fix(api): better logging when converting textual inversions

api/onnx_web/convert/diffusion/textual_inversion.py

@@ -49,6 +49,8 @@ def convert_diffusion_textual_inversion(
         # separate token and embeds
         trained_token = list(string_to_token.keys())[0]
         embeds = string_to_param[trained_token]
+    else:
+        raise ValueError(f"unknown textual inversion format: {format}")
 
     logger.info("found embedding for token %s: %s", trained_token, embeds.shape)
 
@@ -88,8 +90,10 @@ def convert_diffusion_textual_inversion(
         return_tensors="pt",
     )
 
+    logger.info("saving tokenizer for textual inversion")
     tokenizer.save_pretrained(path.join(dest_path, "tokenizer"))
 
+    logger.info("saving text encoder for textual inversion")
     export(
         text_encoder,
         # casting to torch.int32 until the CLIP fix is released: https://github.com/huggingface/transformers/pull/18515/files
@@ -103,3 +107,5 @@ def convert_diffusion_textual_inversion(
         do_constant_folding=True,
         opset_version=context.opset,
     )
+
+    logger.info("textual inversion saved to %s", dest_path)