diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 4ad63f4f89..3d1439f7db 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -3,7 +3,7 @@ import inspect
 import math
 from contextlib import ExitStack
 from functools import singledispatchmethod
-from typing import Any, Iterator, List, Literal, Optional, Tuple, Union
+from typing import Any, Dict, Iterator, List, Literal, Optional, Tuple, Union
 
 import einops
 import numpy as np
@@ -11,7 +11,6 @@ import numpy.typing as npt
 import torch
 import torchvision
 import torchvision.transforms as T
-from diffusers import AutoencoderKL, AutoencoderTiny
 from diffusers.configuration_utils import ConfigMixin
 from diffusers.image_processor import VaeImageProcessor
 from diffusers.models.adapter import T2IAdapter
@@ -21,9 +20,12 @@ from diffusers.models.attention_processor import (
     LoRAXFormersAttnProcessor,
     XFormersAttnProcessor,
 )
+from diffusers.models.autoencoders.autoencoder_kl import AutoencoderKL
+from diffusers.models.autoencoders.autoencoder_tiny import AutoencoderTiny
 from diffusers.models.unets.unet_2d_condition import UNet2DConditionModel
-from diffusers.schedulers import DPMSolverSDEScheduler
-from diffusers.schedulers import SchedulerMixin as Scheduler
+from diffusers.schedulers.scheduling_dpmsolver_sde import DPMSolverSDEScheduler
+from diffusers.schedulers.scheduling_tcd import TCDScheduler
+from diffusers.schedulers.scheduling_utils import SchedulerMixin as Scheduler
 from PIL import Image, ImageFilter
 from pydantic import field_validator
 from torchvision.transforms.functional import resize as tv_resize
@@ -521,9 +523,10 @@ class DenoiseLatentsInvocation(BaseInvocation):
             )
 
         if is_sdxl:
-            return SDXLConditioningInfo(
-                embeds=text_embedding, pooled_embeds=pooled_embedding, add_time_ids=add_time_ids
-            ), regions
+            return (
+                SDXLConditioningInfo(embeds=text_embedding, pooled_embeds=pooled_embedding, add_time_ids=add_time_ids),
+                regions,
+            )
         return BasicConditioningInfo(embeds=text_embedding), regions
 
     def get_conditioning_data(
@@ -825,7 +828,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
         denoising_start: float,
         denoising_end: float,
         seed: int,
-    ) -> Tuple[int, List[int], int]:
+    ) -> Tuple[int, List[int], int, Dict[str, Any]]:
         assert isinstance(scheduler, ConfigMixin)
         if scheduler.config.get("cpu_only", False):
             scheduler.set_timesteps(steps, device="cpu")
@@ -853,13 +856,15 @@ class DenoiseLatentsInvocation(BaseInvocation):
         timesteps = timesteps[t_start_idx : t_start_idx + t_end_idx]
         num_inference_steps = len(timesteps) // scheduler.order
 
-        scheduler_step_kwargs = {}
+        scheduler_step_kwargs: Dict[str, Any] = {}
         scheduler_step_signature = inspect.signature(scheduler.step)
         if "generator" in scheduler_step_signature.parameters:
             # At some point, someone decided that schedulers that accept a generator should use the original seed with
             # all bits flipped. I don't know the original rationale for this, but now we must keep it like this for
             # reproducibility.
-            scheduler_step_kwargs = {"generator": torch.Generator(device=device).manual_seed(seed ^ 0xFFFFFFFF)}
+            scheduler_step_kwargs.update({"generator": torch.Generator(device=device).manual_seed(seed ^ 0xFFFFFFFF)})
+        if isinstance(scheduler, TCDScheduler):
+            scheduler_step_kwargs.update({"eta": 1.0})
 
         return num_inference_steps, timesteps, init_timestep, scheduler_step_kwargs
 
diff --git a/invokeai/backend/stable_diffusion/schedulers/schedulers.py b/invokeai/backend/stable_diffusion/schedulers/schedulers.py
index c824d94dca..3a55d52d4a 100644
--- a/invokeai/backend/stable_diffusion/schedulers/schedulers.py
+++ b/invokeai/backend/stable_diffusion/schedulers/schedulers.py
@@ -13,6 +13,7 @@ from diffusers import (
     LCMScheduler,
     LMSDiscreteScheduler,
     PNDMScheduler,
+    TCDScheduler,
     UniPCMultistepScheduler,
 )
 
@@ -40,4 +41,5 @@ SCHEDULER_MAP = {
     "dpmpp_sde_k": (DPMSolverSDEScheduler, {"use_karras_sigmas": True, "noise_sampler_seed": 0}),
     "unipc": (UniPCMultistepScheduler, {"cpu_only": True}),
     "lcm": (LCMScheduler, {}),
+    "tcd": (TCDScheduler, {}),
 }
diff --git a/invokeai/frontend/web/src/features/nodes/types/common.ts b/invokeai/frontend/web/src/features/nodes/types/common.ts
index e570054258..ca44259995 100644
--- a/invokeai/frontend/web/src/features/nodes/types/common.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/common.ts
@@ -49,6 +49,7 @@ export const zSchedulerField = z.enum([
   'euler_a',
   'kdpm_2_a',
   'lcm',
+  'tcd',
 ]);
 export type SchedulerField = z.infer<typeof zSchedulerField>;
 // #endregion
diff --git a/invokeai/frontend/web/src/features/parameters/types/constants.ts b/invokeai/frontend/web/src/features/parameters/types/constants.ts
index 5bdfe9937b..6d7b4f9248 100644
--- a/invokeai/frontend/web/src/features/parameters/types/constants.ts
+++ b/invokeai/frontend/web/src/features/parameters/types/constants.ts
@@ -75,4 +75,5 @@ export const SCHEDULER_OPTIONS: ComboboxOption[] = [
   { value: 'euler_a', label: 'Euler Ancestral' },
   { value: 'kdpm_2_a', label: 'KDPM 2 Ancestral' },
   { value: 'lcm', label: 'LCM' },
+  { value: 'tcd', label: 'TCD' },
 ].sort((a, b) => a.label.localeCompare(b.label));
diff --git a/invokeai/frontend/web/src/services/api/schema.ts b/invokeai/frontend/web/src/services/api/schema.ts
index 727fad6f81..27a3c670da 100644
--- a/invokeai/frontend/web/src/services/api/schema.ts
+++ b/invokeai/frontend/web/src/services/api/schema.ts
@@ -2883,6 +2883,11 @@ export type components = {
        * @description OPTIONAL: Only connect for specialized Inpainting models, masked_latents will be generated from the image with the VAE
        */
       image?: components["schemas"]["ImageField"] | null;
+      /**
+       * [OPTIONAL] UNet
+       * @description OPTIONAL: If the Unet is a specialized Inpainting model, masked_latents will be generated from the image with the VAE
+       */
+      unet?: components["schemas"]["UNetField"] | null;
       /**
        * [OPTIONAL] VAE
        * @description OPTIONAL: Only connect for specialized Inpainting models, masked_latents will be generated from the image with the VAE
@@ -3157,7 +3162,7 @@ export type components = {
        * @default euler
        * @enum {string}
        */
-      scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc" | "lcm";
+      scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc" | "lcm" | "tcd";
       /**
        * UNet
        * @description UNet (scheduler, LoRAs)
@@ -4184,7 +4189,7 @@ export type components = {
        * @description The nodes in this graph
        */
       nodes: {
-        [key: string]: components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["CropLatentsCoreInvocation"] | components["schemas"]["FaceOffInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["MetadataItemInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["MergeMetadataInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["DepthAnythingImageProcessorInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["MergeTilesToImageInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["BooleanInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["PairTileImageInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["CreateGradientMaskInvocation"] | components["schemas"]["IdealSizeInvocation"] | components["schemas"]["ImageMaskToTensorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["MetadataInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["SDXLLoRALoaderInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["CalculateImageTilesEvenSplitInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"] | components["schemas"]["CenterPadCropInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["UnsharpMaskInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["MaskFromIDInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["LoRALoaderInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["RectangleMaskInvocation"] | components["schemas"]["CanvasPasteBackInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CoreMetadataInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["TileToPropertiesInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["FreeUInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CLIPSkipInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["VAELoaderInvocation"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["CalculateImageTilesMinimumOverlapInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["CalculateImageTilesInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["AlphaMaskToTensorInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["DWOpenposeImageProcessorInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["InvertTensorMaskInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"];
+        [key: string]: components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["PairTileImageInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["SDXLLoRALoaderInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["CreateGradientMaskInvocation"] | components["schemas"]["MetadataInvocation"] | components["schemas"]["IdealSizeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["TileToPropertiesInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["MaskFromIDInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["MetadataItemInvocation"] | components["schemas"]["VAELoaderInvocation"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["HeuristicResizeInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["RectangleMaskInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["CalculateImageTilesInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["LoRALoaderInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["DWOpenposeImageProcessorInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["UnsharpMaskInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["MergeMetadataInvocation"] | components["schemas"]["CalculateImageTilesMinimumOverlapInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["InvertTensorMaskInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["CalculateImageTilesEvenSplitInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["CoreMetadataInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["MergeTilesToImageInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["AlphaMaskToTensorInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["CLIPSkipInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["CanvasPasteBackInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["BooleanInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["FaceOffInvocation"] | components["schemas"]["FreeUInvocation"] | components["schemas"]["CenterPadCropInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["ImageMaskToTensorInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["DepthAnythingImageProcessorInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["CropLatentsCoreInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["NoiseInvocation"];
       };
       /**
        * Edges
@@ -4221,7 +4226,7 @@ export type components = {
        * @description The results of node executions
        */
       results: {
-        [key: string]: components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["FaceOffOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["String2Output"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["T2IAdapterOutput"] | components["schemas"]["GradientMaskOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["BooleanOutput"] | components["schemas"]["CalculateImageTilesOutput"] | components["schemas"]["MaskOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["PairTileImageOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["CollectInvocationOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["IPAdapterOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["IdealSizeOutput"] | components["schemas"]["SDXLLoRALoaderOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["MetadataItemOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["FaceMaskOutput"] | components["schemas"]["VAEOutput"] | components["schemas"]["StringPosNegOutput"] | components["schemas"]["CLIPOutput"] | components["schemas"]["TileToPropertiesOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["MetadataOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["UNetOutput"] | components["schemas"]["CLIPSkipInvocationOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["LoRALoaderOutput"];
+        [key: string]: components["schemas"]["ImageOutput"] | components["schemas"]["IPAdapterOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["MetadataItemOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["MaskOutput"] | components["schemas"]["IdealSizeOutput"] | components["schemas"]["FaceMaskOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["String2Output"] | components["schemas"]["CalculateImageTilesOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["CollectInvocationOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["TileToPropertiesOutput"] | components["schemas"]["VAEOutput"] | components["schemas"]["GradientMaskOutput"] | components["schemas"]["SDXLLoRALoaderOutput"] | components["schemas"]["UNetOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["LoRALoaderOutput"] | components["schemas"]["BooleanOutput"] | components["schemas"]["StringPosNegOutput"] | components["schemas"]["MetadataOutput"] | components["schemas"]["FaceOffOutput"] | components["schemas"]["T2IAdapterOutput"] | components["schemas"]["PairTileImageOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["CLIPSkipInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["CLIPOutput"];
       };
       /**
        * Errors
@@ -4325,6 +4330,49 @@ export type components = {
        */
       type: "hed_image_processor";
     };
+    /**
+     * Heuristic Resize
+     * @description Resize an image using a heuristic method. Preserves edge maps.
+     */
+    HeuristicResizeInvocation: {
+      /**
+       * Id
+       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
+       */
+      id: string;
+      /**
+       * Is Intermediate
+       * @description Whether or not this is an intermediate invocation.
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
+      /** @description The image to resize */
+      image?: components["schemas"]["ImageField"];
+      /**
+       * Width
+       * @description The width to resize to (px)
+       * @default 512
+       */
+      width?: number;
+      /**
+       * Height
+       * @description The height to resize to (px)
+       * @default 512
+       */
+      height?: number;
+      /**
+       * type
+       * @default heuristic_resize
+       * @constant
+       */
+      type: "heuristic_resize";
+    };
     /**
      * HuggingFaceMetadata
      * @description Extended metadata fields provided by HuggingFace.
@@ -7040,7 +7088,7 @@ export type components = {
        * Scheduler
        * @description Default scheduler for this model
        */
-      scheduler?: ("ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc" | "lcm") | null;
+      scheduler?: ("ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc" | "lcm" | "tcd") | null;
       /**
        * Steps
        * @description Default number of steps for this model
@@ -9235,7 +9283,7 @@ export type components = {
        * @default euler
        * @enum {string}
        */
-      scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc" | "lcm";
+      scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc" | "lcm" | "tcd";
       /**
        * type
        * @default scheduler
@@ -9250,7 +9298,7 @@ export type components = {
        * @description Scheduler to use during inference
        * @enum {string}
        */
-      scheduler: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc" | "lcm";
+      scheduler: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc" | "lcm" | "tcd";
       /**
        * type
        * @default scheduler_output