Model manager draft

invokeai/backend/__init__.py

@@ -10,7 +10,7 @@ from .generator import (
     Img2Img,
     Inpaint
 )
-from .model_management import ModelManager, ModelCache, ModelStatus, SDModelType, SDModelInfo
+from .model_management import ModelManager, ModelCache, SDModelType, SDModelInfo
 from .safety_checker import SafetyChecker
 from .args import Args
 from .globals import Globals

invokeai/backend/model_management/__init__.py

@@ -2,4 +2,4 @@
 Initialization file for invokeai.backend.model_management
 """
 from .model_manager import ModelManager, SDModelInfo
-from .model_cache import ModelCache, ModelStatus, SDModelType
+from .model_cache import ModelCache, SDModelType

invokeai/backend/model_management/model_manager.py

@@ -15,8 +15,6 @@ return a SDModelInfo object that contains the following attributes:
    * revision -- revision of the model if coming from a repo id,
                 e.g. 'fp16'
    * precision -- torch precision of the model
-   * status -- a ModelStatus enum corresponding to one of
-               'not_loaded', 'in_ram', 'in_vram' or 'active'
 
 Typical usage:
 
@@ -157,8 +155,8 @@ from invokeai.backend.globals import (Globals, global_cache_dir,
 from invokeai.backend.util import download_with_resume
 
 from ..util import CUDA_DEVICE
-from .model_cache import (ModelCache, ModelLocker, ModelStatus, SDModelType,
+from .model_cache import (ModelCache, ModelLocker, SDModelType,
-                          SilenceWarnings, DIFFUSERS_PARTS)
+                          SilenceWarnings)
 
 # We are only starting to number the config file with release 3.
 # The config file version doesn't have to start at release version, but it will help
@@ -174,7 +172,6 @@ class SDModelInfo():
     hash: str
     location: Union[Path,str]
     precision: torch.dtype
-    subfolder: Path = None
     revision: str = None
     _cache: ModelCache = None
 
@@ -183,17 +180,6 @@ class SDModelInfo():
 
     def __exit__(self,*args, **kwargs):
         self.context.__exit__(*args, **kwargs)
-        
-    @property
-    def status(self)->ModelStatus:
-        '''Return load status of this model as a model_cache.ModelStatus enum'''
-        if not self._cache:
-            return ModelStatus.unknown
-        return self._cache.status(
-            self.location,
-            revision = self.revision,
-            subfolder = self.subfolder
-        )
 
 class InvalidModelError(Exception):
     "Raised when an invalid model is requested"
@@ -355,7 +341,6 @@ class ModelManager(object):
                 or global_resolve_path(mconfig.get('weights')
             )
         
-        subfolder = mconfig.get('subfolder')
         revision = mconfig.get('revision')
         hash = self.cache.model_hash(location, revision)
 
@@ -367,31 +352,18 @@ class ModelManager(object):
             model_type = submodel
             submodel = None
 
-        # We don't need to load whole model if the user is asking for just a piece of it
-        elif model_type == SDModelType.Diffusers and submodel and not subfolder:
-            model_type = submodel
-            subfolder = submodel.value
-            submodel = None
-
         # to support the traditional way of attaching a VAE
         # to a model, we hacked in `attach_model_part`
-        # TODO: generalize this
+        # TODO:
-        external_parts = set()
+        if model_type == SDModelType.Vae and "vae" in mconfig:
-        if model_type == SDModelType.Diffusers:
+            print("NOT_IMPLEMENTED - RETURN CUSTOM VAE")
-            for part in DIFFUSERS_PARTS:
+
-                with suppress(Exception):
-                    if part_config := mconfig.get(part):
-                        id = part_config.get('path') or part_config.get('repo_id')
-                        subfolder = part_config.get('subfolder')
-                        external_parts.add((part, id, subfolder))
 
         model_context = self.cache.get_model(
             location,
             model_type = model_type,
             revision = revision,
-            subfolder = subfolder,
             submodel = submodel,
-            attach_model_parts = external_parts,
         )
 
         # in case we need to communicate information about this
@@ -407,7 +379,6 @@ class ModelManager(object):
             location = location,
             revision = revision,
             precision = self.cache.precision,
-            subfolder = subfolder,
             _cache = self.cache
         )
 
@@ -513,18 +484,13 @@ class ModelManager(object):
             model_format = stanza.get('format')
 
             # Common Attribs
-            status = self.cache.status(
-                stanza.get('weights') or stanza.get('repo_id'),
-                revision=stanza.get('revision'),
-                subfolder=stanza.get('subfolder'),
-            )
             description = stanza.get("description", None)
             models[stanza_type][model_name].update(
                 model_name=model_name,
                 model_type=stanza_type,
                 format=model_format,
                 description=description,
-                status=status.value,
+                status="unknown", # TODO: no more status as model loaded separately
             )
 
             # Checkpoint Config Parse

invokeai/frontend/web/src/services/thunks/model.ts

@@ -14,7 +14,7 @@ export const receivedModels = createAppAsyncThunk(
     const response = await ModelsService.listModels();
 
     const deserializedModels = reduce(
-      response.models,
+      response.models['diffusers'],
       (modelsAccumulator, model, modelName) => {
         modelsAccumulator[modelName] = { ...model, name: modelName };
 
@@ -23,7 +23,10 @@ export const receivedModels = createAppAsyncThunk(
       {} as Record<string, Model>
     );
 
-    models.info({ response }, `Received ${size(response.models)} models`);
+    models.info(
+      { response },
+      `Received ${size(response.models['diffusers'])} models`
+    );
 
     return deserializedModels;
   }