Merge branch 'main' into fix-optional

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psychedelicious 2023-07-31 16:31:01 +10:00 committed by GitHub
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15 changed files with 229 additions and 219 deletions

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@ -14,20 +14,25 @@ The nodes linked below have been developed and contributed by members of the Inv
## List of Nodes
### Face Mask
### FaceTools
**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.
**Description:** FaceTools is a collection of nodes created to manipulate faces as you would in Unified Canvas. It includes FaceMask, FaceOff, and FacePlace. FaceMask autodetects a face in the image using MediaPipe and creates a mask from it. FaceOff similarly detects a face, then takes the face off of the image by adding a square bounding box around it and cropping/scaling it. FacePlace puts the bounded face image from FaceOff back onto the original image. Using these nodes with other inpainting node(s), you can put new faces on existing things, put new things around existing faces, and work closer with a face as a bounded image. Additionally, you can supply X and Y offset values to scale/change the shape of the mask for finer control on FaceMask and FaceOff. See GitHub repository below for usage examples.
**Node Link:** https://github.com/ymgenesis/InvokeAI/blob/facemaskmediapipe/invokeai/app/invocations/facemask.py
**Node Link:** https://github.com/ymgenesis/FaceTools/
**Example Node Graph:** https://www.mediafire.com/file/gohn5sb1bfp8use/21-July_2023-FaceMask.json/file
**FaceMask Output Examples**
**Output Examples**
![5cc8abce-53b0-487a-b891-3bf94dcc8960](https://github.com/invoke-ai/InvokeAI/assets/25252829/43f36d24-1429-4ab1-bd06-a4bedfe0955e)
![b920b710-1882-49a0-8d02-82dff2cca907](https://github.com/invoke-ai/InvokeAI/assets/25252829/7660c1ed-bf7d-4d0a-947f-1fc1679557ba)
![71a91805-fda5-481c-b380-264665703133](https://github.com/invoke-ai/InvokeAI/assets/25252829/f8f6a2ee-2b68-4482-87da-b90221d5c3e2)
![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)
<hr>
### 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
--------------------------------
### Super Cool Node Template
@ -42,11 +47,5 @@ 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).

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@ -13,7 +13,7 @@ from pathlib import Path
from tempfile import TemporaryDirectory
from typing import Union
SUPPORTED_PYTHON = ">=3.9.0,<3.11"
SUPPORTED_PYTHON = ">=3.9.0,<=3.11.100"
INSTALLER_REQS = ["rich", "semver", "requests", "plumbum", "prompt-toolkit"]
BOOTSTRAP_VENV_PREFIX = "invokeai-installer-tmp"
@ -249,6 +249,9 @@ class InvokeAiInstance:
pip[
"install",
"--require-virtualenv",
"numpy~=1.24.0", # choose versions that won't be uninstalled during phase 2
"urllib3~=1.26.0",
"requests~=2.28.0",
"torch~=2.0.0",
"torchmetrics==0.11.4",
"torchvision>=0.14.1",

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@ -41,7 +41,7 @@ IF /I "%choice%" == "1" (
python .venv\Scripts\invokeai-configure.exe --skip-sd-weight --skip-support-models
) ELSE IF /I "%choice%" == "7" (
echo Running invokeai-configure...
python .venv\Scripts\invokeai-configure.exe --yes --default_only
python .venv\Scripts\invokeai-configure.exe --yes --skip-sd-weight
) ELSE IF /I "%choice%" == "8" (
echo Developer Console
echo Python command is:

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@ -82,7 +82,7 @@ do_choice() {
7)
clear
printf "Re-run the configure script to fix a broken install or to complete a major upgrade\n"
invokeai-configure --root ${INVOKEAI_ROOT} --yes --default_only
invokeai-configure --root ${INVOKEAI_ROOT} --yes --default_only --skip-sd-weights
;;
8)
clear

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@ -274,7 +274,7 @@ class InvokeAISettings(BaseSettings):
@classmethod
def _excluded(self) -> List[str]:
# internal fields that shouldn't be exposed as command line options
return ["type", "initconf"]
return ["type", "initconf", "cached_root"]
@classmethod
def _excluded_from_yaml(self) -> List[str]:
@ -290,6 +290,7 @@ class InvokeAISettings(BaseSettings):
"restore",
"root",
"nsfw_checker",
"cached_root",
]
class Config:
@ -423,6 +424,7 @@ class InvokeAIAppConfig(InvokeAISettings):
log_level : Literal[tuple(["debug","info","warning","error","critical"])] = Field(default="info", description="Emit logging messages at this level or higher", category="Logging")
version : bool = Field(default=False, description="Show InvokeAI version and exit", category="Other")
cached_root : Path = Field(default=None, description="internal use only", category="DEPRECATED")
# fmt: on
def parse_args(self, argv: List[str] = None, conf: DictConfig = None, clobber=False):
@ -470,10 +472,15 @@ class InvokeAIAppConfig(InvokeAISettings):
"""
Path to the runtime root directory
"""
if self.root:
return Path(self.root).expanduser().absolute()
# we cache value of root to protect against it being '.' and the cwd changing
if self.cached_root:
root = self.cached_root
elif self.root:
root = Path(self.root).expanduser().absolute()
else:
return self.find_root()
root = self.find_root()
self.cached_root = root
return self.cached_root
@property
def root_dir(self) -> Path:

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@ -400,7 +400,7 @@ class ModelInstall(object):
attributes.update(dict(config=str(legacy_conf)))
return attributes
def relative_to_root(self, path: Path, root: None) -> Path:
def relative_to_root(self, path: Path, root: Optional[Path] = None) -> Path:
root = root or self.config.root_path
if path.is_relative_to(root):
return path.relative_to(root)

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@ -256,6 +256,7 @@ class addModelsForm(CyclingForm, npyscreen.FormMultiPage):
model_labels = [self.model_labels[x] for x in model_list]
show_recommended = len(self.installed_models) == 0
truncated = False
if len(model_list) > 0:
max_width = max([len(x) for x in model_labels])
columns = window_width // (max_width + 8) # 8 characters for "[x] " and padding
@ -274,10 +275,9 @@ class addModelsForm(CyclingForm, npyscreen.FormMultiPage):
)
)
truncation = False
if len(model_labels) > MAX_OTHER_MODELS:
model_labels = model_labels[0:MAX_OTHER_MODELS]
truncation = True
truncated = True
widgets.update(
models_selected=self.add_widget_intelligent(
@ -297,7 +297,7 @@ class addModelsForm(CyclingForm, npyscreen.FormMultiPage):
models=model_list,
)
if truncation:
if truncated:
widgets.update(
warning_message=self.add_widget_intelligent(
npyscreen.FixedText,
@ -650,7 +650,8 @@ def process_and_execute(
):
# need to reinitialize config in subprocess
config = InvokeAIAppConfig.get_config()
config.parse_args()
args = ["--root", opt.root] if opt.root else []
config.parse_args(args)
# set up so that stderr is sent to conn_out
if conn_out:

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@ -320,7 +320,7 @@ class mergeModelsForm(npyscreen.FormMultiPageAction):
def get_model_names(self, base_model: BaseModelType = None) -> List[str]:
model_names = [
info["name"]
info["model_name"]
for info in self.model_manager.list_models(model_type=ModelType.Main, base_model=base_model)
if info["model_format"] == "diffusers"
]

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@ -12,7 +12,7 @@
margin: 0;
}
</style>
<script type="module" crossorigin src="./assets/index-bad7ff83.js"></script>
<script type="module" crossorigin src="./assets/index-9bb68e3a.js"></script>
</head>
<body dir="ltr">

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@ -1 +1 @@
__version__ = "3.0.1"
__version__ = "3.0.1post3"