Merge branch 'main' into bugfix/prevent-cli-crash

invokeai/backend/args.py

@@ -561,7 +561,7 @@ class Args(object):
             "--autoimport",
             default=None,
             type=str,
-            help="Check the indicated directory for .ckpt/.safetensors weights files at startup and import directly",
+            help="(DEPRECATED - NONFUNCTIONAL). Check the indicated directory for .ckpt/.safetensors weights files at startup and import directly",
         )
         model_group.add_argument(
             "--autoconvert",

invokeai/backend/config/model_install_backend.py

@@ -67,7 +67,6 @@ def install_requested_models(
     scan_directory: Path = None,
     external_models: List[str] = None,
     scan_at_startup: bool = False,
-    convert_to_diffusers: bool = False,
     precision: str = "float16",
     purge_deleted: bool = False,
     config_file_path: Path = None,
@@ -113,7 +112,6 @@ def install_requested_models(
             try:
                 model_manager.heuristic_import(
                     path_url_or_repo,
-                    convert=convert_to_diffusers,
                     commit_to_conf=config_file_path,
                 )
             except KeyboardInterrupt:
@@ -122,7 +120,7 @@ def install_requested_models(
                 pass
 
     if scan_at_startup and scan_directory.is_dir():
-        argument = "--autoconvert" if convert_to_diffusers else "--autoimport"
+        argument = "--autoconvert"
         initfile = Path(Globals.root, Globals.initfile)
         replacement = Path(Globals.root, f"{Globals.initfile}.new")
         directory = str(scan_directory).replace("\\", "/")

invokeai/backend/model_management/__init__.py

@@ -8,3 +8,4 @@ from .convert_ckpt_to_diffusers import (
 from .model_manager import ModelManager,SDModelComponent
 
 
+

invokeai/backend/model_management/model_manager.py

@@ -27,6 +27,7 @@ import transformers
 from diffusers import (
     AutoencoderKL,
     UNet2DConditionModel,
+    SchedulerMixin,
     logging as dlogging,
 )    
 from huggingface_hub import scan_cache_dir
@@ -169,7 +170,55 @@ class ModelManager(object):
             "hash": hash,
         }
 
-    def get_sub_model(
+    def get_model_vae(self, model_name: str=None)->AutoencoderKL:
+        """Given a model name identified in models.yaml, load the model into
+        GPU if necessary and return its assigned VAE as an
+        AutoencoderKL object. If no model name is provided, return the
+        vae from the model currently in the GPU.
+        """
+        return self._get_sub_model(model_name, SDModelComponent.vae)
+                                   
+    def get_model_tokenizer(self, model_name: str=None)->CLIPTokenizer:
+        """Given a model name identified in models.yaml, load the model into
+        GPU if necessary and return its assigned CLIPTokenizer. If no
+        model name is provided, return the tokenizer from the model
+        currently in the GPU.
+        """
+        return self._get_sub_model(model_name, SDModelComponent.tokenizer)
+                                   
+    def get_model_unet(self, model_name: str=None)->UNet2DConditionModel:
+        """Given a model name identified in models.yaml, load the model into
+        GPU if necessary and return its assigned UNet2DConditionModel. If no model
+        name is provided, return the UNet from the model
+        currently in the GPU.  
+        """
+        return self._get_sub_model(model_name, SDModelComponent.unet)
+
+    def get_model_text_encoder(self, model_name: str=None)->CLIPTextModel:
+        """Given a model name identified in models.yaml, load the model into
+        GPU if necessary and return its assigned CLIPTextModel. If no
+        model name is provided, return the text encoder from the model
+        currently in the GPU.
+        """
+        return self._get_sub_model(model_name, SDModelComponent.text_encoder)
+
+    def get_model_feature_extractor(self, model_name: str=None)->CLIPFeatureExtractor:
+        """Given a model name identified in models.yaml, load the model into
+        GPU if necessary and return its assigned CLIPFeatureExtractor. If no
+        model name is provided, return the text encoder from the model
+        currently in the GPU.
+        """
+        return self._get_sub_model(model_name, SDModelComponent.feature_extractor)
+
+    def get_model_scheduler(self, model_name: str=None)->SchedulerMixin:
+        """Given a model name identified in models.yaml, load the model into
+        GPU if necessary and return its assigned scheduler. If no
+        model name is provided, return the text encoder from the model
+        currently in the GPU.
+        """
+        return self._get_sub_model(model_name, SDModelComponent.scheduler)
+    
+    def _get_sub_model(
             self,
             model_name: str=None,
             model_part: SDModelComponent=SDModelComponent.vae,
@@ -181,7 +230,7 @@ class ModelManager(object):
         CLIPTextModel,
         StableDiffusionSafetyChecker,
     ]:
-        """Given a model named identified in models.yaml, and the part of the
+        """Given a model name identified in models.yaml, and the part of the
         model you wish to retrieve, return that part. Parts are in an Enum
         class named SDModelComponent, and consist of:
         SDModelComponent.vae
@@ -190,7 +239,7 @@ class ModelManager(object):
         SDModelComponent.unet
         SDModelComponent.scheduler
         SDModelComponent.safety_checker
-        SDModelComponent.feature_etractor
+        SDModelComponent.feature_extractor
         """
         model_dict = self.get_model(model_name)
         model = model_dict["model"]