diff --git a/nodes.py b/nodes.py
index 8143671..bb0ddcc 100644
--- a/nodes.py
+++ b/nodes.py
@@ -18,6 +18,10 @@ import torch
 import comfy.model_management as mm
 
 from pathlib import Path
+
+# Use polygraphy TensorRTX backend
+os.environ["POLYGRAPHY_USE_TENSORRT_RTX"] = "1"
+
 from polygraphy import cuda
 from .vfi_utilities import preprocess_frames, postprocess_frames, generate_frames_rife
 from .trt_utilities import Engine
diff --git a/trt_utilities.py b/trt_utilities.py
index 143d8e7..eb409e2 100644
--- a/trt_utilities.py
+++ b/trt_utilities.py
@@ -297,11 +297,10 @@ class Engine:
         if not enable_all_tactics:
             config_kwargs["tactic_sources"] = []  
 
-        # Load ONNX file then convert the model to fp16
-        # Probably might cause issues if onnx file given is quantized or whatever
+        # Load ONNX file 
         onnx_bytes       = onnx.load(onnx_path)
         onnx_precision   = onnx_bytes.graph.input[0].type.tensor_type.elem_type        
-        onnx_simp, check = simplify(float16.convert_float_to_float16(onnx_bytes) if onnx_precision == onnx.TensorProto.FLOAT else onnx_bytes)
+        onnx_simp, check = simplify(onnx_bytes)
         
         if not check:
             error(f"Simplified ONNX model: {onnx_path} could not be validated")
diff --git a/vfi_utilities.py b/vfi_utilities.py
index ebc094e..69ef2f0 100644
--- a/vfi_utilities.py
+++ b/vfi_utilities.py
@@ -11,6 +11,7 @@ import os
 import torch
 import typing
 
+import logging
 import numpy as np
 
 from comfy.model_management import soft_empty_cache, get_torch_device
@@ -73,6 +74,8 @@ def generate_frames_rife(
     cache_counter = 0
     
     pbar = ProgressBar(len(frames))
+    
+    logging.info(f"Interpolating frames")
 
     for frame_itr in range(len(frames) - 1): 
 
@@ -96,13 +99,14 @@ def generate_frames_rife(
             cache_counter += 1
             if cache_counter >= clear_cache_after_n_frames:
                 soft_empty_cache()
+                logging.info(f"Clearing cache...")
                 cache_counter = 0
 
             pbar.update(1)
 
     # Append final frame
     output_frames[out_len] = frames[-1:]
-    logger(f"done! - {(len(frames) -1) * (multiplier-1)} new frames generated at resolution: {output_frames[0].shape}")
+    logging.info(f"done! - {(len(frames) -1) * (multiplier-1)} new frames generated at resolution: {output_frames[0].shape}")
     out_len += 1
 
     # clear cache for courtesy