diff --git a/modules/prompt_parser_diffusers.py b/modules/prompt_parser_diffusers.py
index b212d08a6..167d33b53 100644
--- a/modules/prompt_parser_diffusers.py
+++ b/modules/prompt_parser_diffusers.py
@@ -389,7 +389,7 @@ def get_weighted_text_embeddings(pipe, prompt: str = "", neg_prompt: str = "", c
             except Exception:
                 pooled_prompt_embeds = None
                 negative_pooled_prompt_embeds = None
-        debug(f'Prompt: pooled shape={pooled_prompt_embeds[0].shape} time={(time.time() - t0):.3f}')
+        debug(f'Prompt: pooled shape={pooled_prompt_embeds[0].shape if pooled_prompt_embeds is not None else None} time={(time.time() - t0):.3f}')
 
     prompt_embeds = torch.cat(prompt_embeds, dim=-1) if len(prompt_embeds) > 1 else prompt_embeds[0]
     negative_prompt_embeds = torch.cat(negative_prompt_embeds, dim=-1) if len(negative_prompt_embeds) > 1 else \
diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py
index 0a067ef03..21e472ec2 100644
--- a/modules/textual_inversion/textual_inversion.py
+++ b/modules/textual_inversion/textual_inversion.py
@@ -140,6 +140,8 @@ def insert_vectors(embedding, tokenizers, text_encoders, hiddensizes):
     this may cause collisions.
     """
     for vector, size in zip(embedding.vec, embedding.vector_sizes):
+        if size not in hiddensizes:
+            continue
         idx = hiddensizes.index(size)
         unk_token_id = tokenizers[idx].convert_tokens_to_ids(tokenizers[idx].unk_token)
         if text_encoders[idx].get_input_embeddings().weight.data.shape[0] != len(tokenizers[idx]):