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InvokeAI/invokeai/frontend/web/src/services/api/schema.d.ts

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feat(ui): api layer refactor *migrate from `openapi-typescript-codegen` to `openapi-typescript` and `openapi-fetch`* `openapi-typescript-codegen` is not very actively maintained - it's been over a year since the last update. `openapi-typescript` and `openapi-fetch` are part of the actively maintained repo. key differences: - provides a `fetch` client instead of `axios`, which means we need to be a bit more verbose with typing thunks - fetch client is created at runtime and has a very nice typescript DX - generates a single file with all types in it, from which we then extract individual types. i don't like how verbose this is, but i do like how it is more explicit. - removed npm api generation scripts - now we have a single `typegen` script overall i have more confidence in this new library. *use nanostores for api base and token* very simple reactive store for api base url and token. this was suggested in the `openapi-fetch` docs and i quite like the strategy. *organise rtk-query api* split out each endpoint (models, images, boards, boardImages) into their own api extensions. tidy!
2023-06-23 09:14:13 +00:00
/**
* This file was auto-generated by openapi-typescript.
* Do not make direct changes to the file.
*/
export type paths = {
"/api/v1/sessions/": {
/**
* List Sessions
* @description Gets a list of sessions, optionally searching
*/
get: operations["list_sessions"];
/**
* Create Session
* @description Creates a new session, optionally initializing it with an invocation graph
*/
post: operations["create_session"];
};
"/api/v1/sessions/{session_id}": {
/**
* Get Session
* @description Gets a session
*/
get: operations["get_session"];
};
"/api/v1/sessions/{session_id}/nodes": {
/**
* Add Node
* @description Adds a node to the graph
*/
post: operations["add_node"];
};
"/api/v1/sessions/{session_id}/nodes/{node_path}": {
/**
* Update Node
* @description Updates a node in the graph and removes all linked edges
*/
put: operations["update_node"];
/**
* Delete Node
* @description Deletes a node in the graph and removes all linked edges
*/
delete: operations["delete_node"];
};
"/api/v1/sessions/{session_id}/edges": {
/**
* Add Edge
* @description Adds an edge to the graph
*/
post: operations["add_edge"];
};
"/api/v1/sessions/{session_id}/edges/{from_node_id}/{from_field}/{to_node_id}/{to_field}": {
/**
* Delete Edge
* @description Deletes an edge from the graph
*/
delete: operations["delete_edge"];
};
"/api/v1/sessions/{session_id}/invoke": {
/**
* Invoke Session
* @description Invokes a session
*/
put: operations["invoke_session"];
/**
* Cancel Session Invoke
* @description Invokes a session
*/
delete: operations["cancel_session_invoke"];
};
"/api/v1/models/": {
/**
* List Models
* @description Gets a list of models
*/
get: operations["list_models"];
/**
* Update Model
* @description Add Model
*/
post: operations["update_model"];
};
"/api/v1/models/{model_name}": {
/**
* Delete Model
* @description Delete Model
*/
delete: operations["del_model"];
};
"/api/v1/images/": {
/**
* List Images With Metadata
* @description Gets a list of images
*/
get: operations["list_images_with_metadata"];
/**
* Upload Image
* @description Uploads an image
*/
post: operations["upload_image"];
};
"/api/v1/images/{image_name}": {
/**
* Get Image Full
* @description Gets a full-resolution image file
*/
get: operations["get_image_full"];
/**
* Delete Image
* @description Deletes an image
*/
delete: operations["delete_image"];
/**
* Update Image
* @description Updates an image
*/
patch: operations["update_image"];
};
"/api/v1/images/{image_name}/metadata": {
/**
* Get Image Metadata
* @description Gets an image's metadata
*/
get: operations["get_image_metadata"];
};
"/api/v1/images/{image_name}/thumbnail": {
/**
* Get Image Thumbnail
* @description Gets a thumbnail image file
*/
get: operations["get_image_thumbnail"];
};
"/api/v1/images/{image_name}/urls": {
/**
* Get Image Urls
* @description Gets an image and thumbnail URL
*/
get: operations["get_image_urls"];
};
"/api/v1/boards/": {
/**
* List Boards
* @description Gets a list of boards
*/
get: operations["list_boards"];
/**
* Create Board
* @description Creates a board
*/
post: operations["create_board"];
};
"/api/v1/boards/{board_id}": {
/**
* Get Board
* @description Gets a board
*/
get: operations["get_board"];
/**
* Delete Board
* @description Deletes a board
*/
delete: operations["delete_board"];
/**
* Update Board
* @description Updates a board
*/
patch: operations["update_board"];
};
"/api/v1/board_images/": {
/**
* Create Board Image
* @description Creates a board_image
*/
post: operations["create_board_image"];
/**
* Remove Board Image
* @description Deletes a board_image
*/
delete: operations["remove_board_image"];
};
"/api/v1/board_images/{board_id}": {
/**
* List Board Images
* @description Gets a list of images for a board
*/
get: operations["list_board_images"];
};
};
export type webhooks = Record<string, never>;
export type components = {
schemas: {
/**
* AddInvocation
* @description Adds two numbers
*/
AddInvocation: {
/**
* 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 add
* @enum {string}
*/
type?: "add";
/**
* A
* @description The first number
* @default 0
*/
a?: number;
/**
* B
* @description The second number
* @default 0
*/
b?: number;
};
/**
* BaseModelType
* @description An enumeration.
* @enum {string}
*/
BaseModelType: "sd-1" | "sd-2";
/** BoardChanges */
BoardChanges: {
/**
* Board Name
* @description The board's new name.
*/
board_name?: string;
/**
* Cover Image Name
* @description The name of the board's new cover image.
*/
cover_image_name?: string;
};
/**
* BoardDTO
* @description Deserialized board record with cover image URL and image count.
*/
BoardDTO: {
/**
* Board Id
* @description The unique ID of the board.
*/
board_id: string;
/**
* Board Name
* @description The name of the board.
*/
board_name: string;
/**
* Created At
* @description The created timestamp of the board.
*/
created_at: string;
/**
* Updated At
* @description The updated timestamp of the board.
*/
updated_at: string;
/**
* Deleted At
* @description The deleted timestamp of the board.
*/
deleted_at?: string;
/**
* Cover Image Name
* @description The name of the board's cover image.
*/
cover_image_name?: string;
/**
* Image Count
* @description The number of images in the board.
*/
image_count: number;
};
/** Body_create_board_image */
Body_create_board_image: {
/**
* Board Id
* @description The id of the board to add to
*/
board_id: string;
/**
* Image Name
* @description The name of the image to add
*/
image_name: string;
};
/** Body_remove_board_image */
Body_remove_board_image: {
/**
* Board Id
* @description The id of the board
*/
board_id: string;
/**
* Image Name
* @description The name of the image to remove
*/
image_name: string;
};
/** Body_upload_image */
Body_upload_image: {
/**
* File
* Format: binary
*/
file: string;
};
/**
* CannyImageProcessorInvocation
* @description Canny edge detection for ControlNet
*/
CannyImageProcessorInvocation: {
/**
* 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 canny_image_processor
* @enum {string}
*/
type?: "canny_image_processor";
/**
* Image
* @description The image to process
*/
image?: components["schemas"]["ImageField"];
/**
* Low Threshold
* @description The low threshold of the Canny pixel gradient (0-255)
* @default 100
*/
low_threshold?: number;
/**
* High Threshold
* @description The high threshold of the Canny pixel gradient (0-255)
* @default 200
*/
high_threshold?: number;
};
/** CkptModelInfo */
CkptModelInfo: {
/**
* Description
* @description A description of the model
*/
description?: string;
/**
* Model Name
* @description The name of the model
*/
model_name: string;
/**
* Model Type
* @description The type of the model
*/
model_type: string;
/**
* Format
* @default ckpt
* @enum {string}
*/
format?: "ckpt";
/**
* Config
* @description The path to the model config
*/
config: string;
/**
* Weights
* @description The path to the model weights
*/
weights: string;
/**
* Vae
* @description The path to the model VAE
*/
vae: string;
/**
* Width
* @description The width of the model
*/
width?: number;
/**
* Height
* @description The height of the model
*/
height?: number;
};
/** ClipField */
ClipField: {
/**
* Tokenizer
* @description Info to load tokenizer submodel
*/
tokenizer: components["schemas"]["ModelInfo"];
/**
* Text Encoder
* @description Info to load text_encoder submodel
*/
text_encoder: components["schemas"]["ModelInfo"];
/**
* Loras
* @description Loras to apply on model loading
*/
loras: (components["schemas"]["LoraInfo"])[];
};
/**
* CollectInvocation
* @description Collects values into a collection
*/
CollectInvocation: {
/**
* 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 collect
* @enum {string}
*/
type?: "collect";
/**
* Item
* @description The item to collect (all inputs must be of the same type)
*/
item?: unknown;
/**
* Collection
* @description The collection, will be provided on execution
*/
collection?: (unknown)[];
};
/**
* CollectInvocationOutput
* @description Base class for all invocation outputs
*/
CollectInvocationOutput: {
/**
* Type
* @default collect_output
* @enum {string}
*/
type: "collect_output";
/**
* Collection
* @description The collection of input items
*/
collection: (unknown)[];
};
/** ColorField */
ColorField: {
/**
* R
* @description The red component
*/
r: number;
/**
* G
* @description The green component
*/
g: number;
/**
* B
* @description The blue component
*/
b: number;
/**
* A
* @description The alpha component
*/
a: number;
};
/**
* CompelInvocation
* @description Parse prompt using compel package to conditioning.
*/
CompelInvocation: {
/**
* 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 compel
* @enum {string}
*/
type?: "compel";
/**
* Prompt
* @description Prompt
* @default
*/
prompt?: string;
/**
* Clip
* @description Clip to use
*/
clip?: components["schemas"]["ClipField"];
};
/**
* CompelOutput
* @description Compel parser output
*/
CompelOutput: {
/**
* Type
* @default compel_output
* @enum {string}
*/
type?: "compel_output";
/**
* Conditioning
* @description Conditioning
*/
conditioning?: components["schemas"]["ConditioningField"];
};
/** ConditioningField */
ConditioningField: {
/**
* Conditioning Name
* @description The name of conditioning data
*/
conditioning_name: string;
};
/**
* ContentShuffleImageProcessorInvocation
* @description Applies content shuffle processing to image
*/
ContentShuffleImageProcessorInvocation: {
/**
* 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 content_shuffle_image_processor
* @enum {string}
*/
type?: "content_shuffle_image_processor";
/**
* Image
* @description The image to process
*/
image?: components["schemas"]["ImageField"];
/**
* Detect Resolution
* @description The pixel resolution for detection
* @default 512
*/
detect_resolution?: number;
/**
* Image Resolution
* @description The pixel resolution for the output image
* @default 512
*/
image_resolution?: number;
/**
* H
* @description Content shuffle `h` parameter
* @default 512
*/
h?: number;
/**
* W
* @description Content shuffle `w` parameter
* @default 512
*/
w?: number;
/**
* F
* @description Content shuffle `f` parameter
* @default 256
*/
f?: number;
};
/** ControlField */
ControlField: {
/**
* Image
* @description The control image
*/
image: components["schemas"]["ImageField"];
/**
* Control Model
* @description The ControlNet model to use
*/
control_model: string;
/**
* Control Weight
* @description The weight given to the ControlNet
* @default 1
*/
control_weight: number | (number)[];
/**
* Begin Step Percent
* @description When the ControlNet is first applied (% of total steps)
* @default 0
*/
begin_step_percent: number;
/**
* End Step Percent
* @description When the ControlNet is last applied (% of total steps)
* @default 1
*/
end_step_percent: number;
chore(ui): regen api schema
2023-06-25 04:04:16 +00:00
/**
* Control Mode
* @description The contorl mode to use
* @default balanced
* @enum {string}
*/
control_mode?: "balanced" | "more_prompt" | "more_control" | "unbalanced";
feat(ui): api layer refactor *migrate from `openapi-typescript-codegen` to `openapi-typescript` and `openapi-fetch`* `openapi-typescript-codegen` is not very actively maintained - it's been over a year since the last update. `openapi-typescript` and `openapi-fetch` are part of the actively maintained repo. key differences: - provides a `fetch` client instead of `axios`, which means we need to be a bit more verbose with typing thunks - fetch client is created at runtime and has a very nice typescript DX - generates a single file with all types in it, from which we then extract individual types. i don't like how verbose this is, but i do like how it is more explicit. - removed npm api generation scripts - now we have a single `typegen` script overall i have more confidence in this new library. *use nanostores for api base and token* very simple reactive store for api base url and token. this was suggested in the `openapi-fetch` docs and i quite like the strategy. *organise rtk-query api* split out each endpoint (models, images, boards, boardImages) into their own api extensions. tidy!
2023-06-23 09:14:13 +00:00
};
/**
* ControlNetInvocation
* @description Collects ControlNet info to pass to other nodes
*/
ControlNetInvocation: {
/**
* 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 controlnet
* @enum {string}
*/
type?: "controlnet";
/**
* Image
* @description The control image
*/
image?: components["schemas"]["ImageField"];
/**
* Control Model
* @description control model used
* @default lllyasviel/sd-controlnet-canny
* @enum {string}
*/
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";
/**
* Control Weight
* @description The weight given to the ControlNet
* @default 1
*/
control_weight?: number | (number)[];
/**
* Begin Step Percent
* @description When the ControlNet is first applied (% of total steps)
* @default 0
*/
begin_step_percent?: number;
/**
* End Step Percent
* @description When the ControlNet is last applied (% of total steps)
* @default 1
*/
end_step_percent?: number;
chore(ui): regen api schema
2023-06-25 04:04:16 +00:00
/**
* Control Mode
* @description The control mode used
* @default balanced
* @enum {string}
*/
control_mode?: "balanced" | "more_prompt" | "more_control" | "unbalanced";
feat(ui): api layer refactor *migrate from `openapi-typescript-codegen` to `openapi-typescript` and `openapi-fetch`* `openapi-typescript-codegen` is not very actively maintained - it's been over a year since the last update. `openapi-typescript` and `openapi-fetch` are part of the actively maintained repo. key differences: - provides a `fetch` client instead of `axios`, which means we need to be a bit more verbose with typing thunks - fetch client is created at runtime and has a very nice typescript DX - generates a single file with all types in it, from which we then extract individual types. i don't like how verbose this is, but i do like how it is more explicit. - removed npm api generation scripts - now we have a single `typegen` script overall i have more confidence in this new library. *use nanostores for api base and token* very simple reactive store for api base url and token. this was suggested in the `openapi-fetch` docs and i quite like the strategy. *organise rtk-query api* split out each endpoint (models, images, boards, boardImages) into their own api extensions. tidy!
2023-06-23 09:14:13 +00:00
};
/** ControlNetModelConfig */
ControlNetModelConfig: {
/** Name */
name: string;
base_model: components["schemas"]["BaseModelType"];
/**
* Type
* @enum {string}
*/
type: "controlnet";
/** Path */
path: string;
/** Description */
description?: string;
model_format: components["schemas"]["ControlNetModelFormat"];
error?: components["schemas"]["ModelError"];
};
/**
* ControlNetModelFormat
* @description An enumeration.
* @enum {string}
*/
ControlNetModelFormat: "checkpoint" | "diffusers";
/**
* ControlOutput
* @description node output for ControlNet info
*/
ControlOutput: {
/**
* Type
* @default control_output
* @enum {string}
*/
type?: "control_output";
/**
* Control
* @description The control info
*/
control?: components["schemas"]["ControlField"];
};
/** CreateModelRequest */
CreateModelRequest: {
/**
* Name
* @description The name of the model
*/
name: string;
/**
* Info
* @description The model info
*/
info: components["schemas"]["CkptModelInfo"] | components["schemas"]["DiffusersModelInfo"];
};
/**
* CvInpaintInvocation
* @description Simple inpaint using opencv.
*/
CvInpaintInvocation: {
/**
* 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 cv_inpaint
* @enum {string}
*/
type?: "cv_inpaint";
/**
* Image
* @description The image to inpaint
*/
image?: components["schemas"]["ImageField"];
/**
* Mask
* @description The mask to use when inpainting
*/
mask?: components["schemas"]["ImageField"];
};
/** DiffusersModelInfo */
DiffusersModelInfo: {
/**
* Description
* @description A description of the model
*/
description?: string;
/**
* Model Name
* @description The name of the model
*/
model_name: string;
/**
* Model Type
* @description The type of the model
*/
model_type: string;
/**
* Format
* @default folder
* @enum {string}
*/
format?: "folder";
/**
* Vae
* @description The VAE repo to use for this model
*/
vae?: components["schemas"]["VaeRepo"];
/**
* Repo Id
* @description The repo ID to use for this model
*/
repo_id?: string;
/**
* Path
* @description The path to the model
*/
path?: string;
};
/**
* DivideInvocation
* @description Divides two numbers
*/
DivideInvocation: {
/**
* 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 div
* @enum {string}
*/
type?: "div";
/**
* A
* @description The first number
* @default 0
*/
a?: number;
/**
* B
* @description The second number
* @default 0
*/
b?: number;
};
/**
* DynamicPromptInvocation
* @description Parses a prompt using adieyal/dynamicprompts' random or combinatorial generator
*/
DynamicPromptInvocation: {
/**
* 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 dynamic_prompt
* @enum {string}
*/
type?: "dynamic_prompt";
/**
* Prompt
* @description The prompt to parse with dynamicprompts
*/
prompt: string;
/**
* Max Prompts
* @description The number of prompts to generate
* @default 1
*/
max_prompts?: number;
/**
* Combinatorial
* @description Whether to use the combinatorial generator
* @default false
*/
combinatorial?: boolean;
};
/** Edge */
Edge: {
/**
* Source
* @description The connection for the edge's from node and field
*/
source: components["schemas"]["EdgeConnection"];
/**
* Destination
* @description The connection for the edge's to node and field
*/
destination: components["schemas"]["EdgeConnection"];
};
/** EdgeConnection */
EdgeConnection: {
/**
* Node Id
* @description The id of the node for this edge connection
*/
node_id: string;
/**
* Field
* @description The field for this connection
*/
field: string;
};
/**
* FloatCollectionOutput
* @description A collection of floats
*/
FloatCollectionOutput: {
/**
* Type
* @default float_collection
* @enum {string}
*/
type?: "float_collection";
/**
* Collection
* @description The float collection
* @default []
*/
collection?: (number)[];
};
/**
* FloatLinearRangeInvocation
* @description Creates a range
*/
FloatLinearRangeInvocation: {
/**
* 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 float_range
* @enum {string}
*/
type?: "float_range";
/**
* Start
* @description The first value of the range
* @default 5
*/
start?: number;
/**
* Stop
* @description The last value of the range
* @default 10
*/
stop?: number;
/**
* Steps
* @description number of values to interpolate over (including start and stop)
* @default 30
*/
steps?: number;
};
/**
* FloatOutput
* @description A float output
*/
FloatOutput: {
/**
* Type
* @default float_output
* @enum {string}
*/
type?: "float_output";
/**
* Param
* @description The output float
*/
param?: number;
};
/** Graph */
Graph: {
/**
* Id
* @description The id of this graph
*/
id?: string;
/**
* Nodes
* @description The nodes in this graph
*/
nodes?: {
chore(ui): regen types
2023-06-27 03:57:41 +00:00
[key: string]: (components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["PipelineModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["UpscaleInvocation"] | components["schemas"]["RestoreFaceInvocation"] | 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"]["LatentsToLatentsInvocation"]) | undefined;
feat(ui): api layer refactor *migrate from `openapi-typescript-codegen` to `openapi-typescript` and `openapi-fetch`* `openapi-typescript-codegen` is not very actively maintained - it's been over a year since the last update. `openapi-typescript` and `openapi-fetch` are part of the actively maintained repo. key differences: - provides a `fetch` client instead of `axios`, which means we need to be a bit more verbose with typing thunks - fetch client is created at runtime and has a very nice typescript DX - generates a single file with all types in it, from which we then extract individual types. i don't like how verbose this is, but i do like how it is more explicit. - removed npm api generation scripts - now we have a single `typegen` script overall i have more confidence in this new library. *use nanostores for api base and token* very simple reactive store for api base url and token. this was suggested in the `openapi-fetch` docs and i quite like the strategy. *organise rtk-query api* split out each endpoint (models, images, boards, boardImages) into their own api extensions. tidy!
2023-06-23 09:14:13 +00:00
};
/**
* Edges
* @description The connections between nodes and their fields in this graph
*/
edges?: (components["schemas"]["Edge"])[];
};
/**
* GraphExecutionState
* @description Tracks the state of a graph execution
*/
GraphExecutionState: {
/**
* Id
* @description The id of the execution state
*/
id: string;
/**
* Graph
* @description The graph being executed
*/
graph: components["schemas"]["Graph"];
/**
* Execution Graph
* @description The expanded graph of activated and executed nodes
*/
execution_graph: components["schemas"]["Graph"];
/**
* Executed
* @description The set of node ids that have been executed
*/
executed: (string)[];
/**
* Executed History
* @description The list of node ids that have been executed, in order of execution
*/
executed_history: (string)[];
/**
* Results
* @description The results of node executions
*/
results: {
chore(ui): regen types
2023-06-27 03:57:41 +00:00
[key: string]: (components["schemas"]["ImageOutput"] | components["schemas"]["MaskOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["PromptOutput"] | components["schemas"]["PromptCollectionOutput"] | components["schemas"]["CompelOutput"] | components["schemas"]["IntOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["IntCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
feat(ui): api layer refactor *migrate from `openapi-typescript-codegen` to `openapi-typescript` and `openapi-fetch`* `openapi-typescript-codegen` is not very actively maintained - it's been over a year since the last update. `openapi-typescript` and `openapi-fetch` are part of the actively maintained repo. key differences: - provides a `fetch` client instead of `axios`, which means we need to be a bit more verbose with typing thunks - fetch client is created at runtime and has a very nice typescript DX - generates a single file with all types in it, from which we then extract individual types. i don't like how verbose this is, but i do like how it is more explicit. - removed npm api generation scripts - now we have a single `typegen` script overall i have more confidence in this new library. *use nanostores for api base and token* very simple reactive store for api base url and token. this was suggested in the `openapi-fetch` docs and i quite like the strategy. *organise rtk-query api* split out each endpoint (models, images, boards, boardImages) into their own api extensions. tidy!
2023-06-23 09:14:13 +00:00
};
/**
* Errors
* @description Errors raised when executing nodes
*/
errors: {
[key: string]: string | undefined;
};
/**
* Prepared Source Mapping
* @description The map of prepared nodes to original graph nodes
*/
prepared_source_mapping: {
[key: string]: string | undefined;
};
/**
* Source Prepared Mapping
* @description The map of original graph nodes to prepared nodes
*/
source_prepared_mapping: {
[key: string]: (string)[] | undefined;
};
};
/**
* GraphInvocation
* @description Execute a graph
*/
GraphInvocation: {
/**
* 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 graph
* @enum {string}
*/
type?: "graph";
/**
* Graph
* @description The graph to run
*/
graph?: components["schemas"]["Graph"];
};
/**
* GraphInvocationOutput
* @description Base class for all invocation outputs
*/
GraphInvocationOutput: {
/**
* Type
* @default graph_output
* @enum {string}
*/
type: "graph_output";
};
/** HTTPValidationError */
HTTPValidationError: {
/** Detail */
detail?: (components["schemas"]["ValidationError"])[];
};
/**
* HedImageProcessorInvocation
* @description Applies HED edge detection to image
*/
HedImageProcessorInvocation: {
/**
* 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 hed_image_processor
* @enum {string}
*/
type?: "hed_image_processor";
/**
* Image
* @description The image to process
*/
image?: components["schemas"]["ImageField"];
/**
* Detect Resolution
* @description The pixel resolution for detection
* @default 512
*/
detect_resolution?: number;
/**
* Image Resolution
* @description The pixel resolution for the output image
* @default 512
*/
image_resolution?: number;
/**
* Scribble
* @description Whether to use scribble mode
* @default false
*/
scribble?: boolean;
};
/**
* ImageBlurInvocation
* @description Blurs an image
*/
ImageBlurInvocation: {
/**
* 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 img_blur
* @enum {string}
*/
type?: "img_blur";
/**
* Image
* @description The image to blur
*/
image?: components["schemas"]["ImageField"];
/**
* Radius
* @description The blur radius
* @default 8
*/
radius?: number;
/**
* Blur Type
* @description The type of blur
* @default gaussian
* @enum {string}
*/
blur_type?: "gaussian" | "box";
};
/**
* ImageCategory
* @description The category of an image.
*
* - GENERAL: The image is an output, init image, or otherwise an image without a specialized purpose.
* - MASK: The image is a mask image.
* - CONTROL: The image is a ControlNet control image.
* - USER: The image is a user-provide image.
* - OTHER: The image is some other type of image with a specialized purpose. To be used by external nodes.
* @enum {string}
*/
ImageCategory: "general" | "mask" | "control" | "user" | "other";
/**
* ImageChannelInvocation
* @description Gets a channel from an image.
*/
ImageChannelInvocation: {
/**
* 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 img_chan
* @enum {string}
*/
type?: "img_chan";
/**
* Image
* @description The image to get the channel from
*/
image?: components["schemas"]["ImageField"];
/**
* Channel
* @description The channel to get
* @default A
* @enum {string}
*/
channel?: "A" | "R" | "G" | "B";
};
/**
* ImageConvertInvocation
* @description Converts an image to a different mode.
*/
ImageConvertInvocation: {
/**
* 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 img_conv
* @enum {string}
*/
type?: "img_conv";
/**
* Image
* @description The image to convert
*/
image?: components["schemas"]["ImageField"];
/**
* Mode
* @description The mode to convert to
* @default L
* @enum {string}
*/
mode?: "L" | "RGB" | "RGBA" | "CMYK" | "YCbCr" | "LAB" | "HSV" | "I" | "F";
};
/**
* ImageCropInvocation
* @description Crops an image to a specified box. The box can be outside of the image.
*/
ImageCropInvocation: {
/**
* 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 img_crop
* @enum {string}
*/
type?: "img_crop";
/**
* Image
* @description The image to crop
*/
image?: components["schemas"]["ImageField"];
/**
* X
* @description The left x coordinate of the crop rectangle
* @default 0
*/
x?: number;
/**
* Y
* @description The top y coordinate of the crop rectangle
* @default 0
*/
y?: number;
/**
* Width
* @description The width of the crop rectangle
* @default 512
*/
width?: number;
/**
* Height
* @description The height of the crop rectangle
* @default 512
*/
height?: number;
};
/**
* ImageDTO
* @description Deserialized image record, enriched for the frontend.
*/
ImageDTO: {
/**
* Image Name
* @description The unique name of the image.
*/
image_name: string;
/**
* Image Url
* @description The URL of the image.
*/
image_url: string;
/**
* Thumbnail Url
* @description The URL of the image's thumbnail.
*/
thumbnail_url: string;
/** @description The type of the image. */
image_origin: components["schemas"]["ResourceOrigin"];
/** @description The category of the image. */
image_category: components["schemas"]["ImageCategory"];
/**
* Width
* @description The width of the image in px.
*/
width: number;
/**
* Height
* @description The height of the image in px.
*/
height: number;
/**
* Created At
* @description The created timestamp of the image.
*/
created_at: string;
/**
* Updated At
* @description The updated timestamp of the image.
*/
updated_at: string;
/**
* Deleted At
* @description The deleted timestamp of the image.
*/
deleted_at?: string;
/**
* Is Intermediate
* @description Whether this is an intermediate image.
*/
is_intermediate: boolean;
/**
* Session Id
* @description The session ID that generated this image, if it is a generated image.
*/
session_id?: string;
/**
* Node Id
* @description The node ID that generated this image, if it is a generated image.
*/
node_id?: string;
/**
* Metadata
* @description A limited subset of the image's generation metadata. Retrieve the image's session for full metadata.
*/
metadata?: components["schemas"]["ImageMetadata"];
/**
* Board Id
* @description The id of the board the image belongs to, if one exists.
*/
board_id?: string;
};
/**
* ImageField
* @description An image field used for passing image objects between invocations
*/
ImageField: {
/**
* Image Name
* @description The name of the image
*/
image_name: string;
};
/**
* ImageInverseLerpInvocation
* @description Inverse linear interpolation of all pixels of an image
*/
ImageInverseLerpInvocation: {
/**
* 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 img_ilerp
* @enum {string}
*/
type?: "img_ilerp";
/**
* Image
* @description The image to lerp
*/
image?: components["schemas"]["ImageField"];
/**
* Min
* @description The minimum input value
* @default 0
*/
min?: number;
/**
* Max
* @description The maximum input value
* @default 255
*/
max?: number;
};
/**
* ImageLerpInvocation
* @description Linear interpolation of all pixels of an image
*/
ImageLerpInvocation: {
/**
* 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 img_lerp
* @enum {string}
*/
type?: "img_lerp";
/**
* Image
* @description The image to lerp
*/
image?: components["schemas"]["ImageField"];
/**
* Min
* @description The minimum output value
* @default 0
*/
min?: number;
/**
* Max
* @description The maximum output value
* @default 255
*/
max?: number;
};
/**
* ImageMetadata
* @description 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.
*/
ImageMetadata: {
/**
* Type
* @description The type of the ancestor node of the image output node.
*/
type?: string;
/**
* Positive Conditioning
* @description The positive conditioning.
*/
positive_conditioning?: string;
/**
* Negative Conditioning
* @description The negative conditioning.
*/
negative_conditioning?: string;
/**
* Width
* @description Width of the image/latents in pixels.
*/
width?: number;
/**
* Height
* @description Height of the image/latents in pixels.
*/
height?: number;
/**
* Seed
* @description The seed used for noise generation.
*/
seed?: number;
/**
* Cfg Scale
* @description The classifier-free guidance scale.
*/
cfg_scale?: number | (number)[];
/**
* Steps
* @description The number of steps used for inference.
*/
steps?: number;
/**
* Scheduler
* @description The scheduler used for inference.
*/
scheduler?: string;
/**
* Model
* @description The model used for inference.
*/
model?: string;
/**
* Strength
* @description The strength used for image-to-image/latents-to-latents.
*/
strength?: number;
/**
* Latents
* @description The ID of the initial latents.
*/
latents?: string;
/**
* Vae
* @description The VAE used for decoding.
*/
vae?: string;
/**
* Unet
* @description The UNet used dor inference.
*/
unet?: string;
/**
* Clip
* @description The CLIP Encoder used for conditioning.
*/
clip?: string;
/**
* Extra
* @description Uploaded image metadata, extracted from the PNG tEXt chunk.
*/
extra?: string;
};
/**
* ImageMultiplyInvocation
* @description Multiplies two images together using `PIL.ImageChops.multiply()`.
*/
ImageMultiplyInvocation: {
/**
* 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 img_mul
* @enum {string}
*/
type?: "img_mul";
/**
* Image1
* @description The first image to multiply
*/
image1?: components["schemas"]["ImageField"];
/**
* Image2
* @description The second image to multiply
*/
image2?: components["schemas"]["ImageField"];
};
/**
* ImageOutput
* @description Base class for invocations that output an image
*/
ImageOutput: {
/**
* Type
* @default image_output
* @enum {string}
*/
type: "image_output";
/**
* Image
* @description The output image
*/
image: components["schemas"]["ImageField"];
/**
* Width
* @description The width of the image in pixels
*/
width: number;
/**
* Height
* @description The height of the image in pixels
*/
height: number;
};
/**
* ImagePasteInvocation
* @description Pastes an image into another image.
*/
ImagePasteInvocation: {
/**
* 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 img_paste
* @enum {string}
*/
type?: "img_paste";
/**
* Base Image
* @description The base image
*/
base_image?: components["schemas"]["ImageField"];
/**
* Image
* @description The image to paste
*/
image?: components["schemas"]["ImageField"];
/**
* Mask
* @description The mask to use when pasting
*/
mask?: components["schemas"]["ImageField"];
/**
* X
* @description The left x coordinate at which to paste the image
* @default 0
*/
x?: number;
/**
* Y
* @description The top y coordinate at which to paste the image
* @default 0
*/
y?: number;
};
/**
* ImageProcessorInvocation
* @description Base class for invocations that preprocess images for ControlNet
*/
ImageProcessorInvocation: {
/**
* 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 image_processor
* @enum {string}
*/
type?: "image_processor";
/**
* Image
* @description The image to process
*/
image?: components["schemas"]["ImageField"];
};
/**
* ImageRecordChanges
* @description 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
*/
ImageRecordChanges: {
/** @description The image's new category. */
image_category?: components["schemas"]["ImageCategory"];
/**
* Session Id
* @description The image's new session ID.
*/
session_id?: string;
/**
* Is Intermediate
* @description The image's new `is_intermediate` flag.
*/
is_intermediate?: boolean;
};
/**
* ImageResizeInvocation
* @description Resizes an image to specific dimensions
*/
ImageResizeInvocation: {
/**
* 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 img_resize
* @enum {string}
*/
type?: "img_resize";
/**
* Image
* @description The image to resize
*/
image?: components["schemas"]["ImageField"];
/**
* Width
* @description The width to resize to (px)
*/
width: number;
/**
* Height
* @description The height to resize to (px)
*/
height: number;
/**
* Resample Mode
* @description The resampling mode
* @default bicubic
* @enum {string}
*/
resample_mode?: "nearest" | "box" | "bilinear" | "hamming" | "bicubic" | "lanczos";
};
/**
* ImageScaleInvocation
* @description Scales an image by a factor
*/
ImageScaleInvocation: {
/**
* 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 img_scale
* @enum {string}
*/
type?: "img_scale";
/**
* Image
* @description The image to scale
*/
image?: components["schemas"]["ImageField"];
/**
* Scale Factor
* @description The factor by which to scale the image
*/
scale_factor: number;
/**
* Resample Mode
* @description The resampling mode
* @default bicubic
* @enum {string}
*/
resample_mode?: "nearest" | "box" | "bilinear" | "hamming" | "bicubic" | "lanczos";
};
/**
* ImageToLatentsInvocation
* @description Encodes an image into latents.
*/
ImageToLatentsInvocation: {
/**
* 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 i2l
* @enum {string}
*/
type?: "i2l";
/**
* Image
* @description The image to encode
*/
image?: components["schemas"]["ImageField"];
/**
* Vae
* @description Vae submodel
*/
vae?: components["schemas"]["VaeField"];
/**
* Tiled
* @description Encode latents by overlaping tiles(less memory consumption)
* @default false
*/
tiled?: boolean;
};
/**
* ImageUrlsDTO
* @description The URLs for an image and its thumbnail.
*/
ImageUrlsDTO: {
/**
* Image Name
* @description The unique name of the image.
*/
image_name: string;
/**
* Image Url
* @description The URL of the image.
*/
image_url: string;
/**
* Thumbnail Url
* @description The URL of the image's thumbnail.
*/
thumbnail_url: string;
};
/**
* InfillColorInvocation
* @description Infills transparent areas of an image with a solid color
*/
InfillColorInvocation: {
/**
* 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 infill_rgba
* @enum {string}
*/
type?: "infill_rgba";
/**
* Image
* @description The image to infill
*/
image?: components["schemas"]["ImageField"];
/**
* Color
* @description The color to use to infill
* @default {
* "r": 127,
* "g": 127,
* "b": 127,
* "a": 255
* }
*/
color?: components["schemas"]["ColorField"];
};
/**
* InfillPatchMatchInvocation
* @description Infills transparent areas of an image using the PatchMatch algorithm
*/
InfillPatchMatchInvocation: {
/**
* 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 infill_patchmatch
* @enum {string}
*/
type?: "infill_patchmatch";
/**
* Image
* @description The image to infill
*/
image?: components["schemas"]["ImageField"];
};
/**
* InfillTileInvocation
* @description Infills transparent areas of an image with tiles of the image
*/
InfillTileInvocation: {
/**
* 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 infill_tile
* @enum {string}
*/
type?: "infill_tile";
/**
* Image
* @description The image to infill
*/
image?: components["schemas"]["ImageField"];
/**
* Tile Size
* @description The tile size (px)
* @default 32
*/
tile_size?: number;
/**
* Seed
* @description The seed to use for tile generation (omit for random)
*/
seed?: number;
};
/**
* InpaintInvocation
* @description Generates an image using inpaint.
*/
InpaintInvocation: {
/**
* 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 inpaint
* @enum {string}
*/
type?: "inpaint";
/**
* Positive Conditioning
* @description Positive conditioning for generation
*/
positive_conditioning?: components["schemas"]["ConditioningField"];
/**
* Negative Conditioning
* @description Negative conditioning for generation
*/
negative_conditioning?: components["schemas"]["ConditioningField"];
/**
* Seed
* @description The seed to use (omit for random)
*/
seed?: number;
/**
* Steps
* @description The number of steps to use to generate the image
* @default 30
*/
steps?: number;
/**
* Width
* @description The width of the resulting image
* @default 512
*/
width?: number;
/**
* Height
* @description The height of the resulting image
* @default 512
*/
height?: 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;
/**
* 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";
/**
* Unet
* @description UNet model
*/
unet?: components["schemas"]["UNetField"];
/**
* Vae
* @description Vae model
*/
vae?: components["schemas"]["VaeField"];
/**
* Image
* @description The input image
*/
image?: components["schemas"]["ImageField"];
/**
* Strength
* @description The strength of the original image
* @default 0.75
*/
strength?: number;
/**
* Fit
* @description Whether or not the result should be fit to the aspect ratio of the input image
* @default true
*/
fit?: boolean;
/**
* Mask
* @description The mask
*/
mask?: components["schemas"]["ImageField"];
/**
* Seam Size
* @description The seam inpaint size (px)
* @default 96
*/
seam_size?: number;
/**
* Seam Blur
* @description The seam inpaint blur radius (px)
* @default 16
*/
seam_blur?: number;
/**
* Seam Strength
* @description The seam inpaint strength
* @default 0.75
*/
seam_strength?: number;
/**
* Seam Steps
* @description The number of steps to use for seam inpaint
* @default 30
*/
seam_steps?: number;
/**
* Tile Size
* @description The tile infill method size (px)
* @default 32
*/
tile_size?: number;
/**
* Infill Method
* @description The method used to infill empty regions (px)
* @default patchmatch
* @enum {string}
*/
infill_method?: "patchmatch" | "tile" | "solid";
/**
* Inpaint Width
* @description The width of the inpaint region (px)
*/
inpaint_width?: number;
/**
* Inpaint Height
* @description The height of the inpaint region (px)
*/
inpaint_height?: number;
/**
* Inpaint Fill
* @description The solid infill method color
* @default {
* "r": 127,
* "g": 127,
* "b": 127,
* "a": 255
* }
*/
inpaint_fill?: components["schemas"]["ColorField"];
/**
* Inpaint Replace
* @description The amount by which to replace masked areas with latent noise
* @default 0
*/
inpaint_replace?: number;
};
/**
* IntCollectionOutput
* @description A collection of integers
*/
IntCollectionOutput: {
/**
* Type
* @default int_collection
* @enum {string}
*/
type?: "int_collection";
/**
* Collection
* @description The int collection
* @default []
*/
collection?: (number)[];
};
/**
* IntOutput
* @description An integer output
*/
IntOutput: {
/**
* Type
* @default int_output
* @enum {string}
*/
type?: "int_output";
/**
* A
* @description The output integer
*/
a?: number;
};
/**
* IterateInvocation
* @description Iterates over a list of items
*/
IterateInvocation: {
/**
* 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 iterate
* @enum {string}
*/
type?: "iterate";
/**
* Collection
* @description The list of items to iterate over
*/
collection?: (unknown)[];
/**
* Index
* @description The index, will be provided on executed iterators
* @default 0
*/
index?: number;
};
/**
* IterateInvocationOutput
* @description Used to connect iteration outputs. Will be expanded to a specific output.
*/
IterateInvocationOutput: {
/**
* Type
* @default iterate_output
* @enum {string}
*/
type: "iterate_output";
/**
* Item
* @description The item being iterated over
*/
item: unknown;
};
/**
* LatentsField
* @description A latents field used for passing latents between invocations
*/
LatentsField: {
/**
* Latents Name
* @description The name of the latents
*/
latents_name: string;
};
/**
* LatentsOutput
* @description Base class for invocations that output latents
*/
LatentsOutput: {
/**
* Type
* @default latents_output
* @enum {string}
*/
type?: "latents_output";
/**
* Latents
* @description The output latents
*/
latents?: components["schemas"]["LatentsField"];
/**
* Width
* @description The width of the latents in pixels
*/
width: number;
/**
* Height
* @description The height of the latents in pixels
*/
height: number;
};
/**
* LatentsToImageInvocation
* @description Generates an image from latents.
*/
LatentsToImageInvocation: {
/**
* 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
* @enum {string}
*/
type?: "l2i";
/**
* Latents
* @description The latents to generate an image from
*/
latents?: components["schemas"]["LatentsField"];
/**
* Vae
* @description Vae submodel
*/
vae?: components["schemas"]["VaeField"];
/**
* Tiled
* @description Decode latents by overlaping tiles(less memory consumption)
* @default false
*/
tiled?: boolean;
};
/**
* LatentsToLatentsInvocation
* @description Generates latents using latents as base image.
*/
LatentsToLatentsInvocation: {
/**
* 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 l2l
* @enum {string}
*/
type?: "l2l";
/**
* 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";
/**
* Unet
* @description UNet submodel
*/
unet?: components["schemas"]["UNetField"];
/**
* Control
* @description The control to use
*/
control?: components["schemas"]["ControlField"] | (components["schemas"]["ControlField"])[];
/**
* Latents
* @description The latents to use as a base image
*/
latents?: components["schemas"]["LatentsField"];
/**
* Strength
* @description The strength of the latents to use
* @default 0.7
*/
strength?: number;
};
/**
* LineartAnimeImageProcessorInvocation
* @description Applies line art anime processing to image
*/
LineartAnimeImageProcessorInvocation: {
/**
* 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 lineart_anime_image_processor
* @enum {string}
*/
type?: "lineart_anime_image_processor";
/**
* Image
* @description The image to process
*/
image?: components["schemas"]["ImageField"];
/**
* Detect Resolution
* @description The pixel resolution for detection
* @default 512
*/
detect_resolution?: number;
/**
* Image Resolution
* @description The pixel resolution for the output image
* @default 512
*/
image_resolution?: number;
};
/**
* LineartImageProcessorInvocation
* @description Applies line art processing to image
*/
LineartImageProcessorInvocation: {
/**
* 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 lineart_image_processor
* @enum {string}
*/
type?: "lineart_image_processor";
/**
* Image
* @description The image to process
*/
image?: components["schemas"]["ImageField"];
/**
* Detect Resolution
* @description The pixel resolution for detection
* @default 512
*/
detect_resolution?: number;
/**
* Image Resolution
* @description The pixel resolution for the output image
* @default 512
*/
image_resolution?: number;
/**
* Coarse
* @description Whether to use coarse mode
* @default false
*/
coarse?: boolean;
};
/** LoRAModelConfig */
LoRAModelConfig: {
/** Name */
name: string;
base_model: components["schemas"]["BaseModelType"];
/**
* Type
* @enum {string}
*/
type: "lora";
/** Path */
path: string;
/** Description */
description?: string;
model_format: components["schemas"]["LoRAModelFormat"];
error?: components["schemas"]["ModelError"];
};
/**
* LoRAModelFormat
* @description An enumeration.
* @enum {string}
*/
LoRAModelFormat: "lycoris" | "diffusers";
/**
* LoadImageInvocation
* @description Load an image and provide it as output.
*/
LoadImageInvocation: {
/**
* 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 load_image
* @enum {string}
*/
type?: "load_image";
/**
* Image
* @description The image to load
*/
image?: components["schemas"]["ImageField"];
};
/** LoraInfo */
LoraInfo: {
/**
* Model Name
* @description Info to load submodel
*/
model_name: string;
/** @description Base model */
base_model: components["schemas"]["BaseModelType"];
/** @description Info to load submodel */
model_type: components["schemas"]["ModelType"];
/** @description Info to load submodel */
submodel?: components["schemas"]["SubModelType"];
/**
* Weight
* @description Lora's weight which to use when apply to model
*/
weight: number;
};
/**
* LoraLoaderInvocation
* @description Apply selected lora to unet and text_encoder.
*/
LoraLoaderInvocation: {
/**
* 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 lora_loader
* @enum {string}
*/
type?: "lora_loader";
/**
* Lora Name
* @description Lora model name
*/
lora_name: string;
/**
* Weight
* @description With what weight to apply lora
* @default 0.75
*/
weight?: number;
/**
* Unet
* @description UNet model for applying lora
*/
unet?: components["schemas"]["UNetField"];
/**
* Clip
* @description Clip model for applying lora
*/
clip?: components["schemas"]["ClipField"];
};
/**
* LoraLoaderOutput
* @description Model loader output
*/
LoraLoaderOutput: {
/**
* Type
* @default lora_loader_output
* @enum {string}
*/
type?: "lora_loader_output";
/**
* Unet
* @description UNet submodel
*/
unet?: components["schemas"]["UNetField"];
/**
* Clip
* @description Tokenizer and text_encoder submodels
*/
clip?: components["schemas"]["ClipField"];
};
/**
* MaskFromAlphaInvocation
* @description Extracts the alpha channel of an image as a mask.
*/
MaskFromAlphaInvocation: {
/**
* 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 tomask
* @enum {string}
*/
type?: "tomask";
/**
* Image
* @description The image to create the mask from
*/
image?: components["schemas"]["ImageField"];
/**
* Invert
* @description Whether or not to invert the mask
* @default false
*/
invert?: boolean;
};
/**
* MaskOutput
* @description Base class for invocations that output a mask
*/
MaskOutput: {
/**
* Type
* @default mask
* @enum {string}
*/
type: "mask";
/**
* Mask
* @description The output mask
*/
mask: components["schemas"]["ImageField"];
/**
* Width
* @description The width of the mask in pixels
*/
width?: number;
/**
* Height
* @description The height of the mask in pixels
*/
height?: number;
};
/**
* MediapipeFaceProcessorInvocation
* @description Applies mediapipe face processing to image
*/
MediapipeFaceProcessorInvocation: {
/**
* 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 mediapipe_face_processor
* @enum {string}
*/
type?: "mediapipe_face_processor";
/**
* Image
* @description The image to process
*/
image?: components["schemas"]["ImageField"];
/**
* Max Faces
* @description Maximum number of faces to detect
* @default 1
*/
max_faces?: number;
/**
* Min Confidence
* @description Minimum confidence for face detection
* @default 0.5
*/
min_confidence?: number;
};
/**
* MidasDepthImageProcessorInvocation
* @description Applies Midas depth processing to image
*/
MidasDepthImageProcessorInvocation: {
/**
* 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 midas_depth_image_processor
* @enum {string}
*/
type?: "midas_depth_image_processor";
/**
* Image
* @description The image to process
*/
image?: components["schemas"]["ImageField"];
/**
* A Mult
* @description Midas parameter `a_mult` (a = a_mult * PI)
* @default 2
*/
a_mult?: number;
/**
* Bg Th
* @description Midas parameter `bg_th`
* @default 0.1
*/
bg_th?: number;
};
/**
* MlsdImageProcessorInvocation
* @description Applies MLSD processing to image
*/
MlsdImageProcessorInvocation: {
/**
* 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 mlsd_image_processor
* @enum {string}
*/
type?: "mlsd_image_processor";
/**
* Image
* @description The image to process
*/
image?: components["schemas"]["ImageField"];
/**
* Detect Resolution
* @description The pixel resolution for detection
* @default 512
*/
detect_resolution?: number;
/**
* Image Resolution
* @description The pixel resolution for the output image
* @default 512
*/
image_resolution?: number;
/**
* Thr V
* @description MLSD parameter `thr_v`
* @default 0.1
*/
thr_v?: number;
/**
* Thr D
* @description MLSD parameter `thr_d`
* @default 0.1
*/
thr_d?: number;
};
/**
* ModelError
* @description An enumeration.
* @enum {string}
*/
ModelError: "not_found";
/** ModelInfo */
ModelInfo: {
/**
* Model Name
* @description Info to load submodel
*/
model_name: string;
/** @description Base model */
base_model: components["schemas"]["BaseModelType"];
/** @description Info to load submodel */
model_type: components["schemas"]["ModelType"];
/** @description Info to load submodel */
submodel?: components["schemas"]["SubModelType"];
};
/**
* ModelLoaderOutput
* @description Model loader output
*/
ModelLoaderOutput: {
/**
* Type
* @default model_loader_output
* @enum {string}
*/
type?: "model_loader_output";
/**
* Unet
* @description UNet submodel
*/
unet?: components["schemas"]["UNetField"];
/**
* Clip
* @description Tokenizer and text_encoder submodels
*/
clip?: components["schemas"]["ClipField"];
/**
* Vae
* @description Vae submodel
*/
vae?: components["schemas"]["VaeField"];
};
/**
* ModelType
* @description An enumeration.
* @enum {string}
*/
ModelType: "pipeline" | "vae" | "lora" | "controlnet" | "embedding";
/**
* ModelVariantType
* @description An enumeration.
* @enum {string}
*/
ModelVariantType: "normal" | "inpaint" | "depth";
/** ModelsList */
ModelsList: {
/** Models */
chore(ui): regen types
2023-06-27 03:57:41 +00:00
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"])[];
feat(ui): api layer refactor *migrate from `openapi-typescript-codegen` to `openapi-typescript` and `openapi-fetch`* `openapi-typescript-codegen` is not very actively maintained - it's been over a year since the last update. `openapi-typescript` and `openapi-fetch` are part of the actively maintained repo. key differences: - provides a `fetch` client instead of `axios`, which means we need to be a bit more verbose with typing thunks - fetch client is created at runtime and has a very nice typescript DX - generates a single file with all types in it, from which we then extract individual types. i don't like how verbose this is, but i do like how it is more explicit. - removed npm api generation scripts - now we have a single `typegen` script overall i have more confidence in this new library. *use nanostores for api base and token* very simple reactive store for api base url and token. this was suggested in the `openapi-fetch` docs and i quite like the strategy. *organise rtk-query api* split out each endpoint (models, images, boards, boardImages) into their own api extensions. tidy!
2023-06-23 09:14:13 +00:00
};
/**
* MultiplyInvocation
* @description Multiplies two numbers
*/
MultiplyInvocation: {
/**
* 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 mul
* @enum {string}
*/
type?: "mul";
/**
* A
* @description The first number
* @default 0
*/
a?: number;
/**
* B
* @description The second number
* @default 0
*/
b?: number;
};
/**
* NoiseInvocation
* @description Generates latent noise.
*/
NoiseInvocation: {
/**
* 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 noise
* @enum {string}
*/
type?: "noise";
/**
* Seed
* @description The seed to use
*/
seed?: number;
/**
* Width
* @description The width of the resulting noise
* @default 512
*/
width?: number;
/**
* Height
* @description The height of the resulting noise
* @default 512
*/
height?: number;
chore(ui): regen types
2023-06-27 03:57:41 +00:00
/**
* Perlin
* @description The amount of perlin noise to add to the noise
* @default 0
*/
perlin?: number;
/**
* Use Cpu
* @description Use CPU for noise generation (for reproducible results across platforms)
* @default true
*/
use_cpu?: boolean;
feat(ui): api layer refactor *migrate from `openapi-typescript-codegen` to `openapi-typescript` and `openapi-fetch`* `openapi-typescript-codegen` is not very actively maintained - it's been over a year since the last update. `openapi-typescript` and `openapi-fetch` are part of the actively maintained repo. key differences: - provides a `fetch` client instead of `axios`, which means we need to be a bit more verbose with typing thunks - fetch client is created at runtime and has a very nice typescript DX - generates a single file with all types in it, from which we then extract individual types. i don't like how verbose this is, but i do like how it is more explicit. - removed npm api generation scripts - now we have a single `typegen` script overall i have more confidence in this new library. *use nanostores for api base and token* very simple reactive store for api base url and token. this was suggested in the `openapi-fetch` docs and i quite like the strategy. *organise rtk-query api* split out each endpoint (models, images, boards, boardImages) into their own api extensions. tidy!
2023-06-23 09:14:13 +00:00
};
/**
* NoiseOutput
* @description Invocation noise output
*/
NoiseOutput: {
/**
* Type
* @default noise_output
* @enum {string}
*/
type?: "noise_output";
/**
* Noise
* @description The output noise
*/
noise?: components["schemas"]["LatentsField"];
/**
* Width
* @description The width of the noise in pixels
*/
width: number;
/**
* Height
* @description The height of the noise in pixels
*/
height: number;
};
/**
* NormalbaeImageProcessorInvocation
* @description Applies NormalBae processing to image
*/
NormalbaeImageProcessorInvocation: {
/**
* 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 normalbae_image_processor
* @enum {string}
*/
type?: "normalbae_image_processor";
/**
* Image
* @description The image to process
*/
image?: components["schemas"]["ImageField"];
/**
* Detect Resolution
* @description The pixel resolution for detection
* @default 512
*/
detect_resolution?: number;
/**
* Image Resolution
* @description The pixel resolution for the output image
* @default 512
*/
image_resolution?: number;
};
/**
* OffsetPaginatedResults[BoardDTO]
* @description Offset-paginated results
*/
OffsetPaginatedResults_BoardDTO_: {
/**
* Items
* @description Items
*/
items: (components["schemas"]["BoardDTO"])[];
/**
* Offset
* @description Offset from which to retrieve items
*/
offset: number;
/**
* Limit
* @description Limit of items to get
*/
limit: number;
/**
* Total
* @description Total number of items in result
*/
total: number;
};
/**
* OffsetPaginatedResults[ImageDTO]
* @description Offset-paginated results
*/
OffsetPaginatedResults_ImageDTO_: {
/**
* Items
* @description Items
*/
items: (components["schemas"]["ImageDTO"])[];
/**
* Offset
* @description Offset from which to retrieve items
*/
offset: number;
/**
* Limit
* @description Limit of items to get
*/
limit: number;
/**
* Total
* @description Total number of items in result
*/
total: number;
};
/**
* OpenposeImageProcessorInvocation
* @description Applies Openpose processing to image
*/
OpenposeImageProcessorInvocation: {
/**
* 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 openpose_image_processor
* @enum {string}
*/
type?: "openpose_image_processor";
/**
* Image
* @description The image to process
*/
image?: components["schemas"]["ImageField"];
/**
* Hand And Face
* @description Whether to use hands and face mode
* @default false
*/
hand_and_face?: boolean;
/**
* Detect Resolution
* @description The pixel resolution for detection
* @default 512
*/
detect_resolution?: number;
/**
* Image Resolution
* @description The pixel resolution for the output image
* @default 512
*/
image_resolution?: number;
};
/**
* PaginatedResults[GraphExecutionState]
* @description Paginated results
*/
PaginatedResults_GraphExecutionState_: {
/**
* Items
* @description Items
*/
items: (components["schemas"]["GraphExecutionState"])[];
/**
* Page
* @description Current Page
*/
page: number;
/**
* Pages
* @description Total number of pages
*/
pages: number;
/**
* Per Page
* @description Number of items per page
*/
per_page: number;
/**
* Total
* @description Total number of items in result
*/
total: number;
};
/**
* ParamFloatInvocation
* @description A float parameter
*/
ParamFloatInvocation: {
/**
* Id
* @description The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Is Intermediate
* @description Whether or not this node is an intermediate node.
* @default false
*/
is_intermediate?: boolean;
/**
* Type
* @default param_float
* @enum {string}
*/
type?: "param_float";
/**
* Param
* @description The float value
* @default 0
*/
param?: number;
};
/**
* ParamIntInvocation
* @description An integer parameter
*/
ParamIntInvocation: {
/**
* Id
* @description The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Is Intermediate
* @description Whether or not this node is an intermediate node.
* @default false
*/
is_intermediate?: boolean;
/**
* Type
* @default param_int
* @enum {string}
*/
type?: "param_int";
/**
* A
* @description The integer value
* @default 0
*/
a?: number;
};
/**
* PidiImageProcessorInvocation
* @description Applies PIDI processing to image
*/
PidiImageProcessorInvocation: {
/**
* 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 pidi_image_processor
* @enum {string}
*/
type?: "pidi_image_processor";
/**
* Image
* @description The image to process
*/
image?: components["schemas"]["ImageField"];
/**
* Detect Resolution
* @description The pixel resolution for detection
* @default 512
*/
detect_resolution?: number;
/**
* Image Resolution
* @description The pixel resolution for the output image
* @default 512
*/
image_resolution?: number;
/**
* Safe
* @description Whether to use safe mode
* @default false
*/
safe?: boolean;
/**
* Scribble
* @description Whether to use scribble mode
* @default false
*/
scribble?: boolean;
};
/**
* PipelineModelField
* @description Pipeline model field
*/
PipelineModelField: {
/**
* Model Name
* @description Name of the model
*/
model_name: string;
/** @description Base model */
base_model: components["schemas"]["BaseModelType"];
};
/**
* PipelineModelLoaderInvocation
* @description Loads a pipeline model, outputting its submodels.
*/
PipelineModelLoaderInvocation: {
/**
* 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 pipeline_model_loader
* @enum {string}
*/
type?: "pipeline_model_loader";
/**
* Model
* @description The model to load
*/
model: components["schemas"]["PipelineModelField"];
};
/**
* PromptCollectionOutput
* @description Base class for invocations that output a collection of prompts
*/
PromptCollectionOutput: {
/**
* Type
* @default prompt_collection_output
* @enum {string}
*/
type: "prompt_collection_output";
/**
* Prompt Collection
* @description The output prompt collection
*/
prompt_collection: (string)[];
/**
* Count
* @description The size of the prompt collection
*/
count: number;
};
/**
* PromptOutput
* @description Base class for invocations that output a prompt
*/
PromptOutput: {
/**
* Type
* @default prompt
* @enum {string}
*/
type: "prompt";
/**
* Prompt
* @description The output prompt
*/
prompt: string;
};
/**
* RandomIntInvocation
* @description Outputs a single random integer.
*/
RandomIntInvocation: {
/**
* 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 rand_int
* @enum {string}
*/
type?: "rand_int";
/**
* Low
* @description The inclusive low value
* @default 0
*/
low?: number;
/**
* High
* @description The exclusive high value
* @default 2147483647
*/
high?: number;
};
/**
* RandomRangeInvocation
* @description Creates a collection of random numbers
*/
RandomRangeInvocation: {
/**
* 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 random_range
* @enum {string}
*/
type?: "random_range";
/**
* Low
* @description The inclusive low value
* @default 0
*/
low?: number;
/**
* High
* @description The exclusive high value
* @default 2147483647
*/
high?: number;
/**
* Size
* @description The number of values to generate
* @default 1
*/
size?: number;
/**
* Seed
* @description The seed for the RNG (omit for random)
*/
seed?: number;
};
/**
* RangeInvocation
* @description Creates a range of numbers from start to stop with step
*/
RangeInvocation: {
/**
* 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 range
* @enum {string}
*/
type?: "range";
/**
* Start
* @description The start of the range
* @default 0
*/
start?: number;
/**
* Stop
* @description The stop of the range
* @default 10
*/
stop?: number;
/**
* Step
* @description The step of the range
* @default 1
*/
step?: number;
};
/**
* RangeOfSizeInvocation
* @description Creates a range from start to start + size with step
*/
RangeOfSizeInvocation: {
/**
* 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 range_of_size
* @enum {string}
*/
type?: "range_of_size";
/**
* Start
* @description The start of the range
* @default 0
*/
start?: number;
/**
* Size
* @description The number of values
* @default 1
*/
size?: number;
/**
* Step
* @description The step of the range
* @default 1
*/
step?: number;
};
/**
* ResizeLatentsInvocation
* @description Resizes latents to explicit width/height (in pixels). Provided dimensions are floor-divided by 8.
*/
ResizeLatentsInvocation: {
/**
* 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 lresize
* @enum {string}
*/
type?: "lresize";
/**
* Latents
* @description The latents to resize
*/
latents?: components["schemas"]["LatentsField"];
/**
* Width
* @description The width to resize to (px)
*/
width: number;
/**
* Height
* @description The height to resize to (px)
*/
height: number;
/**
* Mode
* @description The interpolation mode
* @default bilinear
* @enum {string}
*/
mode?: "nearest" | "linear" | "bilinear" | "bicubic" | "trilinear" | "area" | "nearest-exact";
/**
* Antialias
* @description Whether or not to antialias (applied in bilinear and bicubic modes only)
* @default false
*/
antialias?: boolean;
};
/**
* ResourceOrigin
* @description The origin of a resource (eg image).
*
* - INTERNAL: The resource was created by the application.
* - EXTERNAL: The resource was not created by the application.
* This may be a user-initiated upload, or an internal application upload (eg Canvas init image).
* @enum {string}
*/
ResourceOrigin: "internal" | "external";
/**
* RestoreFaceInvocation
* @description Restores faces in an image.
*/
RestoreFaceInvocation: {
/**
* 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 restore_face
* @enum {string}
*/
type?: "restore_face";
/**
* Image
* @description The input image
*/
image?: components["schemas"]["ImageField"];
/**
* Strength
* @description The strength of the restoration
* @default 0.75
*/
strength?: number;
};
/**
* ScaleLatentsInvocation
* @description Scales latents by a given factor.
*/
ScaleLatentsInvocation: {
/**
* 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 lscale
* @enum {string}
*/
type?: "lscale";
/**
* Latents
* @description The latents to scale
*/
latents?: components["schemas"]["LatentsField"];
/**
* Scale Factor
* @description The factor by which to scale the latents
*/
scale_factor: number;
/**
* Mode
* @description The interpolation mode
* @default bilinear
* @enum {string}
*/
mode?: "nearest" | "linear" | "bilinear" | "bicubic" | "trilinear" | "area" | "nearest-exact";
/**
* Antialias
* @description Whether or not to antialias (applied in bilinear and bicubic modes only)
* @default false
*/
antialias?: boolean;
};
/**
* SchedulerPredictionType
* @description An enumeration.
* @enum {string}
*/
SchedulerPredictionType: "epsilon" | "v_prediction" | "sample";
/**
* ShowImageInvocation
* @description Displays a provided image, and passes it forward in the pipeline.
*/
ShowImageInvocation: {
/**
* 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 show_image
* @enum {string}
*/
type?: "show_image";
/**
* Image
* @description The image to show
*/
image?: components["schemas"]["ImageField"];
};
/** StableDiffusion1ModelCheckpointConfig */
StableDiffusion1ModelCheckpointConfig: {
/** Name */
name: string;
base_model: components["schemas"]["BaseModelType"];
/**
* Type
* @enum {string}
*/
type: "pipeline";
/** Path */
path: string;
/** Description */
description?: string;
/**
* Model Format
* @enum {string}
*/
model_format: "checkpoint";
error?: components["schemas"]["ModelError"];
/** Vae */
vae?: string;
/** Config */
config?: string;
variant: components["schemas"]["ModelVariantType"];
};
/** StableDiffusion1ModelDiffusersConfig */
StableDiffusion1ModelDiffusersConfig: {
/** Name */
name: string;
base_model: components["schemas"]["BaseModelType"];
/**
* Type
* @enum {string}
*/
type: "pipeline";
/** Path */
path: string;
/** Description */
description?: string;
/**
* Model Format
* @enum {string}
*/
model_format: "diffusers";
error?: components["schemas"]["ModelError"];
/** Vae */
vae?: string;
variant: components["schemas"]["ModelVariantType"];
};
/** StableDiffusion2ModelCheckpointConfig */
StableDiffusion2ModelCheckpointConfig: {
/** Name */
name: string;
base_model: components["schemas"]["BaseModelType"];
/**
* Type
* @enum {string}
*/
type: "pipeline";
/** Path */
path: string;
/** Description */
description?: string;
/**
* Model Format
* @enum {string}
*/
model_format: "checkpoint";
error?: components["schemas"]["ModelError"];
/** Vae */
vae?: string;
/** Config */
config?: string;
variant: components["schemas"]["ModelVariantType"];
prediction_type: components["schemas"]["SchedulerPredictionType"];
/** Upcast Attention */
upcast_attention: boolean;
};
/** StableDiffusion2ModelDiffusersConfig */
StableDiffusion2ModelDiffusersConfig: {
/** Name */
name: string;
base_model: components["schemas"]["BaseModelType"];
/**
* Type
* @enum {string}
*/
type: "pipeline";
/** Path */
path: string;
/** Description */
description?: string;
/**
* Model Format
* @enum {string}
*/
model_format: "diffusers";
error?: components["schemas"]["ModelError"];
/** Vae */
vae?: string;
variant: components["schemas"]["ModelVariantType"];
prediction_type: components["schemas"]["SchedulerPredictionType"];
/** Upcast Attention */
upcast_attention: boolean;
};
/**
* StepParamEasingInvocation
* @description Experimental per-step parameter easing for denoising steps
*/
StepParamEasingInvocation: {
/**
* 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 step_param_easing
* @enum {string}
*/
type?: "step_param_easing";
/**
* Easing
* @description The easing function to use
* @default Linear
* @enum {string}
*/
easing?: "Linear" | "QuadIn" | "QuadOut" | "QuadInOut" | "CubicIn" | "CubicOut" | "CubicInOut" | "QuarticIn" | "QuarticOut" | "QuarticInOut" | "QuinticIn" | "QuinticOut" | "QuinticInOut" | "SineIn" | "SineOut" | "SineInOut" | "CircularIn" | "CircularOut" | "CircularInOut" | "ExponentialIn" | "ExponentialOut" | "ExponentialInOut" | "ElasticIn" | "ElasticOut" | "ElasticInOut" | "BackIn" | "BackOut" | "BackInOut" | "BounceIn" | "BounceOut" | "BounceInOut";
/**
* Num Steps
* @description number of denoising steps
* @default 20
*/
num_steps?: number;
/**
* Start Value
* @description easing starting value
* @default 0
*/
start_value?: number;
/**
* End Value
* @description easing ending value
* @default 1
*/
end_value?: number;
/**
* Start Step Percent
* @description fraction of steps at which to start easing
* @default 0
*/
start_step_percent?: number;
/**
* End Step Percent
* @description fraction of steps after which to end easing
* @default 1
*/
end_step_percent?: number;
/**
* Pre Start Value
* @description value before easing start
*/
pre_start_value?: number;
/**
* Post End Value
* @description value after easing end
*/
post_end_value?: number;
/**
* Mirror
* @description include mirror of easing function
* @default false
*/
mirror?: boolean;
/**
* Show Easing Plot
* @description show easing plot
* @default false
*/
show_easing_plot?: boolean;
};
/**
* SubModelType
* @description An enumeration.
* @enum {string}
*/
SubModelType: "unet" | "text_encoder" | "tokenizer" | "vae" | "scheduler" | "safety_checker";
/**
* SubtractInvocation
* @description Subtracts two numbers
*/
SubtractInvocation: {
/**
* 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 sub
* @enum {string}
*/
type?: "sub";
/**
* A
* @description The first number
* @default 0
*/
a?: number;
/**
* B
* @description The second number
* @default 0
*/
b?: number;
};
/**
* TextToLatentsInvocation
* @description Generates latents from conditionings.
*/
TextToLatentsInvocation: {
/**
* 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
* @enum {string}
*/
type?: "t2l";
/**
* 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";
/**
* Unet
* @description UNet submodel
*/
unet?: components["schemas"]["UNetField"];
/**
* Control
* @description The control to use
*/
control?: components["schemas"]["ControlField"] | (components["schemas"]["ControlField"])[];
};
/** TextualInversionModelConfig */
TextualInversionModelConfig: {
/** Name */
name: string;
base_model: components["schemas"]["BaseModelType"];
/**
* Type
* @enum {string}
*/
type: "embedding";
/** Path */
path: string;
/** Description */
description?: string;
/** Model Format */
model_format: null;
error?: components["schemas"]["ModelError"];
};
/** UNetField */
UNetField: {
/**
* Unet
* @description Info to load unet submodel
*/
unet: components["schemas"]["ModelInfo"];
/**
* Scheduler
* @description Info to load scheduler submodel
*/
scheduler: components["schemas"]["ModelInfo"];
/**
* Loras
* @description Loras to apply on model loading
*/
loras: (components["schemas"]["LoraInfo"])[];
};
/**
* UpscaleInvocation
* @description Upscales an image.
*/
UpscaleInvocation: {
/**
* 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 upscale
* @enum {string}
*/
type?: "upscale";
/**
* Image
* @description The input image
*/
image?: components["schemas"]["ImageField"];
/**
* Strength
* @description The strength
* @default 0.75
*/
strength?: number;
/**
* Level
* @description The upscale level
* @default 2
* @enum {integer}
*/
level?: 2 | 4;
};
/** VaeField */
VaeField: {
/**
* Vae
* @description Info to load vae submodel
*/
vae: components["schemas"]["ModelInfo"];
};
/** VaeModelConfig */
VaeModelConfig: {
/** Name */
name: string;
base_model: components["schemas"]["BaseModelType"];
/**
* Type
* @enum {string}
*/
type: "vae";
/** Path */
path: string;
/** Description */
description?: string;
model_format: components["schemas"]["VaeModelFormat"];
error?: components["schemas"]["ModelError"];
};
/**
* VaeModelFormat
* @description An enumeration.
* @enum {string}
*/
VaeModelFormat: "checkpoint" | "diffusers";
/** VaeRepo */
VaeRepo: {
/**
* Repo Id
* @description The repo ID to use for this VAE
*/
repo_id: string;
/**
* Path
* @description The path to the VAE
*/
path?: string;
/**
* Subfolder
* @description The subfolder to use for this VAE
*/
subfolder?: string;
};
/** ValidationError */
ValidationError: {
/** Location */
loc: (string | number)[];
/** Message */
msg: string;
/** Error Type */
type: string;
};
/**
* ZoeDepthImageProcessorInvocation
* @description Applies Zoe depth processing to image
*/
ZoeDepthImageProcessorInvocation: {
/**
* 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 zoe_depth_image_processor
* @enum {string}
*/
type?: "zoe_depth_image_processor";
/**
* Image
* @description The image to process
*/
image?: components["schemas"]["ImageField"];
};
/**
chore(ui): regen types
2023-06-27 03:57:41 +00:00
* StableDiffusion2ModelFormat
feat(ui): api layer refactor *migrate from `openapi-typescript-codegen` to `openapi-typescript` and `openapi-fetch`* `openapi-typescript-codegen` is not very actively maintained - it's been over a year since the last update. `openapi-typescript` and `openapi-fetch` are part of the actively maintained repo. key differences: - provides a `fetch` client instead of `axios`, which means we need to be a bit more verbose with typing thunks - fetch client is created at runtime and has a very nice typescript DX - generates a single file with all types in it, from which we then extract individual types. i don't like how verbose this is, but i do like how it is more explicit. - removed npm api generation scripts - now we have a single `typegen` script overall i have more confidence in this new library. *use nanostores for api base and token* very simple reactive store for api base url and token. this was suggested in the `openapi-fetch` docs and i quite like the strategy. *organise rtk-query api* split out each endpoint (models, images, boards, boardImages) into their own api extensions. tidy!
2023-06-23 09:14:13 +00:00
* @description An enumeration.
* @enum {string}
*/
chore(ui): regen types
2023-06-27 03:57:41 +00:00
StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
feat(ui): api layer refactor *migrate from `openapi-typescript-codegen` to `openapi-typescript` and `openapi-fetch`* `openapi-typescript-codegen` is not very actively maintained - it's been over a year since the last update. `openapi-typescript` and `openapi-fetch` are part of the actively maintained repo. key differences: - provides a `fetch` client instead of `axios`, which means we need to be a bit more verbose with typing thunks - fetch client is created at runtime and has a very nice typescript DX - generates a single file with all types in it, from which we then extract individual types. i don't like how verbose this is, but i do like how it is more explicit. - removed npm api generation scripts - now we have a single `typegen` script overall i have more confidence in this new library. *use nanostores for api base and token* very simple reactive store for api base url and token. this was suggested in the `openapi-fetch` docs and i quite like the strategy. *organise rtk-query api* split out each endpoint (models, images, boards, boardImages) into their own api extensions. tidy!
2023-06-23 09:14:13 +00:00
/**
chore(ui): regen types
2023-06-27 03:57:41 +00:00
* StableDiffusion1ModelFormat
feat(ui): api layer refactor *migrate from `openapi-typescript-codegen` to `openapi-typescript` and `openapi-fetch`* `openapi-typescript-codegen` is not very actively maintained - it's been over a year since the last update. `openapi-typescript` and `openapi-fetch` are part of the actively maintained repo. key differences: - provides a `fetch` client instead of `axios`, which means we need to be a bit more verbose with typing thunks - fetch client is created at runtime and has a very nice typescript DX - generates a single file with all types in it, from which we then extract individual types. i don't like how verbose this is, but i do like how it is more explicit. - removed npm api generation scripts - now we have a single `typegen` script overall i have more confidence in this new library. *use nanostores for api base and token* very simple reactive store for api base url and token. this was suggested in the `openapi-fetch` docs and i quite like the strategy. *organise rtk-query api* split out each endpoint (models, images, boards, boardImages) into their own api extensions. tidy!
2023-06-23 09:14:13 +00:00
* @description An enumeration.
* @enum {string}
*/
chore(ui): regen types
2023-06-27 03:57:41 +00:00
StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
feat(ui): api layer refactor *migrate from `openapi-typescript-codegen` to `openapi-typescript` and `openapi-fetch`* `openapi-typescript-codegen` is not very actively maintained - it's been over a year since the last update. `openapi-typescript` and `openapi-fetch` are part of the actively maintained repo. key differences: - provides a `fetch` client instead of `axios`, which means we need to be a bit more verbose with typing thunks - fetch client is created at runtime and has a very nice typescript DX - generates a single file with all types in it, from which we then extract individual types. i don't like how verbose this is, but i do like how it is more explicit. - removed npm api generation scripts - now we have a single `typegen` script overall i have more confidence in this new library. *use nanostores for api base and token* very simple reactive store for api base url and token. this was suggested in the `openapi-fetch` docs and i quite like the strategy. *organise rtk-query api* split out each endpoint (models, images, boards, boardImages) into their own api extensions. tidy!
2023-06-23 09:14:13 +00:00
};
responses: never;
parameters: never;
requestBodies: never;
headers: never;
pathItems: never;
};
export type external = Record<string, never>;
export type operations = {
/**
* List Sessions
* @description Gets a list of sessions, optionally searching
*/
list_sessions: {
parameters: {
query?: {
/** @description The page of results to get */
page?: number;
/** @description The number of results per page */
per_page?: number;
/** @description The query string to search for */
query?: string;
};
};
responses: {
/** @description Successful Response */
200: {
content: {
"application/json": components["schemas"]["PaginatedResults_GraphExecutionState_"];
};
};
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
/**
* Create Session
* @description Creates a new session, optionally initializing it with an invocation graph
*/
create_session: {
requestBody?: {
content: {
"application/json": components["schemas"]["Graph"];
};
};
responses: {
/** @description Successful Response */
200: {
content: {
"application/json": components["schemas"]["GraphExecutionState"];
};
};
/** @description Invalid json */
400: never;
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
/**
* Get Session
* @description Gets a session
*/
get_session: {
parameters: {
path: {
/** @description The id of the session to get */
session_id: string;
};
};
responses: {
/** @description Successful Response */
200: {
content: {
"application/json": components["schemas"]["GraphExecutionState"];
};
};
/** @description Session not found */
404: never;
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
/**
* Add Node
* @description Adds a node to the graph
*/
add_node: {
parameters: {
path: {
/** @description The id of the session */
session_id: string;
};
};
requestBody: {
content: {
chore(ui): regen types
2023-06-27 03:57:41 +00:00
"application/json": components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["PipelineModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["UpscaleInvocation"] | components["schemas"]["RestoreFaceInvocation"] | 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"]["LatentsToLatentsInvocation"];
feat(ui): api layer refactor *migrate from `openapi-typescript-codegen` to `openapi-typescript` and `openapi-fetch`* `openapi-typescript-codegen` is not very actively maintained - it's been over a year since the last update. `openapi-typescript` and `openapi-fetch` are part of the actively maintained repo. key differences: - provides a `fetch` client instead of `axios`, which means we need to be a bit more verbose with typing thunks - fetch client is created at runtime and has a very nice typescript DX - generates a single file with all types in it, from which we then extract individual types. i don't like how verbose this is, but i do like how it is more explicit. - removed npm api generation scripts - now we have a single `typegen` script overall i have more confidence in this new library. *use nanostores for api base and token* very simple reactive store for api base url and token. this was suggested in the `openapi-fetch` docs and i quite like the strategy. *organise rtk-query api* split out each endpoint (models, images, boards, boardImages) into their own api extensions. tidy!
2023-06-23 09:14:13 +00:00
};
};
responses: {
/** @description Successful Response */
200: {
content: {
"application/json": string;
};
};
/** @description Invalid node or link */
400: never;
/** @description Session not found */
404: never;
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
/**
* Update Node
* @description Updates a node in the graph and removes all linked edges
*/
update_node: {
parameters: {
path: {
/** @description The id of the session */
session_id: string;
/** @description The path to the node in the graph */
node_path: string;
};
};
requestBody: {
content: {
chore(ui): regen types
2023-06-27 03:57:41 +00:00
"application/json": components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["PipelineModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["UpscaleInvocation"] | components["schemas"]["RestoreFaceInvocation"] | 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"]["LatentsToLatentsInvocation"];
feat(ui): api layer refactor *migrate from `openapi-typescript-codegen` to `openapi-typescript` and `openapi-fetch`* `openapi-typescript-codegen` is not very actively maintained - it's been over a year since the last update. `openapi-typescript` and `openapi-fetch` are part of the actively maintained repo. key differences: - provides a `fetch` client instead of `axios`, which means we need to be a bit more verbose with typing thunks - fetch client is created at runtime and has a very nice typescript DX - generates a single file with all types in it, from which we then extract individual types. i don't like how verbose this is, but i do like how it is more explicit. - removed npm api generation scripts - now we have a single `typegen` script overall i have more confidence in this new library. *use nanostores for api base and token* very simple reactive store for api base url and token. this was suggested in the `openapi-fetch` docs and i quite like the strategy. *organise rtk-query api* split out each endpoint (models, images, boards, boardImages) into their own api extensions. tidy!
2023-06-23 09:14:13 +00:00
};
};
responses: {
/** @description Successful Response */
200: {
content: {
"application/json": components["schemas"]["GraphExecutionState"];
};
};
/** @description Invalid node or link */
400: never;
/** @description Session not found */
404: never;
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
/**
* Delete Node
* @description Deletes a node in the graph and removes all linked edges
*/
delete_node: {
parameters: {
path: {
/** @description The id of the session */
session_id: string;
/** @description The path to the node to delete */
node_path: string;
};
};
responses: {
/** @description Successful Response */
200: {
content: {
"application/json": components["schemas"]["GraphExecutionState"];
};
};
/** @description Invalid node or link */
400: never;
/** @description Session not found */
404: never;
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
/**
* Add Edge
* @description Adds an edge to the graph
*/
add_edge: {
parameters: {
path: {
/** @description The id of the session */
session_id: string;
};
};
requestBody: {
content: {
"application/json": components["schemas"]["Edge"];
};
};
responses: {
/** @description Successful Response */
200: {
content: {
"application/json": components["schemas"]["GraphExecutionState"];
};
};
/** @description Invalid node or link */
400: never;
/** @description Session not found */
404: never;
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
/**
* Delete Edge
* @description Deletes an edge from the graph
*/
delete_edge: {
parameters: {
path: {
/** @description The id of the session */
session_id: string;
/** @description The id of the node the edge is coming from */
from_node_id: string;
/** @description The field of the node the edge is coming from */
from_field: string;
/** @description The id of the node the edge is going to */
to_node_id: string;
/** @description The field of the node the edge is going to */
to_field: string;
};
};
responses: {
/** @description Successful Response */
200: {
content: {
"application/json": components["schemas"]["GraphExecutionState"];
};
};
/** @description Invalid node or link */
400: never;
/** @description Session not found */
404: never;
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
/**
* Invoke Session
* @description Invokes a session
*/
invoke_session: {
parameters: {
query?: {
/** @description Whether or not to invoke all remaining invocations */
all?: boolean;
};
path: {
/** @description The id of the session to invoke */
session_id: string;
};
};
responses: {
/** @description Successful Response */
200: {
content: {
"application/json": unknown;
};
};
/** @description The invocation is queued */
202: never;
/** @description The session has no invocations ready to invoke */
400: never;
/** @description Session not found */
404: never;
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
/**
* Cancel Session Invoke
* @description Invokes a session
*/
cancel_session_invoke: {
parameters: {
path: {
/** @description The id of the session to cancel */
session_id: string;
};
};
responses: {
/** @description Successful Response */
200: {
content: {
"application/json": unknown;
};
};
/** @description The invocation is canceled */
202: never;
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
/**
* List Models
* @description Gets a list of models
*/
list_models: {
parameters: {
query?: {
/** @description Base model */
base_model?: components["schemas"]["BaseModelType"];
/** @description The type of model to get */
model_type?: components["schemas"]["ModelType"];
};
};
responses: {
/** @description Successful Response */
200: {
content: {
"application/json": components["schemas"]["ModelsList"];
};
};
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
/**
* Update Model
* @description Add Model
*/
update_model: {
requestBody: {
content: {
"application/json": components["schemas"]["CreateModelRequest"];
};
};
responses: {
/** @description Successful Response */
200: {
content: {
"application/json": unknown;
};
};
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
/**
* Delete Model
* @description Delete Model
*/
del_model: {
parameters: {
path: {
model_name: string;
};
};
responses: {
/** @description Successful Response */
200: {
content: {
"application/json": unknown;
};
};
/** @description Model deleted successfully */
204: never;
/** @description Model not found */
404: never;
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
/**
* List Images With Metadata
* @description Gets a list of images
*/
list_images_with_metadata: {
parameters: {
query?: {
/** @description The origin of images to list */
image_origin?: components["schemas"]["ResourceOrigin"];
/** @description The categories of image to include */
categories?: (components["schemas"]["ImageCategory"])[];
/** @description Whether to list intermediate images */
is_intermediate?: boolean;
/** @description The board id to filter by */
board_id?: string;
/** @description The page offset */
offset?: number;
/** @description The number of images per page */
limit?: number;
};
};
responses: {
/** @description Successful Response */
200: {
content: {
"application/json": components["schemas"]["OffsetPaginatedResults_ImageDTO_"];
};
};
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
/**
* Upload Image
* @description Uploads an image
*/
upload_image: {
parameters: {
query: {
/** @description The category of the image */
image_category: components["schemas"]["ImageCategory"];
/** @description Whether this is an intermediate image */
is_intermediate: boolean;
/** @description The session ID associated with this upload, if any */
session_id?: string;
};
};
requestBody: {
content: {
"multipart/form-data": components["schemas"]["Body_upload_image"];
};
};
responses: {
/** @description The image was uploaded successfully */
201: {
content: {
"application/json": components["schemas"]["ImageDTO"];
};
};
/** @description Image upload failed */
415: never;
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
/**
* Get Image Full
* @description Gets a full-resolution image file
*/
get_image_full: {
parameters: {
path: {
/** @description The name of full-resolution image file to get */
image_name: string;
};
};
responses: {
/** @description Return the full-resolution image */
200: {
content: {
"image/png": unknown;
};
};
/** @description Image not found */
404: never;
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
/**
* Delete Image
* @description Deletes an image
*/
delete_image: {
parameters: {
path: {
/** @description The name of the image to delete */
image_name: string;
};
};
responses: {
/** @description Successful Response */
200: {
content: {
"application/json": unknown;
};
};
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
/**
* Update Image
* @description Updates an image
*/
update_image: {
parameters: {
path: {
/** @description The name of the image to update */
image_name: string;
};
};
requestBody: {
content: {
"application/json": components["schemas"]["ImageRecordChanges"];
};
};
responses: {
/** @description Successful Response */
200: {
content: {
"application/json": components["schemas"]["ImageDTO"];
};
};
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
/**
* Get Image Metadata
* @description Gets an image's metadata
*/
get_image_metadata: {
parameters: {
path: {
/** @description The name of image to get */
image_name: string;
};
};
responses: {
/** @description Successful Response */
200: {
content: {
"application/json": components["schemas"]["ImageDTO"];
};
};
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
/**
* Get Image Thumbnail
* @description Gets a thumbnail image file
*/
get_image_thumbnail: {
parameters: {
path: {
/** @description The name of thumbnail image file to get */
image_name: string;
};
};
responses: {
/** @description Return the image thumbnail */
200: {
content: {
"image/webp": unknown;
};
};
/** @description Image not found */
404: never;
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
/**
* Get Image Urls
* @description Gets an image and thumbnail URL
*/
get_image_urls: {
parameters: {
path: {
/** @description The name of the image whose URL to get */
image_name: string;
};
};
responses: {
/** @description Successful Response */
200: {
content: {
"application/json": components["schemas"]["ImageUrlsDTO"];
};
};
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
/**
* List Boards
* @description Gets a list of boards
*/
list_boards: {
parameters: {
query?: {
/** @description Whether to list all boards */
all?: boolean;
/** @description The page offset */
offset?: number;
/** @description The number of boards per page */
limit?: number;
};
};
responses: {
/** @description Successful Response */
200: {
content: {
"application/json": components["schemas"]["OffsetPaginatedResults_BoardDTO_"] | (components["schemas"]["BoardDTO"])[];
};
};
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
/**
* Create Board
* @description Creates a board
*/
create_board: {
parameters: {
query: {
/** @description The name of the board to create */
board_name: string;
};
};
responses: {
/** @description The board was created successfully */
201: {
content: {
"application/json": components["schemas"]["BoardDTO"];
};
};
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
/**
* Get Board
* @description Gets a board
*/
get_board: {
parameters: {
path: {
/** @description The id of board to get */
board_id: string;
};
};
responses: {
/** @description Successful Response */
200: {
content: {
"application/json": components["schemas"]["BoardDTO"];
};
};
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
/**
* Delete Board
* @description Deletes a board
*/
delete_board: {
parameters: {
path: {
/** @description The id of board to delete */
board_id: string;
};
};
responses: {
/** @description Successful Response */
200: {
content: {
"application/json": unknown;
};
};
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
/**
* Update Board
* @description Updates a board
*/
update_board: {
parameters: {
path: {
/** @description The id of board to update */
board_id: string;
};
};
requestBody: {
content: {
"application/json": components["schemas"]["BoardChanges"];
};
};
responses: {
/** @description The board was updated successfully */
201: {
content: {
"application/json": components["schemas"]["BoardDTO"];
};
};
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
/**
* Create Board Image
* @description Creates a board_image
*/
create_board_image: {
requestBody: {
content: {
"application/json": components["schemas"]["Body_create_board_image"];
};
};
responses: {
/** @description The image was added to a board successfully */
201: {
content: {
"application/json": unknown;
};
};
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
/**
* Remove Board Image
* @description Deletes a board_image
*/
remove_board_image: {
requestBody: {
content: {
"application/json": components["schemas"]["Body_remove_board_image"];
};
};
responses: {
/** @description The image was removed from the board successfully */
201: {
content: {
"application/json": unknown;
};
};
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
/**
* List Board Images
* @description Gets a list of images for a board
*/
list_board_images: {
parameters: {
query?: {
/** @description The page offset */
offset?: number;
/** @description The number of boards per page */
limit?: number;
};
path: {
/** @description The id of the board */
board_id: string;
};
};
responses: {
/** @description Successful Response */
200: {
content: {
"application/json": components["schemas"]["OffsetPaginatedResults_ImageDTO_"];
};
};
/** @description Validation Error */
422: {
content: {
"application/json": components["schemas"]["HTTPValidationError"];
};
};
};
};
};
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