diff --git a/extensions_built_in/flex2/flex2.py b/extensions_built_in/flex2/flex2.py
index 3340f64a..7bb89506 100644
--- a/extensions_built_in/flex2/flex2.py
+++ b/extensions_built_in/flex2/flex2.py
@@ -424,7 +424,9 @@ class Flex2(BaseModel):
                 if self.random_blur_mask:
                     # blur the mask
                     # Give it a channel dim of 1
-                    inpainting_tensor_mask = inpainting_tensor_mask.unsqueeze(1)
+                    if len(inpainting_tensor_mask.shape) == 3:
+                        # if it is 3d, add a channel dim
+                        inpainting_tensor_mask = inpainting_tensor_mask.unsqueeze(1)
                     # we are at latent size, so keep kernel smaller
                     inpainting_tensor_mask = random_blur(
                         inpainting_tensor_mask,
@@ -432,8 +434,6 @@ class Flex2(BaseModel):
                         max_kernel_size=8,
                         p=0.5
                     )
-                    # remove the channel dim
-                    inpainting_tensor_mask = inpainting_tensor_mask.squeeze(1)
                 
                 do_mask_invert = False
                 if self.invert_inpaint_mask_chance > 0.0:
diff --git a/scripts/update_sponsors.py b/scripts/update_sponsors.py
index 1e3bbf63..d80b4bc1 100644
--- a/scripts/update_sponsors.py
+++ b/scripts/update_sponsors.py
@@ -246,7 +246,7 @@ def generate_readme(supporters):
             f.write("### GitHub Sponsors\n\n")
             for sponsor in github_sponsors:
                 if sponsor['profile_image']:
-                    f.write(f"<a href=\"{sponsor['profile_url']}\" title=\"{sponsor['name']}\"><img src=\"{sponsor['profile_image']}\" width=\"50\" height=\"50\" alt=\"{sponsor['name']}\" style=\"border-radius:50%\"></a> ")
+                    f.write(f"<a href=\"{sponsor['profile_url']}\" title=\"{sponsor['name']}\"><img src=\"{sponsor['profile_image']}\" width=\"50\" height=\"50\" alt=\"{sponsor['name']}\" style=\"border-radius:50%;display:inline-block;\"></a> ")
                 else:
                     f.write(f"[{sponsor['name']}]({sponsor['profile_url']}) ")
             f.write("\n\n")
@@ -257,7 +257,7 @@ def generate_readme(supporters):
             f.write("### Patreon Supporters\n\n")
             for supporter in patreon_supporters:
                 if supporter['profile_image']:
-                    f.write(f"<a href=\"{supporter['profile_url']}\" title=\"{supporter['name']}\"><img src=\"{supporter['profile_image']}\" width=\"50\" height=\"50\" alt=\"{supporter['name']}\" style=\"border-radius:50%\"></a> ")
+                    f.write(f"<a href=\"{supporter['profile_url']}\" title=\"{supporter['name']}\"><img src=\"{supporter['profile_image']}\" width=\"50\" height=\"50\" alt=\"{supporter['name']}\" style=\"border-radius:50%;display:inline-block;\"></a> ")
                 else:
                     f.write(f"[{supporter['name']}]({supporter['profile_url']}) ")
             f.write("\n\n")
diff --git a/toolkit/lora_special.py b/toolkit/lora_special.py
index aa221480..c6691dec 100644
--- a/toolkit/lora_special.py
+++ b/toolkit/lora_special.py
@@ -361,6 +361,10 @@ class LoRASpecialNetwork(ToolkitNetworkMixin, LoRANetwork):
                         if self.transformer_only and is_unet and hasattr(root_module, 'blocks'):
                             if "blocks" not in lora_name:
                                 skip = True
+                        
+                        if self.transformer_only and is_unet and hasattr(root_module, 'single_blocks'):
+                            if "single_blocks" not in lora_name and "double_blocks" not in lora_name:
+                                skip = True
 
                         if (is_linear or is_conv2d) and not skip:
 
diff --git a/toolkit/prompt_utils.py b/toolkit/prompt_utils.py
index 52e15907..eb213cca 100644
--- a/toolkit/prompt_utils.py
+++ b/toolkit/prompt_utils.py
@@ -149,7 +149,12 @@ def concat_prompt_embeds(prompt_embeds: list[PromptEmbeds]):
     pooled_embeds = None
     if prompt_embeds[0].pooled_embeds is not None:
         pooled_embeds = torch.cat([p.pooled_embeds for p in prompt_embeds], dim=0)
-    return PromptEmbeds([text_embeds, pooled_embeds])
+    attention_mask = None
+    if prompt_embeds[0].attention_mask is not None:
+        attention_mask = torch.cat([p.attention_mask for p in prompt_embeds], dim=0)
+    pe = PromptEmbeds([text_embeds, pooled_embeds])
+    pe.attention_mask = attention_mask
+    return pe
 
 
 def concat_prompt_pairs(prompt_pairs: list[EncodedPromptPair]):