diff --git a/example_workflows/Basic Example.json b/example_workflows/Basic Example.json
index c0456c9..1d4d045 100644
--- a/example_workflows/Basic Example.json	
+++ b/example_workflows/Basic Example.json	
@@ -1 +1 @@
-{"id":"6eca6770-bff0-4e3e-bef1-037add9aaf60","revision":0,"last_node_id":108,"last_link_id":216,"nodes":[{"id":87,"type":"Sage_SetText","pos":[-97.50100708007812,1089.2896728515625],"size":[400,200],"flags":{},"order":11,"mode":0,"inputs":[{"localized_name":"prefix","name":"prefix","shape":7,"type":"STRING","link":159},{"localized_name":"suffix","name":"suffix","shape":7,"type":"STRING","link":212},{"localized_name":"str","name":"str","type":"STRING","widget":{"name":"str"},"link":null}],"outputs":[{"localized_name":"str","name":"str","type":"STRING","slot_index":0,"links":[167]}],"title":"Set Text - Positive","properties":{"cnr_id":"comfyui_sageutils","ver":"abe2166c352d72a1c23ccf95b9e9ec9230d01d07","Node name for S&R":"Sage_SetText"},"widgets_values":["galactic cosmic funk cat floating in space, stars, planets, lasers, colorful, funky, groovy, yellow eyes, fur, furry, fur tufts, volumetric lighting, soft shading"]},{"id":88,"type":"Sage_SetText","pos":[613.568115234375,1536.1527099609375],"size":[250.92800903320312,156],"flags":{},"order":0,"mode":0,"inputs":[{"localized_name":"prefix","name":"prefix","shape":7,"type":"STRING","link":null},{"localized_name":"suffix","name":"suffix","shape":7,"type":"STRING","link":null},{"localized_name":"str","name":"str","type":"STRING","widget":{"name":"str"},"link":null}],"outputs":[{"localized_name":"str","name":"str","type":"STRING","links":[155]}],"properties":{"cnr_id":"comfyui_sageutils","ver":"abe2166c352d72a1c23ccf95b9e9ec9230d01d07","Node name for S&R":"Sage_SetText"},"widgets_values":["*Add any extra text you want in your metadata here*"]},{"id":89,"type":"Sage_SetText","pos":[-110.12495422363281,1337.587158203125],"size":[400,200],"flags":{},"order":1,"mode":0,"inputs":[{"localized_name":"prefix","name":"prefix","shape":7,"type":"STRING","link":null},{"localized_name":"suffix","name":"suffix","shape":7,"type":"STRING","link":null},{"localized_name":"str","name":"str","type":"STRING","widget":{"name":"str"},"link":null}],"outputs":[{"localized_name":"str","name":"str","type":"STRING","links":[156]}],"title":"Set Text - Negative","properties":{"cnr_id":"comfyui_sageutils","ver":"abe2166c352d72a1c23ccf95b9e9ec9230d01d07","Node name for S&R":"Sage_SetText"},"widgets_values":["signature, watermark"]},{"id":102,"type":"Note","pos":[-94.11932373046875,1580.0672607421875],"size":[640.9400024414062,439.97296142578125],"flags":{},"order":2,"mode":0,"inputs":[],"outputs":[],"properties":{},"widgets_values":["A few things worthy of note:\n\"Construct Metadata\" and \"Construct Metadata Lite\" both build metadata and pass it over to be added to the picture metadata as text, but Lite adds less data, and does so in a format that Civitai seems to think is a site generated picture.\n\nThe extra input is literally for anything extra you want in there, such as your name. The switches are both for things ComfyUI normally adds, letting you not include workflow information if you don't want to.\n\nOn the \"Prompts to CLIP\" node, both \"pos\" and \"neg\" are optional, and if you don't hook them up, the node will zero the corresponding conditioning.\n\nThere's a \"Last Lora Info\" node you can hook to the lora_stack output to get info from civitai on the last lora in the stack, including both the url for that version *and* the latest version. There's a corresponding \"Model Info\" node for models. The lora_stacks are interchangeable with other people's custom nodes.\n\nA cache is kept of models and loras you use. \"Cache Maintenance\" and \"Model Scan & Report\" will let you do things such as adding all your models and loras to the cache (very slow), run reports showing duplicates and sorting by model type, and such.\n\nThe \"Add Pony v6 Prefixes\" node is just a helper node for pony based models, and can be left out otherwise.\n\nYou can hook Sampler Info and Adv Sampler Info to multiple KSamplers (and the latter is 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The switches are both for things ComfyUI normally adds, letting you not include workflow information if you don't want to.\n\nOn the \"Prompts to CLIP\" node, both \"pos\" and \"neg\" are optional, and if you don't hook them up, the node will zero the corresponding conditioning.\n\nThere's a \"Last Lora Info\" node you can hook to the lora_stack output to get info from civitai on the last lora in the stack, including both the url for that version *and* the latest version. There's a corresponding \"Model Info\" node for models. The lora_stacks are interchangeable with other people's custom nodes.\n\nA cache is kept of models and loras you use. \"Cache Maintenance\" and \"Model Scan & Report\" will let you do things such as adding all your models and loras to the cache (very slow), run reports showing duplicates and sorting by model type, and such.\n\nThe \"Add Pony v6 Prefixes\" node is just a helper node for pony based models, and can be left out otherwise.\n\nYou can hook Sampler Info and Adv Sampler Info to multiple KSamplers (and the latter is optional)!"],"color":"#432","bgcolor":"#653"},{"id":88,"type":"Sage_SetText","pos":[533.1552734375,1421.7530517578125],"size":[250.92800903320312,156],"flags":{},"order":0,"mode":0,"inputs":[{"localized_name":"prefix","name":"prefix","shape":7,"type":"STRING","link":null},{"localized_name":"suffix","name":"suffix","shape":7,"type":"STRING","link":null},{"localized_name":"str","name":"str","type":"STRING","widget":{"name":"str"},"link":null}],"outputs":[{"localized_name":"str","name":"str","type":"STRING","links":[155]}],"properties":{"cnr_id":"comfyui_sageutils","ver":"abe2166c352d72a1c23ccf95b9e9ec9230d01d07","Node name for S&R":"Sage_SetText"},"widgets_values":["*Add any extra text you want in your metadata 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\ No newline at end of file
diff --git a/example_workflows/Flux Dev Example.json b/example_workflows/Flux Dev Example.json
index 66b234b..bdb34c0 100644
--- a/example_workflows/Flux Dev Example.json	
+++ b/example_workflows/Flux Dev Example.json	
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diff --git a/example_workflows/Lumina 2 Example.json b/example_workflows/Lumina 2 Example.json
index 33accb5..85b5707 100644
--- a/example_workflows/Lumina 2 Example.json	
+++ b/example_workflows/Lumina 2 Example.json	
@@ -1 +1 @@
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diff --git a/example_workflows/NoobXL Example.json b/example_workflows/NoobXL Example.json
index 2ea72d7..b912d30 100644
--- a/example_workflows/NoobXL Example.json	
+++ b/example_workflows/NoobXL Example.json	
@@ -1 +1 @@
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diff --git a/example_workflows/Pony to Wan Video Example.json b/example_workflows/Pony to Wan Video Example.json
index d61f04f..fdfa4df 100644
--- a/example_workflows/Pony to Wan Video Example.json	
+++ b/example_workflows/Pony to Wan Video Example.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/nodes/sampler.py b/nodes/sampler.py
index 3672720..1580eef 100644
--- a/nodes/sampler.py
+++ b/nodes/sampler.py
@@ -151,8 +151,9 @@ class Sage_KSamplerDecoder(ComfyNodeABC):
     OUTPUT_TOOLTIPS = ("The denoised latent.", "The decoded image.")
     FUNCTION = "sample"
 
-    CATEGORY = "Sage Utils/sampler"
-    DESCRIPTION = "Uses the provided model, positive and negative conditioning to denoise the latent image, and generate an image with the provided vae. Designed to work with the Sampler info node."
+    CATEGORY = "Sage Utils/depreciated/sampler"
+    DESCRIPTION = "KSampler + Tiled Decoder is preferred, because the tiling is optional on it. Uses the provided model, positive and negative conditioning to denoise the latent image, and generate an image with the provided vae. Designed to work with the Sampler info node."
+    DEPRECATED = True
 
     def sample(self, model, sampler_info, positive, negative, latent_image, vae, denoise=1.0, advanced_info = None) -> tuple:
         latent_result = None
@@ -183,7 +184,6 @@ class Sage_KSamplerTiledDecoder(ComfyNodeABC):
             "required": {
                 "model": (IO.MODEL, {"tooltip": "The model used for denoising the input latent."}),
                 "sampler_info": ('SAMPLER_INFO', { "defaultInput": True, "tooltip": "Adds in most of the KSampler options. Should be piped both here and to the Construct Metadata node."}),
-                "tiling_info": ('TILING_INFO', { "defaultInput": True, "tooltip": "Adds in the tiling options."}),
                 "positive": (IO.CONDITIONING, {"tooltip": "The conditioning describing the attributes you want to include in the image."}),
                 "negative": (IO.CONDITIONING, {"tooltip": "The conditioning describing the attributes you want to exclude from the image."}),
                 "latent_image": (IO.LATENT, {"tooltip": "The latent image to denoise."}),
@@ -191,6 +191,7 @@ class Sage_KSamplerTiledDecoder(ComfyNodeABC):
                 "denoise": (IO.FLOAT, {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01, "tooltip": "The amount of denoising applied, lower values will maintain the structure of the initial image allowing for image to image sampling."})
             },
             "optional": {
+                "tiling_info": ('TILING_INFO', { "defaultInput": True, "tooltip": "Adds in the tiling options."}),
                 "advanced_info": ('ADV_SAMPLER_INFO', {"defaultInput": True, "tooltip": "Optional. Adds in the options an advanced KSampler would have."})
             }
         }
@@ -200,9 +201,9 @@ class Sage_KSamplerTiledDecoder(ComfyNodeABC):
     FUNCTION = "sample"
 
     CATEGORY = "Sage Utils/sampler"
-    DESCRIPTION = "Uses the provided model, positive and negative conditioning to denoise the latent image, and generate an image with the provided vae. Designed to work with the Sampler info node."
+    DESCRIPTION = "Uses the provided model, positive and negative conditioning to denoise the latent image, and generate an image with the provided vae. Designed to work with the Sampler info node. Will tile if tiling info is provided."
 
-    def sample(self, model, sampler_info, tiling_info, positive, negative, latent_image, vae, denoise=1.0, advanced_info = None) -> tuple:
+    def sample(self, model, sampler_info, positive, negative, latent_image, vae, denoise=1.0, tiling_info = None, advanced_info = None) -> tuple:
         latent_result = None
         
         if advanced_info is None:
@@ -217,34 +218,37 @@ class Sage_KSamplerTiledDecoder(ComfyNodeABC):
                 disable_noise = True
             latent_result = nodes.common_ksampler(model, sampler_info["seed"], sampler_info["steps"], sampler_info["cfg"], sampler_info["sampler"],  sampler_info["scheduler"], positive, negative, latent_image, denoise=denoise, disable_noise=disable_noise, start_step=advanced_info['start_at_step'], last_step=advanced_info['end_at_step'], force_full_denoise=force_full_denoise)
         
-        t_info_tile_size = tiling_info["tile_size"]
-        t_info_overlap = tiling_info["overlap"]
-        t_info_temporal_size = tiling_info["temporal_size"]
-        t_info_temporal_overlap = tiling_info["temporal_overlap"]
-        
-        if t_info_tile_size < t_info_overlap * 4:
-            t_info_overlap = t_info_tile_size // 4
-        if t_info_temporal_size < t_info_temporal_overlap * 2:
-            t_info_temporal_overlap = t_info_temporal_overlap // 2
+        if tiling_info is not None:
+            print("Tiling info provided")
+            t_info_tile_size = tiling_info["tile_size"]
+            t_info_overlap = tiling_info["overlap"]
+            t_info_temporal_size = tiling_info["temporal_size"]
+            t_info_temporal_overlap = tiling_info["temporal_overlap"]
+            
+            if t_info_tile_size < t_info_overlap * 4:
+                t_info_overlap = t_info_tile_size // 4
+            if t_info_temporal_size < t_info_temporal_overlap * 2:
+                t_info_temporal_overlap = t_info_temporal_overlap // 2
 
-        temporal_compression = vae.temporal_compression_decode()
+            temporal_compression = vae.temporal_compression_decode()
 
-        if temporal_compression is not None:
-            t_info_temporal_size = max(2, t_info_temporal_size // t_info_temporal_overlap)
-            t_info_temporal_overlap = max(1, min(t_info_temporal_size // 2, t_info_temporal_overlap // temporal_compression))
-        else:
-            t_info_temporal_size = None
-            t_info_temporal_overlap = None
+            if temporal_compression is not None:
+                t_info_temporal_size = max(2, t_info_temporal_size // t_info_temporal_overlap)
+                t_info_temporal_overlap = max(1, min(t_info_temporal_size // 2, t_info_temporal_overlap // temporal_compression))
+            else:
+                t_info_temporal_size = None
+                t_info_temporal_overlap = None
 
-        compression = vae.spacial_compression_decode()
+            compression = vae.spacial_compression_decode()
         
         images = vae.decode(latent_result[0]["samples"])
-        images = vae.decode_tiled(
-            latent_result[0]["samples"], 
-            tile_x=t_info_tile_size // compression, tile_y=t_info_tile_size // compression, 
-            overlap=t_info_overlap // compression, 
-            tile_t=t_info_temporal_size, 
-            overlap_t=t_info_temporal_overlap)
+        if tiling_info is not None:
+            images = vae.decode_tiled(
+                latent_result[0]["samples"], 
+                tile_x=t_info_tile_size // compression, tile_y=t_info_tile_size // compression, 
+                overlap=t_info_overlap // compression, 
+                tile_t=t_info_temporal_size, 
+                overlap_t=t_info_temporal_overlap)
         
         if len(images.shape) == 5: #Combine batches
             images = images.reshape(-1, images.shape[-3], images.shape[-2], images.shape[-1])