The timbre stability

[smile-yushu]

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Cloud or Self Hosted

Self Hosted (Source)

Environment Details

Windows 3090Ti

Steps to Reproduce

By default, the model will only learn the speaker's speech patterns and not the timbre. You still need to use prompts to ensure timbre stability

python tools/llama/merge_lora.py \
    --lora-config r_8_alpha_16 \
    --base-weight checkpoints/fish-speech-1.5 \
    --lora-weight results/$project/checkpoints/step_000000010.ckpt \
    --output checkpoints/fish-speech-1.5-yth-lora/

What should I do now？

✔️ Expected Behavior

No response

❌ Actual Behavior

No response

[smile-yushu]

I used parameters, but for the same statement, the generated voice tone may not be completely the same, sometimes there may be deviations, even male or female voices

python -m tools.api_client --text "请问您期望的安装日期是几月几日，您可以说8月3日，温馨提示" --reference_audio "D:/AI/fish-speech/fish-speech-main/references/2月21日/2月21日.WAV" --reference_text "开工后这几天冷空气持续发力气温一天天下降今天清晨全区气温都是个位数" --streaming False --output D:/code/video\195567e5 --format wav