mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
Merge branch 'main' into feat/onnx
This commit is contained in:
Brandon Rising
@ -112,7 +112,7 @@ def main():
|
||||
|
||||
extras = get_extras()
|
||||
|
||||
print(f":crossed_fingers: Upgrading to [yellow]{tag if tag else release}[/yellow]")
|
||||
print(f":crossed_fingers: Upgrading to [yellow]{tag or release or branch}[/yellow]")
|
||||
if release:
|
||||
cmd = f'pip install "invokeai{extras} @ {INVOKE_AI_SRC}/{release}.zip" --use-pep517 --upgrade'
|
||||
elif tag:
|
||||
|
||||
@ -58,6 +58,9 @@ logger = InvokeAILogger.getLogger()
|
||||
# from https://stackoverflow.com/questions/92438/stripping-non-printable-characters-from-a-string-in-python
|
||||
NOPRINT_TRANS_TABLE = {i: None for i in range(0, sys.maxunicode + 1) if not chr(i).isprintable()}
|
||||
|
||||
# maximum number of installed models we can display before overflowing vertically
|
||||
MAX_OTHER_MODELS = 72
|
||||
|
||||
|
||||
def make_printable(s: str) -> str:
|
||||
"""Replace non-printable characters in a string"""
|
||||
@ -102,7 +105,7 @@ class addModelsForm(CyclingForm, npyscreen.FormMultiPage):
|
||||
SingleSelectColumns,
|
||||
values=[
|
||||
"STARTER MODELS",
|
||||
"MORE MODELS",
|
||||
"MAIN MODELS",
|
||||
"CONTROLNETS",
|
||||
"LORA/LYCORIS",
|
||||
"TEXTUAL INVERSION",
|
||||
@ -153,7 +156,7 @@ class addModelsForm(CyclingForm, npyscreen.FormMultiPage):
|
||||
BufferBox,
|
||||
name="Log Messages",
|
||||
editable=False,
|
||||
max_height=8,
|
||||
max_height=15,
|
||||
)
|
||||
|
||||
self.nextrely += 1
|
||||
@ -253,6 +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
|
||||
@ -271,6 +275,10 @@ class addModelsForm(CyclingForm, npyscreen.FormMultiPage):
|
||||
)
|
||||
)
|
||||
|
||||
if len(model_labels) > MAX_OTHER_MODELS:
|
||||
model_labels = model_labels[0:MAX_OTHER_MODELS]
|
||||
truncated = True
|
||||
|
||||
widgets.update(
|
||||
models_selected=self.add_widget_intelligent(
|
||||
MultiSelectColumns,
|
||||
@ -289,6 +297,16 @@ class addModelsForm(CyclingForm, npyscreen.FormMultiPage):
|
||||
models=model_list,
|
||||
)
|
||||
|
||||
if truncated:
|
||||
widgets.update(
|
||||
warning_message=self.add_widget_intelligent(
|
||||
npyscreen.FixedText,
|
||||
value=f"Too many models to display (max={MAX_OTHER_MODELS}). Some are not displayed.",
|
||||
editable=False,
|
||||
color="CAUTION",
|
||||
)
|
||||
)
|
||||
|
||||
self.nextrely += 1
|
||||
widgets.update(
|
||||
download_ids=self.add_widget_intelligent(
|
||||
@ -313,7 +331,7 @@ class addModelsForm(CyclingForm, npyscreen.FormMultiPage):
|
||||
widgets = self.add_model_widgets(
|
||||
model_type=model_type,
|
||||
window_width=window_width,
|
||||
install_prompt=f"Additional {model_type.value.title()} models already installed.",
|
||||
install_prompt=f"Installed {model_type.value.title()} models. Unchecked models in the InvokeAI root directory will be deleted. Enter URLs, paths or repo_ids to import.",
|
||||
**kwargs,
|
||||
)
|
||||
|
||||
@ -399,7 +417,7 @@ class addModelsForm(CyclingForm, npyscreen.FormMultiPage):
|
||||
self.ok_button.hidden = True
|
||||
self.display()
|
||||
|
||||
# for communication with the subprocess
|
||||
# TO DO: Spawn a worker thread, not a subprocess
|
||||
parent_conn, child_conn = Pipe()
|
||||
p = Process(
|
||||
target=process_and_execute,
|
||||
@ -414,7 +432,6 @@ class addModelsForm(CyclingForm, npyscreen.FormMultiPage):
|
||||
self.subprocess_connection = parent_conn
|
||||
self.subprocess = p
|
||||
app.install_selections = InstallSelections()
|
||||
# process_and_execute(app.opt, app.install_selections)
|
||||
|
||||
def on_back(self):
|
||||
self.parentApp.switchFormPrevious()
|
||||
@ -489,8 +506,6 @@ class addModelsForm(CyclingForm, npyscreen.FormMultiPage):
|
||||
|
||||
# rebuild the form, saving and restoring some of the fields that need to be preserved.
|
||||
saved_messages = self.monitor.entry_widget.values
|
||||
# autoload_dir = str(config.root_path / self.pipeline_models['autoload_directory'].value)
|
||||
# autoscan = self.pipeline_models['autoscan_on_startup'].value
|
||||
|
||||
app.main_form = app.addForm(
|
||||
"MAIN",
|
||||
@ -544,12 +559,6 @@ class addModelsForm(CyclingForm, npyscreen.FormMultiPage):
|
||||
if downloads := section.get("download_ids"):
|
||||
selections.install_models.extend(downloads.value.split())
|
||||
|
||||
# load directory and whether to scan on startup
|
||||
# if self.parentApp.autoload_pending:
|
||||
# selections.scan_directory = str(config.root_path / self.pipeline_models['autoload_directory'].value)
|
||||
# self.parentApp.autoload_pending = False
|
||||
# selections.autoscan_on_startup = self.pipeline_models['autoscan_on_startup'].value
|
||||
|
||||
|
||||
class AddModelApplication(npyscreen.NPSAppManaged):
|
||||
def __init__(self, opt):
|
||||
@ -639,6 +648,11 @@ def process_and_execute(
|
||||
selections: InstallSelections,
|
||||
conn_out: Connection = None,
|
||||
):
|
||||
# need to reinitialize config in subprocess
|
||||
config = InvokeAIAppConfig.get_config()
|
||||
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:
|
||||
translator = StderrToMessage(conn_out)
|
||||
@ -656,38 +670,11 @@ def process_and_execute(
|
||||
conn_out.close()
|
||||
|
||||
|
||||
def do_listings(opt) -> bool:
|
||||
"""List installed models of various sorts, and return
|
||||
True if any were requested."""
|
||||
model_manager = ModelManager(config.model_conf_path)
|
||||
if opt.list_models == "diffusers":
|
||||
print("Diffuser models:")
|
||||
model_manager.print_models()
|
||||
elif opt.list_models == "controlnets":
|
||||
print("Installed Controlnet Models:")
|
||||
cnm = model_manager.list_controlnet_models()
|
||||
print(textwrap.indent("\n".join([x for x in cnm if cnm[x]]), prefix=" "))
|
||||
elif opt.list_models == "loras":
|
||||
print("Installed LoRA/LyCORIS Models:")
|
||||
cnm = model_manager.list_lora_models()
|
||||
print(textwrap.indent("\n".join([x for x in cnm if cnm[x]]), prefix=" "))
|
||||
elif opt.list_models == "tis":
|
||||
print("Installed Textual Inversion Embeddings:")
|
||||
cnm = model_manager.list_ti_models()
|
||||
print(textwrap.indent("\n".join([x for x in cnm if cnm[x]]), prefix=" "))
|
||||
else:
|
||||
return False
|
||||
return True
|
||||
|
||||
|
||||
# --------------------------------------------------------
|
||||
def select_and_download_models(opt: Namespace):
|
||||
precision = "float32" if opt.full_precision else choose_precision(torch.device(choose_torch_device()))
|
||||
config.precision = precision
|
||||
helper = lambda x: ask_user_for_prediction_type(x)
|
||||
# if do_listings(opt):
|
||||
# pass
|
||||
|
||||
installer = ModelInstall(config, prediction_type_helper=helper)
|
||||
if opt.list_models:
|
||||
installer.list_models(opt.list_models)
|
||||
@ -706,8 +693,6 @@ def select_and_download_models(opt: Namespace):
|
||||
# needed to support the probe() method running under a subprocess
|
||||
torch.multiprocessing.set_start_method("spawn")
|
||||
|
||||
# the third argument is needed in the Windows 11 environment in
|
||||
# order to launch and resize a console window running this program
|
||||
set_min_terminal_size(MIN_COLS, MIN_LINES)
|
||||
installApp = AddModelApplication(opt)
|
||||
try:
|
||||
|
||||
@ -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"
|
||||
]
|
||||
|
||||
169
invokeai/frontend/web/dist/assets/App-d6f88f50.js
vendored
169
invokeai/frontend/web/dist/assets/App-d6f88f50.js
vendored
File diff suppressed because one or more lines are too long
169
invokeai/frontend/web/dist/assets/App-ea7b7298.js
vendored
Normal file
169
invokeai/frontend/web/dist/assets/App-ea7b7298.js
vendored
Normal file
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
2
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-bad7ff83.js"></script>
|
||||
<script type="module" crossorigin src="./assets/index-9bb68e3a.js"></script>
|
||||
</head>
|
||||
|
||||
<body dir="ltr">
|
||||
|
||||
@ -139,8 +139,19 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => {
|
||||
useHotkeys('s', handleUseSeed, [imageDTO]);
|
||||
|
||||
const handleUsePrompt = useCallback(() => {
|
||||
recallBothPrompts(metadata?.positive_prompt, metadata?.negative_prompt);
|
||||
}, [metadata?.negative_prompt, metadata?.positive_prompt, recallBothPrompts]);
|
||||
recallBothPrompts(
|
||||
metadata?.positive_prompt,
|
||||
metadata?.negative_prompt,
|
||||
metadata?.positive_style_prompt,
|
||||
metadata?.negative_style_prompt
|
||||
);
|
||||
}, [
|
||||
metadata?.negative_prompt,
|
||||
metadata?.positive_prompt,
|
||||
metadata?.positive_style_prompt,
|
||||
metadata?.negative_style_prompt,
|
||||
recallBothPrompts,
|
||||
]);
|
||||
|
||||
useHotkeys('p', handleUsePrompt, [imageDTO]);
|
||||
|
||||
|
||||
@ -102,8 +102,19 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => {
|
||||
|
||||
// Recall parameters handlers
|
||||
const handleRecallPrompt = useCallback(() => {
|
||||
recallBothPrompts(metadata?.positive_prompt, metadata?.negative_prompt);
|
||||
}, [metadata?.negative_prompt, metadata?.positive_prompt, recallBothPrompts]);
|
||||
recallBothPrompts(
|
||||
metadata?.positive_prompt,
|
||||
metadata?.negative_prompt,
|
||||
metadata?.positive_style_prompt,
|
||||
metadata?.negative_style_prompt
|
||||
);
|
||||
}, [
|
||||
metadata?.negative_prompt,
|
||||
metadata?.positive_prompt,
|
||||
metadata?.positive_style_prompt,
|
||||
metadata?.negative_style_prompt,
|
||||
recallBothPrompts,
|
||||
]);
|
||||
|
||||
const handleRecallSeed = useCallback(() => {
|
||||
recallSeed(metadata?.seed);
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
import { Input } from '@chakra-ui/react';
|
||||
import { Input, Textarea } from '@chakra-ui/react';
|
||||
import { useAppDispatch } from 'app/store/storeHooks';
|
||||
import { fieldValueChanged } from 'features/nodes/store/nodesSlice';
|
||||
import {
|
||||
@ -12,10 +12,11 @@ const StringInputFieldComponent = (
|
||||
props: FieldComponentProps<StringInputFieldValue, StringInputFieldTemplate>
|
||||
) => {
|
||||
const { nodeId, field } = props;
|
||||
|
||||
const dispatch = useAppDispatch();
|
||||
|
||||
const handleValueChanged = (e: ChangeEvent<HTMLInputElement>) => {
|
||||
const handleValueChanged = (
|
||||
e: ChangeEvent<HTMLInputElement | HTMLTextAreaElement>
|
||||
) => {
|
||||
dispatch(
|
||||
fieldValueChanged({
|
||||
nodeId,
|
||||
@ -25,7 +26,11 @@ const StringInputFieldComponent = (
|
||||
);
|
||||
};
|
||||
|
||||
return <Input onChange={handleValueChanged} value={field.value}></Input>;
|
||||
return ['prompt', 'style'].includes(field.name.toLowerCase()) ? (
|
||||
<Textarea onChange={handleValueChanged} value={field.value} rows={2} />
|
||||
) : (
|
||||
<Input onChange={handleValueChanged} value={field.value} />
|
||||
);
|
||||
};
|
||||
|
||||
export default memo(StringInputFieldComponent);
|
||||
|
||||
@ -1,5 +1,15 @@
|
||||
import { useAppToaster } from 'app/components/Toaster';
|
||||
import { useAppDispatch } from 'app/store/storeHooks';
|
||||
import {
|
||||
refinerModelChanged,
|
||||
setNegativeStylePromptSDXL,
|
||||
setPositiveStylePromptSDXL,
|
||||
setRefinerAestheticScore,
|
||||
setRefinerCFGScale,
|
||||
setRefinerScheduler,
|
||||
setRefinerStart,
|
||||
setRefinerSteps,
|
||||
} from 'features/sdxl/store/sdxlSlice';
|
||||
import { useCallback } from 'react';
|
||||
import { useTranslation } from 'react-i18next';
|
||||
import { UnsafeImageMetadata } from 'services/api/endpoints/images';
|
||||
@ -22,6 +32,10 @@ import {
|
||||
isValidMainModel,
|
||||
isValidNegativePrompt,
|
||||
isValidPositivePrompt,
|
||||
isValidSDXLNegativeStylePrompt,
|
||||
isValidSDXLPositiveStylePrompt,
|
||||
isValidSDXLRefinerAestheticScore,
|
||||
isValidSDXLRefinerStart,
|
||||
isValidScheduler,
|
||||
isValidSeed,
|
||||
isValidSteps,
|
||||
@ -74,17 +88,34 @@ export const useRecallParameters = () => {
|
||||
* Recall both prompts with toast
|
||||
*/
|
||||
const recallBothPrompts = useCallback(
|
||||
(positivePrompt: unknown, negativePrompt: unknown) => {
|
||||
(
|
||||
positivePrompt: unknown,
|
||||
negativePrompt: unknown,
|
||||
positiveStylePrompt: unknown,
|
||||
negativeStylePrompt: unknown
|
||||
) => {
|
||||
if (
|
||||
isValidPositivePrompt(positivePrompt) ||
|
||||
isValidNegativePrompt(negativePrompt)
|
||||
isValidNegativePrompt(negativePrompt) ||
|
||||
isValidSDXLPositiveStylePrompt(positiveStylePrompt) ||
|
||||
isValidSDXLNegativeStylePrompt(negativeStylePrompt)
|
||||
) {
|
||||
if (isValidPositivePrompt(positivePrompt)) {
|
||||
dispatch(setPositivePrompt(positivePrompt));
|
||||
}
|
||||
|
||||
if (isValidNegativePrompt(negativePrompt)) {
|
||||
dispatch(setNegativePrompt(negativePrompt));
|
||||
}
|
||||
|
||||
if (isValidSDXLPositiveStylePrompt(positiveStylePrompt)) {
|
||||
dispatch(setPositiveStylePromptSDXL(positiveStylePrompt));
|
||||
}
|
||||
|
||||
if (isValidSDXLPositiveStylePrompt(negativeStylePrompt)) {
|
||||
dispatch(setNegativeStylePromptSDXL(negativeStylePrompt));
|
||||
}
|
||||
|
||||
parameterSetToast();
|
||||
return;
|
||||
}
|
||||
@ -123,6 +154,36 @@ export const useRecallParameters = () => {
|
||||
[dispatch, parameterSetToast, parameterNotSetToast]
|
||||
);
|
||||
|
||||
/**
|
||||
* Recall SDXL Positive Style Prompt with toast
|
||||
*/
|
||||
const recallSDXLPositiveStylePrompt = useCallback(
|
||||
(positiveStylePrompt: unknown) => {
|
||||
if (!isValidSDXLPositiveStylePrompt(positiveStylePrompt)) {
|
||||
parameterNotSetToast();
|
||||
return;
|
||||
}
|
||||
dispatch(setPositiveStylePromptSDXL(positiveStylePrompt));
|
||||
parameterSetToast();
|
||||
},
|
||||
[dispatch, parameterSetToast, parameterNotSetToast]
|
||||
);
|
||||
|
||||
/**
|
||||
* Recall SDXL Negative Style Prompt with toast
|
||||
*/
|
||||
const recallSDXLNegativeStylePrompt = useCallback(
|
||||
(negativeStylePrompt: unknown) => {
|
||||
if (!isValidSDXLNegativeStylePrompt(negativeStylePrompt)) {
|
||||
parameterNotSetToast();
|
||||
return;
|
||||
}
|
||||
dispatch(setNegativeStylePromptSDXL(negativeStylePrompt));
|
||||
parameterSetToast();
|
||||
},
|
||||
[dispatch, parameterSetToast, parameterNotSetToast]
|
||||
);
|
||||
|
||||
/**
|
||||
* Recall seed with toast
|
||||
*/
|
||||
@ -271,6 +332,14 @@ export const useRecallParameters = () => {
|
||||
steps,
|
||||
width,
|
||||
strength,
|
||||
positive_style_prompt,
|
||||
negative_style_prompt,
|
||||
refiner_model,
|
||||
refiner_cfg_scale,
|
||||
refiner_steps,
|
||||
refiner_scheduler,
|
||||
refiner_aesthetic_store,
|
||||
refiner_start,
|
||||
} = metadata;
|
||||
|
||||
if (isValidCfgScale(cfg_scale)) {
|
||||
@ -304,6 +373,38 @@ export const useRecallParameters = () => {
|
||||
dispatch(setImg2imgStrength(strength));
|
||||
}
|
||||
|
||||
if (isValidSDXLPositiveStylePrompt(positive_style_prompt)) {
|
||||
dispatch(setPositiveStylePromptSDXL(positive_style_prompt));
|
||||
}
|
||||
|
||||
if (isValidSDXLNegativeStylePrompt(negative_style_prompt)) {
|
||||
dispatch(setNegativeStylePromptSDXL(negative_style_prompt));
|
||||
}
|
||||
|
||||
if (isValidMainModel(refiner_model)) {
|
||||
dispatch(refinerModelChanged(refiner_model));
|
||||
}
|
||||
|
||||
if (isValidSteps(refiner_steps)) {
|
||||
dispatch(setRefinerSteps(refiner_steps));
|
||||
}
|
||||
|
||||
if (isValidCfgScale(refiner_cfg_scale)) {
|
||||
dispatch(setRefinerCFGScale(refiner_cfg_scale));
|
||||
}
|
||||
|
||||
if (isValidScheduler(refiner_scheduler)) {
|
||||
dispatch(setRefinerScheduler(refiner_scheduler));
|
||||
}
|
||||
|
||||
if (isValidSDXLRefinerAestheticScore(refiner_aesthetic_store)) {
|
||||
dispatch(setRefinerAestheticScore(refiner_aesthetic_store));
|
||||
}
|
||||
|
||||
if (isValidSDXLRefinerStart(refiner_start)) {
|
||||
dispatch(setRefinerStart(refiner_start));
|
||||
}
|
||||
|
||||
allParameterSetToast();
|
||||
},
|
||||
[allParameterNotSetToast, allParameterSetToast, dispatch]
|
||||
@ -313,6 +414,8 @@ export const useRecallParameters = () => {
|
||||
recallBothPrompts,
|
||||
recallPositivePrompt,
|
||||
recallNegativePrompt,
|
||||
recallSDXLPositiveStylePrompt,
|
||||
recallSDXLNegativeStylePrompt,
|
||||
recallSeed,
|
||||
recallCfgScale,
|
||||
recallModel,
|
||||
|
||||
@ -324,6 +324,39 @@ export type PrecisionParam = z.infer<typeof zPrecision>;
|
||||
export const isValidPrecision = (val: unknown): val is PrecisionParam =>
|
||||
zPrecision.safeParse(val).success;
|
||||
|
||||
/**
|
||||
* Zod schema for SDXL refiner aesthetic score parameter
|
||||
*/
|
||||
export const zSDXLRefinerAestheticScore = z.number().min(1).max(10);
|
||||
/**
|
||||
* Type alias for SDXL refiner aesthetic score parameter, inferred from its zod schema
|
||||
*/
|
||||
export type SDXLRefinerAestheticScoreParam = z.infer<
|
||||
typeof zSDXLRefinerAestheticScore
|
||||
>;
|
||||
/**
|
||||
* Validates/type-guards a value as a SDXL refiner aesthetic score parameter
|
||||
*/
|
||||
export const isValidSDXLRefinerAestheticScore = (
|
||||
val: unknown
|
||||
): val is SDXLRefinerAestheticScoreParam =>
|
||||
zSDXLRefinerAestheticScore.safeParse(val).success;
|
||||
|
||||
/**
|
||||
* Zod schema for SDXL start parameter
|
||||
*/
|
||||
export const zSDXLRefinerstart = z.number().min(0).max(1);
|
||||
/**
|
||||
* Type alias for SDXL start, inferred from its zod schema
|
||||
*/
|
||||
export type SDXLRefinerStartParam = z.infer<typeof zSDXLRefinerstart>;
|
||||
/**
|
||||
* Validates/type-guards a value as a SDXL refiner aesthetic score parameter
|
||||
*/
|
||||
export const isValidSDXLRefinerStart = (
|
||||
val: unknown
|
||||
): val is SDXLRefinerStartParam => zSDXLRefinerstart.safeParse(val).success;
|
||||
|
||||
// /**
|
||||
// * Zod schema for BaseModelType
|
||||
// */
|
||||
|
||||
@ -21,8 +21,8 @@ export default function ParamSDXLConcatButton() {
|
||||
|
||||
return (
|
||||
<IAIIconButton
|
||||
aria-label="Concat"
|
||||
tooltip="Concatenates Basic Prompt with Style (Recommended)"
|
||||
aria-label="Concatenate Prompt & Style"
|
||||
tooltip="Concatenate Prompt & Style"
|
||||
variant="outline"
|
||||
isChecked={shouldConcatSDXLStylePrompt}
|
||||
onClick={handleShouldConcatPromptChange}
|
||||
|
||||
@ -1381,7 +1381,7 @@ export type components = {
|
||||
* @description The nodes in this graph
|
||||
*/
|
||||
nodes?: {
|
||||
[key: string]: (components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | 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"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | 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"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["CvInpaintInvocation"] | 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"]["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"]["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"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | 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"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | 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;
|
||||
};
|
||||
/**
|
||||
* Edges
|
||||
@ -1424,7 +1424,7 @@ 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"]["PromptOutput"] | components["schemas"]["PromptCollectionOutput"] | components["schemas"]["IntOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["CompelOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["IntCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | 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"]["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"]["PromptOutput"] | components["schemas"]["PromptCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
|
||||
};
|
||||
/**
|
||||
* Errors
|
||||
@ -4265,6 +4265,35 @@ export type components = {
|
||||
*/
|
||||
a?: number;
|
||||
};
|
||||
/**
|
||||
* ParamPromptInvocation
|
||||
* @description A prompt input parameter
|
||||
*/
|
||||
ParamPromptInvocation: {
|
||||
/**
|
||||
* Id
|
||||
* @description The id of this node. Must be unique among all nodes.
|
||||
*/
|
||||
id: string;
|
||||
/**
|
||||
* Is Intermediate
|
||||
* @description Whether or not this node is an intermediate node.
|
||||
* @default false
|
||||
*/
|
||||
is_intermediate?: boolean;
|
||||
/**
|
||||
* Type
|
||||
* @default param_prompt
|
||||
* @enum {string}
|
||||
*/
|
||||
type?: "param_prompt";
|
||||
/**
|
||||
* Prompt
|
||||
* @description The prompt value
|
||||
* @default
|
||||
*/
|
||||
prompt?: string;
|
||||
};
|
||||
/**
|
||||
* ParamStringInvocation
|
||||
* @description A string parameter
|
||||
@ -5874,24 +5903,18 @@ export type components = {
|
||||
* @enum {string}
|
||||
*/
|
||||
StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
|
||||
/**
|
||||
* ControlNetModelFormat
|
||||
* @description An enumeration.
|
||||
* @enum {string}
|
||||
*/
|
||||
ControlNetModelFormat: "checkpoint" | "diffusers";
|
||||
/**
|
||||
* StableDiffusion2ModelFormat
|
||||
* @description An enumeration.
|
||||
* @enum {string}
|
||||
*/
|
||||
StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
|
||||
/**
|
||||
* StableDiffusion1ModelFormat
|
||||
* @description An enumeration.
|
||||
* @enum {string}
|
||||
*/
|
||||
StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
|
||||
/**
|
||||
* ControlNetModelFormat
|
||||
* @description An enumeration.
|
||||
* @enum {string}
|
||||
*/
|
||||
ControlNetModelFormat: "checkpoint" | "diffusers";
|
||||
};
|
||||
responses: never;
|
||||
parameters: never;
|
||||
@ -6002,7 +6025,7 @@ export type operations = {
|
||||
};
|
||||
requestBody: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | 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"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | 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"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["CvInpaintInvocation"] | 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"]["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"]["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"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | 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"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | 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"];
|
||||
};
|
||||
};
|
||||
responses: {
|
||||
@ -6039,7 +6062,7 @@ export type operations = {
|
||||
};
|
||||
requestBody: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | 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"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | 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"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["CvInpaintInvocation"] | 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"]["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"]["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"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | 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"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | 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"];
|
||||
};
|
||||
};
|
||||
responses: {
|
||||
|
||||
Reference in New Issue
Block a user