a few adjustments

- fix unused variables and f-strings found by pyflakes
- use global_converted_ckpts_dir() to find location of diffusers
- fixed bug in model_manager that was causing the description of converted
  models to read "Optimized version of {model_name}'

invokeai/backend/invoke_ai_web_server.py

@@ -28,7 +28,7 @@ from ldm.invoke.args import Args, APP_ID, APP_VERSION, calculate_init_img_hash
 from ldm.invoke.conditioning import get_tokens_for_prompt, get_prompt_structure
 from ldm.invoke.generator.diffusers_pipeline import PipelineIntermediateState
 from ldm.invoke.generator.inpaint import infill_methods
-from ldm.invoke.globals import Globals
+from ldm.invoke.globals import Globals, global_converted_ckpts_dir
 from ldm.invoke.pngwriter import PngWriter, retrieve_metadata
 from ldm.invoke.prompt_parser import split_weighted_subprompts, Blend
 
@@ -294,7 +294,7 @@ class InvokeAIWebServer:
     def load_socketio_listeners(self, socketio):
         @socketio.on("requestSystemConfig")
         def handle_request_capabilities():
-            print(f">> System config requested")
+            print(">> System config requested")
             config = self.get_system_config()
             config["model_list"] = self.generate.model_manager.list_models()
             config["infill_methods"] = infill_methods()
@@ -428,7 +428,7 @@ class InvokeAIWebServer:
                 )
 
                 if model_to_convert['save_location'] == 'root':
-                    diffusers_path = Path(Globals.root, 'models', 'converted_ckpts', f'{model_name}_diffusers')
+                    diffusers_path = Path(global_converted_ckpts_dir(), f'{model_name}_diffusers')
                 
                 if model_to_convert['save_location'] == 'custom' and model_to_convert['custom_location'] is not None:
                     diffusers_path = Path(model_to_convert['custom_location'], f'{model_name}_diffusers')
@@ -737,7 +737,7 @@ class InvokeAIWebServer:
 
                 try:
                     seed = original_image["metadata"]["image"]["seed"]
-                except (KeyError) as e:
+                except KeyError:
                     seed = "unknown_seed"
                     pass
 
@@ -837,7 +837,7 @@ class InvokeAIWebServer:
 
         @socketio.on("cancel")
         def handle_cancel():
-            print(f">> Cancel processing requested")
+            print(">> Cancel processing requested")
             self.canceled.set()
 
         # TODO: I think this needs a safety mechanism.
@@ -919,9 +919,6 @@ class InvokeAIWebServer:
                 So we need to convert each into a PIL Image.
                 """
 
-                truncated_outpaint_image_b64 = generation_parameters["init_img"][:64]
-                truncated_outpaint_mask_b64 = generation_parameters["init_mask"][:64]
-
                 init_img_url = generation_parameters["init_img"]
 
                 original_bounding_box = generation_parameters["bounding_box"].copy(
@@ -1096,7 +1093,6 @@ class InvokeAIWebServer:
                 nonlocal facetool_parameters
                 nonlocal progress
 
-                step_index = 1
                 nonlocal prior_variations
 
                 """
@@ -1518,7 +1514,7 @@ class InvokeAIWebServer:
             if step_index:
                 filename += f".{step_index}"
             if postprocessing:
-                filename += f".postprocessed"
+                filename += ".postprocessed"
 
             filename += ".png"
 

ldm/invoke/globals.py

@@ -33,7 +33,7 @@ Globals.models_file = 'models.yaml'
 Globals.models_dir = 'models'
 Globals.config_dir = 'configs'
 Globals.autoscan_dir = 'weights'
-Globals.converted_ckpts_dir = 'converted-ckpts'
+Globals.converted_ckpts_dir = 'converted_ckpts'
 
 # Try loading patchmatch
 Globals.try_patchmatch = True
@@ -66,6 +66,9 @@ def global_models_dir()->Path:
 def global_autoscan_dir()->Path:
     return Path(Globals.root, Globals.autoscan_dir)
 
+def global_converted_ckpts_dir()->Path:
+    return Path(global_models_dir(), Globals.converted_ckpts_dir)
+
 def global_set_root(root_dir:Union[str,Path]):
     Globals.root = root_dir
 

ldm/invoke/model_manager.py

@@ -759,7 +759,7 @@ class ModelManager(object):
             return
 
         model_name = model_name or diffusers_path.name
-        model_description = model_description or "Optimized version of {model_name}"
+        model_description = model_description or f"Optimized version of {model_name}"
         print(f">> Optimizing {model_name} (30-60s)")
         try:
             # By passing the specified VAE too the conversion function, the autoencoder