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This Space is synced from the GitHub repo: https://github.com/SWivid/F5-TTS. Please submit contributions to the Space there

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "f5-tts"
-version = "1.0.3"
+version = "1.0.4"
 description = "F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching"
 readme = "README.md"
 license = {text = "MIT License"}

src/f5_tts/train/finetune_gradio.py

@@ -1013,7 +1013,10 @@ def expand_model_embeddings(ckpt_path, new_ckpt_path, num_new_tokens=42):
 
     ema_sd[embed_key_ema] = expand_embeddings(ema_sd[embed_key_ema])
 
-    torch.save(ckpt, new_ckpt_path)
+    if new_ckpt_path.endswith(".safetensors"):
+        save_file(ema_sd, new_ckpt_path)
+    elif new_ckpt_path.endswith(".pt"):
+        torch.save(ckpt, new_ckpt_path)
 
     return vocab_new