diff --git a/prompt_enhancer_nodes.py b/prompt_enhancer_nodes.py
index 6dd1e4c..2c1df90 100644
--- a/prompt_enhancer_nodes.py
+++ b/prompt_enhancer_nodes.py
@@ -38,7 +38,7 @@ def __init__(
             + 1073741824
         )
 
-    def forward(self, prompt, image_conditioning, max_resulting_tokens):
+    def forward(self, prompt, image_conditioning, max_resulting_tokens, seed=-1):
         enhanced_prompt = generate_cinematic_prompt(
             self.image_caption_model,
             self.image_caption_processor,
@@ -47,6 +47,7 @@ def forward(self, prompt, image_conditioning, max_resulting_tokens):
             prompt,
             image_conditioning,
             max_new_tokens=max_resulting_tokens,
+            seed=seed
         )
 
         return enhanced_prompt
@@ -172,6 +173,7 @@ def INPUT_TYPES(s):
             },
             "optional": {
                 "image_prompt": ("IMAGE",),
+                "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
             },
         }
 
@@ -192,6 +194,7 @@ def enhance(
         prompt_enhancer: comfy.model_patcher.ModelPatcher,
         image_prompt: torch.Tensor = None,
         max_resulting_tokens=256,
+        seed=-1,
     ):
         comfy.model_management.free_memory(
             prompt_enhancer.memory_required([]),
@@ -204,5 +207,5 @@ def enhance(
             permuted_image = image_prompt.permute(3, 0, 1, 2)[None, :]
             image_conditioning = [(permuted_image, 0, 1.0)]
 
-        enhanced_prompt = model(prompt, image_conditioning, max_resulting_tokens)
+        enhanced_prompt = model(prompt, image_conditioning, max_resulting_tokens, seed)
         return (enhanced_prompt[0],)
diff --git a/prompt_enhancer_utils.py b/prompt_enhancer_utils.py
index e05ecfa..7c87846 100644
--- a/prompt_enhancer_utils.py
+++ b/prompt_enhancer_utils.py
@@ -80,7 +80,12 @@ def generate_cinematic_prompt(
     prompt: Union[str, List[str]],
     conditioning_items: Optional[List[Tuple[torch.Tensor, int, float]]] = None,
     max_new_tokens: int = 256,
+    seed: int = -1,
 ) -> List[str]:
+    from transformers import set_seed
+    if seed > -1:
+        set_seed(seed)
+    
     prompts = [prompt] if isinstance(prompt, str) else prompt
 
     if conditioning_items is None: