diff --git a/scripts/convert_ltx2_to_diffusers.py b/scripts/convert_ltx2_to_diffusers.py
index f2e879c065..eb130a3549 100644
--- a/scripts/convert_ltx2_to_diffusers.py
+++ b/scripts/convert_ltx2_to_diffusers.py
@@ -8,7 +8,7 @@ import torch
 from accelerate import init_empty_weights
 from huggingface_hub import hf_hub_download
 
-from diffusers import AutoencoderKLLTX2Video, LTX2VideoTransformer3DModel
+from diffusers import AutoencoderKLLTX2Audio, AutoencoderKLLTX2Video, LTX2VideoTransformer3DModel
 from diffusers.utils.import_utils import is_accelerate_available
 from diffusers.pipelines.ltx2.vocoder import LTX2Vocoder
 
@@ -62,6 +62,8 @@ LTX_2_0_VIDEO_VAE_RENAME_DICT = {
     "per_channel_statistics.std-of-means": "latents_std",
 }
 
+LTX_2_0_AUDIO_VAE_RENAME_DICT = {}
+
 LTX_2_0_VOCODER_RENAME_DICT = {
     "ups": "upsamplers",
     "resblocks": "resnets",
@@ -96,6 +98,15 @@ def convert_ltx2_transformer_adaln_single(key: str, state_dict: Dict[str, Any])
     return
 
 
+def convert_ltx2_audio_vae_per_channel_statistics(key: str, state_dict: Dict[str, Any]) -> None:
+    if key.startswith("per_channel_statistics"):
+        new_key = ".".join(["decoder", key])
+        param = state_dict.pop(key)
+        state_dict[new_key] = param
+
+    return
+
+
 LTX_2_0_TRANSFORMER_SPECIAL_KEYS_REMAP = {
     "video_embeddings_connector": remove_keys_inplace,
     "audio_embeddings_connector": remove_keys_inplace,
@@ -107,6 +118,11 @@ LTX_2_0_VAE_SPECIAL_KEYS_REMAP = {
     "per_channel_statistics.mean-of-stds": remove_keys_inplace,
 }
 
+LTX_2_0_AUDIO_VAE_SPECIAL_KEYS_REMAP = {
+    "encoder": remove_keys_inplace,
+    "per_channel_statistics": convert_ltx2_audio_vae_per_channel_statistics,
+}
+
 LTX_2_0_VOCODER_SPECIAL_KEYS_REMAP = {}
 
 
@@ -325,6 +341,60 @@ def convert_ltx2_video_vae(original_state_dict: Dict[str, Any], version: str) ->
     return vae
 
 
+def get_ltx2_audio_vae_config(version: str) -> Tuple[Dict[str, Any], Dict[str, Any], Dict[str, Any]]:
+    if version == "2.0":
+        config = {
+            "model_id": "diffusers-internal-dev/new-ltx-model",
+            "diffusers_config": {
+                "base_channels": 128,
+                "output_channels": 2,
+                "ch_mult": (1, 2, 4),
+                "num_res_blocks": 2,
+                "attn_resolutions": None,
+                "in_channels": 2,
+                "resolution": 256,
+                "latent_channels": 8,
+                "norm_type": "pixel",
+                "causality_axis": "height",
+                "dropout": 0.0,
+                "mid_block_add_attention": False,
+                "sample_rate": 16000,
+                "mel_hop_length": 160,
+                "is_causal": True,
+                "mel_bins": 64,
+            },
+        }
+        rename_dict = LTX_2_0_AUDIO_VAE_RENAME_DICT
+        special_keys_remap = LTX_2_0_AUDIO_VAE_SPECIAL_KEYS_REMAP
+    return config, rename_dict, special_keys_remap
+
+
+def convert_ltx2_audio_vae(original_state_dict: Dict[str, Any], version: str) -> Dict[str, Any]:
+    config, rename_dict, special_keys_remap = get_ltx2_audio_vae_config(version)
+    diffusers_config = config["diffusers_config"]
+
+    with init_empty_weights():
+        vae = AutoencoderKLLTX2Audio.from_config(diffusers_config)
+
+    # Handle official code --> diffusers key remapping via the remap dict
+    for key in list(original_state_dict.keys()):
+        new_key = key[:]
+        for replace_key, rename_key in rename_dict.items():
+            new_key = new_key.replace(replace_key, rename_key)
+        update_state_dict_inplace(original_state_dict, key, new_key)
+
+    # Handle any special logic which can't be expressed by a simple 1:1 remapping with the handlers in
+    # special_keys_remap
+    for key in list(original_state_dict.keys()):
+        for special_key, handler_fn_inplace in special_keys_remap.items():
+            if special_key not in key:
+                continue
+            handler_fn_inplace(key, original_state_dict)
+
+    vae.load_state_dict(original_state_dict, strict=True, assign=True)
+    return vae
+
+
 def get_ltx2_vocoder_config(version: str) -> Tuple[Dict[str, Any], Dict[str, Any], Dict[str, Any]]:
     if version == "2.0":
         config = {
@@ -513,7 +583,13 @@ def main(args):
             vae.to(vae_dtype).save_pretrained(os.path.join(args.output_path, "vae"))
 
     if args.audio_vae or args.full_pipeline:
-        pass
+        if args.audio_vae_filename is not None:
+            original_audio_vae_ckpt = load_hub_or_local_checkpoint(filename=args.audio_vae_filename)
+        elif combined_ckpt is not None:
+            original_audio_vae_ckpt = get_model_state_dict_from_combined_ckpt(combined_ckpt, args.audio_vae_prefix)
+        audio_vae = convert_ltx2_audio_vae(original_audio_vae_ckpt, version=args.version)
+        if not args.full_pipeline:
+            audio_vae.to(audio_vae_dtype).save_pretrained(os.path.join(args.output_path, "audio_vae"))
 
     if args.dit or args.full_pipeline:
         if args.dit_filename is not None: