Fix bug in Textual Inversion Unloading

src/diffusers/loaders/textual_inversion.py

@@ -561,6 +561,8 @@ def unload_textual_inversion(
                 tokenizer._added_tokens_encoder[token.content] = last_special_token_id + key_id
                 key_id += 1
         tokenizer._update_trie()
+        # set correct total vocab size after removing tokens
+        tokenizer._update_total_vocab_size()
 
         # Delete from text encoder
         text_embedding_dim = text_encoder.get_input_embeddings().embedding_dim

tests/pipelines/test_pipelines.py

@@ -947,6 +947,27 @@ def test_text_inversion_multi_tokens(self):
             emb1[num_tokens + 1].sum().item() == emb2[num_tokens + 1].sum().item() == emb3[num_tokens + 1].sum().item()
         )
 
+    def test_textual_inversion_unload(self):
+        pipe1 = StableDiffusionPipeline.from_pretrained(
+            "hf-internal-testing/tiny-stable-diffusion-torch", safety_checker=None
+        )
+        pipe1 = pipe1.to(torch_device)
+        orig_tokenizer_size = len(pipe1.tokenizer)
+        orig_emb_size = len(pipe1.text_encoder.get_input_embeddings().weight)
+
+        token = "<*>"
+        ten = torch.ones((32,))
+        pipe1.load_textual_inversion(ten, token=token)
+        pipe1.unload_textual_inversion()
+        pipe1.load_textual_inversion(ten, token=token)
+        pipe1.unload_textual_inversion()
+
+        final_tokenizer_size = len(pipe1.tokenizer)
+        final_emb_size = len(pipe1.text_encoder.get_input_embeddings().weight)
+        # both should be restored to original size
+        assert final_tokenizer_size == orig_tokenizer_size
+        assert final_emb_size == orig_emb_size
+
     def test_download_ignore_files(self):
         # Check https://huggingface.co/hf-internal-testing/tiny-stable-diffusion-pipe-ignore-files/blob/72f58636e5508a218c6b3f60550dc96445547817/model_index.json#L4
         with tempfile.TemporaryDirectory() as tmpdirname: