diff --git a/src/cohere/client.py b/src/cohere/client.py
index 14ef841f1..40d9cc241 100644
--- a/src/cohere/client.py
+++ b/src/cohere/client.py
@@ -178,7 +178,8 @@ def __exit__(self, exc_type, exc_value, traceback):
     def embed(
         self,
         *,
-        texts: typing.Sequence[str],
+        texts: typing.Optional[typing.Sequence[str]] = OMIT,
+        images: typing.Optional[typing.Sequence[str]] = OMIT,
         model: typing.Optional[str] = OMIT,
         input_type: typing.Optional[EmbedInputType] = OMIT,
         embedding_types: typing.Optional[typing.Sequence[EmbeddingType]] = OMIT,
@@ -190,6 +191,7 @@ def embed(
             return BaseCohere.embed(
                 self,
                 texts=texts,
+                images=images,
                 model=model,
                 input_type=input_type,
                 embedding_types=embedding_types,
@@ -197,21 +199,28 @@ def embed(
                 request_options=request_options,
             )
 
+        texts = texts or []
         texts_batches = [texts[i : i + embed_batch_size] for i in range(0, len(texts), embed_batch_size)]
 
+        images = images or []
+        images_batches = [images[i : i + embed_batch_size] for i in range(0, len(images), embed_batch_size)]
+
+        zipped = zip(texts_batches, images_batches)
+
         responses = [
             response
             for response in self._executor.map(
-                lambda text_batch: BaseCohere.embed(
+                lambda batch: BaseCohere.embed(
                     self,
-                    texts=text_batch,
+                    texts=batch[0],
+                    images=batch[1],
                     model=model,
                     input_type=input_type,
                     embedding_types=embedding_types,
                     truncate=truncate,
                     request_options=request_options,
                 ),
-                texts_batches,
+                zipped,
             )
         ]
 
@@ -366,7 +375,8 @@ async def __aexit__(self, exc_type, exc_value, traceback):
     async def embed(
         self,
         *,
-        texts: typing.Sequence[str],
+        texts: typing.Optional[typing.Sequence[str]] = OMIT,
+        images: typing.Optional[typing.Sequence[str]] = OMIT,
         model: typing.Optional[str] = OMIT,
         input_type: typing.Optional[EmbedInputType] = OMIT,
         embedding_types: typing.Optional[typing.Sequence[EmbeddingType]] = OMIT,
@@ -385,22 +395,30 @@ async def embed(
                 request_options=request_options,
             )
 
+        
+        texts = texts or []
         texts_batches = [texts[i : i + embed_batch_size] for i in range(0, len(texts), embed_batch_size)]
 
+        images = images or []
+        images_batches = [images[i : i + embed_batch_size] for i in range(0, len(images), embed_batch_size)]
+
+        zipped = zip(texts_batches, images_batches)
+
         responses = typing.cast(
             typing.List[EmbedResponse],
             await asyncio.gather(
                 *[
                     AsyncBaseCohere.embed(
                         self,
-                        texts=text_batch,
+                        texts=batch[0],
+                        images=batch[1],
                         model=model,
                         input_type=input_type,
                         embedding_types=embedding_types,
                         truncate=truncate,
                         request_options=request_options,
                     )
-                    for text_batch in texts_batches
+                    for batch in zipped
                 ]
             ),
         )