diff --git a/README.md b/README.md
index 5125bad14..dc2389266 100644
--- a/README.md
+++ b/README.md
@@ -433,7 +433,7 @@ See also: [https://www.comfy.org/](https://www.comfy.org/)
 
 ## Frontend Development
 
-As of August 15, 2024, we have transitioned to a new frontend, which is now hosted in a separate repository: [ComfyUI Frontend](https://github.com/Comfy-Org/ComfyUI_frontend). This repository now hosts the compiled JS (from TS/Vue) under the `web/` directory.
+As of August 15, 2024, we have transitioned to a new frontend, which is now hosted in a separate repository: [ComfyUI Frontend](https://github.com/Comfy-Org/ComfyUI_frontend). The compiled JS files (from TS/Vue) are published to [pypi](https://pypi.org/project/comfyui-frontend-package) and installed as a dependency in ComfyUI.
 
 ### Reporting Issues and Requesting Features
 
diff --git a/comfy/ldm/modules/attention.py b/comfy/ldm/modules/attention.py
index a68cb8439..55360535a 100644
--- a/comfy/ldm/modules/attention.py
+++ b/comfy/ldm/modules/attention.py
@@ -741,12 +741,12 @@ optimized_attention = attention_basic
 if model_management.sage_attention_enabled():
     logging.info("Using sage attention")
     optimized_attention = attention_sage
-elif model_management.xformers_enabled():
-    logging.info("Using xformers attention")
-    optimized_attention = attention_xformers
 elif model_management.flash_attention_enabled():
     logging.info("Using Flash Attention")
     optimized_attention = attention_flash
+elif model_management.xformers_enabled():
+    logging.info("Using xformers attention")
+    optimized_attention = attention_xformers
 elif model_management.pytorch_attention_enabled():
     logging.info("Using pytorch attention")
     optimized_attention = attention_pytorch
diff --git a/comfy/samplers.py b/comfy/samplers.py
index 0a4d062db..c5e36ff05 100755
--- a/comfy/samplers.py
+++ b/comfy/samplers.py
@@ -265,7 +265,6 @@ def _calc_cond_batch(model: BaseModel, conds: list[list[dict]], x_in: torch.Tens
                 input_shape = [len(batch_amount) * first_shape[0]] + list(first_shape)[1:]
                 cond_shapes = collections.defaultdict(list)
                 for tt in batch_amount:
-                    cond = {k: v.size() for k, v in to_run[tt][0].conditioning.items()}
                     for k, v in to_run[tt][0].conditioning.items():
                         cond_shapes[k].append(v.size())
 
diff --git a/requirements.txt b/requirements.txt
index e20b6e044..b70c21e1e 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,4 +1,4 @@
-comfyui-frontend-package==1.43.18
+comfyui-frontend-package==1.44.19
 comfyui-workflow-templates==0.9.82
 comfyui-embedded-docs==0.5.0
 torch