diff --git a/invokeai/app/invocations/flux_control_lora_loader.py b/invokeai/app/invocations/flux_control_lora_loader.py
index ba3addbdca0..f24ad6bf6a7 100644
--- a/invokeai/app/invocations/flux_control_lora_loader.py
+++ b/invokeai/app/invocations/flux_control_lora_loader.py
@@ -1,7 +1,6 @@
 from invokeai.app.invocations.baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
-    Classification,
     invocation,
     invocation_output,
 )
@@ -25,7 +24,6 @@ class FluxControlLoRALoaderOutput(BaseInvocationOutput):
     tags=["lora", "model", "flux"],
     category="model",
     version="1.1.1",
-    classification=Classification.Prototype,
 )
 class FluxControlLoRALoaderInvocation(BaseInvocation):
     """LoRA model and Image to use with FLUX transformer generation."""
diff --git a/invokeai/app/invocations/flux_controlnet.py b/invokeai/app/invocations/flux_controlnet.py
index 41b66975a75..230ef912f46 100644
--- a/invokeai/app/invocations/flux_controlnet.py
+++ b/invokeai/app/invocations/flux_controlnet.py
@@ -3,7 +3,6 @@
 from invokeai.app.invocations.baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
-    Classification,
     invocation,
     invocation_output,
 )
@@ -52,7 +51,6 @@ class FluxControlNetOutput(BaseInvocationOutput):
     tags=["controlnet", "flux"],
     category="controlnet",
     version="1.0.0",
-    classification=Classification.Prototype,
 )
 class FluxControlNetInvocation(BaseInvocation):
     """Collect FLUX ControlNet info to pass to other nodes."""
diff --git a/invokeai/app/invocations/flux_denoise.py b/invokeai/app/invocations/flux_denoise.py
index fb063acbc70..4e35d6d3311 100644
--- a/invokeai/app/invocations/flux_denoise.py
+++ b/invokeai/app/invocations/flux_denoise.py
@@ -10,7 +10,7 @@
 from torchvision.transforms.functional import resize as tv_resize
 from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection
 
-from invokeai.app.invocations.baseinvocation import BaseInvocation, Classification, invocation
+from invokeai.app.invocations.baseinvocation import BaseInvocation, invocation
 from invokeai.app.invocations.fields import (
     DenoiseMaskField,
     FieldDescriptions,
@@ -64,7 +64,6 @@
     tags=["image", "flux"],
     category="image",
     version="3.3.0",
-    classification=Classification.Prototype,
 )
 class FluxDenoiseInvocation(BaseInvocation, WithMetadata, WithBoard):
     """Run denoising process with a FLUX transformer model."""
diff --git a/invokeai/app/invocations/flux_fill.py b/invokeai/app/invocations/flux_fill.py
index 2602c7cf079..cff8f2b1e52 100644
--- a/invokeai/app/invocations/flux_fill.py
+++ b/invokeai/app/invocations/flux_fill.py
@@ -31,7 +31,7 @@ class FluxFillOutput(BaseInvocationOutput):
     tags=["inpaint"],
     category="inpaint",
     version="1.0.0",
-    classification=Classification.Prototype,
+    classification=Classification.Beta,
 )
 class FluxFillInvocation(BaseInvocation):
     """Prepare the FLUX Fill conditioning data."""
diff --git a/invokeai/app/invocations/flux_ip_adapter.py b/invokeai/app/invocations/flux_ip_adapter.py
index 9653f859ad0..fd8fc2118ee 100644
--- a/invokeai/app/invocations/flux_ip_adapter.py
+++ b/invokeai/app/invocations/flux_ip_adapter.py
@@ -4,7 +4,7 @@
 from pydantic import field_validator, model_validator
 from typing_extensions import Self
 
-from invokeai.app.invocations.baseinvocation import BaseInvocation, Classification, invocation
+from invokeai.app.invocations.baseinvocation import BaseInvocation, invocation
 from invokeai.app.invocations.fields import InputField, UIType
 from invokeai.app.invocations.ip_adapter import (
     CLIP_VISION_MODEL_MAP,
@@ -28,7 +28,6 @@
     tags=["ip_adapter", "control"],
     category="ip_adapter",
     version="1.0.0",
-    classification=Classification.Prototype,
 )
 class FluxIPAdapterInvocation(BaseInvocation):
     """Collects FLUX IP-Adapter info to pass to other nodes."""
diff --git a/invokeai/app/invocations/flux_lora_loader.py b/invokeai/app/invocations/flux_lora_loader.py
index 7c155ddbd4c..ae7c3657071 100644
--- a/invokeai/app/invocations/flux_lora_loader.py
+++ b/invokeai/app/invocations/flux_lora_loader.py
@@ -3,7 +3,6 @@
 from invokeai.app.invocations.baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
-    Classification,
     invocation,
     invocation_output,
 )
@@ -32,7 +31,6 @@ class FluxLoRALoaderOutput(BaseInvocationOutput):
     tags=["lora", "model", "flux"],
     category="model",
     version="1.2.1",
-    classification=Classification.Prototype,
 )
 class FluxLoRALoaderInvocation(BaseInvocation):
     """Apply a LoRA model to a FLUX transformer and/or text encoder."""
@@ -111,7 +109,6 @@ def invoke(self, context: InvocationContext) -> FluxLoRALoaderOutput:
     tags=["lora", "model", "flux"],
     category="model",
     version="1.3.1",
-    classification=Classification.Prototype,
 )
 class FLUXLoRACollectionLoader(BaseInvocation):
     """Applies a collection of LoRAs to a FLUX transformer."""
diff --git a/invokeai/app/invocations/flux_model_loader.py b/invokeai/app/invocations/flux_model_loader.py
index 6803f0edc34..a0c26829adc 100644
--- a/invokeai/app/invocations/flux_model_loader.py
+++ b/invokeai/app/invocations/flux_model_loader.py
@@ -3,7 +3,6 @@
 from invokeai.app.invocations.baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
-    Classification,
     invocation,
     invocation_output,
 )
@@ -41,7 +40,6 @@ class FluxModelLoaderOutput(BaseInvocationOutput):
     tags=["model", "flux"],
     category="model",
     version="1.0.6",
-    classification=Classification.Prototype,
 )
 class FluxModelLoaderInvocation(BaseInvocation):
     """Loads a flux base model, outputting its submodels."""
diff --git a/invokeai/app/invocations/flux_redux.py b/invokeai/app/invocations/flux_redux.py
index e055d94f8db..4d6a532bea4 100644
--- a/invokeai/app/invocations/flux_redux.py
+++ b/invokeai/app/invocations/flux_redux.py
@@ -45,7 +45,7 @@ class FluxReduxOutput(BaseInvocationOutput):
     tags=["ip_adapter", "control"],
     category="ip_adapter",
     version="2.0.0",
-    classification=Classification.Prototype,
+    classification=Classification.Beta,
 )
 class FluxReduxInvocation(BaseInvocation):
     """Runs a FLUX Redux model to generate a conditioning tensor."""
diff --git a/invokeai/app/invocations/flux_text_encoder.py b/invokeai/app/invocations/flux_text_encoder.py
index aab40ed85b5..9131f06ea35 100644
--- a/invokeai/app/invocations/flux_text_encoder.py
+++ b/invokeai/app/invocations/flux_text_encoder.py
@@ -4,7 +4,7 @@
 import torch
 from transformers import CLIPTextModel, CLIPTokenizer, T5EncoderModel, T5Tokenizer, T5TokenizerFast
 
-from invokeai.app.invocations.baseinvocation import BaseInvocation, Classification, invocation
+from invokeai.app.invocations.baseinvocation import BaseInvocation, invocation
 from invokeai.app.invocations.fields import (
     FieldDescriptions,
     FluxConditioningField,
@@ -30,7 +30,6 @@
     tags=["prompt", "conditioning", "flux"],
     category="conditioning",
     version="1.1.2",
-    classification=Classification.Prototype,
 )
 class FluxTextEncoderInvocation(BaseInvocation):
     """Encodes and preps a prompt for a flux image."""
diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py
index 2324b979853..ea6069bd7a9 100644
--- a/invokeai/app/invocations/image.py
+++ b/invokeai/app/invocations/image.py
@@ -355,7 +355,6 @@ def invoke(self, context: InvocationContext) -> ImageOutput:
     tags=["image", "unsharp_mask"],
     category="image",
     version="1.2.2",
-    classification=Classification.Beta,
 )
 class UnsharpMaskInvocation(BaseInvocation, WithMetadata, WithBoard):
     """Applies an unsharp mask filter to an image"""
@@ -1265,7 +1264,6 @@ def invoke(self, context: InvocationContext) -> ImageOutput:
     category="image",
     version="1.0.0",
     tags=["image", "crop"],
-    classification=Classification.Beta,
 )
 class CropImageToBoundingBoxInvocation(BaseInvocation, WithMetadata, WithBoard):
     """Crop an image to the given bounding box. If the bounding box is omitted, the image is cropped to the non-transparent pixels."""
@@ -1292,7 +1290,6 @@ def invoke(self, context: InvocationContext) -> ImageOutput:
     category="image",
     version="1.0.0",
     tags=["image", "crop"],
-    classification=Classification.Beta,
 )
 class PasteImageIntoBoundingBoxInvocation(BaseInvocation, WithMetadata, WithBoard):
     """Paste the source image into the target image at the given bounding box.
diff --git a/invokeai/app/invocations/llava_onevision_vllm.py b/invokeai/app/invocations/llava_onevision_vllm.py
index af5ee6762ba..dca568d73a0 100644
--- a/invokeai/app/invocations/llava_onevision_vllm.py
+++ b/invokeai/app/invocations/llava_onevision_vllm.py
@@ -4,7 +4,7 @@
 from PIL.Image import Image
 from pydantic import field_validator
 
-from invokeai.app.invocations.baseinvocation import BaseInvocation, invocation
+from invokeai.app.invocations.baseinvocation import BaseInvocation, Classification, invocation
 from invokeai.app.invocations.fields import FieldDescriptions, ImageField, InputField, UIComponent, UIType
 from invokeai.app.invocations.model import ModelIdentifierField
 from invokeai.app.invocations.primitives import StringOutput
@@ -13,7 +13,14 @@
 from invokeai.backend.util.devices import TorchDevice
 
 
-@invocation("llava_onevision_vllm", title="LLaVA OneVision VLLM", tags=["vllm"], category="vllm", version="1.0.0")
+@invocation(
+    "llava_onevision_vllm",
+    title="LLaVA OneVision VLLM",
+    tags=["vllm"],
+    category="vllm",
+    version="1.0.0",
+    classification=Classification.Beta,
+)
 class LlavaOnevisionVllmInvocation(BaseInvocation):
     """Run a LLaVA OneVision VLLM model."""
 
diff --git a/invokeai/app/invocations/mask.py b/invokeai/app/invocations/mask.py
index c3456cdf189..556ab8801d8 100644
--- a/invokeai/app/invocations/mask.py
+++ b/invokeai/app/invocations/mask.py
@@ -4,7 +4,6 @@
 
 from invokeai.app.invocations.baseinvocation import (
     BaseInvocation,
-    Classification,
     InvocationContext,
     invocation,
 )
@@ -58,7 +57,6 @@ def invoke(self, context: InvocationContext) -> MaskOutput:
     tags=["conditioning"],
     category="conditioning",
     version="1.0.0",
-    classification=Classification.Beta,
 )
 class AlphaMaskToTensorInvocation(BaseInvocation):
     """Convert a mask image to a tensor. Opaque regions are 1 and transparent regions are 0."""
@@ -87,7 +85,6 @@ def invoke(self, context: InvocationContext) -> MaskOutput:
     tags=["conditioning"],
     category="conditioning",
     version="1.1.0",
-    classification=Classification.Beta,
 )
 class InvertTensorMaskInvocation(BaseInvocation):
     """Inverts a tensor mask."""
@@ -234,7 +231,6 @@ def invoke(self, context: InvocationContext) -> ImageOutput:
     tags=["mask"],
     category="mask",
     version="1.0.0",
-    classification=Classification.Beta,
 )
 class GetMaskBoundingBoxInvocation(BaseInvocation):
     """Gets the bounding box of the given mask image."""
diff --git a/invokeai/app/invocations/model.py b/invokeai/app/invocations/model.py
index 5a58bc18a8d..9a51da769fa 100644
--- a/invokeai/app/invocations/model.py
+++ b/invokeai/app/invocations/model.py
@@ -6,7 +6,6 @@
 from invokeai.app.invocations.baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
-    Classification,
     invocation,
     invocation_output,
 )
@@ -124,7 +123,6 @@ class ModelIdentifierOutput(BaseInvocationOutput):
     tags=["model"],
     category="model",
     version="1.0.1",
-    classification=Classification.Prototype,
 )
 class ModelIdentifierInvocation(BaseInvocation):
     """Selects any model, outputting it its identifier. Be careful with this one! The identifier will be accepted as
diff --git a/invokeai/app/invocations/sd3_denoise.py b/invokeai/app/invocations/sd3_denoise.py
index ea7c5f39d1d..51899013f4d 100644
--- a/invokeai/app/invocations/sd3_denoise.py
+++ b/invokeai/app/invocations/sd3_denoise.py
@@ -6,7 +6,7 @@
 from torchvision.transforms.functional import resize as tv_resize
 from tqdm import tqdm
 
-from invokeai.app.invocations.baseinvocation import BaseInvocation, Classification, invocation
+from invokeai.app.invocations.baseinvocation import BaseInvocation, invocation
 from invokeai.app.invocations.constants import LATENT_SCALE_FACTOR
 from invokeai.app.invocations.fields import (
     DenoiseMaskField,
@@ -36,7 +36,6 @@
     tags=["image", "sd3"],
     category="image",
     version="1.1.1",
-    classification=Classification.Prototype,
 )
 class SD3DenoiseInvocation(BaseInvocation, WithMetadata, WithBoard):
     """Run denoising process with a SD3 model."""
diff --git a/invokeai/app/invocations/sd3_image_to_latents.py b/invokeai/app/invocations/sd3_image_to_latents.py
index db1ace24e23..fc88e85aa56 100644
--- a/invokeai/app/invocations/sd3_image_to_latents.py
+++ b/invokeai/app/invocations/sd3_image_to_latents.py
@@ -2,7 +2,7 @@
 import torch
 from diffusers.models.autoencoders.autoencoder_kl import AutoencoderKL
 
-from invokeai.app.invocations.baseinvocation import BaseInvocation, Classification, invocation
+from invokeai.app.invocations.baseinvocation import BaseInvocation, invocation
 from invokeai.app.invocations.fields import (
     FieldDescriptions,
     ImageField,
@@ -25,7 +25,6 @@
     tags=["image", "latents", "vae", "i2l", "sd3"],
     category="image",
     version="1.0.1",
-    classification=Classification.Prototype,
 )
 class SD3ImageToLatentsInvocation(BaseInvocation, WithMetadata, WithBoard):
     """Generates latents from an image."""
diff --git a/invokeai/app/invocations/sd3_model_loader.py b/invokeai/app/invocations/sd3_model_loader.py
index 7bc31e7aece..c7e2f397f6f 100644
--- a/invokeai/app/invocations/sd3_model_loader.py
+++ b/invokeai/app/invocations/sd3_model_loader.py
@@ -3,7 +3,6 @@
 from invokeai.app.invocations.baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
-    Classification,
     invocation,
     invocation_output,
 )
@@ -34,7 +33,6 @@ class Sd3ModelLoaderOutput(BaseInvocationOutput):
     tags=["model", "sd3"],
     category="model",
     version="1.0.1",
-    classification=Classification.Prototype,
 )
 class Sd3ModelLoaderInvocation(BaseInvocation):
     """Loads a SD3 base model, outputting its submodels."""
diff --git a/invokeai/app/invocations/sd3_text_encoder.py b/invokeai/app/invocations/sd3_text_encoder.py
index 2cdd16b2b45..230fdf0f602 100644
--- a/invokeai/app/invocations/sd3_text_encoder.py
+++ b/invokeai/app/invocations/sd3_text_encoder.py
@@ -11,7 +11,7 @@
     T5TokenizerFast,
 )
 
-from invokeai.app.invocations.baseinvocation import BaseInvocation, Classification, invocation
+from invokeai.app.invocations.baseinvocation import BaseInvocation, invocation
 from invokeai.app.invocations.fields import FieldDescriptions, Input, InputField
 from invokeai.app.invocations.model import CLIPField, T5EncoderField
 from invokeai.app.invocations.primitives import SD3ConditioningOutput
@@ -33,7 +33,6 @@
     tags=["prompt", "conditioning", "sd3"],
     category="conditioning",
     version="1.0.1",
-    classification=Classification.Prototype,
 )
 class Sd3TextEncoderInvocation(BaseInvocation):
     """Encodes and preps a prompt for a SD3 image."""
diff --git a/invokeai/app/invocations/tiled_multi_diffusion_denoise_latents.py b/invokeai/app/invocations/tiled_multi_diffusion_denoise_latents.py
index ee2084bb8f8..cf0a1dbf8ed 100644
--- a/invokeai/app/invocations/tiled_multi_diffusion_denoise_latents.py
+++ b/invokeai/app/invocations/tiled_multi_diffusion_denoise_latents.py
@@ -7,7 +7,7 @@
 from diffusers.schedulers.scheduling_utils import SchedulerMixin
 from pydantic import field_validator
 
-from invokeai.app.invocations.baseinvocation import BaseInvocation, Classification, invocation
+from invokeai.app.invocations.baseinvocation import BaseInvocation, invocation
 from invokeai.app.invocations.constants import LATENT_SCALE_FACTOR
 from invokeai.app.invocations.controlnet_image_processors import ControlField
 from invokeai.app.invocations.denoise_latents import DenoiseLatentsInvocation, get_scheduler
@@ -56,7 +56,6 @@ def crop_controlnet_data(control_data: ControlNetData, latent_region: TBLR) -> C
     title="Tiled Multi-Diffusion Denoise - SD1.5, SDXL",
     tags=["upscale", "denoise"],
     category="latents",
-    classification=Classification.Beta,
     version="1.0.1",
 )
 class TiledMultiDiffusionDenoiseLatents(BaseInvocation):
diff --git a/invokeai/app/invocations/tiles.py b/invokeai/app/invocations/tiles.py
index a54001a0a79..a631f3ba4ec 100644
--- a/invokeai/app/invocations/tiles.py
+++ b/invokeai/app/invocations/tiles.py
@@ -7,7 +7,6 @@
 from invokeai.app.invocations.baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
-    Classification,
     invocation,
     invocation_output,
 )
@@ -40,7 +39,6 @@ class CalculateImageTilesOutput(BaseInvocationOutput):
     tags=["tiles"],
     category="tiles",
     version="1.0.1",
-    classification=Classification.Beta,
 )
 class CalculateImageTilesInvocation(BaseInvocation):
     """Calculate the coordinates and overlaps of tiles that cover a target image shape."""
@@ -74,7 +72,6 @@ def invoke(self, context: InvocationContext) -> CalculateImageTilesOutput:
     tags=["tiles"],
     category="tiles",
     version="1.1.1",
-    classification=Classification.Beta,
 )
 class CalculateImageTilesEvenSplitInvocation(BaseInvocation):
     """Calculate the coordinates and overlaps of tiles that cover a target image shape."""
@@ -117,7 +114,6 @@ def invoke(self, context: InvocationContext) -> CalculateImageTilesOutput:
     tags=["tiles"],
     category="tiles",
     version="1.0.1",
-    classification=Classification.Beta,
 )
 class CalculateImageTilesMinimumOverlapInvocation(BaseInvocation):
     """Calculate the coordinates and overlaps of tiles that cover a target image shape."""
@@ -168,7 +164,6 @@ class TileToPropertiesOutput(BaseInvocationOutput):
     tags=["tiles"],
     category="tiles",
     version="1.0.1",
-    classification=Classification.Beta,
 )
 class TileToPropertiesInvocation(BaseInvocation):
     """Split a Tile into its individual properties."""
@@ -201,7 +196,6 @@ class PairTileImageOutput(BaseInvocationOutput):
     tags=["tiles"],
     category="tiles",
     version="1.0.1",
-    classification=Classification.Beta,
 )
 class PairTileImageInvocation(BaseInvocation):
     """Pair an image with its tile properties."""
@@ -230,7 +224,6 @@ def invoke(self, context: InvocationContext) -> PairTileImageOutput:
     tags=["tiles"],
     category="tiles",
     version="1.1.1",
-    classification=Classification.Beta,
 )
 class MergeTilesToImageInvocation(BaseInvocation, WithMetadata, WithBoard):
     """Merge multiple tile images into a single image."""
diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json
index 34199560fe9..9005b80e940 100644
--- a/invokeai/frontend/web/public/locales/en.json
+++ b/invokeai/frontend/web/public/locales/en.json
@@ -2344,8 +2344,9 @@
     "whatsNew": {
         "whatsNewInInvoke": "What's New in Invoke",
         "items": [
-            "Workflows: New and improved Workflow Library.",
-            "FLUX: Support for FLUX Redux & FLUX Fill in Workflows and Canvas."
+            "Workflows: Support for custom string drop-downs in Workflow Builder.",
+            "FLUX: Support for FLUX Fill in Workflows and Canvas.",
+            "LLaVA OneVision VLLM: Beta support in Workflows."
         ],
         "readReleaseNotes": "Read Release Notes",
         "watchRecentReleaseVideos": "Watch Recent Release Videos",
diff --git a/invokeai/version/invokeai_version.py b/invokeai/version/invokeai_version.py
index d208345c306..b6a1a593e4b 100644
--- a/invokeai/version/invokeai_version.py
+++ b/invokeai/version/invokeai_version.py
@@ -1 +1 @@
-__version__ = "5.9.0rc2"
+__version__ = "5.9.0"