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Add onnx models to the model manager UI

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This commit is contained in:
Brandon Rising 2023-07-27 09:37:37 -04:00
parent 4d732e06de
commit 024f92f9a9
12 changed files with 465 additions and 109 deletions
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2
invokeai/backend/model_management/model_probe.py
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@ -23,7 +23,7 @@ class ModelProbeInfo(object):
variant_type: ModelVariantType variant_type: ModelVariantType
prediction_type: SchedulerPredictionType prediction_type: SchedulerPredictionType
upcast_attention: bool upcast_attention: bool
format: Literal['diffusers','checkpoint', 'lycoris', 'olive'] format: Literal['diffusers','checkpoint', 'lycoris', 'olive', 'onnx']
image_size: int image_size: int
class ProbeBase(object): class ProbeBase(object):

15
invokeai/backend/model_management/models/stable_diffusion_onnx.py
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@ -21,10 +21,15 @@ from .base import (
) )
from invokeai.app.services.config import InvokeAIAppConfig from invokeai.app.services.config import InvokeAIAppConfig
class StableDiffusionOnnxModelFormat(str, Enum):
Olive = "olive"
Onnx = "onnx"
class ONNXStableDiffusion1Model(DiffusersModel): class ONNXStableDiffusion1Model(DiffusersModel):
class Config(ModelConfigBase): class Config(ModelConfigBase):
model_format: None model_format: Literal[StableDiffusionOnnxModelFormat.Onnx]
variant: ModelVariantType variant: ModelVariantType
@ -69,7 +74,8 @@ class ONNXStableDiffusion1Model(DiffusersModel):
@classmethod @classmethod
def detect_format(cls, model_path: str): def detect_format(cls, model_path: str):
return None # TODO: Detect onnx vs olive
return StableDiffusionOnnxModelFormat.Onnx
@classmethod @classmethod
def convert_if_required( def convert_if_required(
@ -85,7 +91,7 @@ class ONNXStableDiffusion2Model(DiffusersModel):
# TODO: check that configs overwriten properly # TODO: check that configs overwriten properly
class Config(ModelConfigBase): class Config(ModelConfigBase):
model_format: None model_format: Literal[StableDiffusionOnnxModelFormat.Onnx]
variant: ModelVariantType variant: ModelVariantType
prediction_type: SchedulerPredictionType prediction_type: SchedulerPredictionType
upcast_attention: bool upcast_attention: bool
@ -142,7 +148,8 @@ class ONNXStableDiffusion2Model(DiffusersModel):
@classmethod @classmethod
def detect_format(cls, model_path: str): def detect_format(cls, model_path: str):
return None # TODO: Detect onnx vs olive
return StableDiffusionOnnxModelFormat.Onnx
@classmethod @classmethod
def convert_if_required( def convert_if_required(

46
invokeai/frontend/web/dist/assets/App-52d56437.js → invokeai/frontend/web/dist/assets/App-31be1ab7.js vendored
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2
invokeai/frontend/web/dist/assets/MantineProvider-e109526d.js → invokeai/frontend/web/dist/assets/MantineProvider-26d2feb2.js vendored
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2
invokeai/frontend/web/dist/assets/ThemeLocaleProvider-148eb602.js → invokeai/frontend/web/dist/assets/ThemeLocaleProvider-38a3ad93.js vendored
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@ -1,4 +1,4 @@
import{A as m,fS as Ze,z as y,a4 as Xa,fT as Ya,af as va,aj as d,fU as b,fV as t,fW as Ka,fX as h,fY as ua,fZ as Za,f_ as Ja,aI as Qa,f$ as et,ad as rt,g0 as at}from"./index-abee108c.js";import{s as fa,n as o,t as tt,o as ha,p as ot,q as ma,v as ga,w as ya,x as it,y as Sa,z as pa,A as xr,B as nt,D as lt,E as st,F as xa,G as $a,H as ka,J as dt,K as _a,L as ct,M as bt,N as vt,O as ut,Q as wa,R as ft,S as ht,T as mt,U as gt,V as yt,W as St,e as pt,X as xt}from"./MantineProvider-e109526d.js";var za=String.raw,Ca=za` import{A as m,fS as Ze,z as y,a4 as Xa,fT as Ya,af as va,aj as d,fU as b,fV as t,fW as Ka,fX as h,fY as ua,fZ as Za,f_ as Ja,aI as Qa,f$ as et,ad as rt,g0 as at}from"./index-190cc92f.js";import{s as fa,n as o,t as tt,o as ha,p as ot,q as ma,v as ga,w as ya,x as it,y as Sa,z as pa,A as xr,B as nt,D as lt,E as st,F as xa,G as $a,H as ka,J as dt,K as _a,L as ct,M as bt,N as vt,O as ut,Q as wa,R as ft,S as ht,T as mt,U as gt,V as yt,W as St,e as pt,X as xt}from"./MantineProvider-26d2feb2.js";var za=String.raw,Ca=za`
:root, :root,
:host { :host {
--chakra-vh: 100vh; --chakra-vh: 100vh;

2
invokeai/frontend/web/dist/assets/index-abee108c.js → invokeai/frontend/web/dist/assets/index-190cc92f.js vendored
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2
invokeai/frontend/web/dist/index.html vendored
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@ -12,7 +12,7 @@
margin: 0; margin: 0;
} }
</style> </style>
<script type="module" crossorigin src="./assets/index-abee108c.js"></script> <script type="module" crossorigin src="./assets/index-190cc92f.js"></script>
</head> </head>
<body dir="ltr"> <body dir="ltr">

2
invokeai/frontend/web/dist/locales/en.json vendored
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@ -341,6 +341,8 @@
"checkpointModels": "Checkpoints", "checkpointModels": "Checkpoints",
"diffusersModels": "Diffusers", "diffusersModels": "Diffusers",
"safetensorModels": "SafeTensors", "safetensorModels": "SafeTensors",
"onnxModels": "Onnx",
"oliveModels": "Olives",
"modelAdded": "Model Added", "modelAdded": "Model Added",
"modelUpdated": "Model Updated", "modelUpdated": "Model Updated",
"modelUpdateFailed": "Model Update Failed", "modelUpdateFailed": "Model Update Failed",

2
invokeai/frontend/web/public/locales/en.json
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@ -341,6 +341,8 @@
"checkpointModels": "Checkpoints", "checkpointModels": "Checkpoints",
"diffusersModels": "Diffusers", "diffusersModels": "Diffusers",
"safetensorModels": "SafeTensors", "safetensorModels": "SafeTensors",
"onnxModels": "Onnx",
"oliveModels": "Olives",
"modelAdded": "Model Added", "modelAdded": "Model Added",
"modelUpdated": "Model Updated", "modelUpdated": "Model Updated",
"modelUpdateFailed": "Model Update Failed", "modelUpdateFailed": "Model Update Failed",

70
invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelList.tsx
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@ -8,7 +8,9 @@ import { useCallback, useState } from 'react';
import { useTranslation } from 'react-i18next'; import { useTranslation } from 'react-i18next';
import { import {
MainModelConfigEntity, MainModelConfigEntity,
OnnxModelConfigEntity,
useGetMainModelsQuery, useGetMainModelsQuery,
useGetOnnxModelsQuery,
} from 'services/api/endpoints/models'; } from 'services/api/endpoints/models';
import ModelListItem from './ModelListItem'; import ModelListItem from './ModelListItem';
import { ALL_BASE_MODELS } from 'services/api/constants'; import { ALL_BASE_MODELS } from 'services/api/constants';
@ -18,7 +20,7 @@ type ModelListProps = {
setSelectedModelId: (name: string | undefined) => void; setSelectedModelId: (name: string | undefined) => void;
}; };
type ModelFormat = 'images' | 'checkpoint' | 'diffusers' | 'olive'; type ModelFormat = 'images' | 'checkpoint' | 'diffusers' | 'olive' | 'onnx';
const ModelList = (props: ModelListProps) => { const ModelList = (props: ModelListProps) => {
const { selectedModelId, setSelectedModelId } = props; const { selectedModelId, setSelectedModelId } = props;
@ -39,6 +41,18 @@ const ModelList = (props: ModelListProps) => {
}), }),
}); });
const { filteredOnnxModels } = useGetOnnxModelsQuery(ALL_BASE_MODELS, {
selectFromResult: ({ data }) => ({
filteredOnnxModels: modelsFilter(data, 'onnx', nameFilter),
}),
});
const { filteredOliveModels } = useGetOnnxModelsQuery(ALL_BASE_MODELS, {
selectFromResult: ({ data }) => ({
filteredOliveModels: modelsFilter(data, 'olive', nameFilter),
}),
});
const handleSearchFilter = useCallback((e: ChangeEvent<HTMLInputElement>) => { const handleSearchFilter = useCallback((e: ChangeEvent<HTMLInputElement>) => {
setNameFilter(e.target.value); setNameFilter(e.target.value);
}, []); }, []);
@ -63,10 +77,17 @@ const ModelList = (props: ModelListProps) => {
</IAIButton> </IAIButton>
<IAIButton <IAIButton
size="sm" size="sm"
onClick={() => setModelFormatFilter('checkpoint')} onClick={() => setModelFormatFilter('onnx')}
isChecked={modelFormatFilter === 'checkpoint'} isChecked={modelFormatFilter === 'onnx'}
> >
{t('modelManager.checkpointModels')} {t('modelManager.onnxModels')}
</IAIButton>
<IAIButton
size="sm"
onClick={() => setModelFormatFilter('olive')}
isChecked={modelFormatFilter === 'olive'}
>
{t('modelManager.oliveModels')}
</IAIButton> </IAIButton>
</ButtonGroup> </ButtonGroup>
@ -118,6 +139,42 @@ const ModelList = (props: ModelListProps) => {
</Flex> </Flex>
</StyledModelContainer> </StyledModelContainer>
)} )}
{['images', 'olive'].includes(modelFormatFilter) &&
filteredOliveModels.length > 0 && (
<StyledModelContainer>
<Flex sx={{ gap: 2, flexDir: 'column' }}>
<Text variant="subtext" fontSize="sm">
Olives
</Text>
{filteredOliveModels.map((model) => (
<ModelListItem
key={model.id}
model={model}
isSelected={selectedModelId === model.id}
setSelectedModelId={setSelectedModelId}
/>
))}
</Flex>
</StyledModelContainer>
)}
{['images', 'onnx'].includes(modelFormatFilter) &&
filteredOnnxModels.length > 0 && (
<StyledModelContainer>
<Flex sx={{ gap: 2, flexDir: 'column' }}>
<Text variant="subtext" fontSize="sm">
Onnx
</Text>
{filteredOnnxModels.map((model) => (
<ModelListItem
key={model.id}
model={model}
isSelected={selectedModelId === model.id}
setSelectedModelId={setSelectedModelId}
/>
))}
</Flex>
</StyledModelContainer>
)}
</Flex> </Flex>
</Flex> </Flex>
</Flex> </Flex>
@ -127,7 +184,10 @@ const ModelList = (props: ModelListProps) => {
export default ModelList; export default ModelList;
const modelsFilter = ( const modelsFilter = (
data: EntityState<MainModelConfigEntity> | undefined, data:
| EntityState<MainModelConfigEntity>
| EntityState<OnnxModelConfigEntity>
| undefined,
model_format: ModelFormat, model_format: ModelFormat,
nameFilter: string nameFilter: string
) => { ) => {

5
invokeai/frontend/web/src/services/api/endpoints/models.ts
View File

@ -152,7 +152,10 @@ const createModelEntities = <T extends AnyModelConfigEntity>(
export const modelsApi = api.injectEndpoints({ export const modelsApi = api.injectEndpoints({
endpoints: (build) => ({ endpoints: (build) => ({
getOnnxModels: build.query<EntityState<OnnxModelConfigEntity>, void>({ getOnnxModels: build.query<
EntityState<OnnxModelConfigEntity>,
BaseModelType[]
>({
query: (base_models) => { query: (base_models) => {
const params = { const params = {
model_type: 'onnx', model_type: 'onnx',

422
invokeai/frontend/web/src/services/api/schema.d.ts vendored
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@ -901,8 +901,8 @@ export type components = {
*/ */
resize_mode?: "just_resize" | "crop_resize" | "fill_resize" | "just_resize_simple"; resize_mode?: "just_resize" | "crop_resize" | "fill_resize" | "just_resize_simple";
}; };
/** ControlNetModelConfig */ /** ControlNetModelCheckpointConfig */
ControlNetModelConfig: { ControlNetModelCheckpointConfig: {
/** Model Name */ /** Model Name */
model_name: string; model_name: string;
base_model: components["schemas"]["BaseModelType"]; base_model: components["schemas"]["BaseModelType"];
@ -915,7 +915,34 @@ export type components = {
path: string; path: string;
/** Description */ /** Description */
description?: string; description?: string;
model_format: components["schemas"]["ControlNetModelFormat"]; /**
* Model Format
* @enum {string}
*/
model_format: "checkpoint";
error?: components["schemas"]["ModelError"];
/** Config */
config: string;
};
/** ControlNetModelDiffusersConfig */
ControlNetModelDiffusersConfig: {
/** Model Name */
model_name: string;
base_model: components["schemas"]["BaseModelType"];
/**
* Model Type
* @enum {string}
*/
model_type: "controlnet";
/** Path */
path: string;
/** Description */
description?: string;
/**
* Model Format
* @enum {string}
*/
model_format: "diffusers";
error?: components["schemas"]["ModelError"]; error?: components["schemas"]["ModelError"];
}; };
/** /**
@ -931,12 +958,6 @@ export type components = {
/** @description Base model */ /** @description Base model */
base_model: components["schemas"]["BaseModelType"]; base_model: components["schemas"]["BaseModelType"];
}; };
/**
* ControlNetModelFormat
* @description An enumeration.
* @enum {string}
*/
ControlNetModelFormat: "checkpoint" | "diffusers";
/** /**
* ControlOutput * ControlOutput
* @description node output for ControlNet info * @description node output for ControlNet info
@ -1360,7 +1381,7 @@ export type components = {
* @description The nodes in this graph * @description The nodes in this graph
*/ */
nodes?: { nodes?: {
[key: string]: (components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | 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"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | 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"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | 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"]["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;
}; };
/** /**
* Edges * Edges
@ -1403,7 +1424,7 @@ export type components = {
* @description The results of node executions * @description The results of node executions
*/ */
results: { 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"]["CompelOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["PromptOutput"] | components["schemas"]["PromptCollectionOutput"] | components["schemas"]["IntOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["IntCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["NoiseOutput"] | 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"]["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;
}; };
/** /**
* Errors * Errors
@ -2541,10 +2562,10 @@ export type components = {
/** /**
* Infill Method * Infill Method
* @description The method used to infill empty regions (px) * @description The method used to infill empty regions (px)
* @default patchmatch * @default tile
* @enum {string} * @enum {string}
*/ */
infill_method?: "patchmatch" | "tile" | "solid"; infill_method?: "tile" | "solid";
/** /**
* Inpaint Width * Inpaint Width
* @description The width of the inpaint region (px) * @description The width of the inpaint region (px)
@ -3155,21 +3176,6 @@ export type components = {
/** @description Model Type */ /** @description Model Type */
model_type: components["schemas"]["ModelType"]; model_type: components["schemas"]["ModelType"];
}; };
/**
* OnnxModelField
* @description Onnx model field
*/
OnnxModelField: {
/**
* Model Name
* @description Name of the model
*/
model_name: string;
/** @description Base model */
base_model: components["schemas"]["BaseModelType"];
/** @description Model Type */
model_type: components["schemas"]["ModelType"];
};
/** /**
* MainModelLoaderInvocation * MainModelLoaderInvocation
* @description Loads a main model, outputting its submodels. * @description Loads a main model, outputting its submodels.
@ -3198,34 +3204,6 @@ export type components = {
*/ */
model: components["schemas"]["MainModelField"]; model: components["schemas"]["MainModelField"];
}; };
/**
* OnnxModelLoaderInvocation
* @description Loads an onnx model, outputting its submodels.
*/
OnnxModelLoaderInvocation: {
/**
* 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 onnx_model_loader
* @enum {string}
*/
type?: "onnx_model_loader";
/**
* Model
* @description The model to load
*/
model: components["schemas"]["OnnxModelField"];
};
/** /**
* MaskFromAlphaInvocation * MaskFromAlphaInvocation
* @description Extracts the alpha channel of an image as a mask. * @description Extracts the alpha channel of an image as a mask.
@ -3642,7 +3620,7 @@ export type components = {
* @description An enumeration. * @description An enumeration.
* @enum {string} * @enum {string}
*/ */
ModelType: "main" | "onnx" | "vae" | "lora" | "controlnet" | "embedding"; ModelType: "onnx" | "main" | "vae" | "lora" | "controlnet" | "embedding";
/** /**
* ModelVariantType * ModelVariantType
* @description An enumeration. * @description An enumeration.
@ -3652,7 +3630,7 @@ export type components = {
/** ModelsList */ /** ModelsList */
ModelsList: { ModelsList: {
/** Models */ /** Models */
models: (components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"])[]; models: (components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"])[];
}; };
/** /**
* MultiplyInvocation * MultiplyInvocation
@ -3802,6 +3780,255 @@ export type components = {
*/ */
image_resolution?: number; image_resolution?: number;
}; };
/**
* ONNXLatentsToImageInvocation
* @description Generates an image from latents.
*/
ONNXLatentsToImageInvocation: {
/**
* 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 l2i_onnx
* @enum {string}
*/
type?: "l2i_onnx";
/**
* Latents
* @description The latents to generate an image from
*/
latents?: components["schemas"]["LatentsField"];
/**
* Vae
* @description Vae submodel
*/
vae?: components["schemas"]["VaeField"];
/**
* Metadata
* @description Optional core metadata to be written to the image
*/
metadata?: components["schemas"]["CoreMetadata"];
};
/**
* ONNXModelLoaderOutput
* @description Model loader output
*/
ONNXModelLoaderOutput: {
/**
* Type
* @default model_loader_output_onnx
* @enum {string}
*/
type?: "model_loader_output_onnx";
/**
* Unet
* @description UNet submodel
*/
unet?: components["schemas"]["UNetField"];
/**
* Clip
* @description Tokenizer and text_encoder submodels
*/
clip?: components["schemas"]["ClipField"];
/**
* Vae Decoder
* @description Vae submodel
*/
vae_decoder?: components["schemas"]["VaeField"];
/**
* Vae Encoder
* @description Vae submodel
*/
vae_encoder?: components["schemas"]["VaeField"];
};
/**
* ONNXPromptInvocation
* @description A node to process inputs and produce outputs.
* May use dependency injection in __init__ to receive providers.
*/
ONNXPromptInvocation: {
/**
* 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 prompt_onnx
* @enum {string}
*/
type?: "prompt_onnx";
/**
* Prompt
* @description Prompt
* @default
*/
prompt?: string;
/**
* Clip
* @description Clip to use
*/
clip?: components["schemas"]["ClipField"];
};
/**
* ONNXSD1ModelLoaderInvocation
* @description Loading submodels of selected model.
*/
ONNXSD1ModelLoaderInvocation: {
/**
* 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 sd1_model_loader_onnx
* @enum {string}
*/
type?: "sd1_model_loader_onnx";
/**
* Model Name
* @description Model to load
* @default
*/
model_name?: string;
};
/** ONNXStableDiffusion1ModelConfig */
ONNXStableDiffusion1ModelConfig: {
/** Model Name */
model_name: string;
base_model: components["schemas"]["BaseModelType"];
/**
* Model Type
* @enum {string}
*/
model_type: "onnx";
/** Path */
path: string;
/** Description */
description?: string;
/** Model Format */
model_format: null;
error?: components["schemas"]["ModelError"];
variant: components["schemas"]["ModelVariantType"];
};
/** ONNXStableDiffusion2ModelConfig */
ONNXStableDiffusion2ModelConfig: {
/** Model Name */
model_name: string;
base_model: components["schemas"]["BaseModelType"];
/**
* Model Type
* @enum {string}
*/
model_type: "onnx";
/** Path */
path: string;
/** Description */
description?: string;
/** Model Format */
model_format: null;
error?: components["schemas"]["ModelError"];
variant: components["schemas"]["ModelVariantType"];
prediction_type: components["schemas"]["SchedulerPredictionType"];
/** Upcast Attention */
upcast_attention: boolean;
};
/**
* ONNXTextToLatentsInvocation
* @description Generates latents from conditionings.
*/
ONNXTextToLatentsInvocation: {
/**
* 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 t2l_onnx
* @enum {string}
*/
type?: "t2l_onnx";
/**
* Positive Conditioning
* @description Positive conditioning for generation
*/
positive_conditioning?: components["schemas"]["ConditioningField"];
/**
* Negative Conditioning
* @description Negative conditioning for generation
*/
negative_conditioning?: components["schemas"]["ConditioningField"];
/**
* Noise
* @description The noise to use
*/
noise?: components["schemas"]["LatentsField"];
/**
* Steps
* @description The number of steps to use to generate the image
* @default 10
*/
steps?: number;
/**
* Cfg Scale
* @description The Classifier-Free Guidance, higher values may result in a result closer to the prompt
* @default 7.5
*/
cfg_scale?: number | (number)[];
/**
* Scheduler
* @description The scheduler to use
* @default euler
* @enum {string}
*/
scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc";
/**
* Precision
* @description The precision to use when generating latents
* @default tensor(float16)
* @enum {string}
*/
precision?: "tensor(bool)" | "tensor(int8)" | "tensor(uint8)" | "tensor(int16)" | "tensor(uint16)" | "tensor(int32)" | "tensor(uint32)" | "tensor(int64)" | "tensor(uint64)" | "tensor(float16)" | "tensor(float)" | "tensor(double)";
/**
* Unet
* @description UNet submodel
*/
unet?: components["schemas"]["UNetField"];
/**
* Control
* @description The control to use
*/
control?: components["schemas"]["ControlField"] | (components["schemas"]["ControlField"])[];
};
/** /**
* OffsetPaginatedResults[BoardDTO] * OffsetPaginatedResults[BoardDTO]
* @description Offset-paginated results * @description Offset-paginated results
@ -3854,6 +4081,49 @@ export type components = {
*/ */
total: number; total: number;
}; };
/**
* OnnxModelField
* @description Onnx model field
*/
OnnxModelField: {
/**
* Model Name
* @description Name of the model
*/
model_name: string;
/** @description Base model */
base_model: components["schemas"]["BaseModelType"];
/** @description Model Type */
model_type: components["schemas"]["ModelType"];
};
/**
* OnnxModelLoaderInvocation
* @description Loads a main model, outputting its submodels.
*/
OnnxModelLoaderInvocation: {
/**
* 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 onnx_model_loader
* @enum {string}
*/
type?: "onnx_model_loader";
/**
* Model
* @description The model to load
*/
model: components["schemas"]["OnnxModelField"];
};
/** /**
* OpenposeImageProcessorInvocation * OpenposeImageProcessorInvocation
* @description Applies Openpose processing to image * @description Applies Openpose processing to image
@ -4958,6 +5228,12 @@ export type components = {
*/ */
antialias?: boolean; antialias?: boolean;
}; };
/**
* SchedulerPredictionType
* @description An enumeration.
* @enum {string}
*/
SchedulerPredictionType: "epsilon" | "v_prediction" | "sample";
/** /**
* SegmentAnythingProcessorInvocation * SegmentAnythingProcessorInvocation
* @description Applies segment anything processing to image * @description Applies segment anything processing to image
@ -5268,7 +5544,7 @@ export type components = {
* @description An enumeration. * @description An enumeration.
* @enum {string} * @enum {string}
*/ */
SubModelType: "unet" | "text_encoder" | "text_encoder_2" | "tokenizer" | "tokenizer_2" | "vae" | "scheduler" | "safety_checker"; SubModelType: "unet" | "text_encoder" | "text_encoder_2" | "tokenizer" | "tokenizer_2" | "vae" | "vae_decoder" | "vae_encoder" | "scheduler" | "safety_checker";
/** /**
* SubtractInvocation * SubtractInvocation
* @description Subtracts two numbers * @description Subtracts two numbers
@ -5586,6 +5862,12 @@ export type components = {
* @enum {string} * @enum {string}
*/ */
StableDiffusion1ModelFormat: "checkpoint" | "diffusers"; StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
/**
* StableDiffusionXLModelFormat
* @description An enumeration.
* @enum {string}
*/
StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
/** /**
* StableDiffusion2ModelFormat * StableDiffusion2ModelFormat
* @description An enumeration. * @description An enumeration.
@ -5593,11 +5875,11 @@ export type components = {
*/ */
StableDiffusion2ModelFormat: "checkpoint" | "diffusers"; StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
/** /**
* StableDiffusionXLModelFormat * ControlNetModelFormat
* @description An enumeration. * @description An enumeration.
* @enum {string} * @enum {string}
*/ */
StableDiffusionXLModelFormat: "checkpoint" | "diffusers"; ControlNetModelFormat: "checkpoint" | "diffusers";
}; };
responses: never; responses: never;
parameters: never; parameters: never;
@ -5708,7 +5990,7 @@ export type operations = {
}; };
requestBody: { requestBody: {
content: { content: {
"application/json": components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | 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"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | 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"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | 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"]["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"];
}; };
}; };
responses: { responses: {
@ -5745,7 +6027,7 @@ export type operations = {
}; };
requestBody: { requestBody: {
content: { content: {
"application/json": components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | 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"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | 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"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | 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"]["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"];
}; };
}; };
responses: { responses: {
@ -6009,14 +6291,14 @@ export type operations = {
}; };
requestBody: { requestBody: {
content: { content: {
"application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
}; };
}; };
responses: { responses: {
/** @description The model was updated successfully */ /** @description The model was updated successfully */
200: { 200: {
content: { content: {
"application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
}; };
}; };
/** @description Bad request */ /** @description Bad request */
@ -6047,7 +6329,7 @@ export type operations = {
/** @description The model imported successfully */ /** @description The model imported successfully */
201: { 201: {
content: { content: {
"application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
}; };
}; };
/** @description The model could not be found */ /** @description The model could not be found */
@ -6073,14 +6355,14 @@ export type operations = {
add_model: { add_model: {
requestBody: { requestBody: {
content: { content: {
"application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
}; };
}; };
responses: { responses: {
/** @description The model added successfully */ /** @description The model added successfully */
201: { 201: {
content: { content: {
"application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
}; };
}; };
/** @description The model could not be found */ /** @description The model could not be found */
@ -6120,7 +6402,7 @@ export type operations = {
/** @description Model converted successfully */ /** @description Model converted successfully */
200: { 200: {
content: { content: {
"application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
}; };
}; };
/** @description Bad request */ /** @description Bad request */
@ -6209,7 +6491,7 @@ export type operations = {
/** @description Model converted successfully */ /** @description Model converted successfully */
200: { 200: {
content: { content: {
"application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
}; };
}; };
/** @description Incompatible models */ /** @description Incompatible models */