diff --git a/.env.sample b/.env.sample
index 2d42907..a23ae89 100644
--- a/.env.sample
+++ b/.env.sample
@@ -1,6 +1,6 @@
 BERT_MODEL_PATH=models/deberta.onnx
-MODEL_PATH=models/model_tsukuyomi.onnx
+MODEL_PATH=models/tsukuyomi.sbv2
 MODELS_PATH=models
-STYLE_VECTORS_PATH=models/style_vectors.json
 TOKENIZER_PATH=models/tokenizer.json
-ADDR=localhost:3000
\ No newline at end of file
+ADDR=localhost:3000
+RUST_LOG=warn
\ No newline at end of file
diff --git a/.gitignore b/.gitignore
index 3f1a5cd..15193c7 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,6 +1,7 @@
 target
-models/*.onnx
-models/*.json
+models/
+!models/.gitkeep
 venv/
 .env
-output.wav
\ No newline at end of file
+output.wav
+node_modules
\ No newline at end of file
diff --git a/Cargo.lock b/Cargo.lock
index 3e502f1..a61dc9b 100644
--- a/Cargo.lock
+++ b/Cargo.lock
@@ -228,6 +228,8 @@ version = "1.1.18"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "b62ac837cdb5cb22e10a256099b4fc502b1dfe560cb282963a974d7abd80e476"
 dependencies = [
+ "jobserver",
+ "libc",
  "shlex",
 ]
 
@@ -854,6 +856,15 @@ dependencies = [
  "thiserror",
 ]
 
+[[package]]
+name = "jobserver"
+version = "0.1.32"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "48d1dbcbbeb6a7fec7e059840aa538bd62aaccf972c7346c4d9d2059312853d0"
+dependencies = [
+ "libc",
+]
+
 [[package]]
 name = "jpreprocess"
 version = "0.10.0"
@@ -1829,10 +1840,11 @@ dependencies = [
 
 [[package]]
 name = "sbv2_core"
-version = "0.1.0"
+version = "0.1.1"
 dependencies = [
  "anyhow",
  "dotenvy",
+ "env_logger",
  "hound",
  "jpreprocess",
  "ndarray",
@@ -1842,8 +1854,10 @@ dependencies = [
  "regex",
  "serde",
  "serde_json",
+ "tar",
  "thiserror",
  "tokenizers",
+ "zstd",
 ]
 
 [[package]]
@@ -2468,3 +2482,31 @@ name = "zeroize"
 version = "1.8.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "ced3678a2879b30306d323f4542626697a464a97c0a07c9aebf7ebca65cd4dde"
+
+[[package]]
+name = "zstd"
+version = "0.13.2"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "fcf2b778a664581e31e389454a7072dab1647606d44f7feea22cd5abb9c9f3f9"
+dependencies = [
+ "zstd-safe",
+]
+
+[[package]]
+name = "zstd-safe"
+version = "7.2.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "54a3ab4db68cea366acc5c897c7b4d4d1b8994a9cd6e6f841f8964566a419059"
+dependencies = [
+ "zstd-sys",
+]
+
+[[package]]
+name = "zstd-sys"
+version = "2.0.13+zstd.1.5.6"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "38ff0f21cfee8f97d94cef41359e0c89aa6113028ab0291aa8ca0038995a95aa"
+dependencies = [
+ "cc",
+ "pkg-config",
+]
diff --git a/Cargo.toml b/Cargo.toml
index 049cedb..a9a7433 100644
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -5,3 +5,4 @@ members = ["sbv2_api", "sbv2_core", "sbv2_bindings"]
 [workspace.dependencies]
 anyhow = "1.0.86"
 dotenvy = "0.15.7"
+env_logger = "0.11.5"
diff --git a/README.md b/README.md
index 374f10c..f196c80 100644
--- a/README.md
+++ b/README.md
@@ -1,52 +1,98 @@
-# sbv2-api
-このプロジェクトはStyle-Bert-ViTS2をONNX化したものをRustで実行するのを目的としています。
+# SBV2-API
 
-学習したい場合は、Style-Bert-ViTS2 学習方法 などで調べるとよいかもしれません。
+## プログラミングに詳しくない方向け
 
-JP-Extraしか対応していません。(基本的に対応する予定もありません)
+[こちら](https://github.com/tuna2134/sbv2-gui?tab=readme-ov-file)を参照してください。
 
-## ONNX化する方法
-```sh
-cd convert
-# (何かしらの方法でvenv作成(推奨))
-pip install -r requirements.txt
-python convert_deberta.py
-python convert_model.py --style_file ../../style-bert-vits2/model_assets/something/style_vectors.npy --config_file ../../style-bert-vits2/model_assets/something/config.json --model_file ../../style-bert-vits2/model_assets/something/something_eXXX_sXXXX.safetensors
-```
+コマンドやpythonの知識なしで簡単に使えるバージョンです。(できることはほぼ同じ)
+
+## このプロジェクトについて
+
+このプロジェクトは Style-Bert-ViTS2 を ONNX 化したものを Rust で実行するのを目的としたライブラリです。
+
+JP-Extra しか対応していません。(基本的に対応する予定もありません)
+
+## 変換方法
+
+[こちら](https://github.com/tuna2134/sbv2-api/tree/main/convert)を参照してください。
 
 ## Todo
-- [x] WebAPIの実装
-- [x] Rustライブラリの実装
-- [ ] 余裕があればPyO3使ってPythonで利用可能にする
-- [x] GPU対応(優先的にCUDA)
-- [ ] WASM変換(ortがサポートやめたので、中止)
+
+- [x] REST API の実装
+- [x] Rust ライブラリの実装
+- [x] `.sbv2`フォーマットの開発
+- [ ] PyO3 を利用し、 Python から使えるようにする
+- [x] GPU 対応(CUDA)
+- [x] GPU 対応(DirectML)
+- [ ] WASM 変換(依存ライブラリの関係により現在は不可)
 
 ## 構造説明
+
 - `sbv2_api` - 推論用 REST API
 - `sbv2_core` - 推論コア部分
-- `docker` - dockerビルドスクリプト
+- `docker` - docker ビルドスクリプト
+- `convert` - onnx, sbv2フォーマットへの変換スクリプト
+
+## プログラミングある程度できる人向けREST API起動方法
+
+### models をインストール
+
+https://huggingface.co/googlefan/sbv2_onnx_models/tree/main
+の`tokenizer.json`,`debert.onnx`,`tsukuyomi.sbv2`を models フォルダに配置
+
+### .env ファイルの作成
 
-## APIの起動方法
 ```sh
-cargo run -p sbv2_api -r
+cp .env.sample .env
 ```
 
-### CUDAでの起動
+### 起動
+
+CPUの場合は
 ```sh
-cargo run -p sbv2_api -r -F cuda,cuda_tf32
+docker run -it --rm -p 3000:3000 --name sbv2 \
+-v ./models:/work/models --env-file .env \
+ghcr.io/tuna2134/sbv2-api:cpu
 ```
 
-### Dynamic Linkサポート
+CUDAの場合は
 ```sh
-ORT_DYLIB_PATH=./libonnxruntime.dll cargo run -p sbv2_api -r -F dynamic
+docker run -it --rm -p 3000:3000 --name sbv2 \
+-v ./models:/work/models --env-file .env \
+--gpus all \
+ghcr.io/tuna2134/sbv2-api:cuda
 ```
 
-### テストコマンド
+### 起動確認
+
 ```sh
-curl -XPOST -H "Content-type: application/json" -d '{"text": "こんにちは","ident": "something"}' 'http://localhost:3000/synthesize'
+curl -XPOST -H "Content-type: application/json" -d '{"text": "こんにちは","ident": "tsukuyomi"}' 'http://localhost:3000/synthesize' --output "output.wav"
 curl http://localhost:3000/models
 ```
 
+## 開発者向けガイド
+
+### Feature flags
+
+`sbv2_api`、`sbv2_core`共に
+- `cuda` featureでcuda
+- `cuda_tf32` featureでcudaのtf32機能
+- `tensorrt` featureでbert部分のtensorrt利用
+- `dynamic` featureで手元のonnxruntime共有ライブラリを利用(`ORT_DYLIB_PATH=./libonnxruntime.dll`などで指定)
+- `directml` featureでdirectmlの利用
+ができます。
+
+### 環境変数
+
+以下の環境変数はライブラリ側では適用されません。
+
+ライブラリAPIについては`https://docs.rs/sbv2_core`を参照してください。
+
+- `ADDR` `localhost:3000`などのようにサーバー起動アドレスをコントロールできます。
+- `MODELS_PATH` sbv2モデルの存在するフォルダを指定できます。
+- `RUST_LOG` おなじみlog levelです。
+
 ## 謝辞
+
 - [litagin02/Style-Bert-VITS2](https://github.com/litagin02/Style-Bert-VITS2) - このコードの書くにあたり、ベースとなる部分を参考にさせていただきました。
-- [Googlefan](https://github.com/Googlefan256) - 彼にモデルをONNXヘ変換および効率化をする方法を教わりました。
+- [Googlefan](https://github.com/Googlefan256) - 彼にモデルを ONNX ヘ変換および効率化をする方法を教わりました。
diff --git a/convert/README.md b/convert/README.md
new file mode 100644
index 0000000..3dbf86d
--- /dev/null
+++ b/convert/README.md
@@ -0,0 +1,36 @@
+# 変換方法
+
+## 初心者向け準備
+
+わかる人は飛ばしてください。
+
+1. pythonを入れます。3.11.8で動作確認をしていますが、最近のバージョンなら大体動くはずです。
+
+4. `cd convert`
+
+3. `python -m venv venv`
+
+4. `source venv/bin/activate`
+
+5. `pip install -r requirements.txt`
+
+## モデル変換
+
+1. 変換したいモデルの`.safetensors`で終わるファイルの位置を特定してください。
+
+2. 同様に`config.json`、`style_vectors.npy`というファイルを探してください。
+
+3. 以下のコマンドを実行します。
+```sh
+python convert_model.py --style_file "ここにstyle_vectors.npyの場所" --config_file "同様にconfig.json場所" --model_file "同様に.safetensorsで終わるファイルの場所"
+```
+
+4. `models/名前.sbv2`というファイルが出力されます。GUI版のモデルファイルに入れてあげたら使えます。
+
+## Deberta変換
+
+意味が分からないならおそらく変換しなくてもいいってことです。
+
+venvを用意し、requirementsを入れて、`python convert_model.py`を実行するだけです。
+
+`models/deberta.onnx`と`models/tokenizer.json`が出力されたら成功です。
\ No newline at end of file
diff --git a/convert/convert_model.py b/convert/convert_model.py
index a8097db..17ddc6c 100644
--- a/convert/convert_model.py
+++ b/convert/convert_model.py
@@ -1,5 +1,6 @@
 import numpy as np
 import json
+from io import BytesIO
 from style_bert_vits2.nlp import bert_models
 from style_bert_vits2.constants import Languages
 from style_bert_vits2.models.infer import get_net_g, get_text
@@ -11,6 +12,9 @@ from style_bert_vits2.constants import (
     DEFAULT_STYLE_WEIGHT,
     Languages,
 )
+import os
+from tarfile import open as taropen, TarInfo
+from zstandard import ZstdCompressor
 from style_bert_vits2.tts_model import TTSModel
 import numpy as np
 from argparse import ArgumentParser
@@ -141,3 +145,23 @@ torch.onnx.export(
     ],
     output_names=["output"],
 )
+os.system(f"onnxsim ../models/model_{out_name}.onnx ../models/model_{out_name}.onnx")
+onnxfile = open(f"../models/model_{out_name}.onnx", "rb").read()
+stylefile = open(f"../models/style_vectors_{out_name}.json", "rb").read()
+version = bytes("1", "utf8")
+with taropen(f"../models/tmp_{out_name}.sbv2tar", "w") as w:
+
+    def add_tar(f, b):
+        t = TarInfo(f)
+        t.size = len(b)
+        w.addfile(t, BytesIO(b))
+
+    add_tar("version.txt", version)
+    add_tar("model.onnx", onnxfile)
+    add_tar("style_vectors.json", stylefile)
+open(f"../models/{out_name}.sbv2", "wb").write(
+    ZstdCompressor(threads=-1, level=22).compress(
+        open(f"../models/tmp_{out_name}.sbv2tar", "rb").read()
+    )
+)
+os.unlink(f"../models/tmp_{out_name}.sbv2tar")
diff --git a/convert/requirements.txt b/convert/requirements.txt
index 00790b8..5f17210 100644
--- a/convert/requirements.txt
+++ b/convert/requirements.txt
@@ -1,3 +1,4 @@
 style-bert-vits2
 onnxsim
-numpy<3
\ No newline at end of file
+numpy<2
+zstandard
\ No newline at end of file
diff --git a/docker/cuda.Dockerfile b/docker/cuda.Dockerfile
index dd5215e..1b1b637 100644
--- a/docker/cuda.Dockerfile
+++ b/docker/cuda.Dockerfile
@@ -2,9 +2,9 @@ FROM rust AS builder
 WORKDIR /work
 COPY . .
 RUN cargo build -r --bin sbv2_api -F cuda,cuda_tf32
-
-FROM nvidia/cuda:12.6.1-cudnn-runtime-ubuntu24.04
+FROM nvidia/cuda:12.3.2-cudnn9-runtime-ubuntu22.04
 WORKDIR /work
 COPY --from=builder /work/target/release/sbv2_api /work/main
 COPY --from=builder /work/target/release/*.so /work
+ENV LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/work
 CMD ["/work/main"]
\ No newline at end of file
diff --git a/docker/run.sh b/docker/run.sh
deleted file mode 100644
index 7b32775..0000000
--- a/docker/run.sh
+++ /dev/null
@@ -1 +0,0 @@
-docker run -it --rm -p 3000:3000 --name sbv2 -v ./models:/work/models --env-file .env sbv2
\ No newline at end of file
diff --git a/docker/run_cpu.sh b/docker/run_cpu.sh
new file mode 100755
index 0000000..3e6b141
--- /dev/null
+++ b/docker/run_cpu.sh
@@ -0,0 +1,3 @@
+docker run -it --rm -p 3000:3000 --name sbv2 \
+-v ./models:/work/models --env-file .env \
+ghcr.io/tuna2134/sbv2-api:cpu
\ No newline at end of file
diff --git a/docker/run_cuda.sh b/docker/run_cuda.sh
new file mode 100755
index 0000000..38e6afa
--- /dev/null
+++ b/docker/run_cuda.sh
@@ -0,0 +1,4 @@
+docker run -it --rm -p 3000:3000 --name sbv2 \
+-v ./models:/work/models --env-file .env \
+--gpus all \
+ghcr.io/tuna2134/sbv2-api:cuda
\ No newline at end of file
diff --git a/sbv2_api/Cargo.toml b/sbv2_api/Cargo.toml
index b1ac73a..4b0b43a 100644
--- a/sbv2_api/Cargo.toml
+++ b/sbv2_api/Cargo.toml
@@ -7,13 +7,16 @@ edition = "2021"
 anyhow.workspace = true
 axum = "0.7.5"
 dotenvy.workspace = true
-env_logger = "0.11.5"
+env_logger.workspace = true
 log = "0.4.22"
-sbv2_core = { version = "0.1.0", path = "../sbv2_core" }
+sbv2_core = { version = "0.1.1", path = "../sbv2_core" }
 serde = { version = "1.0.210", features = ["derive"] }
 tokio = { version = "1.40.0", features = ["full"] }
 
 [features]
+coreml = ["sbv2_core/coreml"]
 cuda = ["sbv2_core/cuda"]
 cuda_tf32 = ["sbv2_core/cuda_tf32"]
 dynamic = ["sbv2_core/dynamic"]
+directml = ["sbv2_core/directml"]
+tensorrt = ["sbv2_core/tensorrt"]
\ No newline at end of file
diff --git a/sbv2_api/src/main.rs b/sbv2_api/src/main.rs
index e956e93..a10ec0a 100644
--- a/sbv2_api/src/main.rs
+++ b/sbv2_api/src/main.rs
@@ -26,6 +26,7 @@ fn sdp_default() -> f32 {
 fn length_default() -> f32 {
     1.0
 }
+
 #[derive(Deserialize)]
 struct SynthesizeRequest {
     text: String,
@@ -88,6 +89,20 @@ impl AppState {
                         .iter()
                         .collect::<String>(),
                 );
+            } else if name.ends_with(".sbv2") {
+                let entry = &name[..name.len() - 5];
+                log::info!("Try loading: {entry}");
+                let sbv2_bytes = match fs::read(format!("{models}/{entry}.sbv2")).await {
+                    Ok(b) => b,
+                    Err(e) => {
+                        log::warn!("Error loading sbv2_bytes from file {entry}: {e}");
+                        continue;
+                    }
+                };
+                if let Err(e) = tts_model.load_sbv2file(entry, sbv2_bytes) {
+                    log::warn!("Error loading {entry}: {e}");
+                };
+                log::info!("Loaded: {entry}");
             }
         }
         for entry in entries {
@@ -110,6 +125,7 @@ impl AppState {
             if let Err(e) = tts_model.load(&entry, style_vectors_bytes, vits2_bytes) {
                 log::warn!("Error loading {entry}: {e}");
             };
+            log::info!("Loaded: {entry}");
         }
         Ok(Self {
             tts_model: Arc::new(Mutex::new(tts_model)),
@@ -119,7 +135,7 @@ impl AppState {
 
 #[tokio::main]
 async fn main() -> anyhow::Result<()> {
-    dotenvy::dotenv().ok();
+    dotenvy::dotenv_override().ok();
     env_logger::init();
     let app = Router::new()
         .route("/", get(|| async { "Hello, World!" }))
diff --git a/sbv2_core/Cargo.toml b/sbv2_core/Cargo.toml
index 37203d9..63badb6 100644
--- a/sbv2_core/Cargo.toml
+++ b/sbv2_core/Cargo.toml
@@ -1,11 +1,16 @@
 [package]
 name = "sbv2_core"
-version = "0.1.0"
+description = "Style-Bert-VITSの推論ライブラリ"
+version = "0.1.1"
 edition = "2021"
+license = "MIT"
+readme = "../README.md"
+repository = "https://github.com/tuna2134/sbv2-api"
 
 [dependencies]
 anyhow.workspace = true
 dotenvy.workspace = true
+env_logger.workspace = true
 hound = "3.5.1"
 jpreprocess = { version = "0.10.0", features = ["naist-jdic"] }
 ndarray = "0.16.1"
@@ -15,10 +20,15 @@ ort = { git = "https://github.com/pykeio/ort.git", version = "2.0.0-rc.6" }
 regex = "1.10.6"
 serde = { version = "1.0.210", features = ["derive"] }
 serde_json = "1.0.128"
+tar = "0.4.41"
 thiserror = "1.0.63"
 tokenizers = "0.20.0"
+zstd = "0.13.2"
 
 [features]
 cuda = ["ort/cuda"]
 cuda_tf32 = []
-dynamic = ["ort/load-dynamic"]
\ No newline at end of file
+dynamic = ["ort/load-dynamic"]
+directml = ["ort/directml"]
+tensorrt = ["ort/tensorrt"]
+coreml = ["ort/coreml"]
\ No newline at end of file
diff --git a/sbv2_core/src/main.rs b/sbv2_core/src/main.rs
index 5d27c65..925e735 100644
--- a/sbv2_core/src/main.rs
+++ b/sbv2_core/src/main.rs
@@ -4,18 +4,15 @@ use sbv2_core::tts;
 use std::env;
 
 fn main() -> anyhow::Result<()> {
-    dotenvy::dotenv().ok();
+    dotenvy::dotenv_override().ok();
+    env_logger::init();
     let text = "眠たい";
     let ident = "aaa";
     let mut tts_holder = tts::TTSModelHolder::new(
         &fs::read(env::var("BERT_MODEL_PATH")?)?,
         &fs::read(env::var("TOKENIZER_PATH")?)?,
     )?;
-    tts_holder.load(
-        ident,
-        fs::read(env::var("STYLE_VECTORS_PATH")?)?,
-        fs::read(env::var("MODEL_PATH")?)?,
-    )?;
+    tts_holder.load_sbv2file(ident, fs::read(env::var("MODEL_PATH")?)?)?;
 
     let (bert_ori, phones, tones, lang_ids) = tts_holder.parse_text(text)?;
 
@@ -32,6 +29,14 @@ fn main() -> anyhow::Result<()> {
     )?;
     std::fs::write("output.wav", data)?;
     let now = Instant::now();
+    for _ in 0..10 {
+        tts_holder.parse_text(text)?;
+    }
+    println!(
+        "Time taken(parse_text): {}ms/it",
+        now.elapsed().as_millis() / 10
+    );
+    let now = Instant::now();
     for _ in 0..10 {
         tts_holder.synthesize(
             ident,
@@ -44,6 +49,9 @@ fn main() -> anyhow::Result<()> {
             1.0,
         )?;
     }
-    println!("Time taken: {}", now.elapsed().as_millis());
+    println!(
+        "Time taken(synthesize): {}ms/it",
+        now.elapsed().as_millis() / 10
+    );
     Ok(())
 }
diff --git a/sbv2_core/src/model.rs b/sbv2_core/src/model.rs
index 1598e9b..2b975ca 100644
--- a/sbv2_core/src/model.rs
+++ b/sbv2_core/src/model.rs
@@ -4,11 +4,25 @@ use ndarray::{array, s, Array1, Array2, Axis};
 use ort::{GraphOptimizationLevel, Session};
 use std::io::Cursor;
 
-#[allow(clippy::vec_init_then_push)]
-pub fn load_model<P: AsRef<[u8]>>(model_file: P) -> Result<Session> {
+#[allow(clippy::vec_init_then_push, unused_variables)]
+pub fn load_model<P: AsRef<[u8]>>(model_file: P, bert: bool) -> Result<Session> {
     let mut exp = Vec::new();
+    #[cfg(feature = "tensorrt")]
+    {
+        if bert {
+            exp.push(
+                ort::TensorRTExecutionProvider::default()
+                    .with_fp16(true)
+                    .with_profile_min_shapes("input_ids:1x1,attention_mask:1x1")
+                    .with_profile_max_shapes("input_ids:1x100,attention_mask:1x100")
+                    .with_profile_opt_shapes("input_ids:1x25,attention_mask:1x25")
+                    .build(),
+            );
+        }
+    }
     #[cfg(feature = "cuda")]
     {
+        #[allow(unused_mut)]
         let mut cuda = ort::CUDAExecutionProvider::default()
             .with_conv_algorithm_search(ort::CUDAExecutionProviderCuDNNConvAlgoSearch::Default);
         #[cfg(feature = "cuda_tf32")]
@@ -17,6 +31,14 @@ pub fn load_model<P: AsRef<[u8]>>(model_file: P) -> Result<Session> {
         }
         exp.push(cuda.build());
     }
+    #[cfg(feature = "directml")]
+    {
+        exp.push(ort::DirectMLExecutionProvider::default().build());
+    }
+    #[cfg(feature = "coreml")]
+    {
+        exp.push(ort::CoreMLExecutionProvider::default().build());
+    }
     exp.push(ort::CPUExecutionProvider::default().build());
     Ok(Session::builder()?
         .with_execution_providers(exp)?
@@ -26,6 +48,7 @@ pub fn load_model<P: AsRef<[u8]>>(model_file: P) -> Result<Session> {
         .with_inter_threads(num_cpus::get_physical())?
         .commit_from_memory(model_file.as_ref())?)
 }
+
 #[allow(clippy::too_many_arguments)]
 pub fn synthesize(
     session: &Session,
diff --git a/sbv2_core/src/tts.rs b/sbv2_core/src/tts.rs
index 5a8c454..0d50096 100644
--- a/sbv2_core/src/tts.rs
+++ b/sbv2_core/src/tts.rs
@@ -2,7 +2,10 @@ use crate::error::{Error, Result};
 use crate::{bert, jtalk, model, nlp, norm, style, tokenizer, utils};
 use ndarray::{concatenate, s, Array, Array1, Array2, Axis};
 use ort::Session;
+use std::io::{Cursor, Read};
+use tar::Archive;
 use tokenizers::Tokenizer;
+use zstd::decode_all;
 
 #[derive(PartialEq, Eq, Clone)]
 pub struct TTSIdent(String);
@@ -38,7 +41,7 @@ pub struct TTSModelHolder {
 
 impl TTSModelHolder {
     pub fn new<P: AsRef<[u8]>>(bert_model_bytes: P, tokenizer_bytes: P) -> Result<Self> {
-        let bert = model::load_model(bert_model_bytes)?;
+        let bert = model::load_model(bert_model_bytes, true)?;
         let jtalk = jtalk::JTalk::new()?;
         let tokenizer = tokenizer::get_tokenizer(tokenizer_bytes)?;
         Ok(TTSModelHolder {
@@ -53,6 +56,35 @@ impl TTSModelHolder {
         self.models.iter().map(|m| m.ident.to_string()).collect()
     }
 
+    pub fn load_sbv2file<I: Into<TTSIdent>, P: AsRef<[u8]>>(
+        &mut self,
+        ident: I,
+        sbv2_bytes: P,
+    ) -> Result<()> {
+        let mut arc = Archive::new(Cursor::new(decode_all(Cursor::new(sbv2_bytes.as_ref()))?));
+        let mut vits2 = None;
+        let mut style_vectors = None;
+        let mut et = arc.entries()?;
+        while let Some(Ok(mut e)) = et.next() {
+            let pth = String::from_utf8_lossy(&e.path_bytes()).to_string();
+            let mut b = Vec::with_capacity(e.size() as usize);
+            e.read_to_end(&mut b)?;
+            match pth.as_str() {
+                "model.onnx" => vits2 = Some(b),
+                "style_vectors.json" => style_vectors = Some(b),
+                _ => continue,
+            }
+        }
+        if style_vectors.is_none() {
+            return Err(Error::ModelNotFoundError("style_vectors".to_string()));
+        }
+        if vits2.is_none() {
+            return Err(Error::ModelNotFoundError("vits2".to_string()));
+        }
+        self.load(ident, style_vectors.unwrap(), vits2.unwrap())?;
+        Ok(())
+    }
+
     pub fn load<I: Into<TTSIdent>, P: AsRef<[u8]>>(
         &mut self,
         ident: I,
@@ -62,7 +94,7 @@ impl TTSModelHolder {
         let ident = ident.into();
         if self.find_model(ident.clone()).is_err() {
             self.models.push(TTSModel {
-                vits2: model::load_model(vits2_bytes)?,
+                vits2: model::load_model(vits2_bytes, false)?,
                 style_vectors: style::load_style(style_vectors_bytes)?,
                 ident,
             })
diff --git a/sbv2_core/src/utils.rs b/sbv2_core/src/utils.rs
index 9cf54f9..0d38a49 100644
--- a/sbv2_core/src/utils.rs
+++ b/sbv2_core/src/utils.rs
@@ -2,11 +2,6 @@ pub fn intersperse<T>(slice: &[T], sep: T) -> Vec<T>
 where
     T: Clone,
 {
-    /*
-    result = [item] * (len(lst) * 2 + 1)
-    result[1::2] = lst
-    return result
-    */
     let mut result = vec![sep.clone(); slice.len() * 2 + 1];
     result
         .iter_mut()
@@ -15,24 +10,3 @@ where
         .for_each(|(r, s)| *r = s.clone());
     result
 }
-
-/*
-fn tile<T: Clone>(arr: &Array2<T>, reps: (usize, usize)) -> Array2<T> {
-    let (rows, cols) = arr.dim();
-    let (rep_rows, rep_cols) = reps;
-
-    let mut result = Array::zeros((rows * rep_rows, cols * rep_cols));
-
-    for i in 0..rep_rows {
-        for j in 0..rep_cols {
-            let view = result.slice_mut(s![
-                i * rows..(i + 1) * rows,
-                j * cols..(j + 1) * cols
-            ]);
-            view.assign(arr);
-        }
-    }
-
-    result
-}
-*/
diff --git a/test.py b/test.py
index 571b861..907c2a4 100644
--- a/test.py
+++ b/test.py
@@ -1,7 +1,7 @@
 import requests
 
 res = requests.post(
-    "http://localhost:3001/synthesize",
+    "http://localhost:3000/synthesize",
     json={"text": "おはようございます", "ident": "tsukuyomi"},
 )
 with open("output.wav", "wb") as f: