fix bug when there are two multi vector TI in a prompt (#5356)

## What type of PR is this? (check all applicable)

- [ ] Refactor
- [ ] Feature
- [X] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [ ] Community Node Submission


## Have you discussed this change with the InvokeAI team?
- [ ] Yes
- [X] No, because: it's a simple fix

      
## Have you updated all relevant documentation?
- [X] Yes
- [ ] No


## Description
if there are two multi vector TI in a prompt eg `<ti-1> <ti-2>` with
ti-1 has vector size 16 and ti-2 has vector size 8 then the second one
uses the first ti_embedding.shape[0] and you get errors like eg
"<ti-2-!pad-8> is not found" because ti-2 only has vector size 8 but the
code is taking the wrong ti_embedding.shape[0]

## Related Tickets & Documents

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## QA Instructions, Screenshots, Recordings

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## Added/updated tests?

- [ ] Yes
- [ ] No : _please replace this line with details on why tests
      have not been included_

## [optional] Are there any post deployment tasks we need to perform?

invokeai/backend/model_management/lora.py

@@ -215,7 +215,9 @@ class ModelPatcher:
             text_encoder.resize_token_embeddings(init_tokens_count + new_tokens_added, pad_to_multiple_of)
             model_embeddings = text_encoder.get_input_embeddings()
 
-            for ti_name, _ in ti_list:
+            for ti_name, ti in ti_list:
+                ti_embedding = _get_ti_embedding(text_encoder.get_input_embeddings(), ti)
+
                 ti_tokens = []
                 for i in range(ti_embedding.shape[0]):
                     embedding = ti_embedding[i]