F5-TTS is an open-source voice cloning tool from Shanghai Jiao Tong University with excellent results. The initial version only supported Chinese and English cloning, but the latest version v1 has expanded to support multiple languages such as French, Italian, Hindi, Japanese, Russian, Spanish, and Finnish.

This article mainly introduces how to install and start F5-TTS using the official source code and how to connect it to the pyVideotrans project. In addition, it will also introduce how to modify the source code to achieve calls within the local area network.

At the same time, due to limited energy, I will no longer maintain the previous personal integration package and API interface, but instead uniformly use the official interface to connect with the pyVideotrans project. The limitation of the official interface is that it can only be called locally and cannot be called within the local area network. For solutions, please refer to the LAN usage section of this article.

Prerequisites

Your system must have Python version 3.10 installed. Although versions 3.11/3.12 may theoretically work, they have not been actually tested, so it is recommended to use version 3.10.

If Python is not already installed:

• Windows System Installation Tutorial: https://pvt512.com/20250313/pythoninstall

• Mac System Installation: If not installed, please visit the Python official website to download the pkg installation package https://www.python.org/downloads/macos, select version 3.10.11.

  

Check if Python is installed:

• Windows System: Press Win+R, enter cmd in the pop-up window, and press Enter. Enter python --version in the opened black window. If 3.10.xx is displayed, it means it is installed; if "python is not an internal or external command" is prompted, it means it is not installed or Python has not been added to the Path environment variable, and it needs to be reinstalled.
• Mac System: Directly execute python3 --version in the terminal. If 3.10.x is output, it means it is installed; otherwise, it needs to be installed.

Download F5-TTS Source Code

First, create an empty folder in a suitable location. It is recommended to choose a non-system disk and a location that does not require special permissions, such as the D drive. Avoid placing it in directories such as C:/Program Files (it is recommended that the location and folders at all levels use names composed of pure numbers or letters) to avoid potential problems. For example, D:/f5/v1 is a good location, while D:/开源 f5/f5 v1 with spaces and Chinese characters is not recommended.

This article uses installing F5-TTS in the D:/python/f5ttsnew folder of the Windows10 system as an example.

Open the website: https://github.com/SWivid/F5-TTS

As shown in the figure below, click to download the source code:

After downloading, unzip the compressed package and copy all the files in the F5-TTS-main folder to the D:/python/f5ttsnew folder, as shown in the figure below:

Create a Virtual Environment

It is strongly recommended to create a virtual environment unless there are no other Python projects or AI projects on your computer. Virtual environments can effectively avoid many potential errors.

Enter cmd in the address bar of the folder D:/python/f5ttsnew that you just created and press Enter (Mac system please use the terminal to enter the folder).

Execute the following command to create a virtual environment: python -m venv venv. After execution, a folder named venv will be added to the folder.

Next, activate the virtual environment (note the spaces and dot symbols):

• Windows System: .\venv\scripts\activate
• Mac System: . ./venv/bin/activate

After the virtual environment is activated, the command line prompt will add the word (venv). Please make sure that all subsequent operations are performed in this virtual environment, and check whether the command line prompt has (venv) before each operation.

Install Dependencies

In the terminal with the virtual environment activated, continue to enter the following command (note the spaces and dot symbols):

pip install -e .

Wait for the installation to complete. If CUDA acceleration is required, continue to execute the following command (this is one command, do not wrap):

# Install pytorch with your CUDA version, e.g.
pip install torch==2.4.0+cu124 torchaudio==2.4.0+cu124 --extra-index-url https://download.pytorch.org/whl/cu124

Configure Scientific Internet Access Environment

Important Note: F5-TTS needs to download models online from the huggingface.co website. Since this website has been blocked in China and cannot be directly connected, you must configure a scientific Internet access environment and enable global or system proxy before starting.

If the VPN tool you are using provides an HTTP port (as shown in the figure below):

Please enter the following command in the terminal to set the proxy:

• Windows System: set https_proxy=http://127.0.0.1:10808 (Please replace the port number with the actual port you are using)
• Mac System: https_proxy=http://127.0.0.1:10808 (Please replace the port number with the actual port you are using)

You can also directly modify the code to set the proxy to avoid manually entering it in the terminal each time. Open the F5-TTS root directory/src/f5_tts/infer/infer_gradio.py file and add the following code at the top of the file:

import os
os.environ['https_proxy']='http://127.0.0.1:10808' # Fill in according to your actual proxy address

Start the WebUI Interface

After configuring the scientific Internet access environment, enter the following command in the terminal to start the WebUI:

f5-tts_infer-gradio

The first time you start it, the program will automatically download the model, which may be slow, so please be patient. When starting later, the program may still connect to huggingface.co for detection. It is recommended to keep the proxy turned on to avoid errors.

After successful startup, the terminal will display the IP address and port number, as shown in the figure below:

Open the displayed address in the browser, which is http://127.0.0.1:7860 by default.

Connect to the pyVideoTrans API

In order to use F5-TTS in video translation software, you need to start F5-TTS first and keep the terminal window open.

Then, open the video translation software, and select "TTS Settings" -> "F5-TTS API" in the menu, and fill in the startup address of F5-TTS, which is http://127.0.0.1:7860 by default. If your startup address is not the default address, please fill in according to the actual address.

In the "Reference Audio" column, fill in the following:

Audio filename to use#Corresponding text in the audio file

Note: Please put the reference audio file in the f5-tts folder under the pyVideotrans project root directory. If the folder does not exist, please create it manually. For example, you can name the reference audio file nverguo.wav.

Here is an example of how to fill it in:

Re-recognize?: By default, the reference audio (subtitles recognized during cloning) will be sent to F5-TTS together to avoid F5-TTS starting whisper for speech recognition, saving time and improving efficiency. However, sometimes you may want F5-TTS to re-recognize, which can improve the cloning quality to a certain extent. At this time, you can check the checkbox, but note that if this is the first time you do this after checking, F5-TTS will download the openai-whisper-v3 model online from huggingface.co. Please make sure you have scientific Internet access.

Solve LAN Problems

If your F5-TTS is deployed on another computer in the LAN, you need to modify the F5-TTS code to support LAN access.

Open the F5-TTS project directory/src/f5_tts/infer/infer_gradio.py file and add the following code below line 16:

# Add LAN start
import os
from pathlib import Path

ROOT=Path(os.getcwd()).as_posix()
TMP=f'{ROOT}/tmp'
Path(TMP).mkdir(exist_ok=True)
os.environ['GRADIO_TEMP_DIR']=TMP
gr.set_static_paths(paths=[TMP,tempfile.gettempdir()])
print(TMP)

## Add LAN end

Schematic diagram of code addition position:

After saving the changes, restart F5-TTS. Then fill in the IP address and port number after F5-TTS is started in pyVideotrans, for example http://192.168.0.12:7860.

Add Other Languages

If you need to use models in other languages, you also need to modify the F5-TTS project directory/src/f5_tts/infer/infer_gradio.py file.

Find the code around line 59:

DEFAULT_TTS_MODEL_CFG = [
    "hf://SWivid/F5-TTS/F5TTS_v1_Base/model_1250000.safetensors",
    "hf://SWivid/F5-TTS/F5TTS_v1_Base/vocab.txt",
    json.dumps(dict(dim=1024, depth=22, heads=16, ff_mult=2, text_dim=512, conv_layers=4)),
]

Code location diagram:

By default, this configures the official Chinese and English models. If you need to use models in other languages, please modify according to the following instructions. After the modification is complete, you need to restart F5-TTS and make sure that you have configured a scientific Internet access environment so that the program can download new language models online. After the download is successful, first clone a timbre through the WebUI for testing, and then use it through pyVideoTrans.

Important Note: Before using, please make sure that the dubbing text language in pyVideoTrans is consistent with the model language selected in F5-TTS.

The following is the configuration information for each language model:

1. French:

   DEFAULT_TTS_MODEL_CFG = [
       "hf://RASPIAUDIO/F5-French-MixedSpeakers-reduced/model_last_reduced.pt",
       "hf://RASPIAUDIO/F5-French-MixedSpeakers-reduced/vocab.txt",
       json.dumps({"dim": 1024, "depth": 22, "heads": 16, "ff_mult": 2, "text_dim": 512, "text_mask_padding": False, "conv_layers": 4, "pe_attn_head": 1}),
   ]

2. Hindi:

   DEFAULT_TTS_MODEL_CFG = [
       "hf://SPRINGLab/F5-Hindi-24KHz/model_2500000.safetensors",
       "hf://SPRINGLab/F5-Hindi-24KHz/vocab.txt",
       json.dumps({"dim": 768, "depth": 18, "heads": 12, "ff_mult": 2, "text_dim": 512, "text_mask_padding": False, "conv_layers": 4, "pe_attn_head": 1})
   ]

3. Italian:

   DEFAULT_TTS_MODEL_CFG = [
       "hf://alien79/F5-TTS-italian/model_159600.safetensors",
       "hf://alien79/F5-TTS-italian/vocab.txt",
       json.dumps({"dim": 1024, "depth": 22, "heads": 16, "ff_mult": 2, "text_dim": 512, "text_mask_padding": False, "conv_layers": 4, "pe_attn_head": 1})
   ]

4. Japanese:

   DEFAULT_TTS_MODEL_CFG = [
       "hf://Jmica/F5TTS/JA_25498980/model_25498980.pt",
       "hf://Jmica/F5TTS/JA_25498980/vocab_updated.txt",
       json.dumps({"dim": 1024, "depth": 22, "heads": 16, "ff_mult": 2, "text_dim": 512, "text_mask_padding": False, "conv_layers": 4, "pe_attn_head": 1})
   ]

5. Russian:

   DEFAULT_TTS_MODEL_CFG = [
       "hf://hotstone228/F5-TTS-Russian/model_last.safetensors",
       "hf://hotstone228/F5-TTS-Russian/vocab.txt",
       json.dumps({"dim": 1024, "depth": 22, "heads": 16, "ff_mult": 2, "text_dim": 512, "text_mask_padding": False, "conv_layers": 4, "pe_attn_head": 1})
   ]

6. Spanish:

   DEFAULT_TTS_MODEL_CFG = [
       "hf://jpgallegoar/F5-Spanish/model_last.safetensors",
       "hf://jpgallegoar/F5-Spanish/vocab.txt",
       json.dumps({"dim": 1024, "depth": 22, "heads": 16, "ff_mult": 2, "text_dim": 512, "conv_layers": 4})
   ]

7. Finnish:

      DEFAULT_TTS_MODEL_CFG = [
       "hf://AsmoKoskinen/F5-TTS_Finnish_Model/model_common_voice_fi_vox_populi_fi_20241206.safetensors",
       "hf://AsmoKoskinen/F5-TTS_Finnish_Model/vocab.txt",
       json.dumps({"dim": 1024, "depth": 22, "heads": 16, "ff_mult": 2, "text_dim": 512, "text_mask_padding": False, "conv_layers": 4, "pe_attn_head": 1})]

Pay attention to official updates, other languages can be added in a similar way, address: https://github.com/SWivid/F5-TTS/blob/main/src/f5_tts/infer/SHARED.md

Common Mistakes and Precautions

1. During API usage, you can close the WebUI interface in the browser, but you cannot close the terminal window that started F5-TTS.

   

2. Can I dynamically switch models in F5-TTS? No. You need to manually modify the code in the way described above, and then restart the WebUI.

3. Frequently encountered this type of error

    raise ConnectTimeout(e, request=request)
requests.exceptions.ConnectTimeout: (MaxRetryError("HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /SWivid/F5-TTS/resolve/main/F5TTS_v1_Base/vocab.txt (Caused by ConnectTimeoutError(<urllib3.connection.HTTPSConnection object at 0x000002174796DF60>, 'Connection to huggingface.co timed out. (connect timeout=10)'))"), '(Request ID: 0458b571-90ab-4edd-ae59-b93bd603cdd0)')

VPN issue, please use scientific internet access and a smooth VPN, refer to the above to configure scientific internet access environment

4. How to prevent connecting to huggingface.co every time?

Please make sure you have successfully cloned at least once and the model has been downloaded Open F5-TTS root directory/src/f5_tts/infer/utils_infer.py

Search for snapshot_download, find the line of code as shown in the figure

Modify to

local_path = snapshot_download(repo_id="nvidia/bigvgan_v2_24khz_100band_256x", cache_dir=hf_cache_dir,local_files_only=True)

Then search for hf_hub_download, find the 2 lines of code as shown in the figure

Modify to

config_path = hf_hub_download(repo_id=repo_id, cache_dir=hf_cache_dir, filename="config.yaml",local_files_only=True)
            model_path = hf_hub_download(repo_id=repo_id, cache_dir=hf_cache_dir, filename="pytorch_model.bin",local_files_only=True)

In fact, a new parameter ,local_files_only=True has been added to the place where these 3 lines of code are called. Please make sure that the model has been downloaded to the local machine, otherwise an error that the model cannot be found will be reported

5. F5-TTS is normal after deployment, but pyVideotrans returns {detail:"Not found"} in the test

• Check whether other AI projects occupy the port. Generally, AI projects with interfaces use the gradio interface, and the default is 7860. Close the others and restart F5-TTS
• If pyVideotrans is deployed from source code, please execute pip install --upgrade gradio_client and then try again
• Restart F5-TTS, use the command f5-tts_infer-gradio --api to start