Release 2.3.3 (#3058)

(note that this is actually release candidate 7, but I made the mistake
of including an old rc number in the branch and can't easily change it)

## Updating Root directory

- Introduced new mechanism for updating the root directory when
necessary. Currently only used to update the invoke.sh script using new
dialog colors.
- Fixed ROCm torch module version number

## Loading legacy 2.0/2.1 models
- Due to not converting the torch.dtype precision correctly, the
`load_pipeline_from_original_stable_diffusion_ckpt()` was returning
models of dtype float32 regardless of the precision setting. This caused
a precision mismatch crash.
- Problem now fixed (also see #3057 for the same fix to `main`)

## Support for a fourth textual inversion embedding file format
- This variant, exemplified by "easynegative.safetensors" has a single
'embparam' key containing a Tensor.
- Also refactored code to make it easier to read.
- Handle both pickle and safetensor formats.

## Persistent model selection
- To be consistent with WebUI parameter behavior, the currently selected
model is saved on exit and restored on restart for both WebUI and CLI

## Bug fixes
- Name of VAE cache directory was "hug", not "hub". This is fixed.

## VAE fixes
- Allow custom VAEs to be assigned to a legacy model by placing a
like-named vae file adjacent to the checkpoint file.
- The custom VAE will be picked up and incorporated into the diffusers
model if the user chooses to convert/optimize.

## Custom config file loading
- Some of the civitai models instruct users to place a custom .yaml file
adjacent to the checkpoint file. This generally wasn't working because
some of the .yaml files use FrozenCLIPEmbedder rather than
WeightedFrozenCLIPEmbedder, and our FrozenCLIPEmbedder class doesn't
handle the `personalization_config` section used by the the textual
inversion manager. Other .yaml files don't have the
`personalization_config` section at all. Both these issues are
fixed.#1685

## Consistent pytorch version
- There was an inconsistency between the pytorch version requirement in
`pyproject.toml` and the requirement in the installer (which does a
little jiggery-pokery to load torch with the right CUDA/ROCm version
prior to the main pip install. This was causing torch to be installed,
then uninstalled, and reinstalled with a different version number. This
is now fixed.

installer/lib/installer.py

@@ -242,8 +242,8 @@ class InvokeAiInstance:
         from plumbum import FG, local
 
         # Note that we're installing pinned versions of torch and
-        # torchvision here, which may not correspond to what is
-        # in pyproject.toml. This is a hack to prevent torch 2.0 from
+        # torchvision here, which *should* correspond to what is
+        # in pyproject.toml. This is to prevent torch 2.0 from
         # being installed and immediately uninstalled and replaced with 1.13
         pip = local[self.pip]
 
@@ -252,7 +252,7 @@ class InvokeAiInstance:
                 "install",
                 "--require-virtualenv",
                 "torch~=1.13.1",
-                "torchvision>=0.14.1",
+                "torchvision~=0.14.1",
                 "--force-reinstall",
                 "--find-links" if find_links is not None else None,
                 find_links,

ldm/invoke/_version.py

@@ -1,2 +1,2 @@
 
-__version__='2.3.3rc7'
+__version__='2.3.3'

ldm/invoke/config/invokeai_update.py

@@ -78,7 +78,7 @@ def main():
     elif choice=='4':
         branch = Prompt.ask('Enter an InvokeAI branch name')
 
-    print(f':crossed_fingers: Upgrading to [yellow]{tag}[/yellow]')
+    print(f':crossed_fingers: Upgrading to [yellow]{tag if tag else release}[/yellow]')
     if release:
         cmd = f'pip install {INVOKE_AI_SRC}/{release}.zip --use-pep517 --upgrade'
     elif tag:

ldm/modules/encoders/modules.py

@@ -464,7 +464,6 @@ class FrozenCLIPEmbedder(AbstractEncoder):
         return self(text, **kwargs)
 
     def set_textual_inversion_manager(self, manager): #TextualInversionManager):
-        # TODO all of the weighting and expanding stuff needs be moved out of this class
         self.textual_inversion_manager = manager
 
     @property