diff --git a/nodes.py b/nodes.py
index 2458644..eee1abc 100644
--- a/nodes.py
+++ b/nodes.py
@@ -281,7 +281,7 @@ class HyVideoModelLoader:
                 "model": (folder_paths.get_filename_list("diffusion_models"), {"tooltip": "These models are loaded from the 'ComfyUI/models/diffusion_models' -folder",}),
 
             "base_precision": (["fp32", "bf16"], {"default": "bf16"}),
-            "quantization": (['disabled', 'fp8_e4m3fn', 'fp8_e4m3fn_fast', 'fp8_scaled', 'torchao_fp8dq', "torchao_fp8dqrow", "torchao_int8dq", "torchao_fp6", "torchao_int4", "torchao_int8"], {"default": 'disabled', "tooltip": "optional quantization method"}),
+            "quantization": (['disabled', 'fp8_e4m3fn', 'fp8_e4m3fn_fast', 'fp8_e5m2', 'fp8_scaled', 'torchao_fp8dq', "torchao_fp8dqrow", "torchao_int8dq", "torchao_fp6", "torchao_int4", "torchao_int8"], {"default": 'disabled', "tooltip": "optional quantization method"}),
             "load_device": (["main_device", "offload_device"], {"default": "main_device"}),
             },
             "optional": {
@@ -381,6 +381,8 @@ class HyVideoModelLoader:
             log.info("Using accelerate to load and assign model weights to device...")
             if quantization == "fp8_e4m3fn" or quantization == "fp8_e4m3fn_fast" or quantization == "fp8_scaled":
                 dtype = torch.float8_e4m3fn
+            elif quantization == "fp8_e5m2":
+                dtype = torch.float8_e5m2
             else:
                 dtype = base_dtype
             params_to_keep = {"norm", "bias", "time_in", "vector_in", "guidance_in", "txt_in", "img_in"}