diff --git a/ldm/simplet2i.py b/ldm/simplet2i.py
index c7f6263816..475f891ddd 100644
--- a/ldm/simplet2i.py
+++ b/ldm/simplet2i.py
@@ -51,6 +51,7 @@ import sys
 import os
 from omegaconf import OmegaConf
 from PIL import Image
+import PIL
 from tqdm import tqdm, trange
 from itertools import islice
 from einops import rearrange, repeat
@@ -89,6 +90,7 @@ class T2I:
     downsampling_factor
     precision
     strength
+    embedding_path
 
 The vast majority of these arguments default to reasonable values.
 """
@@ -113,6 +115,7 @@ The vast majority of these arguments default to reasonable values.
                  precision='autocast',
                  full_precision=False,
                  strength=0.75, # default in scripts/img2img.py
+                 embedding_path=None,
                  latent_diffusion_weights=False  # just to keep track of this parameter when regenerating prompt
     ):
         self.outdir     = outdir
@@ -133,6 +136,7 @@ The vast majority of these arguments default to reasonable values.
         self.precision           = precision
         self.full_precision      = full_precision
         self.strength            = strength
+        self.embedding_path      = embedding_path
         self.model      = None     # empty for now
         self.sampler    = None
         self.latent_diffusion_weights=latent_diffusion_weights
@@ -143,7 +147,7 @@ The vast majority of these arguments default to reasonable values.
 
     def txt2img(self,prompt,outdir=None,batch_size=None,iterations=None,
                 steps=None,seed=None,grid=None,individual=None,width=None,height=None,
-                cfg_scale=None,ddim_eta=None,strength=None,init_img=None,skip_normalize=False):
+                cfg_scale=None,ddim_eta=None,strength=None,embedding_path=None,init_img=None,skip_normalize=False):
         """
         Generate an image from the prompt, writing iteration images into the outdir
         The output is a list of lists in the format: [[filename1,seed1], [filename2,seed2],...]
@@ -158,6 +162,7 @@ The vast majority of these arguments default to reasonable values.
         batch_size = batch_size or self.batch_size
         iterations = iterations or self.iterations
         strength   = strength   or self.strength     # not actually used here, but preserved for code refactoring
+        embedding_path = embedding_path or self.embedding_path
 
         model = self.load_model()  # will instantiate the model or return it from cache
 
@@ -268,7 +273,7 @@ The vast majority of these arguments default to reasonable values.
     # There is lots of shared code between this and txt2img and should be refactored.
     def img2img(self,prompt,outdir=None,init_img=None,batch_size=None,iterations=None,
                 steps=None,seed=None,grid=None,individual=None,width=None,height=None,
-                cfg_scale=None,ddim_eta=None,strength=None,skip_normalize=False):
+                cfg_scale=None,ddim_eta=None,strength=None,embedding_path=None,skip_normalize=False):
         """
         Generate an image from the prompt and the initial image, writing iteration images into the outdir
         The output is a list of lists in the format: [[filename1,seed1], [filename2,seed2],...]
@@ -281,6 +286,7 @@ The vast majority of these arguments default to reasonable values.
         batch_size = batch_size or self.batch_size
         iterations = iterations or self.iterations
         strength   = strength   or self.strength
+        embedding_path = embedding_path or self.embedding_path
 
         if init_img is None:
             print("no init_img provided!")
@@ -431,6 +437,7 @@ The vast majority of these arguments default to reasonable values.
                 config = OmegaConf.load(self.config)
                 self.device = torch.device("cuda") if torch.cuda.is_available() else torch.device("cpu")
                 model = self._load_model_from_config(config,self.weights)
+                model.embedding_manager.load(self.embedding_path)
                 self.model = model.to(self.device)
             except AttributeError:
                 raise SystemExit
@@ -472,7 +479,7 @@ The vast majority of these arguments default to reasonable values.
         w, h = image.size
         print(f"loaded input image of size ({w}, {h}) from {path}")
         w, h = map(lambda x: x - x % 32, (w, h))  # resize to integer multiple of 32
-        image = image.resize((w, h), resample=Image.Resampling.LANCZOS)
+        image = image.resize((w, h), resample=PIL.Image.LANCZOS)
         image = np.array(image).astype(np.float32) / 255.0
         image = image[None].transpose(0, 3, 1, 2)
         image = torch.from_numpy(image)