Enhance README with features and usage examples

Expanded README with detailed features, usage instructions, and FAQs.

README.md

@@ -1,23 +1,95 @@
-Simple installation:
+# LuxTTS
+LuxTTS is an lightweight zipvoice based text-to-speech model designed for high quality voice cloning and realistic generation at speeds exceeding 150x realtime.
+
+https://github.com/user-attachments/assets/a3b57152-8d97-43ce-bd99-26dc9a145c29
+
+
+### The main features are
+- Voice cloning: SOTA voice cloning on par with models 10x larger.
+- Clarity: Clear 48khz speech generation unlike most TTS models which are limited to 24khz.
+- Speed: Reaches speeds of 150x realtime on a single GPU and faster then realtime on CPU's as well.
+- Efficiency: Fits within 1gb vram meaning it can fit in any local gpu.
+
+## Usage
+
+#### Simple installation:
 ```
 git clone https://github.com/ysharma3501/LuxTTS.git
 cd LuxTTS
 pip install -r requirements.txt
 ```
 
-Usage:
+#### Load model:
 ```python
 from zipvoice.luxtts import LuxTTS
-lux_tts = LuxTTS('YatharthS/LuxTTS', device='cuda') ## change device to cpu for cpu usage
+lux_tts = LuxTTS('YatharthS/LuxTTS', device='cuda', threads=2) ## change device to cpu for cpu usage
 ```
 
-Infer:
+#### Simple inference
 ```python
-text = "Hey, what's up loser? I think you should shut up? You have NO dignity either way, ugh!"
-prompt_audio = '/kaggle/input/voices/ElevenLabs_2025-11-02T22_31_30_Jessica_pre_sp100_s35_sb80_v3.mp3'
+from IPython.display import Audio
 
-encoded_prompt = lux_tts.encode_prompt(prompt_audio, rms=0.001)
-final_wav = lux_tts.generate_speech(text, encoded_prompt, num_steps=4, t_shift=0.9)
+text = "Hey, what's up? I'm feeling really great if you ask me honestly!"
+prompt_audio = 'audio_file.wav'
 
+## encode audio(takes 10s to init because of librosa first time)
+encoded_prompt = lux_tts.encode_prompt(prompt_audio, rms=rms)
+
+## generate speech
+final_wav = lux_tts.generate_speech(text, encoded_prompt, num_steps=num_steps)
+
+## display speech
 display(Audio(final_wav, rate=48000))
 ```
+
+#### Inference with sampling params:
+```python
+from IPython.display import Audio
+
+text = "Hey, what's up? I'm feeling really great if you ask me honestly!"
+prompt_audio = 'audio_file.wav'
+
+rms = 0.01 ## higher makes it sound louder(0.01 or so recommended)
+t_shift = 0.9 ## sampling param, higher can sound better but worse WER
+num_steps = 4 ## sampling param, higher sounds better but takes longer(3-4 is best for efficiency)
+speed = 1.0 ## sampling param, controls speed of audio(lower=faster)
+return_smooth = False ## sampling param, makes it sound smoother possibly but less cleaner
+
+## encode audio(takes 10s to init because of librosa first time)
+encoded_prompt = lux_tts.encode_prompt(prompt_audio, rms=rms)
+
+## generate speech
+final_wav = lux_tts.generate_speech(text, encoded_prompt, num_steps=num_steps, t_shift=t_shift, speed=speed, return_smooth=return_smooth)
+
+## display speech
+display(Audio(final_wav, rate=48000))
+```
+## Tips
+- Please use at minimum a 3 second audio file for voice cloning.
+- You can use return_smooth = True if you hear metallic sounds.
+- Lower t_shift for less possible pronunciation errors but worse quality and vice versa.
+
+  
+## Info
+
+Q: How is this different from ZipVoice?
+
+A: LuxTTS uses the same architecture but distilled to 4 steps with an improved sampling technique. It also uses a custom 48khz vocoder instead of the default 24khz version.
+
+Q: Can it be even faster?
+
+A: Yes, currently it uses float32. Float16 should be significantly faster(almost 2x).
+
+## Roadmap
+
+- [x] Release model and code
+- [ ] Huggingface spaces demo
+- [ ] Release code for float16 inference
+      
+## Final Notes
+
+This project is licensed under the Apache-2.0 license. See LICENSE for details.
+
+Stars/Likes would be appreciated, thank you.
+
+Email: yatharthsharma350@gmail.com