Fix SigLipPipeline model size calculation.

Author: RyanJDick

invokeai/backend/model_manager/load/model_util.py

@@ -18,6 +18,7 @@
 from invokeai.backend.model_manager.config import AnyModel
 from invokeai.backend.onnx.onnx_runtime import IAIOnnxRuntimeModel
 from invokeai.backend.patches.model_patch_raw import ModelPatchRaw
+from invokeai.backend.sig_lip.sig_lip_pipeline import SigLipPipeline
 from invokeai.backend.spandrel_image_to_image_model import SpandrelImageToImageModel
 from invokeai.backend.textual_inversion import TextualInversionModelRaw
 from invokeai.backend.util.calc_tensor_size import calc_tensor_size
@@ -48,6 +49,7 @@ def calc_model_size_by_data(logger: logging.Logger, model: AnyModel) -> int:
             GroundingDinoPipeline,
             SegmentAnythingPipeline,
             DepthAnythingPipeline,
+            SigLipPipeline,
         ),
     ):
         return model.calc_size()

invokeai/backend/sig_lip/sig_lip_pipeline.py

@@ -34,3 +34,10 @@ def encode_image(self, x: Image.Image, device: torch.device, dtype: torch.dtype)
         imgs = self._siglip_processor.preprocess(images=[x], do_resize=True, return_tensors="pt", do_convert_rgb=True)
         encoded_x = self._siglip_model(**imgs.to(device=device, dtype=dtype)).last_hidden_state
         return encoded_x
+
+    def calc_size(self) -> int:
+        """Get size of the model in memory in bytes."""
+        # HACK(ryand): Fix this issue with circular imports.
+        from invokeai.backend.model_manager.load.model_util import calc_module_size
+
+        return calc_module_size(self._siglip_model)