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

export type paths = {
  '/api/v1/sessions/': {
    /**
     * List Sessions
     * @description Gets a list of sessions, optionally searching
     */
    get: operations['list_sessions'];
    /**
     * Create Session
     * @description Creates a new session, optionally initializing it with an invocation graph
     */
    post: operations['create_session'];
  };
  '/api/v1/sessions/{session_id}': {
    /**
     * Get Session
     * @description Gets a session
     */
    get: operations['get_session'];
  };
  '/api/v1/sessions/{session_id}/nodes': {
    /**
     * Add Node
     * @description Adds a node to the graph
     */
    post: operations['add_node'];
  };
  '/api/v1/sessions/{session_id}/nodes/{node_path}': {
    /**
     * Update Node
     * @description Updates a node in the graph and removes all linked edges
     */
    put: operations['update_node'];
    /**
     * Delete Node
     * @description Deletes a node in the graph and removes all linked edges
     */
    delete: operations['delete_node'];
  };
  '/api/v1/sessions/{session_id}/edges': {
    /**
     * Add Edge
     * @description Adds an edge to the graph
     */
    post: operations['add_edge'];
  };
  '/api/v1/sessions/{session_id}/edges/{from_node_id}/{from_field}/{to_node_id}/{to_field}': {
    /**
     * Delete Edge
     * @description Deletes an edge from the graph
     */
    delete: operations['delete_edge'];
  };
  '/api/v1/sessions/{session_id}/invoke': {
    /**
     * Invoke Session
     * @description Invokes a session
     */
    put: operations['invoke_session'];
    /**
     * Cancel Session Invoke
     * @description Invokes a session
     */
    delete: operations['cancel_session_invoke'];
  };
  '/api/v1/models/': {
    /**
     * List Models
     * @description Gets a list of models
     */
    get: operations['list_models'];
  };
  '/api/v1/models/{base_model}/{model_type}/{model_name}': {
    /**
     * Delete Model
     * @description Delete Model
     */
    delete: operations['del_model'];
    /**
     * Update Model
     * @description Update model contents with a new config. If the model name or base fields are changed, then the model is renamed.
     */
    patch: operations['update_model'];
  };
  '/api/v1/models/import': {
    /**
     * Import Model
     * @description Add a model using its local path, repo_id, or remote URL. Model characteristics will be probed and configured automatically
     */
    post: operations['import_model'];
  };
  '/api/v1/models/add': {
    /**
     * Add Model
     * @description Add a model using the configuration information appropriate for its type. Only local models can be added by path
     */
    post: operations['add_model'];
  };
  '/api/v1/models/convert/{base_model}/{model_type}/{model_name}': {
    /**
     * Convert Model
     * @description Convert a checkpoint model into a diffusers model, optionally saving to the indicated destination directory, or `models` if none.
     */
    put: operations['convert_model'];
  };
  '/api/v1/models/search': {
    /** Search For Models */
    get: operations['search_for_models'];
  };
  '/api/v1/models/ckpt_confs': {
    /**
     * List Ckpt Configs
     * @description Return a list of the legacy checkpoint configuration files stored in `ROOT/configs/stable-diffusion`, relative to ROOT.
     */
    get: operations['list_ckpt_configs'];
  };
  '/api/v1/models/sync': {
    /**
     * Sync To Config
     * @description Call after making changes to models.yaml, autoimport directories or models directory to synchronize
     * in-memory data structures with disk data structures.
     */
    post: operations['sync_to_config'];
  };
  '/api/v1/models/merge/{base_model}': {
    /**
     * Merge Models
     * @description Convert a checkpoint model into a diffusers model
     */
    put: operations['merge_models'];
  };
  '/api/v1/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/clear-intermediates': {
    /**
     * Clear Intermediates
     * @description Clears all intermediates
     */
    post: operations['clear_intermediates'];
  };
  '/api/v1/images/i/{image_name}/metadata': {
    /**
     * Get Image Metadata
     * @description Gets an image's metadata
     */
    get: operations['get_image_metadata'];
  };
  '/api/v1/images/i/{image_name}/full': {
    /**
     * Get Image Full
     * @description Gets a full-resolution image file
     */
    get: operations['get_image_full'];
    /**
     * Get Image Full
     * @description Gets a full-resolution image file
     */
    head: operations['get_image_full'];
  };
  '/api/v1/images/i/{image_name}/thumbnail': {
    /**
     * Get Image Thumbnail
     * @description Gets a thumbnail image file
     */
    get: operations['get_image_thumbnail'];
  };
  '/api/v1/images/i/{image_name}/urls': {
    /**
     * Get Image Urls
     * @description Gets an image and thumbnail URL
     */
    get: operations['get_image_urls'];
  };
  '/api/v1/images/': {
    /**
     * List Image Dtos
     * @description Gets a list of image DTOs
     */
    get: operations['list_image_dtos'];
  };
  '/api/v1/images/delete': {
    /** Delete Images From List */
    post: operations['delete_images_from_list'];
  };
  '/api/v1/images/star': {
    /** Star Images In List */
    post: operations['star_images_in_list'];
  };
  '/api/v1/images/unstar': {
    /** Unstar Images In List */
    post: operations['unstar_images_in_list'];
  };
  '/api/v1/boards/': {
    /**
     * List Boards
     * @description Gets a list of boards
     */
    get: operations['list_boards'];
    /**
     * Create Board
     * @description Creates a board
     */
    post: operations['create_board'];
  };
  '/api/v1/boards/{board_id}': {
    /**
     * Get Board
     * @description Gets a board
     */
    get: operations['get_board'];
    /**
     * Delete Board
     * @description Deletes a board
     */
    delete: operations['delete_board'];
    /**
     * Update Board
     * @description Updates a board
     */
    patch: operations['update_board'];
  };
  '/api/v1/boards/{board_id}/image_names': {
    /**
     * List All Board Image Names
     * @description Gets a list of images for a board
     */
    get: operations['list_all_board_image_names'];
  };
  '/api/v1/board_images/': {
    /**
     * Add Image To Board
     * @description Creates a board_image
     */
    post: operations['add_image_to_board'];
    /**
     * Remove Image From Board
     * @description Removes an image from its board, if it had one
     */
    delete: operations['remove_image_from_board'];
  };
  '/api/v1/board_images/batch': {
    /**
     * Add Images To Board
     * @description Adds a list of images to a board
     */
    post: operations['add_images_to_board'];
  };
  '/api/v1/board_images/batch/delete': {
    /**
     * Remove Images From Board
     * @description Removes a list of images from their board, if they had one
     */
    post: operations['remove_images_from_board'];
  };
  '/api/v1/app/version': {
    /** Get Version */
    get: operations['app_version'];
  };
  '/api/v1/app/config': {
    /** Get Config */
    get: operations['get_config'];
  };
  '/api/v1/app/logging': {
    /**
     * Get Log Level
     * @description Returns the log level
     */
    get: operations['get_log_level'];
    /**
     * Set Log Level
     * @description Sets the log verbosity level
     */
    post: operations['set_log_level'];
  };
};

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 node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default add
       * @enum {string}
       */
      type: 'add';
      /**
       * A
       * @description The first number
       * @default 0
       */
      a?: number;
      /**
       * B
       * @description The second number
       * @default 0
       */
      b?: number;
    };
    /**
     * AppConfig
     * @description App Config Response
     */
    AppConfig: {
      /**
       * Infill Methods
       * @description List of available infill methods
       */
      infill_methods: string[];
      /**
       * Upscaling Methods
       * @description List of upscaling methods
       */
      upscaling_methods: components['schemas']['Upscaler'][];
      /**
       * Nsfw Methods
       * @description List of NSFW checking methods
       */
      nsfw_methods: string[];
      /**
       * Watermarking Methods
       * @description List of invisible watermark methods
       */
      watermarking_methods: string[];
    };
    /**
     * AppVersion
     * @description App Version Response
     */
    AppVersion: {
      /**
       * Version
       * @description App version
       */
      version: string;
    };
    /**
     * BaseModelType
     * @description An enumeration.
     * @enum {string}
     */
    BaseModelType: 'sd-1' | 'sd-2' | 'sdxl' | 'sdxl-refiner';
    /** BoardChanges */
    BoardChanges: {
      /**
       * Board Name
       * @description The board's new name.
       */
      board_name?: string;
      /**
       * Cover Image Name
       * @description The name of the board's new cover image.
       */
      cover_image_name?: string;
    };
    /**
     * BoardDTO
     * @description Deserialized board record with cover image URL and image count.
     */
    BoardDTO: {
      /**
       * Board Id
       * @description The unique ID of the board.
       */
      board_id: string;
      /**
       * Board Name
       * @description The name of the board.
       */
      board_name: string;
      /**
       * Created At
       * @description The created timestamp of the board.
       */
      created_at: string;
      /**
       * Updated At
       * @description The updated timestamp of the board.
       */
      updated_at: string;
      /**
       * Deleted At
       * @description The deleted timestamp of the board.
       */
      deleted_at?: string;
      /**
       * Cover Image Name
       * @description The name of the board's cover image.
       */
      cover_image_name?: string;
      /**
       * Image Count
       * @description The number of images in the board.
       */
      image_count: number;
    };
    /** Body_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_delete_images_from_list */
    Body_delete_images_from_list: {
      /**
       * Image Names
       * @description The list of names of images to delete
       */
      image_names: string[];
    };
    /** Body_import_model */
    Body_import_model: {
      /**
       * Location
       * @description A model path, repo_id or URL to import
       */
      location: string;
      /**
       * Prediction Type
       * @description Prediction type for SDv2 checkpoint files
       * @default v_prediction
       * @enum {string}
       */
      prediction_type?: 'v_prediction' | 'epsilon' | 'sample';
    };
    /** Body_merge_models */
    Body_merge_models: {
      /**
       * Model Names
       * @description model name
       */
      model_names: string[];
      /**
       * Merged Model Name
       * @description Name of destination model
       */
      merged_model_name: string;
      /**
       * Alpha
       * @description Alpha weighting strength to apply to 2d and 3d models
       * @default 0.5
       */
      alpha?: number;
      /** @description Interpolation method */
      interp: components['schemas']['MergeInterpolationMethod'];
      /**
       * Force
       * @description Force merging of models created with different versions of diffusers
       * @default false
       */
      force?: boolean;
      /**
       * Merge Dest Directory
       * @description Save the merged model to the designated directory (with 'merged_model_name' appended)
       */
      merge_dest_directory?: string;
    };
    /** Body_remove_image_from_board */
    Body_remove_image_from_board: {
      /**
       * Image Name
       * @description The name of the image to remove
       */
      image_name: string;
    };
    /** Body_remove_images_from_board */
    Body_remove_images_from_board: {
      /**
       * Image Names
       * @description The names of the images to remove
       */
      image_names: string[];
    };
    /** Body_star_images_in_list */
    Body_star_images_in_list: {
      /**
       * Image Names
       * @description The list of names of images to star
       */
      image_names: string[];
    };
    /** Body_unstar_images_in_list */
    Body_unstar_images_in_list: {
      /**
       * Image Names
       * @description The list of names of images to unstar
       */
      image_names: string[];
    };
    /** Body_upload_image */
    Body_upload_image: {
      /**
       * File
       * Format: binary
       */
      file: Blob;
    };
    /**
     * Boolean Collection
     * @description A collection of boolean primitive values
     */
    BooleanCollectionInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default boolean_collection
       * @enum {string}
       */
      type: 'boolean_collection';
      /**
       * Collection
       * @description The collection of boolean values
       * @default false
       */
      collection?: boolean[];
    };
    /**
     * BooleanCollectionOutput
     * @description Base class for nodes that output a collection of booleans
     */
    BooleanCollectionOutput: {
      /**
       * Type
       * @default boolean_collection_output
       * @enum {string}
       */
      type?: 'boolean_collection_output';
      /**
       * Collection
       * @description The output boolean collection
       */
      collection?: boolean[];
    };
    /**
     * Boolean
     * @description A boolean primitive value
     */
    BooleanInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default boolean
       * @enum {string}
       */
      type: 'boolean';
      /**
       * A
       * @description The boolean value
       * @default false
       */
      a?: boolean;
    };
    /**
     * BooleanOutput
     * @description Base class for nodes that output a single boolean
     */
    BooleanOutput: {
      /**
       * Type
       * @default boolean_output
       * @enum {string}
       */
      type?: 'boolean_output';
      /**
       * A
       * @description The output boolean
       */
      a: boolean;
    };
    /**
     * Canny Processor
     * @description Canny edge detection for ControlNet
     */
    CannyImageProcessorInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default canny_image_processor
       * @enum {string}
       */
      type: 'canny_image_processor';
      /**
       * Image
       * @description The image to process
       */
      image?: components['schemas']['ImageField'];
      /**
       * Low Threshold
       * @description The low threshold of the Canny pixel gradient (0-255)
       * @default 100
       */
      low_threshold?: number;
      /**
       * High Threshold
       * @description The high threshold of the Canny pixel gradient (0-255)
       * @default 200
       */
      high_threshold?: number;
    };
    /** ClipField */
    ClipField: {
      /**
       * Tokenizer
       * @description Info to load tokenizer submodel
       */
      tokenizer: components['schemas']['ModelInfo'];
      /**
       * Text Encoder
       * @description Info to load text_encoder submodel
       */
      text_encoder: components['schemas']['ModelInfo'];
      /**
       * Skipped Layers
       * @description Number of skipped layers in text_encoder
       */
      skipped_layers: number;
      /**
       * Loras
       * @description Loras to apply on model loading
       */
      loras: components['schemas']['LoraInfo'][];
    };
    /**
     * CLIP Skip
     * @description Skip layers in clip text_encoder model.
     */
    ClipSkipInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default clip_skip
       * @enum {string}
       */
      type: 'clip_skip';
      /**
       * 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;
    };
    /**
     * ClipSkipInvocationOutput
     * @description Clip skip node output
     */
    ClipSkipInvocationOutput: {
      /**
       * Type
       * @default clip_skip_output
       * @enum {string}
       */
      type?: 'clip_skip_output';
      /**
       * CLIP
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       */
      clip?: components['schemas']['ClipField'];
    };
    /**
     * CollectInvocation
     * @description Collects values into a collection
     */
    CollectInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default collect
       * @enum {string}
       */
      type: 'collect';
      /**
       * 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
       */
      collection?: unknown[];
    };
    /**
     * CollectInvocationOutput
     * @description Base class for all invocation outputs
     */
    CollectInvocationOutput: {
      /**
       * Type
       * @default collect_output
       * @enum {string}
       */
      type?: 'collect_output';
      /**
       * Collection
       * @description The collection of input items
       */
      collection: unknown[];
    };
    /**
     * ColorCollectionOutput
     * @description Base class for nodes that output a collection of colors
     */
    ColorCollectionOutput: {
      /**
       * Type
       * @default color_collection_output
       * @enum {string}
       */
      type?: 'color_collection_output';
      /**
       * Collection
       * @description The output colors
       */
      collection?: components['schemas']['ColorField'][];
    };
    /**
     * 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: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default color_correct
       * @enum {string}
       */
      type: 'color_correct';
      /**
       * Image
       * @description The image to color-correct
       */
      image?: components['schemas']['ImageField'];
      /**
       * Reference
       * @description Reference image for color-correction
       */
      reference?: components['schemas']['ImageField'];
      /**
       * Mask
       * @description Mask to use when applying color-correction
       */
      mask?: components['schemas']['ImageField'];
      /**
       * Mask Blur Radius
       * @description Mask blur radius
       * @default 8
       */
      mask_blur_radius?: number;
    };
    /**
     * 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 node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default color
       * @enum {string}
       */
      type: 'color';
      /**
       * Color
       * @description The color value
       * @default {
       *   "r": 0,
       *   "g": 0,
       *   "b": 0,
       *   "a": 255
       * }
       */
      color?: components['schemas']['ColorField'];
    };
    /**
     * ColorOutput
     * @description Base class for nodes that output a single color
     */
    ColorOutput: {
      /**
       * Type
       * @default color_output
       * @enum {string}
       */
      type?: 'color_output';
      /**
       * Color
       * @description The output color
       */
      color: components['schemas']['ColorField'];
    };
    /**
     * Compel Prompt
     * @description Parse prompt using compel package to conditioning.
     */
    CompelInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default compel
       * @enum {string}
       */
      type: 'compel';
      /**
       * Prompt
       * @description Prompt 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'];
    };
    /**
     * Conditioning Collection
     * @description A collection of conditioning tensor primitive values
     */
    ConditioningCollectionInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default conditioning_collection
       * @enum {string}
       */
      type: 'conditioning_collection';
      /**
       * Collection
       * @description The collection of conditioning tensors
       * @default 0
       */
      collection?: components['schemas']['ConditioningField'][];
    };
    /**
     * ConditioningCollectionOutput
     * @description Base class for nodes that output a collection of conditioning tensors
     */
    ConditioningCollectionOutput: {
      /**
       * Type
       * @default conditioning_collection_output
       * @enum {string}
       */
      type?: 'conditioning_collection_output';
      /**
       * Collection
       * @description The output conditioning tensors
       */
      collection?: components['schemas']['ConditioningField'][];
    };
    /**
     * 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 node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default conditioning
       * @enum {string}
       */
      type: 'conditioning';
      /**
       * Conditioning
       * @description Conditioning tensor
       */
      conditioning?: components['schemas']['ConditioningField'];
    };
    /**
     * ConditioningOutput
     * @description Base class for nodes that output a single conditioning tensor
     */
    ConditioningOutput: {
      /**
       * Type
       * @default conditioning_output
       * @enum {string}
       */
      type?: 'conditioning_output';
      /**
       * Conditioning
       * @description Conditioning tensor
       */
      conditioning: components['schemas']['ConditioningField'];
    };
    /**
     * Content Shuffle Processor
     * @description Applies content shuffle processing to image
     */
    ContentShuffleImageProcessorInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default content_shuffle_image_processor
       * @enum {string}
       */
      type: 'content_shuffle_image_processor';
      /**
       * Image
       * @description The image to process
       */
      image?: components['schemas']['ImageField'];
      /**
       * Detect Resolution
       * @description 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;
    };
    /** ControlField */
    ControlField: {
      /**
       * Image
       * @description The control image
       */
      image: components['schemas']['ImageField'];
      /**
       * Control Model
       * @description The ControlNet model to use
       */
      control_model: components['schemas']['ControlNetModelField'];
      /**
       * Control Weight
       * @description The weight given to the ControlNet
       * @default 1
       */
      control_weight?: number | number[];
      /**
       * Begin Step Percent
       * @description When the ControlNet is first applied (% of total steps)
       * @default 0
       */
      begin_step_percent?: number;
      /**
       * End Step Percent
       * @description When the ControlNet is last applied (% of total steps)
       * @default 1
       */
      end_step_percent?: number;
      /**
       * Control Mode
       * @description The control mode to use
       * @default balanced
       * @enum {string}
       */
      control_mode?: 'balanced' | 'more_prompt' | 'more_control' | 'unbalanced';
      /**
       * Resize Mode
       * @description The resize mode to use
       * @default just_resize
       * @enum {string}
       */
      resize_mode?:
        | 'just_resize'
        | 'crop_resize'
        | 'fill_resize'
        | 'just_resize_simple';
    };
    /**
     * ControlNet
     * @description Collects ControlNet info to pass to other nodes
     */
    ControlNetInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default controlnet
       * @enum {string}
       */
      type: 'controlnet';
      /**
       * Image
       * @description The control image
       */
      image?: components['schemas']['ImageField'];
      /**
       * Control Model
       * @description ControlNet model to load
       * @default lllyasviel/sd-controlnet-canny
       */
      control_model?: components['schemas']['ControlNetModelField'];
      /**
       * Control Weight
       * @description The weight given to the ControlNet
       * @default 1
       */
      control_weight?: number | number[];
      /**
       * Begin Step Percent
       * @description When the ControlNet is first applied (% of total steps)
       * @default 0
       */
      begin_step_percent?: number;
      /**
       * End Step Percent
       * @description When the ControlNet is last applied (% of total steps)
       * @default 1
       */
      end_step_percent?: number;
      /**
       * Control Mode
       * @description The control mode used
       * @default balanced
       * @enum {string}
       */
      control_mode?: 'balanced' | 'more_prompt' | 'more_control' | 'unbalanced';
      /**
       * Resize Mode
       * @description The resize mode used
       * @default just_resize
       * @enum {string}
       */
      resize_mode?:
        | 'just_resize'
        | 'crop_resize'
        | 'fill_resize'
        | 'just_resize_simple';
    };
    /** ControlNetModelCheckpointConfig */
    ControlNetModelCheckpointConfig: {
      /** Model Name */
      model_name: string;
      base_model: components['schemas']['BaseModelType'];
      /**
       * Model Type
       * @enum {string}
       */
      model_type: 'controlnet';
      /** Path */
      path: string;
      /** Description */
      description?: string;
      /**
       * Model Format
       * @enum {string}
       */
      model_format: 'checkpoint';
      error?: components['schemas']['ModelError'];
      /** Config */
      config: string;
    };
    /** ControlNetModelDiffusersConfig */
    ControlNetModelDiffusersConfig: {
      /** Model Name */
      model_name: string;
      base_model: components['schemas']['BaseModelType'];
      /**
       * Model Type
       * @enum {string}
       */
      model_type: 'controlnet';
      /** Path */
      path: string;
      /** Description */
      description?: string;
      /**
       * Model Format
       * @enum {string}
       */
      model_format: 'diffusers';
      error?: components['schemas']['ModelError'];
    };
    /**
     * ControlNetModelField
     * @description ControlNet model field
     */
    ControlNetModelField: {
      /**
       * Model Name
       * @description Name of the ControlNet model
       */
      model_name: string;
      /** @description Base model */
      base_model: components['schemas']['BaseModelType'];
    };
    /**
     * ControlOutput
     * @description node output for ControlNet info
     */
    ControlOutput: {
      /**
       * Type
       * @default control_output
       * @enum {string}
       */
      type?: 'control_output';
      /**
       * Control
       * @description ControlNet(s) to apply
       */
      control: components['schemas']['ControlField'];
    };
    /**
     * CoreMetadata
     * @description Core generation metadata for an image generated in InvokeAI.
     */
    CoreMetadata: {
      /**
       * App Version
       * @description The version of InvokeAI used to generate this image
       * @default 3.0.2post1
       */
      app_version?: string;
      /**
       * Generation Mode
       * @description The generation mode that output this image
       */
      generation_mode: string;
      /**
       * Positive Prompt
       * @description The positive prompt parameter
       */
      positive_prompt: string;
      /**
       * Negative Prompt
       * @description The negative prompt parameter
       */
      negative_prompt: string;
      /**
       * Width
       * @description The width parameter
       */
      width: number;
      /**
       * Height
       * @description The height parameter
       */
      height: number;
      /**
       * Seed
       * @description The seed used for noise generation
       */
      seed: number;
      /**
       * Rand Device
       * @description The device used for random number generation
       */
      rand_device: string;
      /**
       * Cfg Scale
       * @description The classifier-free guidance scale parameter
       */
      cfg_scale: number;
      /**
       * Steps
       * @description The number of steps used for inference
       */
      steps: number;
      /**
       * Scheduler
       * @description The scheduler used for inference
       */
      scheduler: string;
      /**
       * Clip Skip
       * @description The number of skipped CLIP layers
       */
      clip_skip: number;
      /**
       * Model
       * @description The main model used for inference
       */
      model: components['schemas']['MainModelField'];
      /**
       * Controlnets
       * @description The ControlNets used for inference
       */
      controlnets: components['schemas']['ControlField'][];
      /**
       * Loras
       * @description The LoRAs used for inference
       */
      loras: components['schemas']['LoRAMetadataField'][];
      /**
       * Vae
       * @description The VAE used for decoding, if the main model's default was not used
       */
      vae?: components['schemas']['VAEModelField'];
      /**
       * Strength
       * @description The strength used for latents-to-latents
       */
      strength?: number;
      /**
       * Init Image
       * @description The name of the initial image
       */
      init_image?: string;
      /**
       * Positive Style Prompt
       * @description The positive style prompt parameter
       */
      positive_style_prompt?: string;
      /**
       * Negative Style Prompt
       * @description The negative style prompt parameter
       */
      negative_style_prompt?: string;
      /**
       * Refiner Model
       * @description The SDXL Refiner model used
       */
      refiner_model?: components['schemas']['MainModelField'];
      /**
       * Refiner Cfg Scale
       * @description The classifier-free guidance scale parameter used for the refiner
       */
      refiner_cfg_scale?: number;
      /**
       * Refiner Steps
       * @description The number of steps used for the refiner
       */
      refiner_steps?: number;
      /**
       * Refiner Scheduler
       * @description The scheduler used for the refiner
       */
      refiner_scheduler?: string;
      /**
       * Refiner Positive Aesthetic Store
       * @description The aesthetic score used for the refiner
       */
      refiner_positive_aesthetic_store?: number;
      /**
       * Refiner Negative Aesthetic Store
       * @description The aesthetic score used for the refiner
       */
      refiner_negative_aesthetic_store?: number;
      /**
       * Refiner Start
       * @description The start value used for refiner denoising
       */
      refiner_start?: number;
    };
    /**
     * OpenCV Inpaint
     * @description Simple inpaint using opencv.
     */
    CvInpaintInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default cv_inpaint
       * @enum {string}
       */
      type: 'cv_inpaint';
      /**
       * Image
       * @description The image to inpaint
       */
      image?: components['schemas']['ImageField'];
      /**
       * Mask
       * @description The mask to use when inpainting
       */
      mask?: components['schemas']['ImageField'];
    };
    /** 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 node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default denoise_latents
       * @enum {string}
       */
      type: 'denoise_latents';
      /**
       * Noise
       * @description Noise tensor
       */
      noise?: components['schemas']['LatentsField'];
      /**
       * Steps
       * @description Number of steps to run
       * @default 10
       */
      steps?: number;
      /**
       * Cfg Scale
       * @description Classifier-Free Guidance scale
       * @default 7.5
       */
      cfg_scale?: number | number[];
      /**
       * 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';
      /**
       * Control
       * @description ControlNet(s) to apply
       */
      control?:
        | components['schemas']['ControlField']
        | components['schemas']['ControlField'][];
      /**
       * Latents
       * @description Latents tensor
       */
      latents?: components['schemas']['LatentsField'];
      /**
       * Mask
       * @description The mask to use for the operation
       */
      mask?: components['schemas']['ImageField'];
      /**
       * Positive Conditioning
       * @description Positive conditioning tensor
       */
      positive_conditioning?: components['schemas']['ConditioningField'];
      /**
       * Negative Conditioning
       * @description Negative conditioning tensor
       */
      negative_conditioning?: components['schemas']['ConditioningField'];
      /**
       * Unet
       * @description UNet (scheduler, LoRAs)
       */
      unet?: components['schemas']['UNetField'];
    };
    /**
     * Divide Integers
     * @description Divides two numbers
     */
    DivideInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default div
       * @enum {string}
       */
      type: 'div';
      /**
       * A
       * @description The first number
       * @default 0
       */
      a?: number;
      /**
       * B
       * @description The second number
       * @default 0
       */
      b?: number;
    };
    /**
     * Dynamic Prompt
     * @description Parses a prompt using adieyal/dynamicprompts' random or combinatorial generator
     */
    DynamicPromptInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default dynamic_prompt
       * @enum {string}
       */
      type: 'dynamic_prompt';
      /**
       * Prompt
       * @description The prompt to parse with dynamicprompts
       */
      prompt?: string;
      /**
       * Max Prompts
       * @description The number of prompts to generate
       * @default 1
       */
      max_prompts?: number;
      /**
       * Combinatorial
       * @description Whether to use the combinatorial generator
       * @default false
       */
      combinatorial?: boolean;
    };
    /**
     * Upscale (RealESRGAN)
     * @description Upscales an image using RealESRGAN.
     */
    ESRGANInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default esrgan
       * @enum {string}
       */
      type: 'esrgan';
      /**
       * Image
       * @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';
    };
    /** Edge */
    Edge: {
      /**
       * Source
       * @description The connection for the edge's from node and field
       */
      source: components['schemas']['EdgeConnection'];
      /**
       * Destination
       * @description The connection for the edge's to node and field
       */
      destination: components['schemas']['EdgeConnection'];
    };
    /** EdgeConnection */
    EdgeConnection: {
      /**
       * Node Id
       * @description The id of the node for this edge connection
       */
      node_id: string;
      /**
       * Field
       * @description The field for this connection
       */
      field: string;
    };
    /**
     * Float Collection
     * @description A collection of float primitive values
     */
    FloatCollectionInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default float_collection
       * @enum {string}
       */
      type: 'float_collection';
      /**
       * Collection
       * @description The collection of float values
       * @default 0
       */
      collection?: number[];
    };
    /**
     * FloatCollectionOutput
     * @description Base class for nodes that output a collection of floats
     */
    FloatCollectionOutput: {
      /**
       * Type
       * @default float_collection_output
       * @enum {string}
       */
      type?: 'float_collection_output';
      /**
       * Collection
       * @description The float collection
       */
      collection?: number[];
    };
    /**
     * Float
     * @description A float primitive value
     */
    FloatInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default float
       * @enum {string}
       */
      type: 'float';
      /**
       * Param
       * @description The float value
       * @default 0
       */
      param?: number;
    };
    /**
     * Float Range
     * @description Creates a range
     */
    FloatLinearRangeInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default float_range
       * @enum {string}
       */
      type: 'float_range';
      /**
       * Start
       * @description The first value of the range
       * @default 5
       */
      start?: number;
      /**
       * Stop
       * @description The last value of the range
       * @default 10
       */
      stop?: number;
      /**
       * Steps
       * @description number of values to interpolate over (including start and stop)
       * @default 30
       */
      steps?: number;
    };
    /**
     * FloatOutput
     * @description Base class for nodes that output a single float
     */
    FloatOutput: {
      /**
       * Type
       * @default float_output
       * @enum {string}
       */
      type?: 'float_output';
      /**
       * A
       * @description The output float
       */
      a: number;
    };
    /** Graph */
    Graph: {
      /**
       * Id
       * @description The id of this graph
       */
      id?: string;
      /**
       * Nodes
       * @description The nodes in this graph
       */
      nodes?: {
        [key: string]:
          | (
              | components['schemas']['ControlNetInvocation']
              | components['schemas']['ImageProcessorInvocation']
              | components['schemas']['MainModelLoaderInvocation']
              | components['schemas']['LoraLoaderInvocation']
              | components['schemas']['SDXLLoraLoaderInvocation']
              | components['schemas']['VaeLoaderInvocation']
              | components['schemas']['MetadataAccumulatorInvocation']
              | components['schemas']['RangeInvocation']
              | components['schemas']['RangeOfSizeInvocation']
              | components['schemas']['RandomRangeInvocation']
              | components['schemas']['ImageCollectionInvocation']
              | components['schemas']['CompelInvocation']
              | components['schemas']['SDXLCompelPromptInvocation']
              | components['schemas']['SDXLRefinerCompelPromptInvocation']
              | components['schemas']['ClipSkipInvocation']
              | components['schemas']['LoadImageInvocation']
              | components['schemas']['ShowImageInvocation']
              | components['schemas']['ImageCropInvocation']
              | components['schemas']['ImagePasteInvocation']
              | components['schemas']['MaskFromAlphaInvocation']
              | components['schemas']['ImageMultiplyInvocation']
              | components['schemas']['ImageChannelInvocation']
              | components['schemas']['ImageConvertInvocation']
              | components['schemas']['ImageBlurInvocation']
              | components['schemas']['ImageResizeInvocation']
              | components['schemas']['ImageScaleInvocation']
              | components['schemas']['ImageLerpInvocation']
              | components['schemas']['ImageInverseLerpInvocation']
              | components['schemas']['ImageNSFWBlurInvocation']
              | components['schemas']['ImageWatermarkInvocation']
              | components['schemas']['MaskEdgeInvocation']
              | components['schemas']['MaskCombineInvocation']
              | components['schemas']['ColorCorrectInvocation']
              | components['schemas']['ImageHueAdjustmentInvocation']
              | components['schemas']['ImageLuminosityAdjustmentInvocation']
              | components['schemas']['ImageSaturationAdjustmentInvocation']
              | components['schemas']['CvInpaintInvocation']
              | components['schemas']['InfillColorInvocation']
              | components['schemas']['InfillTileInvocation']
              | components['schemas']['InfillPatchMatchInvocation']
              | components['schemas']['DenoiseLatentsInvocation']
              | components['schemas']['LatentsToImageInvocation']
              | components['schemas']['ResizeLatentsInvocation']
              | components['schemas']['ScaleLatentsInvocation']
              | components['schemas']['ImageToLatentsInvocation']
              | components['schemas']['AddInvocation']
              | components['schemas']['SubtractInvocation']
              | components['schemas']['MultiplyInvocation']
              | components['schemas']['DivideInvocation']
              | components['schemas']['RandomIntInvocation']
              | components['schemas']['NoiseInvocation']
              | components['schemas']['ONNXPromptInvocation']
              | components['schemas']['ONNXTextToLatentsInvocation']
              | components['schemas']['ONNXLatentsToImageInvocation']
              | components['schemas']['ONNXSD1ModelLoaderInvocation']
              | components['schemas']['OnnxModelLoaderInvocation']
              | components['schemas']['DynamicPromptInvocation']
              | components['schemas']['PromptsFromFileInvocation']
              | components['schemas']['ParamIntInvocation']
              | components['schemas']['ParamFloatInvocation']
              | components['schemas']['ParamStringInvocation']
              | components['schemas']['ParamPromptInvocation']
              | components['schemas']['FloatLinearRangeInvocation']
              | components['schemas']['StepParamEasingInvocation']
              | components['schemas']['SDXLModelLoaderInvocation']
              | components['schemas']['SDXLRefinerModelLoaderInvocation']
              | components['schemas']['ESRGANInvocation']
              | components['schemas']['GraphInvocation']
              | components['schemas']['IterateInvocation']
              | components['schemas']['CollectInvocation']
              | components['schemas']['CannyImageProcessorInvocation']
              | components['schemas']['HedImageProcessorInvocation']
              | components['schemas']['LineartImageProcessorInvocation']
              | components['schemas']['LineartAnimeImageProcessorInvocation']
              | components['schemas']['OpenposeImageProcessorInvocation']
              | components['schemas']['MidasDepthImageProcessorInvocation']
              | components['schemas']['NormalbaeImageProcessorInvocation']
              | components['schemas']['MlsdImageProcessorInvocation']
              | components['schemas']['PidiImageProcessorInvocation']
              | components['schemas']['ContentShuffleImageProcessorInvocation']
              | components['schemas']['ZoeDepthImageProcessorInvocation']
              | components['schemas']['MediapipeFaceProcessorInvocation']
              | components['schemas']['LeresImageProcessorInvocation']
              | components['schemas']['TileResamplerProcessorInvocation']
              | components['schemas']['SegmentAnythingProcessorInvocation']
            )
          | undefined;
      };
      /**
       * Edges
       * @description The connections between nodes and their fields in this graph
       */
      edges?: components['schemas']['Edge'][];
    };
    /**
     * GraphExecutionState
     * @description Tracks the state of a graph execution
     */
    GraphExecutionState: {
      /**
       * Id
       * @description The id of the execution state
       */
      id: string;
      /**
       * Graph
       * @description The graph being executed
       */
      graph: components['schemas']['Graph'];
      /**
       * Execution Graph
       * @description The expanded graph of activated and executed nodes
       */
      execution_graph: components['schemas']['Graph'];
      /**
       * Executed
       * @description The set of node ids that have been executed
       */
      executed: string[];
      /**
       * Executed History
       * @description The list of node ids that have been executed, in order of execution
       */
      executed_history: string[];
      /**
       * Results
       * @description The results of node executions
       */
      results: {
        [key: string]:
          | (
              | components['schemas']['BooleanOutput']
              | components['schemas']['BooleanCollectionOutput']
              | components['schemas']['IntegerOutput']
              | components['schemas']['IntegerCollectionOutput']
              | components['schemas']['FloatOutput']
              | components['schemas']['FloatCollectionOutput']
              | components['schemas']['StringOutput']
              | components['schemas']['StringCollectionOutput']
              | components['schemas']['ImageOutput']
              | components['schemas']['ImageCollectionOutput']
              | components['schemas']['LatentsOutput']
              | components['schemas']['LatentsCollectionOutput']
              | components['schemas']['ColorOutput']
              | components['schemas']['ColorCollectionOutput']
              | components['schemas']['ConditioningOutput']
              | components['schemas']['ConditioningCollectionOutput']
              | components['schemas']['ControlOutput']
              | components['schemas']['ModelLoaderOutput']
              | components['schemas']['LoraLoaderOutput']
              | components['schemas']['SDXLLoraLoaderOutput']
              | components['schemas']['VaeLoaderOutput']
              | components['schemas']['MetadataAccumulatorOutput']
              | components['schemas']['SDXLModelLoaderOutput']
              | components['schemas']['SDXLRefinerModelLoaderOutput']
              | components['schemas']['ClipSkipInvocationOutput']
              | components['schemas']['ONNXModelLoaderOutput']
              | components['schemas']['NoiseOutput']
              | components['schemas']['GraphInvocationOutput']
              | components['schemas']['IterateInvocationOutput']
              | components['schemas']['CollectInvocationOutput']
            )
          | undefined;
      };
      /**
       * Errors
       * @description Errors raised when executing nodes
       */
      errors: {
        [key: string]: string | undefined;
      };
      /**
       * Prepared Source Mapping
       * @description The map of prepared nodes to original graph nodes
       */
      prepared_source_mapping: {
        [key: string]: string | undefined;
      };
      /**
       * Source Prepared Mapping
       * @description The map of original graph nodes to prepared nodes
       */
      source_prepared_mapping: {
        [key: string]: string[] | undefined;
      };
    };
    /**
     * GraphInvocation
     * @description Execute a graph
     */
    GraphInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default graph
       * @enum {string}
       */
      type: 'graph';
      /**
       * Graph
       * @description The graph to run
       */
      graph?: components['schemas']['Graph'];
    };
    /**
     * GraphInvocationOutput
     * @description Base class for all invocation outputs
     */
    GraphInvocationOutput: {
      /**
       * Type
       * @default graph_output
       * @enum {string}
       */
      type: 'graph_output';
    };
    /** HTTPValidationError */
    HTTPValidationError: {
      /** Detail */
      detail?: components['schemas']['ValidationError'][];
    };
    /**
     * HED (softedge) Processor
     * @description Applies HED edge detection to image
     */
    HedImageProcessorInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default hed_image_processor
       * @enum {string}
       */
      type: 'hed_image_processor';
      /**
       * Image
       * @description The image to process
       */
      image?: components['schemas']['ImageField'];
      /**
       * Detect Resolution
       * @description 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;
    };
    /**
     * Blur Image
     * @description Blurs an image
     */
    ImageBlurInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default img_blur
       * @enum {string}
       */
      type: 'img_blur';
      /**
       * Image
       * @description The image to blur
       */
      image?: components['schemas']['ImageField'];
      /**
       * Radius
       * @description The blur radius
       * @default 8
       */
      radius?: number;
      /**
       * Blur Type
       * @description The type of blur
       * @default gaussian
       * @enum {string}
       */
      blur_type?: 'gaussian' | 'box';
    };
    /**
     * ImageCategory
     * @description The category of an image.
     *
     * - GENERAL: The image is an output, init image, or otherwise an image without a specialized purpose.
     * - MASK: The image is a mask image.
     * - CONTROL: The image is a ControlNet control image.
     * - USER: The image is a user-provide image.
     * - OTHER: The image is some other type of image with a specialized purpose. To be used by external nodes.
     * @enum {string}
     */
    ImageCategory: 'general' | 'mask' | 'control' | 'user' | 'other';
    /**
     * Extract Image Channel
     * @description Gets a channel from an image.
     */
    ImageChannelInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default img_chan
       * @enum {string}
       */
      type: 'img_chan';
      /**
       * Image
       * @description The image to get the channel from
       */
      image?: components['schemas']['ImageField'];
      /**
       * Channel
       * @description The channel to get
       * @default A
       * @enum {string}
       */
      channel?: 'A' | 'R' | 'G' | 'B';
    };
    /**
     * Image Collection
     * @description A collection of image primitive values
     */
    ImageCollectionInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default image_collection
       * @enum {string}
       */
      type: 'image_collection';
      /**
       * Collection
       * @description The collection of image values
       * @default 0
       */
      collection?: components['schemas']['ImageField'][];
    };
    /**
     * ImageCollectionOutput
     * @description Base class for nodes that output a collection of images
     */
    ImageCollectionOutput: {
      /**
       * Type
       * @default image_collection_output
       * @enum {string}
       */
      type?: 'image_collection_output';
      /**
       * Collection
       * @description The output images
       */
      collection?: components['schemas']['ImageField'][];
    };
    /**
     * Convert Image Mode
     * @description Converts an image to a different mode.
     */
    ImageConvertInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default img_conv
       * @enum {string}
       */
      type: 'img_conv';
      /**
       * Image
       * @description The image to convert
       */
      image?: components['schemas']['ImageField'];
      /**
       * Mode
       * @description The mode to convert to
       * @default L
       * @enum {string}
       */
      mode?:
        | 'L'
        | 'RGB'
        | 'RGBA'
        | 'CMYK'
        | 'YCbCr'
        | 'LAB'
        | 'HSV'
        | 'I'
        | 'F';
    };
    /**
     * Crop Image
     * @description Crops an image to a specified box. The box can be outside of the image.
     */
    ImageCropInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default img_crop
       * @enum {string}
       */
      type: 'img_crop';
      /**
       * Image
       * @description The image to crop
       */
      image?: components['schemas']['ImageField'];
      /**
       * X
       * @description The left x coordinate of the crop rectangle
       * @default 0
       */
      x?: number;
      /**
       * Y
       * @description The top y coordinate of the crop rectangle
       * @default 0
       */
      y?: number;
      /**
       * Width
       * @description The width of the crop rectangle
       * @default 512
       */
      width?: number;
      /**
       * Height
       * @description The height of the crop rectangle
       * @default 512
       */
      height?: number;
    };
    /**
     * ImageDTO
     * @description Deserialized image record, enriched for the frontend.
     */
    ImageDTO: {
      /**
       * Image Name
       * @description The unique name of the image.
       */
      image_name: string;
      /**
       * Image Url
       * @description The URL of the image.
       */
      image_url: string;
      /**
       * Thumbnail Url
       * @description The URL of the image's thumbnail.
       */
      thumbnail_url: string;
      /** @description The type of the image. */
      image_origin: components['schemas']['ResourceOrigin'];
      /** @description The category of the image. */
      image_category: components['schemas']['ImageCategory'];
      /**
       * Width
       * @description The width of the image in px.
       */
      width: number;
      /**
       * Height
       * @description The height of the image in px.
       */
      height: number;
      /**
       * Created At
       * @description The created timestamp of the image.
       */
      created_at: string;
      /**
       * Updated At
       * @description The updated timestamp of the image.
       */
      updated_at: string;
      /**
       * Deleted At
       * @description The deleted timestamp of the image.
       */
      deleted_at?: string;
      /**
       * Is Intermediate
       * @description Whether this is an intermediate image.
       */
      is_intermediate: boolean;
      /**
       * Session Id
       * @description The session ID that generated this image, if it is a generated image.
       */
      session_id?: string;
      /**
       * Node Id
       * @description The node ID that generated this image, if it is a generated image.
       */
      node_id?: string;
      /**
       * Starred
       * @description Whether this image is starred.
       */
      starred: boolean;
      /**
       * Board Id
       * @description The id of the board the image belongs to, if one exists.
       */
      board_id?: string;
    };
    /**
     * ImageField
     * @description An image primitive field
     */
    ImageField: {
      /**
       * Image Name
       * @description The name of the image
       */
      image_name: string;
    };
    /**
     * Image Hue Adjustment
     * @description Adjusts the Hue of an image.
     */
    ImageHueAdjustmentInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default img_hue_adjust
       * @enum {string}
       */
      type: 'img_hue_adjust';
      /**
       * Image
       * @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;
    };
    /**
     * Inverse Lerp Image
     * @description Inverse linear interpolation of all pixels of an image
     */
    ImageInverseLerpInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default img_ilerp
       * @enum {string}
       */
      type: 'img_ilerp';
      /**
       * Image
       * @description The image to lerp
       */
      image?: components['schemas']['ImageField'];
      /**
       * Min
       * @description The minimum input value
       * @default 0
       */
      min?: number;
      /**
       * Max
       * @description The maximum input value
       * @default 255
       */
      max?: number;
    };
    /**
     * Image Primitive
     * @description An image primitive value
     */
    ImageInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default image
       * @enum {string}
       */
      type: 'image';
      /**
       * Image
       * @description The image to load
       */
      image?: components['schemas']['ImageField'];
    };
    /**
     * Lerp Image
     * @description Linear interpolation of all pixels of an image
     */
    ImageLerpInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default img_lerp
       * @enum {string}
       */
      type: 'img_lerp';
      /**
       * Image
       * @description The image to lerp
       */
      image?: components['schemas']['ImageField'];
      /**
       * Min
       * @description The minimum output value
       * @default 0
       */
      min?: number;
      /**
       * Max
       * @description The maximum output value
       * @default 255
       */
      max?: number;
    };
    /**
     * Image Luminosity Adjustment
     * @description Adjusts the Luminosity (Value) of an image.
     */
    ImageLuminosityAdjustmentInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default img_luminosity_adjust
       * @enum {string}
       */
      type: 'img_luminosity_adjust';
      /**
       * Image
       * @description The image to adjust
       */
      image?: components['schemas']['ImageField'];
      /**
       * Luminosity
       * @description The factor by which to adjust the luminosity (value)
       * @default 1
       */
      luminosity?: number;
    };
    /**
     * ImageMetadata
     * @description An image's generation metadata
     */
    ImageMetadata: {
      /**
       * Metadata
       * @description The image's core metadata, if it was created in the Linear or Canvas UI
       */
      metadata?: Record<string, never>;
      /**
       * Graph
       * @description The graph that created the image
       */
      graph?: Record<string, never>;
    };
    /**
     * Multiply Images
     * @description Multiplies two images together using `PIL.ImageChops.multiply()`.
     */
    ImageMultiplyInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default img_mul
       * @enum {string}
       */
      type: 'img_mul';
      /**
       * Image1
       * @description The first image to multiply
       */
      image1?: components['schemas']['ImageField'];
      /**
       * Image2
       * @description The second image to multiply
       */
      image2?: components['schemas']['ImageField'];
    };
    /**
     * Blur NSFW Image
     * @description Add blur to NSFW-flagged images
     */
    ImageNSFWBlurInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default img_nsfw
       * @enum {string}
       */
      type: 'img_nsfw';
      /**
       * Metadata
       * @description Optional core metadata to be written to image
       */
      metadata?: components['schemas']['CoreMetadata'];
      /**
       * Image
       * @description The image to check
       */
      image?: components['schemas']['ImageField'];
    };
    /**
     * ImageOutput
     * @description Base class for nodes that output a single image
     */
    ImageOutput: {
      /**
       * Type
       * @default image_output
       * @enum {string}
       */
      type?: 'image_output';
      /**
       * Image
       * @description The output image
       */
      image: components['schemas']['ImageField'];
      /**
       * Width
       * @description The width of the image in pixels
       */
      width: number;
      /**
       * Height
       * @description The height of the image in pixels
       */
      height: number;
    };
    /**
     * Paste Image
     * @description Pastes an image into another image.
     */
    ImagePasteInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default img_paste
       * @enum {string}
       */
      type: 'img_paste';
      /**
       * Base Image
       * @description The base image
       */
      base_image?: components['schemas']['ImageField'];
      /**
       * Image
       * @description The image to paste
       */
      image?: components['schemas']['ImageField'];
      /**
       * Mask
       * @description The mask to use when pasting
       */
      mask?: components['schemas']['ImageField'];
      /**
       * X
       * @description The left x coordinate at which to paste the image
       * @default 0
       */
      x?: number;
      /**
       * Y
       * @description The top y coordinate at which to paste the image
       * @default 0
       */
      y?: number;
    };
    /**
     * ImageProcessorInvocation
     * @description Base class for invocations that preprocess images for ControlNet
     */
    ImageProcessorInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default image_processor
       * @enum {string}
       */
      type: 'image_processor';
      /**
       * Image
       * @description The image to process
       */
      image?: components['schemas']['ImageField'];
    };
    /**
     * ImageRecordChanges
     * @description A set of changes to apply to an image record.
     *
     * Only limited changes are valid:
     *   - `image_category`: change the category of an image
     *   - `session_id`: change the session associated with an image
     *   - `is_intermediate`: change the image's `is_intermediate` flag
     *   - `starred`: change whether the image is starred
     */
    ImageRecordChanges: {
      /** @description The image's new category. */
      image_category?: components['schemas']['ImageCategory'];
      /**
       * Session Id
       * @description The image's new session ID.
       */
      session_id?: string;
      /**
       * Is Intermediate
       * @description The image's new `is_intermediate` flag.
       */
      is_intermediate?: boolean;
      /**
       * Starred
       * @description The image's new `starred` state
       */
      starred?: boolean;
    };
    /**
     * Resize Image
     * @description Resizes an image to specific dimensions
     */
    ImageResizeInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default img_resize
       * @enum {string}
       */
      type: 'img_resize';
      /**
       * Image
       * @description The image to resize
       */
      image?: components['schemas']['ImageField'];
      /**
       * Width
       * @description The width to resize to (px)
       * @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';
    };
    /**
     * Image Saturation Adjustment
     * @description Adjusts the Saturation of an image.
     */
    ImageSaturationAdjustmentInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default img_saturation_adjust
       * @enum {string}
       */
      type: 'img_saturation_adjust';
      /**
       * Image
       * @description The image to adjust
       */
      image?: components['schemas']['ImageField'];
      /**
       * Saturation
       * @description The factor by which to adjust the saturation
       * @default 1
       */
      saturation?: number;
    };
    /**
     * Scale Image
     * @description Scales an image by a factor
     */
    ImageScaleInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default img_scale
       * @enum {string}
       */
      type: 'img_scale';
      /**
       * Image
       * @description The image to scale
       */
      image?: components['schemas']['ImageField'];
      /**
       * Scale Factor
       * @description The factor by which to scale the image
       * @default 2
       */
      scale_factor?: number;
      /**
       * Resample Mode
       * @description The resampling mode
       * @default bicubic
       * @enum {string}
       */
      resample_mode?:
        | 'nearest'
        | 'box'
        | 'bilinear'
        | 'hamming'
        | 'bicubic'
        | 'lanczos';
    };
    /**
     * Image to Latents
     * @description Encodes an image into latents.
     */
    ImageToLatentsInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default i2l
       * @enum {string}
       */
      type: 'i2l';
      /**
       * Image
       * @description The image to encode
       */
      image?: components['schemas']['ImageField'];
      /**
       * Vae
       * @description VAE
       */
      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;
    };
    /**
     * 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: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default img_watermark
       * @enum {string}
       */
      type: 'img_watermark';
      /**
       * Image
       * @description The image to check
       */
      image?: components['schemas']['ImageField'];
      /**
       * Text
       * @description Watermark text
       * @default InvokeAI
       */
      text?: string;
      /**
       * Metadata
       * @description Optional core metadata to be written to image
       */
      metadata?: components['schemas']['CoreMetadata'];
    };
    /**
     * Solid Color Infill
     * @description Infills transparent areas of an image with a solid color
     */
    InfillColorInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default infill_rgba
       * @enum {string}
       */
      type: 'infill_rgba';
      /**
       * Image
       * @description The image to infill
       */
      image?: components['schemas']['ImageField'];
      /**
       * Color
       * @description The color to use to infill
       * @default {
       *   "r": 127,
       *   "g": 127,
       *   "b": 127,
       *   "a": 255
       * }
       */
      color?: components['schemas']['ColorField'];
    };
    /**
     * PatchMatch Infill
     * @description Infills transparent areas of an image using the PatchMatch algorithm
     */
    InfillPatchMatchInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default infill_patchmatch
       * @enum {string}
       */
      type: 'infill_patchmatch';
      /**
       * Image
       * @description The image to infill
       */
      image?: components['schemas']['ImageField'];
    };
    /**
     * Tile Infill
     * @description Infills transparent areas of an image with tiles of the image
     */
    InfillTileInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default infill_tile
       * @enum {string}
       */
      type: 'infill_tile';
      /**
       * Image
       * @description The image to infill
       */
      image?: components['schemas']['ImageField'];
      /**
       * Tile Size
       * @description The tile size (px)
       * @default 32
       */
      tile_size?: number;
      /**
       * Seed
       * @description The seed to use for tile generation (omit for random)
       */
      seed?: number;
    };
    /**
     * Integer Collection
     * @description A collection of integer primitive values
     */
    IntegerCollectionInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default integer_collection
       * @enum {string}
       */
      type: 'integer_collection';
      /**
       * Collection
       * @description The collection of integer values
       * @default 0
       */
      collection?: number[];
    };
    /**
     * IntegerCollectionOutput
     * @description Base class for nodes that output a collection of integers
     */
    IntegerCollectionOutput: {
      /**
       * Type
       * @default integer_collection_output
       * @enum {string}
       */
      type?: 'integer_collection_output';
      /**
       * Collection
       * @description The int collection
       */
      collection?: number[];
    };
    /**
     * Integer
     * @description An integer primitive value
     */
    IntegerInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default integer
       * @enum {string}
       */
      type: 'integer';
      /**
       * A
       * @description The integer value
       * @default 0
       */
      a?: number;
    };
    /**
     * IntegerOutput
     * @description Base class for nodes that output a single integer
     */
    IntegerOutput: {
      /**
       * Type
       * @default integer_output
       * @enum {string}
       */
      type?: 'integer_output';
      /**
       * A
       * @description The output integer
       */
      a: number;
    };
    /**
     * IterateInvocation
     * @description Iterates over a list of items
     */
    IterateInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default iterate
       * @enum {string}
       */
      type: 'iterate';
      /**
       * Collection
       * @description The list of items to iterate over
       */
      collection?: unknown[];
      /**
       * Index
       * @description The index, will be provided on executed iterators
       * @default 0
       */
      index?: number;
    };
    /**
     * IterateInvocationOutput
     * @description Used to connect iteration outputs. Will be expanded to a specific output.
     */
    IterateInvocationOutput: {
      /**
       * Type
       * @default iterate_output
       * @enum {string}
       */
      type?: 'iterate_output';
      /**
       * Collection Item
       * @description The item being iterated over
       */
      item?: unknown;
    };
    /**
     * Latents Collection
     * @description A collection of latents tensor primitive values
     */
    LatentsCollectionInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default latents_collection
       * @enum {string}
       */
      type: 'latents_collection';
      /**
       * Collection
       * @description The collection of latents tensors
       * @default 0
       */
      collection?: components['schemas']['LatentsField'][];
    };
    /**
     * LatentsCollectionOutput
     * @description Base class for nodes that output a collection of latents tensors
     */
    LatentsCollectionOutput: {
      /**
       * Type
       * @default latents_collection_output
       * @enum {string}
       */
      type?: 'latents_collection_output';
      /**
       * Collection
       * @description Latents tensor
       */
      collection?: components['schemas']['LatentsField'][];
    };
    /**
     * LatentsField
     * @description A latents tensor primitive field
     */
    LatentsField: {
      /**
       * Latents Name
       * @description The name of the latents
       */
      latents_name: string;
      /**
       * Seed
       * @description Seed used to generate this latents
       */
      seed?: number;
    };
    /**
     * Latents Primitive
     * @description A latents tensor primitive value
     */
    LatentsInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default latents
       * @enum {string}
       */
      type: 'latents';
      /**
       * Latents
       * @description The latents tensor
       */
      latents?: components['schemas']['LatentsField'];
    };
    /**
     * LatentsOutput
     * @description Base class for nodes that output a single latents tensor
     */
    LatentsOutput: {
      /**
       * Type
       * @default latents_output
       * @enum {string}
       */
      type?: 'latents_output';
      /**
       * Latents
       * @description Latents tensor
       */
      latents: components['schemas']['LatentsField'];
      /**
       * Width
       * @description Width of output (px)
       */
      width: number;
      /**
       * Height
       * @description Height of output (px)
       */
      height: number;
    };
    /**
     * Latents to Image
     * @description Generates an image from latents.
     */
    LatentsToImageInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default l2i
       * @enum {string}
       */
      type: 'l2i';
      /**
       * 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;
      /**
       * Metadata
       * @description Optional core metadata to be written to image
       */
      metadata?: components['schemas']['CoreMetadata'];
      /**
       * Latents
       * @description Latents tensor
       */
      latents?: components['schemas']['LatentsField'];
      /**
       * Vae
       * @description VAE
       */
      vae?: components['schemas']['VaeField'];
    };
    /**
     * Leres (Depth) Processor
     * @description Applies leres processing to image
     */
    LeresImageProcessorInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default leres_image_processor
       * @enum {string}
       */
      type: 'leres_image_processor';
      /**
       * Image
       * @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;
    };
    /**
     * Lineart Anime Processor
     * @description Applies line art anime processing to image
     */
    LineartAnimeImageProcessorInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default lineart_anime_image_processor
       * @enum {string}
       */
      type: 'lineart_anime_image_processor';
      /**
       * Image
       * @description The image to process
       */
      image?: components['schemas']['ImageField'];
      /**
       * Detect Resolution
       * @description Pixel resolution for detection
       * @default 512
       */
      detect_resolution?: number;
      /**
       * Image Resolution
       * @description Pixel resolution for output image
       * @default 512
       */
      image_resolution?: number;
    };
    /**
     * Lineart Processor
     * @description Applies line art processing to image
     */
    LineartImageProcessorInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default lineart_image_processor
       * @enum {string}
       */
      type: 'lineart_image_processor';
      /**
       * Image
       * @description The image to process
       */
      image?: components['schemas']['ImageField'];
      /**
       * Detect Resolution
       * @description 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;
    };
    /**
     * LoRAMetadataField
     * @description LoRA metadata for an image generated in InvokeAI.
     */
    LoRAMetadataField: {
      /**
       * Lora
       * @description The LoRA model
       */
      lora: components['schemas']['LoRAModelField'];
      /**
       * Weight
       * @description The weight of the LoRA model
       */
      weight: number;
    };
    /** LoRAModelConfig */
    LoRAModelConfig: {
      /** Model Name */
      model_name: string;
      base_model: components['schemas']['BaseModelType'];
      /**
       * Model Type
       * @enum {string}
       */
      model_type: 'lora';
      /** Path */
      path: string;
      /** Description */
      description?: string;
      model_format: components['schemas']['LoRAModelFormat'];
      error?: components['schemas']['ModelError'];
    };
    /**
     * LoRAModelField
     * @description LoRA model field
     */
    LoRAModelField: {
      /**
       * Model Name
       * @description Name of the LoRA model
       */
      model_name: string;
      /** @description Base model */
      base_model: components['schemas']['BaseModelType'];
    };
    /**
     * LoRAModelFormat
     * @description An enumeration.
     * @enum {string}
     */
    LoRAModelFormat: 'lycoris' | 'diffusers';
    /**
     * LogLevel
     * @description An enumeration.
     * @enum {integer}
     */
    LogLevel: 0 | 10 | 20 | 30 | 40 | 50;
    /** LoraInfo */
    LoraInfo: {
      /**
       * Model Name
       * @description Info to load submodel
       */
      model_name: string;
      /** @description Base model */
      base_model: components['schemas']['BaseModelType'];
      /** @description Info to load submodel */
      model_type: components['schemas']['ModelType'];
      /** @description Info to load submodel */
      submodel?: components['schemas']['SubModelType'];
      /**
       * Weight
       * @description Lora's weight which to use when apply to model
       */
      weight: number;
    };
    /**
     * LoRA Loader
     * @description Apply selected lora to unet and text_encoder.
     */
    LoraLoaderInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default lora_loader
       * @enum {string}
       */
      type: 'lora_loader';
      /**
       * LoRA
       * @description LoRA model to load
       */
      lora: components['schemas']['LoRAModelField'];
      /**
       * Weight
       * @description The weight at which the LoRA is applied to each model
       * @default 0.75
       */
      weight?: number;
      /**
       * UNet
       * @description UNet (scheduler, LoRAs)
       */
      unet?: components['schemas']['UNetField'];
      /**
       * CLIP
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       */
      clip?: components['schemas']['ClipField'];
    };
    /**
     * LoraLoaderOutput
     * @description Model loader output
     */
    LoraLoaderOutput: {
      /**
       * Type
       * @default lora_loader_output
       * @enum {string}
       */
      type?: 'lora_loader_output';
      /**
       * UNet
       * @description UNet (scheduler, LoRAs)
       */
      unet?: components['schemas']['UNetField'];
      /**
       * CLIP
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       */
      clip?: components['schemas']['ClipField'];
    };
    /**
     * MainModelField
     * @description Main model field
     */
    MainModelField: {
      /**
       * Model Name
       * @description Name of the model
       */
      model_name: string;
      /** @description Base model */
      base_model: components['schemas']['BaseModelType'];
      /** @description Model Type */
      model_type: components['schemas']['ModelType'];
    };
    /**
     * Main Model Loader
     * @description Loads a main model, outputting its submodels.
     */
    MainModelLoaderInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default main_model_loader
       * @enum {string}
       */
      type: 'main_model_loader';
      /**
       * Model
       * @description Main model (UNet, VAE, CLIP) to load
       */
      model: components['schemas']['MainModelField'];
    };
    /**
     * Combine Mask
     * @description Combine two masks together by multiplying them using `PIL.ImageChops.multiply()`.
     */
    MaskCombineInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default mask_combine
       * @enum {string}
       */
      type: 'mask_combine';
      /**
       * Mask1
       * @description The first mask to combine
       */
      mask1?: components['schemas']['ImageField'];
      /**
       * Mask2
       * @description The second image to combine
       */
      mask2?: components['schemas']['ImageField'];
    };
    /**
     * Mask Edge
     * @description Applies an edge mask to an image
     */
    MaskEdgeInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default mask_edge
       * @enum {string}
       */
      type: 'mask_edge';
      /**
       * Image
       * @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;
    };
    /**
     * Mask from Alpha
     * @description Extracts the alpha channel of an image as a mask.
     */
    MaskFromAlphaInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default tomask
       * @enum {string}
       */
      type: 'tomask';
      /**
       * Image
       * @description The image to create the mask from
       */
      image?: components['schemas']['ImageField'];
      /**
       * Invert
       * @description Whether or not to invert the mask
       * @default false
       */
      invert?: boolean;
    };
    /**
     * Mediapipe Face Processor
     * @description Applies mediapipe face processing to image
     */
    MediapipeFaceProcessorInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default mediapipe_face_processor
       * @enum {string}
       */
      type: 'mediapipe_face_processor';
      /**
       * Image
       * @description The image to process
       */
      image?: components['schemas']['ImageField'];
      /**
       * Max Faces
       * @description Maximum number of faces to detect
       * @default 1
       */
      max_faces?: number;
      /**
       * Min Confidence
       * @description Minimum confidence for face detection
       * @default 0.5
       */
      min_confidence?: number;
    };
    /**
     * MergeInterpolationMethod
     * @description An enumeration.
     * @enum {string}
     */
    MergeInterpolationMethod:
      | 'weighted_sum'
      | 'sigmoid'
      | 'inv_sigmoid'
      | 'add_difference';
    /**
     * Metadata Accumulator
     * @description Outputs a Core Metadata Object
     */
    MetadataAccumulatorInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default metadata_accumulator
       * @enum {string}
       */
      type: 'metadata_accumulator';
      /**
       * Generation Mode
       * @description The generation mode that output this image
       */
      generation_mode?: string;
      /**
       * Positive Prompt
       * @description The positive prompt parameter
       */
      positive_prompt?: string;
      /**
       * Negative Prompt
       * @description The negative prompt parameter
       */
      negative_prompt?: string;
      /**
       * Width
       * @description The width parameter
       */
      width?: number;
      /**
       * Height
       * @description The height parameter
       */
      height?: number;
      /**
       * Seed
       * @description The seed used for noise generation
       */
      seed?: number;
      /**
       * Rand Device
       * @description The device used for random number generation
       */
      rand_device?: string;
      /**
       * Cfg Scale
       * @description The classifier-free guidance scale parameter
       */
      cfg_scale?: number;
      /**
       * Steps
       * @description The number of steps used for inference
       */
      steps?: number;
      /**
       * Scheduler
       * @description The scheduler used for inference
       */
      scheduler?: string;
      /**
       * Clip Skip
       * @description The number of skipped CLIP layers
       */
      clip_skip?: number;
      /**
       * Model
       * @description The main model used for inference
       */
      model?: components['schemas']['MainModelField'];
      /**
       * Controlnets
       * @description The ControlNets used for inference
       */
      controlnets?: components['schemas']['ControlField'][];
      /**
       * Loras
       * @description The LoRAs used for inference
       */
      loras?: components['schemas']['LoRAMetadataField'][];
      /**
       * Strength
       * @description The strength used for latents-to-latents
       */
      strength?: number;
      /**
       * Init Image
       * @description The name of the initial image
       */
      init_image?: string;
      /**
       * Vae
       * @description The VAE used for decoding, if the main model's default was not used
       */
      vae?: components['schemas']['VAEModelField'];
      /**
       * Positive Style Prompt
       * @description The positive style prompt parameter
       */
      positive_style_prompt?: string;
      /**
       * Negative Style Prompt
       * @description The negative style prompt parameter
       */
      negative_style_prompt?: string;
      /**
       * Refiner Model
       * @description The SDXL Refiner model used
       */
      refiner_model?: components['schemas']['MainModelField'];
      /**
       * Refiner Cfg Scale
       * @description The classifier-free guidance scale parameter used for the refiner
       */
      refiner_cfg_scale?: number;
      /**
       * Refiner Steps
       * @description The number of steps used for the refiner
       */
      refiner_steps?: number;
      /**
       * Refiner Scheduler
       * @description The scheduler used for the refiner
       */
      refiner_scheduler?: string;
      /**
       * Refiner Positive Aesthetic Store
       * @description The aesthetic score used for the refiner
       */
      refiner_positive_aesthetic_store?: number;
      /**
       * Refiner Negative Aesthetic Store
       * @description The aesthetic score used for the refiner
       */
      refiner_negative_aesthetic_store?: number;
      /**
       * Refiner Start
       * @description The start value used for refiner denoising
       */
      refiner_start?: number;
    };
    /**
     * MetadataAccumulatorOutput
     * @description The output of the MetadataAccumulator node
     */
    MetadataAccumulatorOutput: {
      /**
       * Type
       * @default metadata_accumulator_output
       * @enum {string}
       */
      type?: 'metadata_accumulator_output';
      /**
       * Metadata
       * @description The core metadata for the image
       */
      metadata: components['schemas']['CoreMetadata'];
    };
    /**
     * Midas (Depth) Processor
     * @description Applies Midas depth processing to image
     */
    MidasDepthImageProcessorInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default midas_depth_image_processor
       * @enum {string}
       */
      type: 'midas_depth_image_processor';
      /**
       * Image
       * @description The image to process
       */
      image?: components['schemas']['ImageField'];
      /**
       * A Mult
       * @description Midas parameter `a_mult` (a = a_mult * PI)
       * @default 2
       */
      a_mult?: number;
      /**
       * Bg Th
       * @description Midas parameter `bg_th`
       * @default 0.1
       */
      bg_th?: number;
    };
    /**
     * MLSD Processor
     * @description Applies MLSD processing to image
     */
    MlsdImageProcessorInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default mlsd_image_processor
       * @enum {string}
       */
      type: 'mlsd_image_processor';
      /**
       * Image
       * @description The image to process
       */
      image?: components['schemas']['ImageField'];
      /**
       * Detect Resolution
       * @description 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;
    };
    /**
     * ModelError
     * @description An enumeration.
     * @enum {string}
     */
    ModelError: 'not_found';
    /** ModelInfo */
    ModelInfo: {
      /**
       * Model Name
       * @description Info to load submodel
       */
      model_name: string;
      /** @description Base model */
      base_model: components['schemas']['BaseModelType'];
      /** @description Info to load submodel */
      model_type: components['schemas']['ModelType'];
      /** @description Info to load submodel */
      submodel?: components['schemas']['SubModelType'];
    };
    /**
     * ModelLoaderOutput
     * @description Model loader output
     */
    ModelLoaderOutput: {
      /**
       * Type
       * @default model_loader_output
       * @enum {string}
       */
      type?: 'model_loader_output';
      /**
       * UNet
       * @description UNet (scheduler, LoRAs)
       */
      unet: components['schemas']['UNetField'];
      /**
       * CLIP
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       */
      clip: components['schemas']['ClipField'];
      /**
       * VAE
       * @description VAE
       */
      vae: components['schemas']['VaeField'];
    };
    /**
     * ModelType
     * @description An enumeration.
     * @enum {string}
     */
    ModelType: 'onnx' | 'main' | 'vae' | 'lora' | 'controlnet' | 'embedding';
    /**
     * ModelVariantType
     * @description An enumeration.
     * @enum {string}
     */
    ModelVariantType: 'normal' | 'inpaint' | 'depth';
    /** ModelsList */
    ModelsList: {
      /** Models */
      models: (
        | components['schemas']['ONNXStableDiffusion1ModelConfig']
        | components['schemas']['StableDiffusion1ModelCheckpointConfig']
        | components['schemas']['StableDiffusion1ModelDiffusersConfig']
        | components['schemas']['VaeModelConfig']
        | components['schemas']['LoRAModelConfig']
        | components['schemas']['ControlNetModelCheckpointConfig']
        | components['schemas']['ControlNetModelDiffusersConfig']
        | components['schemas']['TextualInversionModelConfig']
        | components['schemas']['ONNXStableDiffusion2ModelConfig']
        | components['schemas']['StableDiffusion2ModelCheckpointConfig']
        | components['schemas']['StableDiffusion2ModelDiffusersConfig']
        | components['schemas']['StableDiffusionXLModelCheckpointConfig']
        | components['schemas']['StableDiffusionXLModelDiffusersConfig']
      )[];
    };
    /**
     * Multiply Integers
     * @description Multiplies two numbers
     */
    MultiplyInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default mul
       * @enum {string}
       */
      type: 'mul';
      /**
       * A
       * @description The first number
       * @default 0
       */
      a?: number;
      /**
       * B
       * @description The second number
       * @default 0
       */
      b?: number;
    };
    /**
     * Noise
     * @description Generates latent noise.
     */
    NoiseInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default noise
       * @enum {string}
       */
      type: 'noise';
      /**
       * Seed
       * @description Seed for random number generation
       */
      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;
    };
    /**
     * NoiseOutput
     * @description Invocation noise output
     */
    NoiseOutput: {
      /**
       * Type
       * @default noise_output
       * @enum {string}
       */
      type?: 'noise_output';
      /**
       * Noise
       * @description Noise tensor
       */
      noise?: components['schemas']['LatentsField'];
      /**
       * Width
       * @description Width of output (px)
       */
      width: number;
      /**
       * Height
       * @description Height of output (px)
       */
      height: number;
    };
    /**
     * Normal BAE Processor
     * @description Applies NormalBae processing to image
     */
    NormalbaeImageProcessorInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default normalbae_image_processor
       * @enum {string}
       */
      type: 'normalbae_image_processor';
      /**
       * Image
       * @description The image to process
       */
      image?: components['schemas']['ImageField'];
      /**
       * Detect Resolution
       * @description Pixel resolution for detection
       * @default 512
       */
      detect_resolution?: number;
      /**
       * Image Resolution
       * @description Pixel resolution for output image
       * @default 512
       */
      image_resolution?: number;
    };
    /**
     * ONNX Latents to Image
     * @description Generates an image from latents.
     */
    ONNXLatentsToImageInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default l2i_onnx
       * @enum {string}
       */
      type: 'l2i_onnx';
      /**
       * Latents
       * @description Denoised latents tensor
       */
      latents?: components['schemas']['LatentsField'];
      /**
       * Vae
       * @description VAE
       */
      vae?: components['schemas']['VaeField'];
      /**
       * Metadata
       * @description Optional core metadata to be written to image
       */
      metadata?: components['schemas']['CoreMetadata'];
    };
    /**
     * ONNXModelLoaderOutput
     * @description Model loader output
     */
    ONNXModelLoaderOutput: {
      /**
       * Type
       * @default model_loader_output_onnx
       * @enum {string}
       */
      type?: 'model_loader_output_onnx';
      /**
       * UNet
       * @description UNet (scheduler, LoRAs)
       */
      unet?: components['schemas']['UNetField'];
      /**
       * CLIP
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       */
      clip?: components['schemas']['ClipField'];
      /**
       * VAE Decoder
       * @description VAE
       */
      vae_decoder?: components['schemas']['VaeField'];
      /**
       * VAE Encoder
       * @description VAE
       */
      vae_encoder?: components['schemas']['VaeField'];
    };
    /**
     * ONNX Prompt (Raw)
     * @description A node to process inputs and produce outputs.
     * May use dependency injection in __init__ to receive providers.
     */
    ONNXPromptInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default prompt_onnx
       * @enum {string}
       */
      type: 'prompt_onnx';
      /**
       * Prompt
       * @description Raw prompt text (no parsing)
       * @default
       */
      prompt?: string;
      /**
       * Clip
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       */
      clip?: components['schemas']['ClipField'];
    };
    /** ONNXStableDiffusion1ModelConfig */
    ONNXStableDiffusion1ModelConfig: {
      /** Model Name */
      model_name: string;
      base_model: components['schemas']['BaseModelType'];
      /**
       * Model Type
       * @enum {string}
       */
      model_type: 'onnx';
      /** Path */
      path: string;
      /** Description */
      description?: string;
      /**
       * Model Format
       * @enum {string}
       */
      model_format: 'onnx';
      error?: components['schemas']['ModelError'];
      variant: components['schemas']['ModelVariantType'];
    };
    /** ONNXStableDiffusion2ModelConfig */
    ONNXStableDiffusion2ModelConfig: {
      /** Model Name */
      model_name: string;
      base_model: components['schemas']['BaseModelType'];
      /**
       * Model Type
       * @enum {string}
       */
      model_type: 'onnx';
      /** Path */
      path: string;
      /** Description */
      description?: string;
      /**
       * Model Format
       * @enum {string}
       */
      model_format: 'onnx';
      error?: components['schemas']['ModelError'];
      variant: components['schemas']['ModelVariantType'];
      prediction_type: components['schemas']['SchedulerPredictionType'];
      /** Upcast Attention */
      upcast_attention: boolean;
    };
    /**
     * ONNX Text to Latents
     * @description Generates latents from conditionings.
     */
    ONNXTextToLatentsInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default t2l_onnx
       * @enum {string}
       */
      type: 't2l_onnx';
      /**
       * Positive Conditioning
       * @description Positive conditioning tensor
       */
      positive_conditioning?: components['schemas']['ConditioningField'];
      /**
       * Negative Conditioning
       * @description Negative conditioning tensor
       */
      negative_conditioning?: components['schemas']['ConditioningField'];
      /**
       * Noise
       * @description Noise tensor
       */
      noise?: components['schemas']['LatentsField'];
      /**
       * Steps
       * @description Number of steps to run
       * @default 10
       */
      steps?: number;
      /**
       * Cfg Scale
       * @description Classifier-Free Guidance scale
       * @default 7.5
       */
      cfg_scale?: number | number[];
      /**
       * Scheduler
       * @description Scheduler to use during inference
       * @default euler
       * @enum {string}
       */
      scheduler?:
        | 'ddim'
        | 'ddpm'
        | 'deis'
        | 'lms'
        | 'lms_k'
        | 'pndm'
        | 'heun'
        | 'heun_k'
        | 'euler'
        | 'euler_k'
        | 'euler_a'
        | 'kdpm_2'
        | 'kdpm_2_a'
        | 'dpmpp_2s'
        | 'dpmpp_2s_k'
        | 'dpmpp_2m'
        | 'dpmpp_2m_k'
        | 'dpmpp_2m_sde'
        | 'dpmpp_2m_sde_k'
        | 'dpmpp_sde'
        | 'dpmpp_sde_k'
        | 'unipc';
      /**
       * Precision
       * @description Precision to use
       * @default tensor(float16)
       * @enum {string}
       */
      precision?:
        | 'tensor(bool)'
        | 'tensor(int8)'
        | 'tensor(uint8)'
        | 'tensor(int16)'
        | 'tensor(uint16)'
        | 'tensor(int32)'
        | 'tensor(uint32)'
        | 'tensor(int64)'
        | 'tensor(uint64)'
        | 'tensor(float16)'
        | 'tensor(float)'
        | 'tensor(double)';
      /**
       * Unet
       * @description UNet (scheduler, LoRAs)
       */
      unet?: components['schemas']['UNetField'];
      /**
       * Control
       * @description ControlNet(s) to apply
       */
      control?:
        | components['schemas']['ControlField']
        | components['schemas']['ControlField'][];
    };
    /**
     * OffsetPaginatedResults[BoardDTO]
     * @description Offset-paginated results
     */
    OffsetPaginatedResults_BoardDTO_: {
      /**
       * Items
       * @description Items
       */
      items: components['schemas']['BoardDTO'][];
      /**
       * Offset
       * @description Offset from which to retrieve items
       */
      offset: number;
      /**
       * Limit
       * @description Limit of items to get
       */
      limit: number;
      /**
       * Total
       * @description Total number of items in result
       */
      total: number;
    };
    /**
     * OffsetPaginatedResults[ImageDTO]
     * @description Offset-paginated results
     */
    OffsetPaginatedResults_ImageDTO_: {
      /**
       * Items
       * @description Items
       */
      items: components['schemas']['ImageDTO'][];
      /**
       * Offset
       * @description Offset from which to retrieve items
       */
      offset: number;
      /**
       * Limit
       * @description Limit of items to get
       */
      limit: number;
      /**
       * Total
       * @description Total number of items in result
       */
      total: number;
    };
    /**
     * OnnxModelField
     * @description Onnx model field
     */
    OnnxModelField: {
      /**
       * Model Name
       * @description Name of the model
       */
      model_name: string;
      /** @description Base model */
      base_model: components['schemas']['BaseModelType'];
      /** @description Model Type */
      model_type: components['schemas']['ModelType'];
    };
    /**
     * ONNX Model Loader
     * @description Loads a main model, outputting its submodels.
     */
    OnnxModelLoaderInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default onnx_model_loader
       * @enum {string}
       */
      type: 'onnx_model_loader';
      /**
       * Model
       * @description ONNX Main model (UNet, VAE, CLIP) to load
       */
      model: components['schemas']['OnnxModelField'];
    };
    /**
     * Openpose Processor
     * @description Applies Openpose processing to image
     */
    OpenposeImageProcessorInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default openpose_image_processor
       * @enum {string}
       */
      type: 'openpose_image_processor';
      /**
       * Image
       * @description The image to process
       */
      image?: components['schemas']['ImageField'];
      /**
       * Hand And Face
       * @description Whether to use hands and face mode
       * @default false
       */
      hand_and_face?: boolean;
      /**
       * Detect Resolution
       * @description Pixel resolution for detection
       * @default 512
       */
      detect_resolution?: number;
      /**
       * Image Resolution
       * @description Pixel resolution for output image
       * @default 512
       */
      image_resolution?: number;
    };
    /**
     * PaginatedResults[GraphExecutionState]
     * @description Paginated results
     */
    PaginatedResults_GraphExecutionState_: {
      /**
       * Items
       * @description Items
       */
      items: components['schemas']['GraphExecutionState'][];
      /**
       * Page
       * @description Current Page
       */
      page: number;
      /**
       * Pages
       * @description Total number of pages
       */
      pages: number;
      /**
       * Per Page
       * @description Number of items per page
       */
      per_page: number;
      /**
       * Total
       * @description Total number of items in result
       */
      total: number;
    };
    /**
     * PIDI Processor
     * @description Applies PIDI processing to image
     */
    PidiImageProcessorInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default pidi_image_processor
       * @enum {string}
       */
      type: 'pidi_image_processor';
      /**
       * Image
       * @description The image to process
       */
      image?: components['schemas']['ImageField'];
      /**
       * Detect Resolution
       * @description 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;
    };
    /**
     * Prompts from File
     * @description Loads prompts from a text file
     */
    PromptsFromFileInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default prompt_from_file
       * @enum {string}
       */
      type: 'prompt_from_file';
      /**
       * File Path
       * @description Path to prompt text file
       */
      file_path?: string;
      /**
       * Pre Prompt
       * @description String to prepend to each prompt
       */
      pre_prompt?: string;
      /**
       * Post Prompt
       * @description String to append to each prompt
       */
      post_prompt?: string;
      /**
       * 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;
    };
    /**
     * Random Integer
     * @description Outputs a single random integer.
     */
    RandomIntInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default rand_int
       * @enum {string}
       */
      type: 'rand_int';
      /**
       * Low
       * @description The inclusive low value
       * @default 0
       */
      low?: number;
      /**
       * High
       * @description The exclusive high value
       * @default 2147483647
       */
      high?: number;
    };
    /**
     * Random Range
     * @description Creates a collection of random numbers
     */
    RandomRangeInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default random_range
       * @enum {string}
       */
      type: 'random_range';
      /**
       * Low
       * @description The inclusive low value
       * @default 0
       */
      low?: number;
      /**
       * High
       * @description The exclusive high value
       * @default 2147483647
       */
      high?: number;
      /**
       * Size
       * @description The number of values to generate
       * @default 1
       */
      size?: number;
      /**
       * Seed
       * @description The seed for the RNG (omit for random)
       */
      seed?: number;
    };
    /**
     * Integer Range
     * @description Creates a range of numbers from start to stop with step
     */
    RangeInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default range
       * @enum {string}
       */
      type: 'range';
      /**
       * Start
       * @description The start of the range
       * @default 0
       */
      start?: number;
      /**
       * Stop
       * @description The stop of the range
       * @default 10
       */
      stop?: number;
      /**
       * Step
       * @description The step of the range
       * @default 1
       */
      step?: number;
    };
    /**
     * Integer Range of Size
     * @description Creates a range from start to start + size with step
     */
    RangeOfSizeInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default range_of_size
       * @enum {string}
       */
      type: 'range_of_size';
      /**
       * Start
       * @description The start of the range
       * @default 0
       */
      start?: number;
      /**
       * Size
       * @description The number of values
       * @default 1
       */
      size?: number;
      /**
       * Step
       * @description The step of the range
       * @default 1
       */
      step?: number;
    };
    /** 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 node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default lresize
       * @enum {string}
       */
      type: 'lresize';
      /**
       * Latents
       * @description 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;
    };
    /**
     * 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';
    /**
     * SDXL Compel Prompt
     * @description Parse prompt using compel package to conditioning.
     */
    SDXLCompelPromptInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default sdxl_compel_prompt
       * @enum {string}
       */
      type: 'sdxl_compel_prompt';
      /**
       * 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
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       */
      clip?: components['schemas']['ClipField'];
      /**
       * Clip2
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       */
      clip2?: components['schemas']['ClipField'];
    };
    /**
     * SDXL LoRA Loader
     * @description Apply selected lora to unet and text_encoder.
     */
    SDXLLoraLoaderInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default sdxl_lora_loader
       * @enum {string}
       */
      type: 'sdxl_lora_loader';
      /**
       * LoRA
       * @description LoRA model to load
       */
      lora: components['schemas']['LoRAModelField'];
      /**
       * Weight
       * @description The weight at which the LoRA is applied to each model
       * @default 0.75
       */
      weight?: number;
      /**
       * UNET
       * @description UNet (scheduler, LoRAs)
       */
      unet?: components['schemas']['UNetField'];
      /**
       * 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'];
    };
    /**
     * SDXLLoraLoaderOutput
     * @description SDXL LoRA Loader Output
     */
    SDXLLoraLoaderOutput: {
      /**
       * Type
       * @default sdxl_lora_loader_output
       * @enum {string}
       */
      type?: 'sdxl_lora_loader_output';
      /**
       * 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'];
    };
    /**
     * SDXL Main Model Loader
     * @description Loads an sdxl base model, outputting its submodels.
     */
    SDXLModelLoaderInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default sdxl_model_loader
       * @enum {string}
       */
      type: 'sdxl_model_loader';
      /**
       * Model
       * @description SDXL Main model (UNet, VAE, CLIP1, CLIP2) to load
       */
      model: components['schemas']['MainModelField'];
    };
    /**
     * SDXLModelLoaderOutput
     * @description SDXL base model loader output
     */
    SDXLModelLoaderOutput: {
      /**
       * Type
       * @default sdxl_model_loader_output
       * @enum {string}
       */
      type?: 'sdxl_model_loader_output';
      /**
       * 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'];
    };
    /**
     * SDXL Refiner Compel Prompt
     * @description Parse prompt using compel package to conditioning.
     */
    SDXLRefinerCompelPromptInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default sdxl_refiner_compel_prompt
       * @enum {string}
       */
      type: 'sdxl_refiner_compel_prompt';
      /**
       * 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;
      /**
       * Clip2
       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
       */
      clip2?: components['schemas']['ClipField'];
    };
    /**
     * SDXL Refiner Model Loader
     * @description Loads an sdxl refiner model, outputting its submodels.
     */
    SDXLRefinerModelLoaderInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default sdxl_refiner_model_loader
       * @enum {string}
       */
      type: 'sdxl_refiner_model_loader';
      /**
       * Model
       * @description SDXL Refiner Main Modde (UNet, VAE, CLIP2) to load
       */
      model: components['schemas']['MainModelField'];
    };
    /**
     * SDXLRefinerModelLoaderOutput
     * @description SDXL refiner model loader output
     */
    SDXLRefinerModelLoaderOutput: {
      /**
       * Type
       * @default sdxl_refiner_model_loader_output
       * @enum {string}
       */
      type?: 'sdxl_refiner_model_loader_output';
      /**
       * 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'];
    };
    /**
     * Scale Latents
     * @description Scales latents by a given factor.
     */
    ScaleLatentsInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default lscale
       * @enum {string}
       */
      type: 'lscale';
      /**
       * Latents
       * @description 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;
    };
    /**
     * SchedulerPredictionType
     * @description An enumeration.
     * @enum {string}
     */
    SchedulerPredictionType: 'epsilon' | 'v_prediction' | 'sample';
    /**
     * Segment Anything Processor
     * @description Applies segment anything processing to image
     */
    SegmentAnythingProcessorInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default segment_anything_processor
       * @enum {string}
       */
      type: 'segment_anything_processor';
      /**
       * Image
       * @description The image to process
       */
      image?: components['schemas']['ImageField'];
    };
    /**
     * Show Image
     * @description Displays a provided image, and passes it forward in the pipeline.
     */
    ShowImageInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default show_image
       * @enum {string}
       */
      type: 'show_image';
      /**
       * Image
       * @description The image to show
       */
      image?: components['schemas']['ImageField'];
    };
    /** StableDiffusion1ModelCheckpointConfig */
    StableDiffusion1ModelCheckpointConfig: {
      /** Model Name */
      model_name: string;
      base_model: components['schemas']['BaseModelType'];
      /**
       * Model Type
       * @enum {string}
       */
      model_type: 'main';
      /** Path */
      path: string;
      /** Description */
      description?: string;
      /**
       * Model Format
       * @enum {string}
       */
      model_format: 'checkpoint';
      error?: components['schemas']['ModelError'];
      /** Vae */
      vae?: string;
      /** Config */
      config: string;
      variant: components['schemas']['ModelVariantType'];
    };
    /** StableDiffusion1ModelDiffusersConfig */
    StableDiffusion1ModelDiffusersConfig: {
      /** Model Name */
      model_name: string;
      base_model: components['schemas']['BaseModelType'];
      /**
       * Model Type
       * @enum {string}
       */
      model_type: 'main';
      /** Path */
      path: string;
      /** Description */
      description?: string;
      /**
       * Model Format
       * @enum {string}
       */
      model_format: 'diffusers';
      error?: components['schemas']['ModelError'];
      /** Vae */
      vae?: string;
      variant: components['schemas']['ModelVariantType'];
    };
    /** StableDiffusion2ModelCheckpointConfig */
    StableDiffusion2ModelCheckpointConfig: {
      /** Model Name */
      model_name: string;
      base_model: components['schemas']['BaseModelType'];
      /**
       * Model Type
       * @enum {string}
       */
      model_type: 'main';
      /** Path */
      path: string;
      /** Description */
      description?: string;
      /**
       * Model Format
       * @enum {string}
       */
      model_format: 'checkpoint';
      error?: components['schemas']['ModelError'];
      /** Vae */
      vae?: string;
      /** Config */
      config: string;
      variant: components['schemas']['ModelVariantType'];
    };
    /** StableDiffusion2ModelDiffusersConfig */
    StableDiffusion2ModelDiffusersConfig: {
      /** Model Name */
      model_name: string;
      base_model: components['schemas']['BaseModelType'];
      /**
       * Model Type
       * @enum {string}
       */
      model_type: 'main';
      /** Path */
      path: string;
      /** Description */
      description?: string;
      /**
       * Model Format
       * @enum {string}
       */
      model_format: 'diffusers';
      error?: components['schemas']['ModelError'];
      /** Vae */
      vae?: string;
      variant: components['schemas']['ModelVariantType'];
    };
    /** StableDiffusionXLModelCheckpointConfig */
    StableDiffusionXLModelCheckpointConfig: {
      /** Model Name */
      model_name: string;
      base_model: components['schemas']['BaseModelType'];
      /**
       * Model Type
       * @enum {string}
       */
      model_type: 'main';
      /** Path */
      path: string;
      /** Description */
      description?: string;
      /**
       * Model Format
       * @enum {string}
       */
      model_format: 'checkpoint';
      error?: components['schemas']['ModelError'];
      /** Vae */
      vae?: string;
      /** Config */
      config: string;
      variant: components['schemas']['ModelVariantType'];
    };
    /** StableDiffusionXLModelDiffusersConfig */
    StableDiffusionXLModelDiffusersConfig: {
      /** Model Name */
      model_name: string;
      base_model: components['schemas']['BaseModelType'];
      /**
       * Model Type
       * @enum {string}
       */
      model_type: 'main';
      /** Path */
      path: string;
      /** Description */
      description?: string;
      /**
       * Model Format
       * @enum {string}
       */
      model_format: 'diffusers';
      error?: components['schemas']['ModelError'];
      /** Vae */
      vae?: string;
      variant: components['schemas']['ModelVariantType'];
    };
    /**
     * Step Param Easing
     * @description Experimental per-step parameter easing for denoising steps
     */
    StepParamEasingInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default step_param_easing
       * @enum {string}
       */
      type: 'step_param_easing';
      /**
       * Easing
       * @description The easing function to use
       * @default Linear
       * @enum {string}
       */
      easing?:
        | 'Linear'
        | 'QuadIn'
        | 'QuadOut'
        | 'QuadInOut'
        | 'CubicIn'
        | 'CubicOut'
        | 'CubicInOut'
        | 'QuarticIn'
        | 'QuarticOut'
        | 'QuarticInOut'
        | 'QuinticIn'
        | 'QuinticOut'
        | 'QuinticInOut'
        | 'SineIn'
        | 'SineOut'
        | 'SineInOut'
        | 'CircularIn'
        | 'CircularOut'
        | 'CircularInOut'
        | 'ExponentialIn'
        | 'ExponentialOut'
        | 'ExponentialInOut'
        | 'ElasticIn'
        | 'ElasticOut'
        | 'ElasticInOut'
        | 'BackIn'
        | 'BackOut'
        | 'BackInOut'
        | 'BounceIn'
        | 'BounceOut'
        | 'BounceInOut';
      /**
       * Num Steps
       * @description number of denoising steps
       * @default 20
       */
      num_steps?: number;
      /**
       * Start Value
       * @description easing starting value
       * @default 0
       */
      start_value?: number;
      /**
       * End Value
       * @description easing ending value
       * @default 1
       */
      end_value?: number;
      /**
       * Start Step Percent
       * @description fraction of steps at which to start easing
       * @default 0
       */
      start_step_percent?: number;
      /**
       * End Step Percent
       * @description fraction of steps after which to end easing
       * @default 1
       */
      end_step_percent?: number;
      /**
       * Pre Start Value
       * @description value before easing start
       */
      pre_start_value?: number;
      /**
       * Post End Value
       * @description value after easing end
       */
      post_end_value?: number;
      /**
       * Mirror
       * @description include mirror of easing function
       * @default false
       */
      mirror?: boolean;
      /**
       * Show Easing Plot
       * @description show easing plot
       * @default false
       */
      show_easing_plot?: boolean;
    };
    /**
     * String Collection
     * @description A collection of string primitive values
     */
    StringCollectionInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default string_collection
       * @enum {string}
       */
      type: 'string_collection';
      /**
       * Collection
       * @description The collection of string values
       * @default 0
       */
      collection?: string[];
    };
    /**
     * StringCollectionOutput
     * @description Base class for nodes that output a collection of strings
     */
    StringCollectionOutput: {
      /**
       * Type
       * @default string_collection_output
       * @enum {string}
       */
      type?: 'string_collection_output';
      /**
       * Collection
       * @description The output strings
       */
      collection?: string[];
    };
    /**
     * String
     * @description A string primitive value
     */
    StringInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default string
       * @enum {string}
       */
      type: 'string';
      /**
       * Text
       * @description The string value
       * @default
       */
      text?: string;
    };
    /**
     * StringOutput
     * @description Base class for nodes that output a single string
     */
    StringOutput: {
      /**
       * Type
       * @default string_output
       * @enum {string}
       */
      type?: 'string_output';
      /**
       * Text
       * @description The output string
       */
      text: string;
    };
    /**
     * SubModelType
     * @description An enumeration.
     * @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 node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default sub
       * @enum {string}
       */
      type: 'sub';
      /**
       * A
       * @description The first number
       * @default 0
       */
      a?: number;
      /**
       * B
       * @description The second number
       * @default 0
       */
      b?: number;
    };
    /** TextualInversionModelConfig */
    TextualInversionModelConfig: {
      /** Model Name */
      model_name: string;
      base_model: components['schemas']['BaseModelType'];
      /**
       * Model Type
       * @enum {string}
       */
      model_type: 'embedding';
      /** Path */
      path: string;
      /** Description */
      description?: string;
      /** Model Format */
      model_format: null;
      error?: components['schemas']['ModelError'];
    };
    /**
     * Tile Resample Processor
     * @description Tile resampler processor
     */
    TileResamplerProcessorInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default tile_image_processor
       * @enum {string}
       */
      type: 'tile_image_processor';
      /**
       * Image
       * @description The image to process
       */
      image?: components['schemas']['ImageField'];
      /**
       * Down Sampling Rate
       * @description Down sampling rate
       * @default 1
       */
      down_sampling_rate?: number;
    };
    /** UNetField */
    UNetField: {
      /**
       * Unet
       * @description Info to load unet submodel
       */
      unet: components['schemas']['ModelInfo'];
      /**
       * Scheduler
       * @description Info to load scheduler submodel
       */
      scheduler: components['schemas']['ModelInfo'];
      /**
       * Loras
       * @description Loras to apply on model loading
       */
      loras: components['schemas']['LoraInfo'][];
    };
    /** Upscaler */
    Upscaler: {
      /**
       * Upscaling Method
       * @description Name of upscaling method
       */
      upscaling_method: string;
      /**
       * Upscaling Models
       * @description List of upscaling models for this method
       */
      upscaling_models: string[];
    };
    /**
     * VAEModelField
     * @description Vae model field
     */
    VAEModelField: {
      /**
       * Model Name
       * @description Name of the model
       */
      model_name: string;
      /** @description Base model */
      base_model: components['schemas']['BaseModelType'];
    };
    /** VaeField */
    VaeField: {
      /**
       * Vae
       * @description Info to load vae submodel
       */
      vae: components['schemas']['ModelInfo'];
    };
    /**
     * VAE Loader
     * @description Loads a VAE model, outputting a VaeLoaderOutput
     */
    VaeLoaderInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default vae_loader
       * @enum {string}
       */
      type: 'vae_loader';
      /**
       * VAE
       * @description VAE model to load
       */
      vae_model: components['schemas']['VAEModelField'];
    };
    /**
     * VaeLoaderOutput
     * @description Model loader output
     */
    VaeLoaderOutput: {
      /**
       * Type
       * @default vae_loader_output
       * @enum {string}
       */
      type?: 'vae_loader_output';
      /**
       * VAE
       * @description VAE
       */
      vae: components['schemas']['VaeField'];
    };
    /** VaeModelConfig */
    VaeModelConfig: {
      /** Model Name */
      model_name: string;
      base_model: components['schemas']['BaseModelType'];
      /**
       * Model Type
       * @enum {string}
       */
      model_type: 'vae';
      /** Path */
      path: string;
      /** Description */
      description?: string;
      model_format: components['schemas']['VaeModelFormat'];
      error?: components['schemas']['ModelError'];
    };
    /**
     * VaeModelFormat
     * @description An enumeration.
     * @enum {string}
     */
    VaeModelFormat: 'checkpoint' | 'diffusers';
    /** ValidationError */
    ValidationError: {
      /** Location */
      loc: (string | number)[];
      /** Message */
      msg: string;
      /** Error Type */
      type: string;
    };
    /**
     * Zoe (Depth) Processor
     * @description Applies Zoe depth processing to image
     */
    ZoeDepthImageProcessorInvocation: {
      /**
       * Id
       * @description The id of this node. Must be unique among all nodes.
       */
      id: string;
      /**
       * Is Intermediate
       * @description Whether or not this node is an intermediate node.
       * @default false
       */
      is_intermediate?: boolean;
      /**
       * Type
       * @default zoe_depth_image_processor
       * @enum {string}
       */
      type: 'zoe_depth_image_processor';
      /**
       * Image
       * @description The image to process
       */
      image?: components['schemas']['ImageField'];
    };
    /**
     * StableDiffusion2ModelFormat
     * @description An enumeration.
     * @enum {string}
     */
    Input: 'connection' | 'direct' | 'any';
    /**
     * ControlNetModelFormat
     * @description An enumeration.
     * @enum {string}
     */
    ControlNetModelFormat: 'checkpoint' | 'diffusers';
    /**
     * StableDiffusion1ModelFormat
     * @description An enumeration.
     * @enum {string}
     */
    UIType:
      | 'integer'
      | 'float'
      | 'boolean'
      | 'string'
      | 'array'
      | 'ImageField'
      | 'LatentsField'
      | 'ConditioningField'
      | 'ControlField'
      | 'ColorField'
      | 'ImageCollection'
      | 'ConditioningCollection'
      | 'ColorCollection'
      | 'LatentsCollection'
      | 'IntegerCollection'
      | 'FloatCollection'
      | 'StringCollection'
      | 'BooleanCollection'
      | 'MainModelField'
      | 'SDXLMainModelField'
      | 'SDXLRefinerModelField'
      | 'ONNXModelField'
      | 'VaeModelField'
      | 'LoRAModelField'
      | 'ControlNetModelField'
      | 'UNetField'
      | 'VaeField'
      | 'ClipField'
      | 'Collection'
      | 'CollectionItem'
      | 'FilePath'
      | 'enum';
    /**
     * StableDiffusionOnnxModelFormat
     * @description An enumeration.
     * @enum {string}
     */
    StableDiffusionOnnxModelFormat: 'olive' | 'onnx';
    /**
     * _InputField
     * @description *DO NOT USE*
     * This helper class is used to tell the client about our custom field attributes via OpenAPI
     * schema generation, and Typescript type generation from that schema. It serves no functional
     * purpose in the backend.
     */
    _InputField: {
      input: components['schemas']['Input'];
      /** Ui Hidden */
      ui_hidden: boolean;
      ui_type?: components['schemas']['UIType'];
      ui_component?: components['schemas']['UIComponent'];
    };
    /**
     * _OutputField
     * @description *DO NOT USE*
     * This helper class is used to tell the client about our custom field attributes via OpenAPI
     * schema generation, and Typescript type generation from that schema. It serves no functional
     * purpose in the backend.
     */
    _OutputField: {
      /** Ui Hidden */
      ui_hidden: boolean;
      ui_type?: components['schemas']['UIType'];
    };
    /**
     * StableDiffusionXLModelFormat
     * @description An enumeration.
     * @enum {string}
     */
    StableDiffusionXLModelFormat: 'checkpoint' | 'diffusers';
    /**
     * StableDiffusion1ModelFormat
     * @description An enumeration.
     * @enum {string}
     */
    StableDiffusion1ModelFormat: 'checkpoint' | 'diffusers';
    /**
     * ControlNetModelFormat
     * @description An enumeration.
     * @enum {string}
     */
    ControlNetModelFormat: 'checkpoint' | 'diffusers';
    /**
     * StableDiffusion2ModelFormat
     * @description An enumeration.
     * @enum {string}
     */
    StableDiffusion2ModelFormat: 'checkpoint' | 'diffusers';
    /**
     * StableDiffusionOnnxModelFormat
     * @description An enumeration.
     * @enum {string}
     */
    StableDiffusionOnnxModelFormat: 'olive' | 'onnx';
  };
  responses: never;
  parameters: never;
  requestBodies: never;
  headers: never;
  pathItems: never;
};

export type external = Record<string, never>;

export type operations = {
  /**
   * List Sessions
   * @description Gets a list of sessions, optionally searching
   */
  list_sessions: {
    parameters: {
      query?: {
        /** @description The page of results to get */
        page?: number;
        /** @description The number of results per page */
        per_page?: number;
        /** @description The query string to search for */
        query?: string;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          'application/json': components['schemas']['PaginatedResults_GraphExecutionState_'];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * Create Session
   * @description Creates a new session, optionally initializing it with an invocation graph
   */
  create_session: {
    requestBody?: {
      content: {
        'application/json': components['schemas']['Graph'];
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          'application/json': components['schemas']['GraphExecutionState'];
        };
      };
      /** @description Invalid json */
      400: never;
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * Get Session
   * @description Gets a session
   */
  get_session: {
    parameters: {
      path: {
        /** @description The id of the session to get */
        session_id: string;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          'application/json': components['schemas']['GraphExecutionState'];
        };
      };
      /** @description Session not found */
      404: never;
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * Add Node
   * @description Adds a node to the graph
   */
  add_node: {
    parameters: {
      path: {
        /** @description The id of the session */
        session_id: string;
      };
    };
    requestBody: {
      content: {
        'application/json':
          | components['schemas']['ControlNetInvocation']
          | components['schemas']['ImageProcessorInvocation']
          | components['schemas']['MainModelLoaderInvocation']
          | components['schemas']['LoraLoaderInvocation']
          | components['schemas']['SDXLLoraLoaderInvocation']
          | components['schemas']['VaeLoaderInvocation']
          | components['schemas']['MetadataAccumulatorInvocation']
          | components['schemas']['RangeInvocation']
          | components['schemas']['RangeOfSizeInvocation']
          | components['schemas']['RandomRangeInvocation']
          | components['schemas']['ImageCollectionInvocation']
          | components['schemas']['CompelInvocation']
          | components['schemas']['SDXLCompelPromptInvocation']
          | components['schemas']['SDXLRefinerCompelPromptInvocation']
          | components['schemas']['ClipSkipInvocation']
          | components['schemas']['LoadImageInvocation']
          | components['schemas']['ShowImageInvocation']
          | components['schemas']['ImageCropInvocation']
          | components['schemas']['ImagePasteInvocation']
          | components['schemas']['MaskFromAlphaInvocation']
          | components['schemas']['ImageMultiplyInvocation']
          | components['schemas']['ImageChannelInvocation']
          | components['schemas']['ImageConvertInvocation']
          | components['schemas']['ImageBlurInvocation']
          | components['schemas']['ImageResizeInvocation']
          | components['schemas']['ImageScaleInvocation']
          | components['schemas']['ImageLerpInvocation']
          | components['schemas']['ImageInverseLerpInvocation']
          | components['schemas']['ImageNSFWBlurInvocation']
          | components['schemas']['ImageWatermarkInvocation']
          | components['schemas']['MaskEdgeInvocation']
          | components['schemas']['MaskCombineInvocation']
          | components['schemas']['ColorCorrectInvocation']
          | components['schemas']['ImageHueAdjustmentInvocation']
          | components['schemas']['ImageLuminosityAdjustmentInvocation']
          | components['schemas']['ImageSaturationAdjustmentInvocation']
          | components['schemas']['CvInpaintInvocation']
          | components['schemas']['InfillColorInvocation']
          | components['schemas']['InfillTileInvocation']
          | components['schemas']['InfillPatchMatchInvocation']
          | components['schemas']['DenoiseLatentsInvocation']
          | components['schemas']['LatentsToImageInvocation']
          | components['schemas']['ResizeLatentsInvocation']
          | components['schemas']['ScaleLatentsInvocation']
          | components['schemas']['ImageToLatentsInvocation']
          | components['schemas']['AddInvocation']
          | components['schemas']['SubtractInvocation']
          | components['schemas']['MultiplyInvocation']
          | components['schemas']['DivideInvocation']
          | components['schemas']['RandomIntInvocation']
          | components['schemas']['NoiseInvocation']
          | components['schemas']['ONNXPromptInvocation']
          | components['schemas']['ONNXTextToLatentsInvocation']
          | components['schemas']['ONNXLatentsToImageInvocation']
          | components['schemas']['ONNXSD1ModelLoaderInvocation']
          | components['schemas']['OnnxModelLoaderInvocation']
          | components['schemas']['DynamicPromptInvocation']
          | components['schemas']['PromptsFromFileInvocation']
          | components['schemas']['ParamIntInvocation']
          | components['schemas']['ParamFloatInvocation']
          | components['schemas']['ParamStringInvocation']
          | components['schemas']['ParamPromptInvocation']
          | components['schemas']['FloatLinearRangeInvocation']
          | components['schemas']['StepParamEasingInvocation']
          | components['schemas']['SDXLModelLoaderInvocation']
          | components['schemas']['SDXLRefinerModelLoaderInvocation']
          | components['schemas']['ESRGANInvocation']
          | components['schemas']['GraphInvocation']
          | components['schemas']['IterateInvocation']
          | components['schemas']['CollectInvocation']
          | components['schemas']['CannyImageProcessorInvocation']
          | components['schemas']['HedImageProcessorInvocation']
          | components['schemas']['LineartImageProcessorInvocation']
          | components['schemas']['LineartAnimeImageProcessorInvocation']
          | components['schemas']['OpenposeImageProcessorInvocation']
          | components['schemas']['MidasDepthImageProcessorInvocation']
          | components['schemas']['NormalbaeImageProcessorInvocation']
          | components['schemas']['MlsdImageProcessorInvocation']
          | components['schemas']['PidiImageProcessorInvocation']
          | components['schemas']['ContentShuffleImageProcessorInvocation']
          | components['schemas']['ZoeDepthImageProcessorInvocation']
          | components['schemas']['MediapipeFaceProcessorInvocation']
          | components['schemas']['LeresImageProcessorInvocation']
          | components['schemas']['TileResamplerProcessorInvocation']
          | components['schemas']['SegmentAnythingProcessorInvocation'];
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          'application/json': string;
        };
      };
      /** @description Invalid node or link */
      400: never;
      /** @description Session not found */
      404: never;
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * Update Node
   * @description Updates a node in the graph and removes all linked edges
   */
  update_node: {
    parameters: {
      path: {
        /** @description The id of the session */
        session_id: string;
        /** @description The path to the node in the graph */
        node_path: string;
      };
    };
    requestBody: {
      content: {
        'application/json':
          | components['schemas']['ControlNetInvocation']
          | components['schemas']['ImageProcessorInvocation']
          | components['schemas']['MainModelLoaderInvocation']
          | components['schemas']['LoraLoaderInvocation']
          | components['schemas']['SDXLLoraLoaderInvocation']
          | components['schemas']['VaeLoaderInvocation']
          | components['schemas']['MetadataAccumulatorInvocation']
          | components['schemas']['RangeInvocation']
          | components['schemas']['RangeOfSizeInvocation']
          | components['schemas']['RandomRangeInvocation']
          | components['schemas']['ImageCollectionInvocation']
          | components['schemas']['CompelInvocation']
          | components['schemas']['SDXLCompelPromptInvocation']
          | components['schemas']['SDXLRefinerCompelPromptInvocation']
          | components['schemas']['ClipSkipInvocation']
          | components['schemas']['LoadImageInvocation']
          | components['schemas']['ShowImageInvocation']
          | components['schemas']['ImageCropInvocation']
          | components['schemas']['ImagePasteInvocation']
          | components['schemas']['MaskFromAlphaInvocation']
          | components['schemas']['ImageMultiplyInvocation']
          | components['schemas']['ImageChannelInvocation']
          | components['schemas']['ImageConvertInvocation']
          | components['schemas']['ImageBlurInvocation']
          | components['schemas']['ImageResizeInvocation']
          | components['schemas']['ImageScaleInvocation']
          | components['schemas']['ImageLerpInvocation']
          | components['schemas']['ImageInverseLerpInvocation']
          | components['schemas']['ImageNSFWBlurInvocation']
          | components['schemas']['ImageWatermarkInvocation']
          | components['schemas']['MaskEdgeInvocation']
          | components['schemas']['MaskCombineInvocation']
          | components['schemas']['ColorCorrectInvocation']
          | components['schemas']['ImageHueAdjustmentInvocation']
          | components['schemas']['ImageLuminosityAdjustmentInvocation']
          | components['schemas']['ImageSaturationAdjustmentInvocation']
          | components['schemas']['CvInpaintInvocation']
          | components['schemas']['InfillColorInvocation']
          | components['schemas']['InfillTileInvocation']
          | components['schemas']['InfillPatchMatchInvocation']
          | components['schemas']['DenoiseLatentsInvocation']
          | components['schemas']['LatentsToImageInvocation']
          | components['schemas']['ResizeLatentsInvocation']
          | components['schemas']['ScaleLatentsInvocation']
          | components['schemas']['ImageToLatentsInvocation']
          | components['schemas']['AddInvocation']
          | components['schemas']['SubtractInvocation']
          | components['schemas']['MultiplyInvocation']
          | components['schemas']['DivideInvocation']
          | components['schemas']['RandomIntInvocation']
          | components['schemas']['NoiseInvocation']
          | components['schemas']['ONNXPromptInvocation']
          | components['schemas']['ONNXTextToLatentsInvocation']
          | components['schemas']['ONNXLatentsToImageInvocation']
          | components['schemas']['ONNXSD1ModelLoaderInvocation']
          | components['schemas']['OnnxModelLoaderInvocation']
          | components['schemas']['DynamicPromptInvocation']
          | components['schemas']['PromptsFromFileInvocation']
          | components['schemas']['ParamIntInvocation']
          | components['schemas']['ParamFloatInvocation']
          | components['schemas']['ParamStringInvocation']
          | components['schemas']['ParamPromptInvocation']
          | components['schemas']['FloatLinearRangeInvocation']
          | components['schemas']['StepParamEasingInvocation']
          | components['schemas']['SDXLModelLoaderInvocation']
          | components['schemas']['SDXLRefinerModelLoaderInvocation']
          | components['schemas']['ESRGANInvocation']
          | components['schemas']['GraphInvocation']
          | components['schemas']['IterateInvocation']
          | components['schemas']['CollectInvocation']
          | components['schemas']['CannyImageProcessorInvocation']
          | components['schemas']['HedImageProcessorInvocation']
          | components['schemas']['LineartImageProcessorInvocation']
          | components['schemas']['LineartAnimeImageProcessorInvocation']
          | components['schemas']['OpenposeImageProcessorInvocation']
          | components['schemas']['MidasDepthImageProcessorInvocation']
          | components['schemas']['NormalbaeImageProcessorInvocation']
          | components['schemas']['MlsdImageProcessorInvocation']
          | components['schemas']['PidiImageProcessorInvocation']
          | components['schemas']['ContentShuffleImageProcessorInvocation']
          | components['schemas']['ZoeDepthImageProcessorInvocation']
          | components['schemas']['MediapipeFaceProcessorInvocation']
          | components['schemas']['LeresImageProcessorInvocation']
          | components['schemas']['TileResamplerProcessorInvocation']
          | components['schemas']['SegmentAnythingProcessorInvocation'];
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          'application/json': components['schemas']['GraphExecutionState'];
        };
      };
      /** @description Invalid node or link */
      400: never;
      /** @description Session not found */
      404: never;
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * Delete Node
   * @description Deletes a node in the graph and removes all linked edges
   */
  delete_node: {
    parameters: {
      path: {
        /** @description The id of the session */
        session_id: string;
        /** @description The path to the node to delete */
        node_path: string;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          'application/json': components['schemas']['GraphExecutionState'];
        };
      };
      /** @description Invalid node or link */
      400: never;
      /** @description Session not found */
      404: never;
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * Add Edge
   * @description Adds an edge to the graph
   */
  add_edge: {
    parameters: {
      path: {
        /** @description The id of the session */
        session_id: string;
      };
    };
    requestBody: {
      content: {
        'application/json': components['schemas']['Edge'];
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          'application/json': components['schemas']['GraphExecutionState'];
        };
      };
      /** @description Invalid node or link */
      400: never;
      /** @description Session not found */
      404: never;
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * Delete Edge
   * @description Deletes an edge from the graph
   */
  delete_edge: {
    parameters: {
      path: {
        /** @description The id of the session */
        session_id: string;
        /** @description The id of the node the edge is coming from */
        from_node_id: string;
        /** @description The field of the node the edge is coming from */
        from_field: string;
        /** @description The id of the node the edge is going to */
        to_node_id: string;
        /** @description The field of the node the edge is going to */
        to_field: string;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          'application/json': components['schemas']['GraphExecutionState'];
        };
      };
      /** @description Invalid node or link */
      400: never;
      /** @description Session not found */
      404: never;
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * Invoke Session
   * @description Invokes a session
   */
  invoke_session: {
    parameters: {
      query?: {
        /** @description Whether or not to invoke all remaining invocations */
        all?: boolean;
      };
      path: {
        /** @description The id of the session to invoke */
        session_id: string;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          'application/json': unknown;
        };
      };
      /** @description The invocation is queued */
      202: never;
      /** @description The session has no invocations ready to invoke */
      400: never;
      /** @description Session not found */
      404: never;
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * Cancel Session Invoke
   * @description Invokes a session
   */
  cancel_session_invoke: {
    parameters: {
      path: {
        /** @description The id of the session to cancel */
        session_id: string;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          'application/json': unknown;
        };
      };
      /** @description The invocation is canceled */
      202: never;
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * List Models
   * @description Gets a list of models
   */
  list_models: {
    parameters: {
      query?: {
        /** @description Base models to include */
        base_models?: components['schemas']['BaseModelType'][];
        /** @description The type of model to get */
        model_type?: components['schemas']['ModelType'];
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          'application/json': components['schemas']['ModelsList'];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * Delete Model
   * @description Delete Model
   */
  del_model: {
    parameters: {
      path: {
        /** @description Base model */
        base_model: components['schemas']['BaseModelType'];
        /** @description The type of model */
        model_type: components['schemas']['ModelType'];
        /** @description model name */
        model_name: string;
      };
    };
    responses: {
      /** @description Model deleted successfully */
      204: never;
      /** @description Model not found */
      404: never;
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * Update Model
   * @description Update model contents with a new config. If the model name or base fields are changed, then the model is renamed.
   */
  update_model: {
    parameters: {
      path: {
        /** @description Base model */
        base_model: components['schemas']['BaseModelType'];
        /** @description The type of model */
        model_type: components['schemas']['ModelType'];
        /** @description model name */
        model_name: string;
      };
    };
    requestBody: {
      content: {
        'application/json':
          | components['schemas']['ONNXStableDiffusion1ModelConfig']
          | components['schemas']['StableDiffusion1ModelCheckpointConfig']
          | components['schemas']['StableDiffusion1ModelDiffusersConfig']
          | components['schemas']['VaeModelConfig']
          | components['schemas']['LoRAModelConfig']
          | components['schemas']['ControlNetModelCheckpointConfig']
          | components['schemas']['ControlNetModelDiffusersConfig']
          | components['schemas']['TextualInversionModelConfig']
          | components['schemas']['ONNXStableDiffusion2ModelConfig']
          | components['schemas']['StableDiffusion2ModelCheckpointConfig']
          | components['schemas']['StableDiffusion2ModelDiffusersConfig']
          | components['schemas']['StableDiffusionXLModelCheckpointConfig']
          | components['schemas']['StableDiffusionXLModelDiffusersConfig'];
      };
    };
    responses: {
      /** @description The model was updated successfully */
      200: {
        content: {
          'application/json':
            | components['schemas']['ONNXStableDiffusion1ModelConfig']
            | components['schemas']['StableDiffusion1ModelCheckpointConfig']
            | components['schemas']['StableDiffusion1ModelDiffusersConfig']
            | components['schemas']['VaeModelConfig']
            | components['schemas']['LoRAModelConfig']
            | components['schemas']['ControlNetModelCheckpointConfig']
            | components['schemas']['ControlNetModelDiffusersConfig']
            | components['schemas']['TextualInversionModelConfig']
            | components['schemas']['ONNXStableDiffusion2ModelConfig']
            | components['schemas']['StableDiffusion2ModelCheckpointConfig']
            | components['schemas']['StableDiffusion2ModelDiffusersConfig']
            | components['schemas']['StableDiffusionXLModelCheckpointConfig']
            | components['schemas']['StableDiffusionXLModelDiffusersConfig'];
        };
      };
      /** @description Bad request */
      400: never;
      /** @description The model could not be found */
      404: never;
      /** @description There is already a model corresponding to the new name */
      409: never;
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * Import Model
   * @description Add a model using its local path, repo_id, or remote URL. Model characteristics will be probed and configured automatically
   */
  import_model: {
    requestBody: {
      content: {
        'application/json': components['schemas']['Body_import_model'];
      };
    };
    responses: {
      /** @description The model imported successfully */
      201: {
        content: {
          'application/json':
            | components['schemas']['ONNXStableDiffusion1ModelConfig']
            | components['schemas']['StableDiffusion1ModelCheckpointConfig']
            | components['schemas']['StableDiffusion1ModelDiffusersConfig']
            | components['schemas']['VaeModelConfig']
            | components['schemas']['LoRAModelConfig']
            | components['schemas']['ControlNetModelCheckpointConfig']
            | components['schemas']['ControlNetModelDiffusersConfig']
            | components['schemas']['TextualInversionModelConfig']
            | components['schemas']['ONNXStableDiffusion2ModelConfig']
            | components['schemas']['StableDiffusion2ModelCheckpointConfig']
            | components['schemas']['StableDiffusion2ModelDiffusersConfig']
            | components['schemas']['StableDiffusionXLModelCheckpointConfig']
            | components['schemas']['StableDiffusionXLModelDiffusersConfig'];
        };
      };
      /** @description The model could not be found */
      404: never;
      /** @description There is already a model corresponding to this path or repo_id */
      409: never;
      /** @description Unrecognized file/folder format */
      415: 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: never;
    };
  };
  /**
   * Add Model
   * @description Add a model using the configuration information appropriate for its type. Only local models can be added by path
   */
  add_model: {
    requestBody: {
      content: {
        'application/json':
          | components['schemas']['ONNXStableDiffusion1ModelConfig']
          | components['schemas']['StableDiffusion1ModelCheckpointConfig']
          | components['schemas']['StableDiffusion1ModelDiffusersConfig']
          | components['schemas']['VaeModelConfig']
          | components['schemas']['LoRAModelConfig']
          | components['schemas']['ControlNetModelCheckpointConfig']
          | components['schemas']['ControlNetModelDiffusersConfig']
          | components['schemas']['TextualInversionModelConfig']
          | components['schemas']['ONNXStableDiffusion2ModelConfig']
          | components['schemas']['StableDiffusion2ModelCheckpointConfig']
          | components['schemas']['StableDiffusion2ModelDiffusersConfig']
          | components['schemas']['StableDiffusionXLModelCheckpointConfig']
          | components['schemas']['StableDiffusionXLModelDiffusersConfig'];
      };
    };
    responses: {
      /** @description The model added successfully */
      201: {
        content: {
          'application/json':
            | components['schemas']['ONNXStableDiffusion1ModelConfig']
            | components['schemas']['StableDiffusion1ModelCheckpointConfig']
            | components['schemas']['StableDiffusion1ModelDiffusersConfig']
            | components['schemas']['VaeModelConfig']
            | components['schemas']['LoRAModelConfig']
            | components['schemas']['ControlNetModelCheckpointConfig']
            | components['schemas']['ControlNetModelDiffusersConfig']
            | components['schemas']['TextualInversionModelConfig']
            | components['schemas']['ONNXStableDiffusion2ModelConfig']
            | components['schemas']['StableDiffusion2ModelCheckpointConfig']
            | components['schemas']['StableDiffusion2ModelDiffusersConfig']
            | components['schemas']['StableDiffusionXLModelCheckpointConfig']
            | components['schemas']['StableDiffusionXLModelDiffusersConfig'];
        };
      };
      /** @description The model could not be found */
      404: never;
      /** @description There is already a model corresponding to this path or repo_id */
      409: never;
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
      /** @description The model appeared to add successfully, but could not be found in the model manager */
      424: never;
    };
  };
  /**
   * Convert Model
   * @description Convert a checkpoint model into a diffusers model, optionally saving to the indicated destination directory, or `models` if none.
   */
  convert_model: {
    parameters: {
      query?: {
        /** @description Save the converted model to the designated directory */
        convert_dest_directory?: string;
      };
      path: {
        /** @description Base model */
        base_model: components['schemas']['BaseModelType'];
        /** @description The type of model */
        model_type: components['schemas']['ModelType'];
        /** @description model name */
        model_name: string;
      };
    };
    responses: {
      /** @description Model converted successfully */
      200: {
        content: {
          'application/json':
            | components['schemas']['ONNXStableDiffusion1ModelConfig']
            | components['schemas']['StableDiffusion1ModelCheckpointConfig']
            | components['schemas']['StableDiffusion1ModelDiffusersConfig']
            | components['schemas']['VaeModelConfig']
            | components['schemas']['LoRAModelConfig']
            | components['schemas']['ControlNetModelCheckpointConfig']
            | components['schemas']['ControlNetModelDiffusersConfig']
            | components['schemas']['TextualInversionModelConfig']
            | components['schemas']['ONNXStableDiffusion2ModelConfig']
            | components['schemas']['StableDiffusion2ModelCheckpointConfig']
            | components['schemas']['StableDiffusion2ModelDiffusersConfig']
            | components['schemas']['StableDiffusionXLModelCheckpointConfig']
            | components['schemas']['StableDiffusionXLModelDiffusersConfig'];
        };
      };
      /** @description Bad request */
      400: never;
      /** @description Model not found */
      404: never;
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /** Search For Models */
  search_for_models: {
    parameters: {
      query: {
        /** @description Directory path to search for models */
        search_path: string;
      };
    };
    responses: {
      /** @description Directory searched successfully */
      200: {
        content: {
          'application/json': string[];
        };
      };
      /** @description Invalid directory path */
      404: never;
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * List Ckpt Configs
   * @description Return a list of the legacy checkpoint configuration files stored in `ROOT/configs/stable-diffusion`, relative to ROOT.
   */
  list_ckpt_configs: {
    responses: {
      /** @description paths retrieved successfully */
      200: {
        content: {
          'application/json': string[];
        };
      };
    };
  };
  /**
   * Sync To Config
   * @description Call after making changes to models.yaml, autoimport directories or models directory to synchronize
   * in-memory data structures with disk data structures.
   */
  sync_to_config: {
    responses: {
      /** @description synchronization successful */
      201: {
        content: {
          'application/json': boolean;
        };
      };
    };
  };
  /**
   * Merge Models
   * @description Convert a checkpoint model into a diffusers model
   */
  merge_models: {
    parameters: {
      path: {
        /** @description Base model */
        base_model: components['schemas']['BaseModelType'];
      };
    };
    requestBody: {
      content: {
        'application/json': components['schemas']['Body_merge_models'];
      };
    };
    responses: {
      /** @description Model converted successfully */
      200: {
        content: {
          'application/json':
            | components['schemas']['ONNXStableDiffusion1ModelConfig']
            | components['schemas']['StableDiffusion1ModelCheckpointConfig']
            | components['schemas']['StableDiffusion1ModelDiffusersConfig']
            | components['schemas']['VaeModelConfig']
            | components['schemas']['LoRAModelConfig']
            | components['schemas']['ControlNetModelCheckpointConfig']
            | components['schemas']['ControlNetModelDiffusersConfig']
            | components['schemas']['TextualInversionModelConfig']
            | components['schemas']['ONNXStableDiffusion2ModelConfig']
            | components['schemas']['StableDiffusion2ModelCheckpointConfig']
            | components['schemas']['StableDiffusion2ModelDiffusersConfig']
            | components['schemas']['StableDiffusionXLModelCheckpointConfig']
            | components['schemas']['StableDiffusionXLModelDiffusersConfig'];
        };
      };
      /** @description Incompatible models */
      400: never;
      /** @description One or more models not found */
      404: never;
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * Upload Image
   * @description Uploads an image
   */
  upload_image: {
    parameters: {
      query: {
        /** @description The category of the image */
        image_category: components['schemas']['ImageCategory'];
        /** @description Whether this is an intermediate image */
        is_intermediate: boolean;
        /** @description The board to add this image to, if any */
        board_id?: string;
        /** @description The session ID associated with this upload, if any */
        session_id?: string;
        /** @description Whether to crop the image */
        crop_visible?: boolean;
      };
    };
    requestBody: {
      content: {
        'multipart/form-data': components['schemas']['Body_upload_image'];
      };
    };
    responses: {
      /** @description The image was uploaded successfully */
      201: {
        content: {
          'application/json': components['schemas']['ImageDTO'];
        };
      };
      /** @description Image upload failed */
      415: never;
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * Get Image 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'];
        };
      };
    };
  };
  /**
   * Clear Intermediates
   * @description Clears all intermediates
   */
  clear_intermediates: {
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          'application/json': unknown;
        };
      };
    };
  };
  /**
   * 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']['ImageMetadata'];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * Get Image Full
   * @description Gets a full-resolution image file
   */
  get_image_full: {
    parameters: {
      path: {
        /** @description The name of full-resolution image file to get */
        image_name: string;
      };
    };
    responses: {
      /** @description Return the full-resolution image */
      200: {
        content: {
          'image/png': unknown;
        };
      };
      /** @description Image not found */
      404: never;
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * Get Image Thumbnail
   * @description Gets a thumbnail image file
   */
  get_image_thumbnail: {
    parameters: {
      path: {
        /** @description The name of thumbnail image file to get */
        image_name: string;
      };
    };
    responses: {
      /** @description Return the image thumbnail */
      200: {
        content: {
          'image/webp': unknown;
        };
      };
      /** @description Image not found */
      404: never;
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * Get Image Urls
   * @description Gets an image and thumbnail URL
   */
  get_image_urls: {
    parameters: {
      path: {
        /** @description The name of the image whose URL to get */
        image_name: string;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          'application/json': components['schemas']['ImageUrlsDTO'];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * List 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'];
        /** @description The categories of image to include. */
        categories?: components['schemas']['ImageCategory'][];
        /** @description Whether to list intermediate images. */
        is_intermediate?: boolean;
        /** @description The board id to filter by. Use 'none' to find images without a board. */
        board_id?: string;
        /** @description The page offset */
        offset?: number;
        /** @description The number of images per page */
        limit?: number;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          'application/json': components['schemas']['OffsetPaginatedResults_ImageDTO_'];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /** 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': unknown;
        };
      };
      /** @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': unknown;
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * List Boards
   * @description Gets a list of boards
   */
  list_boards: {
    parameters: {
      query?: {
        /** @description Whether to list all boards */
        all?: boolean;
        /** @description The page offset */
        offset?: number;
        /** @description The number of boards per page */
        limit?: number;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          'application/json':
            | components['schemas']['OffsetPaginatedResults_BoardDTO_']
            | components['schemas']['BoardDTO'][];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * Create Board
   * @description Creates a board
   */
  create_board: {
    parameters: {
      query: {
        /** @description The name of the board to create */
        board_name: string;
      };
    };
    responses: {
      /** @description The board was created successfully */
      201: {
        content: {
          'application/json': components['schemas']['BoardDTO'];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * Get Board
   * @description Gets a board
   */
  get_board: {
    parameters: {
      path: {
        /** @description The id of board to get */
        board_id: string;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          'application/json': components['schemas']['BoardDTO'];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * Delete Board
   * @description Deletes a board
   */
  delete_board: {
    parameters: {
      query?: {
        /** @description Permanently delete all images on the board */
        include_images?: boolean;
      };
      path: {
        /** @description The id of board to delete */
        board_id: string;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          'application/json': components['schemas']['DeleteBoardResult'];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * Update Board
   * @description Updates a board
   */
  update_board: {
    parameters: {
      path: {
        /** @description The id of board to update */
        board_id: string;
      };
    };
    requestBody: {
      content: {
        'application/json': components['schemas']['BoardChanges'];
      };
    };
    responses: {
      /** @description The board was updated successfully */
      201: {
        content: {
          'application/json': components['schemas']['BoardDTO'];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * List All Board Image Names
   * @description Gets a list of images for a board
   */
  list_all_board_image_names: {
    parameters: {
      path: {
        /** @description The id of the board */
        board_id: string;
      };
    };
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          'application/json': string[];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * Add Image To Board
   * @description Creates a board_image
   */
  add_image_to_board: {
    requestBody: {
      content: {
        'application/json': components['schemas']['Body_add_image_to_board'];
      };
    };
    responses: {
      /** @description The image was added to a board successfully */
      201: {
        content: {
          'application/json': unknown;
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * Remove Image From Board
   * @description Removes an image from its board, if it had one
   */
  remove_image_from_board: {
    requestBody: {
      content: {
        'application/json': components['schemas']['Body_remove_image_from_board'];
      };
    };
    responses: {
      /** @description The image was removed from the board successfully */
      201: {
        content: {
          'application/json': unknown;
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * Add Images To Board
   * @description Adds a list of images to a board
   */
  add_images_to_board: {
    requestBody: {
      content: {
        'application/json': components['schemas']['Body_add_images_to_board'];
      };
    };
    responses: {
      /** @description Images were added to board successfully */
      201: {
        content: {
          'application/json': components['schemas']['AddImagesToBoardResult'];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /**
   * Remove Images From Board
   * @description Removes a list of images from their board, if they had one
   */
  remove_images_from_board: {
    requestBody: {
      content: {
        'application/json': components['schemas']['Body_remove_images_from_board'];
      };
    };
    responses: {
      /** @description Images were removed from board successfully */
      201: {
        content: {
          'application/json': components['schemas']['RemoveImagesFromBoardResult'];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
  /** Get Version */
  app_version: {
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          'application/json': components['schemas']['AppVersion'];
        };
      };
    };
  };
  /** Get Config */
  get_config: {
    responses: {
      /** @description Successful Response */
      200: {
        content: {
          'application/json': components['schemas']['AppConfig'];
        };
      };
    };
  };
  /**
   * Get Log Level
   * @description Returns the log level
   */
  get_log_level: {
    responses: {
      /** @description The operation was successful */
      200: {
        content: {
          'application/json': components['schemas']['LogLevel'];
        };
      };
    };
  };
  /**
   * Set Log Level
   * @description Sets the log verbosity level
   */
  set_log_level: {
    requestBody: {
      content: {
        'application/json': components['schemas']['LogLevel'];
      };
    };
    responses: {
      /** @description The operation was successful */
      200: {
        content: {
          'application/json': components['schemas']['LogLevel'];
        };
      };
      /** @description Validation Error */
      422: {
        content: {
          'application/json': components['schemas']['HTTPValidationError'];
        };
      };
    };
  };
};