diff --git a/invokeai/backend/model_management/convert_ckpt_to_diffusers.py b/invokeai/backend/model_management/convert_ckpt_to_diffusers.py index cd4df21a8a..3547fcee7b 100644 --- a/invokeai/backend/model_management/convert_ckpt_to_diffusers.py +++ b/invokeai/backend/model_management/convert_ckpt_to_diffusers.py @@ -1229,15 +1229,15 @@ def load_pipeline_from_original_stable_diffusion_ckpt( # If a replacement VAE path was specified, we'll incorporate that into # the checkpoint model and then convert it if vae_path: - print(f" | Converting VAE {vae_path}") + print(f" | Converting VAE {vae_path}") replace_checkpoint_vae(checkpoint,vae_path) # otherwise we use the original VAE, provided that # an externally loaded diffusers VAE was not passed elif not vae: - print(" | Using checkpoint model's original VAE") + print(" | Using checkpoint model's original VAE") if vae: - print(" | Using replacement diffusers VAE") + print(" | Using replacement diffusers VAE") else: # convert the original or replacement VAE vae_config = create_vae_diffusers_config( original_config, image_size=image_size diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py index cd62ed1adb..2f8380a17d 100644 --- a/invokeai/backend/model_management/model_manager.py +++ b/invokeai/backend/model_management/model_manager.py @@ -434,7 +434,6 @@ class ModelManager(object): height = width print(f" | Default image dimensions = {width} x {height}") - self._add_embeddings_to_model(pipeline) return pipeline, width, height, model_hash def _load_ckpt_model(self, model_name, mconfig): @@ -476,7 +475,6 @@ class ModelManager(object): pipeline.enable_offload_submodels(self.device) else: pipeline.to(self.device) - return ( pipeline, width,