diff --git a/modules/processing_diffusers.py b/modules/processing_diffusers.py
index f761f07a4..051ca13a1 100644
--- a/modules/processing_diffusers.py
+++ b/modules/processing_diffusers.py
@@ -595,8 +595,10 @@ def process_diffusers(p: processing.StableDiffusionProcessing):
             if not hasattr(output, 'images') and hasattr(output, 'frames'):
                 shared.log.debug(f'Generated: frames={len(output.frames[0])}')
                 output.images = output.frames[0]
-            if output.images is not None and len(output.images) > 0:
+            if hasattr(shared.sd_model, "vae") and output.images is not None and len(output.images) > 0:
                 results = processing_vae.vae_decode(latents=output.images, model=shared.sd_model, full_quality=p.full_quality)
+            elif hasattr(output, 'images'):
+                results = output.images
             else:
                 shared.log.warning('Processing returned no results')
                 results = []
diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py
index e5ef35df8..0a8648305 100644
--- a/modules/textual_inversion/textual_inversion.py
+++ b/modules/textual_inversion/textual_inversion.py
@@ -184,7 +184,7 @@ class EmbeddingDatabase:
                 if ext.upper() not in exts:
                     raise ValueError(f'extension `{ext}` is invalid, expected one of: {exts}')
                 if name in tokenizer_vocab:
-                    raise ValueError(f'invalid embedding name (cannot exist in vocab.json)')
+                    raise ValueError('invalid embedding name (cannot exist in vocab.json)')
                 embeddings_to_load.append(embedding)
             except Exception as e:
                 skipped_embeddings.append(embedding)