diff --git a/nodes.py b/nodes.py
index 6314475..eefa861 100644
--- a/nodes.py
+++ b/nodes.py
@@ -71,6 +71,11 @@ class DownloadAndLoadCogVideoModel:
         pipe = CogVideoXPipeline(vae, transformer, scheduler)
 
         if torch_compile:
+            torch._inductor.config.conv_1x1_as_mm = True
+            torch._inductor.config.coordinate_descent_tuning = True
+            torch._inductor.config.epilogue_fusion = False
+            torch._inductor.config.coordinate_descent_check_all_directions = True
+            torch._inductor.config.num_stages = 1
             pipe.transformer.to(memory_format=torch.channels_last)
             pipe.transformer = torch.compile(pipe.transformer, mode="max-autotune", fullgraph=True)
 
@@ -281,6 +286,12 @@ class CogVideoDecode:
             "pipeline": ("COGVIDEOPIPE",),
             "samples": ("LATENT", ),
             "enable_vae_tiling": ("BOOLEAN", {"default": False}),
+            },
+            "optional": {
+            "tile_sample_min_height": ("INT", {"default": 96, "min": 16, "max": 2048, "step": 8}),
+            "tile_sample_min_width": ("INT", {"default": 96, "min": 16, "max": 2048, "step": 8}),
+            "tile_overlap_factor_height": ("FLOAT", {"default": 0.083, "min": 0.0, "max": 1.0, "step": 0.001}),
+            "tile_overlap_factor_width": ("FLOAT", {"default": 0.083, "min": 0.0, "max": 1.0, "step": 0.001}),
             }
         }
 
@@ -289,7 +300,7 @@ class CogVideoDecode:
     FUNCTION = "decode"
     CATEGORY = "CogVideoWrapper"
 
-    def decode(self, pipeline, samples, enable_vae_tiling):
+    def decode(self, pipeline, samples, enable_vae_tiling, tile_sample_min_height, tile_sample_min_width, tile_overlap_factor_height, tile_overlap_factor_width):
         device = mm.get_torch_device()
         offload_device = mm.unet_offload_device()
         latents = samples["samples"]
@@ -297,10 +308,10 @@ class CogVideoDecode:
         vae.to(device)
         if enable_vae_tiling:
             vae.enable_tiling(
-                tile_sample_min_height=96,
-                tile_sample_min_width=96,
-                tile_overlap_factor_height=1 / 12,
-                tile_overlap_factor_width=1 / 12,
+                tile_sample_min_height=tile_sample_min_height,
+                tile_sample_min_width=tile_sample_min_width,
+                tile_overlap_factor_height=tile_overlap_factor_height,
+                tile_overlap_factor_width=tile_overlap_factor_width,
             )
         latents = latents.to(vae.dtype)
         latents = latents.permute(0, 2, 1, 3, 4)  # [batch_size, num_channels, num_frames, height, width]