Store CIELab_to_UPLab.icc within the repo

invokeai/app/invocations/composition-nodes.py

@@ -33,6 +33,7 @@ from invokeai.backend.image_util.composition import (
     srgb_from_okhsl,
     srgb_from_okhsv,
     tensor_from_pil_image,
+    CIELAB_TO_UPLAB_ICC_PATH,
 )
 from invokeai.backend.stable_diffusion.diffusers_pipeline import image_resized_to_grid_as_tensor
 from invokeai.invocation_api import (
@@ -120,8 +121,8 @@ class InvokeAdjustImageHuePlusInvocation(BaseInvocation, WithMetadata, WithBoard
         if self.preserve_lightness or (space == "lch") or (space == "uplab"):
             profile_srgb = ImageCms.createProfile("sRGB")
             if space == "uplab":
-                if os.path.isfile("CIELab_to_UPLab.icc"):
-                    profile_uplab = ImageCms.getOpenProfile("CIELab_to_UPLab.icc")
+                with open(CIELAB_TO_UPLAB_ICC_PATH, "rb") as f:
+                    profile_uplab = ImageCms.getOpenProfile(f)
             if profile_uplab is None:
                 profile_lab = ImageCms.createProfile("LAB", colorTemp=6500)
             else:

invokeai/backend/image_util/composition.py

@@ -12,11 +12,13 @@ from typing import Literal, Optional
 
 import torch
 from PIL import Image
+from pathlib import Path
 
 from invokeai.backend.stable_diffusion.diffusers_pipeline import image_resized_to_grid_as_tensor
 
 MAX_FLOAT = torch.finfo(torch.tensor(1.0).dtype).max
 
+CIELAB_TO_UPLAB_ICC_PATH = Path(__file__).parent / "assets" / "CIELab_to_UPLab.icc"
 
 def equivalent_achromatic_lightness(lch_tensor: torch.Tensor):
     """Calculate Equivalent Achromatic Lightness accounting for Helmholtz-Kohlrausch effect"""

pyproject.toml

@@ -164,7 +164,7 @@ version = { attr = "invokeai.version.__version__" }
   "*.png",
 ]
 "invokeai.assets.fonts" = ["**/*.ttf"]
-"invokeai.backend" = ["**.png"]
+"invokeai.backend" = ["**.png", "**.icc"]
 "invokeai.configs" = ["*.example", "**/*.yaml", "*.txt"]
 "invokeai.frontend.web.dist" = ["**"]
 "invokeai.frontend.web.static" = ["**"]