update README.md for v1.0.0

README.md

@@ -159,9 +159,8 @@ volumes:
 ```bash
 # Run with flags
 # Leave --ref_text "" will have ASR model transcribe (extra GPU memory usage)
-f5-tts_infer-cli \
---model "F5-TTS_v1" \
---ref_audio "ref_audio.wav" \
+f5-tts_infer-cli --model F5TTS_v1_Base \
+--ref_audio "provide_prompt_wav_path_here.wav" \
 --ref_text "The content, subtitle or transcription of reference audio." \
 --gen_text "Some text you want TTS model generate for you."
 
@@ -182,15 +181,19 @@ f5-tts_infer-cli -c src/f5_tts/infer/examples/multi/story.toml
 
 ## Training
 
-### 1. Gradio App
+### 1. With Hugging Face Accelerate
 
-Read [training & finetuning guidance](src/f5_tts/train) for more instructions.
+Refer to [training & finetuning guidance](src/f5_tts/train) for best practice.
+
+### 2. With Gradio App
 
 ```bash
 # Quick start with Gradio web interface
 f5-tts_finetune-gradio
 ```
 
+Read [training & finetuning guidance](src/f5_tts/train) for more instructions.
+
 
 ## [Evaluation](src/f5_tts/eval)
 

src/f5_tts/infer/README.md

@@ -77,7 +77,7 @@ f5-tts_infer-cli \
 f5-tts_infer-cli --model F5TTS_Base --vocoder_name bigvgan --load_vocoder_from_local
 
 # Use custom path checkpoint, e.g.
-f5-tts_infer-cli --ckpt_file ckpts/F5TTS_Base/model_1200000.safetensors
+f5-tts_infer-cli --ckpt_file ckpts/F5TTS_v1_Base/model_1250000.safetensors
 
 # More instructions
 f5-tts_infer-cli --help

src/f5_tts/train/README.md

@@ -40,10 +40,10 @@ Once your datasets are prepared, you can start the training process.
 accelerate config
 
 # .yaml files are under src/f5_tts/configs directory
-accelerate launch src/f5_tts/train/train.py --config-name F5TTS_v1_Base_train.yaml
+accelerate launch src/f5_tts/train/train.py --config-name F5TTS_v1_Base.yaml
 
 # possible to overwrite accelerate and hydra config
-accelerate launch --mixed_precision=fp16 src/f5_tts/train/train.py --config-name F5TTS_v1_Base_train.yaml ++datasets.batch_size_per_gpu=19200
+accelerate launch --mixed_precision=fp16 src/f5_tts/train/train.py --config-name F5TTS_v1_Base.yaml ++datasets.batch_size_per_gpu=19200
 ```
 
 ### 2. Finetuning practice