Bugfix/checkpoint conversion (#4010)

## What type of PR is this? (check all applicable)

- [ ] Refactor
- [ ] Feature
- [x ] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [ ] Community Node Submission


## Have you discussed this change with the InvokeAI team?
- [ ] Yes
- [ x] No, because there was no time!

      
## Have you updated all relevant documentation?
- [ ] Yes
- [X ] No


## Description

Hotfix for issue of SD1 and SD2 legacy safetensors models not converting
in 3.0.1rc1.

invokeai/backend/install/invokeai_configure.py

@@ -767,8 +767,8 @@ def main():
         if migrate_if_needed(opt, config.root_path):
             sys.exit(0)
 
-        if not config.model_conf_path.exists():
-            initialize_rootdir(config.root_path, opt.yes_to_all)
+        # run this unconditionally in case new directories need to be added
+        initialize_rootdir(config.root_path, opt.yes_to_all)
 
         models_to_download = default_user_selections(opt)
         new_init_file = config.root_path / 'invokeai.yaml'

invokeai/backend/model_management/models/stable_diffusion.py

@@ -14,6 +14,7 @@
     read_checkpoint_meta,
     classproperty,
     InvalidModelException,
+    ModelNotFoundException,
 )
 from .sdxl import StableDiffusionXLModel
 import invokeai.backend.util.logging as logger
@@ -268,12 +269,17 @@ def _convert_ckpt_and_cache(
     # to avoid circular import errors
     from ..convert_ckpt_to_diffusers import convert_ckpt_to_diffusers
     from ...util.devices import choose_torch_device, torch_dtype
-
+
+    model_base_to_model_type = {BaseModelType.StableDiffusion1: 'FrozenCLIPEmbedder',
+                                BaseModelType.StableDiffusion2: 'FrozenOpenCLIPEmbedder',
+                                }
+
     logger.info(f'Converting {weights} to diffusers format')
     with SilenceWarnings():        
         convert_ckpt_to_diffusers(
             weights,
             output_path,
+            model_type=model_base_to_model_type[version],
             model_version=version,
             model_variant=model_config.variant,
             original_config_file=config_file,