加载自己的GPT-SoVITS模型失败

[levin-go]

使用的是GPT-SoVITS V2，加载模型报错如下，求指导，谢谢！

模型加载中... /root/Linly-Talker/GPT_SoVITS/pretrained_models/zhiqiang2-e15.ckpt /root/Linly-Talker/GPT_SoVITS/pretrained_models/zhiqiang2_e8_s72.pth
Number of parameter: 77.61M
Traceback (most recent call last):
  File "/root/miniconda3/lib/python3.8/site-packages/gradio/queueing.py", line 495, in call_prediction
    output = await route_utils.call_process_api(
  File "/root/miniconda3/lib/python3.8/site-packages/gradio/route_utils.py", line 232, in call_process_api
    output = await app.get_blocks().process_api(
  File "/root/miniconda3/lib/python3.8/site-packages/gradio/blocks.py", line 1561, in process_api
    result = await self.call_function(
  File "/root/miniconda3/lib/python3.8/site-packages/gradio/blocks.py", line 1179, in call_function
    prediction = await anyio.to_thread.run_sync(
  File "/root/miniconda3/lib/python3.8/site-packages/anyio/to_thread.py", line 31, in run_sync
    return await get_asynclib().run_sync_in_worker_thread(
  File "/root/miniconda3/lib/python3.8/site-packages/anyio/_backends/_asyncio.py", line 937, in run_sync_in_worker_thread
    return await future
  File "/root/miniconda3/lib/python3.8/site-packages/anyio/_backends/_asyncio.py", line 867, in run
    result = context.run(func, *args)
  File "/root/miniconda3/lib/python3.8/site-packages/gradio/utils.py", line 695, in wrapper
    response = f(*args, **kwargs)
  File "/root/miniconda3/lib/python3.8/site-packages/gradio/utils.py", line 695, in wrapper
    response = f(*args, **kwargs)
  File "webui.py", line 375, in load_vits_model
    vits.load_model(all_gpt_path, all_sovits_path)
  File "/root/Linly-Talker/VITS/GPT_SoVITS.py", line 358, in load_model
    print(self.vq_model.load_state_dict(dict_s2["weight"], strict=False))
  File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 2041, in load_state_dict
    raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for SynthesizerTrn:
        size mismatch for enc_p.text_embedding.weight: copying a param with shape torch.Size([732, 192]) from checkpoint, the shape in current model is torch.Size([322, 192]).
        size mismatch for ref_enc.spectral.0.fc.weight: copying a param with shape torch.Size([128, 704]) from checkpoint, the shape in current model is torch.Size([128, 1025]).

[Kedreamix]

非常感谢你的关注，可能是我最近还未更新v2的方法，所以我会快速看看v2的能力以及对其进行更新和适配