change workflow to deploy from v2.3 branch

Fixes #3228, where the check to see if invokeai is running fails because
a process no longer exists.

.github/workflows/mkdocs-material.yml

@@ -41,7 +41,7 @@ jobs:
             --verbose
 
       - name: deploy to gh-pages
-        if: ${{ github.ref == 'refs/heads/main' }}
+        if: ${{ github.ref == 'refs/heads/v2.3' }}
         run: |
           python -m \
             mkdocs gh-deploy \

ldm/invoke/_version.py

@@ -1 +1 @@
-__version__='2.3.5-rc2'
+__version__='2.3.5'

ldm/invoke/config/invokeai_update.py

@@ -39,7 +39,7 @@ def invokeai_is_running()->bool:
             if matches:
                 print(f':exclamation: [bold red]An InvokeAI instance appears to be running as process {p.pid}[/red bold]')
                 return True
-        except psutil.AccessDenied:
+        except (psutil.AccessDenied,psutil.NoSuchProcess):
             continue
     return False
         

ldm/modules/kohya_lora_manager.py

@@ -456,11 +456,8 @@ class LoRA:
 
 
 class KohyaLoraManager:
-    lora_path = None
-    vector_length_cache_path = None
     
     def __init__(self, pipe):
-        self.lora_path = Path(global_lora_models_dir())
         self.vector_length_cache_path = self.lora_path / '.vectorlength.cache'
         self.unet = pipe.unet
         self.wrapper = LoRAModuleWrapper(pipe.unet, pipe.text_encoder)
@@ -468,6 +465,16 @@ class KohyaLoraManager:
         self.device = torch.device(choose_torch_device())
         self.dtype = pipe.unet.dtype
 
+    @classmethod
+    @property
+    def lora_path(cls)->Path:
+        return Path(global_lora_models_dir())
+
+    @classmethod
+    @property
+    def vector_length_cache_path(cls)->Path:
+        return cls.lora_path / '.vectorlength.cache'        
+
     def load_lora_module(self, name, path_file, multiplier: float = 1.0):
         print(f"   | Found lora {name} at {path_file}")
         if path_file.suffix == ".safetensors":
@@ -568,7 +575,6 @@ class KohyaLoraManager:
 class LoraVectorLengthCache(object):
     def __init__(self, cache_path: Path):
         self.cache_path = cache_path
-        print(f'DEBUG: lock path = {Path(cache_path.parent, ".cachelock")}')
         self.lock = FileLock(Path(cache_path.parent, ".cachelock"))
         self.cache = {}