diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index f42d99e9bf..a7bbfb23e2 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -1,9 +1,7 @@
 from __future__ import annotations
 
-import dataclasses
-import inspect
 from contextlib import nullcontext
-from dataclasses import dataclass, field
+from dataclasses import dataclass
 from typing import Any, Callable, List, Optional, Union
 
 import einops
diff --git a/invokeai/backend/stable_diffusion/diffusion/conditioning_data.py b/invokeai/backend/stable_diffusion/diffusion/conditioning_data.py
index 083d925899..a8398e58ff 100644
--- a/invokeai/backend/stable_diffusion/diffusion/conditioning_data.py
+++ b/invokeai/backend/stable_diffusion/diffusion/conditioning_data.py
@@ -55,11 +55,11 @@ class PostprocessingSettings:
 class IPAdapterConditioningInfo:
     cond_image_prompt_embeds: torch.Tensor
     """IP-Adapter image encoder conditioning embeddings.
-    Shape: (batch_size, num_tokens, encoding_dim). Typically: (1, 4, 1024) TODO(ryand): confirm 
+    Shape: (batch_size, num_tokens, encoding_dim).
     """
     uncond_image_prompt_embeds: torch.Tensor
     """IP-Adapter image encoding embeddings to use for unconditional generation.
-     Shape: (batch_size, num_tokens, encoding_dim). Typically: (1, 4, 1024) TODO(ryand): confirm 
+    Shape: (batch_size, num_tokens, encoding_dim).
     """