mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
Merge branch 'main' into fix/long_tensors_mps
This commit is contained in:
Lincoln Stein
GitHub
commit
5962d96f27
59
README.md
59
README.md
@ -36,15 +36,6 @@
|
||||
|
||||
</div>
|
||||
|
||||
_**Note: This is an alpha release. Bugs are expected and not all
|
||||
features are fully implemented. Please use the GitHub [Issues
|
||||
pages](https://github.com/invoke-ai/InvokeAI/issues?q=is%3Aissue+is%3Aopen)
|
||||
to report unexpected problems. Also note that InvokeAI root directory
|
||||
which contains models, outputs and configuration files, has changed
|
||||
between the 2.x and 3.x release. If you wish to use your v2.3 root
|
||||
directory with v3.0, please follow the directions in [Migrating a 2.3
|
||||
root directory to 3.0](#migrating-to-3).**_
|
||||
|
||||
InvokeAI is a leading creative engine built to empower professionals
|
||||
and enthusiasts alike. Generate and create stunning visual media using
|
||||
the latest AI-driven technologies. InvokeAI offers an industry leading
|
||||
@ -264,19 +255,24 @@ old models directory (which contains the models selected at install
|
||||
time) will be renamed `models.orig` and can be deleted once you have
|
||||
confirmed that the migration was successful.
|
||||
|
||||
If you wish, you can pass the 2.3 root directory to both `--from` and
|
||||
`--to` in order to update in place. Warning: this directory will no
|
||||
longer be usable with InvokeAI 2.3.
|
||||
|
||||
#### Migrating in place
|
||||
|
||||
For the adventurous, you may do an in-place upgrade from 2.3 to 3.0
|
||||
without touching the command line. The recipe is as follows>
|
||||
without touching the command line. ***This recipe does not work on
|
||||
Windows platforms due to a bug in the Windows version of the 2.3
|
||||
upgrade script.** See the next section for a Windows recipe.
|
||||
|
||||
##### For Mac and Linux Users:
|
||||
|
||||
1. Launch the InvokeAI launcher script in your current v2.3 root directory.
|
||||
|
||||
2. Select option [9] "Update InvokeAI" to bring up the updater dialog.
|
||||
|
||||
3a. During the alpha release phase, select option [3] and manually
|
||||
enter the tag name `v3.0.0+a2`.
|
||||
|
||||
3b. Once 3.0 is released, select option [1] to upgrade to the latest release.
|
||||
3. Select option [1] to upgrade to the latest release.
|
||||
|
||||
4. Once the upgrade is finished you will be returned to the launcher
|
||||
menu. Select option [7] "Re-run the configure script to fix a broken
|
||||
@ -295,14 +291,33 @@ worked, you can safely remove these files. Alternatively you can
|
||||
restore a working v2.3 directory by removing the new files and
|
||||
restoring the ".orig" files' original names.
|
||||
|
||||
##### For Windows Users:
|
||||
|
||||
Windows Users can upgrade with the
|
||||
|
||||
1. Enter the 2.3 root directory you wish to upgrade
|
||||
2. Launch `invoke.sh` or `invoke.bat`
|
||||
3. Select the "Developer's console" option [8]
|
||||
4. Type the following commands
|
||||
|
||||
```
|
||||
pip install "invokeai @ https://github.com/invoke-ai/InvokeAI/archive/refs/tags/v3.0.0" --use-pep517 --upgrade
|
||||
invokeai-configure --root .
|
||||
```
|
||||
(Replace `v3.0.0` with the current release number if this document is out of date).
|
||||
|
||||
The first command will install and upgrade new software to run
|
||||
InvokeAI. The second will prepare the 2.3 directory for use with 3.0.
|
||||
You may now launch the WebUI in the usual way, by selecting option [1]
|
||||
from the launcher script
|
||||
|
||||
#### Migration Caveats
|
||||
|
||||
The migration script will migrate your invokeai settings and models,
|
||||
including textual inversion models, LoRAs and merges that you may have
|
||||
installed previously. However it does **not** migrate the generated
|
||||
images stored in your 2.3-format outputs directory. The released
|
||||
version of 3.0 is expected to have an interface for importing an
|
||||
entire directory of image files as a batch.
|
||||
images stored in your 2.3-format outputs directory. You will need to
|
||||
manually import selected images into the 3.0 gallery via drag-and-drop.
|
||||
|
||||
## Hardware Requirements
|
||||
|
||||
@ -314,9 +329,12 @@ AMD card (using the ROCm driver).
|
||||
|
||||
You will need one of the following:
|
||||
|
||||
- An NVIDIA-based graphics card with 4 GB or more VRAM memory.
|
||||
- An NVIDIA-based graphics card with 4 GB or more VRAM memory. 6-8 GB
|
||||
of VRAM is highly recommended for rendering using the Stable
|
||||
Diffusion XL models
|
||||
- An Apple computer with an M1 chip.
|
||||
- An AMD-based graphics card with 4GB or more VRAM memory. (Linux only)
|
||||
- An AMD-based graphics card with 4GB or more VRAM memory (Linux
|
||||
only), 6-8 GB for XL rendering.
|
||||
|
||||
We do not recommend the GTX 1650 or 1660 series video cards. They are
|
||||
unable to run in half-precision mode and do not have sufficient VRAM
|
||||
@ -349,13 +367,12 @@ Invoke AI provides an organized gallery system for easily storing, accessing, an
|
||||
### Other features
|
||||
|
||||
- *Support for both ckpt and diffusers models*
|
||||
- *SD 2.0, 2.1 support*
|
||||
- *SD 2.0, 2.1, XL support*
|
||||
- *Upscaling Tools*
|
||||
- *Embedding Manager & Support*
|
||||
- *Model Manager & Support*
|
||||
- *Node-Based Architecture*
|
||||
- *Node-Based Plug-&-Play UI (Beta)*
|
||||
- *SDXL Support* (Coming soon)
|
||||
|
||||
### Latest Changes
|
||||
|
||||
|
||||
1
docs/assets/sdxl-graphs/sdxl-base-example1.json
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1
docs/assets/sdxl-graphs/sdxl-base-example1.json
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1
docs/assets/sdxl-graphs/sdxl-base-refine-example1.json
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1
docs/assets/sdxl-graphs/sdxl-base-refine-example1.json
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@ -58,7 +58,8 @@ class ApiDependencies:
|
||||
|
||||
@staticmethod
|
||||
def initialize(config: InvokeAIAppConfig, event_handler_id: int, logger: Logger = logger):
|
||||
logger.debug(f"InvokeAI version {__version__}")
|
||||
logger.info(f"InvokeAI version {__version__}")
|
||||
logger.info(f"Root directory = {str(config.root_path)}")
|
||||
logger.debug(f"Internet connectivity is {config.internet_available}")
|
||||
|
||||
events = FastAPIEventService(event_handler_id)
|
||||
|
||||
@ -374,16 +374,16 @@ setting environment variables INVOKEAI_<setting>.
|
||||
max_cache_size : float = Field(default=6.0, gt=0, description="Maximum memory amount used by model cache for rapid switching", category='Memory/Performance')
|
||||
max_vram_cache_size : float = Field(default=2.75, ge=0, description="Amount of VRAM reserved for model storage", category='Memory/Performance')
|
||||
gpu_mem_reserved : float = Field(default=2.75, ge=0, description="DEPRECATED: use max_vram_cache_size. Amount of VRAM reserved for model storage", category='DEPRECATED')
|
||||
precision : Literal[tuple(['auto','float16','float32','autocast'])] = Field(default='float16',description='Floating point precision', category='Memory/Performance')
|
||||
precision : Literal[tuple(['auto','float16','float32','autocast'])] = Field(default='auto',description='Floating point precision', category='Memory/Performance')
|
||||
sequential_guidance : bool = Field(default=False, description="Whether to calculate guidance in serial instead of in parallel, lowering memory requirements", category='Memory/Performance')
|
||||
xformers_enabled : bool = Field(default=True, description="Enable/disable memory-efficient attention", category='Memory/Performance')
|
||||
tiled_decode : bool = Field(default=False, description="Whether to enable tiled VAE decode (reduces memory consumption with some performance penalty)", category='Memory/Performance')
|
||||
|
||||
root : Path = Field(default=_find_root(), description='InvokeAI runtime root directory', category='Paths')
|
||||
autoimport_dir : Path = Field(default='autoimport/main', description='Path to a directory of models files to be imported on startup.', category='Paths')
|
||||
lora_dir : Path = Field(default='autoimport/lora', description='Path to a directory of LoRA/LyCORIS models to be imported on startup.', category='Paths')
|
||||
embedding_dir : Path = Field(default='autoimport/embedding', description='Path to a directory of Textual Inversion embeddings to be imported on startup.', category='Paths')
|
||||
controlnet_dir : Path = Field(default='autoimport/controlnet', description='Path to a directory of ControlNet embeddings to be imported on startup.', category='Paths')
|
||||
autoimport_dir : Path = Field(default='autoimport', description='Path to a directory of models files to be imported on startup.', category='Paths')
|
||||
lora_dir : Path = Field(default=None, description='Path to a directory of LoRA/LyCORIS models to be imported on startup.', category='Paths')
|
||||
embedding_dir : Path = Field(default=None, description='Path to a directory of Textual Inversion embeddings to be imported on startup.', category='Paths')
|
||||
controlnet_dir : Path = Field(default=None, description='Path to a directory of ControlNet embeddings to be imported on startup.', category='Paths')
|
||||
conf_path : Path = Field(default='configs/models.yaml', description='Path to models definition file', category='Paths')
|
||||
models_dir : Path = Field(default='models', description='Path to the models directory', category='Paths')
|
||||
legacy_conf_dir : Path = Field(default='configs/stable-diffusion', description='Path to directory of legacy checkpoint config files', category='Paths')
|
||||
@ -397,7 +397,7 @@ setting environment variables INVOKEAI_<setting>.
|
||||
log_handlers : List[str] = Field(default=["console"], description='Log handler. Valid options are "console", "file=<path>", "syslog=path|address:host:port", "http=<url>"', category="Logging")
|
||||
# note - would be better to read the log_format values from logging.py, but this creates circular dependencies issues
|
||||
log_format : Literal[tuple(['plain','color','syslog','legacy'])] = Field(default="color", description='Log format. Use "plain" for text-only, "color" for colorized output, "legacy" for 2.3-style logging and "syslog" for syslog-style', category="Logging")
|
||||
log_level : Literal[tuple(["debug","info","warning","error","critical"])] = Field(default="debug", description="Emit logging messages at this level or higher", category="Logging")
|
||||
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")
|
||||
#fmt: on
|
||||
|
||||
@ -299,10 +299,11 @@ class ModelManagerService(ModelManagerServiceBase):
|
||||
else:
|
||||
config_file = config.root_dir / "configs/models.yaml"
|
||||
|
||||
logger.debug(f'config file={config_file}')
|
||||
logger.debug(f'Config file={config_file}')
|
||||
|
||||
device = torch.device(choose_torch_device())
|
||||
logger.debug(f'GPU device = {device}')
|
||||
device_name = torch.cuda.get_device_name() if device==torch.device('cuda') else ''
|
||||
logger.info(f'GPU device = {device} {device_name}')
|
||||
|
||||
precision = config.precision
|
||||
if precision == "auto":
|
||||
|
||||
@ -23,6 +23,7 @@ from urllib import request
|
||||
|
||||
import npyscreen
|
||||
import transformers
|
||||
import omegaconf
|
||||
from diffusers import AutoencoderKL
|
||||
from diffusers.pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker
|
||||
from huggingface_hub import HfFolder
|
||||
@ -44,6 +45,7 @@ from invokeai.backend.util.logging import InvokeAILogger
|
||||
from invokeai.frontend.install.model_install import addModelsForm, process_and_execute
|
||||
from invokeai.frontend.install.widgets import (
|
||||
CenteredButtonPress,
|
||||
FileBox,
|
||||
IntTitleSlider,
|
||||
set_min_terminal_size,
|
||||
CyclingForm,
|
||||
@ -409,21 +411,21 @@ Use cursor arrows to make a checkbox selection, and space to toggle.
|
||||
self.nextrely += 1
|
||||
self.add_widget_intelligent(
|
||||
npyscreen.FixedText,
|
||||
value="Directories containing textual inversion, controlnet and LoRA models (<tab> autocompletes, ctrl-N advances):",
|
||||
value="Folder to recursively scan for new checkpoints, ControlNets, LoRAs and TI models (<tab> autocompletes, ctrl-N advances):",
|
||||
editable=False,
|
||||
color="CONTROL",
|
||||
)
|
||||
self.autoimport_dirs = {}
|
||||
for description, config_name, path in autoimport_paths(old_opts):
|
||||
self.autoimport_dirs[config_name] = self.add_widget_intelligent(
|
||||
npyscreen.TitleFilename,
|
||||
name=description+':',
|
||||
value=str(path),
|
||||
self.autoimport_dirs['autoimport_dir'] = self.add_widget_intelligent(
|
||||
FileBox,
|
||||
name=f'Autoimport Folder',
|
||||
value=str(config.root_path / config.autoimport_dir),
|
||||
select_dir=True,
|
||||
must_exist=False,
|
||||
use_two_lines=False,
|
||||
labelColor="GOOD",
|
||||
begin_entry_at=32,
|
||||
max_height = 3,
|
||||
scroll_exit=True
|
||||
)
|
||||
self.nextrely += 1
|
||||
@ -567,7 +569,14 @@ def default_startup_options(init_file: Path) -> Namespace:
|
||||
return opts
|
||||
|
||||
def default_user_selections(program_opts: Namespace) -> InstallSelections:
|
||||
installer = ModelInstall(config)
|
||||
|
||||
try:
|
||||
installer = ModelInstall(config)
|
||||
except omegaconf.errors.ConfigKeyError:
|
||||
logger.warning('Your models.yaml file is corrupt or out of date. Reinitializing')
|
||||
initialize_rootdir(config.root_path, True)
|
||||
installer = ModelInstall(config)
|
||||
|
||||
models = installer.all_models()
|
||||
return InstallSelections(
|
||||
install_models=[models[installer.default_model()].path or models[installer.default_model()].repo_id]
|
||||
@ -575,19 +584,8 @@ def default_user_selections(program_opts: Namespace) -> InstallSelections:
|
||||
else [models[x].path or models[x].repo_id for x in installer.recommended_models()]
|
||||
if program_opts.yes_to_all
|
||||
else list(),
|
||||
# scan_directory=None,
|
||||
# autoscan_on_startup=None,
|
||||
)
|
||||
|
||||
# -------------------------------------
|
||||
def autoimport_paths(config: InvokeAIAppConfig):
|
||||
return [
|
||||
('Checkpoints & diffusers models', 'autoimport_dir', config.root_path / config.autoimport_dir),
|
||||
('LoRA/LyCORIS models', 'lora_dir', config.root_path / config.lora_dir),
|
||||
('Controlnet models', 'controlnet_dir', config.root_path / config.controlnet_dir),
|
||||
('Textual Inversion Embeddings', 'embedding_dir', config.root_path / config.embedding_dir),
|
||||
]
|
||||
|
||||
# -------------------------------------
|
||||
def initialize_rootdir(root: Path, yes_to_all: bool = False):
|
||||
logger.info("** INITIALIZING INVOKEAI RUNTIME DIRECTORY **")
|
||||
@ -663,7 +661,7 @@ def write_opts(opts: Namespace, init_file: Path):
|
||||
with open(init_file,'w', encoding='utf-8') as file:
|
||||
file.write(new_config.to_yaml())
|
||||
|
||||
if opts.hf_token:
|
||||
if hasattr(opts,'hf_token') and opts.hf_token:
|
||||
HfLogin(opts.hf_token)
|
||||
|
||||
# -------------------------------------
|
||||
|
||||
@ -858,7 +858,7 @@ class ModelManager(object):
|
||||
loaded_files = set()
|
||||
new_models_found = False
|
||||
|
||||
self.logger.info(f'scanning {self.app_config.models_path} for new models')
|
||||
self.logger.info(f'Scanning {self.app_config.models_path} for new models')
|
||||
with Chdir(self.app_config.root_path):
|
||||
for model_key, model_config in list(self.models.items()):
|
||||
model_name, cur_base_model, cur_model_type = self.parse_key(model_key)
|
||||
@ -956,7 +956,7 @@ class ModelManager(object):
|
||||
config.lora_dir,
|
||||
config.embedding_dir,
|
||||
config.controlnet_dir,
|
||||
]
|
||||
] if x
|
||||
}
|
||||
scanner = ScanAndImport(directories, self.logger, ignore=known_paths, installer=installer)
|
||||
scanner.search()
|
||||
|
||||
169
invokeai/frontend/web/dist/assets/App-650a838f.js
vendored
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169
invokeai/frontend/web/dist/assets/App-650a838f.js
vendored
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vendored
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vendored
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invokeai/frontend/web/dist/assets/MantineProvider-734e4c23.js
vendored
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invokeai/frontend/web/dist/assets/MantineProvider-734e4c23.js
vendored
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invokeai/frontend/web/dist/assets/index-3a8b43e1.js
vendored
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invokeai/frontend/web/dist/assets/index-3a8b43e1.js
vendored
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125
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vendored
125
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vendored
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invokeai/frontend/web/dist/index.html
vendored
2
invokeai/frontend/web/dist/index.html
vendored
@ -12,7 +12,7 @@
|
||||
margin: 0;
|
||||
}
|
||||
</style>
|
||||
<script type="module" crossorigin src="./assets/index-adc79457.js"></script>
|
||||
<script type="module" crossorigin src="./assets/index-3a8b43e1.js"></script>
|
||||
</head>
|
||||
|
||||
<body dir="ltr">
|
||||
|
||||
14
invokeai/frontend/web/dist/locales/en.json
vendored
14
invokeai/frontend/web/dist/locales/en.json
vendored
@ -455,7 +455,12 @@
|
||||
"addDifference": "Add Difference",
|
||||
"pickModelType": "Pick Model Type",
|
||||
"selectModel": "Select Model",
|
||||
"importModels": "Import Models"
|
||||
"importModels": "Import Models",
|
||||
"settings": "Settings",
|
||||
"syncModels": "Sync Models",
|
||||
"syncModelsDesc": "If your models are out of sync with the backend, you can refresh them up using this option. This is generally handy in cases where you manually update your models.yaml file or add models to the InvokeAI root folder after the application has booted.",
|
||||
"modelsSynced": "Models Synced",
|
||||
"modelSyncFailed": "Model Sync Failed"
|
||||
},
|
||||
"parameters": {
|
||||
"general": "General",
|
||||
@ -547,7 +552,8 @@
|
||||
"saveSteps": "Save images every n steps",
|
||||
"confirmOnDelete": "Confirm On Delete",
|
||||
"displayHelpIcons": "Display Help Icons",
|
||||
"useCanvasBeta": "Use Canvas Beta Layout",
|
||||
"alternateCanvasLayout": "Alternate Canvas Layout",
|
||||
"enableNodesEditor": "Enable Nodes Editor",
|
||||
"enableImageDebugging": "Enable Image Debugging",
|
||||
"useSlidersForAll": "Use Sliders For All Options",
|
||||
"showProgressInViewer": "Show Progress Images in Viewer",
|
||||
@ -564,7 +570,9 @@
|
||||
"ui": "User Interface",
|
||||
"favoriteSchedulers": "Favorite Schedulers",
|
||||
"favoriteSchedulersPlaceholder": "No schedulers favorited",
|
||||
"showAdvancedOptions": "Show Advanced Options"
|
||||
"showAdvancedOptions": "Show Advanced Options",
|
||||
"experimental": "Experimental",
|
||||
"beta": "Beta"
|
||||
},
|
||||
"toast": {
|
||||
"serverError": "Server Error",
|
||||
|
||||
@ -76,7 +76,7 @@ export default function FoundModelsList() {
|
||||
dispatch(
|
||||
addToast(
|
||||
makeToast({
|
||||
title: 'Faile To Add Model',
|
||||
title: 'Failed To Add Model',
|
||||
status: 'error',
|
||||
})
|
||||
)
|
||||
|
||||
@ -255,6 +255,18 @@ export type paths = {
|
||||
/** Get Config */
|
||||
get: operations["get_config"];
|
||||
};
|
||||
"/api/v1/app/logging": {
|
||||
/**
|
||||
* Get Log Level
|
||||
* @description Returns the log level
|
||||
*/
|
||||
get: operations["get_log_level"];
|
||||
/**
|
||||
* Set Log Level
|
||||
* @description Sets the log verbosity level
|
||||
*/
|
||||
post: operations["set_log_level"];
|
||||
};
|
||||
};
|
||||
|
||||
export type webhooks = Record<string, never>;
|
||||
@ -1293,7 +1305,7 @@ export type components = {
|
||||
* @description The nodes in this graph
|
||||
*/
|
||||
nodes?: {
|
||||
[key: string]: (components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]) | undefined;
|
||||
[key: string]: (components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]) | undefined;
|
||||
};
|
||||
/**
|
||||
* Edges
|
||||
@ -1336,7 +1348,7 @@ export type components = {
|
||||
* @description The results of node executions
|
||||
*/
|
||||
results: {
|
||||
[key: string]: (components["schemas"]["ImageOutput"] | components["schemas"]["MaskOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["IntCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["CompelOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["IntOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["PromptOutput"] | components["schemas"]["PromptCollectionOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
|
||||
[key: string]: (components["schemas"]["ImageOutput"] | components["schemas"]["MaskOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["CompelOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["IntOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["IntCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["PromptOutput"] | components["schemas"]["PromptCollectionOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
|
||||
};
|
||||
/**
|
||||
* Errors
|
||||
@ -2910,6 +2922,12 @@ export type components = {
|
||||
*/
|
||||
image?: components["schemas"]["ImageField"];
|
||||
};
|
||||
/**
|
||||
* LogLevel
|
||||
* @description An enumeration.
|
||||
* @enum {integer}
|
||||
*/
|
||||
LogLevel: 0 | 10 | 20 | 30 | 40 | 50;
|
||||
/** LoraInfo */
|
||||
LoraInfo: {
|
||||
/**
|
||||
@ -5337,18 +5355,18 @@ export type components = {
|
||||
*/
|
||||
image?: components["schemas"]["ImageField"];
|
||||
};
|
||||
/**
|
||||
* StableDiffusion1ModelFormat
|
||||
* @description An enumeration.
|
||||
* @enum {string}
|
||||
*/
|
||||
StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
|
||||
/**
|
||||
* StableDiffusionXLModelFormat
|
||||
* @description An enumeration.
|
||||
* @enum {string}
|
||||
*/
|
||||
StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
|
||||
/**
|
||||
* StableDiffusion1ModelFormat
|
||||
* @description An enumeration.
|
||||
* @enum {string}
|
||||
*/
|
||||
StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
|
||||
/**
|
||||
* StableDiffusion2ModelFormat
|
||||
* @description An enumeration.
|
||||
@ -5465,7 +5483,7 @@ export type operations = {
|
||||
};
|
||||
requestBody: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
|
||||
"application/json": components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
|
||||
};
|
||||
};
|
||||
responses: {
|
||||
@ -5502,7 +5520,7 @@ export type operations = {
|
||||
};
|
||||
requestBody: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
|
||||
"application/json": components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
|
||||
};
|
||||
};
|
||||
responses: {
|
||||
@ -6500,4 +6518,43 @@ export type operations = {
|
||||
};
|
||||
};
|
||||
};
|
||||
/**
|
||||
* Get Log Level
|
||||
* @description Returns the log level
|
||||
*/
|
||||
get_log_level: {
|
||||
responses: {
|
||||
/** @description The operation was successful */
|
||||
200: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["LogLevel"];
|
||||
};
|
||||
};
|
||||
};
|
||||
};
|
||||
/**
|
||||
* Set Log Level
|
||||
* @description Sets the log verbosity level
|
||||
*/
|
||||
set_log_level: {
|
||||
requestBody: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["LogLevel"];
|
||||
};
|
||||
};
|
||||
responses: {
|
||||
/** @description The operation was successful */
|
||||
200: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["LogLevel"];
|
||||
};
|
||||
};
|
||||
/** @description Validation Error */
|
||||
422: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["HTTPValidationError"];
|
||||
};
|
||||
};
|
||||
};
|
||||
};
|
||||
};
|
||||
|
||||
@ -1 +1 @@
|
||||
__version__ = "3.0.0+b10"
|
||||
__version__ = "3.0.0rc2"
|
||||
|
||||
Loading…
Reference in New Issue
Block a user