restore ability to convert merged inpaint .safetensors files

invokeai/backend/model_management/models/base.py

@@ -292,8 +292,9 @@ class DiffusersModel(ModelBase):
                 )
                 break
             except Exception as e:
-                # print("====ERR LOAD====")
+                if not str(e).startswith('Error no file'):
-                # print(f"{variant}: {e}")
+                    print("====ERR LOAD====")
+                    print(f"{variant}: {e}")
                 pass
         else:
             raise Exception(f"Failed to load {self.base_model}:{self.model_type}:{child_type} model")

invokeai/backend/model_management/models/stable_diffusion.py

@@ -4,6 +4,7 @@ from enum import Enum
 from pydantic import Field
 from pathlib import Path
 from typing import Literal, Optional, Union
+from diffusers import StableDiffusionInpaintPipeline, StableDiffusionPipeline
 from .base import (
     ModelConfigBase,
     BaseModelType,
@@ -21,7 +22,6 @@ import invokeai.backend.util.logging as logger
 from invokeai.app.services.config import InvokeAIAppConfig
 from omegaconf import OmegaConf
 
-
 class StableDiffusion1ModelFormat(str, Enum):
     Checkpoint = "checkpoint"
     Diffusers = "diffusers"
@@ -263,6 +263,8 @@ def _convert_ckpt_and_cache(
     weights = app_config.models_path / model_config.path
     config_file = app_config.root_path / model_config.config
     output_path = Path(output_path)
+    variant = model_config.variant
+    pipeline_class = StableDiffusionInpaintPipeline if variant=='inpaint' else StableDiffusionPipeline
 
     # return cached version if it exists
     if output_path.exists():
@@ -289,6 +291,7 @@ def _convert_ckpt_and_cache(
             original_config_file=config_file,
             extract_ema=True,
             scan_needed=True,
+            pipeline_class=pipeline_class,
             from_safetensors=weights.suffix == ".safetensors",
             precision=torch_dtype(choose_torch_device()),
             **kwargs,