diff --git a/recipes/ljspeech/xtts_v1/train_gpt_xtts.py b/recipes/ljspeech/xtts_v1/train_gpt_xtts.py
index a7ae40e2..7d8f4064 100644
--- a/recipes/ljspeech/xtts_v1/train_gpt_xtts.py
+++ b/recipes/ljspeech/xtts_v1/train_gpt_xtts.py
@@ -41,8 +41,8 @@ os.makedirs(CHECKPOINTS_OUT_PATH, exist_ok=True)
 
 
 # DVAE files
-DVAE_CHECKPOINT_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/v1.1.1/dvae.pth"
-MEL_NORM_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/v1.1.1/mel_stats.pth"
+DVAE_CHECKPOINT_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/v1.1.2/dvae.pth"
+MEL_NORM_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/v1.1.2/mel_stats.pth"
 
 # Set the path to the downloaded files
 DVAE_CHECKPOINT = os.path.join(CHECKPOINTS_OUT_PATH, DVAE_CHECKPOINT_LINK.split("/")[-1])
@@ -55,8 +55,8 @@ if not os.path.isfile(DVAE_CHECKPOINT) or not os.path.isfile(MEL_NORM_FILE):
 
 
 # Download XTTS v1.1 checkpoint if needed
-TOKENIZER_FILE_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/v1.1.1/vocab.json"
-XTTS_CHECKPOINT_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/v1.1.1/model.pth"
+TOKENIZER_FILE_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/v1.1.2/vocab.json"
+XTTS_CHECKPOINT_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/v1.1.2/model.pth"
 
 # XTTS transfer learning parameters: You we need to provide the paths of XTTS model checkpoint that you want to do the fine tuning.
 TOKENIZER_FILE = os.path.join(CHECKPOINTS_OUT_PATH, TOKENIZER_FILE_LINK.split("/")[-1])  # vocab.json file