diff --git a/ip_adapter/ip_adapter.py b/ip_adapter/ip_adapter.py
index 2afe535..dcb8824 100644
--- a/ip_adapter/ip_adapter.py
+++ b/ip_adapter/ip_adapter.py
@@ -8,7 +8,7 @@ from PIL import Image
 from safetensors import safe_open
 from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection
 
-from .utils import is_torch2_available
+from .utils import is_torch2_available, get_generator
 
 if is_torch2_available():
     from .attention_processor import (
@@ -204,7 +204,8 @@ class IPAdapter:
             prompt_embeds = torch.cat([prompt_embeds_, image_prompt_embeds], dim=1)
             negative_prompt_embeds = torch.cat([negative_prompt_embeds_, uncond_image_prompt_embeds], dim=1)
 
-        generator = torch.Generator(self.device).manual_seed(seed) if seed is not None else None
+        generator = get_generator(seed, self.device)
+
         images = self.pipe(
             prompt_embeds=prompt_embeds,
             negative_prompt_embeds=negative_prompt_embeds,
@@ -267,7 +268,7 @@ class IPAdapterXL(IPAdapter):
             prompt_embeds = torch.cat([prompt_embeds, image_prompt_embeds], dim=1)
             negative_prompt_embeds = torch.cat([negative_prompt_embeds, uncond_image_prompt_embeds], dim=1)
 
-        self.generator = torch.Generator(self.device).manual_seed(seed) if seed is not None else None
+        self.generator = get_generator(seed, self.device)
         
         images = self.pipe(
             prompt_embeds=prompt_embeds,
@@ -401,7 +402,8 @@ class IPAdapterPlusXL(IPAdapter):
             prompt_embeds = torch.cat([prompt_embeds, image_prompt_embeds], dim=1)
             negative_prompt_embeds = torch.cat([negative_prompt_embeds, uncond_image_prompt_embeds], dim=1)
 
-        generator = torch.Generator(self.device).manual_seed(seed) if seed is not None else None
+        generator = get_generator(seed, self.device)
+
         images = self.pipe(
             prompt_embeds=prompt_embeds,
             negative_prompt_embeds=negative_prompt_embeds,
diff --git a/ip_adapter/ip_adapter_faceid.py b/ip_adapter/ip_adapter_faceid.py
index c75fddf..fe98ad5 100644
--- a/ip_adapter/ip_adapter_faceid.py
+++ b/ip_adapter/ip_adapter_faceid.py
@@ -9,7 +9,7 @@ from safetensors import safe_open
 from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection
 
 from .attention_processor_faceid import LoRAAttnProcessor, LoRAIPAttnProcessor
-from .utils import is_torch2_available
+from .utils import is_torch2_available, get_generator
 
 USE_DAFAULT_ATTN = False # should be True for visualization_attnmap
 if is_torch2_available() and (not USE_DAFAULT_ATTN):
@@ -238,7 +238,8 @@ class IPAdapterFaceID:
             prompt_embeds = torch.cat([prompt_embeds_, image_prompt_embeds], dim=1)
             negative_prompt_embeds = torch.cat([negative_prompt_embeds_, uncond_image_prompt_embeds], dim=1)
 
-        generator = torch.Generator(self.device).manual_seed(seed) if seed is not None else None
+        generator = get_generator(seed, self.device)
+
         images = self.pipe(
             prompt_embeds=prompt_embeds,
             negative_prompt_embeds=negative_prompt_embeds,
@@ -390,7 +391,8 @@ class IPAdapterFaceIDPlus:
             prompt_embeds = torch.cat([prompt_embeds_, image_prompt_embeds], dim=1)
             negative_prompt_embeds = torch.cat([negative_prompt_embeds_, uncond_image_prompt_embeds], dim=1)
 
-        generator = torch.Generator(self.device).manual_seed(seed) if seed is not None else None
+        generator = get_generator(seed, self.device)
+
         images = self.pipe(
             prompt_embeds=prompt_embeds,
             negative_prompt_embeds=negative_prompt_embeds,
@@ -454,7 +456,8 @@ class IPAdapterFaceIDXL(IPAdapterFaceID):
             prompt_embeds = torch.cat([prompt_embeds, image_prompt_embeds], dim=1)
             negative_prompt_embeds = torch.cat([negative_prompt_embeds, uncond_image_prompt_embeds], dim=1)
 
-        generator = torch.Generator(self.device).manual_seed(seed) if seed is not None else None
+        generator = get_generator(seed, self.device)
+
         images = self.pipe(
             prompt_embeds=prompt_embeds,
             negative_prompt_embeds=negative_prompt_embeds,
@@ -523,7 +526,8 @@ class IPAdapterFaceIDPlusXL(IPAdapterFaceIDPlus):
             prompt_embeds = torch.cat([prompt_embeds, image_prompt_embeds], dim=1)
             negative_prompt_embeds = torch.cat([negative_prompt_embeds, uncond_image_prompt_embeds], dim=1)
 
-        generator = torch.Generator(self.device).manual_seed(seed) if seed is not None else None
+        generator = get_generator(seed, self.device)
+
         images = self.pipe(
             prompt_embeds=prompt_embeds,
             negative_prompt_embeds=negative_prompt_embeds,
diff --git a/ip_adapter/ip_adapter_faceid_separate.py b/ip_adapter/ip_adapter_faceid_separate.py
index 67b6d1e..80ca84c 100644
--- a/ip_adapter/ip_adapter_faceid_separate.py
+++ b/ip_adapter/ip_adapter_faceid_separate.py
@@ -8,7 +8,7 @@ from PIL import Image
 from safetensors import safe_open
 from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection
 
-from .utils import is_torch2_available
+from .utils import is_torch2_available, get_generator
 
 USE_DAFAULT_ATTN = False # should be True for visualization_attnmap
 if is_torch2_available() and (not USE_DAFAULT_ATTN):
@@ -246,7 +246,8 @@ class IPAdapterFaceID:
             prompt_embeds = torch.cat([prompt_embeds_, image_prompt_embeds], dim=1)
             negative_prompt_embeds = torch.cat([negative_prompt_embeds_, uncond_image_prompt_embeds], dim=1)
 
-        generator = torch.Generator(self.device).manual_seed(seed) if seed is not None else None
+        generator = get_generator(seed, self.device)
+
         images = self.pipe(
             prompt_embeds=prompt_embeds,
             negative_prompt_embeds=negative_prompt_embeds,
@@ -395,7 +396,8 @@ class IPAdapterFaceIDPlus:
             prompt_embeds = torch.cat([prompt_embeds_, image_prompt_embeds], dim=1)
             negative_prompt_embeds = torch.cat([negative_prompt_embeds_, uncond_image_prompt_embeds], dim=1)
 
-        generator = torch.Generator(self.device).manual_seed(seed) if seed is not None else None
+        generator = get_generator(seed, self.device)
+
         images = self.pipe(
             prompt_embeds=prompt_embeds,
             negative_prompt_embeds=negative_prompt_embeds,
@@ -459,7 +461,8 @@ class IPAdapterFaceIDXL(IPAdapterFaceID):
             prompt_embeds = torch.cat([prompt_embeds, image_prompt_embeds], dim=1)
             negative_prompt_embeds = torch.cat([negative_prompt_embeds, uncond_image_prompt_embeds], dim=1)
 
-        generator = torch.Generator(self.device).manual_seed(seed) if seed is not None else None
+        generator = get_generator(seed, self.device)
+
         images = self.pipe(
             prompt_embeds=prompt_embeds,
             negative_prompt_embeds=negative_prompt_embeds,
@@ -528,7 +531,8 @@ class IPAdapterFaceIDPlusXL(IPAdapterFaceIDPlus):
             prompt_embeds = torch.cat([prompt_embeds, image_prompt_embeds], dim=1)
             negative_prompt_embeds = torch.cat([negative_prompt_embeds, uncond_image_prompt_embeds], dim=1)
 
-        generator = torch.Generator(self.device).manual_seed(seed) if seed is not None else None
+        generator = get_generator(seed, self.device)
+
         images = self.pipe(
             prompt_embeds=prompt_embeds,
             negative_prompt_embeds=negative_prompt_embeds,
diff --git a/ip_adapter/utils.py b/ip_adapter/utils.py
index 3c99cd1..6a27335 100644
--- a/ip_adapter/utils.py
+++ b/ip_adapter/utils.py
@@ -79,3 +79,15 @@ def attnmaps2images(net_attn_maps):
     return images
 def is_torch2_available():
     return hasattr(F, "scaled_dot_product_attention")
+
+def get_generator(seed, device):
+
+    if seed is not None:
+        if isinstance(seed, list):
+            generator = [torch.Generator(device).manual_seed(seed_item) for seed_item in seed]
+        else:
+            generator = torch.Generator(device).manual_seed(seed)
+    else:
+        generator = None
+
+    return generator
\ No newline at end of file