/**
 * This file was auto-generated by openapi-typescript.
 * Do not make direct changes to the file.
 */


export type paths = {
  "/api/v1/sessions/{session_id}": {
    /**
     * Get Session
     * @description Gets a session
     */
    get: operations["get_session"];
  };
  "/api/v1/utilities/dynamicprompts": {
    /**
     * Parse Dynamicprompts
     * @description Creates a batch process
     */
    post: operations["parse_dynamicprompts"];
  };
  "/api/v1/models/": {
    /**
     * List Models
     * @description Gets a list of models
     */
    get: operations["list_models"];
  };
  "/api/v1/models/{base_model}/{model_type}/{model_name}": {
    /**
     * Delete Model
     * @description Delete Model
     */
    delete: operations["del_model"];
    /**
     * Update Model
     * @description Update model contents with a new config. If the model name or base fields are changed, then the model is renamed.
     */
    patch: operations["update_model"];
  };
  "/api/v1/models/import": {
    /**
     * Import Model
     * @description Add a model using its local path, repo_id, or remote URL. Model characteristics will be probed and configured automatically
     */
    post: operations["import_model"];
  };
  "/api/v1/models/add": {
    /**
     * Add Model
     * @description Add a model using the configuration information appropriate for its type. Only local models can be added by path
     */
    post: operations["add_model"];
  };
  "/api/v1/models/convert/{base_model}/{model_type}/{model_name}": {
    /**
     * Convert Model
     * @description Convert a checkpoint model into a diffusers model, optionally saving to the indicated destination directory, or `models` if none.
     */
    put: operations["convert_model"];
  };
  "/api/v1/models/search": {
    /** Search For Models */
    get: operations["search_for_models"];
  };
  "/api/v1/models/ckpt_confs": {
    /**
     * List Ckpt Configs
     * @description Return a list of the legacy checkpoint configuration files stored in `ROOT/configs/stable-diffusion`, relative to ROOT.
     */
    get: operations["list_ckpt_configs"];
  };
  "/api/v1/models/sync": {
    /**
     * Sync To Config
     * @description Call after making changes to models.yaml, autoimport directories or models directory to synchronize
     * in-memory data structures with disk data structures.
     */
    post: operations["sync_to_config"];
  };
  "/api/v1/models/merge/{base_model}": {
    /**
     * Merge Models
     * @description Convert a checkpoint model into a diffusers model
     */
    put: operations["merge_models"];
  };
  "/api/v1/model/record/": {
    /**
     * List Model Records
     * @description Get a list of models.
     */
    get: operations["list_model_records"];
  };
  "/api/v1/model/record/i/{key}": {
    /**
     * Get Model Record
     * @description Get a model record
     */
    get: operations["get_model_record"];
    /**
     * Del Model Record
     * @description Delete Model
     */
    delete: operations["del_model_record"];
    /**
     * Update Model Record
     * @description Update model contents with a new config. If the model name or base fields are changed, then the model is renamed.
     */
    patch: operations["update_model_record"];
  };
  "/api/v1/model/record/i/": {
    /**
     * Add Model Record
     * @description Add a model using the configuration information appropriate for its type.
     */
    post: operations["add_model_record"];
  };
  "/api/v1/images/upload": {
    /**
     * Upload Image
     * @description Uploads an image
     */
    post: operations["upload_image"];
  };
  "/api/v1/images/i/{image_name}": {
    /**
     * Get Image Dto
     * @description Gets an image's DTO
     */
    get: operations["get_image_dto"];
    /**
     * Delete Image
     * @description Deletes an image
     */
    delete: operations["delete_image"];
    /**
     * Update Image
     * @description Updates an image
     */
    patch: operations["update_image"];
  };
  "/api/v1/images/intermediates": {
    /**
     * Get Intermediates Count
     * @description Gets the count of intermediate images
     */
    get: operations["get_intermediates_count"];
    /**
     * Clear Intermediates
     * @description Clears all intermediates
     */
    delete: operations["clear_intermediates"];
  };
  "/api/v1/images/i/{image_name}/metadata": {
    /**
     * Get Image Metadata
     * @description Gets an image's metadata
     */
    get: operations["get_image_metadata"];
  };
  "/api/v1/images/i/{image_name}/full": {
    /**
     * Get Image Full
     * @description Gets a full-resolution image file
     */
    get: operations["get_image_full"];
    /**
     * Get Image Full
     * @description Gets a full-resolution image file
     */
    head: operations["get_image_full"];
  };
  "/api/v1/images/i/{image_name}/thumbnail": {
    /**
     * Get Image Thumbnail
     * @description Gets a thumbnail image file
     */
    get: operations["get_image_thumbnail"];
  };
  "/api/v1/images/i/{image_name}/urls": {
    /**
     * Get Image Urls
     * @description Gets an image and thumbnail URL
     */
    get: operations["get_image_urls"];
  };
  "/api/v1/images/": {
    /**
     * List Image Dtos
     * @description Gets a list of image DTOs
     */
    get: operations["list_image_dtos"];
  };
  "/api/v1/images/delete": {
    /** Delete Images From List */
    post: operations["delete_images_from_list"];
  };
  "/api/v1/images/star": {
    /** Star Images In List */
    post: operations["star_images_in_list"];
  };
  "/api/v1/images/unstar": {
    /** Unstar Images In List */
    post: operations["unstar_images_in_list"];
  };
  "/api/v1/images/download": {
    /** Download Images From List */
    post: operations["download_images_from_list"];
  };
  "/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/boards/{board_id}/image_names": {
    /**
     * List All Board Image Names
     * @description Gets a list of images for a board
     */
    get: operations["list_all_board_image_names"];
  };
  "/api/v1/board_images/": {
    /**
     * Add Image To Board
     * @description Creates a board_image
     */
    post: operations["add_image_to_board"];
    /**
     * Remove Image From Board
     * @description Removes an image from its board, if it had one
     */
    delete: operations["remove_image_from_board"];
  };
  "/api/v1/board_images/batch": {
    /**
     * Add Images To Board
     * @description Adds a list of images to a board
     */
    post: operations["add_images_to_board"];
  };
  "/api/v1/board_images/batch/delete": {
    /**
     * Remove Images From Board
     * @description Removes a list of images from their board, if they had one
     */
    post: operations["remove_images_from_board"];
  };
  "/api/v1/app/version": {
    /** Get Version */
    get: operations["app_version"];
  };
  "/api/v1/app/config": {
    /** Get Config */
    get: operations["get_config"];
  };
  "/api/v1/app/logging": {
    /**
     * Get Log Level
     * @description Returns the log level
     */
    get: operations["get_log_level"];
    /**
     * Set Log Level
     * @description Sets the log verbosity level
     */
    post: operations["set_log_level"];
  };
  "/api/v1/app/invocation_cache": {
    /**
     * Clear Invocation Cache
     * @description Clears the invocation cache
     */
    delete: operations["clear_invocation_cache"];
  };
  "/api/v1/app/invocation_cache/enable": {
    /**
     * Enable Invocation Cache
     * @description Clears the invocation cache
     */
    put: operations["enable_invocation_cache"];
  };
  "/api/v1/app/invocation_cache/disable": {
    /**
     * Disable Invocation Cache
     * @description Clears the invocation cache
     */
    put: operations["disable_invocation_cache"];
  };
  "/api/v1/app/invocation_cache/status": {
    /**
     * Get Invocation Cache Status
     * @description Clears the invocation cache
     */
    get: operations["get_invocation_cache_status"];
  };
  "/api/v1/queue/{queue_id}/enqueue_batch": {
    /**
     * Enqueue Batch
     * @description Processes a batch and enqueues the output graphs for execution.
     */
    post: operations["enqueue_batch"];
  };
  "/api/v1/queue/{queue_id}/list": {
    /**
     * List Queue Items
     * @description Gets all queue items (without graphs)
     */
    get: operations["list_queue_items"];
  };
  "/api/v1/queue/{queue_id}/processor/resume": {
    /**
     * Resume
     * @description Resumes session processor
     */
    put: operations["resume"];
  };
  "/api/v1/queue/{queue_id}/processor/pause": {
    /**
     * Pause
     * @description Pauses session processor
     */
    put: operations["pause"];
  };
  "/api/v1/queue/{queue_id}/cancel_by_batch_ids": {
    /**
     * Cancel By Batch Ids
     * @description Immediately cancels all queue items from the given batch ids
     */
    put: operations["cancel_by_batch_ids"];
  };
  "/api/v1/queue/{queue_id}/clear": {
    /**
     * Clear
     * @description Clears the queue entirely, immediately canceling the currently-executing session
     */
    put: operations["clear"];
  };
  "/api/v1/queue/{queue_id}/prune": {
    /**
     * Prune
     * @description Prunes all completed or errored queue items
     */
    put: operations["prune"];
  };
  "/api/v1/queue/{queue_id}/current": {
    /**
     * Get Current Queue Item
     * @description Gets the currently execution queue item
     */
    get: operations["get_current_queue_item"];
  };
  "/api/v1/queue/{queue_id}/next": {
    /**
     * Get Next Queue Item
     * @description Gets the next queue item, without executing it
     */
    get: operations["get_next_queue_item"];
  };
  "/api/v1/queue/{queue_id}/status": {
    /**
     * Get Queue Status
     * @description Gets the status of the session queue
     */
    get: operations["get_queue_status"];
  };
  "/api/v1/queue/{queue_id}/b/{batch_id}/status": {
    /**
     * Get Batch Status
     * @description Gets the status of the session queue
     */
    get: operations["get_batch_status"];
  };
  "/api/v1/queue/{queue_id}/i/{item_id}": {
    /**
     * Get Queue Item
     * @description Gets a queue item
     */
    get: operations["get_queue_item"];
  };
  "/api/v1/queue/{queue_id}/i/{item_id}/cancel": {
    /**
     * Cancel Queue Item
     * @description Deletes a queue item
     */
    put: operations["cancel_queue_item"];
  };
  "/api/v1/workflows/i/{workflow_id}": {
    /**
     * Get Workflow
     * @description Gets a workflow
     */
    get: operations["get_workflow"];
  };
};

export type webhooks = Record<string, never>;

export type components = {
  schemas: {
    /** AddImagesToBoardResult */
    AddImagesToBoardResult: {
      /**
       * Board Id
       * @description The id of the board the images were added to
       */
      board_id: string;
      /**
       * Added Image Names
       * @description The image names that were added to the board
       */
      added_image_names: string[];
    };
    /**
     * Add Integers
     * @description Adds two numbers
     */
    AddInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * A
       * @description The first number
       * @default 0
       */
      a?: number;
      /**
       * B
       * @description The second number
       * @default 0
       */
      b?: number;
      /**
       * type
       * @default add
       * @constant
       */
      type: "add";
    };
    /**
     * AppConfig
     * @description App Config Response
     */
    AppConfig: {
      /**
       * Infill Methods
       * @description List of available infill methods
       */
      infill_methods: string[];
      /**
       * Upscaling Methods
       * @description List of upscaling methods
       */
      upscaling_methods: components["schemas"]["Upscaler"][];
      /**
       * Nsfw Methods
       * @description List of NSFW checking methods
       */
      nsfw_methods: string[];
      /**
       * Watermarking Methods
       * @description List of invisible watermark methods
       */
      watermarking_methods: string[];
    };
    /**
     * AppVersion
     * @description App Version Response
     */
    AppVersion: {
      /**
       * Version
       * @description App version
       */
      version: string;
    };
    /** Batch */
    Batch: {
      /**
       * Batch Id
       * @description The ID of the batch
       */
      batch_id?: string;
      /**
       * Data
       * @description The batch data collection.
       */
      data?: components["schemas"]["BatchDatum"][][] | null;
      /** @description The graph to initialize the session with */
      graph: components["schemas"]["Graph"];
      /**
       * Runs
       * @description Int stating how many times to iterate through all possible batch indices
       * @default 1
       */
      runs: number;
    };
    /** BatchDatum */
    BatchDatum: {
      /**
       * Node Path
       * @description The node into which this batch data collection will be substituted.
       */
      node_path: string;
      /**
       * Field Name
       * @description The field into which this batch data collection will be substituted.
       */
      field_name: string;
      /**
       * Items
       * @description The list of items to substitute into the node/field.
       */
      items?: (string | number)[];
    };
    /** BatchStatus */
    BatchStatus: {
      /**
       * Queue Id
       * @description The ID of the queue
       */
      queue_id: string;
      /**
       * Batch Id
       * @description The ID of the batch
       */
      batch_id: string;
      /**
       * Pending
       * @description Number of queue items with status 'pending'
       */
      pending: number;
      /**
       * In Progress
       * @description Number of queue items with status 'in_progress'
       */
      in_progress: number;
      /**
       * Completed
       * @description Number of queue items with status 'complete'
       */
      completed: number;
      /**
       * Failed
       * @description Number of queue items with status 'error'
       */
      failed: number;
      /**
       * Canceled
       * @description Number of queue items with status 'canceled'
       */
      canceled: number;
      /**
       * Total
       * @description Total number of queue items
       */
      total: number;
    };
    /**
     * Blank Image
     * @description Creates a blank image and forwards it to the pipeline
     */
    BlankImageInvocation: {
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Width
       * @description The width of the image
       * @default 512
       */
      width?: number;
      /**
       * Height
       * @description The height of the image
       * @default 512
       */
      height?: number;
      /**
       * Mode
       * @description The mode of the image
       * @default RGB
       * @enum {string}
       */
      mode?: "RGB" | "RGBA";
      /**
       * @description The color of the image
       * @default {
       *   "r": 0,
       *   "g": 0,
       *   "b": 0,
       *   "a": 255
       * }
       */
      color?: components["schemas"]["ColorField"];
      /**
       * type
       * @default blank_image
       * @constant
       */
      type: "blank_image";
    };
    /**
     * Blend Latents
     * @description Blend two latents using a given alpha. Latents must have same size.
     */
    BlendLatentsInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description Latents tensor */
      latents_a?: components["schemas"]["LatentsField"];
      /** @description Latents tensor */
      latents_b?: components["schemas"]["LatentsField"];
      /**
       * Alpha
       * @description Blending factor. 0.0 = use input A only, 1.0 = use input B only, 0.5 = 50% mix of input A and input B.
       * @default 0.5
       */
      alpha?: number;
      /**
       * type
       * @default lblend
       * @constant
       */
      type: "lblend";
    };
    /** BoardChanges */
    BoardChanges: {
      /**
       * Board Name
       * @description The board's new name.
       */
      board_name?: string | null;
      /**
       * Cover Image Name
       * @description The name of the board's new cover image.
       */
      cover_image_name?: string | null;
    };
    /**
     * 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 | null;
      /**
       * Cover Image Name
       * @description The name of the board's cover image.
       */
      cover_image_name: string | null;
      /**
       * Image Count
       * @description The number of images in the board.
       */
      image_count: number;
    };
    /**
     * BoardField
     * @description A board primitive field
     */
    BoardField: {
      /**
       * Board Id
       * @description The id of the board
       */
      board_id: string;
    };
    /** Body_add_image_to_board */
    Body_add_image_to_board: {
      /**
       * 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_add_images_to_board */
    Body_add_images_to_board: {
      /**
       * Board Id
       * @description The id of the board to add to
       */
      board_id: string;
      /**
       * Image Names
       * @description The names of the images to add
       */
      image_names: string[];
    };
    /** Body_cancel_by_batch_ids */
    Body_cancel_by_batch_ids: {
      /**
       * Batch Ids
       * @description The list of batch_ids to cancel all queue items for
       */
      batch_ids: string[];
    };
    /** Body_delete_images_from_list */
    Body_delete_images_from_list: {
      /**
       * Image Names
       * @description The list of names of images to delete
       */
      image_names: string[];
    };
    /** Body_download_images_from_list */
    Body_download_images_from_list: {
      /**
       * Image Names
       * @description The list of names of images to download
       */
      image_names: string[];
      /**
       * Board Id
       * @description The board from which image should be downloaded from
       */
      board_id?: string | null;
    };
    /** Body_enqueue_batch */
    Body_enqueue_batch: {
      /** @description Batch to process */
      batch: components["schemas"]["Batch"];
      /**
       * Prepend
       * @description Whether or not to prepend this batch in the queue
       * @default false
       */
      prepend?: boolean;
    };
    /** Body_import_model */
    Body_import_model: {
      /**
       * Location
       * @description A model path, repo_id or URL to import
       */
      location: string;
      /**
       * Prediction Type
       * @description Prediction type for SDv2 checkpoints and rare SDv1 checkpoints
       */
      prediction_type?: ("v_prediction" | "epsilon" | "sample") | null;
    };
    /** Body_merge_models */
    Body_merge_models: {
      /** @description Model configuration */
      body: components["schemas"]["MergeModelsBody"];
    };
    /** Body_parse_dynamicprompts */
    Body_parse_dynamicprompts: {
      /**
       * Prompt
       * @description The prompt to parse with dynamicprompts
       */
      prompt: string;
      /**
       * Max Prompts
       * @description The max number of prompts to generate
       * @default 1000
       */
      max_prompts?: number;
      /**
       * Combinatorial
       * @description Whether to use the combinatorial generator
       * @default true
       */
      combinatorial?: boolean;
    };
    /** Body_remove_image_from_board */
    Body_remove_image_from_board: {
      /**
       * Image Name
       * @description The name of the image to remove
       */
      image_name: string;
    };
    /** Body_remove_images_from_board */
    Body_remove_images_from_board: {
      /**
       * Image Names
       * @description The names of the images to remove
       */
      image_names: string[];
    };
    /** Body_star_images_in_list */
    Body_star_images_in_list: {
      /**
       * Image Names
       * @description The list of names of images to star
       */
      image_names: string[];
    };
    /** Body_unstar_images_in_list */
    Body_unstar_images_in_list: {
      /**
       * Image Names
       * @description The list of names of images to unstar
       */
      image_names: string[];
    };
    /** Body_upload_image */
    Body_upload_image: {
      /**
       * File
       * Format: binary
       */
      file: Blob;
    };
    /**
     * Boolean Collection Primitive
     * @description A collection of boolean primitive values
     */
    BooleanCollectionInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Collection
       * @description The collection of boolean values
       * @default []
       */
      collection?: boolean[];
      /**
       * type
       * @default boolean_collection
       * @constant
       */
      type: "boolean_collection";
    };
    /**
     * BooleanCollectionOutput
     * @description Base class for nodes that output a collection of booleans
     */
    BooleanCollectionOutput: {
      /**
       * Collection
       * @description The output boolean collection
       */
      collection: boolean[];
      /**
       * type
       * @default boolean_collection_output
       * @constant
       */
      type: "boolean_collection_output";
    };
    /**
     * Boolean Primitive
     * @description A boolean primitive value
     */
    BooleanInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Value
       * @description The boolean value
       * @default false
       */
      value?: boolean;
      /**
       * type
       * @default boolean
       * @constant
       */
      type: "boolean";
    };
    /**
     * BooleanOutput
     * @description Base class for nodes that output a single boolean
     */
    BooleanOutput: {
      /**
       * Value
       * @description The output boolean
       */
      value: boolean;
      /**
       * type
       * @default boolean_output
       * @constant
       */
      type: "boolean_output";
    };
    /**
     * CLIPOutput
     * @description Base class for invocations that output a CLIP field
     */
    CLIPOutput: {
      /**
       * CLIP
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       */
      clip: components["schemas"]["ClipField"];
      /**
       * type
       * @default clip_output
       * @constant
       */
      type: "clip_output";
    };
    /**
     * CLIPVisionDiffusersConfig
     * @description Model config for ClipVision.
     */
    CLIPVisionDiffusersConfig: {
      /** Path */
      path: string;
      /** Name */
      name: string;
      base: components["schemas"]["invokeai__backend__model_manager__config__BaseModelType"];
      /**
       * Type
       * @default clip_vision
       * @constant
       */
      type?: "clip_vision";
      /**
       * Format
       * @constant
       */
      format: "diffusers";
      /**
       * Key
       * @description unique key for model
       * @default <NOKEY>
       */
      key?: string;
      /**
       * Original Hash
       * @description original fasthash of model contents
       */
      original_hash?: string | null;
      /**
       * Current Hash
       * @description current fasthash of model contents
       */
      current_hash?: string | null;
      /** Description */
      description?: string | null;
      /**
       * Source
       * @description Model download source (URL or repo_id)
       */
      source?: string | null;
    };
    /** CLIPVisionModelDiffusersConfig */
    CLIPVisionModelDiffusersConfig: {
      /** Model Name */
      model_name: string;
      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
      /**
       * Model Type
       * @default clip_vision
       * @constant
       */
      model_type: "clip_vision";
      /** Path */
      path: string;
      /** Description */
      description?: string | null;
      /**
       * Model Format
       * @constant
       */
      model_format: "diffusers";
      error?: components["schemas"]["ModelError"] | null;
    };
    /** CLIPVisionModelField */
    CLIPVisionModelField: {
      /**
       * Model Name
       * @description Name of the CLIP Vision image encoder model
       */
      model_name: string;
      /** @description Base model (usually 'Any') */
      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
    };
    /**
     * CV2 Infill
     * @description Infills transparent areas of an image using OpenCV Inpainting
     */
    CV2InfillInvocation: {
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to infill */
      image?: components["schemas"]["ImageField"];
      /**
       * type
       * @default infill_cv2
       * @constant
       */
      type: "infill_cv2";
    };
    /**
     * CancelByBatchIDsResult
     * @description Result of canceling by list of batch ids
     */
    CancelByBatchIDsResult: {
      /**
       * Canceled
       * @description Number of queue items canceled
       */
      canceled: number;
    };
    /**
     * Canny Processor
     * @description Canny edge detection for ControlNet
     */
    CannyImageProcessorInvocation: {
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @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;
      /**
       * type
       * @default canny_image_processor
       * @constant
       */
      type: "canny_image_processor";
    };
    /**
     * ClearResult
     * @description Result of clearing the session queue
     */
    ClearResult: {
      /**
       * Deleted
       * @description Number of queue items deleted
       */
      deleted: number;
    };
    /** ClipField */
    ClipField: {
      /** @description Info to load tokenizer submodel */
      tokenizer: components["schemas"]["ModelInfo"];
      /** @description Info to load text_encoder submodel */
      text_encoder: components["schemas"]["ModelInfo"];
      /**
       * Skipped Layers
       * @description Number of skipped layers in text_encoder
       */
      skipped_layers: number;
      /**
       * Loras
       * @description Loras to apply on model loading
       */
      loras: components["schemas"]["LoraInfo"][];
    };
    /**
     * CLIP Skip
     * @description Skip layers in clip text_encoder model.
     */
    ClipSkipInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * CLIP
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       */
      clip?: components["schemas"]["ClipField"];
      /**
       * Skipped Layers
       * @description Number of layers to skip in text encoder
       * @default 0
       */
      skipped_layers?: number;
      /**
       * type
       * @default clip_skip
       * @constant
       */
      type: "clip_skip";
    };
    /**
     * ClipSkipInvocationOutput
     * @description Clip skip node output
     */
    ClipSkipInvocationOutput: {
      /**
       * CLIP
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       */
      clip?: components["schemas"]["ClipField"] | null;
      /**
       * type
       * @default clip_skip_output
       * @constant
       */
      type: "clip_skip_output";
    };
    /**
     * CollectInvocation
     * @description Collects values into a collection
     */
    CollectInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Collection 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
       * @default []
       */
      collection?: unknown[];
      /**
       * type
       * @default collect
       * @constant
       */
      type: "collect";
    };
    /** CollectInvocationOutput */
    CollectInvocationOutput: {
      /**
       * Collection
       * @description The collection of input items
       */
      collection: unknown[];
      /**
       * type
       * @default collect_output
       * @constant
       */
      type: "collect_output";
    };
    /**
     * ColorCollectionOutput
     * @description Base class for nodes that output a collection of colors
     */
    ColorCollectionOutput: {
      /**
       * Collection
       * @description The output colors
       */
      collection: components["schemas"]["ColorField"][];
      /**
       * type
       * @default color_collection_output
       * @constant
       */
      type: "color_collection_output";
    };
    /**
     * Color Correct
     * @description Shifts the colors of a target image to match the reference image, optionally
     * using a mask to only color-correct certain regions of the target image.
     */
    ColorCorrectInvocation: {
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to color-correct */
      image?: components["schemas"]["ImageField"];
      /** @description Reference image for color-correction */
      reference?: components["schemas"]["ImageField"];
      /** @description Mask to use when applying color-correction */
      mask?: components["schemas"]["ImageField"] | null;
      /**
       * Mask Blur Radius
       * @description Mask blur radius
       * @default 8
       */
      mask_blur_radius?: number;
      /**
       * type
       * @default color_correct
       * @constant
       */
      type: "color_correct";
    };
    /**
     * ColorField
     * @description A color primitive field
     */
    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;
    };
    /**
     * Color Primitive
     * @description A color primitive value
     */
    ColorInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * @description The color value
       * @default {
       *   "r": 0,
       *   "g": 0,
       *   "b": 0,
       *   "a": 255
       * }
       */
      color?: components["schemas"]["ColorField"];
      /**
       * type
       * @default color
       * @constant
       */
      type: "color";
    };
    /**
     * Color Map Processor
     * @description Generates a color map from the provided image
     */
    ColorMapImageProcessorInvocation: {
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to process */
      image?: components["schemas"]["ImageField"];
      /**
       * Color Map Tile Size
       * @description Tile size
       * @default 64
       */
      color_map_tile_size?: number;
      /**
       * type
       * @default color_map_image_processor
       * @constant
       */
      type: "color_map_image_processor";
    };
    /**
     * ColorOutput
     * @description Base class for nodes that output a single color
     */
    ColorOutput: {
      /** @description The output color */
      color: components["schemas"]["ColorField"];
      /**
       * type
       * @default color_output
       * @constant
       */
      type: "color_output";
    };
    /**
     * Prompt
     * @description Parse prompt using compel package to conditioning.
     */
    CompelInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Prompt
       * @description Prompt to be parsed by Compel to create a conditioning tensor
       * @default
       */
      prompt?: string;
      /**
       * CLIP
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       */
      clip?: components["schemas"]["ClipField"];
      /**
       * type
       * @default compel
       * @constant
       */
      type: "compel";
    };
    /**
     * Conditioning Collection Primitive
     * @description A collection of conditioning tensor primitive values
     */
    ConditioningCollectionInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Collection
       * @description The collection of conditioning tensors
       * @default []
       */
      collection?: components["schemas"]["ConditioningField"][];
      /**
       * type
       * @default conditioning_collection
       * @constant
       */
      type: "conditioning_collection";
    };
    /**
     * ConditioningCollectionOutput
     * @description Base class for nodes that output a collection of conditioning tensors
     */
    ConditioningCollectionOutput: {
      /**
       * Collection
       * @description The output conditioning tensors
       */
      collection: components["schemas"]["ConditioningField"][];
      /**
       * type
       * @default conditioning_collection_output
       * @constant
       */
      type: "conditioning_collection_output";
    };
    /**
     * ConditioningField
     * @description A conditioning tensor primitive value
     */
    ConditioningField: {
      /**
       * Conditioning Name
       * @description The name of conditioning tensor
       */
      conditioning_name: string;
    };
    /**
     * Conditioning Primitive
     * @description A conditioning tensor primitive value
     */
    ConditioningInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description Conditioning tensor */
      conditioning?: components["schemas"]["ConditioningField"];
      /**
       * type
       * @default conditioning
       * @constant
       */
      type: "conditioning";
    };
    /**
     * ConditioningOutput
     * @description Base class for nodes that output a single conditioning tensor
     */
    ConditioningOutput: {
      /** @description Conditioning tensor */
      conditioning: components["schemas"]["ConditioningField"];
      /**
       * type
       * @default conditioning_output
       * @constant
       */
      type: "conditioning_output";
    };
    /**
     * Content Shuffle Processor
     * @description Applies content shuffle processing to image
     */
    ContentShuffleImageProcessorInvocation: {
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to process */
      image?: components["schemas"]["ImageField"];
      /**
       * Detect Resolution
       * @description Pixel resolution for detection
       * @default 512
       */
      detect_resolution?: number;
      /**
       * Image Resolution
       * @description Pixel resolution for 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;
      /**
       * type
       * @default content_shuffle_image_processor
       * @constant
       */
      type: "content_shuffle_image_processor";
    };
    /** ControlField */
    ControlField: {
      /** @description The control image */
      image: components["schemas"]["ImageField"];
      /** @description The ControlNet model to use */
      control_model: components["schemas"]["ControlNetModelField"];
      /**
       * 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;
      /**
       * Control Mode
       * @description The control mode to use
       * @default balanced
       * @enum {string}
       */
      control_mode?: "balanced" | "more_prompt" | "more_control" | "unbalanced";
      /**
       * Resize Mode
       * @description The resize mode to use
       * @default just_resize
       * @enum {string}
       */
      resize_mode?: "just_resize" | "crop_resize" | "fill_resize" | "just_resize_simple";
    };
    /**
     * ControlNetCheckpointConfig
     * @description Model config for ControlNet models (diffusers version).
     */
    ControlNetCheckpointConfig: {
      /** Path */
      path: string;
      /** Name */
      name: string;
      base: components["schemas"]["invokeai__backend__model_manager__config__BaseModelType"];
      /**
       * Type
       * @default controlnet
       * @constant
       */
      type?: "controlnet";
      /**
       * Format
       * @default checkpoint
       * @constant
       */
      format?: "checkpoint";
      /**
       * Key
       * @description unique key for model
       * @default <NOKEY>
       */
      key?: string;
      /**
       * Original Hash
       * @description original fasthash of model contents
       */
      original_hash?: string | null;
      /**
       * Current Hash
       * @description current fasthash of model contents
       */
      current_hash?: string | null;
      /** Description */
      description?: string | null;
      /**
       * Source
       * @description Model download source (URL or repo_id)
       */
      source?: string | null;
      /**
       * Config
       * @description path to the checkpoint model config file
       */
      config: string;
    };
    /**
     * ControlNetDiffusersConfig
     * @description Model config for ControlNet models (diffusers version).
     */
    ControlNetDiffusersConfig: {
      /** Path */
      path: string;
      /** Name */
      name: string;
      base: components["schemas"]["invokeai__backend__model_manager__config__BaseModelType"];
      /**
       * Type
       * @default controlnet
       * @constant
       */
      type?: "controlnet";
      /**
       * Format
       * @default diffusers
       * @constant
       */
      format?: "diffusers";
      /**
       * Key
       * @description unique key for model
       * @default <NOKEY>
       */
      key?: string;
      /**
       * Original Hash
       * @description original fasthash of model contents
       */
      original_hash?: string | null;
      /**
       * Current Hash
       * @description current fasthash of model contents
       */
      current_hash?: string | null;
      /** Description */
      description?: string | null;
      /**
       * Source
       * @description Model download source (URL or repo_id)
       */
      source?: string | null;
    };
    /**
     * ControlNet
     * @description Collects ControlNet info to pass to other nodes
     */
    ControlNetInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The control image */
      image?: components["schemas"]["ImageField"];
      /** @description ControlNet model to load */
      control_model: components["schemas"]["ControlNetModelField"];
      /**
       * 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;
      /**
       * Control Mode
       * @description The control mode used
       * @default balanced
       * @enum {string}
       */
      control_mode?: "balanced" | "more_prompt" | "more_control" | "unbalanced";
      /**
       * Resize Mode
       * @description The resize mode used
       * @default just_resize
       * @enum {string}
       */
      resize_mode?: "just_resize" | "crop_resize" | "fill_resize" | "just_resize_simple";
      /**
       * type
       * @default controlnet
       * @constant
       */
      type: "controlnet";
    };
    /** ControlNetModelCheckpointConfig */
    ControlNetModelCheckpointConfig: {
      /** Model Name */
      model_name: string;
      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
      /**
       * Model Type
       * @default controlnet
       * @constant
       */
      model_type: "controlnet";
      /** Path */
      path: string;
      /** Description */
      description?: string | null;
      /**
       * Model Format
       * @constant
       */
      model_format: "checkpoint";
      error?: components["schemas"]["ModelError"] | null;
      /** Config */
      config: string;
    };
    /** ControlNetModelDiffusersConfig */
    ControlNetModelDiffusersConfig: {
      /** Model Name */
      model_name: string;
      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
      /**
       * Model Type
       * @default controlnet
       * @constant
       */
      model_type: "controlnet";
      /** Path */
      path: string;
      /** Description */
      description?: string | null;
      /**
       * Model Format
       * @constant
       */
      model_format: "diffusers";
      error?: components["schemas"]["ModelError"] | null;
    };
    /**
     * ControlNetModelField
     * @description ControlNet model field
     */
    ControlNetModelField: {
      /**
       * Model Name
       * @description Name of the ControlNet model
       */
      model_name: string;
      /** @description Base model */
      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
    };
    /**
     * ControlOutput
     * @description node output for ControlNet info
     */
    ControlOutput: {
      /** @description ControlNet(s) to apply */
      control: components["schemas"]["ControlField"];
      /**
       * type
       * @default control_output
       * @constant
       */
      type: "control_output";
    };
    /**
     * Core Metadata
     * @description Collects core generation metadata into a MetadataField
     */
    CoreMetadataInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Generation Mode
       * @description The generation mode that output this image
       */
      generation_mode?: ("txt2img" | "img2img" | "inpaint" | "outpaint" | "sdxl_txt2img" | "sdxl_img2img" | "sdxl_inpaint" | "sdxl_outpaint") | null;
      /**
       * Positive Prompt
       * @description The positive prompt parameter
       */
      positive_prompt?: string | null;
      /**
       * Negative Prompt
       * @description The negative prompt parameter
       */
      negative_prompt?: string | null;
      /**
       * Width
       * @description The width parameter
       */
      width?: number | null;
      /**
       * Height
       * @description The height parameter
       */
      height?: number | null;
      /**
       * Seed
       * @description The seed used for noise generation
       */
      seed?: number | null;
      /**
       * Rand Device
       * @description The device used for random number generation
       */
      rand_device?: string | null;
      /**
       * Cfg Scale
       * @description The classifier-free guidance scale parameter
       */
      cfg_scale?: number | null;
      /**
       * Cfg Rescale Multiplier
       * @description Rescale multiplier for CFG guidance, used for models trained with zero-terminal SNR
       */
      cfg_rescale_multiplier?: number | null;
      /**
       * Steps
       * @description The number of steps used for inference
       */
      steps?: number | null;
      /**
       * Scheduler
       * @description The scheduler used for inference
       */
      scheduler?: string | null;
      /**
       * Seamless X
       * @description Whether seamless tiling was used on the X axis
       */
      seamless_x?: boolean | null;
      /**
       * Seamless Y
       * @description Whether seamless tiling was used on the Y axis
       */
      seamless_y?: boolean | null;
      /**
       * Clip Skip
       * @description The number of skipped CLIP layers
       */
      clip_skip?: number | null;
      /** @description The main model used for inference */
      model?: components["schemas"]["MainModelField"] | null;
      /**
       * Controlnets
       * @description The ControlNets used for inference
       */
      controlnets?: components["schemas"]["ControlField"][] | null;
      /**
       * Ipadapters
       * @description The IP Adapters used for inference
       */
      ipAdapters?: components["schemas"]["IPAdapterMetadataField"][] | null;
      /**
       * T2Iadapters
       * @description The IP Adapters used for inference
       */
      t2iAdapters?: components["schemas"]["T2IAdapterField"][] | null;
      /**
       * Loras
       * @description The LoRAs used for inference
       */
      loras?: components["schemas"]["LoRAMetadataField"][] | null;
      /**
       * Strength
       * @description The strength used for latents-to-latents
       */
      strength?: number | null;
      /**
       * Init Image
       * @description The name of the initial image
       */
      init_image?: string | null;
      /** @description The VAE used for decoding, if the main model's default was not used */
      vae?: components["schemas"]["VAEModelField"] | null;
      /**
       * Hrf Enabled
       * @description Whether or not high resolution fix was enabled.
       */
      hrf_enabled?: boolean | null;
      /**
       * Hrf Method
       * @description The high resolution fix upscale method.
       */
      hrf_method?: string | null;
      /**
       * Hrf Strength
       * @description The high resolution fix img2img strength used in the upscale pass.
       */
      hrf_strength?: number | null;
      /**
       * Positive Style Prompt
       * @description The positive style prompt parameter
       */
      positive_style_prompt?: string | null;
      /**
       * Negative Style Prompt
       * @description The negative style prompt parameter
       */
      negative_style_prompt?: string | null;
      /** @description The SDXL Refiner model used */
      refiner_model?: components["schemas"]["MainModelField"] | null;
      /**
       * Refiner Cfg Scale
       * @description The classifier-free guidance scale parameter used for the refiner
       */
      refiner_cfg_scale?: number | null;
      /**
       * Refiner Steps
       * @description The number of steps used for the refiner
       */
      refiner_steps?: number | null;
      /**
       * Refiner Scheduler
       * @description The scheduler used for the refiner
       */
      refiner_scheduler?: string | null;
      /**
       * Refiner Positive Aesthetic Score
       * @description The aesthetic score used for the refiner
       */
      refiner_positive_aesthetic_score?: number | null;
      /**
       * Refiner Negative Aesthetic Score
       * @description The aesthetic score used for the refiner
       */
      refiner_negative_aesthetic_score?: number | null;
      /**
       * Refiner Start
       * @description The start value used for refiner denoising
       */
      refiner_start?: number | null;
      /**
       * type
       * @default core_metadata
       * @constant
       */
      type: "core_metadata";
      [key: string]: unknown;
    };
    /**
     * Create Denoise Mask
     * @description Creates mask for denoising model run.
     */
    CreateDenoiseMaskInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description VAE */
      vae?: components["schemas"]["VaeField"];
      /** @description Image which will be masked */
      image?: components["schemas"]["ImageField"] | null;
      /** @description The mask to use when pasting */
      mask?: components["schemas"]["ImageField"];
      /**
       * Tiled
       * @description Processing using overlapping tiles (reduce memory consumption)
       * @default false
       */
      tiled?: boolean;
      /**
       * Fp32
       * @description Whether or not to use full float32 precision
       * @default false
       */
      fp32?: boolean;
      /**
       * type
       * @default create_denoise_mask
       * @constant
       */
      type: "create_denoise_mask";
    };
    /** CursorPaginatedResults[SessionQueueItemDTO] */
    CursorPaginatedResults_SessionQueueItemDTO_: {
      /**
       * Limit
       * @description Limit of items to get
       */
      limit: number;
      /**
       * Has More
       * @description Whether there are more items available
       */
      has_more: boolean;
      /**
       * Items
       * @description Items
       */
      items: components["schemas"]["SessionQueueItemDTO"][];
    };
    /**
     * OpenCV Inpaint
     * @description Simple inpaint using opencv.
     */
    CvInpaintInvocation: {
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to inpaint */
      image?: components["schemas"]["ImageField"];
      /** @description The mask to use when inpainting */
      mask?: components["schemas"]["ImageField"];
      /**
       * type
       * @default cv_inpaint
       * @constant
       */
      type: "cv_inpaint";
    };
    /** DeleteBoardResult */
    DeleteBoardResult: {
      /**
       * Board Id
       * @description The id of the board that was deleted.
       */
      board_id: string;
      /**
       * Deleted Board Images
       * @description The image names of the board-images relationships that were deleted.
       */
      deleted_board_images: string[];
      /**
       * Deleted Images
       * @description The names of the images that were deleted.
       */
      deleted_images: string[];
    };
    /** DeleteImagesFromListResult */
    DeleteImagesFromListResult: {
      /** Deleted Images */
      deleted_images: string[];
    };
    /**
     * Denoise Latents
     * @description Denoises noisy latents to decodable images
     */
    DenoiseLatentsInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description Positive conditioning tensor */
      positive_conditioning?: components["schemas"]["ConditioningField"];
      /** @description Negative conditioning tensor */
      negative_conditioning?: components["schemas"]["ConditioningField"];
      /** @description Noise tensor */
      noise?: components["schemas"]["LatentsField"] | null;
      /**
       * Steps
       * @description Number of steps to run
       * @default 10
       */
      steps?: number;
      /**
       * CFG Scale
       * @description Classifier-Free Guidance scale
       * @default 7.5
       */
      cfg_scale?: number | number[];
      /**
       * Denoising Start
       * @description When to start denoising, expressed a percentage of total steps
       * @default 0
       */
      denoising_start?: number;
      /**
       * Denoising End
       * @description When to stop denoising, expressed a percentage of total steps
       * @default 1
       */
      denoising_end?: number;
      /**
       * Scheduler
       * @description Scheduler to use during inference
       * @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" | "lcm";
      /**
       * UNet
       * @description UNet (scheduler, LoRAs)
       */
      unet?: components["schemas"]["UNetField"];
      /** Control */
      control?: components["schemas"]["ControlField"] | components["schemas"]["ControlField"][] | null;
      /**
       * IP-Adapter
       * @description IP-Adapter to apply
       */
      ip_adapter?: components["schemas"]["IPAdapterField"] | components["schemas"]["IPAdapterField"][] | null;
      /**
       * T2I-Adapter
       * @description T2I-Adapter(s) to apply
       */
      t2i_adapter?: components["schemas"]["T2IAdapterField"] | components["schemas"]["T2IAdapterField"][] | null;
      /**
       * Cfg Rescale Multiplier
       * @description Rescale multiplier for CFG guidance, used for models trained with zero-terminal SNR
       * @default 0
       */
      cfg_rescale_multiplier?: number;
      /** @description Latents tensor */
      latents?: components["schemas"]["LatentsField"] | null;
      /** @description The mask to use for the operation */
      denoise_mask?: components["schemas"]["DenoiseMaskField"] | null;
      /**
       * type
       * @default denoise_latents
       * @constant
       */
      type: "denoise_latents";
    };
    /**
     * DenoiseMaskField
     * @description An inpaint mask field
     */
    DenoiseMaskField: {
      /**
       * Mask Name
       * @description The name of the mask image
       */
      mask_name: string;
      /**
       * Masked Latents Name
       * @description The name of the masked image latents
       */
      masked_latents_name?: string | null;
    };
    /**
     * DenoiseMaskOutput
     * @description Base class for nodes that output a single image
     */
    DenoiseMaskOutput: {
      /** @description Mask for denoise model run */
      denoise_mask: components["schemas"]["DenoiseMaskField"];
      /**
       * type
       * @default denoise_mask_output
       * @constant
       */
      type: "denoise_mask_output";
    };
    /**
     * Divide Integers
     * @description Divides two numbers
     */
    DivideInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * A
       * @description The first number
       * @default 0
       */
      a?: number;
      /**
       * B
       * @description The second number
       * @default 0
       */
      b?: number;
      /**
       * type
       * @default div
       * @constant
       */
      type: "div";
    };
    /**
     * Dynamic Prompt
     * @description Parses a prompt using adieyal/dynamicprompts' random or combinatorial generator
     */
    DynamicPromptInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default false
       */
      use_cache?: boolean;
      /**
       * 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;
      /**
       * type
       * @default dynamic_prompt
       * @constant
       */
      type: "dynamic_prompt";
    };
    /** DynamicPromptsResponse */
    DynamicPromptsResponse: {
      /** Prompts */
      prompts: string[];
      /** Error */
      error?: string | null;
    };
    /**
     * Upscale (RealESRGAN)
     * @description Upscales an image using RealESRGAN.
     */
    ESRGANInvocation: {
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The input image */
      image?: components["schemas"]["ImageField"];
      /**
       * Model Name
       * @description The Real-ESRGAN model to use
       * @default RealESRGAN_x4plus.pth
       * @enum {string}
       */
      model_name?: "RealESRGAN_x4plus.pth" | "RealESRGAN_x4plus_anime_6B.pth" | "ESRGAN_SRx4_DF2KOST_official-ff704c30.pth" | "RealESRGAN_x2plus.pth";
      /**
       * Tile Size
       * @description Tile size for tiled ESRGAN upscaling (0=tiling disabled)
       * @default 400
       */
      tile_size?: number;
      /**
       * type
       * @default esrgan
       * @constant
       */
      type: "esrgan";
    };
    /** Edge */
    Edge: {
      /** @description The connection for the edge's from node and field */
      source: components["schemas"]["EdgeConnection"];
      /** @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;
    };
    /** EnqueueBatchResult */
    EnqueueBatchResult: {
      /**
       * Queue Id
       * @description The ID of the queue
       */
      queue_id: string;
      /**
       * Enqueued
       * @description The total number of queue items enqueued
       */
      enqueued: number;
      /**
       * Requested
       * @description The total number of queue items requested to be enqueued
       */
      requested: number;
      /** @description The batch that was enqueued */
      batch: components["schemas"]["Batch"];
      /**
       * Priority
       * @description The priority of the enqueued batch
       */
      priority: number;
    };
    /**
     * FaceIdentifier
     * @description Outputs an image with detected face IDs printed on each face. For use with other FaceTools.
     */
    FaceIdentifierInvocation: {
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description Image to face detect */
      image?: components["schemas"]["ImageField"];
      /**
       * Minimum Confidence
       * @description Minimum confidence for face detection (lower if detection is failing)
       * @default 0.5
       */
      minimum_confidence?: number;
      /**
       * Chunk
       * @description Whether to bypass full image face detection and default to image chunking. Chunking will occur if no faces are found in the full image.
       * @default false
       */
      chunk?: boolean;
      /**
       * type
       * @default face_identifier
       * @constant
       */
      type: "face_identifier";
    };
    /**
     * FaceMask
     * @description Face mask creation using mediapipe face detection
     */
    FaceMaskInvocation: {
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description Image to face detect */
      image?: components["schemas"]["ImageField"];
      /**
       * Face Ids
       * @description Comma-separated list of face ids to mask eg '0,2,7'. Numbered from 0. Leave empty to mask all. Find face IDs with FaceIdentifier node.
       * @default
       */
      face_ids?: string;
      /**
       * Minimum Confidence
       * @description Minimum confidence for face detection (lower if detection is failing)
       * @default 0.5
       */
      minimum_confidence?: number;
      /**
       * X Offset
       * @description Offset for the X-axis of the face mask
       * @default 0
       */
      x_offset?: number;
      /**
       * Y Offset
       * @description Offset for the Y-axis of the face mask
       * @default 0
       */
      y_offset?: number;
      /**
       * Chunk
       * @description Whether to bypass full image face detection and default to image chunking. Chunking will occur if no faces are found in the full image.
       * @default false
       */
      chunk?: boolean;
      /**
       * Invert Mask
       * @description Toggle to invert the mask
       * @default false
       */
      invert_mask?: boolean;
      /**
       * type
       * @default face_mask_detection
       * @constant
       */
      type: "face_mask_detection";
    };
    /**
     * FaceMaskOutput
     * @description Base class for FaceMask output
     */
    FaceMaskOutput: {
      /** @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;
      /**
       * type
       * @default face_mask_output
       * @constant
       */
      type: "face_mask_output";
      /** @description The output mask */
      mask: components["schemas"]["ImageField"];
    };
    /**
     * FaceOff
     * @description Bound, extract, and mask a face from an image using MediaPipe detection
     */
    FaceOffInvocation: {
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description Image for face detection */
      image?: components["schemas"]["ImageField"];
      /**
       * Face Id
       * @description The face ID to process, numbered from 0. Multiple faces not supported. Find a face's ID with FaceIdentifier node.
       * @default 0
       */
      face_id?: number;
      /**
       * Minimum Confidence
       * @description Minimum confidence for face detection (lower if detection is failing)
       * @default 0.5
       */
      minimum_confidence?: number;
      /**
       * X Offset
       * @description X-axis offset of the mask
       * @default 0
       */
      x_offset?: number;
      /**
       * Y Offset
       * @description Y-axis offset of the mask
       * @default 0
       */
      y_offset?: number;
      /**
       * Padding
       * @description All-axis padding around the mask in pixels
       * @default 0
       */
      padding?: number;
      /**
       * Chunk
       * @description Whether to bypass full image face detection and default to image chunking. Chunking will occur if no faces are found in the full image.
       * @default false
       */
      chunk?: boolean;
      /**
       * type
       * @default face_off
       * @constant
       */
      type: "face_off";
    };
    /**
     * FaceOffOutput
     * @description Base class for FaceOff Output
     */
    FaceOffOutput: {
      /** @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;
      /**
       * type
       * @default face_off_output
       * @constant
       */
      type: "face_off_output";
      /** @description The output mask */
      mask: components["schemas"]["ImageField"];
      /**
       * X
       * @description The x coordinate of the bounding box's left side
       */
      x: number;
      /**
       * Y
       * @description The y coordinate of the bounding box's top side
       */
      y: number;
    };
    /**
     * Float Collection Primitive
     * @description A collection of float primitive values
     */
    FloatCollectionInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Collection
       * @description The collection of float values
       * @default []
       */
      collection?: number[];
      /**
       * type
       * @default float_collection
       * @constant
       */
      type: "float_collection";
    };
    /**
     * FloatCollectionOutput
     * @description Base class for nodes that output a collection of floats
     */
    FloatCollectionOutput: {
      /**
       * Collection
       * @description The float collection
       */
      collection: number[];
      /**
       * type
       * @default float_collection_output
       * @constant
       */
      type: "float_collection_output";
    };
    /**
     * Float Primitive
     * @description A float primitive value
     */
    FloatInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Value
       * @description The float value
       * @default 0
       */
      value?: number;
      /**
       * type
       * @default float
       * @constant
       */
      type: "float";
    };
    /**
     * Float Range
     * @description Creates a range
     */
    FloatLinearRangeInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * 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;
      /**
       * type
       * @default float_range
       * @constant
       */
      type: "float_range";
    };
    /**
     * Float Math
     * @description Performs floating point math.
     */
    FloatMathInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Operation
       * @description The operation to perform
       * @default ADD
       * @enum {string}
       */
      operation?: "ADD" | "SUB" | "MUL" | "DIV" | "EXP" | "ABS" | "SQRT" | "MIN" | "MAX";
      /**
       * A
       * @description The first number
       * @default 1
       */
      a?: number;
      /**
       * B
       * @description The second number
       * @default 1
       */
      b?: number;
      /**
       * type
       * @default float_math
       * @constant
       */
      type: "float_math";
    };
    /**
     * FloatOutput
     * @description Base class for nodes that output a single float
     */
    FloatOutput: {
      /**
       * Value
       * @description The output float
       */
      value: number;
      /**
       * type
       * @default float_output
       * @constant
       */
      type: "float_output";
    };
    /**
     * Float To Integer
     * @description Rounds a float number to (a multiple of) an integer.
     */
    FloatToIntegerInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Value
       * @description The value to round
       * @default 0
       */
      value?: number;
      /**
       * Multiple of
       * @description The multiple to round to
       * @default 1
       */
      multiple?: number;
      /**
       * Method
       * @description The method to use for rounding
       * @default Nearest
       * @enum {string}
       */
      method?: "Nearest" | "Floor" | "Ceiling" | "Truncate";
      /**
       * type
       * @default float_to_int
       * @constant
       */
      type: "float_to_int";
    };
    /**
     * FreeUConfig
     * @description Configuration for the FreeU hyperparameters.
     * - https://huggingface.co/docs/diffusers/main/en/using-diffusers/freeu
     * - https://github.com/ChenyangSi/FreeU
     */
    FreeUConfig: {
      /**
       * S1
       * @description Scaling factor for stage 1 to attenuate the contributions of the skip features. This is done to mitigate the "oversmoothing effect" in the enhanced denoising process.
       */
      s1: number;
      /**
       * S2
       * @description Scaling factor for stage 2 to attenuate the contributions of the skip features. This is done to mitigate the "oversmoothing effect" in the enhanced denoising process.
       */
      s2: number;
      /**
       * B1
       * @description Scaling factor for stage 1 to amplify the contributions of backbone features.
       */
      b1: number;
      /**
       * B2
       * @description Scaling factor for stage 2 to amplify the contributions of backbone features.
       */
      b2: number;
    };
    /**
     * FreeU
     * @description Applies FreeU to the UNet. Suggested values (b1/b2/s1/s2):
     *
     * SD1.5: 1.2/1.4/0.9/0.2,
     * SD2: 1.1/1.2/0.9/0.2,
     * SDXL: 1.1/1.2/0.6/0.4,
     */
    FreeUInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * UNet
       * @description UNet (scheduler, LoRAs)
       */
      unet?: components["schemas"]["UNetField"];
      /**
       * B1
       * @description Scaling factor for stage 1 to amplify the contributions of backbone features.
       * @default 1.2
       */
      b1?: number;
      /**
       * B2
       * @description Scaling factor for stage 2 to amplify the contributions of backbone features.
       * @default 1.4
       */
      b2?: number;
      /**
       * S1
       * @description Scaling factor for stage 1 to attenuate the contributions of the skip features. This is done to mitigate the "oversmoothing effect" in the enhanced denoising process.
       * @default 0.9
       */
      s1?: number;
      /**
       * S2
       * @description Scaling factor for stage 2 to attenuate the contributions of the skip features. This is done to mitigate the "oversmoothing effect" in the enhanced denoising process.
       * @default 0.2
       */
      s2?: number;
      /**
       * type
       * @default freeu
       * @constant
       */
      type: "freeu";
    };
    /** Graph */
    Graph: {
      /**
       * Id
       * @description The id of this graph
       */
      id?: string;
      /**
       * Nodes
       * @description The nodes in this graph
       */
      nodes?: {
        [key: string]: components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["FaceOffInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["CoreMetadataInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["LinearUIOutputInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["FreeUInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["MergeMetadataInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["BooleanInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataItemInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["MetadataInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["BooleanCollectionInvocation"];
      };
      /**
       * 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;
      /** @description The graph being executed */
      graph: components["schemas"]["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: {
        [key: string]: components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["BooleanOutput"] | components["schemas"]["T2IAdapterOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["String2Output"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["MetadataOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["FaceMaskOutput"] | components["schemas"]["StringPosNegOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["UNetOutput"] | components["schemas"]["MetadataItemOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["CollectInvocationOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["FaceOffOutput"] | components["schemas"]["VAEOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["CLIPOutput"] | components["schemas"]["IPAdapterOutput"] | components["schemas"]["ConditioningOutput"];
      };
      /**
       * Errors
       * @description Errors raised when executing nodes
       */
      errors: {
        [key: string]: string;
      };
      /**
       * Prepared Source Mapping
       * @description The map of prepared nodes to original graph nodes
       */
      prepared_source_mapping: {
        [key: string]: string;
      };
      /**
       * Source Prepared Mapping
       * @description The map of original graph nodes to prepared nodes
       */
      source_prepared_mapping: {
        [key: string]: string[];
      };
    };
    /**
     * GraphInvocation
     * @description Execute a graph
     */
    GraphInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The graph to run */
      graph?: components["schemas"]["Graph"];
      /**
       * type
       * @default graph
       * @constant
       */
      type: "graph";
    };
    /** GraphInvocationOutput */
    GraphInvocationOutput: {
      /**
       * type
       * @default graph_output
       * @constant
       */
      type: "graph_output";
    };
    /** HTTPValidationError */
    HTTPValidationError: {
      /** Detail */
      detail?: components["schemas"]["ValidationError"][];
    };
    /**
     * HED (softedge) Processor
     * @description Applies HED edge detection to image
     */
    HedImageProcessorInvocation: {
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to process */
      image?: components["schemas"]["ImageField"];
      /**
       * Detect Resolution
       * @description Pixel resolution for detection
       * @default 512
       */
      detect_resolution?: number;
      /**
       * Image Resolution
       * @description Pixel resolution for output image
       * @default 512
       */
      image_resolution?: number;
      /**
       * Scribble
       * @description Whether or not to use scribble mode
       * @default false
       */
      scribble?: boolean;
      /**
       * type
       * @default hed_image_processor
       * @constant
       */
      type: "hed_image_processor";
    };
    /**
     * IPAdapterConfig
     * @description Model config for IP Adaptor format models.
     */
    IPAdapterConfig: {
      /** Path */
      path: string;
      /** Name */
      name: string;
      base: components["schemas"]["invokeai__backend__model_manager__config__BaseModelType"];
      /**
       * Type
       * @default ip_adapter
       * @constant
       */
      type?: "ip_adapter";
      /**
       * Format
       * @constant
       */
      format: "invokeai";
      /**
       * Key
       * @description unique key for model
       * @default <NOKEY>
       */
      key?: string;
      /**
       * Original Hash
       * @description original fasthash of model contents
       */
      original_hash?: string | null;
      /**
       * Current Hash
       * @description current fasthash of model contents
       */
      current_hash?: string | null;
      /** Description */
      description?: string | null;
      /**
       * Source
       * @description Model download source (URL or repo_id)
       */
      source?: string | null;
    };
    /** IPAdapterField */
    IPAdapterField: {
      /**
       * Image
       * @description The IP-Adapter image prompt(s).
       */
      image: components["schemas"]["ImageField"] | components["schemas"]["ImageField"][];
      /** @description The IP-Adapter model to use. */
      ip_adapter_model: components["schemas"]["IPAdapterModelField"];
      /** @description The name of the CLIP image encoder model. */
      image_encoder_model: components["schemas"]["CLIPVisionModelField"];
      /**
       * Weight
       * @description The weight given to the ControlNet
       * @default 1
       */
      weight?: number | number[];
      /**
       * Begin Step Percent
       * @description When the IP-Adapter is first applied (% of total steps)
       * @default 0
       */
      begin_step_percent?: number;
      /**
       * End Step Percent
       * @description When the IP-Adapter is last applied (% of total steps)
       * @default 1
       */
      end_step_percent?: number;
    };
    /**
     * IP-Adapter
     * @description Collects IP-Adapter info to pass to other nodes.
     */
    IPAdapterInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Image
       * @description The IP-Adapter image prompt(s).
       */
      image?: components["schemas"]["ImageField"] | components["schemas"]["ImageField"][];
      /**
       * IP-Adapter Model
       * @description The IP-Adapter model.
       */
      ip_adapter_model: components["schemas"]["IPAdapterModelField"];
      /**
       * Weight
       * @description The weight given to the IP-Adapter
       * @default 1
       */
      weight?: number | number[];
      /**
       * Begin Step Percent
       * @description When the IP-Adapter is first applied (% of total steps)
       * @default 0
       */
      begin_step_percent?: number;
      /**
       * End Step Percent
       * @description When the IP-Adapter is last applied (% of total steps)
       * @default 1
       */
      end_step_percent?: number;
      /**
       * type
       * @default ip_adapter
       * @constant
       */
      type: "ip_adapter";
    };
    /**
     * IPAdapterMetadataField
     * @description IP Adapter Field, minus the CLIP Vision Encoder model
     */
    IPAdapterMetadataField: {
      /** @description The IP-Adapter image prompt. */
      image: components["schemas"]["ImageField"];
      /** @description The IP-Adapter model. */
      ip_adapter_model: components["schemas"]["IPAdapterModelField"];
      /**
       * Weight
       * @description The weight given to the IP-Adapter
       */
      weight: number | number[];
      /**
       * Begin Step Percent
       * @description When the IP-Adapter is first applied (% of total steps)
       */
      begin_step_percent: number;
      /**
       * End Step Percent
       * @description When the IP-Adapter is last applied (% of total steps)
       */
      end_step_percent: number;
    };
    /** IPAdapterModelField */
    IPAdapterModelField: {
      /**
       * Model Name
       * @description Name of the IP-Adapter model
       */
      model_name: string;
      /** @description Base model */
      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
    };
    /** IPAdapterModelInvokeAIConfig */
    IPAdapterModelInvokeAIConfig: {
      /** Model Name */
      model_name: string;
      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
      /**
       * Model Type
       * @default ip_adapter
       * @constant
       */
      model_type: "ip_adapter";
      /** Path */
      path: string;
      /** Description */
      description?: string | null;
      /**
       * Model Format
       * @constant
       */
      model_format: "invokeai";
      error?: components["schemas"]["ModelError"] | null;
    };
    /** IPAdapterOutput */
    IPAdapterOutput: {
      /**
       * IP-Adapter
       * @description IP-Adapter to apply
       */
      ip_adapter: components["schemas"]["IPAdapterField"];
      /**
       * type
       * @default ip_adapter_output
       * @constant
       */
      type: "ip_adapter_output";
    };
    /**
     * Blur Image
     * @description Blurs an image
     */
    ImageBlurInvocation: {
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @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";
      /**
       * type
       * @default img_blur
       * @constant
       */
      type: "img_blur";
    };
    /**
     * 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";
    /**
     * Extract Image Channel
     * @description Gets a channel from an image.
     */
    ImageChannelInvocation: {
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @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";
      /**
       * type
       * @default img_chan
       * @constant
       */
      type: "img_chan";
    };
    /**
     * Multiply Image Channel
     * @description Scale a specific color channel of an image.
     */
    ImageChannelMultiplyInvocation: {
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to adjust */
      image?: components["schemas"]["ImageField"];
      /**
       * Channel
       * @description Which channel to adjust
       * @enum {string}
       */
      channel?: "Red (RGBA)" | "Green (RGBA)" | "Blue (RGBA)" | "Alpha (RGBA)" | "Cyan (CMYK)" | "Magenta (CMYK)" | "Yellow (CMYK)" | "Black (CMYK)" | "Hue (HSV)" | "Saturation (HSV)" | "Value (HSV)" | "Luminosity (LAB)" | "A (LAB)" | "B (LAB)" | "Y (YCbCr)" | "Cb (YCbCr)" | "Cr (YCbCr)";
      /**
       * Scale
       * @description The amount to scale the channel by.
       * @default 1
       */
      scale?: number;
      /**
       * Invert Channel
       * @description Invert the channel after scaling
       * @default false
       */
      invert_channel?: boolean;
      /**
       * type
       * @default img_channel_multiply
       * @constant
       */
      type: "img_channel_multiply";
    };
    /**
     * Offset Image Channel
     * @description Add or subtract a value from a specific color channel of an image.
     */
    ImageChannelOffsetInvocation: {
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to adjust */
      image?: components["schemas"]["ImageField"];
      /**
       * Channel
       * @description Which channel to adjust
       * @enum {string}
       */
      channel?: "Red (RGBA)" | "Green (RGBA)" | "Blue (RGBA)" | "Alpha (RGBA)" | "Cyan (CMYK)" | "Magenta (CMYK)" | "Yellow (CMYK)" | "Black (CMYK)" | "Hue (HSV)" | "Saturation (HSV)" | "Value (HSV)" | "Luminosity (LAB)" | "A (LAB)" | "B (LAB)" | "Y (YCbCr)" | "Cb (YCbCr)" | "Cr (YCbCr)";
      /**
       * Offset
       * @description The amount to adjust the channel by
       * @default 0
       */
      offset?: number;
      /**
       * type
       * @default img_channel_offset
       * @constant
       */
      type: "img_channel_offset";
    };
    /**
     * Image Collection Primitive
     * @description A collection of image primitive values
     */
    ImageCollectionInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Collection
       * @description The collection of image values
       */
      collection?: components["schemas"]["ImageField"][];
      /**
       * type
       * @default image_collection
       * @constant
       */
      type: "image_collection";
    };
    /**
     * ImageCollectionOutput
     * @description Base class for nodes that output a collection of images
     */
    ImageCollectionOutput: {
      /**
       * Collection
       * @description The output images
       */
      collection: components["schemas"]["ImageField"][];
      /**
       * type
       * @default image_collection_output
       * @constant
       */
      type: "image_collection_output";
    };
    /**
     * Convert Image Mode
     * @description Converts an image to a different mode.
     */
    ImageConvertInvocation: {
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @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";
      /**
       * type
       * @default img_conv
       * @constant
       */
      type: "img_conv";
    };
    /**
     * Crop Image
     * @description Crops an image to a specified box. The box can be outside of the image.
     */
    ImageCropInvocation: {
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @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;
      /**
       * type
       * @default img_crop
       * @constant
       */
      type: "img_crop";
    };
    /**
     * 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 | null;
      /**
       * 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 | null;
      /**
       * Node Id
       * @description The node ID that generated this image, if it is a generated image.
       */
      node_id?: string | null;
      /**
       * Starred
       * @description Whether this image is starred.
       */
      starred: boolean;
      /**
       * Board Id
       * @description The id of the board the image belongs to, if one exists.
       */
      board_id?: string | null;
      /**
       * Workflow Id
       * @description The workflow that generated this image.
       */
      workflow_id?: string | null;
    };
    /**
     * ImageField
     * @description An image primitive field
     */
    ImageField: {
      /**
       * Image Name
       * @description The name of the image
       */
      image_name: string;
    };
    /**
     * Adjust Image Hue
     * @description Adjusts the Hue of an image.
     */
    ImageHueAdjustmentInvocation: {
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to adjust */
      image?: components["schemas"]["ImageField"];
      /**
       * Hue
       * @description The degrees by which to rotate the hue, 0-360
       * @default 0
       */
      hue?: number;
      /**
       * type
       * @default img_hue_adjust
       * @constant
       */
      type: "img_hue_adjust";
    };
    /**
     * Inverse Lerp Image
     * @description Inverse linear interpolation of all pixels of an image
     */
    ImageInverseLerpInvocation: {
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @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;
      /**
       * type
       * @default img_ilerp
       * @constant
       */
      type: "img_ilerp";
    };
    /**
     * Image Primitive
     * @description An image primitive value
     */
    ImageInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to load */
      image?: components["schemas"]["ImageField"];
      /**
       * type
       * @default image
       * @constant
       */
      type: "image";
    };
    /**
     * Lerp Image
     * @description Linear interpolation of all pixels of an image
     */
    ImageLerpInvocation: {
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @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;
      /**
       * type
       * @default img_lerp
       * @constant
       */
      type: "img_lerp";
    };
    /**
     * Multiply Images
     * @description Multiplies two images together using `PIL.ImageChops.multiply()`.
     */
    ImageMultiplyInvocation: {
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The first image to multiply */
      image1?: components["schemas"]["ImageField"];
      /** @description The second image to multiply */
      image2?: components["schemas"]["ImageField"];
      /**
       * type
       * @default img_mul
       * @constant
       */
      type: "img_mul";
    };
    /**
     * Blur NSFW Image
     * @description Add blur to NSFW-flagged images
     */
    ImageNSFWBlurInvocation: {
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to check */
      image?: components["schemas"]["ImageField"];
      /**
       * type
       * @default img_nsfw
       * @constant
       */
      type: "img_nsfw";
    };
    /**
     * ImageOutput
     * @description Base class for nodes that output a single image
     */
    ImageOutput: {
      /** @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;
      /**
       * type
       * @default image_output
       * @constant
       */
      type: "image_output";
    };
    /**
     * Paste Image
     * @description Pastes an image into another image.
     */
    ImagePasteInvocation: {
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The base image */
      base_image?: components["schemas"]["ImageField"];
      /** @description The image to paste */
      image?: components["schemas"]["ImageField"];
      /** @description The mask to use when pasting */
      mask?: components["schemas"]["ImageField"] | null;
      /**
       * 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;
      /**
       * Crop
       * @description Crop to base image dimensions
       * @default false
       */
      crop?: boolean;
      /**
       * type
       * @default img_paste
       * @constant
       */
      type: "img_paste";
    };
    /**
     * 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
     *   - `starred`: change whether the image is starred
     */
    ImageRecordChanges: {
      /** @description The image's new category. */
      image_category?: components["schemas"]["ImageCategory"] | null;
      /**
       * Session Id
       * @description The image's new session ID.
       */
      session_id?: string | null;
      /**
       * Is Intermediate
       * @description The image's new `is_intermediate` flag.
       */
      is_intermediate?: boolean | null;
      /**
       * Starred
       * @description The image's new `starred` state
       */
      starred?: boolean | null;
      [key: string]: unknown;
    };
    /**
     * Resize Image
     * @description Resizes an image to specific dimensions
     */
    ImageResizeInvocation: {
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to resize */
      image?: components["schemas"]["ImageField"];
      /**
       * Width
       * @description The width to resize to (px)
       * @default 512
       */
      width?: number;
      /**
       * Height
       * @description The height to resize to (px)
       * @default 512
       */
      height?: number;
      /**
       * Resample Mode
       * @description The resampling mode
       * @default bicubic
       * @enum {string}
       */
      resample_mode?: "nearest" | "box" | "bilinear" | "hamming" | "bicubic" | "lanczos";
      /**
       * type
       * @default img_resize
       * @constant
       */
      type: "img_resize";
    };
    /**
     * Scale Image
     * @description Scales an image by a factor
     */
    ImageScaleInvocation: {
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to scale */
      image?: components["schemas"]["ImageField"];
      /**
       * Scale Factor
       * @description The factor by which to scale the image
       * @default 2
       */
      scale_factor?: number;
      /**
       * Resample Mode
       * @description The resampling mode
       * @default bicubic
       * @enum {string}
       */
      resample_mode?: "nearest" | "box" | "bilinear" | "hamming" | "bicubic" | "lanczos";
      /**
       * type
       * @default img_scale
       * @constant
       */
      type: "img_scale";
    };
    /**
     * Image to Latents
     * @description Encodes an image into latents.
     */
    ImageToLatentsInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to encode */
      image?: components["schemas"]["ImageField"];
      /** @description VAE */
      vae?: components["schemas"]["VaeField"];
      /**
       * Tiled
       * @description Processing using overlapping tiles (reduce memory consumption)
       * @default false
       */
      tiled?: boolean;
      /**
       * Fp32
       * @description Whether or not to use full float32 precision
       * @default false
       */
      fp32?: boolean;
      /**
       * type
       * @default i2l
       * @constant
       */
      type: "i2l";
    };
    /**
     * 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;
    };
    /**
     * Add Invisible Watermark
     * @description Add an invisible watermark to an image
     */
    ImageWatermarkInvocation: {
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to check */
      image?: components["schemas"]["ImageField"];
      /**
       * Text
       * @description Watermark text
       * @default InvokeAI
       */
      text?: string;
      /**
       * type
       * @default img_watermark
       * @constant
       */
      type: "img_watermark";
    };
    /** ImagesDownloaded */
    ImagesDownloaded: {
      /**
       * Response
       * @description If defined, the message to display to the user when images begin downloading
       */
      response: string | null;
    };
    /** ImagesUpdatedFromListResult */
    ImagesUpdatedFromListResult: {
      /**
       * Updated Image Names
       * @description The image names that were updated
       */
      updated_image_names: string[];
    };
    /**
     * Solid Color Infill
     * @description Infills transparent areas of an image with a solid color
     */
    InfillColorInvocation: {
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to infill */
      image?: components["schemas"]["ImageField"];
      /**
       * @description The color to use to infill
       * @default {
       *   "r": 127,
       *   "g": 127,
       *   "b": 127,
       *   "a": 255
       * }
       */
      color?: components["schemas"]["ColorField"];
      /**
       * type
       * @default infill_rgba
       * @constant
       */
      type: "infill_rgba";
    };
    /**
     * PatchMatch Infill
     * @description Infills transparent areas of an image using the PatchMatch algorithm
     */
    InfillPatchMatchInvocation: {
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to infill */
      image?: components["schemas"]["ImageField"];
      /**
       * Downscale
       * @description Run patchmatch on downscaled image to speedup infill
       * @default 2
       */
      downscale?: number;
      /**
       * Resample Mode
       * @description The resampling mode
       * @default bicubic
       * @enum {string}
       */
      resample_mode?: "nearest" | "box" | "bilinear" | "hamming" | "bicubic" | "lanczos";
      /**
       * type
       * @default infill_patchmatch
       * @constant
       */
      type: "infill_patchmatch";
    };
    /**
     * Tile Infill
     * @description Infills transparent areas of an image with tiles of the image
     */
    InfillTileInvocation: {
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @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)
       * @default 0
       */
      seed?: number;
      /**
       * type
       * @default infill_tile
       * @constant
       */
      type: "infill_tile";
    };
    /**
     * Integer Collection Primitive
     * @description A collection of integer primitive values
     */
    IntegerCollectionInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Collection
       * @description The collection of integer values
       * @default []
       */
      collection?: number[];
      /**
       * type
       * @default integer_collection
       * @constant
       */
      type: "integer_collection";
    };
    /**
     * IntegerCollectionOutput
     * @description Base class for nodes that output a collection of integers
     */
    IntegerCollectionOutput: {
      /**
       * Collection
       * @description The int collection
       */
      collection: number[];
      /**
       * type
       * @default integer_collection_output
       * @constant
       */
      type: "integer_collection_output";
    };
    /**
     * Integer Primitive
     * @description An integer primitive value
     */
    IntegerInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Value
       * @description The integer value
       * @default 0
       */
      value?: number;
      /**
       * type
       * @default integer
       * @constant
       */
      type: "integer";
    };
    /**
     * Integer Math
     * @description Performs integer math.
     */
    IntegerMathInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Operation
       * @description The operation to perform
       * @default ADD
       * @enum {string}
       */
      operation?: "ADD" | "SUB" | "MUL" | "DIV" | "EXP" | "MOD" | "ABS" | "MIN" | "MAX";
      /**
       * A
       * @description The first number
       * @default 1
       */
      a?: number;
      /**
       * B
       * @description The second number
       * @default 1
       */
      b?: number;
      /**
       * type
       * @default integer_math
       * @constant
       */
      type: "integer_math";
    };
    /**
     * IntegerOutput
     * @description Base class for nodes that output a single integer
     */
    IntegerOutput: {
      /**
       * Value
       * @description The output integer
       */
      value: number;
      /**
       * type
       * @default integer_output
       * @constant
       */
      type: "integer_output";
    };
    /** InvocationCacheStatus */
    InvocationCacheStatus: {
      /**
       * Size
       * @description The current size of the invocation cache
       */
      size: number;
      /**
       * Hits
       * @description The number of cache hits
       */
      hits: number;
      /**
       * Misses
       * @description The number of cache misses
       */
      misses: number;
      /**
       * Enabled
       * @description Whether the invocation cache is enabled
       */
      enabled: boolean;
      /**
       * Max Size
       * @description The maximum size of the invocation cache
       */
      max_size: number;
    };
    /**
     * IterateInvocation
     * @description Iterates over a list of items
     */
    IterateInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Collection
       * @description The list of items to iterate over
       * @default []
       */
      collection?: unknown[];
      /**
       * Index
       * @description The index, will be provided on executed iterators
       * @default 0
       */
      index?: number;
      /**
       * type
       * @default iterate
       * @constant
       */
      type: "iterate";
    };
    /**
     * IterateInvocationOutput
     * @description Used to connect iteration outputs. Will be expanded to a specific output.
     */
    IterateInvocationOutput: {
      /**
       * Collection Item
       * @description The item being iterated over
       */
      item: unknown;
      /**
       * type
       * @default iterate_output
       * @constant
       */
      type: "iterate_output";
    };
    /**
     * LaMa Infill
     * @description Infills transparent areas of an image using the LaMa model
     */
    LaMaInfillInvocation: {
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to infill */
      image?: components["schemas"]["ImageField"];
      /**
       * type
       * @default infill_lama
       * @constant
       */
      type: "infill_lama";
    };
    /**
     * Latents Collection Primitive
     * @description A collection of latents tensor primitive values
     */
    LatentsCollectionInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Collection
       * @description The collection of latents tensors
       */
      collection?: components["schemas"]["LatentsField"][];
      /**
       * type
       * @default latents_collection
       * @constant
       */
      type: "latents_collection";
    };
    /**
     * LatentsCollectionOutput
     * @description Base class for nodes that output a collection of latents tensors
     */
    LatentsCollectionOutput: {
      /**
       * Collection
       * @description Latents tensor
       */
      collection: components["schemas"]["LatentsField"][];
      /**
       * type
       * @default latents_collection_output
       * @constant
       */
      type: "latents_collection_output";
    };
    /**
     * LatentsField
     * @description A latents tensor primitive field
     */
    LatentsField: {
      /**
       * Latents Name
       * @description The name of the latents
       */
      latents_name: string;
      /**
       * Seed
       * @description Seed used to generate this latents
       */
      seed?: number | null;
    };
    /**
     * Latents Primitive
     * @description A latents tensor primitive value
     */
    LatentsInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The latents tensor */
      latents?: components["schemas"]["LatentsField"];
      /**
       * type
       * @default latents
       * @constant
       */
      type: "latents";
    };
    /**
     * LatentsOutput
     * @description Base class for nodes that output a single latents tensor
     */
    LatentsOutput: {
      /** @description Latents tensor */
      latents: components["schemas"]["LatentsField"];
      /**
       * Width
       * @description Width of output (px)
       */
      width: number;
      /**
       * Height
       * @description Height of output (px)
       */
      height: number;
      /**
       * type
       * @default latents_output
       * @constant
       */
      type: "latents_output";
    };
    /**
     * Latents to Image
     * @description Generates an image from latents.
     */
    LatentsToImageInvocation: {
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description Latents tensor */
      latents?: components["schemas"]["LatentsField"];
      /** @description VAE */
      vae?: components["schemas"]["VaeField"];
      /**
       * Tiled
       * @description Processing using overlapping tiles (reduce memory consumption)
       * @default false
       */
      tiled?: boolean;
      /**
       * Fp32
       * @description Whether or not to use full float32 precision
       * @default false
       */
      fp32?: boolean;
      /**
       * type
       * @default l2i
       * @constant
       */
      type: "l2i";
    };
    /**
     * Leres (Depth) Processor
     * @description Applies leres processing to image
     */
    LeresImageProcessorInvocation: {
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to process */
      image?: components["schemas"]["ImageField"];
      /**
       * Thr A
       * @description Leres parameter `thr_a`
       * @default 0
       */
      thr_a?: number;
      /**
       * Thr B
       * @description Leres parameter `thr_b`
       * @default 0
       */
      thr_b?: number;
      /**
       * Boost
       * @description Whether to use boost mode
       * @default false
       */
      boost?: boolean;
      /**
       * Detect Resolution
       * @description Pixel resolution for detection
       * @default 512
       */
      detect_resolution?: number;
      /**
       * Image Resolution
       * @description Pixel resolution for output image
       * @default 512
       */
      image_resolution?: number;
      /**
       * type
       * @default leres_image_processor
       * @constant
       */
      type: "leres_image_processor";
    };
    /**
     * Linear UI Image Output
     * @description Handles Linear UI Image Outputting tasks.
     */
    LinearUIOutputInvocation: {
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default false
       */
      use_cache?: boolean;
      /** @description The image to process */
      image?: components["schemas"]["ImageField"];
      /** @description The board to save the image to */
      board?: components["schemas"]["BoardField"] | null;
      /**
       * type
       * @default linear_ui_output
       * @constant
       */
      type: "linear_ui_output";
    };
    /**
     * Lineart Anime Processor
     * @description Applies line art anime processing to image
     */
    LineartAnimeImageProcessorInvocation: {
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to process */
      image?: components["schemas"]["ImageField"];
      /**
       * Detect Resolution
       * @description Pixel resolution for detection
       * @default 512
       */
      detect_resolution?: number;
      /**
       * Image Resolution
       * @description Pixel resolution for output image
       * @default 512
       */
      image_resolution?: number;
      /**
       * type
       * @default lineart_anime_image_processor
       * @constant
       */
      type: "lineart_anime_image_processor";
    };
    /**
     * Lineart Processor
     * @description Applies line art processing to image
     */
    LineartImageProcessorInvocation: {
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to process */
      image?: components["schemas"]["ImageField"];
      /**
       * Detect Resolution
       * @description Pixel resolution for detection
       * @default 512
       */
      detect_resolution?: number;
      /**
       * Image Resolution
       * @description Pixel resolution for output image
       * @default 512
       */
      image_resolution?: number;
      /**
       * Coarse
       * @description Whether to use coarse mode
       * @default false
       */
      coarse?: boolean;
      /**
       * type
       * @default lineart_image_processor
       * @constant
       */
      type: "lineart_image_processor";
    };
    /**
     * LoRAConfig
     * @description Model config for LoRA/Lycoris models.
     */
    LoRAConfig: {
      /** Path */
      path: string;
      /** Name */
      name: string;
      base: components["schemas"]["invokeai__backend__model_manager__config__BaseModelType"];
      /**
       * Type
       * @default lora
       * @constant
       */
      type?: "lora";
      /**
       * Format
       * @enum {string}
       */
      format: "lycoris" | "diffusers";
      /**
       * Key
       * @description unique key for model
       * @default <NOKEY>
       */
      key?: string;
      /**
       * Original Hash
       * @description original fasthash of model contents
       */
      original_hash?: string | null;
      /**
       * Current Hash
       * @description current fasthash of model contents
       */
      current_hash?: string | null;
      /** Description */
      description?: string | null;
      /**
       * Source
       * @description Model download source (URL or repo_id)
       */
      source?: string | null;
    };
    /**
     * LoRAMetadataField
     * @description LoRA Metadata Field
     */
    LoRAMetadataField: {
      /** @description LoRA model to load */
      lora: components["schemas"]["LoRAModelField"];
      /**
       * Weight
       * @description The weight at which the LoRA is applied to each model
       */
      weight: number;
    };
    /** LoRAModelConfig */
    LoRAModelConfig: {
      /** Model Name */
      model_name: string;
      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
      /**
       * Model Type
       * @default lora
       * @constant
       */
      model_type: "lora";
      /** Path */
      path: string;
      /** Description */
      description?: string | null;
      model_format: components["schemas"]["LoRAModelFormat"];
      error?: components["schemas"]["ModelError"] | null;
    };
    /**
     * LoRAModelField
     * @description LoRA model field
     */
    LoRAModelField: {
      /**
       * Model Name
       * @description Name of the LoRA model
       */
      model_name: string;
      /** @description Base model */
      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
    };
    /**
     * LoRAModelFormat
     * @enum {string}
     */
    LoRAModelFormat: "lycoris" | "diffusers";
    /**
     * LogLevel
     * @enum {integer}
     */
    LogLevel: 0 | 10 | 20 | 30 | 40 | 50;
    /** LoraInfo */
    LoraInfo: {
      /**
       * Model Name
       * @description Info to load submodel
       */
      model_name: string;
      /** @description Base model */
      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
      /** @description Info to load submodel */
      model_type: components["schemas"]["invokeai__backend__model_management__models__base__ModelType"];
      /** @description Info to load submodel */
      submodel?: components["schemas"]["SubModelType"] | null;
      /**
       * Weight
       * @description Lora's weight which to use when apply to model
       */
      weight: number;
    };
    /**
     * LoRA
     * @description Apply selected lora to unet and text_encoder.
     */
    LoraLoaderInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * LoRA
       * @description LoRA model to load
       */
      lora: components["schemas"]["LoRAModelField"];
      /**
       * Weight
       * @description The weight at which the LoRA is applied to each model
       * @default 0.75
       */
      weight?: number;
      /**
       * UNet
       * @description UNet (scheduler, LoRAs)
       */
      unet?: components["schemas"]["UNetField"] | null;
      /**
       * CLIP
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       */
      clip?: components["schemas"]["ClipField"] | null;
      /**
       * type
       * @default lora_loader
       * @constant
       */
      type: "lora_loader";
    };
    /**
     * LoraLoaderOutput
     * @description Model loader output
     */
    LoraLoaderOutput: {
      /**
       * UNet
       * @description UNet (scheduler, LoRAs)
       */
      unet?: components["schemas"]["UNetField"] | null;
      /**
       * CLIP
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       */
      clip?: components["schemas"]["ClipField"] | null;
      /**
       * type
       * @default lora_loader_output
       * @constant
       */
      type: "lora_loader_output";
    };
    /**
     * MainCheckpointConfig
     * @description Model config for main checkpoint models.
     */
    MainCheckpointConfig: {
      /** Path */
      path: string;
      /** Name */
      name: string;
      base: components["schemas"]["invokeai__backend__model_manager__config__BaseModelType"];
      /**
       * Type
       * @default main
       * @constant
       */
      type?: "main";
      /**
       * Format
       * @default checkpoint
       * @constant
       */
      format?: "checkpoint";
      /**
       * Key
       * @description unique key for model
       * @default <NOKEY>
       */
      key?: string;
      /**
       * Original Hash
       * @description original fasthash of model contents
       */
      original_hash?: string | null;
      /**
       * Current Hash
       * @description current fasthash of model contents
       */
      current_hash?: string | null;
      /** Description */
      description?: string | null;
      /**
       * Source
       * @description Model download source (URL or repo_id)
       */
      source?: string | null;
      /** Vae */
      vae?: string | null;
      /** @default normal */
      variant?: components["schemas"]["invokeai__backend__model_manager__config__ModelVariantType"];
      /**
       * Ztsnr Training
       * @default false
       */
      ztsnr_training?: boolean;
      /**
       * Config
       * @description path to the checkpoint model config file
       */
      config: string;
    };
    /**
     * MainDiffusersConfig
     * @description Model config for main diffusers models.
     */
    MainDiffusersConfig: {
      /** Path */
      path: string;
      /** Name */
      name: string;
      base: components["schemas"]["invokeai__backend__model_manager__config__BaseModelType"];
      /**
       * Type
       * @default main
       * @constant
       */
      type?: "main";
      /**
       * Format
       * @default diffusers
       * @constant
       */
      format?: "diffusers";
      /**
       * Key
       * @description unique key for model
       * @default <NOKEY>
       */
      key?: string;
      /**
       * Original Hash
       * @description original fasthash of model contents
       */
      original_hash?: string | null;
      /**
       * Current Hash
       * @description current fasthash of model contents
       */
      current_hash?: string | null;
      /** Description */
      description?: string | null;
      /**
       * Source
       * @description Model download source (URL or repo_id)
       */
      source?: string | null;
      /** Vae */
      vae?: string | null;
      /** @default normal */
      variant?: components["schemas"]["invokeai__backend__model_manager__config__ModelVariantType"];
      /**
       * Ztsnr Training
       * @default false
       */
      ztsnr_training?: boolean;
      /** @default epsilon */
      prediction_type?: components["schemas"]["invokeai__backend__model_manager__config__SchedulerPredictionType"];
      /**
       * Upcast Attention
       * @default false
       */
      upcast_attention?: boolean;
    };
    /**
     * MainModelField
     * @description Main model field
     */
    MainModelField: {
      /**
       * Model Name
       * @description Name of the model
       */
      model_name: string;
      /** @description Base model */
      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
      /** @description Model Type */
      model_type: components["schemas"]["invokeai__backend__model_management__models__base__ModelType"];
    };
    /**
     * Main Model
     * @description Loads a main model, outputting its submodels.
     */
    MainModelLoaderInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description Main model (UNet, VAE, CLIP) to load */
      model: components["schemas"]["MainModelField"];
      /**
       * type
       * @default main_model_loader
       * @constant
       */
      type: "main_model_loader";
    };
    /**
     * Combine Masks
     * @description Combine two masks together by multiplying them using `PIL.ImageChops.multiply()`.
     */
    MaskCombineInvocation: {
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The first mask to combine */
      mask1?: components["schemas"]["ImageField"];
      /** @description The second image to combine */
      mask2?: components["schemas"]["ImageField"];
      /**
       * type
       * @default mask_combine
       * @constant
       */
      type: "mask_combine";
    };
    /**
     * Mask Edge
     * @description Applies an edge mask to an image
     */
    MaskEdgeInvocation: {
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to apply the mask to */
      image?: components["schemas"]["ImageField"];
      /**
       * Edge Size
       * @description The size of the edge
       */
      edge_size?: number;
      /**
       * Edge Blur
       * @description The amount of blur on the edge
       */
      edge_blur?: number;
      /**
       * Low Threshold
       * @description First threshold for the hysteresis procedure in Canny edge detection
       */
      low_threshold?: number;
      /**
       * High Threshold
       * @description Second threshold for the hysteresis procedure in Canny edge detection
       */
      high_threshold?: number;
      /**
       * type
       * @default mask_edge
       * @constant
       */
      type: "mask_edge";
    };
    /**
     * Mask from Alpha
     * @description Extracts the alpha channel of an image as a mask.
     */
    MaskFromAlphaInvocation: {
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @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;
      /**
       * type
       * @default tomask
       * @constant
       */
      type: "tomask";
    };
    /**
     * Mediapipe Face Processor
     * @description Applies mediapipe face processing to image
     */
    MediapipeFaceProcessorInvocation: {
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @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;
      /**
       * type
       * @default mediapipe_face_processor
       * @constant
       */
      type: "mediapipe_face_processor";
    };
    /**
     * MergeInterpolationMethod
     * @enum {string}
     */
    MergeInterpolationMethod: "weighted_sum" | "sigmoid" | "inv_sigmoid" | "add_difference";
    /**
     * Metadata Merge
     * @description Merged a collection of MetadataDict into a single MetadataDict.
     */
    MergeMetadataInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Collection
       * @description Collection of Metadata
       */
      collection?: components["schemas"]["MetadataField"][];
      /**
       * type
       * @default merge_metadata
       * @constant
       */
      type: "merge_metadata";
    };
    /** MergeModelsBody */
    MergeModelsBody: {
      /**
       * Model Names
       * @description model name
       */
      model_names: string[];
      /**
       * Merged Model Name
       * @description Name of destination model
       */
      merged_model_name: string | null;
      /**
       * Alpha
       * @description Alpha weighting strength to apply to 2d and 3d models
       * @default 0.5
       */
      alpha?: number | null;
      /** @description Interpolation method */
      interp: components["schemas"]["MergeInterpolationMethod"] | null;
      /**
       * Force
       * @description Force merging of models created with different versions of diffusers
       * @default false
       */
      force?: boolean | null;
      /**
       * Merge Dest Directory
       * @description Save the merged model to the designated directory (with 'merged_model_name' appended)
       */
      merge_dest_directory?: string | null;
    };
    /**
     * MetadataField
     * @description Pydantic model for metadata with custom root of type dict[str, Any].
     * Metadata is stored without a strict schema.
     */
    MetadataField: Record<string, never>;
    /**
     * Metadata
     * @description Takes a MetadataItem or collection of MetadataItems and outputs a MetadataDict.
     */
    MetadataInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Items
       * @description A single metadata item or collection of metadata items
       */
      items?: components["schemas"]["MetadataItemField"][] | components["schemas"]["MetadataItemField"];
      /**
       * type
       * @default metadata
       * @constant
       */
      type: "metadata";
    };
    /** MetadataItemField */
    MetadataItemField: {
      /**
       * Label
       * @description Label for this metadata item
       */
      label: string;
      /**
       * Value
       * @description The value for this metadata item (may be any type)
       */
      value: unknown;
    };
    /**
     * Metadata Item
     * @description Used to create an arbitrary metadata item. Provide "label" and make a connection to "value" to store that data as the value.
     */
    MetadataItemInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Label
       * @description Label for this metadata item
       */
      label?: string;
      /**
       * Value
       * @description The value for this metadata item (may be any type)
       */
      value?: unknown;
      /**
       * type
       * @default metadata_item
       * @constant
       */
      type: "metadata_item";
    };
    /**
     * MetadataItemOutput
     * @description Metadata Item Output
     */
    MetadataItemOutput: {
      /** @description Metadata Item */
      item: components["schemas"]["MetadataItemField"];
      /**
       * type
       * @default metadata_item_output
       * @constant
       */
      type: "metadata_item_output";
    };
    /** MetadataOutput */
    MetadataOutput: {
      /** @description Metadata Dict */
      metadata: components["schemas"]["MetadataField"];
      /**
       * type
       * @default metadata_output
       * @constant
       */
      type: "metadata_output";
    };
    /**
     * Midas Depth Processor
     * @description Applies Midas depth processing to image
     */
    MidasDepthImageProcessorInvocation: {
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @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;
      /**
       * type
       * @default midas_depth_image_processor
       * @constant
       */
      type: "midas_depth_image_processor";
    };
    /**
     * MLSD Processor
     * @description Applies MLSD processing to image
     */
    MlsdImageProcessorInvocation: {
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to process */
      image?: components["schemas"]["ImageField"];
      /**
       * Detect Resolution
       * @description Pixel resolution for detection
       * @default 512
       */
      detect_resolution?: number;
      /**
       * Image Resolution
       * @description Pixel resolution for 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;
      /**
       * type
       * @default mlsd_image_processor
       * @constant
       */
      type: "mlsd_image_processor";
    };
    /**
     * ModelError
     * @constant
     */
    ModelError: "not_found";
    /** ModelInfo */
    ModelInfo: {
      /**
       * Model Name
       * @description Info to load submodel
       */
      model_name: string;
      /** @description Base model */
      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
      /** @description Info to load submodel */
      model_type: components["schemas"]["invokeai__backend__model_management__models__base__ModelType"];
      /** @description Info to load submodel */
      submodel?: components["schemas"]["SubModelType"] | null;
    };
    /**
     * ModelLoaderOutput
     * @description Model loader output
     */
    ModelLoaderOutput: {
      /**
       * VAE
       * @description VAE
       */
      vae: components["schemas"]["VaeField"];
      /**
       * type
       * @default model_loader_output
       * @constant
       */
      type: "model_loader_output";
      /**
       * CLIP
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       */
      clip: components["schemas"]["ClipField"];
      /**
       * UNet
       * @description UNet (scheduler, LoRAs)
       */
      unet: components["schemas"]["UNetField"];
    };
    /**
     * Multiply Integers
     * @description Multiplies two numbers
     */
    MultiplyInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * A
       * @description The first number
       * @default 0
       */
      a?: number;
      /**
       * B
       * @description The second number
       * @default 0
       */
      b?: number;
      /**
       * type
       * @default mul
       * @constant
       */
      type: "mul";
    };
    /** NodeFieldValue */
    NodeFieldValue: {
      /**
       * Node Path
       * @description The node into which this batch data item will be substituted.
       */
      node_path: string;
      /**
       * Field Name
       * @description The field into which this batch data item will be substituted.
       */
      field_name: string;
      /**
       * Value
       * @description The value to substitute into the node/field.
       */
      value: string | number;
    };
    /**
     * Noise
     * @description Generates latent noise.
     */
    NoiseInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Seed
       * @description Seed for random number generation
       * @default 0
       */
      seed?: number;
      /**
       * Width
       * @description Width of output (px)
       * @default 512
       */
      width?: number;
      /**
       * Height
       * @description Height of output (px)
       * @default 512
       */
      height?: number;
      /**
       * Use Cpu
       * @description Use CPU for noise generation (for reproducible results across platforms)
       * @default true
       */
      use_cpu?: boolean;
      /**
       * type
       * @default noise
       * @constant
       */
      type: "noise";
    };
    /**
     * NoiseOutput
     * @description Invocation noise output
     */
    NoiseOutput: {
      /** @description Noise tensor */
      noise: components["schemas"]["LatentsField"];
      /**
       * Width
       * @description Width of output (px)
       */
      width: number;
      /**
       * Height
       * @description Height of output (px)
       */
      height: number;
      /**
       * type
       * @default noise_output
       * @constant
       */
      type: "noise_output";
    };
    /**
     * Normal BAE Processor
     * @description Applies NormalBae processing to image
     */
    NormalbaeImageProcessorInvocation: {
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to process */
      image?: components["schemas"]["ImageField"];
      /**
       * Detect Resolution
       * @description Pixel resolution for detection
       * @default 512
       */
      detect_resolution?: number;
      /**
       * Image Resolution
       * @description Pixel resolution for output image
       * @default 512
       */
      image_resolution?: number;
      /**
       * type
       * @default normalbae_image_processor
       * @constant
       */
      type: "normalbae_image_processor";
    };
    /**
     * ONNX Latents to Image
     * @description Generates an image from latents.
     */
    ONNXLatentsToImageInvocation: {
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description Denoised latents tensor */
      latents?: components["schemas"]["LatentsField"];
      /** @description VAE */
      vae?: components["schemas"]["VaeField"];
      /**
       * type
       * @default l2i_onnx
       * @constant
       */
      type: "l2i_onnx";
    };
    /**
     * ONNXModelLoaderOutput
     * @description Model loader output
     */
    ONNXModelLoaderOutput: {
      /**
       * UNet
       * @description UNet (scheduler, LoRAs)
       */
      unet?: components["schemas"]["UNetField"];
      /**
       * CLIP
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       */
      clip?: components["schemas"]["ClipField"];
      /**
       * VAE Decoder
       * @description VAE
       */
      vae_decoder?: components["schemas"]["VaeField"];
      /**
       * VAE Encoder
       * @description VAE
       */
      vae_encoder?: components["schemas"]["VaeField"];
      /**
       * type
       * @default model_loader_output_onnx
       * @constant
       */
      type: "model_loader_output_onnx";
    };
    /** ONNX Prompt (Raw) */
    ONNXPromptInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Prompt
       * @description Raw prompt text (no parsing)
       * @default
       */
      prompt?: string;
      /** @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count */
      clip?: components["schemas"]["ClipField"];
      /**
       * type
       * @default prompt_onnx
       * @constant
       */
      type: "prompt_onnx";
    };
    /**
     * ONNXSD1Config
     * @description Model config for ONNX format models based on sd-1.
     */
    ONNXSD1Config: {
      /** Path */
      path: string;
      /** Name */
      name: string;
      /**
       * Base
       * @default sd-1
       * @constant
       */
      base?: "sd-1";
      /**
       * Type
       * @default onnx
       * @constant
       */
      type?: "onnx";
      /**
       * Format
       * @enum {string}
       */
      format: "onnx" | "olive";
      /**
       * Key
       * @description unique key for model
       * @default <NOKEY>
       */
      key?: string;
      /**
       * Original Hash
       * @description original fasthash of model contents
       */
      original_hash?: string | null;
      /**
       * Current Hash
       * @description current fasthash of model contents
       */
      current_hash?: string | null;
      /** Description */
      description?: string | null;
      /**
       * Source
       * @description Model download source (URL or repo_id)
       */
      source?: string | null;
      /** Vae */
      vae?: string | null;
      /** @default normal */
      variant?: components["schemas"]["invokeai__backend__model_manager__config__ModelVariantType"];
      /**
       * Ztsnr Training
       * @default false
       */
      ztsnr_training?: boolean;
      /** @default epsilon */
      prediction_type?: components["schemas"]["invokeai__backend__model_manager__config__SchedulerPredictionType"];
      /**
       * Upcast Attention
       * @default false
       */
      upcast_attention?: boolean;
    };
    /**
     * ONNXSD2Config
     * @description Model config for ONNX format models based on sd-2.
     */
    ONNXSD2Config: {
      /** Path */
      path: string;
      /** Name */
      name: string;
      /**
       * Base
       * @default sd-2
       * @constant
       */
      base?: "sd-2";
      /**
       * Type
       * @default onnx
       * @constant
       */
      type?: "onnx";
      /**
       * Format
       * @enum {string}
       */
      format: "onnx" | "olive";
      /**
       * Key
       * @description unique key for model
       * @default <NOKEY>
       */
      key?: string;
      /**
       * Original Hash
       * @description original fasthash of model contents
       */
      original_hash?: string | null;
      /**
       * Current Hash
       * @description current fasthash of model contents
       */
      current_hash?: string | null;
      /** Description */
      description?: string | null;
      /**
       * Source
       * @description Model download source (URL or repo_id)
       */
      source?: string | null;
      /** Vae */
      vae?: string | null;
      /** @default normal */
      variant?: components["schemas"]["invokeai__backend__model_manager__config__ModelVariantType"];
      /**
       * Ztsnr Training
       * @default false
       */
      ztsnr_training?: boolean;
      /** @default v_prediction */
      prediction_type?: components["schemas"]["invokeai__backend__model_manager__config__SchedulerPredictionType"];
      /**
       * Upcast Attention
       * @default true
       */
      upcast_attention?: boolean;
    };
    /** ONNXStableDiffusion1ModelConfig */
    ONNXStableDiffusion1ModelConfig: {
      /** Model Name */
      model_name: string;
      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
      /**
       * Model Type
       * @default onnx
       * @constant
       */
      model_type: "onnx";
      /** Path */
      path: string;
      /** Description */
      description?: string | null;
      /**
       * Model Format
       * @constant
       */
      model_format: "onnx";
      error?: components["schemas"]["ModelError"] | null;
      variant: components["schemas"]["invokeai__backend__model_management__models__base__ModelVariantType"];
    };
    /** ONNXStableDiffusion2ModelConfig */
    ONNXStableDiffusion2ModelConfig: {
      /** Model Name */
      model_name: string;
      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
      /**
       * Model Type
       * @default onnx
       * @constant
       */
      model_type: "onnx";
      /** Path */
      path: string;
      /** Description */
      description?: string | null;
      /**
       * Model Format
       * @constant
       */
      model_format: "onnx";
      error?: components["schemas"]["ModelError"] | null;
      variant: components["schemas"]["invokeai__backend__model_management__models__base__ModelVariantType"];
      prediction_type: components["schemas"]["invokeai__backend__model_management__models__base__SchedulerPredictionType"];
      /** Upcast Attention */
      upcast_attention: boolean;
    };
    /**
     * ONNX Text to Latents
     * @description Generates latents from conditionings.
     */
    ONNXTextToLatentsInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description Positive conditioning tensor */
      positive_conditioning?: components["schemas"]["ConditioningField"];
      /** @description Negative conditioning tensor */
      negative_conditioning?: components["schemas"]["ConditioningField"];
      /** @description Noise tensor */
      noise?: components["schemas"]["LatentsField"];
      /**
       * Steps
       * @description Number of steps to run
       * @default 10
       */
      steps?: number;
      /**
       * Cfg Scale
       * @description Classifier-Free Guidance scale
       * @default 7.5
       */
      cfg_scale?: number | number[];
      /**
       * Scheduler
       * @description Scheduler to use during inference
       * @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" | "lcm";
      /**
       * Precision
       * @description Precision to use
       * @default tensor(float16)
       * @enum {string}
       */
      precision?: "tensor(bool)" | "tensor(int8)" | "tensor(uint8)" | "tensor(int16)" | "tensor(uint16)" | "tensor(int32)" | "tensor(uint32)" | "tensor(int64)" | "tensor(uint64)" | "tensor(float16)" | "tensor(float)" | "tensor(double)";
      /** @description UNet (scheduler, LoRAs) */
      unet?: components["schemas"]["UNetField"];
      /**
       * Control
       * @description ControlNet(s) to apply
       */
      control?: components["schemas"]["ControlField"] | components["schemas"]["ControlField"][];
      /**
       * type
       * @default t2l_onnx
       * @constant
       */
      type: "t2l_onnx";
    };
    /** OffsetPaginatedResults[BoardDTO] */
    OffsetPaginatedResults_BoardDTO_: {
      /**
       * Limit
       * @description Limit of items to get
       */
      limit: number;
      /**
       * Offset
       * @description Offset from which to retrieve items
       */
      offset: number;
      /**
       * Total
       * @description Total number of items in result
       */
      total: number;
      /**
       * Items
       * @description Items
       */
      items: components["schemas"]["BoardDTO"][];
    };
    /** OffsetPaginatedResults[ImageDTO] */
    OffsetPaginatedResults_ImageDTO_: {
      /**
       * Limit
       * @description Limit of items to get
       */
      limit: number;
      /**
       * Offset
       * @description Offset from which to retrieve items
       */
      offset: number;
      /**
       * Total
       * @description Total number of items in result
       */
      total: number;
      /**
       * Items
       * @description Items
       */
      items: components["schemas"]["ImageDTO"][];
    };
    /**
     * OnnxModelField
     * @description Onnx model field
     */
    OnnxModelField: {
      /**
       * Model Name
       * @description Name of the model
       */
      model_name: string;
      /** @description Base model */
      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
      /** @description Model Type */
      model_type: components["schemas"]["invokeai__backend__model_management__models__base__ModelType"];
    };
    /**
     * ONNX Main Model
     * @description Loads a main model, outputting its submodels.
     */
    OnnxModelLoaderInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description ONNX Main model (UNet, VAE, CLIP) to load */
      model: components["schemas"]["OnnxModelField"];
      /**
       * type
       * @default onnx_model_loader
       * @constant
       */
      type: "onnx_model_loader";
    };
    /**
     * Openpose Processor
     * @description Applies Openpose processing to image
     */
    OpenposeImageProcessorInvocation: {
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @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 Pixel resolution for detection
       * @default 512
       */
      detect_resolution?: number;
      /**
       * Image Resolution
       * @description Pixel resolution for output image
       * @default 512
       */
      image_resolution?: number;
      /**
       * type
       * @default openpose_image_processor
       * @constant
       */
      type: "openpose_image_processor";
    };
    /**
     * PIDI Processor
     * @description Applies PIDI processing to image
     */
    PidiImageProcessorInvocation: {
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to process */
      image?: components["schemas"]["ImageField"];
      /**
       * Detect Resolution
       * @description Pixel resolution for detection
       * @default 512
       */
      detect_resolution?: number;
      /**
       * Image Resolution
       * @description Pixel resolution for output image
       * @default 512
       */
      image_resolution?: number;
      /**
       * Safe
       * @description Whether or not to use safe mode
       * @default false
       */
      safe?: boolean;
      /**
       * Scribble
       * @description Whether or not to use scribble mode
       * @default false
       */
      scribble?: boolean;
      /**
       * type
       * @default pidi_image_processor
       * @constant
       */
      type: "pidi_image_processor";
    };
    /**
     * Prompts from File
     * @description Loads prompts from a text file
     */
    PromptsFromFileInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * File Path
       * @description Path to prompt text file
       */
      file_path?: string;
      /**
       * Pre Prompt
       * @description String to prepend to each prompt
       */
      pre_prompt?: string | null;
      /**
       * Post Prompt
       * @description String to append to each prompt
       */
      post_prompt?: string | null;
      /**
       * Start Line
       * @description Line in the file to start start from
       * @default 1
       */
      start_line?: number;
      /**
       * Max Prompts
       * @description Max lines to read from file (0=all)
       * @default 1
       */
      max_prompts?: number;
      /**
       * type
       * @default prompt_from_file
       * @constant
       */
      type: "prompt_from_file";
    };
    /**
     * PruneResult
     * @description Result of pruning the session queue
     */
    PruneResult: {
      /**
       * Deleted
       * @description Number of queue items deleted
       */
      deleted: number;
    };
    /**
     * Random Float
     * @description Outputs a single random float
     */
    RandomFloatInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default false
       */
      use_cache?: boolean;
      /**
       * Low
       * @description The inclusive low value
       * @default 0
       */
      low?: number;
      /**
       * High
       * @description The exclusive high value
       * @default 1
       */
      high?: number;
      /**
       * Decimals
       * @description The number of decimal places to round to
       * @default 2
       */
      decimals?: number;
      /**
       * type
       * @default rand_float
       * @constant
       */
      type: "rand_float";
    };
    /**
     * Random Integer
     * @description Outputs a single random integer.
     */
    RandomIntInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default false
       */
      use_cache?: boolean;
      /**
       * Low
       * @description The inclusive low value
       * @default 0
       */
      low?: number;
      /**
       * High
       * @description The exclusive high value
       * @default 2147483647
       */
      high?: number;
      /**
       * type
       * @default rand_int
       * @constant
       */
      type: "rand_int";
    };
    /**
     * Random Range
     * @description Creates a collection of random numbers
     */
    RandomRangeInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default false
       */
      use_cache?: boolean;
      /**
       * 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)
       * @default 0
       */
      seed?: number;
      /**
       * type
       * @default random_range
       * @constant
       */
      type: "random_range";
    };
    /**
     * Integer Range
     * @description Creates a range of numbers from start to stop with step
     */
    RangeInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * 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;
      /**
       * type
       * @default range
       * @constant
       */
      type: "range";
    };
    /**
     * Integer Range of Size
     * @description Creates a range from start to start + (size * step) incremented by step
     */
    RangeOfSizeInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * 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;
      /**
       * type
       * @default range_of_size
       * @constant
       */
      type: "range_of_size";
    };
    /** RemoveImagesFromBoardResult */
    RemoveImagesFromBoardResult: {
      /**
       * Removed Image Names
       * @description The image names that were removed from their board
       */
      removed_image_names: string[];
    };
    /**
     * Resize Latents
     * @description Resizes latents to explicit width/height (in pixels). Provided dimensions are floor-divided by 8.
     */
    ResizeLatentsInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description Latents tensor */
      latents?: components["schemas"]["LatentsField"];
      /**
       * Width
       * @description Width of output (px)
       */
      width?: number;
      /**
       * Height
       * @description Width of output (px)
       */
      height?: number;
      /**
       * Mode
       * @description Interpolation mode
       * @default bilinear
       * @enum {string}
       */
      mode?: "nearest" | "linear" | "bilinear" | "bicubic" | "trilinear" | "area" | "nearest-exact";
      /**
       * Antialias
       * @description Whether or not to apply antialiasing (bilinear or bicubic only)
       * @default false
       */
      antialias?: boolean;
      /**
       * type
       * @default lresize
       * @constant
       */
      type: "lresize";
    };
    /**
     * 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";
    /**
     * Round Float
     * @description Rounds a float to a specified number of decimal places.
     */
    RoundInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Value
       * @description The float value
       * @default 0
       */
      value?: number;
      /**
       * Decimals
       * @description The number of decimal places
       * @default 0
       */
      decimals?: number;
      /**
       * type
       * @default round_float
       * @constant
       */
      type: "round_float";
    };
    /**
     * SDXL Prompt
     * @description Parse prompt using compel package to conditioning.
     */
    SDXLCompelPromptInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Prompt
       * @description Prompt to be parsed by Compel to create a conditioning tensor
       * @default
       */
      prompt?: string;
      /**
       * Style
       * @description Prompt to be parsed by Compel to create a conditioning tensor
       * @default
       */
      style?: string;
      /**
       * Original Width
       * @default 1024
       */
      original_width?: number;
      /**
       * Original Height
       * @default 1024
       */
      original_height?: number;
      /**
       * Crop Top
       * @default 0
       */
      crop_top?: number;
      /**
       * Crop Left
       * @default 0
       */
      crop_left?: number;
      /**
       * Target Width
       * @default 1024
       */
      target_width?: number;
      /**
       * Target Height
       * @default 1024
       */
      target_height?: number;
      /**
       * CLIP 1
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       */
      clip?: components["schemas"]["ClipField"];
      /**
       * CLIP 2
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       */
      clip2?: components["schemas"]["ClipField"];
      /**
       * type
       * @default sdxl_compel_prompt
       * @constant
       */
      type: "sdxl_compel_prompt";
    };
    /**
     * SDXL LoRA
     * @description Apply selected lora to unet and text_encoder.
     */
    SDXLLoraLoaderInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * LoRA
       * @description LoRA model to load
       */
      lora: components["schemas"]["LoRAModelField"];
      /**
       * Weight
       * @description The weight at which the LoRA is applied to each model
       * @default 0.75
       */
      weight?: number;
      /**
       * UNet
       * @description UNet (scheduler, LoRAs)
       */
      unet?: components["schemas"]["UNetField"] | null;
      /**
       * CLIP 1
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       */
      clip?: components["schemas"]["ClipField"] | null;
      /**
       * CLIP 2
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       */
      clip2?: components["schemas"]["ClipField"] | null;
      /**
       * type
       * @default sdxl_lora_loader
       * @constant
       */
      type: "sdxl_lora_loader";
    };
    /**
     * SDXLLoraLoaderOutput
     * @description SDXL LoRA Loader Output
     */
    SDXLLoraLoaderOutput: {
      /**
       * UNet
       * @description UNet (scheduler, LoRAs)
       */
      unet?: components["schemas"]["UNetField"] | null;
      /**
       * CLIP 1
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       */
      clip?: components["schemas"]["ClipField"] | null;
      /**
       * CLIP 2
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       */
      clip2?: components["schemas"]["ClipField"] | null;
      /**
       * type
       * @default sdxl_lora_loader_output
       * @constant
       */
      type: "sdxl_lora_loader_output";
    };
    /**
     * SDXL Main Model
     * @description Loads an sdxl base model, outputting its submodels.
     */
    SDXLModelLoaderInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description SDXL Main model (UNet, VAE, CLIP1, CLIP2) to load */
      model: components["schemas"]["MainModelField"];
      /**
       * type
       * @default sdxl_model_loader
       * @constant
       */
      type: "sdxl_model_loader";
    };
    /**
     * SDXLModelLoaderOutput
     * @description SDXL base model loader output
     */
    SDXLModelLoaderOutput: {
      /**
       * UNet
       * @description UNet (scheduler, LoRAs)
       */
      unet: components["schemas"]["UNetField"];
      /**
       * CLIP 1
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       */
      clip: components["schemas"]["ClipField"];
      /**
       * CLIP 2
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       */
      clip2: components["schemas"]["ClipField"];
      /**
       * VAE
       * @description VAE
       */
      vae: components["schemas"]["VaeField"];
      /**
       * type
       * @default sdxl_model_loader_output
       * @constant
       */
      type: "sdxl_model_loader_output";
    };
    /**
     * SDXL Refiner Prompt
     * @description Parse prompt using compel package to conditioning.
     */
    SDXLRefinerCompelPromptInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Style
       * @description Prompt to be parsed by Compel to create a conditioning tensor
       * @default
       */
      style?: string;
      /**
       * Original Width
       * @default 1024
       */
      original_width?: number;
      /**
       * Original Height
       * @default 1024
       */
      original_height?: number;
      /**
       * Crop Top
       * @default 0
       */
      crop_top?: number;
      /**
       * Crop Left
       * @default 0
       */
      crop_left?: number;
      /**
       * Aesthetic Score
       * @description The aesthetic score to apply to the conditioning tensor
       * @default 6
       */
      aesthetic_score?: number;
      /** @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count */
      clip2?: components["schemas"]["ClipField"];
      /**
       * type
       * @default sdxl_refiner_compel_prompt
       * @constant
       */
      type: "sdxl_refiner_compel_prompt";
    };
    /**
     * SDXL Refiner Model
     * @description Loads an sdxl refiner model, outputting its submodels.
     */
    SDXLRefinerModelLoaderInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description SDXL Refiner Main Modde (UNet, VAE, CLIP2) to load */
      model: components["schemas"]["MainModelField"];
      /**
       * type
       * @default sdxl_refiner_model_loader
       * @constant
       */
      type: "sdxl_refiner_model_loader";
    };
    /**
     * SDXLRefinerModelLoaderOutput
     * @description SDXL refiner model loader output
     */
    SDXLRefinerModelLoaderOutput: {
      /**
       * UNet
       * @description UNet (scheduler, LoRAs)
       */
      unet: components["schemas"]["UNetField"];
      /**
       * CLIP 2
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       */
      clip2: components["schemas"]["ClipField"];
      /**
       * VAE
       * @description VAE
       */
      vae: components["schemas"]["VaeField"];
      /**
       * type
       * @default sdxl_refiner_model_loader_output
       * @constant
       */
      type: "sdxl_refiner_model_loader_output";
    };
    /**
     * Save Image
     * @description Saves an image. Unlike an image primitive, this invocation stores a copy of the image.
     */
    SaveImageInvocation: {
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default false
       */
      use_cache?: boolean;
      /** @description The image to process */
      image?: components["schemas"]["ImageField"];
      /** @description The board to save the image to */
      board?: components["schemas"]["BoardField"];
      /**
       * type
       * @default save_image
       * @constant
       */
      type: "save_image";
    };
    /**
     * Scale Latents
     * @description Scales latents by a given factor.
     */
    ScaleLatentsInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description Latents tensor */
      latents?: components["schemas"]["LatentsField"];
      /**
       * Scale Factor
       * @description The factor by which to scale
       */
      scale_factor?: number;
      /**
       * Mode
       * @description Interpolation mode
       * @default bilinear
       * @enum {string}
       */
      mode?: "nearest" | "linear" | "bilinear" | "bicubic" | "trilinear" | "area" | "nearest-exact";
      /**
       * Antialias
       * @description Whether or not to apply antialiasing (bilinear or bicubic only)
       * @default false
       */
      antialias?: boolean;
      /**
       * type
       * @default lscale
       * @constant
       */
      type: "lscale";
    };
    /**
     * Scheduler
     * @description Selects a scheduler.
     */
    SchedulerInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Scheduler
       * @description Scheduler to use during inference
       * @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" | "lcm";
      /**
       * type
       * @default scheduler
       * @constant
       */
      type: "scheduler";
    };
    /** SchedulerOutput */
    SchedulerOutput: {
      /**
       * Scheduler
       * @description Scheduler to use during inference
       * @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" | "lcm";
      /**
       * type
       * @default scheduler_output
       * @constant
       */
      type: "scheduler_output";
    };
    /**
     * Seamless
     * @description Applies the seamless transformation to the Model UNet and VAE.
     */
    SeamlessModeInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * UNet
       * @description UNet (scheduler, LoRAs)
       */
      unet?: components["schemas"]["UNetField"] | null;
      /**
       * VAE
       * @description VAE model to load
       */
      vae?: components["schemas"]["VaeField"] | null;
      /**
       * Seamless Y
       * @description Specify whether Y axis is seamless
       * @default true
       */
      seamless_y?: boolean;
      /**
       * Seamless X
       * @description Specify whether X axis is seamless
       * @default true
       */
      seamless_x?: boolean;
      /**
       * type
       * @default seamless
       * @constant
       */
      type: "seamless";
    };
    /**
     * SeamlessModeOutput
     * @description Modified Seamless Model output
     */
    SeamlessModeOutput: {
      /**
       * UNet
       * @description UNet (scheduler, LoRAs)
       */
      unet?: components["schemas"]["UNetField"] | null;
      /**
       * VAE
       * @description VAE
       */
      vae?: components["schemas"]["VaeField"] | null;
      /**
       * type
       * @default seamless_output
       * @constant
       */
      type: "seamless_output";
    };
    /**
     * Segment Anything Processor
     * @description Applies segment anything processing to image
     */
    SegmentAnythingProcessorInvocation: {
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to process */
      image?: components["schemas"]["ImageField"];
      /**
       * type
       * @default segment_anything_processor
       * @constant
       */
      type: "segment_anything_processor";
    };
    /** SessionProcessorStatus */
    SessionProcessorStatus: {
      /**
       * Is Started
       * @description Whether the session processor is started
       */
      is_started: boolean;
      /**
       * Is Processing
       * @description Whether a session is being processed
       */
      is_processing: boolean;
    };
    /**
     * SessionQueueAndProcessorStatus
     * @description The overall status of session queue and processor
     */
    SessionQueueAndProcessorStatus: {
      queue: components["schemas"]["SessionQueueStatus"];
      processor: components["schemas"]["SessionProcessorStatus"];
    };
    /** SessionQueueItem */
    SessionQueueItem: {
      /**
       * Item Id
       * @description The identifier of the session queue item
       */
      item_id: number;
      /**
       * Status
       * @description The status of this queue item
       * @default pending
       * @enum {string}
       */
      status: "pending" | "in_progress" | "completed" | "failed" | "canceled";
      /**
       * Priority
       * @description The priority of this queue item
       * @default 0
       */
      priority: number;
      /**
       * Batch Id
       * @description The ID of the batch associated with this queue item
       */
      batch_id: string;
      /**
       * Session Id
       * @description The ID of the session associated with this queue item. The session doesn't exist in graph_executions until the queue item is executed.
       */
      session_id: string;
      /**
       * Error
       * @description The error message if this queue item errored
       */
      error?: string | null;
      /**
       * Created At
       * @description When this queue item was created
       */
      created_at: string;
      /**
       * Updated At
       * @description When this queue item was updated
       */
      updated_at: string;
      /**
       * Started At
       * @description When this queue item was started
       */
      started_at?: string | null;
      /**
       * Completed At
       * @description When this queue item was completed
       */
      completed_at?: string | null;
      /**
       * Queue Id
       * @description The id of the queue with which this item is associated
       */
      queue_id: string;
      /**
       * Field Values
       * @description The field values that were used for this queue item
       */
      field_values?: components["schemas"]["NodeFieldValue"][] | null;
      /** @description The fully-populated session to be executed */
      session: components["schemas"]["GraphExecutionState"];
    };
    /** SessionQueueItemDTO */
    SessionQueueItemDTO: {
      /**
       * Item Id
       * @description The identifier of the session queue item
       */
      item_id: number;
      /**
       * Status
       * @description The status of this queue item
       * @default pending
       * @enum {string}
       */
      status: "pending" | "in_progress" | "completed" | "failed" | "canceled";
      /**
       * Priority
       * @description The priority of this queue item
       * @default 0
       */
      priority: number;
      /**
       * Batch Id
       * @description The ID of the batch associated with this queue item
       */
      batch_id: string;
      /**
       * Session Id
       * @description The ID of the session associated with this queue item. The session doesn't exist in graph_executions until the queue item is executed.
       */
      session_id: string;
      /**
       * Error
       * @description The error message if this queue item errored
       */
      error?: string | null;
      /**
       * Created At
       * @description When this queue item was created
       */
      created_at: string;
      /**
       * Updated At
       * @description When this queue item was updated
       */
      updated_at: string;
      /**
       * Started At
       * @description When this queue item was started
       */
      started_at?: string | null;
      /**
       * Completed At
       * @description When this queue item was completed
       */
      completed_at?: string | null;
      /**
       * Queue Id
       * @description The id of the queue with which this item is associated
       */
      queue_id: string;
      /**
       * Field Values
       * @description The field values that were used for this queue item
       */
      field_values?: components["schemas"]["NodeFieldValue"][] | null;
    };
    /** SessionQueueStatus */
    SessionQueueStatus: {
      /**
       * Queue Id
       * @description The ID of the queue
       */
      queue_id: string;
      /**
       * Item Id
       * @description The current queue item id
       */
      item_id: number | null;
      /**
       * Batch Id
       * @description The current queue item's batch id
       */
      batch_id: string | null;
      /**
       * Session Id
       * @description The current queue item's session id
       */
      session_id: string | null;
      /**
       * Pending
       * @description Number of queue items with status 'pending'
       */
      pending: number;
      /**
       * In Progress
       * @description Number of queue items with status 'in_progress'
       */
      in_progress: number;
      /**
       * Completed
       * @description Number of queue items with status 'complete'
       */
      completed: number;
      /**
       * Failed
       * @description Number of queue items with status 'error'
       */
      failed: number;
      /**
       * Canceled
       * @description Number of queue items with status 'canceled'
       */
      canceled: number;
      /**
       * Total
       * @description Total number of queue items
       */
      total: number;
    };
    /**
     * Show Image
     * @description Displays a provided image using the OS image viewer, and passes it forward in the pipeline.
     */
    ShowImageInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to show */
      image?: components["schemas"]["ImageField"];
      /**
       * type
       * @default show_image
       * @constant
       */
      type: "show_image";
    };
    /** StableDiffusion1ModelCheckpointConfig */
    StableDiffusion1ModelCheckpointConfig: {
      /** Model Name */
      model_name: string;
      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
      /**
       * Model Type
       * @default main
       * @constant
       */
      model_type: "main";
      /** Path */
      path: string;
      /** Description */
      description?: string | null;
      /**
       * Model Format
       * @constant
       */
      model_format: "checkpoint";
      error?: components["schemas"]["ModelError"] | null;
      /** Vae */
      vae?: string | null;
      /** Config */
      config: string;
      variant: components["schemas"]["invokeai__backend__model_management__models__base__ModelVariantType"];
    };
    /** StableDiffusion1ModelDiffusersConfig */
    StableDiffusion1ModelDiffusersConfig: {
      /** Model Name */
      model_name: string;
      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
      /**
       * Model Type
       * @default main
       * @constant
       */
      model_type: "main";
      /** Path */
      path: string;
      /** Description */
      description?: string | null;
      /**
       * Model Format
       * @constant
       */
      model_format: "diffusers";
      error?: components["schemas"]["ModelError"] | null;
      /** Vae */
      vae?: string | null;
      variant: components["schemas"]["invokeai__backend__model_management__models__base__ModelVariantType"];
    };
    /** StableDiffusion2ModelCheckpointConfig */
    StableDiffusion2ModelCheckpointConfig: {
      /** Model Name */
      model_name: string;
      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
      /**
       * Model Type
       * @default main
       * @constant
       */
      model_type: "main";
      /** Path */
      path: string;
      /** Description */
      description?: string | null;
      /**
       * Model Format
       * @constant
       */
      model_format: "checkpoint";
      error?: components["schemas"]["ModelError"] | null;
      /** Vae */
      vae?: string | null;
      /** Config */
      config: string;
      variant: components["schemas"]["invokeai__backend__model_management__models__base__ModelVariantType"];
    };
    /** StableDiffusion2ModelDiffusersConfig */
    StableDiffusion2ModelDiffusersConfig: {
      /** Model Name */
      model_name: string;
      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
      /**
       * Model Type
       * @default main
       * @constant
       */
      model_type: "main";
      /** Path */
      path: string;
      /** Description */
      description?: string | null;
      /**
       * Model Format
       * @constant
       */
      model_format: "diffusers";
      error?: components["schemas"]["ModelError"] | null;
      /** Vae */
      vae?: string | null;
      variant: components["schemas"]["invokeai__backend__model_management__models__base__ModelVariantType"];
    };
    /** StableDiffusionXLModelCheckpointConfig */
    StableDiffusionXLModelCheckpointConfig: {
      /** Model Name */
      model_name: string;
      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
      /**
       * Model Type
       * @default main
       * @constant
       */
      model_type: "main";
      /** Path */
      path: string;
      /** Description */
      description?: string | null;
      /**
       * Model Format
       * @constant
       */
      model_format: "checkpoint";
      error?: components["schemas"]["ModelError"] | null;
      /** Vae */
      vae?: string | null;
      /** Config */
      config: string;
      variant: components["schemas"]["invokeai__backend__model_management__models__base__ModelVariantType"];
    };
    /** StableDiffusionXLModelDiffusersConfig */
    StableDiffusionXLModelDiffusersConfig: {
      /** Model Name */
      model_name: string;
      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
      /**
       * Model Type
       * @default main
       * @constant
       */
      model_type: "main";
      /** Path */
      path: string;
      /** Description */
      description?: string | null;
      /**
       * Model Format
       * @constant
       */
      model_format: "diffusers";
      error?: components["schemas"]["ModelError"] | null;
      /** Vae */
      vae?: string | null;
      variant: components["schemas"]["invokeai__backend__model_management__models__base__ModelVariantType"];
    };
    /**
     * Step Param Easing
     * @description Experimental per-step parameter easing for denoising steps
     */
    StepParamEasingInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * 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 | null;
      /**
       * Post End Value
       * @description value after easing end
       */
      post_end_value?: number | null;
      /**
       * Mirror
       * @description include mirror of easing function
       * @default false
       */
      mirror?: boolean;
      /**
       * Show Easing Plot
       * @description show easing plot
       * @default false
       */
      show_easing_plot?: boolean;
      /**
       * type
       * @default step_param_easing
       * @constant
       */
      type: "step_param_easing";
    };
    /**
     * String2Output
     * @description Base class for invocations that output two strings
     */
    String2Output: {
      /**
       * String 1
       * @description string 1
       */
      string_1: string;
      /**
       * String 2
       * @description string 2
       */
      string_2: string;
      /**
       * type
       * @default string_2_output
       * @constant
       */
      type: "string_2_output";
    };
    /**
     * String Collection Primitive
     * @description A collection of string primitive values
     */
    StringCollectionInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Collection
       * @description The collection of string values
       * @default []
       */
      collection?: string[];
      /**
       * type
       * @default string_collection
       * @constant
       */
      type: "string_collection";
    };
    /**
     * StringCollectionOutput
     * @description Base class for nodes that output a collection of strings
     */
    StringCollectionOutput: {
      /**
       * Collection
       * @description The output strings
       */
      collection: string[];
      /**
       * type
       * @default string_collection_output
       * @constant
       */
      type: "string_collection_output";
    };
    /**
     * String Primitive
     * @description A string primitive value
     */
    StringInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * Value
       * @description The string value
       * @default
       */
      value?: string;
      /**
       * type
       * @default string
       * @constant
       */
      type: "string";
    };
    /**
     * String Join
     * @description Joins string left to string right
     */
    StringJoinInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * String Left
       * @description String Left
       * @default
       */
      string_left?: string;
      /**
       * String Right
       * @description String Right
       * @default
       */
      string_right?: string;
      /**
       * type
       * @default string_join
       * @constant
       */
      type: "string_join";
    };
    /**
     * String Join Three
     * @description Joins string left to string middle to string right
     */
    StringJoinThreeInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * String Left
       * @description String Left
       * @default
       */
      string_left?: string;
      /**
       * String Middle
       * @description String Middle
       * @default
       */
      string_middle?: string;
      /**
       * String Right
       * @description String Right
       * @default
       */
      string_right?: string;
      /**
       * type
       * @default string_join_three
       * @constant
       */
      type: "string_join_three";
    };
    /**
     * StringOutput
     * @description Base class for nodes that output a single string
     */
    StringOutput: {
      /**
       * Value
       * @description The output string
       */
      value: string;
      /**
       * type
       * @default string_output
       * @constant
       */
      type: "string_output";
    };
    /**
     * StringPosNegOutput
     * @description Base class for invocations that output a positive and negative string
     */
    StringPosNegOutput: {
      /**
       * Positive String
       * @description Positive string
       */
      positive_string: string;
      /**
       * Negative String
       * @description Negative string
       */
      negative_string: string;
      /**
       * type
       * @default string_pos_neg_output
       * @constant
       */
      type: "string_pos_neg_output";
    };
    /**
     * String Replace
     * @description Replaces the search string with the replace string
     */
    StringReplaceInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * String
       * @description String to work on
       * @default
       */
      string?: string;
      /**
       * Search String
       * @description String to search for
       * @default
       */
      search_string?: string;
      /**
       * Replace String
       * @description String to replace the search
       * @default
       */
      replace_string?: string;
      /**
       * Use Regex
       * @description Use search string as a regex expression (non regex is case insensitive)
       * @default false
       */
      use_regex?: boolean;
      /**
       * type
       * @default string_replace
       * @constant
       */
      type: "string_replace";
    };
    /**
     * String Split
     * @description Splits string into two strings, based on the first occurance of the delimiter. The delimiter will be removed from the string
     */
    StringSplitInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * String
       * @description String to split
       * @default
       */
      string?: string;
      /**
       * Delimiter
       * @description Delimiter to spilt with. blank will split on the first whitespace
       * @default
       */
      delimiter?: string;
      /**
       * type
       * @default string_split
       * @constant
       */
      type: "string_split";
    };
    /**
     * String Split Negative
     * @description Splits string into two strings, inside [] goes into negative string everthing else goes into positive string. Each [ and ] character is replaced with a space
     */
    StringSplitNegInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * String
       * @description String to split
       * @default
       */
      string?: string;
      /**
       * type
       * @default string_split_neg
       * @constant
       */
      type: "string_split_neg";
    };
    /**
     * SubModelType
     * @enum {string}
     */
    SubModelType: "unet" | "text_encoder" | "text_encoder_2" | "tokenizer" | "tokenizer_2" | "vae" | "vae_decoder" | "vae_encoder" | "scheduler" | "safety_checker";
    /**
     * Subtract Integers
     * @description Subtracts two numbers
     */
    SubtractInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * A
       * @description The first number
       * @default 0
       */
      a?: number;
      /**
       * B
       * @description The second number
       * @default 0
       */
      b?: number;
      /**
       * type
       * @default sub
       * @constant
       */
      type: "sub";
    };
    /** T2IAdapterField */
    T2IAdapterField: {
      /** @description The T2I-Adapter image prompt. */
      image: components["schemas"]["ImageField"];
      /** @description The T2I-Adapter model to use. */
      t2i_adapter_model: components["schemas"]["T2IAdapterModelField"];
      /**
       * Weight
       * @description The weight given to the T2I-Adapter
       * @default 1
       */
      weight?: number | number[];
      /**
       * Begin Step Percent
       * @description When the T2I-Adapter is first applied (% of total steps)
       * @default 0
       */
      begin_step_percent?: number;
      /**
       * End Step Percent
       * @description When the T2I-Adapter is last applied (% of total steps)
       * @default 1
       */
      end_step_percent?: number;
      /**
       * Resize Mode
       * @description The resize mode to use
       * @default just_resize
       * @enum {string}
       */
      resize_mode?: "just_resize" | "crop_resize" | "fill_resize" | "just_resize_simple";
    };
    /**
     * T2I-Adapter
     * @description Collects T2I-Adapter info to pass to other nodes.
     */
    T2IAdapterInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The IP-Adapter image prompt. */
      image?: components["schemas"]["ImageField"];
      /**
       * T2I-Adapter Model
       * @description The T2I-Adapter model.
       */
      t2i_adapter_model: components["schemas"]["T2IAdapterModelField"];
      /**
       * Weight
       * @description The weight given to the T2I-Adapter
       * @default 1
       */
      weight?: number | number[];
      /**
       * Begin Step Percent
       * @description When the T2I-Adapter is first applied (% of total steps)
       * @default 0
       */
      begin_step_percent?: number;
      /**
       * End Step Percent
       * @description When the T2I-Adapter is last applied (% of total steps)
       * @default 1
       */
      end_step_percent?: number;
      /**
       * Resize Mode
       * @description The resize mode applied to the T2I-Adapter input image so that it matches the target output size.
       * @default just_resize
       * @enum {string}
       */
      resize_mode?: "just_resize" | "crop_resize" | "fill_resize" | "just_resize_simple";
      /**
       * type
       * @default t2i_adapter
       * @constant
       */
      type: "t2i_adapter";
    };
    /** T2IAdapterModelDiffusersConfig */
    T2IAdapterModelDiffusersConfig: {
      /** Model Name */
      model_name: string;
      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
      /**
       * Model Type
       * @default t2i_adapter
       * @constant
       */
      model_type: "t2i_adapter";
      /** Path */
      path: string;
      /** Description */
      description?: string | null;
      /**
       * Model Format
       * @constant
       */
      model_format: "diffusers";
      error?: components["schemas"]["ModelError"] | null;
    };
    /** T2IAdapterModelField */
    T2IAdapterModelField: {
      /**
       * Model Name
       * @description Name of the T2I-Adapter model
       */
      model_name: string;
      /** @description Base model */
      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
    };
    /** T2IAdapterOutput */
    T2IAdapterOutput: {
      /**
       * T2I Adapter
       * @description T2I-Adapter(s) to apply
       */
      t2i_adapter: components["schemas"]["T2IAdapterField"];
      /**
       * type
       * @default t2i_adapter_output
       * @constant
       */
      type: "t2i_adapter_output";
    };
    /**
     * T2IConfig
     * @description Model config for T2I.
     */
    T2IConfig: {
      /** Path */
      path: string;
      /** Name */
      name: string;
      base: components["schemas"]["invokeai__backend__model_manager__config__BaseModelType"];
      /**
       * Type
       * @default t2i_adapter
       * @constant
       */
      type?: "t2i_adapter";
      /**
       * Format
       * @constant
       */
      format: "diffusers";
      /**
       * Key
       * @description unique key for model
       * @default <NOKEY>
       */
      key?: string;
      /**
       * Original Hash
       * @description original fasthash of model contents
       */
      original_hash?: string | null;
      /**
       * Current Hash
       * @description current fasthash of model contents
       */
      current_hash?: string | null;
      /** Description */
      description?: string | null;
      /**
       * Source
       * @description Model download source (URL or repo_id)
       */
      source?: string | null;
    };
    /**
     * TextualInversionConfig
     * @description Model config for textual inversion embeddings.
     */
    TextualInversionConfig: {
      /** Path */
      path: string;
      /** Name */
      name: string;
      base: components["schemas"]["invokeai__backend__model_manager__config__BaseModelType"];
      /**
       * Type
       * @default embedding
       * @constant
       */
      type?: "embedding";
      /**
       * Format
       * @enum {string}
       */
      format: "embedding_file" | "embedding_folder";
      /**
       * Key
       * @description unique key for model
       * @default <NOKEY>
       */
      key?: string;
      /**
       * Original Hash
       * @description original fasthash of model contents
       */
      original_hash?: string | null;
      /**
       * Current Hash
       * @description current fasthash of model contents
       */
      current_hash?: string | null;
      /** Description */
      description?: string | null;
      /**
       * Source
       * @description Model download source (URL or repo_id)
       */
      source?: string | null;
    };
    /** TextualInversionModelConfig */
    TextualInversionModelConfig: {
      /** Model Name */
      model_name: string;
      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
      /**
       * Model Type
       * @default embedding
       * @constant
       */
      model_type: "embedding";
      /** Path */
      path: string;
      /** Description */
      description?: string | null;
      /** Model Format */
      model_format: null;
      error?: components["schemas"]["ModelError"] | null;
    };
    /**
     * Tile Resample Processor
     * @description Tile resampler processor
     */
    TileResamplerProcessorInvocation: {
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to process */
      image?: components["schemas"]["ImageField"];
      /**
       * Down Sampling Rate
       * @description Down sampling rate
       * @default 1
       */
      down_sampling_rate?: number;
      /**
       * type
       * @default tile_image_processor
       * @constant
       */
      type: "tile_image_processor";
    };
    /** UNetField */
    UNetField: {
      /** @description Info to load unet submodel */
      unet: components["schemas"]["ModelInfo"];
      /** @description Info to load scheduler submodel */
      scheduler: components["schemas"]["ModelInfo"];
      /**
       * Loras
       * @description Loras to apply on model loading
       */
      loras: components["schemas"]["LoraInfo"][];
      /**
       * Seamless Axes
       * @description Axes("x" and "y") to which apply seamless
       */
      seamless_axes?: string[];
      /** @description FreeU configuration */
      freeu_config?: components["schemas"]["FreeUConfig"] | null;
    };
    /**
     * UNetOutput
     * @description Base class for invocations that output a UNet field
     */
    UNetOutput: {
      /**
       * UNet
       * @description UNet (scheduler, LoRAs)
       */
      unet: components["schemas"]["UNetField"];
      /**
       * type
       * @default unet_output
       * @constant
       */
      type: "unet_output";
    };
    /** Upscaler */
    Upscaler: {
      /**
       * Upscaling Method
       * @description Name of upscaling method
       */
      upscaling_method: string;
      /**
       * Upscaling Models
       * @description List of upscaling models for this method
       */
      upscaling_models: string[];
    };
    /**
     * VAEModelField
     * @description Vae model field
     */
    VAEModelField: {
      /**
       * Model Name
       * @description Name of the model
       */
      model_name: string;
      /** @description Base model */
      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
    };
    /**
     * VAEOutput
     * @description Base class for invocations that output a VAE field
     */
    VAEOutput: {
      /**
       * VAE
       * @description VAE
       */
      vae: components["schemas"]["VaeField"];
      /**
       * type
       * @default vae_output
       * @constant
       */
      type: "vae_output";
    };
    /**
     * VaeCheckpointConfig
     * @description Model config for standalone VAE models.
     */
    VaeCheckpointConfig: {
      /** Path */
      path: string;
      /** Name */
      name: string;
      base: components["schemas"]["invokeai__backend__model_manager__config__BaseModelType"];
      /**
       * Type
       * @default vae
       * @constant
       */
      type?: "vae";
      /**
       * Format
       * @default checkpoint
       * @constant
       */
      format?: "checkpoint";
      /**
       * Key
       * @description unique key for model
       * @default <NOKEY>
       */
      key?: string;
      /**
       * Original Hash
       * @description original fasthash of model contents
       */
      original_hash?: string | null;
      /**
       * Current Hash
       * @description current fasthash of model contents
       */
      current_hash?: string | null;
      /** Description */
      description?: string | null;
      /**
       * Source
       * @description Model download source (URL or repo_id)
       */
      source?: string | null;
    };
    /**
     * VaeDiffusersConfig
     * @description Model config for standalone VAE models (diffusers version).
     */
    VaeDiffusersConfig: {
      /** Path */
      path: string;
      /** Name */
      name: string;
      base: components["schemas"]["invokeai__backend__model_manager__config__BaseModelType"];
      /**
       * Type
       * @default vae
       * @constant
       */
      type?: "vae";
      /**
       * Format
       * @default diffusers
       * @constant
       */
      format?: "diffusers";
      /**
       * Key
       * @description unique key for model
       * @default <NOKEY>
       */
      key?: string;
      /**
       * Original Hash
       * @description original fasthash of model contents
       */
      original_hash?: string | null;
      /**
       * Current Hash
       * @description current fasthash of model contents
       */
      current_hash?: string | null;
      /** Description */
      description?: string | null;
      /**
       * Source
       * @description Model download source (URL or repo_id)
       */
      source?: string | null;
    };
    /** VaeField */
    VaeField: {
      /** @description Info to load vae submodel */
      vae: components["schemas"]["ModelInfo"];
      /**
       * Seamless Axes
       * @description Axes("x" and "y") to which apply seamless
       */
      seamless_axes?: string[];
    };
    /**
     * VAE
     * @description Loads a VAE model, outputting a VaeLoaderOutput
     */
    VaeLoaderInvocation: {
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /**
       * VAE
       * @description VAE model to load
       */
      vae_model: components["schemas"]["VAEModelField"];
      /**
       * type
       * @default vae_loader
       * @constant
       */
      type: "vae_loader";
    };
    /** VaeModelConfig */
    VaeModelConfig: {
      /** Model Name */
      model_name: string;
      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
      /**
       * Model Type
       * @default vae
       * @constant
       */
      model_type: "vae";
      /** Path */
      path: string;
      /** Description */
      description?: string | null;
      model_format: components["schemas"]["VaeModelFormat"];
      error?: components["schemas"]["ModelError"] | null;
    };
    /**
     * VaeModelFormat
     * @enum {string}
     */
    VaeModelFormat: "checkpoint" | "diffusers";
    /** ValidationError */
    ValidationError: {
      /** Location */
      loc: (string | number)[];
      /** Message */
      msg: string;
      /** Error Type */
      type: string;
    };
    /**
     * WorkflowField
     * @description Pydantic model for workflows with custom root of type dict[str, Any].
     * Workflows are stored without a strict schema.
     */
    WorkflowField: Record<string, never>;
    /**
     * Zoe (Depth) Processor
     * @description Applies Zoe depth processing to image
     */
    ZoeDepthImageProcessorInvocation: {
      /** @description Optional workflow to be saved with the image */
      workflow?: components["schemas"]["WorkflowField"] | null;
      /** @description Optional metadata to be saved with the image */
      metadata?: components["schemas"]["MetadataField"] | null;
      /**
       * Id
       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this is an intermediate invocation.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Use Cache
       * @description Whether or not to use the cache
       * @default true
       */
      use_cache?: boolean;
      /** @description The image to process */
      image?: components["schemas"]["ImageField"];
      /**
       * type
       * @default zoe_depth_image_processor
       * @constant
       */
      type: "zoe_depth_image_processor";
    };
    /**
     * ModelsList
     * @description Return list of configs.
     */
    invokeai__app__api__routers__model_records__ModelsList: {
      /** Models */
      models: ((components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"]) | (components["schemas"]["ONNXSD1Config"] | components["schemas"]["ONNXSD2Config"]) | (components["schemas"]["VaeDiffusersConfig"] | components["schemas"]["VaeCheckpointConfig"]) | (components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"]) | components["schemas"]["LoRAConfig"] | components["schemas"]["TextualInversionConfig"] | components["schemas"]["IPAdapterConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"] | components["schemas"]["T2IConfig"])[];
    };
    /** ModelsList */
    invokeai__app__api__routers__models__ModelsList: {
      /** Models */
      models: (components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["T2IAdapterModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"])[];
    };
    /**
     * BaseModelType
     * @enum {string}
     */
    invokeai__backend__model_management__models__base__BaseModelType: "any" | "sd-1" | "sd-2" | "sdxl" | "sdxl-refiner";
    /**
     * ModelType
     * @enum {string}
     */
    invokeai__backend__model_management__models__base__ModelType: "onnx" | "main" | "vae" | "lora" | "controlnet" | "embedding" | "ip_adapter" | "clip_vision" | "t2i_adapter";
    /**
     * ModelVariantType
     * @enum {string}
     */
    invokeai__backend__model_management__models__base__ModelVariantType: "normal" | "inpaint" | "depth";
    /**
     * SchedulerPredictionType
     * @enum {string}
     */
    invokeai__backend__model_management__models__base__SchedulerPredictionType: "epsilon" | "v_prediction" | "sample";
    /**
     * BaseModelType
     * @description Base model type.
     * @enum {string}
     */
    invokeai__backend__model_manager__config__BaseModelType: "any" | "sd-1" | "sd-2" | "sdxl" | "sdxl-refiner";
    /**
     * ModelType
     * @description Model type.
     * @enum {string}
     */
    invokeai__backend__model_manager__config__ModelType: "onnx" | "main" | "vae" | "lora" | "controlnet" | "embedding" | "ip_adapter" | "clip_vision" | "t2i_adapter";
    /**
     * ModelVariantType
     * @description Variant type.
     * @enum {string}
     */
    invokeai__backend__model_manager__config__ModelVariantType: "normal" | "inpaint" | "depth";
    /**
     * SchedulerPredictionType
     * @description Scheduler prediction type.
     * @enum {string}
     */
    invokeai__backend__model_manager__config__SchedulerPredictionType: "epsilon" | "v_prediction" | "sample";
    /**
     * FieldKind
     * @description The kind of field.
     * - `Input`: An input field on a node.
     * - `Output`: An output field on a node.
     * - `Internal`: A field which is treated as an input, but cannot be used in node definitions. Metadata is
     * one example. It is provided to nodes via the WithMetadata class, and we want to reserve the field name
     * "metadata" for this on all nodes. `FieldKind` is used to short-circuit the field name validation logic,
     * allowing "metadata" for that field.
     * - `NodeAttribute`: The field is a node attribute. These are fields which are not inputs or outputs,
     * but which are used to store information about the node. For example, the `id` and `type` fields are node
     * attributes.
     *
     * The presence of this in `json_schema_extra["field_kind"]` is used when initializing node schemas on app
     * startup, and when generating the OpenAPI schema for the workflow editor.
     * @enum {string}
     */
    FieldKind: "input" | "output" | "internal" | "node_attribute";
    /**
     * Input
     * @description The type of input a field accepts.
     * - `Input.Direct`: The field must have its value provided directly, when the invocation and field       are instantiated.
     * - `Input.Connection`: The field must have its value provided by a connection.
     * - `Input.Any`: The field may have its value provided either directly or by a connection.
     * @enum {string}
     */
    Input: "connection" | "direct" | "any";
    /**
     * InputFieldJSONSchemaExtra
     * @description Extra attributes to be added to input fields and their OpenAPI schema. Used during graph execution,
     * and by the workflow editor during schema parsing and UI rendering.
     */
    InputFieldJSONSchemaExtra: {
      input: components["schemas"]["Input"];
      /** Orig Required */
      orig_required: boolean;
      field_kind: components["schemas"]["FieldKind"];
      /**
       * Default
       * @default null
       */
      default: unknown;
      /**
       * Orig Default
       * @default null
       */
      orig_default: unknown;
      /**
       * Ui Hidden
       * @default false
       */
      ui_hidden: boolean;
      /** @default null */
      ui_type: components["schemas"]["UIType"] | null;
      /** @default null */
      ui_component: components["schemas"]["UIComponent"] | null;
      /**
       * Ui Order
       * @default null
       */
      ui_order: number | null;
      /**
       * Ui Choice Labels
       * @default null
       */
      ui_choice_labels: {
        [key: string]: string;
      } | null;
    };
    /**
     * OutputFieldJSONSchemaExtra
     * @description Extra attributes to be added to input fields and their OpenAPI schema. Used by the workflow editor
     * during schema parsing and UI rendering.
     */
    OutputFieldJSONSchemaExtra: {
      field_kind: components["schemas"]["FieldKind"];
      /** Ui Hidden */
      ui_hidden: boolean;
      ui_type: components["schemas"]["UIType"] | null;
      /** Ui Order */
      ui_order: number | null;
    };
    /**
     * UIComponent
     * @description The type of UI component to use for a field, used to override the default components, which are
     * inferred from the field type.
     * @enum {string}
     */
    UIComponent: "none" | "textarea" | "slider";
    /**
     * UIConfigBase
     * @description Provides additional node configuration to the UI.
     * This is used internally by the @invocation decorator logic. Do not use this directly.
     */
    UIConfigBase: {
      /**
       * Tags
       * @description The node's tags
       */
      tags: string[] | null;
      /**
       * Title
       * @description The node's display name
       * @default null
       */
      title: string | null;
      /**
       * Category
       * @description The node's category
       * @default null
       */
      category: string | null;
      /**
       * Version
       * @description The node's version. Should be a valid semver string e.g. "1.0.0" or "3.8.13".
       */
      version: string;
      /**
       * Node Pack
       * @description Whether or not this is a custom node
       * @default null
       */
      node_pack: string | null;
    };
    /**
     * UIType
     * @description Type hints for the UI for situations in which the field type is not enough to infer the correct UI type.
     *
     * - Model Fields
     * The most common node-author-facing use will be for model fields. Internally, there is no difference
     * between SD-1, SD-2 and SDXL model fields - they all use the class `MainModelField`. To ensure the
     * base-model-specific UI is rendered, use e.g. `ui_type=UIType.SDXLMainModelField` to indicate that
     * the field is an SDXL main model field.
     *
     * - Any Field
     * We cannot infer the usage of `typing.Any` via schema parsing, so you *must* use `ui_type=UIType.Any` to
     * indicate that the field accepts any type. Use with caution. This cannot be used on outputs.
     *
     * - Scheduler Field
     * Special handling in the UI is needed for this field, which otherwise would be parsed as a plain enum field.
     *
     * - Internal Fields
     * Similar to the Any Field, the `collect` and `iterate` nodes make use of `typing.Any`. To facilitate
     * handling these types in the client, we use `UIType._Collection` and `UIType._CollectionItem`. These
     * should not be used by node authors.
     *
     * - DEPRECATED Fields
     * These types are deprecated and should not be used by node authors. A warning will be logged if one is
     * used, and the type will be ignored. They are included here for backwards compatibility.
     * @enum {string}
     */
    UIType: "SDXLMainModelField" | "SDXLRefinerModelField" | "ONNXModelField" | "VAEModelField" | "LoRAModelField" | "ControlNetModelField" | "IPAdapterModelField" | "SchedulerField" | "AnyField" | "CollectionField" | "CollectionItemField" | "DEPRECATED_Boolean" | "DEPRECATED_Color" | "DEPRECATED_Conditioning" | "DEPRECATED_Control" | "DEPRECATED_Float" | "DEPRECATED_Image" | "DEPRECATED_Integer" | "DEPRECATED_Latents" | "DEPRECATED_String" | "DEPRECATED_BooleanCollection" | "DEPRECATED_ColorCollection" | "DEPRECATED_ConditioningCollection" | "DEPRECATED_ControlCollection" | "DEPRECATED_FloatCollection" | "DEPRECATED_ImageCollection" | "DEPRECATED_IntegerCollection" | "DEPRECATED_LatentsCollection" | "DEPRECATED_StringCollection" | "DEPRECATED_BooleanPolymorphic" | "DEPRECATED_ColorPolymorphic" | "DEPRECATED_ConditioningPolymorphic" | "DEPRECATED_ControlPolymorphic" | "DEPRECATED_FloatPolymorphic" | "DEPRECATED_ImagePolymorphic" | "DEPRECATED_IntegerPolymorphic" | "DEPRECATED_LatentsPolymorphic" | "DEPRECATED_StringPolymorphic" | "DEPRECATED_MainModel" | "DEPRECATED_UNet" | "DEPRECATED_Vae" | "DEPRECATED_CLIP" | "DEPRECATED_Collection" | "DEPRECATED_CollectionItem" | "DEPRECATED_Enum" | "DEPRECATED_WorkflowField" | "DEPRECATED_IsIntermediate" | "DEPRECATED_BoardField" | "DEPRECATED_MetadataItem" | "DEPRECATED_MetadataItemCollection" | "DEPRECATED_MetadataItemPolymorphic" | "DEPRECATED_MetadataDict";
    /**
     * ControlNetModelFormat
     * @description An enumeration.
     * @enum {string}
     */
    ControlNetModelFormat: "checkpoint" | "diffusers";
    /**
     * T2IAdapterModelFormat
     * @description An enumeration.
     * @enum {string}
     */
    T2IAdapterModelFormat: "diffusers";
    /**
     * StableDiffusionXLModelFormat
     * @description An enumeration.
     * @enum {string}
     */
    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
    /**
     * StableDiffusion2ModelFormat
     * @description An enumeration.
     * @enum {string}
     */
    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
    /**
     * StableDiffusion1ModelFormat
     * @description An enumeration.
     * @enum {string}
     */
    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
    /**
     * IPAdapterModelFormat
     * @description An enumeration.
     * @enum {string}
     */
    IPAdapterModelFormat: "invokeai";
    /**
     * StableDiffusionOnnxModelFormat
     * @description An enumeration.
     * @enum {string}
     */
    StableDiffusionOnnxModelFormat: "olive" | "onnx";
    /**
     * CLIPVisionModelFormat
     * @description An enumeration.
     * @enum {string}
     */
    CLIPVisionModelFormat: "diffusers";
  };
  responses: never;
  parameters: never;
  requestBodies: never;
  headers: never;
  pathItems: never;
};

export type $defs = Record<string, never>;

export type external = Record<string, never>;

export type operations = {

  /**
   * 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: {
        content: never;
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Parse Dynamicprompts
   * @description Creates a batch process
   */
  parse_dynamicprompts: {
    requestBody: {
      content: {
        "application/json": components["schemas"]["Body_parse_dynamicprompts"];
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["DynamicPromptsResponse"];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * List Models
   * @description Gets a list of models
   */
  list_models: {
    parameters: {
      query?: {
        /** @description Base models to include */
        base_models?: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"][] | null;
        /** @description The type of model to get */
        model_type?: components["schemas"]["invokeai__backend__model_management__models__base__ModelType"] | null;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["invokeai__app__api__routers__models__ModelsList"];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Delete Model
   * @description Delete Model
   */
  del_model: {
    parameters: {
      path: {
        /** @description Base model */
        base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
        /** @description The type of model */
        model_type: components["schemas"]["invokeai__backend__model_management__models__base__ModelType"];
        /** @description model name */
        model_name: string;
      };
    };
    responses: {
      /** @description Model deleted successfully */
      204: {
        content: never;
      };
      /** @description Model not found */
      404: {
        content: never;
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Update Model
   * @description Update model contents with a new config. If the model name or base fields are changed, then the model is renamed.
   */
  update_model: {
    parameters: {
      path: {
        /** @description Base model */
        base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
        /** @description The type of model */
        model_type: components["schemas"]["invokeai__backend__model_management__models__base__ModelType"];
        /** @description model name */
        model_name: string;
      };
    };
    requestBody: {
      content: {
        "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["T2IAdapterModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
      };
    };
    responses: {
      /** @description The model was updated successfully */
      200: {
        content: {
          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["T2IAdapterModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
        };
      };
      /** @description Bad request */
      400: {
        content: never;
      };
      /** @description The model could not be found */
      404: {
        content: never;
      };
      /** @description There is already a model corresponding to the new name */
      409: {
        content: never;
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Import Model
   * @description Add a model using its local path, repo_id, or remote URL. Model characteristics will be probed and configured automatically
   */
  import_model: {
    requestBody: {
      content: {
        "application/json": components["schemas"]["Body_import_model"];
      };
    };
    responses: {
      /** @description The model imported successfully */
      201: {
        content: {
          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["T2IAdapterModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
        };
      };
      /** @description The model could not be found */
      404: {
        content: never;
      };
      /** @description There is already a model corresponding to this path or repo_id */
      409: {
        content: never;
      };
      /** @description Unrecognized file/folder format */
      415: {
        content: never;
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
      /** @description The model appeared to import successfully, but could not be found in the model manager */
      424: {
        content: never;
      };
    };
  };
  /**
   * Add Model
   * @description Add a model using the configuration information appropriate for its type. Only local models can be added by path
   */
  add_model: {
    requestBody: {
      content: {
        "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["T2IAdapterModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
      };
    };
    responses: {
      /** @description The model added successfully */
      201: {
        content: {
          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["T2IAdapterModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
        };
      };
      /** @description The model could not be found */
      404: {
        content: never;
      };
      /** @description There is already a model corresponding to this path or repo_id */
      409: {
        content: never;
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
      /** @description The model appeared to add successfully, but could not be found in the model manager */
      424: {
        content: never;
      };
    };
  };
  /**
   * Convert Model
   * @description Convert a checkpoint model into a diffusers model, optionally saving to the indicated destination directory, or `models` if none.
   */
  convert_model: {
    parameters: {
      query?: {
        /** @description Save the converted model to the designated directory */
        convert_dest_directory?: string | null;
      };
      path: {
        /** @description Base model */
        base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
        /** @description The type of model */
        model_type: components["schemas"]["invokeai__backend__model_management__models__base__ModelType"];
        /** @description model name */
        model_name: string;
      };
    };
    responses: {
      /** @description Model converted successfully */
      200: {
        content: {
          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["T2IAdapterModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
        };
      };
      /** @description Bad request */
      400: {
        content: never;
      };
      /** @description Model not found */
      404: {
        content: never;
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /** Search For Models */
  search_for_models: {
    parameters: {
      query: {
        /** @description Directory path to search for models */
        search_path: string;
      };
    };
    responses: {
      /** @description Directory searched successfully */
      200: {
        content: {
          "application/json": string[];
        };
      };
      /** @description Invalid directory path */
      404: {
        content: never;
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * List Ckpt Configs
   * @description Return a list of the legacy checkpoint configuration files stored in `ROOT/configs/stable-diffusion`, relative to ROOT.
   */
  list_ckpt_configs: {
    responses: {
      /** @description paths retrieved successfully */
      200: {
        content: {
          "application/json": string[];
        };
      };
    };
  };
  /**
   * Sync To Config
   * @description Call after making changes to models.yaml, autoimport directories or models directory to synchronize
   * in-memory data structures with disk data structures.
   */
  sync_to_config: {
    responses: {
      /** @description synchronization successful */
      201: {
        content: {
          "application/json": boolean;
        };
      };
    };
  };
  /**
   * Merge Models
   * @description Convert a checkpoint model into a diffusers model
   */
  merge_models: {
    parameters: {
      path: {
        /** @description Base model */
        base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
      };
    };
    requestBody: {
      content: {
        "application/json": components["schemas"]["Body_merge_models"];
      };
    };
    responses: {
      /** @description Model converted successfully */
      200: {
        content: {
          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["T2IAdapterModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
        };
      };
      /** @description Incompatible models */
      400: {
        content: never;
      };
      /** @description One or more models not found */
      404: {
        content: never;
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * List Model Records
   * @description Get a list of models.
   */
  list_model_records: {
    parameters: {
      query?: {
        /** @description Base models to include */
        base_models?: components["schemas"]["invokeai__backend__model_manager__config__BaseModelType"][] | null;
        /** @description The type of model to get */
        model_type?: components["schemas"]["invokeai__backend__model_manager__config__ModelType"] | null;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["invokeai__app__api__routers__model_records__ModelsList"];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Get Model Record
   * @description Get a model record
   */
  get_model_record: {
    parameters: {
      path: {
        /** @description Key of the model record to fetch. */
        key: string;
      };
    };
    responses: {
      /** @description Success */
      200: {
        content: {
          "application/json": (components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"]) | (components["schemas"]["ONNXSD1Config"] | components["schemas"]["ONNXSD2Config"]) | (components["schemas"]["VaeDiffusersConfig"] | components["schemas"]["VaeCheckpointConfig"]) | (components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"]) | components["schemas"]["LoRAConfig"] | components["schemas"]["TextualInversionConfig"] | components["schemas"]["IPAdapterConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"] | components["schemas"]["T2IConfig"];
        };
      };
      /** @description Bad request */
      400: {
        content: never;
      };
      /** @description The model could not be found */
      404: {
        content: never;
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Del Model Record
   * @description Delete Model
   */
  del_model_record: {
    parameters: {
      path: {
        /** @description Unique key of model to remove from model registry. */
        key: string;
      };
    };
    responses: {
      /** @description Model deleted successfully */
      204: {
        content: never;
      };
      /** @description Model not found */
      404: {
        content: never;
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Update Model Record
   * @description Update model contents with a new config. If the model name or base fields are changed, then the model is renamed.
   */
  update_model_record: {
    parameters: {
      path: {
        /** @description Unique key of model */
        key: string;
      };
    };
    requestBody: {
      content: {
        "application/json": (components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"]) | (components["schemas"]["ONNXSD1Config"] | components["schemas"]["ONNXSD2Config"]) | (components["schemas"]["VaeDiffusersConfig"] | components["schemas"]["VaeCheckpointConfig"]) | (components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"]) | components["schemas"]["LoRAConfig"] | components["schemas"]["TextualInversionConfig"] | components["schemas"]["IPAdapterConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"] | components["schemas"]["T2IConfig"];
      };
    };
    responses: {
      /** @description The model was updated successfully */
      200: {
        content: {
          "application/json": (components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"]) | (components["schemas"]["ONNXSD1Config"] | components["schemas"]["ONNXSD2Config"]) | (components["schemas"]["VaeDiffusersConfig"] | components["schemas"]["VaeCheckpointConfig"]) | (components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"]) | components["schemas"]["LoRAConfig"] | components["schemas"]["TextualInversionConfig"] | components["schemas"]["IPAdapterConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"] | components["schemas"]["T2IConfig"];
        };
      };
      /** @description Bad request */
      400: {
        content: never;
      };
      /** @description The model could not be found */
      404: {
        content: never;
      };
      /** @description There is already a model corresponding to the new name */
      409: {
        content: never;
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Add Model Record
   * @description Add a model using the configuration information appropriate for its type.
   */
  add_model_record: {
    requestBody: {
      content: {
        "application/json": (components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"]) | (components["schemas"]["ONNXSD1Config"] | components["schemas"]["ONNXSD2Config"]) | (components["schemas"]["VaeDiffusersConfig"] | components["schemas"]["VaeCheckpointConfig"]) | (components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"]) | components["schemas"]["LoRAConfig"] | components["schemas"]["TextualInversionConfig"] | components["schemas"]["IPAdapterConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"] | components["schemas"]["T2IConfig"];
      };
    };
    responses: {
      /** @description The model added successfully */
      201: {
        content: {
          "application/json": (components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"]) | (components["schemas"]["ONNXSD1Config"] | components["schemas"]["ONNXSD2Config"]) | (components["schemas"]["VaeDiffusersConfig"] | components["schemas"]["VaeCheckpointConfig"]) | (components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"]) | components["schemas"]["LoRAConfig"] | components["schemas"]["TextualInversionConfig"] | components["schemas"]["IPAdapterConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"] | components["schemas"]["T2IConfig"];
        };
      };
      /** @description There is already a model corresponding to this path or repo_id */
      409: {
        content: never;
      };
      /** @description Unrecognized file/folder format */
      415: {
        content: never;
      };
      /** @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 board to add this image to, if any */
        board_id?: string | null;
        /** @description The session ID associated with this upload, if any */
        session_id?: string | null;
        /** @description Whether to crop the image */
        crop_visible?: boolean | null;
      };
    };
    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: {
        content: never;
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Get Image Dto
   * @description Gets an image's DTO
   */
  get_image_dto: {
    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"];
        };
      };
    };
  };
  /**
   * 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 Intermediates Count
   * @description Gets the count of intermediate images
   */
  get_intermediates_count: {
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": number;
        };
      };
    };
  };
  /**
   * Clear Intermediates
   * @description Clears all intermediates
   */
  clear_intermediates: {
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": number;
        };
      };
    };
  };
  /**
   * 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"]["MetadataField"] | null;
        };
      };
      /** @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: {
        content: never;
      };
      /** @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: {
        content: 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 Image Dtos
   * @description Gets a list of image DTOs
   */
  list_image_dtos: {
    parameters: {
      query?: {
        /** @description The origin of images to list. */
        image_origin?: components["schemas"]["ResourceOrigin"] | null;
        /** @description The categories of image to include. */
        categories?: components["schemas"]["ImageCategory"][] | null;
        /** @description Whether to list intermediate images. */
        is_intermediate?: boolean | null;
        /** @description The board id to filter by. Use 'none' to find images without a board. */
        board_id?: string | null;
        /** @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"];
        };
      };
    };
  };
  /** Delete Images From List */
  delete_images_from_list: {
    requestBody: {
      content: {
        "application/json": components["schemas"]["Body_delete_images_from_list"];
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["DeleteImagesFromListResult"];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /** Star Images In List */
  star_images_in_list: {
    requestBody: {
      content: {
        "application/json": components["schemas"]["Body_star_images_in_list"];
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["ImagesUpdatedFromListResult"];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /** Unstar Images In List */
  unstar_images_in_list: {
    requestBody: {
      content: {
        "application/json": components["schemas"]["Body_unstar_images_in_list"];
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["ImagesUpdatedFromListResult"];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /** Download Images From List */
  download_images_from_list: {
    requestBody: {
      content: {
        "application/json": components["schemas"]["Body_download_images_from_list"];
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["ImagesDownloaded"];
        };
      };
      /** @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 | null;
        /** @description The page offset */
        offset?: number | null;
        /** @description The number of boards per page */
        limit?: number | null;
      };
    };
    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: {
      query?: {
        /** @description Permanently delete all images on the board */
        include_images?: boolean | null;
      };
      path: {
        /** @description The id of board to delete */
        board_id: string;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["DeleteBoardResult"];
        };
      };
      /** @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"];
        };
      };
    };
  };
  /**
   * List All Board Image Names
   * @description Gets a list of images for a board
   */
  list_all_board_image_names: {
    parameters: {
      path: {
        /** @description The id of the board */
        board_id: string;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": string[];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Add Image To Board
   * @description Creates a board_image
   */
  add_image_to_board: {
    requestBody: {
      content: {
        "application/json": components["schemas"]["Body_add_image_to_board"];
      };
    };
    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 Image From Board
   * @description Removes an image from its board, if it had one
   */
  remove_image_from_board: {
    requestBody: {
      content: {
        "application/json": components["schemas"]["Body_remove_image_from_board"];
      };
    };
    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"];
        };
      };
    };
  };
  /**
   * Add Images To Board
   * @description Adds a list of images to a board
   */
  add_images_to_board: {
    requestBody: {
      content: {
        "application/json": components["schemas"]["Body_add_images_to_board"];
      };
    };
    responses: {
      /** @description Images were added to board successfully */
      201: {
        content: {
          "application/json": components["schemas"]["AddImagesToBoardResult"];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Remove Images From Board
   * @description Removes a list of images from their board, if they had one
   */
  remove_images_from_board: {
    requestBody: {
      content: {
        "application/json": components["schemas"]["Body_remove_images_from_board"];
      };
    };
    responses: {
      /** @description Images were removed from board successfully */
      201: {
        content: {
          "application/json": components["schemas"]["RemoveImagesFromBoardResult"];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /** Get Version */
  app_version: {
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["AppVersion"];
        };
      };
    };
  };
  /** Get Config */
  get_config: {
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["AppConfig"];
        };
      };
    };
  };
  /**
   * Get Log Level
   * @description Returns the log level
   */
  get_log_level: {
    responses: {
      /** @description The operation was successful */
      200: {
        content: {
          "application/json": components["schemas"]["LogLevel"];
        };
      };
    };
  };
  /**
   * Set Log Level
   * @description Sets the log verbosity level
   */
  set_log_level: {
    requestBody: {
      content: {
        "application/json": components["schemas"]["LogLevel"];
      };
    };
    responses: {
      /** @description The operation was successful */
      200: {
        content: {
          "application/json": components["schemas"]["LogLevel"];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Clear Invocation Cache
   * @description Clears the invocation cache
   */
  clear_invocation_cache: {
    responses: {
      /** @description The operation was successful */
      200: {
        content: {
          "application/json": unknown;
        };
      };
    };
  };
  /**
   * Enable Invocation Cache
   * @description Clears the invocation cache
   */
  enable_invocation_cache: {
    responses: {
      /** @description The operation was successful */
      200: {
        content: {
          "application/json": unknown;
        };
      };
    };
  };
  /**
   * Disable Invocation Cache
   * @description Clears the invocation cache
   */
  disable_invocation_cache: {
    responses: {
      /** @description The operation was successful */
      200: {
        content: {
          "application/json": unknown;
        };
      };
    };
  };
  /**
   * Get Invocation Cache Status
   * @description Clears the invocation cache
   */
  get_invocation_cache_status: {
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["InvocationCacheStatus"];
        };
      };
    };
  };
  /**
   * Enqueue Batch
   * @description Processes a batch and enqueues the output graphs for execution.
   */
  enqueue_batch: {
    parameters: {
      path: {
        /** @description The queue id to perform this operation on */
        queue_id: string;
      };
    };
    requestBody: {
      content: {
        "application/json": components["schemas"]["Body_enqueue_batch"];
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["EnqueueBatchResult"];
        };
      };
      /** @description Created */
      201: {
        content: {
          "application/json": components["schemas"]["EnqueueBatchResult"];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * List Queue Items
   * @description Gets all queue items (without graphs)
   */
  list_queue_items: {
    parameters: {
      query?: {
        /** @description The number of items to fetch */
        limit?: number;
        /** @description The status of items to fetch */
        status?: ("pending" | "in_progress" | "completed" | "failed" | "canceled") | null;
        /** @description The pagination cursor */
        cursor?: number | null;
        /** @description The pagination cursor priority */
        priority?: number;
      };
      path: {
        /** @description The queue id to perform this operation on */
        queue_id: string;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["CursorPaginatedResults_SessionQueueItemDTO_"];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Resume
   * @description Resumes session processor
   */
  resume: {
    parameters: {
      path: {
        /** @description The queue id to perform this operation on */
        queue_id: string;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["SessionProcessorStatus"];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Pause
   * @description Pauses session processor
   */
  pause: {
    parameters: {
      path: {
        /** @description The queue id to perform this operation on */
        queue_id: string;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["SessionProcessorStatus"];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Cancel By Batch Ids
   * @description Immediately cancels all queue items from the given batch ids
   */
  cancel_by_batch_ids: {
    parameters: {
      path: {
        /** @description The queue id to perform this operation on */
        queue_id: string;
      };
    };
    requestBody: {
      content: {
        "application/json": components["schemas"]["Body_cancel_by_batch_ids"];
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["CancelByBatchIDsResult"];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Clear
   * @description Clears the queue entirely, immediately canceling the currently-executing session
   */
  clear: {
    parameters: {
      path: {
        /** @description The queue id to perform this operation on */
        queue_id: string;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["ClearResult"];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Prune
   * @description Prunes all completed or errored queue items
   */
  prune: {
    parameters: {
      path: {
        /** @description The queue id to perform this operation on */
        queue_id: string;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["PruneResult"];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Get Current Queue Item
   * @description Gets the currently execution queue item
   */
  get_current_queue_item: {
    parameters: {
      path: {
        /** @description The queue id to perform this operation on */
        queue_id: string;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["SessionQueueItem"] | null;
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Get Next Queue Item
   * @description Gets the next queue item, without executing it
   */
  get_next_queue_item: {
    parameters: {
      path: {
        /** @description The queue id to perform this operation on */
        queue_id: string;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["SessionQueueItem"] | null;
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Get Queue Status
   * @description Gets the status of the session queue
   */
  get_queue_status: {
    parameters: {
      path: {
        /** @description The queue id to perform this operation on */
        queue_id: string;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["SessionQueueAndProcessorStatus"];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Get Batch Status
   * @description Gets the status of the session queue
   */
  get_batch_status: {
    parameters: {
      path: {
        /** @description The queue id to perform this operation on */
        queue_id: string;
        /** @description The batch to get the status of */
        batch_id: string;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["BatchStatus"];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Get Queue Item
   * @description Gets a queue item
   */
  get_queue_item: {
    parameters: {
      path: {
        /** @description The queue id to perform this operation on */
        queue_id: string;
        /** @description The queue item to get */
        item_id: number;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["SessionQueueItem"];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Cancel Queue Item
   * @description Deletes a queue item
   */
  cancel_queue_item: {
    parameters: {
      path: {
        /** @description The queue id to perform this operation on */
        queue_id: string;
        /** @description The queue item to cancel */
        item_id: number;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["SessionQueueItem"];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Get Workflow
   * @description Gets a workflow
   */
  get_workflow: {
    parameters: {
      path: {
        /** @description The workflow to get */
        workflow_id: string;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["WorkflowField"];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
};