* cleaned up image_convert for grayscale/mask

* updated to cozy_comfyui 0.0.35

README.md

@@ -138,6 +138,10 @@ Nodes that have been migrated:
 
 [Migrated to Jovi_GLSL](https://github.com/Amorano/Jovi_GLSL)
 
+**2025/06/07** @2.1.10:
+* cleaned up image_convert for grayscale/mask
+* updated to cozy_comfyui 0.0.35
+
 **2025/06/06** @2.1.10:
 * updated to comfy_cozy 0.0.34
 * default width and height to 1

core/create.py

@@ -108,13 +108,14 @@ Generate a constant image or mask of a specified size and color. It can be used
                 h, w = pA.shape[:2]
 
             if mask is None:
-                mask = image_mask(pA)
+                mask = image_mask(pA, 255)
             else:
                 mask = tensor_to_cv(mask, chan=1)
-                mask = image_scalefit(mask, w, h)
+                mask = image_scalefit(mask, w, h, matte=(0,0,0,255))
+                mask = image_convert(mask, 1)
 
             pB = channel_solid(w, h, matte)
-            pA = image_blend(pB, pA, mask)
+            pA = image_blend(pB, pA, 255 - mask)
             pA = image_mask_add(pA, mask)
 
             if mode != EnumScaleMode.MATTE:

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "jovimetrix"
 description = "Animation via tick. Parameter manipulation with wave generator. Unary and Binary math support. Value convert int/float/bool, VectorN and Image, Mask types. Shape mask generator. Stack images, do channel ops, split, merge and randomize arrays and batches. Load images & video from anywhere. Dynamic bus routing. Save output anywhere! Flatten, crop, transform; check colorblindness or linear interpolate values."
-version = "2.1.10"
+version = "2.1.11"
 license = { file = "LICENSE" }
 readme = "README.md"
 authors = [{ name = "Alexander G. Morano", email = "amorano@gmail.com" }]