diff --git a/README.md b/README.md
index 685bb50..b44d912 100644
--- a/README.md
+++ b/README.md
@@ -13,6 +13,9 @@ ControlNet preprocessors are available through [comfyui_controlnet_aux](https://
   - uncond_multiplier=0.0 gives identical results of auto1111's feature, but values between 0.0 and 1.0 can be used without issue to granularly control the setting.
 - ControlNet, T2IAdapter, and ControlLoRA support for sliding context windows
 - ControlLLLite support
+- ControlNet++ support
+- CtrLoRA support
+  - Relevant models linked on [CtrLoRA github page](https://github.com/xyfJASON/ctrlora)
 - SparseCtrl support
 - SVD-ControlNet support
   - Stable Video Diffusion ControlNets trained by **CiaraRowles**: [Depth](https://huggingface.co/CiaraRowles/temporal-controlnet-depth-svd-v1/tree/main/controlnet), [Lineart](https://huggingface.co/CiaraRowles/temporal-controlnet-lineart-svd-v1/tree/main/controlnet)  
diff --git a/adv_control/control_ctrlora.py b/adv_control/control_ctrlora.py
index 03e192f..5b3fbf4 100644
--- a/adv_control/control_ctrlora.py
+++ b/adv_control/control_ctrlora.py
@@ -1,3 +1,5 @@
+# Core code adapted from CtrLoRA github repo:
+# https://github.com/xyfJASON/ctrlora
 import torch
 from torch import Tensor
 
diff --git a/adv_control/nodes_ctrlora.py b/adv_control/nodes_ctrlora.py
index 261dde4..d0b154f 100644
--- a/adv_control/nodes_ctrlora.py
+++ b/adv_control/nodes_ctrlora.py
@@ -16,7 +16,7 @@ class CtrLoRALoader:
     RETURN_TYPES = ("CONTROL_NET",)
     FUNCTION = "load_controlnet_plusplus"
 
-    CATEGORY = "Adv-ControlNet 🛂🅐🅒🅝/ControlNet++"
+    CATEGORY = "Adv-ControlNet 🛂🅐🅒🅝/CtrLoRA"
 
     def load_controlnet_plusplus(self, base: str, lora: str):
         base_path = folder_paths.get_full_path("controlnet", base)
diff --git a/pyproject.toml b/pyproject.toml
index fd34dab..e166b84 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-advanced-controlnet"
 description = "Nodes for scheduling ControlNet strength across timesteps and batched latents, as well as applying custom weights and attention masks."
-version = "1.4.1"
+version = "1.4.2"
 license = { file = "LICENSE" }
 dependencies = []