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Removed things no longer needed in main

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This commit is contained in:
Brandon Rising 2023-07-27 10:14:55 -04:00
parent 989d3d7f3c
commit 81d8fb8762
136 changed files with 33 additions and 3737 deletions
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2
invokeai/frontend/web/dist/assets/App-00b5d2aa.js → invokeai/frontend/web/dist/assets/App-d564d655.js vendored
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invokeai/frontend/web/dist/assets/MantineProvider-9490892f.js → invokeai/frontend/web/dist/assets/MantineProvider-2dec55af.js vendored
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2
invokeai/frontend/web/dist/assets/ThemeLocaleProvider-0a0baf5d.js → invokeai/frontend/web/dist/assets/ThemeLocaleProvider-4b2d470d.js vendored
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@ -1,4 +1,4 @@
import{A as m,fT as Ze,z as y,a4 as Xa,fU as Ya,af as va,aj as d,fV as b,fW as t,fX as Ka,fY as h,fZ as ua,f_ as Za,f$ as Ja,aI as Qa,g0 as et,ad as rt,g1 as at}from"./index-28dc0456.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 $a,H as ka,J as dt,K as _a,L as ct,M as bt,N as vt,O as ut,Q as wa,R as ft,S as ht,T as mt,U as gt,V as yt,W as St,e as pt,X as xt}from"./MantineProvider-9490892f.js";var za=String.raw,Ca=za`
import{A as m,fT as Ze,z as y,a4 as Xa,fU as Ya,af as va,aj as d,fV as b,fW as t,fX as Ka,fY as h,fZ as ua,f_ as Za,f$ as Ja,aI as Qa,g0 as et,ad as rt,g1 as at}from"./index-a692ba97.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-2dec55af.js";var za=String.raw,Ca=za`
:root,
:host {
--chakra-vh: 100vh;

58
invokeai/frontend/web/dist/assets/index-28dc0456.js → invokeai/frontend/web/dist/assets/index-a692ba97.js vendored
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2
invokeai/frontend/web/dist/index.html vendored
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@ -12,7 +12,7 @@
margin: 0;
}
</style>
<script type="module" crossorigin src="./assets/index-28dc0456.js"></script>
<script type="module" crossorigin src="./assets/index-a692ba97.js"></script>
</head>
<body dir="ltr">

56
invokeai/frontend/web/src/features/system/store/models/sd1PipelineModelSlice.ts
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@ -1,56 +0,0 @@
import { createEntityAdapter, createSlice } from '@reduxjs/toolkit';
import { RootState } from 'app/store/store';
import {
StableDiffusion1ModelCheckpointConfig,
StableDiffusion1ModelDiffusersConfig,
} from 'services/api';
import { receivedModels } from 'services/thunks/model';
export type SD1PipelineModel = (
| StableDiffusion1ModelCheckpointConfig
| StableDiffusion1ModelDiffusersConfig
) & {
name: string;
};
export const sd1PipelineModelsAdapter = createEntityAdapter<SD1PipelineModel>({
selectId: (model) => model.name,
sortComparer: (a, b) => a.name.localeCompare(b.name),
});
export const sd1InitialPipelineModelsState =
sd1PipelineModelsAdapter.getInitialState();
export type SD1PipelineModelState = typeof sd1InitialPipelineModelsState;
export const sd1PipelineModelsSlice = createSlice({
name: 'sd1PipelineModels',
initialState: sd1InitialPipelineModelsState,
reducers: {
modelAdded: sd1PipelineModelsAdapter.upsertOne,
},
extraReducers(builder) {
/**
* Received Models - FULFILLED
*/
builder.addCase(receivedModels.fulfilled, (state, action) => {
if (action.meta.arg.baseModel !== 'sd-1') return;
sd1PipelineModelsAdapter.setAll(state, action.payload);
});
},
});
export const {
selectAll: selectAllSD1PipelineModels,
selectById: selectByIdSD1PipelineModels,
selectEntities: selectEntitiesSD1PipelineModels,
selectIds: selectIdsSD1PipelineModels,
selectTotal: selectTotalSD1PipelineModels,
} = sd1PipelineModelsAdapter.getSelectors<RootState>(
(state) => state.sd1pipelinemodels
);
export const { modelAdded } = sd1PipelineModelsSlice.actions;
export default sd1PipelineModelsSlice.reducer;

56
invokeai/frontend/web/src/features/system/store/models/sd2PipelineModelSlice.ts
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@ -1,56 +0,0 @@
import { createEntityAdapter, createSlice } from '@reduxjs/toolkit';
import { RootState } from 'app/store/store';
import {
StableDiffusion2ModelCheckpointConfig,
StableDiffusion2ModelDiffusersConfig,
} from 'services/api';
import { receivedModels } from 'services/thunks/model';
export type SD2PipelineModel = (
| StableDiffusion2ModelCheckpointConfig
| StableDiffusion2ModelDiffusersConfig
) & {
name: string;
};
export const sd2PipelineModelsAdapater = createEntityAdapter<SD2PipelineModel>({
selectId: (model) => model.name,
sortComparer: (a, b) => a.name.localeCompare(b.name),
});
export const sd2InitialPipelineModelsState =
sd2PipelineModelsAdapater.getInitialState();
export type SD2PipelineModelState = typeof sd2InitialPipelineModelsState;
export const sd2PipelineModelsSlice = createSlice({
name: 'sd2PipelineModels',
initialState: sd2InitialPipelineModelsState,
reducers: {
modelAdded: sd2PipelineModelsAdapater.upsertOne,
},
extraReducers(builder) {
/**
* Received Models - FULFILLED
*/
builder.addCase(receivedModels.fulfilled, (state, action) => {
if (action.meta.arg.baseModel !== 'sd-2') return;
sd2PipelineModelsAdapater.setAll(state, action.payload);
});
},
});
export const {
selectAll: selectAllSD2PipelineModels,
selectById: selectByIdSD2PipelineModels,
selectEntities: selectEntitiesSD2PipelineModels,
selectIds: selectIdsSD2PipelineModels,
selectTotal: selectTotalSD2PipelineModels,
} = sd2PipelineModelsAdapater.getSelectors<RootState>(
(state) => state.sd2pipelinemodels
);
export const { modelAdded } = sd2PipelineModelsSlice.actions;
export default sd2PipelineModelsSlice.reducer;

26
invokeai/frontend/web/src/services/api/models/AddInvocation.ts
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@ -1,26 +0,0 @@
/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
/**
* Adds two numbers
*/
export type AddInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'add';
/**
* The first number
*/
'a'?: number;
/**
* The second number
*/
'b'?: number;
};

14
invokeai/frontend/web/src/services/api/models/BoardChanges.ts
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@ -1,14 +0,0 @@
/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
export type BoardChanges = {
/**
* The board's new name.
*/
board_name?: string;
/**
* The name of the board's new cover image.
*/
cover_image_name?: string;
};

37
invokeai/frontend/web/src/services/api/models/BoardDTO.ts
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@ -1,37 +0,0 @@
/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
/**
* Deserialized board record with cover image URL and image count.
*/
export type BoardDTO = {
/**
* The unique ID of the board.
*/
board_id: string;
/**
* The name of the board.
*/
board_name: string;
/**
* The created timestamp of the board.
*/
created_at: string;
/**
* The updated timestamp of the board.
*/
updated_at: string;
/**
* The deleted timestamp of the board.
*/
deleted_at?: string;
/**
* The name of the board's cover image.
*/
cover_image_name?: string;
/**
* The number of images in the board.
*/
image_count: number;
};

14
invokeai/frontend/web/src/services/api/models/Body_create_board_image.ts
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@ -1,14 +0,0 @@
/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
export type Body_create_board_image = {
/**
* The id of the board to add to
*/
board_id: string;
/**
* The name of the image to add
*/
image_name: string;
};

14
invokeai/frontend/web/src/services/api/models/Body_remove_board_image.ts
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@ -1,14 +0,0 @@
/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
export type Body_remove_board_image = {
/**
* The id of the board
*/
board_id: string;
/**
* The name of the image to remove
*/
image_name: string;
};

7
invokeai/frontend/web/src/services/api/models/Body_upload_image.ts
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@ -1,7 +0,0 @@
/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
export type Body_upload_image = {
file: Blob;
};

32
invokeai/frontend/web/src/services/api/models/CannyImageProcessorInvocation.ts
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@ -1,32 +0,0 @@
/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { ImageField } from './ImageField';
/**
* Canny edge detection for ControlNet
*/
export type CannyImageProcessorInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'canny_image_processor';
/**
* The image to process
*/
image?: ImageField;
/**
* The low threshold of the Canny pixel gradient (0-255)
*/
low_threshold?: number;
/**
* The high threshold of the Canny pixel gradient (0-255)
*/
high_threshold?: number;
};

39
invokeai/frontend/web/src/services/api/models/CkptModelInfo.ts
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@ -1,39 +0,0 @@
/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
export type CkptModelInfo = {
/**
* A description of the model
*/
description?: string;
/**
* The name of the model
*/
model_name: string;
/**
* The type of the model
*/
model_type: string;
format?: 'ckpt';
/**
* The path to the model config
*/
config: string;
/**
* The path to the model weights
*/
weights: string;
/**
* The path to the model VAE
*/
vae: string;
/**
* The width of the model
*/
width?: number;
/**
* The height of the model
*/
height?: number;
};

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invokeai/frontend/web/src/services/api/models/ClipField.ts
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@ -1,21 +0,0 @@
/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { LoraInfo } from './LoraInfo';
import type { ModelInfo } from './ModelInfo';
export type ClipField = {
/**
* Info to load tokenizer submodel
*/
tokenizer: ModelInfo;
/**
* Info to load text_encoder submodel
*/
text_encoder: ModelInfo;
/**
* Loras to apply on model loading
*/
loras: Array<LoraInfo>;
};

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invokeai/frontend/web/src/services/api/models/CollectInvocation.ts
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@ -1,26 +0,0 @@
/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
/**
* Collects values into a collection
*/
export type CollectInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'collect';
/**
* The item to collect (all inputs must be of the same type)
*/
item?: any;
/**
* The collection, will be provided on execution
*/
collection?: Array<any>;
};

14
invokeai/frontend/web/src/services/api/models/CollectInvocationOutput.ts
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@ -1,14 +0,0 @@
/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
/**
* Base class for all invocation outputs
*/
export type CollectInvocationOutput = {
type: 'collect_output';
/**
* The collection of input items
*/
collection: Array<any>;
};

22
invokeai/frontend/web/src/services/api/models/ColorField.ts
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@ -1,22 +0,0 @@
/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
export type ColorField = {
/**
* The red component
*/
'r': number;
/**
* The green component
*/
'g': number;
/**
* The blue component
*/
'b': number;
/**
* The alpha component
*/
'a': number;
};

28
invokeai/frontend/web/src/services/api/models/CompelInvocation.ts
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@ -1,28 +0,0 @@
/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { ClipField } from './ClipField';
/**
* Parse prompt using compel package to conditioning.
*/
export type CompelInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'compel';
/**
* Prompt
*/
prompt?: string;
/**
* Clip to use
*/
clip?: ClipField;
};

16
invokeai/frontend/web/src/services/api/models/CompelOutput.ts
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@ -1,16 +0,0 @@
/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { ConditioningField } from './ConditioningField';
/**
* Compel parser output
*/
export type CompelOutput = {
type?: 'compel_output';
/**
* Conditioning
*/
conditioning?: ConditioningField;
};

10
invokeai/frontend/web/src/services/api/models/ConditioningField.ts
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@ -1,10 +0,0 @@
/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
export type ConditioningField = {
/**
* The name of conditioning data
*/
conditioning_name: string;
};

44
invokeai/frontend/web/src/services/api/models/ContentShuffleImageProcessorInvocation.ts
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@ -1,44 +0,0 @@
/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { ImageField } from './ImageField';
/**
* Applies content shuffle processing to image
*/
export type ContentShuffleImageProcessorInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'content_shuffle_image_processor';
/**
* The image to process
*/
image?: ImageField;
/**
* The pixel resolution for detection
*/
detect_resolution?: number;
/**
* The pixel resolution for the output image
*/
image_resolution?: number;
/**
* Content shuffle `h` parameter
*/
'h'?: number;
/**
* Content shuffle `w` parameter
*/
'w'?: number;
/**
* Content shuffle `f` parameter
*/
'f'?: number;
};

28
invokeai/frontend/web/src/services/api/models/ControlField.ts
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@ -1,28 +0,0 @@
/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { ImageField } from './ImageField';
export type ControlField = {
/**
* The control image
*/
image: ImageField;
/**
* The ControlNet model to use
*/
control_model: string;
/**
* The weight given to the ControlNet
*/
control_weight: (number | Array<number>);
/**
* When the ControlNet is first applied (% of total steps)
*/
begin_step_percent: number;
/**
* When the ControlNet is last applied (% of total steps)
*/
end_step_percent: number;
};

40
invokeai/frontend/web/src/services/api/models/ControlNetInvocation.ts
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@ -1,40 +0,0 @@
/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { ImageField } from './ImageField';
/**
* Collects ControlNet info to pass to other nodes
*/
export type ControlNetInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'controlnet';
/**
* The control image
*/
image?: ImageField;
/**
* control model used
*/
control_model?: 'lllyasviel/sd-controlnet-canny' | 'lllyasviel/sd-controlnet-depth' | 'lllyasviel/sd-controlnet-hed' | 'lllyasviel/sd-controlnet-seg' | 'lllyasviel/sd-controlnet-openpose' | 'lllyasviel/sd-controlnet-scribble' | 'lllyasviel/sd-controlnet-normal' | 'lllyasviel/sd-controlnet-mlsd' | 'lllyasviel/control_v11p_sd15_canny' | 'lllyasviel/control_v11p_sd15_openpose' | 'lllyasviel/control_v11p_sd15_seg' | 'lllyasviel/control_v11f1p_sd15_depth' | 'lllyasviel/control_v11p_sd15_normalbae' | 'lllyasviel/control_v11p_sd15_scribble' | 'lllyasviel/control_v11p_sd15_mlsd' | 'lllyasviel/control_v11p_sd15_softedge' | 'lllyasviel/control_v11p_sd15s2_lineart_anime' | 'lllyasviel/control_v11p_sd15_lineart' | 'lllyasviel/control_v11p_sd15_inpaint' | 'lllyasviel/control_v11e_sd15_shuffle' | 'lllyasviel/control_v11e_sd15_ip2p' | 'lllyasviel/control_v11f1e_sd15_tile' | 'thibaud/controlnet-sd21-openpose-diffusers' | 'thibaud/controlnet-sd21-canny-diffusers' | 'thibaud/controlnet-sd21-depth-diffusers' | 'thibaud/controlnet-sd21-scribble-diffusers' | 'thibaud/controlnet-sd21-hed-diffusers' | 'thibaud/controlnet-sd21-zoedepth-diffusers' | 'thibaud/controlnet-sd21-color-diffusers' | 'thibaud/controlnet-sd21-openposev2-diffusers' | 'thibaud/controlnet-sd21-lineart-diffusers' | 'thibaud/controlnet-sd21-normalbae-diffusers' | 'thibaud/controlnet-sd21-ade20k-diffusers' | 'CrucibleAI/ControlNetMediaPipeFace,diffusion_sd15' | 'CrucibleAI/ControlNetMediaPipeFace';
/**
* The weight given to the ControlNet
*/
control_weight?: (number | Array<number>);
/**
* When the ControlNet is first applied (% of total steps)
*/
begin_step_percent?: number;
/**
* When the ControlNet is last applied (% of total steps)
*/
end_step_percent?: number;
};

17
invokeai/frontend/web/src/services/api/models/ControlNetModelConfig.ts
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@ -1,17 +0,0 @@
/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { BaseModelType } from './BaseModelType';
import type { ControlNetModelFormat } from './ControlNetModelFormat';
import type { ModelError } from './ModelError';
export type ControlNetModelConfig = {
name: string;
base_model: BaseModelType;
type: 'controlnet';
path: string;
description?: string;
model_format: ControlNetModelFormat;
error?: ModelError;
};

16
invokeai/frontend/web/src/services/api/models/ControlOutput.ts
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@ -1,16 +0,0 @@
/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { ControlField } from './ControlField';
/**
* node output for ControlNet info
*/
export type ControlOutput = {
type?: 'control_output';
/**
* The control info
*/
control?: ControlField;
};

17
invokeai/frontend/web/src/services/api/models/CreateModelRequest.ts
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@ -1,17 +0,0 @@
/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { CkptModelInfo } from './CkptModelInfo';
import type { DiffusersModelInfo } from './DiffusersModelInfo';
export type CreateModelRequest = {
/**
* The name of the model
*/
name: string;
/**
* The model info
*/
info: (CkptModelInfo | DiffusersModelInfo);
};

28
invokeai/frontend/web/src/services/api/models/CvInpaintInvocation.ts
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@ -1,28 +0,0 @@
/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { ImageField } from './ImageField';
/**
* Simple inpaint using opencv.
*/
export type CvInpaintInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'cv_inpaint';
/**
* The image to inpaint
*/
image?: ImageField;
/**
* The mask to use when inpainting
*/
mask?: ImageField;
};

33
invokeai/frontend/web/src/services/api/models/DiffusersModelInfo.ts
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@ -1,33 +0,0 @@
/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { VaeRepo } from './VaeRepo';
export type DiffusersModelInfo = {
/**
* A description of the model
*/
description?: string;
/**
* The name of the model
*/
model_name: string;
/**
* The type of the model
*/
model_type: string;
format?: 'folder';
/**
* The VAE repo to use for this model
*/
vae?: VaeRepo;
/**
* The repo ID to use for this model
*/
repo_id?: string;
/**
* The path to the model
*/
path?: string;
};

26
invokeai/frontend/web/src/services/api/models/DivideInvocation.ts
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@ -1,26 +0,0 @@
/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
/**
* Divides two numbers
*/
export type DivideInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'div';
/**
* The first number
*/
'a'?: number;
/**
* The second number
*/
'b'?: number;
};

30
invokeai/frontend/web/src/services/api/models/DynamicPromptInvocation.ts
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@ -1,30 +0,0 @@
/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
/**
* Parses a prompt using adieyal/dynamicprompts' random or combinatorial generator
*/
export type DynamicPromptInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'dynamic_prompt';
/**
* The prompt to parse with dynamicprompts
*/
prompt: string;
/**
* The number of prompts to generate
*/
max_prompts?: number;
/**
* Whether to use the combinatorial generator
*/
combinatorial?: boolean;
};

16
invokeai/frontend/web/src/services/api/models/Edge.ts
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@ -1,16 +0,0 @@
/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { EdgeConnection } from './EdgeConnection';
export type Edge = {
/**
* The connection for the edge's from node and field
*/
source: EdgeConnection;
/**
* The connection for the edge's to node and field
*/
destination: EdgeConnection;
};

14
invokeai/frontend/web/src/services/api/models/EdgeConnection.ts
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@ -1,14 +0,0 @@
/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
export type EdgeConnection = {
/**
* The id of the node for this edge connection
*/
node_id: string;
/**
* The field for this connection
*/
field: string;
};

14
invokeai/frontend/web/src/services/api/models/FloatCollectionOutput.ts
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@ -1,14 +0,0 @@
/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
/**
* A collection of floats
*/
export type FloatCollectionOutput = {
type?: 'float_collection';
/**
* The float collection
*/
collection?: Array<number>;
};

30
invokeai/frontend/web/src/services/api/models/FloatLinearRangeInvocation.ts
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/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
/**
* Creates a range
*/
export type FloatLinearRangeInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'float_range';
/**
* The first value of the range
*/
start?: number;
/**
* The last value of the range
*/
stop?: number;
/**
* number of values to interpolate over (including start and stop)
*/
steps?: number;
};

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invokeai/frontend/web/src/services/api/models/FloatOutput.ts
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/* tslint:disable */
/* eslint-disable */
/**
* A float output
*/
export type FloatOutput = {
type?: 'float_output';
/**
* The output float
*/
param?: number;
};

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/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { AddInvocation } from './AddInvocation';
import type { CannyImageProcessorInvocation } from './CannyImageProcessorInvocation';
import type { CollectInvocation } from './CollectInvocation';
import type { CompelInvocation } from './CompelInvocation';
import type { ContentShuffleImageProcessorInvocation } from './ContentShuffleImageProcessorInvocation';
import type { ControlNetInvocation } from './ControlNetInvocation';
import type { CvInpaintInvocation } from './CvInpaintInvocation';
import type { DivideInvocation } from './DivideInvocation';
import type { DynamicPromptInvocation } from './DynamicPromptInvocation';
import type { Edge } from './Edge';
import type { FloatLinearRangeInvocation } from './FloatLinearRangeInvocation';
import type { GraphInvocation } from './GraphInvocation';
import type { HedImageProcessorInvocation } from './HedImageProcessorInvocation';
import type { ImageBlurInvocation } from './ImageBlurInvocation';
import type { ImageChannelInvocation } from './ImageChannelInvocation';
import type { ImageConvertInvocation } from './ImageConvertInvocation';
import type { ImageCropInvocation } from './ImageCropInvocation';
import type { ImageInverseLerpInvocation } from './ImageInverseLerpInvocation';
import type { ImageLerpInvocation } from './ImageLerpInvocation';
import type { ImageMultiplyInvocation } from './ImageMultiplyInvocation';
import type { ImagePasteInvocation } from './ImagePasteInvocation';
import type { ImageProcessorInvocation } from './ImageProcessorInvocation';
import type { ImageResizeInvocation } from './ImageResizeInvocation';
import type { ImageScaleInvocation } from './ImageScaleInvocation';
import type { ImageToLatentsInvocation } from './ImageToLatentsInvocation';
import type { InfillColorInvocation } from './InfillColorInvocation';
import type { InfillPatchMatchInvocation } from './InfillPatchMatchInvocation';
import type { InfillTileInvocation } from './InfillTileInvocation';
import type { InpaintInvocation } from './InpaintInvocation';
import type { IterateInvocation } from './IterateInvocation';
import type { LatentsToImageInvocation } from './LatentsToImageInvocation';
import type { LatentsToLatentsInvocation } from './LatentsToLatentsInvocation';
import type { LineartAnimeImageProcessorInvocation } from './LineartAnimeImageProcessorInvocation';
import type { LineartImageProcessorInvocation } from './LineartImageProcessorInvocation';
import type { LoadImageInvocation } from './LoadImageInvocation';
import type { LoraLoaderInvocation } from './LoraLoaderInvocation';
import type { MaskFromAlphaInvocation } from './MaskFromAlphaInvocation';
import type { MediapipeFaceProcessorInvocation } from './MediapipeFaceProcessorInvocation';
import type { MidasDepthImageProcessorInvocation } from './MidasDepthImageProcessorInvocation';
import type { MlsdImageProcessorInvocation } from './MlsdImageProcessorInvocation';
import type { MultiplyInvocation } from './MultiplyInvocation';
import type { NoiseInvocation } from './NoiseInvocation';
import type { NormalbaeImageProcessorInvocation } from './NormalbaeImageProcessorInvocation';
import type { ONNXLatentsToImageInvocation } from './ONNXLatentsToImageInvocation';
import type { ONNXPromptInvocation } from './ONNXPromptInvocation';
import type { ONNXSD1ModelLoaderInvocation } from './ONNXSD1ModelLoaderInvocation';
import type { ONNXTextToLatentsInvocation } from './ONNXTextToLatentsInvocation';
import type { OpenposeImageProcessorInvocation } from './OpenposeImageProcessorInvocation';
import type { ParamFloatInvocation } from './ParamFloatInvocation';
import type { ParamIntInvocation } from './ParamIntInvocation';
import type { PidiImageProcessorInvocation } from './PidiImageProcessorInvocation';
import type { PipelineModelLoaderInvocation } from './PipelineModelLoaderInvocation';
import type { RandomIntInvocation } from './RandomIntInvocation';
import type { RandomRangeInvocation } from './RandomRangeInvocation';
import type { RangeInvocation } from './RangeInvocation';
import type { RangeOfSizeInvocation } from './RangeOfSizeInvocation';
import type { ResizeLatentsInvocation } from './ResizeLatentsInvocation';
import type { RestoreFaceInvocation } from './RestoreFaceInvocation';
import type { ScaleLatentsInvocation } from './ScaleLatentsInvocation';
import type { ShowImageInvocation } from './ShowImageInvocation';
import type { StepParamEasingInvocation } from './StepParamEasingInvocation';
import type { SubtractInvocation } from './SubtractInvocation';
import type { TextToLatentsInvocation } from './TextToLatentsInvocation';
import type { UpscaleInvocation } from './UpscaleInvocation';
import type { ZoeDepthImageProcessorInvocation } from './ZoeDepthImageProcessorInvocation';
export type Graph = {
/**
* The id of this graph
*/
id?: string;
/**
* The nodes in this graph
*/
nodes?: Record<string, (RangeInvocation | RangeOfSizeInvocation | RandomRangeInvocation | PipelineModelLoaderInvocation | LoraLoaderInvocation | CompelInvocation | LoadImageInvocation | ShowImageInvocation | ImageCropInvocation | ImagePasteInvocation | MaskFromAlphaInvocation | ImageMultiplyInvocation | ImageChannelInvocation | ImageConvertInvocation | ImageBlurInvocation | ImageResizeInvocation | ImageScaleInvocation | ImageLerpInvocation | ImageInverseLerpInvocation | ControlNetInvocation | ImageProcessorInvocation | CvInpaintInvocation | NoiseInvocation | TextToLatentsInvocation | LatentsToImageInvocation | ResizeLatentsInvocation | ScaleLatentsInvocation | ImageToLatentsInvocation | InpaintInvocation | InfillColorInvocation | InfillTileInvocation | InfillPatchMatchInvocation | AddInvocation | SubtractInvocation | MultiplyInvocation | DivideInvocation | RandomIntInvocation | ONNXPromptInvocation | ONNXTextToLatentsInvocation | ONNXLatentsToImageInvocation | ONNXSD1ModelLoaderInvocation | ParamIntInvocation | ParamFloatInvocation | FloatLinearRangeInvocation | StepParamEasingInvocation | DynamicPromptInvocation | RestoreFaceInvocation | UpscaleInvocation | GraphInvocation | IterateInvocation | CollectInvocation | CannyImageProcessorInvocation | HedImageProcessorInvocation | LineartImageProcessorInvocation | LineartAnimeImageProcessorInvocation | OpenposeImageProcessorInvocation | MidasDepthImageProcessorInvocation | NormalbaeImageProcessorInvocation | MlsdImageProcessorInvocation | PidiImageProcessorInvocation | ContentShuffleImageProcessorInvocation | ZoeDepthImageProcessorInvocation | MediapipeFaceProcessorInvocation | LatentsToLatentsInvocation)>;
/**
* The connections between nodes and their fields in this graph
*/
edges?: Array<Edge>;
};

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/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { CollectInvocationOutput } from './CollectInvocationOutput';
import type { CompelOutput } from './CompelOutput';
import type { ControlOutput } from './ControlOutput';
import type { FloatCollectionOutput } from './FloatCollectionOutput';
import type { FloatOutput } from './FloatOutput';
import type { Graph } from './Graph';
import type { GraphInvocationOutput } from './GraphInvocationOutput';
import type { ImageOutput } from './ImageOutput';
import type { IntCollectionOutput } from './IntCollectionOutput';
import type { IntOutput } from './IntOutput';
import type { IterateInvocationOutput } from './IterateInvocationOutput';
import type { LatentsOutput } from './LatentsOutput';
import type { LoraLoaderOutput } from './LoraLoaderOutput';
import type { MaskOutput } from './MaskOutput';
import type { ModelLoaderOutput } from './ModelLoaderOutput';
import type { NoiseOutput } from './NoiseOutput';
import type { ONNXModelLoaderOutput } from './ONNXModelLoaderOutput';
import type { PromptCollectionOutput } from './PromptCollectionOutput';
import type { PromptOutput } from './PromptOutput';
/**
* Tracks the state of a graph execution
*/
export type GraphExecutionState = {
/**
* The id of the execution state
*/
id: string;
/**
* The graph being executed
*/
graph: Graph;
/**
* The expanded graph of activated and executed nodes
*/
execution_graph: Graph;
/**
* The set of node ids that have been executed
*/
executed: Array<string>;
/**
* The list of node ids that have been executed, in order of execution
*/
executed_history: Array<string>;
/**
* The results of node executions
*/
results: Record<string, (IntCollectionOutput | FloatCollectionOutput | ModelLoaderOutput | LoraLoaderOutput | CompelOutput | ImageOutput | MaskOutput | ControlOutput | LatentsOutput | NoiseOutput | IntOutput | FloatOutput | ONNXModelLoaderOutput | PromptOutput | PromptCollectionOutput | GraphInvocationOutput | IterateInvocationOutput | CollectInvocationOutput)>;
/**
* Errors raised when executing nodes
*/
errors: Record<string, string>;
/**
* The map of prepared nodes to original graph nodes
*/
prepared_source_mapping: Record<string, string>;
/**
* The map of original graph nodes to prepared nodes
*/
source_prepared_mapping: Record<string, Array<string>>;
};

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invokeai/frontend/web/src/services/api/models/GraphInvocation.ts
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/* tslint:disable */
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import type { Graph } from './Graph';
/**
* Execute a graph
*/
export type GraphInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'graph';
/**
* The graph to run
*/
graph?: Graph;
};

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invokeai/frontend/web/src/services/api/models/GraphInvocationOutput.ts
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/* tslint:disable */
/* eslint-disable */
/**
* Base class for all invocation outputs
*/
export type GraphInvocationOutput = {
type: 'graph_output';
};

9
invokeai/frontend/web/src/services/api/models/HTTPValidationError.ts
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/* tslint:disable */
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import type { ValidationError } from './ValidationError';
export type HTTPValidationError = {
detail?: Array<ValidationError>;
};

32
invokeai/frontend/web/src/services/api/models/ImageBlurInvocation.ts
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/* tslint:disable */
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import type { ImageField } from './ImageField';
/**
* Blurs an image
*/
export type ImageBlurInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'img_blur';
/**
* The image to blur
*/
image?: ImageField;
/**
* The blur radius
*/
radius?: number;
/**
* The type of blur
*/
blur_type?: 'gaussian' | 'box';
};

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invokeai/frontend/web/src/services/api/models/ImageChannelInvocation.ts
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/* tslint:disable */
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import type { ImageField } from './ImageField';
/**
* Gets a channel from an image.
*/
export type ImageChannelInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'img_chan';
/**
* The image to get the channel from
*/
image?: ImageField;
/**
* The channel to get
*/
channel?: 'A' | 'R' | 'G' | 'B';
};

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invokeai/frontend/web/src/services/api/models/ImageConvertInvocation.ts
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/* tslint:disable */
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import type { ImageField } from './ImageField';
/**
* Converts an image to a different mode.
*/
export type ImageConvertInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'img_conv';
/**
* The image to convert
*/
image?: ImageField;
/**
* The mode to convert to
*/
mode?: 'L' | 'RGB' | 'RGBA' | 'CMYK' | 'YCbCr' | 'LAB' | 'HSV' | 'I' | 'F';
};

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/* tslint:disable */
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import type { ImageField } from './ImageField';
/**
* Crops an image to a specified box. The box can be outside of the image.
*/
export type ImageCropInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'img_crop';
/**
* The image to crop
*/
image?: ImageField;
/**
* The left x coordinate of the crop rectangle
*/
'x'?: number;
/**
* The top y coordinate of the crop rectangle
*/
'y'?: number;
/**
* The width of the crop rectangle
*/
width?: number;
/**
* The height of the crop rectangle
*/
height?: number;
};

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/* tslint:disable */
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import type { ImageCategory } from './ImageCategory';
import type { ImageMetadata } from './ImageMetadata';
import type { ResourceOrigin } from './ResourceOrigin';
/**
* Deserialized image record, enriched for the frontend.
*/
export type ImageDTO = {
/**
* The unique name of the image.
*/
image_name: string;
/**
* The URL of the image.
*/
image_url: string;
/**
* The URL of the image's thumbnail.
*/
thumbnail_url: string;
/**
* The type of the image.
*/
image_origin: ResourceOrigin;
/**
* The category of the image.
*/
image_category: ImageCategory;
/**
* The width of the image in px.
*/
width: number;
/**
* The height of the image in px.
*/
height: number;
/**
* The created timestamp of the image.
*/
created_at: string;
/**
* The updated timestamp of the image.
*/
updated_at: string;
/**
* The deleted timestamp of the image.
*/
deleted_at?: string;
/**
* Whether this is an intermediate image.
*/
is_intermediate: boolean;
/**
* The session ID that generated this image, if it is a generated image.
*/
session_id?: string;
/**
* The node ID that generated this image, if it is a generated image.
*/
node_id?: string;
/**
* A limited subset of the image's generation metadata. Retrieve the image's session for full metadata.
*/
metadata?: ImageMetadata;
/**
* The id of the board the image belongs to, if one exists.
*/
board_id?: string;
};

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invokeai/frontend/web/src/services/api/models/ImageField.ts
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/**
* An image field used for passing image objects between invocations
*/
export type ImageField = {
/**
* The name of the image
*/
image_name: string;
};

32
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/* tslint:disable */
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import type { ImageField } from './ImageField';
/**
* Inverse linear interpolation of all pixels of an image
*/
export type ImageInverseLerpInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'img_ilerp';
/**
* The image to lerp
*/
image?: ImageField;
/**
* The minimum input value
*/
min?: number;
/**
* The maximum input value
*/
max?: number;
};

32
invokeai/frontend/web/src/services/api/models/ImageLerpInvocation.ts
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/* tslint:disable */
/* eslint-disable */
import type { ImageField } from './ImageField';
/**
* Linear interpolation of all pixels of an image
*/
export type ImageLerpInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'img_lerp';
/**
* The image to lerp
*/
image?: ImageField;
/**
* The minimum output value
*/
min?: number;
/**
* The maximum output value
*/
max?: number;
};

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invokeai/frontend/web/src/services/api/models/ImageMetadata.ts
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/**
* Core generation metadata for an image/tensor generated in InvokeAI.
*
* Also includes any metadata from the image's PNG tEXt chunks.
*
* Generated by traversing the execution graph, collecting the parameters of the nearest ancestors
* of a given node.
*
* Full metadata may be accessed by querying for the session in the `graph_executions` table.
*/
export type ImageMetadata = {
/**
* The type of the ancestor node of the image output node.
*/
type?: string;
/**
* The positive conditioning.
*/
positive_conditioning?: string;
/**
* The negative conditioning.
*/
negative_conditioning?: string;
/**
* Width of the image/latents in pixels.
*/
width?: number;
/**
* Height of the image/latents in pixels.
*/
height?: number;
/**
* The seed used for noise generation.
*/
seed?: number;
/**
* The classifier-free guidance scale.
*/
cfg_scale?: (number | Array<number>);
/**
* The number of steps used for inference.
*/
steps?: number;
/**
* The scheduler used for inference.
*/
scheduler?: string;
/**
* The model used for inference.
*/
model?: string;
/**
* The strength used for image-to-image/latents-to-latents.
*/
strength?: number;
/**
* The ID of the initial latents.
*/
latents?: string;
/**
* The VAE used for decoding.
*/
vae?: string;
/**
* The UNet used dor inference.
*/
unet?: string;
/**
* The CLIP Encoder used for conditioning.
*/
clip?: string;
/**
* Uploaded image metadata, extracted from the PNG tEXt chunk.
*/
extra?: string;
};

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invokeai/frontend/web/src/services/api/models/ImageMultiplyInvocation.ts
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/* tslint:disable */
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import type { ImageField } from './ImageField';
/**
* Multiplies two images together using `PIL.ImageChops.multiply()`.
*/
export type ImageMultiplyInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'img_mul';
/**
* The first image to multiply
*/
image1?: ImageField;
/**
* The second image to multiply
*/
image2?: ImageField;
};

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invokeai/frontend/web/src/services/api/models/ImageOutput.ts
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/* tslint:disable */
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import type { ImageField } from './ImageField';
/**
* Base class for invocations that output an image
*/
export type ImageOutput = {
type: 'image_output';
/**
* The output image
*/
image: ImageField;
/**
* The width of the image in pixels
*/
width: number;
/**
* The height of the image in pixels
*/
height: number;
};

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/* tslint:disable */
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import type { ImageField } from './ImageField';
/**
* Pastes an image into another image.
*/
export type ImagePasteInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'img_paste';
/**
* The base image
*/
base_image?: ImageField;
/**
* The image to paste
*/
image?: ImageField;
/**
* The mask to use when pasting
*/
mask?: ImageField;
/**
* The left x coordinate at which to paste the image
*/
'x'?: number;
/**
* The top y coordinate at which to paste the image
*/
'y'?: number;
};

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invokeai/frontend/web/src/services/api/models/ImageProcessorInvocation.ts
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/* tslint:disable */
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import type { ImageField } from './ImageField';
/**
* Base class for invocations that preprocess images for ControlNet
*/
export type ImageProcessorInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'image_processor';
/**
* The image to process
*/
image?: ImageField;
};

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invokeai/frontend/web/src/services/api/models/ImageRecordChanges.ts
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import type { ImageCategory } from './ImageCategory';
/**
* A set of changes to apply to an image record.
*
* Only limited changes are valid:
* - `image_category`: change the category of an image
* - `session_id`: change the session associated with an image
* - `is_intermediate`: change the image's `is_intermediate` flag
*/
export type ImageRecordChanges = {
/**
* The image's new category.
*/
image_category?: ImageCategory;
/**
* The image's new session ID.
*/
session_id?: string;
/**
* The image's new `is_intermediate` flag.
*/
is_intermediate?: boolean;
};

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/* tslint:disable */
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import type { ImageField } from './ImageField';
/**
* Resizes an image to specific dimensions
*/
export type ImageResizeInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'img_resize';
/**
* The image to resize
*/
image?: ImageField;
/**
* The width to resize to (px)
*/
width: number;
/**
* The height to resize to (px)
*/
height: number;
/**
* The resampling mode
*/
resample_mode?: 'nearest' | 'box' | 'bilinear' | 'hamming' | 'bicubic' | 'lanczos';
};

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invokeai/frontend/web/src/services/api/models/ImageScaleInvocation.ts
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/* tslint:disable */
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import type { ImageField } from './ImageField';
/**
* Scales an image by a factor
*/
export type ImageScaleInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'img_scale';
/**
* The image to scale
*/
image?: ImageField;
/**
* The factor by which to scale the image
*/
scale_factor: number;
/**
* The resampling mode
*/
resample_mode?: 'nearest' | 'box' | 'bilinear' | 'hamming' | 'bicubic' | 'lanczos';
};

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import type { ImageField } from './ImageField';
import type { VaeField } from './VaeField';
/**
* Encodes an image into latents.
*/
export type ImageToLatentsInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'i2l';
/**
* The image to encode
*/
image?: ImageField;
/**
* Vae submodel
*/
vae?: VaeField;
/**
* Encode latents by overlaping tiles(less memory consumption)
*/
tiled?: boolean;
};

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invokeai/frontend/web/src/services/api/models/ImageUrlsDTO.ts
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/**
* The URLs for an image and its thumbnail.
*/
export type ImageUrlsDTO = {
/**
* The unique name of the image.
*/
image_name: string;
/**
* The URL of the image.
*/
image_url: string;
/**
* The URL of the image's thumbnail.
*/
thumbnail_url: string;
};

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invokeai/frontend/web/src/services/api/models/InfillColorInvocation.ts
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/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { ColorField } from './ColorField';
import type { ImageField } from './ImageField';
/**
* Infills transparent areas of an image with a solid color
*/
export type InfillColorInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'infill_rgba';
/**
* The image to infill
*/
image?: ImageField;
/**
* The color to use to infill
*/
color?: ColorField;
};

24
invokeai/frontend/web/src/services/api/models/InfillPatchMatchInvocation.ts
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/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { ImageField } from './ImageField';
/**
* Infills transparent areas of an image using the PatchMatch algorithm
*/
export type InfillPatchMatchInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'infill_patchmatch';
/**
* The image to infill
*/
image?: ImageField;
};

32
invokeai/frontend/web/src/services/api/models/InfillTileInvocation.ts
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/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { ImageField } from './ImageField';
/**
* Infills transparent areas of an image with tiles of the image
*/
export type InfillTileInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'infill_tile';
/**
* The image to infill
*/
image?: ImageField;
/**
* The tile size (px)
*/
tile_size?: number;
/**
* The seed to use for tile generation (omit for random)
*/
seed?: number;
};

120
invokeai/frontend/web/src/services/api/models/InpaintInvocation.ts
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/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { ColorField } from './ColorField';
import type { ConditioningField } from './ConditioningField';
import type { ImageField } from './ImageField';
import type { UNetField } from './UNetField';
import type { VaeField } from './VaeField';
/**
* Generates an image using inpaint.
*/
export type InpaintInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'inpaint';
/**
* Positive conditioning for generation
*/
positive_conditioning?: ConditioningField;
/**
* Negative conditioning for generation
*/
negative_conditioning?: ConditioningField;
/**
* The seed to use (omit for random)
*/
seed?: number;
/**
* The number of steps to use to generate the image
*/
steps?: number;
/**
* The width of the resulting image
*/
width?: number;
/**
* The height of the resulting image
*/
height?: number;
/**
* The Classifier-Free Guidance, higher values may result in a result closer to the prompt
*/
cfg_scale?: number;
/**
* The scheduler to use
*/
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';
/**
* UNet model
*/
unet?: UNetField;
/**
* Vae model
*/
vae?: VaeField;
/**
* The input image
*/
image?: ImageField;
/**
* The strength of the original image
*/
strength?: number;
/**
* Whether or not the result should be fit to the aspect ratio of the input image
*/
fit?: boolean;
/**
* The mask
*/
mask?: ImageField;
/**
* The seam inpaint size (px)
*/
seam_size?: number;
/**
* The seam inpaint blur radius (px)
*/
seam_blur?: number;
/**
* The seam inpaint strength
*/
seam_strength?: number;
/**
* The number of steps to use for seam inpaint
*/
seam_steps?: number;
/**
* The tile infill method size (px)
*/
tile_size?: number;
/**
* The method used to infill empty regions (px)
*/
infill_method?: 'patchmatch' | 'tile' | 'solid';
/**
* The width of the inpaint region (px)
*/
inpaint_width?: number;
/**
* The height of the inpaint region (px)
*/
inpaint_height?: number;
/**
* The solid infill method color
*/
inpaint_fill?: ColorField;
/**
* The amount by which to replace masked areas with latent noise
*/
inpaint_replace?: number;
};

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invokeai/frontend/web/src/services/api/models/IntCollectionOutput.ts
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/* tslint:disable */
/* eslint-disable */
/**
* A collection of integers
*/
export type IntCollectionOutput = {
type?: 'int_collection';
/**
* The int collection
*/
collection?: Array<number>;
};

14
invokeai/frontend/web/src/services/api/models/IntOutput.ts
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/* tslint:disable */
/* eslint-disable */
/**
* An integer output
*/
export type IntOutput = {
type?: 'int_output';
/**
* The output integer
*/
'a'?: number;
};

26
invokeai/frontend/web/src/services/api/models/IterateInvocation.ts
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/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
/**
* Iterates over a list of items
*/
export type IterateInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'iterate';
/**
* The list of items to iterate over
*/
collection?: Array<any>;
/**
* The index, will be provided on executed iterators
*/
index?: number;
};

14
invokeai/frontend/web/src/services/api/models/IterateInvocationOutput.ts
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/* tslint:disable */
/* eslint-disable */
/**
* Used to connect iteration outputs. Will be expanded to a specific output.
*/
export type IterateInvocationOutput = {
type: 'iterate_output';
/**
* The item being iterated over
*/
item: any;
};

13
invokeai/frontend/web/src/services/api/models/LatentsField.ts
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/* tslint:disable */
/* eslint-disable */
/**
* A latents field used for passing latents between invocations
*/
export type LatentsField = {
/**
* The name of the latents
*/
latents_name: string;
};

24
invokeai/frontend/web/src/services/api/models/LatentsOutput.ts
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/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { LatentsField } from './LatentsField';
/**
* Base class for invocations that output latents
*/
export type LatentsOutput = {
type?: 'latents_output';
/**
* The output latents
*/
latents?: LatentsField;
/**
* The width of the latents in pixels
*/
width: number;
/**
* The height of the latents in pixels
*/
height: number;
};

33
invokeai/frontend/web/src/services/api/models/LatentsToImageInvocation.ts
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/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { LatentsField } from './LatentsField';
import type { VaeField } from './VaeField';
/**
* Generates an image from latents.
*/
export type LatentsToImageInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'l2i';
/**
* The latents to generate an image from
*/
latents?: LatentsField;
/**
* Vae submodel
*/
vae?: VaeField;
/**
* Decode latents by overlaping tiles(less memory consumption)
*/
tiled?: boolean;
};

63
invokeai/frontend/web/src/services/api/models/LatentsToLatentsInvocation.ts
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/* tslint:disable */
/* eslint-disable */
import type { ConditioningField } from './ConditioningField';
import type { ControlField } from './ControlField';
import type { LatentsField } from './LatentsField';
import type { UNetField } from './UNetField';
/**
* Generates latents using latents as base image.
*/
export type LatentsToLatentsInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'l2l';
/**
* Positive conditioning for generation
*/
positive_conditioning?: ConditioningField;
/**
* Negative conditioning for generation
*/
negative_conditioning?: ConditioningField;
/**
* The noise to use
*/
noise?: LatentsField;
/**
* The number of steps to use to generate the image
*/
steps?: number;
/**
* The Classifier-Free Guidance, higher values may result in a result closer to the prompt
*/
cfg_scale?: (number | Array<number>);
/**
* The scheduler to use
*/
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';
/**
* UNet submodel
*/
unet?: UNetField;
/**
* The control to use
*/
control?: (ControlField | Array<ControlField>);
/**
* The latents to use as a base image
*/
latents?: LatentsField;
/**
* The strength of the latents to use
*/
strength?: number;
};

32
invokeai/frontend/web/src/services/api/models/LineartAnimeImageProcessorInvocation.ts
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/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { ImageField } from './ImageField';
/**
* Applies line art anime processing to image
*/
export type LineartAnimeImageProcessorInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'lineart_anime_image_processor';
/**
* The image to process
*/
image?: ImageField;
/**
* The pixel resolution for detection
*/
detect_resolution?: number;
/**
* The pixel resolution for the output image
*/
image_resolution?: number;
};

36
invokeai/frontend/web/src/services/api/models/LineartImageProcessorInvocation.ts
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/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { ImageField } from './ImageField';
/**
* Applies line art processing to image
*/
export type LineartImageProcessorInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'lineart_image_processor';
/**
* The image to process
*/
image?: ImageField;
/**
* The pixel resolution for detection
*/
detect_resolution?: number;
/**
* The pixel resolution for the output image
*/
image_resolution?: number;
/**
* Whether to use coarse mode
*/
coarse?: boolean;
};

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invokeai/frontend/web/src/services/api/models/LoRAModelConfig.ts
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/* tslint:disable */
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import type { BaseModelType } from './BaseModelType';
import type { LoRAModelFormat } from './LoRAModelFormat';
import type { ModelError } from './ModelError';
export type LoRAModelConfig = {
name: string;
base_model: BaseModelType;
type: 'lora';
path: string;
description?: string;
model_format: LoRAModelFormat;
error?: ModelError;
};

24
invokeai/frontend/web/src/services/api/models/LoadImageInvocation.ts
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/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { ImageField } from './ImageField';
/**
* Load an image and provide it as output.
*/
export type LoadImageInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'load_image';
/**
* The image to load
*/
image?: ImageField;
};

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invokeai/frontend/web/src/services/api/models/LoraInfo.ts
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/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { BaseModelType } from './BaseModelType';
import type { ModelType } from './ModelType';
import type { SubModelType } from './SubModelType';
export type LoraInfo = {
/**
* Info to load submodel
*/
model_name: string;
/**
* Base model
*/
base_model: BaseModelType;
/**
* Info to load submodel
*/
model_type: ModelType;
/**
* Info to load submodel
*/
submodel?: SubModelType;
/**
* Lora's weight which to use when apply to model
*/
weight: number;
};

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invokeai/frontend/web/src/services/api/models/LoraLoaderInvocation.ts
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/* tslint:disable */
/* eslint-disable */
import type { ClipField } from './ClipField';
import type { UNetField } from './UNetField';
/**
* Apply selected lora to unet and text_encoder.
*/
export type LoraLoaderInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'lora_loader';
/**
* Lora model name
*/
lora_name: string;
/**
* With what weight to apply lora
*/
weight?: number;
/**
* UNet model for applying lora
*/
unet?: UNetField;
/**
* Clip model for applying lora
*/
clip?: ClipField;
};

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invokeai/frontend/web/src/services/api/models/LoraLoaderOutput.ts
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/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { ClipField } from './ClipField';
import type { UNetField } from './UNetField';
/**
* Model loader output
*/
export type LoraLoaderOutput = {
type?: 'lora_loader_output';
/**
* UNet submodel
*/
unet?: UNetField;
/**
* Tokenizer and text_encoder submodels
*/
clip?: ClipField;
};

17
invokeai/frontend/web/src/services/api/models/LoraModelConfig.ts
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/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { BaseModelType } from './BaseModelType';
import type { LoRAModelFormat } from './LoRAModelFormat';
import type { ModelError } from './ModelError';
export type LoRAModelConfig = {
name: string;
base_model: BaseModelType;
type: 'lora';
path: string;
description?: string;
model_format: LoRAModelFormat;
error?: ModelError;
};

28
invokeai/frontend/web/src/services/api/models/MaskFromAlphaInvocation.ts
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/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { ImageField } from './ImageField';
/**
* Extracts the alpha channel of an image as a mask.
*/
export type MaskFromAlphaInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'tomask';
/**
* The image to create the mask from
*/
image?: ImageField;
/**
* Whether or not to invert the mask
*/
invert?: boolean;
};

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invokeai/frontend/web/src/services/api/models/MaskOutput.ts
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/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { ImageField } from './ImageField';
/**
* Base class for invocations that output a mask
*/
export type MaskOutput = {
type: 'mask';
/**
* The output mask
*/
mask: ImageField;
/**
* The width of the mask in pixels
*/
width?: number;
/**
* The height of the mask in pixels
*/
height?: number;
};

32
invokeai/frontend/web/src/services/api/models/MediapipeFaceProcessorInvocation.ts
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/* tslint:disable */
/* eslint-disable */
import type { ImageField } from './ImageField';
/**
* Applies mediapipe face processing to image
*/
export type MediapipeFaceProcessorInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'mediapipe_face_processor';
/**
* The image to process
*/
image?: ImageField;
/**
* Maximum number of faces to detect
*/
max_faces?: number;
/**
* Minimum confidence for face detection
*/
min_confidence?: number;
};

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invokeai/frontend/web/src/services/api/models/MidasDepthImageProcessorInvocation.ts
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/* tslint:disable */
/* eslint-disable */
import type { ImageField } from './ImageField';
/**
* Applies Midas depth processing to image
*/
export type MidasDepthImageProcessorInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'midas_depth_image_processor';
/**
* The image to process
*/
image?: ImageField;
/**
* Midas parameter `a_mult` (a = a_mult * PI)
*/
a_mult?: number;
/**
* Midas parameter `bg_th`
*/
bg_th?: number;
};

40
invokeai/frontend/web/src/services/api/models/MlsdImageProcessorInvocation.ts
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/* tslint:disable */
/* eslint-disable */
import type { ImageField } from './ImageField';
/**
* Applies MLSD processing to image
*/
export type MlsdImageProcessorInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'mlsd_image_processor';
/**
* The image to process
*/
image?: ImageField;
/**
* The pixel resolution for detection
*/
detect_resolution?: number;
/**
* The pixel resolution for the output image
*/
image_resolution?: number;
/**
* MLSD parameter `thr_v`
*/
thr_v?: number;
/**
* MLSD parameter `thr_d`
*/
thr_d?: number;
};

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invokeai/frontend/web/src/services/api/models/ModelInfo.ts
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/* tslint:disable */
/* eslint-disable */
import type { BaseModelType } from './BaseModelType';
import type { ModelType } from './ModelType';
import type { SubModelType } from './SubModelType';
export type ModelInfo = {
/**
* Info to load submodel
*/
model_name: string;
/**
* Base model
*/
base_model: BaseModelType;
/**
* Info to load submodel
*/
model_type: ModelType;
/**
* Info to load submodel
*/
submodel?: SubModelType;
};

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invokeai/frontend/web/src/services/api/models/ModelLoaderOutput.ts
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/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { ClipField } from './ClipField';
import type { UNetField } from './UNetField';
import type { VaeField } from './VaeField';
/**
* Model loader output
*/
export type ModelLoaderOutput = {
type?: 'model_loader_output';
/**
* UNet submodel
*/
unet?: UNetField;
/**
* Tokenizer and text_encoder submodels
*/
clip?: ClipField;
/**
* Vae submodel
*/
vae?: VaeField;
};

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invokeai/frontend/web/src/services/api/models/ModelType.ts
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/* tslint:disable */
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/**
* An enumeration.
*/
export type ModelType = 'onnx' | 'pipeline' | 'vae' | 'lora' | 'controlnet' | 'embedding';

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invokeai/frontend/web/src/services/api/models/ModelsList.ts
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/* tslint:disable */
/* eslint-disable */
import type { ControlNetModelConfig } from './ControlNetModelConfig';
import type { LoRAModelConfig } from './LoRAModelConfig';
import type { ONNXStableDiffusion1ModelConfig } from './ONNXStableDiffusion1ModelConfig';
import type { ONNXStableDiffusion2ModelConfig } from './ONNXStableDiffusion2ModelConfig';
import type { StableDiffusion1ModelCheckpointConfig } from './StableDiffusion1ModelCheckpointConfig';
import type { StableDiffusion1ModelDiffusersConfig } from './StableDiffusion1ModelDiffusersConfig';
import type { StableDiffusion2ModelCheckpointConfig } from './StableDiffusion2ModelCheckpointConfig';
import type { StableDiffusion2ModelDiffusersConfig } from './StableDiffusion2ModelDiffusersConfig';
import type { TextualInversionModelConfig } from './TextualInversionModelConfig';
import type { VaeModelConfig } from './VaeModelConfig';
export type ModelsList = {
models: Array<(StableDiffusion1ModelCheckpointConfig | StableDiffusion1ModelDiffusersConfig | ONNXStableDiffusion1ModelConfig | VaeModelConfig | LoRAModelConfig | ControlNetModelConfig | TextualInversionModelConfig | StableDiffusion2ModelCheckpointConfig | StableDiffusion2ModelDiffusersConfig | ONNXStableDiffusion2ModelConfig)>;
};

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invokeai/frontend/web/src/services/api/models/MultiplyInvocation.ts
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/* tslint:disable */
/* eslint-disable */
/**
* Multiplies two numbers
*/
export type MultiplyInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'mul';
/**
* The first number
*/
'a'?: number;
/**
* The second number
*/
'b'?: number;
};

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invokeai/frontend/web/src/services/api/models/NoiseInvocation.ts
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/* tslint:disable */
/* eslint-disable */
/**
* Generates latent noise.
*/
export type NoiseInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'noise';
/**
* The seed to use
*/
seed?: number;
/**
* The width of the resulting noise
*/
width?: number;
/**
* The height of the resulting noise
*/
height?: number;
};

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invokeai/frontend/web/src/services/api/models/NoiseOutput.ts
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/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { LatentsField } from './LatentsField';
/**
* Invocation noise output
*/
export type NoiseOutput = {
type?: 'noise_output';
/**
* The output noise
*/
noise?: LatentsField;
/**
* The width of the noise in pixels
*/
width: number;
/**
* The height of the noise in pixels
*/
height: number;
};

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invokeai/frontend/web/src/services/api/models/NormalbaeImageProcessorInvocation.ts
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/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { ImageField } from './ImageField';
/**
* Applies NormalBae processing to image
*/
export type NormalbaeImageProcessorInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'normalbae_image_processor';
/**
* The image to process
*/
image?: ImageField;
/**
* The pixel resolution for detection
*/
detect_resolution?: number;
/**
* The pixel resolution for the output image
*/
image_resolution?: number;
};

29
invokeai/frontend/web/src/services/api/models/ONNXLatentsToImageInvocation.ts
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/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { LatentsField } from './LatentsField';
import type { VaeField } from './VaeField';
/**
* Generates an image from latents.
*/
export type ONNXLatentsToImageInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'l2i_onnx';
/**
* The latents to generate an image from
*/
latents?: LatentsField;
/**
* Vae submodel
*/
vae?: VaeField;
};

30
invokeai/frontend/web/src/services/api/models/ONNXModelLoaderOutput.ts
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/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { ClipField } from './ClipField';
import type { UNetField } from './UNetField';
import type { VaeField } from './VaeField';
/**
* Model loader output
*/
export type ONNXModelLoaderOutput = {
type?: 'model_loader_output_onnx';
/**
* UNet submodel
*/
unet?: UNetField;
/**
* Tokenizer and text_encoder submodels
*/
clip?: ClipField;
/**
* Vae submodel
*/
vae_decoder?: VaeField;
/**
* Vae submodel
*/
vae_encoder?: VaeField;
};

29
invokeai/frontend/web/src/services/api/models/ONNXPromptInvocation.ts
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/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { ClipField } from './ClipField';
/**
* A node to process inputs and produce outputs.
* May use dependency injection in __init__ to receive providers.
*/
export type ONNXPromptInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'prompt_onnx';
/**
* Prompt
*/
prompt?: string;
/**
* Clip to use
*/
clip?: ClipField;
};

22
invokeai/frontend/web/src/services/api/models/ONNXSD1ModelLoaderInvocation.ts
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/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
/**
* Loading submodels of selected model.
*/
export type ONNXSD1ModelLoaderInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 'sd1_model_loader_onnx';
/**
* Model to load
*/
model_name?: string;
};

17
invokeai/frontend/web/src/services/api/models/ONNXStableDiffusion1ModelConfig.ts
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/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { BaseModelType } from './BaseModelType';
import type { ModelError } from './ModelError';
import type { ModelVariantType } from './ModelVariantType';
export type ONNXStableDiffusion1ModelConfig = {
name: string;
base_model: BaseModelType;
type: 'onnx';
path: string;
description?: string;
error?: ModelError;
variant: ModelVariantType;
};

21
invokeai/frontend/web/src/services/api/models/ONNXStableDiffusion2ModelConfig.ts
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/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { BaseModelType } from './BaseModelType';
import type { ModelError } from './ModelError';
import type { ModelVariantType } from './ModelVariantType';
import type { SchedulerPredictionType } from './SchedulerPredictionType';
export type ONNXStableDiffusion2ModelConfig = {
name: string;
base_model: BaseModelType;
type: 'onnx';
path: string;
description?: string;
model_format: null;
error?: ModelError;
variant: ModelVariantType;
prediction_type: SchedulerPredictionType;
upcast_attention: boolean;
};

50
invokeai/frontend/web/src/services/api/models/ONNXTextToLatentsInvocation.ts
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/* istanbul ignore file */
/* tslint:disable */
/* eslint-disable */
import type { ConditioningField } from './ConditioningField';
import type { LatentsField } from './LatentsField';
import type { UNetField } from './UNetField';
/**
* Generates latents from conditionings.
*/
export type ONNXTextToLatentsInvocation = {
/**
* The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Whether or not this node is an intermediate node.
*/
is_intermediate?: boolean;
type?: 't2l_onnx';
/**
* Positive conditioning for generation
*/
positive_conditioning?: ConditioningField;
/**
* Negative conditioning for generation
*/
negative_conditioning?: ConditioningField;
/**
* The noise to use
*/
noise?: LatentsField;
/**
* The number of steps to use to generate the image
*/
steps?: number;
/**
* The Classifier-Free Guidance, higher values may result in a result closer to the prompt
*/
cfg_scale?: (number | Array<number>);
/**
* The scheduler to use
*/
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';
/**
* UNet submodel
*/
unet?: UNetField;
};

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