fix: allow custom converter dimensions

README.md

@@ -193,8 +193,8 @@ the node name, so if the model already exists, the node will not convert it agai
     - **ckpt_name**: The name of the checkpoint to convert. This should be the name of the checkpoint file stored in the
       `models/checkpoints` directory.
     - **model_version**: Whether the model is based on SD1.5 or SDXL.
-    - **height**: The desired height of the image generated by the model. The default is 512. Must be a multiple of 8.
-    - **width**: The desired width of the image generated by the model. The default is 512. Must be a multiple of 8.
+    - **height**: The desired height of the image generated by the model. The default is 512. Any positive multiple of 8 is accepted.
+    - **width**: The desired width of the image generated by the model. The default is 512. Any positive multiple of 8 is accepted.
     - **batch_size**: The batch size of generated images. If you're planning to generate batches of images, you can try
       increasing this value to speed up the generation process. The default is 1.
     - **attention_implementation**: The attention implementation used when converting the model. Choose SPLIT_EINSUM or

coreml_suite/nodes.py

@@ -225,8 +225,8 @@ class CoreMLConverter(COREML_NODE):
                         ModelVersion.SDXL.name,
                     ],
                 ),
-                "height": ("INT", {"default": 512, "min": 256, "max": 2048, "step": 8}),
-                "width": ("INT", {"default": 512, "min": 256, "max": 2048, "step": 8}),
+                "height": ("INT", {"default": 512, "min": 8, "step": 8}),
+                "width": ("INT", {"default": 512, "min": 8, "step": 8}),
                 "batch_size": ("INT", {"default": 1, "min": 1, "max": 64}),
                 "attention_implementation": (
                     list(ATTENTION_IMPLEMENTATIONS),

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-coremlsuite"
 description = "This extension contains a set of custom nodes for ComfyUI that allow you to use Core ML models in your ComfyUI workflows."
-version = "2.0.1"
+version = "2.0.2"
 license = "MIT"
 requires-python = ">=3.12,<3.13"
 packages = [{ include = "coreml_suite" }]

uv.lock

@@ -206,7 +206,7 @@ wheels = [
 
 [[package]]
 name = "comfyui-coremlsuite"
-version = "2.0.1"
+version = "2.0.2"
 source = { virtual = "." }
 dependencies = [
     { name = "coremltools" },