Update communityNodes.md (#3873)

Added the Ideal Size node

## What type of PR is this? (check all applicable)

- [ ] Refactor
- [X] Feature
- [ ] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [ ] Community Node Submission


## Have you discussed this change with the InvokeAI team?
- [ ] Yes
- [X] No, because: It's a community node addition

      
## Have you updated all relevant documentation?
- [X] Yes
- [ ] No


## Description

Added a reference to my community node that calculates the ideal size
for initial latent generation that avoids duplication. This is the logic
that was present in 2.3.5's first pass of high-res optimization.

## Related Tickets & Documents

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below. 

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- Related Issue #
- Closes #

## QA Instructions, Screenshots, Recordings

<!-- 
Please provide steps on how to test changes, any hardware or 
software specifications as well as any other pertinent information. 
-->

## Added/updated tests?

- [ ] Yes
- [X] No : This is a documentation change that references my community
node.

## [optional] Are there any post deployment tasks we need to perform?

.github/workflows/mkdocs-material.yml

@@ -2,7 +2,7 @@ name: mkdocs-material
 on:
   push:
     branches:
-      - 'refs/heads/v2.3'
+      - 'refs/heads/main'
 
 permissions:
     contents: write

docs/nodes/communityNodes.md

@@ -14,6 +14,21 @@ The nodes linked below have been developed and contributed by members of the Inv
 
 ## List of Nodes
 
+### Face Mask
+
+**Description:** This node autodetects a face in the image using MediaPipe and masks it by making it transparent. Via outpainting you can swap faces with other faces, or invert the mask and swap things around the face with other things. Additionally, you can supply X and Y offset values to scale/change the shape of the mask for finer control. The node also outputs an all-white mask in the same dimensions as the input image. This is needed by the inpaint node (and unified canvas) for outpainting.
+
+**Node Link:** https://github.com/ymgenesis/InvokeAI/blob/facemaskmediapipe/invokeai/app/invocations/facemask.py
+
+**Example Node Graph:** https://www.mediafire.com/file/gohn5sb1bfp8use/21-July_2023-FaceMask.json/file
+
+**Output Examples** 
+
+![2e3168cb-af6a-475d-bfac-c7b7fd67b4c2](https://github.com/ymgenesis/InvokeAI/assets/25252829/a5ad7d44-2ada-4b3c-a56e-a21f8244a1ac)
+![2_annotated](https://github.com/ymgenesis/InvokeAI/assets/25252829/53416c8a-a23b-4d76-bb6d-3cfd776e0096)
+![2fe2150c-fd08-4e26-8c36-f0610bf441bb](https://github.com/ymgenesis/InvokeAI/assets/25252829/b0f7ecfe-f093-4147-a904-b9f131b41dc9)
+![831b6b98-4f0f-4360-93c8-69a9c1338cbe](https://github.com/ymgenesis/InvokeAI/assets/25252829/fc7b0622-e361-4155-8a76-082894d084f0)
+
 --------------------------------
 ### Super Cool Node Template
 
@@ -27,6 +42,11 @@ The nodes linked below have been developed and contributed by members of the Inv
 
 ![Invoke AI](https://invoke-ai.github.io/InvokeAI/assets/invoke_ai_banner.png)
 
+### Ideal Size
+
+**Description:** This node calculates an ideal image size for a first pass of a multi-pass upscaling. The aim is to avoid duplication that results from choosing a size larger than the model is capable of.
+
+**Node Link:** https://github.com/JPPhoto/ideal-size-node
 
 ## Help
 If you run into any issues with a node, please post in the [InvokeAI Discord](https://discord.gg/ZmtBAhwWhy). 

docs/other/CONTRIBUTORS.md

@@ -17,18 +17,19 @@ We thank them for all of their time and hard work.
 
 * @lstein (Lincoln Stein) - Co-maintainer
 * @blessedcoolant - Co-maintainer
-* @hipsterusername (Kent Keirsey) - Product Manager
-* @psychedelicious - Web Team Leader
-* @keturn (Kevin Turner) - Diffusers
+* @hipsterusername (Kent Keirsey) - Co-maintainer, CEO, Positive Vibes
+* @psychedelicious (Spencer Mabrito) - Web Team Leader
 * @Kyle0654 (Kyle Schouviller) - Node Architect and General Backend Wizard
-* @damian0815 - Attention Systems and Gameplay Engineer
+* @damian0815 - Attention Systems and Compel Maintainer
 * @ebr (Eugene Brodsky) - Cloud/DevOps/Sofware engineer; your friendly neighbourhood cluster-autoscaler
 * @genomancer (Gregg Helt) - Controlnet support
 * @StAlKeR7779 (Sergey Borisov) - Torch stack, ONNX, model management, optimization
-* @cheerio (Mary Hip) - Web development
-* @brandon (Brandon Rising) - OSS/commercial interactions
-* @spencer - Web development
-* @millu (Millun Atluri) - Documentation, GitHub integration
+* @cheerio (Mary Rogers) - Lead Engineer & Web App Development
+* @brandon (Brandon Rising) - Platform, Infrastructure, Backend Systems
+* @ryanjdick (Ryan Dick) - Machine Learning & Training
+* @millu (Millun Atluri) - Community Manager, Documentation, Node-wrangler
+* @chainchompa (Jennifer Player) - Web Development & Chain-Chomping
+* @keturn (Kevin Turner) - Diffusers
 * @gogurt enjoyer - Discord moderator and end user support
 * @whosawhatsis - Discord moderator and end user support
 * @dwinrger - Discord moderator and end user support

invokeai/backend/model_management/__init__.py

@@ -3,6 +3,6 @@ Initialization file for invokeai.backend.model_management
 """
 from .model_manager import ModelManager, ModelInfo, AddModelResult, SchedulerPredictionType
 from .model_cache import ModelCache
-from .models import BaseModelType, ModelType, SubModelType, ModelVariantType, ModelNotFoundException
+from .models import BaseModelType, ModelType, SubModelType, ModelVariantType, ModelNotFoundException, DuplicateModelException
 from .model_merge import ModelMerger, MergeInterpolationMethod
 

invokeai/backend/model_management/model_manager.py

@@ -251,7 +251,9 @@ from .model_search import ModelSearch
 from .models import (
     BaseModelType, ModelType, SubModelType,
     ModelError, SchedulerPredictionType, MODEL_CLASSES,
-    ModelConfigBase, ModelNotFoundException, InvalidModelException,
+    ModelConfigBase,
+    ModelNotFoundException, InvalidModelException,
+    DuplicateModelException,
 )
 
 # We are only starting to number the config file with release 3.
@@ -891,15 +893,18 @@ class ModelManager(object):
                             model_name = model_path.name if model_path.is_dir() else model_path.stem
                             model_key = self.create_key(model_name, cur_base_model, cur_model_type)
 
+                            try:
                                 if model_key in self.models:
-                                raise Exception(f"Model with key {model_key} added twice")
+                                    raise DuplicateModelException(f"Model with key {model_key} added twice")
 
                                 if model_path.is_relative_to(self.app_config.root_path):
                                     model_path = model_path.relative_to(self.app_config.root_path)
-                            try:
+                                    
                                 model_config: ModelConfigBase = model_class.probe_config(str(model_path))
                                 self.models[model_key] = model_config
                                 new_models_found = True
+                            except DuplicateModelException as e:
+                                self.logger.warning(e)
                             except InvalidModelException:
                                 self.logger.warning(f"Not a valid model: {model_path}")
                             except NotImplementedError as e:

invokeai/backend/model_management/models/__init__.py

@@ -2,7 +2,11 @@ import inspect
 from enum import Enum
 from pydantic import BaseModel
 from typing import Literal, get_origin
-from .base import BaseModelType, ModelType, SubModelType, ModelBase, ModelConfigBase, ModelVariantType, SchedulerPredictionType, ModelError, SilenceWarnings, ModelNotFoundException, InvalidModelException
+from .base import (
+    BaseModelType, ModelType, SubModelType, ModelBase, ModelConfigBase,
+    ModelVariantType, SchedulerPredictionType, ModelError, SilenceWarnings,
+    ModelNotFoundException, InvalidModelException, DuplicateModelException
+    )
 from .stable_diffusion import StableDiffusion1Model, StableDiffusion2Model
 from .sdxl import StableDiffusionXLModel
 from .vae import VaeModel

invokeai/backend/model_management/models/base.py

@@ -15,6 +15,9 @@ from contextlib import suppress
 from pydantic import BaseModel, Field
 from typing import List, Dict, Optional, Type, Literal, TypeVar, Generic, Callable, Any, Union
 
+class DuplicateModelException(Exception):
+    pass
+
 class InvalidModelException(Exception):
     pass
 

invokeai/backend/util/mps_fixes.py

@@ -83,7 +83,7 @@ class ChunkedSlicedAttnProcessor:
         self._sliced_attn_processor = _SlicedAttnProcessor(slice_size)
 
     def __call__(self, attn, hidden_states, encoder_hidden_states=None, attention_mask=None):
-        if self.slice_size != 1:
+        if self.slice_size != 1 or attn.upcast_attention:
             return self._sliced_attn_processor(attn, hidden_states, encoder_hidden_states, attention_mask)
 
         residual = hidden_states

scripts/pypi_helper.py

@@ -2,11 +2,10 @@
 
 import requests
 
-from ldm.invoke import __app_name__, __version__
+from invokeai.version import __version__
 
 local_version = str(__version__).replace("-", "")
-package_name = str(__app_name__)
-
+package_name = 'InvokeAI'
 
 def get_pypi_versions(package_name=package_name) -> list[str]:
     """Get the versions of the package from PyPI"""