diff --git a/py/defs/ext/easyuse_nodes.py b/py/defs/ext/easyuse_nodes.py
index 3f7874d..aab5bfd 100644
--- a/py/defs/ext/easyuse_nodes.py
+++ b/py/defs/ext/easyuse_nodes.py
@@ -4,7 +4,12 @@ from ..formatters import calc_model_hash, calc_lora_hash, convert_skip_clip
 import re
 
 def get_lora_model_name_stack(node_id, obj, prompt, extra_data, outputs, input_data):
-    return get_lora_data_stack(input_data, "lora_\d_name")
+    toggled_on = input_data[0]["toggle"][0]
+    
+    if toggled_on:
+        return get_lora_data_stack(input_data, "lora_\d_name")
+    else:
+        return []
 
 
 def get_lora_model_hash_stack(node_id, obj, prompt, extra_data, outputs, input_data):
@@ -47,9 +52,36 @@ SAMPLERS = {
         "positive": "positive",
         "negative": "negative",
     },
+    "easy preSampling": {
+        
+    },
+    "easy preSamplingAdvanced": {
+        
+    },
+    "easy preSamplingCascade": {
+        
+    },
+    "easy preSamplingCustom": {
+        
+    },
+    "easy preSamplingDynamicCFG": {
+        
+    },
+    "easy preSamplingLayerDiffusion": {
+        
+    },
+    "easy preSamplingNoiseIn": {
+        
+    },
+    "easy preSamplingSdTurbo": {
+        
+    }
 }
 
 
+
+
+
 CAPTURE_FIELD_LIST = {
     "easy fullLoader": {
         MetaField.MODEL_NAME: {"field_name": "ckpt_name"},
@@ -84,6 +116,62 @@ CAPTURE_FIELD_LIST = {
         MetaField.SAMPLER_NAME: {"field_name": "sampler_name"},
         MetaField.SCHEDULER: {"field_name": "scheduler"},
     },
+    "easy preSampling": {
+        MetaField.SEED: {"field_name": "seed"},
+        MetaField.STEPS: {"field_name": "steps"},
+        MetaField.CFG: {"field_name": "cfg"},
+        MetaField.SAMPLER_NAME: {"field_name": "sampler_name"},
+        MetaField.SCHEDULER: {"field_name": "scheduler"},
+    },
+    "easy preSamplingAdvanced": {
+        MetaField.SEED: {"field_name": "seed"},
+        MetaField.STEPS: {"field_name": "steps"},
+        MetaField.CFG: {"field_name": "cfg"},
+        MetaField.SAMPLER_NAME: {"field_name": "sampler_name"},
+        MetaField.SCHEDULER: {"field_name": "scheduler"},
+    },
+    "easy preSamplingCascade": {
+        MetaField.SEED: {"field_name": "seed"},
+        MetaField.STEPS: {"field_name": "steps"},
+        MetaField.CFG: {"field_name": "cfg"},
+        MetaField.SAMPLER_NAME: {"field_name": "sampler_name"},
+        MetaField.SCHEDULER: {"field_name": "scheduler"},
+    },
+    "easy preSamplingCustom": {
+        MetaField.SEED: {"field_name": "seed"},
+        MetaField.STEPS: {"field_name": "steps"},
+        MetaField.CFG: {"field_name": "cfg"},
+        MetaField.SAMPLER_NAME: {"field_name": "sampler_name"},
+        MetaField.SCHEDULER: {"field_name": "scheduler"},
+    },
+    "easy preSamplingDynamicCFG": {
+        MetaField.SEED: {"field_name": "seed"},
+        MetaField.STEPS: {"field_name": "steps"},
+        MetaField.CFG: {"field_name": "cfg"},
+        MetaField.SAMPLER_NAME: {"field_name": "sampler_name"},
+        MetaField.SCHEDULER: {"field_name": "scheduler"},
+    },
+    "easy preSamplingLayerDiffusion": {
+        MetaField.SEED: {"field_name": "seed"},
+        MetaField.STEPS: {"field_name": "steps"},
+        MetaField.CFG: {"field_name": "cfg"},
+        MetaField.SAMPLER_NAME: {"field_name": "sampler_name"},
+        MetaField.SCHEDULER: {"field_name": "scheduler"},
+    },
+    "easy preSamplingNoiseIn": {
+        MetaField.SEED: {"field_name": "seed"},
+        MetaField.STEPS: {"field_name": "steps"},
+        MetaField.CFG: {"field_name": "cfg"},
+        MetaField.SAMPLER_NAME: {"field_name": "sampler_name"},
+        MetaField.SCHEDULER: {"field_name": "scheduler"},
+    },
+    "easy preSamplingSdTurbo": {
+        MetaField.SEED: {"field_name": "seed"},
+        MetaField.STEPS: {"field_name": "steps"},
+        MetaField.CFG: {"field_name": "cfg"},
+        MetaField.SAMPLER_NAME: {"field_name": "sampler_name"},
+        MetaField.SCHEDULER: {"field_name": "scheduler"},
+    },
     "easy loraStack": {
         MetaField.LORA_MODEL_NAME: {"selector": get_lora_model_name_stack},
         MetaField.LORA_MODEL_HASH: {"selector": get_lora_model_hash_stack},
diff --git a/py/nodes/node.py b/py/nodes/node.py
index a00489a..ae25116 100644
--- a/py/nodes/node.py
+++ b/py/nodes/node.py
@@ -53,6 +53,7 @@ class SaveImageWithMetaData(BaseNode):
                 "add_counter_to_filename": ("BOOLEAN", {"default": True}),
                 "civitai_sampler": ("BOOLEAN", {"default": False}),
                 "extra_metadata": ("EXTRA_METADATA", {}),
+                "save_workflow_image": ("BOOLEAN", {"default": True}),
             },
             "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
         }
@@ -79,6 +80,7 @@ class SaveImageWithMetaData(BaseNode):
         extra_metadata={},
         prompt=None,
         extra_pnginfo=None,
+        save_workflow_image=True,
     ):
         pnginfo_dict_src = self.gen_pnginfo(
             sampler_selection_method, sampler_selection_node_id, civitai_sampler
@@ -104,12 +106,14 @@ class SaveImageWithMetaData(BaseNode):
                 parameters = Capture.gen_parameters_str(pnginfo_dict)
                 if pnginfo_dict:
                     metadata.add_text("parameters", parameters)
-                if prompt is not None:
+                if prompt is not None and save_workflow_image:
                     metadata.add_text("prompt", json.dumps(prompt))
                 if extra_pnginfo is not None:
                     for x in extra_pnginfo:
                         metadata.add_text(x, json.dumps(extra_pnginfo[x]))
-
+                if save_workflow_image == False:
+                    metadata.add_text("workflow", "")
+            
             filename_prefix = self.format_filename(filename_prefix, pnginfo_dict)
             output_path = os.path.join(self.output_dir, filename_prefix)
             if not os.path.exists(os.path.dirname(output_path)):