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

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


export type paths = {
  "/api/v1/utilities/dynamicprompts": {
    /**
     * Parse Dynamicprompts
     * @description Creates a batch process
     */
    post: operations["parse_dynamicprompts"];
  };
  "/api/v2/models/": {
    /**
     * List Model Records
     * @description Get a list of models.
     */
    get: operations["list_model_records"];
  };
  "/api/v2/models/get_by_attrs": {
    /**
     * Get Model Records By Attrs
     * @description Gets a model by its attributes. The main use of this route is to provide backwards compatibility with the old
     * model manager, which identified models by a combination of name, base and type.
     */
    get: operations["get_model_records_by_attrs"];
  };
  "/api/v2/models/i/{key}": {
    /**
     * Get Model Record
     * @description Get a model record
     */
    get: operations["get_model_record"];
    /**
     * Delete Model
     * @description Delete model record from database.
     *
     * The configuration record will be removed. The corresponding weights files will be
     * deleted as well if they reside within the InvokeAI "models" directory.
     */
    delete: operations["delete_model"];
    /**
     * Update Model Record
     * @description Update a model's config.
     */
    patch: operations["update_model_record"];
  };
  "/api/v2/models/scan_folder": {
    /** Scan For Models */
    get: operations["scan_for_models"];
  };
  "/api/v2/models/install": {
    /**
     * List Model Installs
     * @description Return the list of model install jobs.
     *
     * Install jobs have a numeric `id`, a `status`, and other fields that provide information on
     * the nature of the job and its progress. The `status` is one of:
     *
     * * "waiting" -- Job is waiting in the queue to run
     * * "downloading" -- Model file(s) are downloading
     * * "running" -- Model has downloaded and the model probing and registration process is running
     * * "completed" -- Installation completed successfully
     * * "error" -- An error occurred. Details will be in the "error_type" and "error" fields.
     * * "cancelled" -- Job was cancelled before completion.
     *
     * Once completed, information about the model such as its size, base
     * model and type can be retrieved from the `config_out` field. For multi-file models such as diffusers,
     * information on individual files can be retrieved from `download_parts`.
     *
     * See the example and schema below for more information.
     */
    get: operations["list_model_installs"];
    /**
     * Install Model
     * @description Install a model using a string identifier.
     *
     * `source` can be any of the following.
     *
     * 1. A path on the local filesystem ('C:\users\fred\model.safetensors')
     * 2. A Url pointing to a single downloadable model file
     * 3. A HuggingFace repo_id with any of the following formats:
     *    - model/name
     *    - model/name:fp16:vae
     *    - model/name::vae          -- use default precision
     *    - model/name:fp16:path/to/model.safetensors
     *    - model/name::path/to/model.safetensors
     *
     * `config` is an optional dict containing model configuration values that will override
     * the ones that are probed automatically.
     *
     * `access_token` is an optional access token for use with Urls that require
     * authentication.
     *
     * Models will be downloaded, probed, configured and installed in a
     * series of background threads. The return object has `status` attribute
     * that can be used to monitor progress.
     *
     * See the documentation for `import_model_record` for more information on
     * interpreting the job information returned by this route.
     */
    post: operations["install_model"];
    /**
     * Prune Model Install Jobs
     * @description Prune all completed and errored jobs from the install job list.
     */
    delete: operations["prune_model_install_jobs"];
  };
  "/api/v2/models/install/{id}": {
    /**
     * Get Model Install Job
     * @description Return model install job corresponding to the given source. See the documentation for 'List Model Install Jobs'
     * for information on the format of the return value.
     */
    get: operations["get_model_install_job"];
    /**
     * Cancel Model Install Job
     * @description Cancel the model install job(s) corresponding to the given job ID.
     */
    delete: operations["cancel_model_install_job"];
  };
  "/api/v2/models/sync": {
    /**
     * Sync Models To Config
     * @description Traverse the models and autoimport directories.
     *
     * Model files without a corresponding
     * record in the database are added. Orphan records without a models file are deleted.
     */
    patch: operations["sync_models_to_config"];
  };
  "/api/v2/models/convert/{key}": {
    /**
     * Convert Model
     * @description Permanently convert a model into diffusers format, replacing the safetensors version.
     * Note that during the conversion process the key and model hash will change.
     * The return value is the model configuration for the converted model.
     */
    put: operations["convert_model"];
  };
  "/api/v1/download_queue/": {
    /**
     * List Downloads
     * @description Get a list of active and inactive jobs.
     */
    get: operations["list_downloads"];
    /**
     * Prune Downloads
     * @description Prune completed and errored jobs.
     */
    patch: operations["prune_downloads"];
  };
  "/api/v1/download_queue/i/": {
    /**
     * Download
     * @description Download the source URL to the file or directory indicted in dest.
     */
    post: operations["download"];
  };
  "/api/v1/download_queue/i/{id}": {
    /**
     * Get Download Job
     * @description Get a download job using its ID.
     */
    get: operations["get_download_job"];
    /**
     * Cancel Download Job
     * @description Cancel a download job using its ID.
     */
    delete: operations["cancel_download_job"];
  };
  "/api/v1/download_queue/i": {
    /**
     * Cancel All Download Jobs
     * @description Cancel all download jobs.
     */
    delete: operations["cancel_all_download_jobs"];
  };
  "/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}/workflow": {
    /** Get Image Workflow */
    get: operations["get_image_workflow"];
  };
  "/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/images/download/{bulk_download_item_name}": {
    /**
     * Get Bulk Download Item
     * @description Gets a bulk download zip file
     */
    get: operations["get_bulk_download_item"];
  };
  "/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/app_deps": {
    /** Get App Deps */
    get: operations["get_app_deps"];
  };
  "/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"];
    /**
     * Delete Workflow
     * @description Deletes a workflow
     */
    delete: operations["delete_workflow"];
    /**
     * Update Workflow
     * @description Updates a workflow
     */
    patch: operations["update_workflow"];
  };
  "/api/v1/workflows/": {
    /**
     * List Workflows
     * @description Gets a page of workflows
     */
    get: operations["list_workflows"];
    /**
     * Create Workflow
     * @description Creates a workflow
     */
    post: operations["create_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[];
    };
    /**
     * AppDependencyVersions
     * @description App depencency Versions Response
     */
    AppDependencyVersions: {
      /**
       * Accelerate
       * @description accelerate version
       */
      accelerate: string;
      /**
       * Compel
       * @description compel version
       */
      compel: string;
      /**
       * Cuda
       * @description CUDA version
       */
      cuda: string | null;
      /**
       * Diffusers
       * @description diffusers version
       */
      diffusers: string;
      /**
       * Numpy
       * @description Numpy version
       */
      numpy: string;
      /**
       * Opencv
       * @description OpenCV version
       */
      opencv: string;
      /**
       * Onnx
       * @description ONNX version
       */
      onnx: string;
      /**
       * Pillow
       * @description Pillow (PIL) version
       */
      pillow: string;
      /**
       * Python
       * @description Python version
       */
      python: string;
      /**
       * Torch
       * @description PyTorch version
       */
      torch: string;
      /**
       * Torchvision
       * @description PyTorch Vision version
       */
      torchvision: string;
      /**
       * Transformers
       * @description transformers version
       */
      transformers: string;
      /**
       * Xformers
       * @description xformers version
       */
      xformers: string | null;
    };
    /**
     * AppVersion
     * @description App Version Response
     */
    AppVersion: {
      /**
       * Version
       * @description App version
       */
      version: string;
    };
    /**
     * BaseMetadata
     * @description Adds typing data for discriminated union.
     */
    BaseMetadata: {
      /**
       * Name
       * @description model's name
       */
      name: string;
      /**
       * Type
       * @default basemetadata
       * @constant
       */
      type?: "basemetadata";
    };
    /**
     * BaseModelType
     * @description Base model type.
     * @enum {string}
     */
    BaseModelType: "any" | "sd-1" | "sd-2" | "sdxl" | "sdxl-refiner";
    /** 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"];
      /** @description The workflow to initialize the session with */
      workflow?: components["schemas"]["WorkflowWithoutID"] | null;
      /**
       * 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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_create_workflow */
    Body_create_workflow: {
      /** @description The workflow to create */
      workflow: components["schemas"]["WorkflowWithoutID"];
    };
    /** 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 */
    Body_download: {
      /**
       * Source
       * Format: uri
       * @description download source
       */
      source: string;
      /**
       * Dest
       * @description download destination
       */
      dest: string;
      /**
       * Priority
       * @description queue priority
       * @default 10
       */
      priority?: number;
      /**
       * Access Token
       * @description token for authorization to download
       */
      access_token?: string | null;
    };
    /** Body_download_images_from_list */
    Body_download_images_from_list: {
      /**
       * Image Names
       * @description The list of names of images to download
       */
      image_names?: string[] | null;
      /**
       * Board Id
       * @description The board from which image should be downloaded
       */
      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_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_update_workflow */
    Body_update_workflow: {
      /** @description The updated workflow */
      workflow: components["schemas"]["Workflow"];
    };
    /** 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: {
      /**
       * Key
       * @description A unique key for this model.
       */
      key: string;
      /**
       * Hash
       * @description The hash of the model file(s).
       */
      hash: string;
      /**
       * Path
       * @description Path to the model on the filesystem. Relative paths are relative to the Invoke root directory.
       */
      path: string;
      /**
       * Name
       * @description Name of the model.
       */
      name: string;
      /** @description The base model. */
      base: components["schemas"]["BaseModelType"];
      /**
       * Description
       * @description Model description
       */
      description?: string | null;
      /**
       * Source
       * @description The original source of the model (path, URL or repo_id).
       */
      source: string;
      /** @description The type of source */
      source_type: components["schemas"]["ModelSourceType"];
      /**
       * Source Api Response
       * @description The original API response from the source, as stringified JSON.
       */
      source_api_response?: string | null;
      /**
       * Trigger Phrases
       * @description Set of trigger phrases for this model
       */
      trigger_phrases?: string[] | null;
      /** @description Default settings for this model */
      default_settings?: components["schemas"]["ModelDefaultSettings"] | null;
      /**
       * Type
       * @default clip_vision
       * @constant
       */
      type: "clip_vision";
      /**
       * Format
       * @constant
       */
      format: "diffusers";
    };
    /**
     * CV2 Infill
     * @description Infills transparent areas of an image using OpenCV Inpainting
     */
    CV2InfillInvocation: {
      /** @description The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 infill */
      image?: components["schemas"]["ImageField"];
      /**
       * type
       * @default infill_cv2
       * @constant
       */
      type: "infill_cv2";
    };
    /**
     * Calculate Image Tiles Even Split
     * @description Calculate the coordinates and overlaps of tiles that cover a target image shape.
     */
    CalculateImageTilesEvenSplitInvocation: {
      /**
       * 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 Width
       * @description The image width, in pixels, to calculate tiles for.
       * @default 1024
       */
      image_width?: number;
      /**
       * Image Height
       * @description The image height, in pixels, to calculate tiles for.
       * @default 1024
       */
      image_height?: number;
      /**
       * Num Tiles X
       * @description Number of tiles to divide image into on the x axis
       * @default 2
       */
      num_tiles_x?: number;
      /**
       * Num Tiles Y
       * @description Number of tiles to divide image into on the y axis
       * @default 2
       */
      num_tiles_y?: number;
      /**
       * Overlap
       * @description The overlap, in pixels, between adjacent tiles.
       * @default 128
       */
      overlap?: number;
      /**
       * type
       * @default calculate_image_tiles_even_split
       * @constant
       */
      type: "calculate_image_tiles_even_split";
    };
    /**
     * Calculate Image Tiles
     * @description Calculate the coordinates and overlaps of tiles that cover a target image shape.
     */
    CalculateImageTilesInvocation: {
      /**
       * 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 Width
       * @description The image width, in pixels, to calculate tiles for.
       * @default 1024
       */
      image_width?: number;
      /**
       * Image Height
       * @description The image height, in pixels, to calculate tiles for.
       * @default 1024
       */
      image_height?: number;
      /**
       * Tile Width
       * @description The tile width, in pixels.
       * @default 576
       */
      tile_width?: number;
      /**
       * Tile Height
       * @description The tile height, in pixels.
       * @default 576
       */
      tile_height?: number;
      /**
       * Overlap
       * @description The target overlap, in pixels, between adjacent tiles. Adjacent tiles will overlap by at least this amount
       * @default 128
       */
      overlap?: number;
      /**
       * type
       * @default calculate_image_tiles
       * @constant
       */
      type: "calculate_image_tiles";
    };
    /**
     * Calculate Image Tiles Minimum Overlap
     * @description Calculate the coordinates and overlaps of tiles that cover a target image shape.
     */
    CalculateImageTilesMinimumOverlapInvocation: {
      /**
       * 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 Width
       * @description The image width, in pixels, to calculate tiles for.
       * @default 1024
       */
      image_width?: number;
      /**
       * Image Height
       * @description The image height, in pixels, to calculate tiles for.
       * @default 1024
       */
      image_height?: number;
      /**
       * Tile Width
       * @description The tile width, in pixels.
       * @default 576
       */
      tile_width?: number;
      /**
       * Tile Height
       * @description The tile height, in pixels.
       * @default 576
       */
      tile_height?: number;
      /**
       * Min Overlap
       * @description Minimum overlap between adjacent tiles, in pixels.
       * @default 128
       */
      min_overlap?: number;
      /**
       * type
       * @default calculate_image_tiles_min_overlap
       * @constant
       */
      type: "calculate_image_tiles_min_overlap";
    };
    /** CalculateImageTilesOutput */
    CalculateImageTilesOutput: {
      /**
       * Tiles
       * @description The tiles coordinates that cover a particular image shape.
       */
      tiles: components["schemas"]["Tile"][];
      /**
       * type
       * @default calculate_image_tiles_output
       * @constant
       */
      type: "calculate_image_tiles_output";
    };
    /**
     * 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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";
    };
    /**
     * Canvas Paste Back
     * @description Combines two images by using the mask provided. Intended for use on the Unified Canvas.
     */
    CanvasPasteBackInvocation: {
      /** @description The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 source image */
      source_image?: components["schemas"]["ImageField"];
      /** @description The target image */
      target_image?: components["schemas"]["ImageField"];
      /** @description The mask to use when pasting */
      mask?: components["schemas"]["ImageField"];
      /**
       * Mask Blur
       * @description The amount to blur the mask by
       * @default 0
       */
      mask_blur?: number;
      /**
       * type
       * @default canvas_paste_back
       * @constant
       */
      type: "canvas_paste_back";
    };
    /**
     * Center Pad or Crop Image
     * @description Pad or crop an image's sides from the center by specified pixels. Positive values are outside of the image.
     */
    CenterPadCropInvocation: {
      /**
       * 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"];
      /**
       * Left
       * @description Number of pixels to pad/crop from the left (negative values crop inwards, positive values pad outwards)
       * @default 0
       */
      left?: number;
      /**
       * Right
       * @description Number of pixels to pad/crop from the right (negative values crop inwards, positive values pad outwards)
       * @default 0
       */
      right?: number;
      /**
       * Top
       * @description Number of pixels to pad/crop from the top (negative values crop inwards, positive values pad outwards)
       * @default 0
       */
      top?: number;
      /**
       * Bottom
       * @description Number of pixels to pad/crop from the bottom (negative values crop inwards, positive values pad outwards)
       * @default 0
       */
      bottom?: number;
      /**
       * type
       * @default img_pad_crop
       * @constant
       */
      type: "img_pad_crop";
    };
    /**
     * CivitaiMetadata
     * @description Extended metadata fields provided by Civitai.
     */
    CivitaiMetadata: {
      /**
       * Name
       * @description model's name
       */
      name: string;
      /**
       * Files
       * @description model files and their sizes
       */
      files?: components["schemas"]["RemoteModelFile"][];
      /**
       * Type
       * @default civitai
       * @constant
       */
      type?: "civitai";
      /**
       * Trigger Phrases
       * @description Trigger phrases extracted from the API response
       */
      trigger_phrases: string[];
      /**
       * Api Response
       * @description Response from the Civitai API as stringified JSON
       */
      api_response?: string | null;
    };
    /**
     * CivitaiModelSource
     * @description A Civitai version id, with optional variant and access token.
     */
    CivitaiModelSource: {
      /** Version Id */
      version_id: number;
      variant?: components["schemas"]["ModelRepoVariant"] | null;
      /** Access Token */
      access_token?: string | null;
      /**
       * Type
       * @default civitai
       * @constant
       */
      type?: "civitai";
    };
    /**
     * 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"]["ModelField"];
      /** @description Info to load text_encoder submodel */
      text_encoder: components["schemas"]["ModelField"];
      /**
       * Skipped Layers
       * @description Number of skipped layers in text_encoder
       */
      skipped_layers: number;
      /**
       * Loras
       * @description Loras to apply on model loading
       */
      loras: components["schemas"]["LoRAField"][];
    };
    /**
     * 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
       * @default null
       */
      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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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"]["ModelField"];
      /**
       * 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: {
      /**
       * Key
       * @description A unique key for this model.
       */
      key: string;
      /**
       * Hash
       * @description The hash of the model file(s).
       */
      hash: string;
      /**
       * Path
       * @description Path to the model on the filesystem. Relative paths are relative to the Invoke root directory.
       */
      path: string;
      /**
       * Name
       * @description Name of the model.
       */
      name: string;
      /** @description The base model. */
      base: components["schemas"]["BaseModelType"];
      /**
       * Description
       * @description Model description
       */
      description?: string | null;
      /**
       * Source
       * @description The original source of the model (path, URL or repo_id).
       */
      source: string;
      /** @description The type of source */
      source_type: components["schemas"]["ModelSourceType"];
      /**
       * Source Api Response
       * @description The original API response from the source, as stringified JSON.
       */
      source_api_response?: string | null;
      /**
       * Trigger Phrases
       * @description Set of trigger phrases for this model
       */
      trigger_phrases?: string[] | null;
      /** @description Default settings for this model */
      default_settings?: components["schemas"]["ModelDefaultSettings"] | null;
      /**
       * Format
       * @default checkpoint
       * @constant
       */
      format: "checkpoint";
      /**
       * Config Path
       * @description path to the checkpoint model config file
       */
      config_path: string;
      /**
       * Converted At
       * @description When this model was last converted to diffusers
       */
      converted_at?: number | null;
      /**
       * Type
       * @default controlnet
       * @constant
       */
      type: "controlnet";
    };
    /**
     * ControlNetDiffusersConfig
     * @description Model config for ControlNet models (diffusers version).
     */
    ControlNetDiffusersConfig: {
      /**
       * Key
       * @description A unique key for this model.
       */
      key: string;
      /**
       * Hash
       * @description The hash of the model file(s).
       */
      hash: string;
      /**
       * Path
       * @description Path to the model on the filesystem. Relative paths are relative to the Invoke root directory.
       */
      path: string;
      /**
       * Name
       * @description Name of the model.
       */
      name: string;
      /** @description The base model. */
      base: components["schemas"]["BaseModelType"];
      /**
       * Description
       * @description Model description
       */
      description?: string | null;
      /**
       * Source
       * @description The original source of the model (path, URL or repo_id).
       */
      source: string;
      /** @description The type of source */
      source_type: components["schemas"]["ModelSourceType"];
      /**
       * Source Api Response
       * @description The original API response from the source, as stringified JSON.
       */
      source_api_response?: string | null;
      /**
       * Trigger Phrases
       * @description Set of trigger phrases for this model
       */
      trigger_phrases?: string[] | null;
      /** @description Default settings for this model */
      default_settings?: components["schemas"]["ModelDefaultSettings"] | null;
      /**
       * Format
       * @default diffusers
       * @constant
       */
      format: "diffusers";
      /** @default */
      repo_variant?: components["schemas"]["ModelRepoVariant"] | null;
      /**
       * Type
       * @default controlnet
       * @constant
       */
      type: "controlnet";
    };
    /**
     * 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"]["ModelField"];
      /**
       * 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";
    };
    /** ControlNetMetadataField */
    ControlNetMetadataField: {
      /** @description The control image */
      image: components["schemas"]["ImageField"];
      /** @description The ControlNet model to use */
      control_model: components["schemas"]["ModelMetadataField"];
      /**
       * 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";
    };
    /**
     * 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"]["ModelMetadataField"] | null;
      /**
       * Controlnets
       * @description The ControlNets used for inference
       */
      controlnets?: components["schemas"]["ControlNetMetadataField"][] | 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"]["T2IAdapterMetadataField"][] | 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"]["ModelMetadataField"] | 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"]["ModelMetadataField"] | 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";
    };
    /**
     * Create Gradient Mask
     * @description Creates mask for denoising model run.
     */
    CreateGradientMaskInvocation: {
      /**
       * 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 which will be masked */
      mask?: components["schemas"]["ImageField"];
      /**
       * Edge Radius
       * @description How far to blur/expand the edges of the mask
       * @default 16
       */
      edge_radius?: number;
      /**
       * Coherence Mode
       * @default Gaussian Blur
       * @enum {string}
       */
      coherence_mode?: "Gaussian Blur" | "Box Blur" | "Staged";
      /**
       * Minimum Denoise
       * @description Minimum denoise level for the coherence region
       * @default 0
       */
      minimum_denoise?: number;
      /**
       * type
       * @default create_gradient_mask
       * @constant
       */
      type: "create_gradient_mask";
    };
    /**
     * Crop Latents
     * @description Crops a latent-space tensor to a box specified in image-space. The box dimensions and coordinates must be
     * divisible by the latent scale factor of 8.
     */
    CropLatentsCoreInvocation: {
      /**
       * 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"];
      /**
       * X
       * @description The left x coordinate (in px) of the crop rectangle in image space. This value will be converted to a dimension in latent space.
       */
      x?: number;
      /**
       * Y
       * @description The top y coordinate (in px) of the crop rectangle in image space. This value will be converted to a dimension in latent space.
       */
      y?: number;
      /**
       * Width
       * @description The width (in px) of the crop rectangle in image space. This value will be converted to a dimension in latent space.
       */
      width?: number;
      /**
       * Height
       * @description The height (in px) of the crop rectangle in image space. This value will be converted to a dimension in latent space.
       */
      height?: number;
      /**
       * type
       * @default crop_latents
       * @constant
       */
      type: "crop_latents";
    };
    /** 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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";
    };
    /**
     * DW Openpose Image Processor
     * @description Generates an openpose pose from an image using DWPose
     */
    DWOpenposeImageProcessorInvocation: {
      /** @description The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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"];
      /**
       * Draw Body
       * @default true
       */
      draw_body?: boolean;
      /**
       * Draw Face
       * @default false
       */
      draw_face?: boolean;
      /**
       * Draw Hands
       * @default false
       */
      draw_hands?: boolean;
      /**
       * Image Resolution
       * @description Pixel resolution for output image
       * @default 512
       */
      image_resolution?: number;
      /**
       * type
       * @default dw_openpose_image_processor
       * @constant
       */
      type: "dw_openpose_image_processor";
    };
    /** 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
       * @default null
       */
      masked_latents_name?: string | null;
      /**
       * Gradient
       * @description Used for gradient inpainting
       * @default false
       */
      gradient?: boolean;
    };
    /**
     * 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";
    };
    /**
     * Depth Anything Processor
     * @description Generates a depth map based on the Depth Anything algorithm
     */
    DepthAnythingImageProcessorInvocation: {
      /** @description The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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"];
      /**
       * Model Size
       * @description The size of the depth model to use
       * @default small
       * @enum {string}
       */
      model_size?: "large" | "base" | "small";
      /**
       * Resolution
       * @description Pixel resolution for output image
       * @default 512
       */
      resolution?: number;
      /**
       * Offload
       * @default false
       */
      offload?: boolean;
      /**
       * type
       * @default depth_anything_image_processor
       * @constant
       */
      type: "depth_anything_image_processor";
    };
    /**
     * 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";
    };
    /**
     * DownloadJob
     * @description Class to monitor and control a model download request.
     */
    DownloadJob: {
      /**
       * Source
       * Format: uri
       * @description Where to download from. Specific types specified in child classes.
       */
      source: string;
      /**
       * Dest
       * Format: path
       * @description Destination of downloaded model on local disk; a directory or file path
       */
      dest: string;
      /**
       * Access Token
       * @description authorization token for protected resources
       */
      access_token?: string | null;
      /**
       * Id
       * @description Numeric ID of this job
       * @default -1
       */
      id?: number;
      /**
       * Priority
       * @description Queue priority; lower values are higher priority
       * @default 10
       */
      priority?: number;
      /**
       * @description Status of the download
       * @default waiting
       */
      status?: components["schemas"]["DownloadJobStatus"];
      /**
       * Download Path
       * @description Final location of downloaded file
       */
      download_path?: string | null;
      /**
       * Job Started
       * @description Timestamp for when the download job started
       */
      job_started?: string | null;
      /**
       * Job Ended
       * @description Timestamp for when the download job ende1d (completed or errored)
       */
      job_ended?: string | null;
      /**
       * Content Type
       * @description Content type of downloaded file
       */
      content_type?: string | null;
      /**
       * Bytes
       * @description Bytes downloaded so far
       * @default 0
       */
      bytes?: number;
      /**
       * Total Bytes
       * @description Total file size (bytes)
       * @default 0
       */
      total_bytes?: number;
      /**
       * Error Type
       * @description Name of exception that caused an error
       */
      error_type?: string | null;
      /**
       * Error
       * @description Traceback of the exception that caused an error
       */
      error?: string | null;
    };
    /**
     * DownloadJobStatus
     * @description State of a download job.
     * @enum {string}
     */
    DownloadJobStatus: "waiting" | "running" | "completed" | "cancelled" | "error";
    /**
     * 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 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;
    };
    /** ExposedField */
    ExposedField: {
      /** Nodeid */
      nodeId: string;
      /** Fieldname */
      fieldName: string;
    };
    /**
     * FaceIdentifier
     * @description Outputs an image with detected face IDs printed on each face. For use with other FaceTools.
     */
    FaceIdentifierInvocation: {
      /** @description The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 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;
      /**
       * 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;
      /**
       * 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";
    };
    /** FoundModel */
    FoundModel: {
      /**
       * Path
       * @description Path to the model
       */
      path: string;
      /**
       * Is Installed
       * @description Whether or not the model is already installed
       */
      is_installed: boolean;
    };
    /**
     * 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";
    };
    /**
     * GradientMaskOutput
     * @description Outputs a denoise mask and an image representing the total gradient of the mask.
     */
    GradientMaskOutput: {
      /** @description Mask for denoise model run */
      denoise_mask: components["schemas"]["DenoiseMaskField"];
      /** @description Image representing the total gradient area of the mask. For paste-back purposes. */
      expanded_mask_area: components["schemas"]["ImageField"];
      /**
       * type
       * @default gradient_mask_output
       * @constant
       */
      type: "gradient_mask_output";
    };
    /** Graph */
    Graph: {
      /**
       * Id
       * @description The id of this graph
       */
      id?: string | null;
      /**
       * Nodes
       * @description The nodes in this graph
       */
      nodes: {
        [key: string]: components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["CoreMetadataInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["MetadataItemInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["IdealSizeInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["DWOpenposeImageProcessorInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["CanvasPasteBackInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["FaceOffInvocation"] | components["schemas"]["MergeTilesToImageInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["CreateGradientMaskInvocation"] | components["schemas"]["CenterPadCropInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["FreeUInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["TileToPropertiesInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["UnsharpMaskInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["CropLatentsCoreInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["BooleanInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["CalculateImageTilesInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["CalculateImageTilesMinimumOverlapInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["DepthAnythingImageProcessorInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["
      };
      /**
       * 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"]["StringCollectionOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["PairTileImageOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["BooleanOutput"] | components["schemas"]["VAEOutput"] | components["schemas"]["CalculateImageTilesOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["UNetOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["CollectInvocationOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["FaceMaskOutput"] | components["schemas"]["TileToPropertiesOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["T2IAdapterOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["GradientMaskOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["String2Output"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["StringPosNegOutput"] | components["schemas"]["MetadataOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["MetadataItemOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["IPAdapterOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["CLIPOutput"] | components["schemas"]["FaceOffOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["IdealSizeOutput"];
      };
      /**
       * 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[];
      };
    };
    /**
     * HFModelSource
     * @description A HuggingFace repo_id with optional variant, sub-folder and access token.
     * Note that the variant option, if not provided to the constructor, will default to fp16, which is
     * what people (almost) always want.
     */
    HFModelSource: {
      /** Repo Id */
      repo_id: string;
      /** @default fp16 */
      variant?: components["schemas"]["ModelRepoVariant"] | null;
      /** Subfolder */
      subfolder?: string | null;
      /** Access Token */
      access_token?: string | null;
      /**
       * Type
       * @default hf
       * @constant
       */
      type?: "hf";
    };
    /** HTTPValidationError */
    HTTPValidationError: {
      /** Detail */
      detail?: components["schemas"]["ValidationError"][];
    };
    /**
     * HED (softedge) Processor
     * @description Applies HED edge detection to image
     */
    HedImageProcessorInvocation: {
      /** @description The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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";
    };
    /**
     * HuggingFaceMetadata
     * @description Extended metadata fields provided by HuggingFace.
     */
    HuggingFaceMetadata: {
      /**
       * Name
       * @description model's name
       */
      name: string;
      /**
       * Files
       * @description model files and their sizes
       */
      files?: components["schemas"]["RemoteModelFile"][];
      /**
       * Type
       * @default huggingface
       * @constant
       */
      type?: "huggingface";
      /**
       * Id
       * @description The HF model id
       */
      id: string;
      /**
       * Api Response
       * @description Response from the HF API as stringified JSON
       */
      api_response?: string | null;
    };
    /**
     * IPAdapterConfig
     * @description Model config for IP Adaptor format models.
     */
    IPAdapterConfig: {
      /**
       * Key
       * @description A unique key for this model.
       */
      key: string;
      /**
       * Hash
       * @description The hash of the model file(s).
       */
      hash: string;
      /**
       * Path
       * @description Path to the model on the filesystem. Relative paths are relative to the Invoke root directory.
       */
      path: string;
      /**
       * Name
       * @description Name of the model.
       */
      name: string;
      /** @description The base model. */
      base: components["schemas"]["BaseModelType"];
      /**
       * Description
       * @description Model description
       */
      description?: string | null;
      /**
       * Source
       * @description The original source of the model (path, URL or repo_id).
       */
      source: string;
      /** @description The type of source */
      source_type: components["schemas"]["ModelSourceType"];
      /**
       * Source Api Response
       * @description The original API response from the source, as stringified JSON.
       */
      source_api_response?: string | null;
      /**
       * Trigger Phrases
       * @description Set of trigger phrases for this model
       */
      trigger_phrases?: string[] | null;
      /** @description Default settings for this model */
      default_settings?: components["schemas"]["ModelDefaultSettings"] | null;
      /**
       * Type
       * @default ip_adapter
       * @constant
       */
      type: "ip_adapter";
      /** Image Encoder Model Id */
      image_encoder_model_id: string;
      /**
       * Format
       * @constant
       */
      format: "invokeai";
    };
    /** 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"]["ModelField"];
      /** @description The name of the CLIP image encoder model. */
      image_encoder_model: components["schemas"]["ModelField"];
      /**
       * 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"]["ModelField"];
      /**
       * 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"]["ModelMetadataField"];
      /**
       * 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;
    };
    /** IPAdapterOutput */
    IPAdapterOutput: {
      /**
       * IP-Adapter
       * @description IP-Adapter to apply
       */
      ip_adapter: components["schemas"]["IPAdapterField"];
      /**
       * type
       * @default ip_adapter_output
       * @constant
       */
      type: "ip_adapter_output";
    };
    /**
     * Ideal Size
     * @description Calculates the ideal size for generation to avoid duplication
     */
    IdealSizeInvocation: {
      /**
       * 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 Final image width
       * @default 1024
       */
      width?: number;
      /**
       * Height
       * @description Final image height
       * @default 576
       */
      height?: number;
      /** @description UNet (scheduler, LoRAs) */
      unet?: components["schemas"]["UNetField"];
      /**
       * Multiplier
       * @description Amount to multiply the model's dimensions by when calculating the ideal size (may result in initial generation artifacts if too large)
       * @default 1
       */
      multiplier?: number;
      /**
       * type
       * @default ideal_size
       * @constant
       */
      type: "ideal_size";
    };
    /**
     * IdealSizeOutput
     * @description Base class for invocations that output an image
     */
    IdealSizeOutput: {
      /**
       * Width
       * @description The ideal width of the image (in pixels)
       */
      width: number;
      /**
       * Height
       * @description The ideal height of the image (in pixels)
       */
      height: number;
      /**
       * type
       * @default ideal_size_output
       * @constant
       */
      type: "ideal_size_output";
    };
    /**
     * Blur Image
     * @description Blurs an image
     */
    ImageBlurInvocation: {
      /** @description The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 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;
      /**
       * Has Workflow
       * @description Whether this image has a workflow.
       */
      has_workflow: boolean;
      /**
       * Board Id
       * @description The id of the board the image belongs to, if one exists.
       */
      board_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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 The message to display to the user when images begin downloading
       */
      response?: string | null;
      /**
       * Bulk Download Item Name
       * @description The name of the bulk download item for which events will be emitted
       */
      bulk_download_item_name?: 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 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";
    };
    /**
     * InstallStatus
     * @description State of an install job running in the background.
     * @enum {string}
     */
    InstallStatus: "waiting" | "downloading" | "downloads_done" | "running" | "completed" | "error" | "cancelled";
    /**
     * 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;
      /**
       * Index
       * @description The index of the item
       */
      index: number;
      /**
       * Total
       * @description The total number of items
       */
      total: number;
      /**
       * type
       * @default iterate_output
       * @constant
       */
      type: "iterate_output";
    };
    JsonValue: unknown;
    /**
     * LaMa Infill
     * @description Infills transparent areas of an image using the LaMa model
     */
    LaMaInfillInvocation: {
      /** @description The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 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
       * @default null
       */
      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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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";
    };
    /**
     * Lineart Anime Processor
     * @description Applies line art anime processing to image
     */
    LineartAnimeImageProcessorInvocation: {
      /** @description The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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";
    };
    /**
     * LoRADiffusersConfig
     * @description Model config for LoRA/Diffusers models.
     */
    LoRADiffusersConfig: {
      /**
       * Key
       * @description A unique key for this model.
       */
      key: string;
      /**
       * Hash
       * @description The hash of the model file(s).
       */
      hash: string;
      /**
       * Path
       * @description Path to the model on the filesystem. Relative paths are relative to the Invoke root directory.
       */
      path: string;
      /**
       * Name
       * @description Name of the model.
       */
      name: string;
      /** @description The base model. */
      base: components["schemas"]["BaseModelType"];
      /**
       * Description
       * @description Model description
       */
      description?: string | null;
      /**
       * Source
       * @description The original source of the model (path, URL or repo_id).
       */
      source: string;
      /** @description The type of source */
      source_type: components["schemas"]["ModelSourceType"];
      /**
       * Source Api Response
       * @description The original API response from the source, as stringified JSON.
       */
      source_api_response?: string | null;
      /**
       * Trigger Phrases
       * @description Set of trigger phrases for this model
       */
      trigger_phrases?: string[] | null;
      /** @description Default settings for this model */
      default_settings?: components["schemas"]["ModelDefaultSettings"] | null;
      /**
       * Type
       * @default lora
       * @constant
       */
      type: "lora";
      /**
       * Format
       * @default diffusers
       * @constant
       */
      format: "diffusers";
    };
    /** LoRAField */
    LoRAField: {
      /** @description Info to load lora model */
      lora: components["schemas"]["ModelField"];
      /**
       * Weight
       * @description Weight to apply to lora model
       */
      weight: number;
    };
    /**
     * LoRALyCORISConfig
     * @description Model config for LoRA/Lycoris models.
     */
    LoRALyCORISConfig: {
      /**
       * Key
       * @description A unique key for this model.
       */
      key: string;
      /**
       * Hash
       * @description The hash of the model file(s).
       */
      hash: string;
      /**
       * Path
       * @description Path to the model on the filesystem. Relative paths are relative to the Invoke root directory.
       */
      path: string;
      /**
       * Name
       * @description Name of the model.
       */
      name: string;
      /** @description The base model. */
      base: components["schemas"]["BaseModelType"];
      /**
       * Description
       * @description Model description
       */
      description?: string | null;
      /**
       * Source
       * @description The original source of the model (path, URL or repo_id).
       */
      source: string;
      /** @description The type of source */
      source_type: components["schemas"]["ModelSourceType"];
      /**
       * Source Api Response
       * @description The original API response from the source, as stringified JSON.
       */
      source_api_response?: string | null;
      /**
       * Trigger Phrases
       * @description Set of trigger phrases for this model
       */
      trigger_phrases?: string[] | null;
      /** @description Default settings for this model */
      default_settings?: components["schemas"]["ModelDefaultSettings"] | null;
      /**
       * Type
       * @default lora
       * @constant
       */
      type: "lora";
      /**
       * Format
       * @default lycoris
       * @constant
       */
      format: "lycoris";
    };
    /**
     * LoRAMetadataField
     * @description LoRA Metadata Field
     */
    LoRAMetadataField: {
      /** @description LoRA model to load */
      model: components["schemas"]["ModelMetadataField"];
      /**
       * Weight
       * @description The weight at which the LoRA is applied to each model
       */
      weight: number;
    };
    /**
     * LocalModelSource
     * @description A local file or directory path.
     */
    LocalModelSource: {
      /** Path */
      path: string;
      /**
       * Inplace
       * @default false
       */
      inplace?: boolean | null;
      /**
       * Type
       * @default local
       * @constant
       */
      type?: "local";
    };
    /**
     * LogLevel
     * @enum {integer}
     */
    LogLevel: 0 | 10 | 20 | 30 | 40 | 50;
    /**
     * 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"]["ModelField"];
      /**
       * 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)
       * @default null
       */
      unet: components["schemas"]["UNetField"] | null;
      /**
       * CLIP
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       * @default null
       */
      clip: components["schemas"]["ClipField"] | null;
      /**
       * type
       * @default lora_loader_output
       * @constant
       */
      type: "lora_loader_output";
    };
    /**
     * MainCheckpointConfig
     * @description Model config for main checkpoint models.
     */
    MainCheckpointConfig: {
      /**
       * Key
       * @description A unique key for this model.
       */
      key: string;
      /**
       * Hash
       * @description The hash of the model file(s).
       */
      hash: string;
      /**
       * Path
       * @description Path to the model on the filesystem. Relative paths are relative to the Invoke root directory.
       */
      path: string;
      /**
       * Name
       * @description Name of the model.
       */
      name: string;
      /** @description The base model. */
      base: components["schemas"]["BaseModelType"];
      /**
       * Description
       * @description Model description
       */
      description?: string | null;
      /**
       * Source
       * @description The original source of the model (path, URL or repo_id).
       */
      source: string;
      /** @description The type of source */
      source_type: components["schemas"]["ModelSourceType"];
      /**
       * Source Api Response
       * @description The original API response from the source, as stringified JSON.
       */
      source_api_response?: string | null;
      /**
       * Trigger Phrases
       * @description Set of trigger phrases for this model
       */
      trigger_phrases?: string[] | null;
      /** @description Default settings for this model */
      default_settings?: components["schemas"]["ModelDefaultSettings"] | null;
      /**
       * Format
       * @default checkpoint
       * @constant
       */
      format: "checkpoint";
      /**
       * Config Path
       * @description path to the checkpoint model config file
       */
      config_path: string;
      /**
       * Converted At
       * @description When this model was last converted to diffusers
       */
      converted_at?: number | null;
      /**
       * Type
       * @default main
       * @constant
       */
      type: "main";
      /** @default normal */
      variant?: components["schemas"]["ModelVariantType"];
      /** @default epsilon */
      prediction_type?: components["schemas"]["SchedulerPredictionType"];
      /**
       * Upcast Attention
       * @default false
       */
      upcast_attention?: boolean;
    };
    /**
     * MainDiffusersConfig
     * @description Model config for main diffusers models.
     */
    MainDiffusersConfig: {
      /**
       * Key
       * @description A unique key for this model.
       */
      key: string;
      /**
       * Hash
       * @description The hash of the model file(s).
       */
      hash: string;
      /**
       * Path
       * @description Path to the model on the filesystem. Relative paths are relative to the Invoke root directory.
       */
      path: string;
      /**
       * Name
       * @description Name of the model.
       */
      name: string;
      /** @description The base model. */
      base: components["schemas"]["BaseModelType"];
      /**
       * Description
       * @description Model description
       */
      description?: string | null;
      /**
       * Source
       * @description The original source of the model (path, URL or repo_id).
       */
      source: string;
      /** @description The type of source */
      source_type: components["schemas"]["ModelSourceType"];
      /**
       * Source Api Response
       * @description The original API response from the source, as stringified JSON.
       */
      source_api_response?: string | null;
      /**
       * Trigger Phrases
       * @description Set of trigger phrases for this model
       */
      trigger_phrases?: string[] | null;
      /** @description Default settings for this model */
      default_settings?: components["schemas"]["ModelDefaultSettings"] | null;
      /**
       * Format
       * @default diffusers
       * @constant
       */
      format: "diffusers";
      /** @default */
      repo_variant?: components["schemas"]["ModelRepoVariant"] | null;
      /**
       * Type
       * @default main
       * @constant
       */
      type: "main";
    };
    /**
     * 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"]["ModelField"];
      /**
       * 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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";
    };
    /**
     * 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";
    };
    /**
     * Merge Tiles to Image
     * @description Merge multiple tile images into a single image.
     */
    MergeTilesToImageInvocation: {
      /** @description The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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;
      /**
       * Tiles With Images
       * @description A list of tile images with tile properties.
       */
      tiles_with_images?: components["schemas"]["TileWithImage"][];
      /**
       * Blend Mode
       * @description blending type Linear or Seam
       * @default Seam
       * @enum {string}
       */
      blend_mode?: "Linear" | "Seam";
      /**
       * Blend Amount
       * @description The amount to blend adjacent tiles in pixels. Must be <= the amount of overlap between adjacent tiles.
       * @default 32
       */
      blend_amount?: number;
      /**
       * type
       * @default merge_tiles_to_image
       * @constant
       */
      type: "merge_tiles_to_image";
    };
    /**
     * MetadataField
     * @description Pydantic model for metadata with custom root of type dict[str, Any].
     * Metadata is stored without a strict schema.
     */
    MetadataField: Record<string, unknown>;
    /**
     * 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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";
    };
    /** ModelDefaultSettings */
    ModelDefaultSettings: {
      /** Vae */
      vae: string | null;
      /** Vae Precision */
      vae_precision: string | null;
      /** Scheduler */
      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") | null;
      /** Steps */
      steps: number | null;
      /** Cfg Scale */
      cfg_scale: number | null;
      /** Cfg Rescale Multiplier */
      cfg_rescale_multiplier: number | null;
    };
    /** ModelField */
    ModelField: {
      /**
       * Key
       * @description Key of the model
       */
      key: string;
      /**
       * @description Submodel type
       * @default null
       */
      submodel_type?: components["schemas"]["SubModelType"] | null;
    };
    /**
     * ModelFormat
     * @description Storage format of model.
     * @enum {string}
     */
    ModelFormat: "diffusers" | "checkpoint" | "lycoris" | "onnx" | "olive" | "embedding_file" | "embedding_folder" | "invokeai";
    /**
     * ModelInstallJob
     * @description Object that tracks the current status of an install request.
     */
    ModelInstallJob: {
      /**
       * Id
       * @description Unique ID for this job
       */
      id: number;
      /**
       * @description Current status of install process
       * @default waiting
       */
      status?: components["schemas"]["InstallStatus"];
      /**
       * Error Reason
       * @description Information about why the job failed
       */
      error_reason?: string | null;
      /**
       * Config In
       * @description Configuration information (e.g. 'description') to apply to model.
       */
      config_in?: Record<string, never>;
      /**
       * Config Out
       * @description After successful installation, this will hold the configuration object.
       */
      config_out?: (components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"] | components["schemas"]["VAEDiffusersConfig"] | components["schemas"]["VAECheckpointConfig"] | components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"] | components["schemas"]["LoRALyCORISConfig"] | components["schemas"]["LoRADiffusersConfig"] | components["schemas"]["TextualInversionFileConfig"] | components["schemas"]["TextualInversionFolderConfig"] | components["schemas"]["IPAdapterConfig"] | components["schemas"]["T2IAdapterConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"]) | null;
      /**
       * Inplace
       * @description Leave model in its current location; otherwise install under models directory
       * @default false
       */
      inplace?: boolean;
      /**
       * Source
       * @description Source (URL, repo_id, or local path) of model
       */
      source: components["schemas"]["LocalModelSource"] | components["schemas"]["HFModelSource"] | components["schemas"]["CivitaiModelSource"] | components["schemas"]["URLModelSource"];
      /**
       * Local Path
       * Format: path
       * @description Path to locally-downloaded model; may be the same as the source
       */
      local_path: string;
      /**
       * Bytes
       * @description For a remote model, the number of bytes downloaded so far (may not be available)
       * @default 0
       */
      bytes?: number;
      /**
       * Total Bytes
       * @description Total size of the model to be installed
       * @default 0
       */
      total_bytes?: number;
      /**
       * Source Metadata
       * @description Metadata provided by the model source
       */
      source_metadata?: (components["schemas"]["BaseMetadata"] | components["schemas"]["HuggingFaceMetadata"] | components["schemas"]["CivitaiMetadata"]) | null;
      /**
       * Download Parts
       * @description Download jobs contributing to this install
       */
      download_parts?: components["schemas"]["DownloadJob"][];
      /**
       * Error
       * @description On an error condition, this field will contain the text of the exception
       */
      error?: string | null;
      /**
       * Error Traceback
       * @description On an error condition, this field will contain the exception traceback
       */
      error_traceback?: string | 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"];
    };
    /**
     * ModelMetadataField
     * @description Model Metadata Field
     */
    ModelMetadataField: {
      /** Key */
      key: string;
      /** Hash */
      hash: string;
      /** Name */
      name: string;
      base: components["schemas"]["BaseModelType"];
      type: components["schemas"]["ModelType"];
    };
    /**
     * ModelRecordChanges
     * @description A set of changes to apply to a model.
     */
    ModelRecordChanges: {
      /**
       * Name
       * @description Name of the model.
       */
      name?: string | null;
      /**
       * Path
       * @description Path to the model.
       */
      path?: string | null;
      /**
       * Description
       * @description Model description
       */
      description?: string | null;
      /** @description The base model. */
      base?: components["schemas"]["BaseModelType"] | null;
      /**
       * Trigger Phrases
       * @description Set of trigger phrases for this model
       */
      trigger_phrases?: string[] | null;
      /** @description Default settings for this model */
      default_settings?: components["schemas"]["ModelDefaultSettings"] | null;
      /** @description The variant of the model. */
      variant?: components["schemas"]["ModelVariantType"] | null;
      /** @description The prediction type of the model. */
      prediction_type?: components["schemas"]["SchedulerPredictionType"] | null;
      /**
       * Upcast Attention
       * @description Whether to upcast attention.
       */
      upcast_attention?: boolean | null;
      /**
       * Config Path
       * @description Path to config file for model
       */
      config_path?: string | null;
    };
    /**
     * ModelRepoVariant
     * @description Various hugging face variants on the diffusers format.
     * @enum {string}
     */
    ModelRepoVariant: "" | "fp16" | "fp32" | "onnx" | "openvino" | "flax";
    /**
     * ModelSourceType
     * @description Model source type.
     * @enum {string}
     */
    ModelSourceType: "path" | "url" | "hf_repo_id" | "civitai";
    /**
     * ModelType
     * @description Model type.
     * @enum {string}
     */
    ModelType: "onnx" | "main" | "vae" | "lora" | "controlnet" | "embedding" | "ip_adapter" | "clip_vision" | "t2i_adapter";
    /**
     * ModelVariantType
     * @description Variant type.
     * @enum {string}
     */
    ModelVariantType: "normal" | "inpaint" | "depth";
    /**
     * ModelsList
     * @description Return list of configs.
     */
    ModelsList: {
      /** Models */
      models: (components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"] | components["schemas"]["VAEDiffusersConfig"] | components["schemas"]["VAECheckpointConfig"] | components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"] | components["schemas"]["LoRALyCORISConfig"] | components["schemas"]["LoRADiffusersConfig"] | components["schemas"]["TextualInversionFileConfig"] | components["schemas"]["TextualInversionFolderConfig"] | components["schemas"]["IPAdapterConfig"] | components["schemas"]["T2IAdapterConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"])[];
    };
    /**
     * 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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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";
    };
    /** 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"][];
    };
    /** PaginatedResults[WorkflowRecordListItemDTO] */
    PaginatedResults_WorkflowRecordListItemDTO_: {
      /**
       * Page
       * @description Current Page
       */
      page: number;
      /**
       * Pages
       * @description Total number of pages
       */
      pages: number;
      /**
       * Per Page
       * @description Number of items per page
       */
      per_page: number;
      /**
       * Total
       * @description Total number of items in result
       */
      total: number;
      /**
       * Items
       * @description Items
       */
      items: components["schemas"]["WorkflowRecordListItemDTO"][];
    };
    /**
     * Pair Tile with Image
     * @description Pair an image with its tile properties.
     */
    PairTileImageInvocation: {
      /**
       * 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 tile image. */
      image?: components["schemas"]["ImageField"];
      /** @description The tile properties. */
      tile?: components["schemas"]["Tile"];
      /**
       * type
       * @default pair_tile_image
       * @constant
       */
      type: "pair_tile_image";
    };
    /** PairTileImageOutput */
    PairTileImageOutput: {
      /** @description A tile description with its corresponding image. */
      tile_with_image: components["schemas"]["TileWithImage"];
      /**
       * type
       * @default pair_tile_image_output
       * @constant
       */
      type: "pair_tile_image_output";
    };
    /**
     * PIDI Processor
     * @description Applies PIDI processing to image
     */
    PidiImageProcessorInvocation: {
      /** @description The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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";
    };
    /**
     * RemoteModelFile
     * @description Information about a downloadable file that forms part of a model.
     */
    RemoteModelFile: {
      /**
       * Url
       * Format: uri
       * @description The url to download this model file
       */
      url: string;
      /**
       * Path
       * Format: path
       * @description The path to the file, relative to the model root
       */
      path: string;
      /**
       * Size
       * @description The size of this file, in bytes
       */
      size: number;
      /**
       * Sha256
       * @description SHA256 hash of this model (not always available)
       */
      sha256?: string | null;
    };
    /** 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"]["ModelField"];
      /**
       * 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)
       * @default null
       */
      unet: components["schemas"]["UNetField"] | null;
      /**
       * CLIP 1
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       * @default null
       */
      clip: components["schemas"]["ClipField"] | null;
      /**
       * CLIP 2
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       * @default null
       */
      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"]["ModelField"];
      /**
       * 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"]["ModelField"];
      /**
       * 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";
    };
    /**
     * SQLiteDirection
     * @enum {string}
     */
    SQLiteDirection: "ASC" | "DESC";
    /**
     * Save Image
     * @description Saves an image. Unlike an image primitive, this invocation stores a copy of the image.
     */
    SaveImageInvocation: {
      /** @description The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 false
       */
      use_cache?: boolean;
      /** @description The image to process */
      image?: components["schemas"]["ImageField"];
      /**
       * 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";
    };
    /**
     * SchedulerPredictionType
     * @description Scheduler prediction type.
     * @enum {string}
     */
    SchedulerPredictionType: "epsilon" | "v_prediction" | "sample";
    /**
     * 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)
       * @default null
       */
      unet: components["schemas"]["UNetField"] | null;
      /**
       * VAE
       * @description VAE
       * @default null
       */
      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 The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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"];
      /** @description The workflow associated with this queue item */
      workflow?: components["schemas"]["WorkflowWithoutID"] | null;
    };
    /** 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";
    };
    /**
     * 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
     * @description Submodel type.
     * @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";
    };
    /**
     * T2IAdapterConfig
     * @description Model config for T2I.
     */
    T2IAdapterConfig: {
      /**
       * Key
       * @description A unique key for this model.
       */
      key: string;
      /**
       * Hash
       * @description The hash of the model file(s).
       */
      hash: string;
      /**
       * Path
       * @description Path to the model on the filesystem. Relative paths are relative to the Invoke root directory.
       */
      path: string;
      /**
       * Name
       * @description Name of the model.
       */
      name: string;
      /** @description The base model. */
      base: components["schemas"]["BaseModelType"];
      /**
       * Description
       * @description Model description
       */
      description?: string | null;
      /**
       * Source
       * @description The original source of the model (path, URL or repo_id).
       */
      source: string;
      /** @description The type of source */
      source_type: components["schemas"]["ModelSourceType"];
      /**
       * Source Api Response
       * @description The original API response from the source, as stringified JSON.
       */
      source_api_response?: string | null;
      /**
       * Trigger Phrases
       * @description Set of trigger phrases for this model
       */
      trigger_phrases?: string[] | null;
      /** @description Default settings for this model */
      default_settings?: components["schemas"]["ModelDefaultSettings"] | null;
      /**
       * Type
       * @default t2i_adapter
       * @constant
       */
      type: "t2i_adapter";
      /**
       * Format
       * @constant
       */
      format: "diffusers";
    };
    /** T2IAdapterField */
    T2IAdapterField: {
      /** @description The T2I-Adapter image prompt. */
      image: components["schemas"]["ImageField"];
      /** @description The T2I-Adapter model to use. */
      t2i_adapter_model: components["schemas"]["ModelField"];
      /**
       * 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"]["ModelField"];
      /**
       * 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";
    };
    /** T2IAdapterMetadataField */
    T2IAdapterMetadataField: {
      /** @description The T2I-Adapter image prompt. */
      image: components["schemas"]["ImageField"];
      /** @description The T2I-Adapter model to use. */
      t2i_adapter_model: components["schemas"]["ModelMetadataField"];
      /**
       * 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";
    };
    /** 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";
    };
    /** TBLR */
    TBLR: {
      /** Top */
      top: number;
      /** Bottom */
      bottom: number;
      /** Left */
      left: number;
      /** Right */
      right: number;
    };
    /**
     * TextualInversionFileConfig
     * @description Model config for textual inversion embeddings.
     */
    TextualInversionFileConfig: {
      /**
       * Key
       * @description A unique key for this model.
       */
      key: string;
      /**
       * Hash
       * @description The hash of the model file(s).
       */
      hash: string;
      /**
       * Path
       * @description Path to the model on the filesystem. Relative paths are relative to the Invoke root directory.
       */
      path: string;
      /**
       * Name
       * @description Name of the model.
       */
      name: string;
      /** @description The base model. */
      base: components["schemas"]["BaseModelType"];
      /**
       * Description
       * @description Model description
       */
      description?: string | null;
      /**
       * Source
       * @description The original source of the model (path, URL or repo_id).
       */
      source: string;
      /** @description The type of source */
      source_type: components["schemas"]["ModelSourceType"];
      /**
       * Source Api Response
       * @description The original API response from the source, as stringified JSON.
       */
      source_api_response?: string | null;
      /**
       * Trigger Phrases
       * @description Set of trigger phrases for this model
       */
      trigger_phrases?: string[] | null;
      /** @description Default settings for this model */
      default_settings?: components["schemas"]["ModelDefaultSettings"] | null;
      /**
       * Type
       * @default embedding
       * @constant
       */
      type: "embedding";
      /**
       * Format
       * @default embedding_file
       * @constant
       */
      format: "embedding_file";
    };
    /**
     * TextualInversionFolderConfig
     * @description Model config for textual inversion embeddings.
     */
    TextualInversionFolderConfig: {
      /**
       * Key
       * @description A unique key for this model.
       */
      key: string;
      /**
       * Hash
       * @description The hash of the model file(s).
       */
      hash: string;
      /**
       * Path
       * @description Path to the model on the filesystem. Relative paths are relative to the Invoke root directory.
       */
      path: string;
      /**
       * Name
       * @description Name of the model.
       */
      name: string;
      /** @description The base model. */
      base: components["schemas"]["BaseModelType"];
      /**
       * Description
       * @description Model description
       */
      description?: string | null;
      /**
       * Source
       * @description The original source of the model (path, URL or repo_id).
       */
      source: string;
      /** @description The type of source */
      source_type: components["schemas"]["ModelSourceType"];
      /**
       * Source Api Response
       * @description The original API response from the source, as stringified JSON.
       */
      source_api_response?: string | null;
      /**
       * Trigger Phrases
       * @description Set of trigger phrases for this model
       */
      trigger_phrases?: string[] | null;
      /** @description Default settings for this model */
      default_settings?: components["schemas"]["ModelDefaultSettings"] | null;
      /**
       * Type
       * @default embedding
       * @constant
       */
      type: "embedding";
      /**
       * Format
       * @default embedding_folder
       * @constant
       */
      format: "embedding_folder";
    };
    /** Tile */
    Tile: {
      /** @description The coordinates of this tile relative to its parent image. */
      coords: components["schemas"]["TBLR"];
      /** @description The amount of overlap with adjacent tiles on each side of this tile. */
      overlap: components["schemas"]["TBLR"];
    };
    /**
     * Tile Resample Processor
     * @description Tile resampler processor
     */
    TileResamplerProcessorInvocation: {
      /** @description The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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";
    };
    /**
     * Tile to Properties
     * @description Split a Tile into its individual properties.
     */
    TileToPropertiesInvocation: {
      /**
       * 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 tile to split into properties. */
      tile?: components["schemas"]["Tile"];
      /**
       * type
       * @default tile_to_properties
       * @constant
       */
      type: "tile_to_properties";
    };
    /** TileToPropertiesOutput */
    TileToPropertiesOutput: {
      /**
       * Coords Left
       * @description Left coordinate of the tile relative to its parent image.
       */
      coords_left: number;
      /**
       * Coords Right
       * @description Right coordinate of the tile relative to its parent image.
       */
      coords_right: number;
      /**
       * Coords Top
       * @description Top coordinate of the tile relative to its parent image.
       */
      coords_top: number;
      /**
       * Coords Bottom
       * @description Bottom coordinate of the tile relative to its parent image.
       */
      coords_bottom: number;
      /**
       * Width
       * @description The width of the tile. Equal to coords_right - coords_left.
       */
      width: number;
      /**
       * Height
       * @description The height of the tile. Equal to coords_bottom - coords_top.
       */
      height: number;
      /**
       * Overlap Top
       * @description Overlap between this tile and its top neighbor.
       */
      overlap_top: number;
      /**
       * Overlap Bottom
       * @description Overlap between this tile and its bottom neighbor.
       */
      overlap_bottom: number;
      /**
       * Overlap Left
       * @description Overlap between this tile and its left neighbor.
       */
      overlap_left: number;
      /**
       * Overlap Right
       * @description Overlap between this tile and its right neighbor.
       */
      overlap_right: number;
      /**
       * type
       * @default tile_to_properties_output
       * @constant
       */
      type: "tile_to_properties_output";
    };
    /** TileWithImage */
    TileWithImage: {
      tile: components["schemas"]["Tile"];
      image: components["schemas"]["ImageField"];
    };
    /** UNetField */
    UNetField: {
      /** @description Info to load unet submodel */
      unet: components["schemas"]["ModelField"];
      /** @description Info to load scheduler submodel */
      scheduler: components["schemas"]["ModelField"];
      /**
       * Loras
       * @description Loras to apply on model loading
       */
      loras: components["schemas"]["LoRAField"][];
      /**
       * Seamless Axes
       * @description Axes("x" and "y") to which apply seamless
       */
      seamless_axes?: string[];
      /**
       * @description FreeU configuration
       * @default null
       */
      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";
    };
    /**
     * URLModelSource
     * @description A generic URL point to a checkpoint file.
     */
    URLModelSource: {
      /**
       * Url
       * Format: uri
       */
      url: string;
      /** Access Token */
      access_token?: string | null;
      /**
       * Type
       * @default url
       * @constant
       */
      type?: "url";
    };
    /**
     * Unsharp Mask
     * @description Applies an unsharp mask filter to an image
     */
    UnsharpMaskInvocation: {
      /** @description The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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 use */
      image?: components["schemas"]["ImageField"];
      /**
       * Radius
       * @description Unsharp mask radius
       * @default 2
       */
      radius?: number;
      /**
       * Strength
       * @description Unsharp mask strength
       * @default 50
       */
      strength?: number;
      /**
       * type
       * @default unsharp_mask
       * @constant
       */
      type: "unsharp_mask";
    };
    /** 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[];
    };
    /**
     * VAECheckpointConfig
     * @description Model config for standalone VAE models.
     */
    VAECheckpointConfig: {
      /**
       * Key
       * @description A unique key for this model.
       */
      key: string;
      /**
       * Hash
       * @description The hash of the model file(s).
       */
      hash: string;
      /**
       * Path
       * @description Path to the model on the filesystem. Relative paths are relative to the Invoke root directory.
       */
      path: string;
      /**
       * Name
       * @description Name of the model.
       */
      name: string;
      /** @description The base model. */
      base: components["schemas"]["BaseModelType"];
      /**
       * Description
       * @description Model description
       */
      description?: string | null;
      /**
       * Source
       * @description The original source of the model (path, URL or repo_id).
       */
      source: string;
      /** @description The type of source */
      source_type: components["schemas"]["ModelSourceType"];
      /**
       * Source Api Response
       * @description The original API response from the source, as stringified JSON.
       */
      source_api_response?: string | null;
      /**
       * Trigger Phrases
       * @description Set of trigger phrases for this model
       */
      trigger_phrases?: string[] | null;
      /** @description Default settings for this model */
      default_settings?: components["schemas"]["ModelDefaultSettings"] | null;
      /**
       * Format
       * @default checkpoint
       * @constant
       */
      format: "checkpoint";
      /**
       * Config Path
       * @description path to the checkpoint model config file
       */
      config_path: string;
      /**
       * Converted At
       * @description When this model was last converted to diffusers
       */
      converted_at?: number | null;
      /**
       * Type
       * @default vae
       * @constant
       */
      type: "vae";
    };
    /**
     * VAEDiffusersConfig
     * @description Model config for standalone VAE models (diffusers version).
     */
    VAEDiffusersConfig: {
      /**
       * Key
       * @description A unique key for this model.
       */
      key: string;
      /**
       * Hash
       * @description The hash of the model file(s).
       */
      hash: string;
      /**
       * Path
       * @description Path to the model on the filesystem. Relative paths are relative to the Invoke root directory.
       */
      path: string;
      /**
       * Name
       * @description Name of the model.
       */
      name: string;
      /** @description The base model. */
      base: components["schemas"]["BaseModelType"];
      /**
       * Description
       * @description Model description
       */
      description?: string | null;
      /**
       * Source
       * @description The original source of the model (path, URL or repo_id).
       */
      source: string;
      /** @description The type of source */
      source_type: components["schemas"]["ModelSourceType"];
      /**
       * Source Api Response
       * @description The original API response from the source, as stringified JSON.
       */
      source_api_response?: string | null;
      /**
       * Trigger Phrases
       * @description Set of trigger phrases for this model
       */
      trigger_phrases?: string[] | null;
      /** @description Default settings for this model */
      default_settings?: components["schemas"]["ModelDefaultSettings"] | null;
      /**
       * Type
       * @default vae
       * @constant
       */
      type: "vae";
      /**
       * Format
       * @default diffusers
       * @constant
       */
      format: "diffusers";
    };
    /**
     * 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";
    };
    /** VaeField */
    VaeField: {
      /** @description Info to load vae submodel */
      vae: components["schemas"]["ModelField"];
      /**
       * 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"]["ModelField"];
      /**
       * type
       * @default vae_loader
       * @constant
       */
      type: "vae_loader";
    };
    /** ValidationError */
    ValidationError: {
      /** Location */
      loc: (string | number)[];
      /** Message */
      msg: string;
      /** Error Type */
      type: string;
    };
    /** Workflow */
    Workflow: {
      /**
       * Name
       * @description The name of the workflow.
       */
      name: string;
      /**
       * Author
       * @description The author of the workflow.
       */
      author: string;
      /**
       * Description
       * @description The description of the workflow.
       */
      description: string;
      /**
       * Version
       * @description The version of the workflow.
       */
      version: string;
      /**
       * Contact
       * @description The contact of the workflow.
       */
      contact: string;
      /**
       * Tags
       * @description The tags of the workflow.
       */
      tags: string;
      /**
       * Notes
       * @description The notes of the workflow.
       */
      notes: string;
      /**
       * Exposedfields
       * @description The exposed fields of the workflow.
       */
      exposedFields: components["schemas"]["ExposedField"][];
      /** @description The meta of the workflow. */
      meta: components["schemas"]["WorkflowMeta"];
      /**
       * Nodes
       * @description The nodes of the workflow.
       */
      nodes: {
          [key: string]: components["schemas"]["JsonValue"];
        }[];
      /**
       * Edges
       * @description The edges of the workflow.
       */
      edges: {
          [key: string]: components["schemas"]["JsonValue"];
        }[];
      /**
       * Id
       * @description The id of the workflow.
       */
      id: string;
    };
    /**
     * WorkflowCategory
     * @enum {string}
     */
    WorkflowCategory: "user" | "default" | "project";
    /** WorkflowMeta */
    WorkflowMeta: {
      /**
       * Version
       * @description The version of the workflow schema.
       */
      version: string;
      /**
       * @description The category of the workflow (user or default).
       * @default user
       */
      category?: components["schemas"]["WorkflowCategory"];
    };
    /** WorkflowRecordDTO */
    WorkflowRecordDTO: {
      /**
       * Workflow Id
       * @description The id of the workflow.
       */
      workflow_id: string;
      /**
       * Name
       * @description The name of the workflow.
       */
      name: string;
      /**
       * Created At
       * @description The created timestamp of the workflow.
       */
      created_at: string;
      /**
       * Updated At
       * @description The updated timestamp of the workflow.
       */
      updated_at: string;
      /**
       * Opened At
       * @description The opened timestamp of the workflow.
       */
      opened_at: string;
      /** @description The workflow. */
      workflow: components["schemas"]["Workflow"];
    };
    /** WorkflowRecordListItemDTO */
    WorkflowRecordListItemDTO: {
      /**
       * Workflow Id
       * @description The id of the workflow.
       */
      workflow_id: string;
      /**
       * Name
       * @description The name of the workflow.
       */
      name: string;
      /**
       * Created At
       * @description The created timestamp of the workflow.
       */
      created_at: string;
      /**
       * Updated At
       * @description The updated timestamp of the workflow.
       */
      updated_at: string;
      /**
       * Opened At
       * @description The opened timestamp of the workflow.
       */
      opened_at: string;
      /**
       * Description
       * @description The description of the workflow.
       */
      description: string;
      /** @description The description of the workflow. */
      category: components["schemas"]["WorkflowCategory"];
    };
    /**
     * WorkflowRecordOrderBy
     * @description The order by options for workflow records
     * @enum {string}
     */
    WorkflowRecordOrderBy: "created_at" | "updated_at" | "opened_at" | "name";
    /** WorkflowWithoutID */
    WorkflowWithoutID: {
      /**
       * Name
       * @description The name of the workflow.
       */
      name: string;
      /**
       * Author
       * @description The author of the workflow.
       */
      author: string;
      /**
       * Description
       * @description The description of the workflow.
       */
      description: string;
      /**
       * Version
       * @description The version of the workflow.
       */
      version: string;
      /**
       * Contact
       * @description The contact of the workflow.
       */
      contact: string;
      /**
       * Tags
       * @description The tags of the workflow.
       */
      tags: string;
      /**
       * Notes
       * @description The notes of the workflow.
       */
      notes: string;
      /**
       * Exposedfields
       * @description The exposed fields of the workflow.
       */
      exposedFields: components["schemas"]["ExposedField"][];
      /** @description The meta of the workflow. */
      meta: components["schemas"]["WorkflowMeta"];
      /**
       * Nodes
       * @description The nodes of the workflow.
       */
      nodes: {
          [key: string]: components["schemas"]["JsonValue"];
        }[];
      /**
       * Edges
       * @description The edges of the workflow.
       */
      edges: {
          [key: string]: components["schemas"]["JsonValue"];
        }[];
    };
    /**
     * Zoe (Depth) Processor
     * @description Applies Zoe depth processing to image
     */
    ZoeDepthImageProcessorInvocation: {
      /** @description The board to save the image to */
      board?: components["schemas"]["BoardField"] | 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";
    };
    /**
     * Classification
     * @description The classification of an Invocation.
     * - `Stable`: The invocation, including its inputs/outputs and internal logic, is stable. You may build workflows with it, having confidence that they will not break because of a change in this invocation.
     * - `Beta`: The invocation is not yet stable, but is planned to be stable in the future. Workflows built around this invocation may break, but we are committed to supporting this invocation long-term.
     * - `Prototype`: The invocation is not yet stable and may be removed from the application at any time. Workflows built around this invocation may break, and we are *not* committed to supporting this invocation.
     * @enum {string}
     */
    Classification: "stable" | "beta" | "prototype";
    /**
     * 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;
      /**
       * @description The node's classification
       * @default stable
       */
      classification: components["schemas"]["Classification"];
    };
    /**
     * 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";
  };
  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 = {

  /**
   * 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 Model Records
   * @description Get a list of models.
   */
  list_model_records: {
    parameters: {
      query?: {
        /** @description Base models to include */
        base_models?: components["schemas"]["BaseModelType"][] | null;
        /** @description The type of model to get */
        model_type?: components["schemas"]["ModelType"] | null;
        /** @description Exact match on the name of the model */
        model_name?: string | null;
        /** @description Exact match on the format of the model (e.g. 'diffusers') */
        model_format?: components["schemas"]["ModelFormat"] | null;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["ModelsList"];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Get Model Records By Attrs
   * @description Gets a model by its attributes. The main use of this route is to provide backwards compatibility with the old
   * model manager, which identified models by a combination of name, base and type.
   */
  get_model_records_by_attrs: {
    parameters: {
      query: {
        /** @description The name of the model */
        name: string;
        /** @description The type of the model */
        type: components["schemas"]["ModelType"];
        /** @description The base model of the model */
        base: components["schemas"]["BaseModelType"];
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"] | components["schemas"]["VAEDiffusersConfig"] | components["schemas"]["VAECheckpointConfig"] | components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"] | components["schemas"]["LoRALyCORISConfig"] | components["schemas"]["LoRADiffusersConfig"] | components["schemas"]["TextualInversionFileConfig"] | components["schemas"]["TextualInversionFolderConfig"] | components["schemas"]["IPAdapterConfig"] | components["schemas"]["T2IAdapterConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"];
        };
      };
      /** @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 The model configuration was retrieved successfully */
      200: {
        content: {
          "application/json": components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"] | components["schemas"]["VAEDiffusersConfig"] | components["schemas"]["VAECheckpointConfig"] | components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"] | components["schemas"]["LoRALyCORISConfig"] | components["schemas"]["LoRADiffusersConfig"] | components["schemas"]["TextualInversionFileConfig"] | components["schemas"]["TextualInversionFolderConfig"] | components["schemas"]["IPAdapterConfig"] | components["schemas"]["T2IAdapterConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"];
        };
      };
      /** @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"];
        };
      };
    };
  };
  /**
   * Delete Model
   * @description Delete model record from database.
   *
   * The configuration record will be removed. The corresponding weights files will be
   * deleted as well if they reside within the InvokeAI "models" directory.
   */
  delete_model: {
    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 a model's config.
   */
  update_model_record: {
    parameters: {
      path: {
        /** @description Unique key of model */
        key: string;
      };
    };
    requestBody: {
      content: {
        /**
         * @example {
         *   "path": "/path/to/model",
         *   "name": "model_name",
         *   "base": "sd-1",
         *   "type": "main",
         *   "format": "checkpoint",
         *   "config_path": "configs/stable-diffusion/v1-inference.yaml",
         *   "description": "Model description",
         *   "variant": "normal"
         * }
         */
        "application/json": components["schemas"]["ModelRecordChanges"];
      };
    };
    responses: {
      /** @description The model was updated successfully */
      200: {
        content: {
          "application/json": components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"] | components["schemas"]["VAEDiffusersConfig"] | components["schemas"]["VAECheckpointConfig"] | components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"] | components["schemas"]["LoRALyCORISConfig"] | components["schemas"]["LoRADiffusersConfig"] | components["schemas"]["TextualInversionFileConfig"] | components["schemas"]["TextualInversionFolderConfig"] | components["schemas"]["IPAdapterConfig"] | components["schemas"]["T2IAdapterConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"];
        };
      };
      /** @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"];
        };
      };
    };
  };
  /** Scan For Models */
  scan_for_models: {
    parameters: {
      query?: {
        /** @description Directory path to search for models */
        scan_path?: string;
      };
    };
    responses: {
      /** @description Directory scanned successfully */
      200: {
        content: {
          "application/json": components["schemas"]["FoundModel"][];
        };
      };
      /** @description Invalid directory path */
      400: {
        content: never;
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * List Model Installs
   * @description Return the list of model install jobs.
   *
   * Install jobs have a numeric `id`, a `status`, and other fields that provide information on
   * the nature of the job and its progress. The `status` is one of:
   *
   * * "waiting" -- Job is waiting in the queue to run
   * * "downloading" -- Model file(s) are downloading
   * * "running" -- Model has downloaded and the model probing and registration process is running
   * * "completed" -- Installation completed successfully
   * * "error" -- An error occurred. Details will be in the "error_type" and "error" fields.
   * * "cancelled" -- Job was cancelled before completion.
   *
   * Once completed, information about the model such as its size, base
   * model and type can be retrieved from the `config_out` field. For multi-file models such as diffusers,
   * information on individual files can be retrieved from `download_parts`.
   *
   * See the example and schema below for more information.
   */
  list_model_installs: {
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["ModelInstallJob"][];
        };
      };
    };
  };
  /**
   * Install Model
   * @description Install a model using a string identifier.
   *
   * `source` can be any of the following.
   *
   * 1. A path on the local filesystem ('C:\users\fred\model.safetensors')
   * 2. A Url pointing to a single downloadable model file
   * 3. A HuggingFace repo_id with any of the following formats:
   *    - model/name
   *    - model/name:fp16:vae
   *    - model/name::vae          -- use default precision
   *    - model/name:fp16:path/to/model.safetensors
   *    - model/name::path/to/model.safetensors
   *
   * `config` is an optional dict containing model configuration values that will override
   * the ones that are probed automatically.
   *
   * `access_token` is an optional access token for use with Urls that require
   * authentication.
   *
   * Models will be downloaded, probed, configured and installed in a
   * series of background threads. The return object has `status` attribute
   * that can be used to monitor progress.
   *
   * See the documentation for `import_model_record` for more information on
   * interpreting the job information returned by this route.
   */
  install_model: {
    parameters: {
      query: {
        /** @description Model source to install, can be a local path, repo_id, or remote URL */
        source: string;
        /** @description Whether or not to install a local model in place */
        inplace?: boolean | null;
        access_token?: string | null;
      };
    };
    requestBody?: {
      content: {
        /**
         * @example {
         *   "name": "string",
         *   "description": "string"
         * }
         */
        "application/json": Record<string, never> | null;
      };
    };
    responses: {
      /** @description The model imported successfully */
      201: {
        content: {
          "application/json": components["schemas"]["ModelInstallJob"];
        };
      };
      /** @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;
      };
    };
  };
  /**
   * Prune Model Install Jobs
   * @description Prune all completed and errored jobs from the install job list.
   */
  prune_model_install_jobs: {
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": unknown;
        };
      };
      /** @description All completed and errored jobs have been pruned */
      204: {
        content: never;
      };
      /** @description Bad request */
      400: {
        content: never;
      };
    };
  };
  /**
   * Get Model Install Job
   * @description Return model install job corresponding to the given source. See the documentation for 'List Model Install Jobs'
   * for information on the format of the return value.
   */
  get_model_install_job: {
    parameters: {
      path: {
        /** @description Model install id */
        id: number;
      };
    };
    responses: {
      /** @description Success */
      200: {
        content: {
          "application/json": components["schemas"]["ModelInstallJob"];
        };
      };
      /** @description No such job */
      404: {
        content: never;
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Cancel Model Install Job
   * @description Cancel the model install job(s) corresponding to the given job ID.
   */
  cancel_model_install_job: {
    parameters: {
      path: {
        /** @description Model install job ID */
        id: number;
      };
    };
    responses: {
      /** @description The job was cancelled successfully */
      201: {
        content: {
          "application/json": unknown;
        };
      };
      /** @description No such job */
      415: {
        content: never;
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Sync Models To Config
   * @description Traverse the models and autoimport directories.
   *
   * Model files without a corresponding
   * record in the database are added. Orphan records without a models file are deleted.
   */
  sync_models_to_config: {
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": unknown;
        };
      };
      /** @description Model config record database resynced with files on disk */
      204: {
        content: never;
      };
      /** @description Bad request */
      400: {
        content: never;
      };
    };
  };
  /**
   * Convert Model
   * @description Permanently convert a model into diffusers format, replacing the safetensors version.
   * Note that during the conversion process the key and model hash will change.
   * The return value is the model configuration for the converted model.
   */
  convert_model: {
    parameters: {
      path: {
        /** @description Unique key of the safetensors main model to convert to diffusers format. */
        key: string;
      };
    };
    responses: {
      /** @description Model converted successfully */
      200: {
        content: {
          "application/json": components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"] | components["schemas"]["VAEDiffusersConfig"] | components["schemas"]["VAECheckpointConfig"] | components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"] | components["schemas"]["LoRALyCORISConfig"] | components["schemas"]["LoRADiffusersConfig"] | components["schemas"]["TextualInversionFileConfig"] | components["schemas"]["TextualInversionFolderConfig"] | components["schemas"]["IPAdapterConfig"] | components["schemas"]["T2IAdapterConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"];
        };
      };
      /** @description Bad request */
      400: {
        content: never;
      };
      /** @description Model not found */
      404: {
        content: never;
      };
      /** @description There is already a model registered at this location */
      409: {
        content: never;
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * List Downloads
   * @description Get a list of active and inactive jobs.
   */
  list_downloads: {
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["DownloadJob"][];
        };
      };
    };
  };
  /**
   * Prune Downloads
   * @description Prune completed and errored jobs.
   */
  prune_downloads: {
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": unknown;
        };
      };
      /** @description All completed jobs have been pruned */
      204: {
        content: never;
      };
      /** @description Bad request */
      400: {
        content: never;
      };
    };
  };
  /**
   * Download
   * @description Download the source URL to the file or directory indicted in dest.
   */
  download: {
    requestBody: {
      content: {
        "application/json": components["schemas"]["Body_download"];
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["DownloadJob"];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Get Download Job
   * @description Get a download job using its ID.
   */
  get_download_job: {
    parameters: {
      path: {
        /** @description ID of the download job to fetch. */
        id: number;
      };
    };
    responses: {
      /** @description Success */
      200: {
        content: {
          "application/json": components["schemas"]["DownloadJob"];
        };
      };
      /** @description The requested download JobID could not be found */
      404: {
        content: never;
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Cancel Download Job
   * @description Cancel a download job using its ID.
   */
  cancel_download_job: {
    parameters: {
      path: {
        /** @description ID of the download job to cancel. */
        id: number;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": unknown;
        };
      };
      /** @description Job has been cancelled */
      204: {
        content: never;
      };
      /** @description The requested download JobID could not be found */
      404: {
        content: never;
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Cancel All Download Jobs
   * @description Cancel all download jobs.
   */
  cancel_all_download_jobs: {
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": unknown;
        };
      };
      /** @description Download jobs have been cancelled */
      204: {
        content: never;
      };
    };
  };
  /**
   * 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 Workflow */
  get_image_workflow: {
    parameters: {
      path: {
        /** @description The name of image whose workflow to get */
        image_name: string;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["WorkflowWithoutID"] | 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 */
      202: {
        content: {
          "application/json": components["schemas"]["ImagesDownloaded"];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Get Bulk Download Item
   * @description Gets a bulk download zip file
   */
  get_bulk_download_item: {
    parameters: {
      path: {
        /** @description The bulk_download_item_name of the bulk download item to get */
        bulk_download_item_name: string;
      };
    };
    responses: {
      /** @description Return the complete bulk download item */
      200: {
        content: {
          "application/zip": unknown;
        };
      };
      /** @description Image not found */
      404: {
        content: never;
      };
      /** @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 App Deps */
  get_app_deps: {
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["AppDependencyVersions"];
        };
      };
    };
  };
  /** 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"]["WorkflowRecordDTO"];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Delete Workflow
   * @description Deletes a workflow
   */
  delete_workflow: {
    parameters: {
      path: {
        /** @description The workflow to delete */
        workflow_id: string;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": unknown;
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Update Workflow
   * @description Updates a workflow
   */
  update_workflow: {
    requestBody: {
      content: {
        "application/json": components["schemas"]["Body_update_workflow"];
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["WorkflowRecordDTO"];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * List Workflows
   * @description Gets a page of workflows
   */
  list_workflows: {
    parameters: {
      query?: {
        /** @description The page to get */
        page?: number;
        /** @description The number of workflows per page */
        per_page?: number;
        /** @description The attribute to order by */
        order_by?: components["schemas"]["WorkflowRecordOrderBy"];
        /** @description The direction to order by */
        direction?: components["schemas"]["SQLiteDirection"];
        /** @description The category of workflow to get */
        category?: components["schemas"]["WorkflowCategory"];
        /** @description The text to query by (matches name and description) */
        query?: string | null;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["PaginatedResults_WorkflowRecordListItemDTO_"];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
  /**
   * Create Workflow
   * @description Creates a workflow
   */
  create_workflow: {
    requestBody: {
      content: {
        "application/json": components["schemas"]["Body_create_workflow"];
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          "application/json": components["schemas"]["WorkflowRecordDTO"];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          "application/json": components["schemas"]["HTTPValidationError"];
        };
      };
    };
  };
};