]).pin_memory().to(self.device) for key in weight_dict.keys()
             }

lightx2v/models/runners/wan/wan_runner.py

@@ -69,7 +69,6 @@ class WanRunner(DefaultRunner):
                 clip_quantized_ckpt = None
                 clip_quant_scheme = None
 
-            print(clip_quant_scheme)
             image_encoder = CLIPModel(
                 dtype=torch.float16,
                 device=self.init_device,
@@ -107,7 +106,7 @@ class WanRunner(DefaultRunner):
         else:
             t5_quant_scheme = None
             t5_quantized_ckpt = None
-        print(t5_quant_scheme)
+
         text_encoder = T5EncoderModel(
             text_len=self.config["text_len"],
             dtype=torch.bfloat16,