tested on 3.11 and 3.10

invokeai/app/invocations/latent.py

@@ -12,7 +12,7 @@ from pydantic import BaseModel, Field, validator
 
 from invokeai.app.invocations.metadata import CoreMetadata
 from invokeai.app.util.step_callback import stable_diffusion_step_callback
-from invokeai.backend.model_management.models.base import ModelType
+from invokeai.backend.model_management.models import ModelType, SilenceWarnings
 
 from ...backend.model_management.lora import ModelPatcher
 from ...backend.stable_diffusion import PipelineIntermediateState
@@ -318,6 +318,7 @@ class TextToLatentsInvocation(BaseInvocation):
 
     @torch.no_grad()
     def invoke(self, context: InvocationContext) -> LatentsOutput:
+        with SilenceWarnings():
             noise = context.services.latents.get(self.noise.latents_name)
 
             # Get the source node id (we are invoking the prepared node)
@@ -411,6 +412,7 @@ class LatentsToLatentsInvocation(TextToLatentsInvocation):
 
     @torch.no_grad()
     def invoke(self, context: InvocationContext) -> LatentsOutput:
+        with SilenceWarnings():  # this quenches NSFW nag from diffusers
             noise = context.services.latents.get(self.noise.latents_name)
             latent = context.services.latents.get(self.latents.latents_name)
 

invokeai/backend/model_management/model_cache.py

@@ -163,7 +163,6 @@ class ModelCache(object):
         submodel: Optional[SubModelType] = None,
         gpu_load: bool = True,
     ) -> Any:
-
         if not isinstance(model_path, Path):
             model_path = Path(model_path)
 

invokeai/backend/model_management/model_manager.py

@@ -391,7 +391,7 @@ class ModelManager(object):
         base_model: BaseModelType,
         model_type: ModelType,
     ) -> str:
-        return f"{base_model}/{model_type}/{model_name}"
+        return f"{base_model.value}/{model_type.value}/{model_name}"
 
     @classmethod
     def parse_key(cls, model_key: str) -> Tuple[str, BaseModelType, ModelType]:

pyproject.toml

@@ -5,7 +5,7 @@ build-backend = "setuptools.build_meta"
 [project]
 name = "InvokeAI"
 description = "An implementation of Stable Diffusion which provides various new features and options to aid the image generation process"
-requires-python = ">=3.9, <3.11"
+requires-python = ">=3.9, <3.12"
 readme = { content-type = "text/markdown", file = "README.md" }
 keywords = ["stable-diffusion", "AI"]
 dynamic = ["version"]
@@ -32,16 +32,16 @@ classifiers = [
   'Topic :: Scientific/Engineering :: Image Processing',
 ]
 dependencies = [
-  "accelerate~=0.16",
+  "accelerate~=0.21.0",
   "albumentations",
   "click",
   "clip_anytorch",  # replacing "clip @ https://github.com/openai/CLIP/archive/eaa22acb90a5876642d0507623e859909230a52d.zip",
-  "compel==2.0.0",
+  "compel~=2.0.0",
   "controlnet-aux>=0.0.6",
   "timm==0.6.13",   # needed to override timm latest in controlnet_aux, see  https://github.com/isl-org/ZoeDepth/issues/26
   "datasets",
-  "diffusers[torch]~=0.18.1",
-  "dnspython==2.2.1",
+  "diffusers[torch]~=0.18.2",
+  "dnspython~=2.4.0",
   "dynamicprompts",
   "easing-functions",
   "einops",
@@ -54,37 +54,37 @@ dependencies = [
   "flask_cors==3.0.10",
   "flask_socketio==5.3.0",
   "flaskwebgui==1.0.3",
-  "gfpgan==1.3.8",
   "huggingface-hub>=0.11.1",
-  "invisible-watermark>=0.2.0", # needed to install SDXL base and refiner using their repo_ids
+  "invisible-watermark~=0.2.0", # needed to install SDXL base and refiner using their repo_ids
   "matplotlib",                 # needed for plotting of Penner easing functions
   "mediapipe",                  # needed for "mediapipeface" controlnet model
   "npyscreen",
-  "numpy<1.24",
+  "numpy==1.24.4",
   "omegaconf",
   "opencv-python",
   "picklescan",
   "pillow",
   "prompt-toolkit",
-  "pympler==1.0.1",
+  "pydantic==1.10.10",
+  "pympler~=1.0.1",
   "pypatchmatch",
   'pyperclip',
   "pyreadline3",
-  "python-multipart==0.0.6",
-  "pytorch-lightning==1.7.7",
+  "python-multipart",
+  "pytorch-lightning",
   "realesrgan",
-  "requests==2.28.2",
+  "requests~=2.28.2",
   "rich~=13.3",
   "safetensors~=0.3.0",
-  "scikit-image>=0.19",
+  "scikit-image~=0.21.0",
   "send2trash",
-  "test-tube>=0.7.5",
-  "torch~=2.0.0",
-  "torchvision>=0.14.1",
-  "torchmetrics==0.11.4",
-  "torchsde==0.2.5",
+  "test-tube~=0.7.5",
+  "torch~=2.0.1",
+  "torchvision~=0.15.2",
+  "torchmetrics~=1.0.1",
+  "torchsde~=0.2.5",
   "transformers~=4.31.0",
-  "uvicorn[standard]==0.21.1",
+  "uvicorn[standard]~=0.21.1",
   "windows-curses; sys_platform=='win32'",
 ]