run error

[martjay]

PS F:\AI\Bert-VITS\xtts_v2> Python app.py
Traceback (most recent call last):
File "F:\AI\Bert-VITS\xtts_v2\TTS\tts\models\xtts.py", line 759, in load_checkpoint
self.load_state_dict(checkpoint, strict=strict)
File "C:\Users\tianj\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 2152, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for Xtts:
size mismatch for gpt.text_embedding.weight: copying a param with shape torch.Size([6681, 1024]) from checkpoint, the shape in current model is torch.Size([6153, 1024]).
size mismatch for gpt.text_head.weight: copying a param with shape torch.Size([6681, 1024]) from checkpoint, the shape in current model is torch.Size([6153, 1024]).
size mismatch for gpt.text_head.bias: copying a param with shape torch.Size([6681]) from checkpoint, the shape in current model is torch.Size([6153]).

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "F:\AI\Bert-VITS\xtts_v2\app.py", line 2, in
import tts_v2
File "F:\AI\Bert-VITS\xtts_v2\tts_v2.py", line 10, in
model.load_checkpoint(config, checkpoint_dir="./source/model_V2/", eval=True)
File "F:\AI\Bert-VITS\xtts_v2\TTS\tts\models\xtts.py", line 763, in load_checkpoint
self.load_state_dict(checkpoint, strict=strict)
File "C:\Users\tianj\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 2152, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for Xtts:
Missing key(s) in state_dict: "gpt.gpt.wte.weight", "gpt.gpt_inference.transformer.h.0.ln_1.weight", "gpt.gpt_inference.transformer.h.0.ln_1.bias", "gpt.gpt_inference.transformer.h.0.attn.c_attn.weight", "gpt.gpt_inference.transformer.h.0.attn.c_attn.bias", "gpt.gpt_inference.transformer.h.0.attn.c_proj.weight", "gpt.gpt_inference.transformer.h.0.attn.c_proj.bias", "gpt.gpt_inference.transformer.h.0.ln_2.weight", "gpt.gpt_inference.transformer.h.0.ln_2.bias", "gpt.gpt_inference.transformer.h.0.mlp.c_fc.weight", "gpt.gpt_inference.transformer.h.0.mlp.c_fc.bias", "gpt.gpt_inference.transformer.h.0.mlp.c_proj.weight", "gpt.gpt_inference.transformer.h.0.mlp.c_proj.bias", "gpt.gpt_inference.transformer.h.1.ln_1.weight", "gpt.gpt_inference.transformer.h.1.ln_1.bias", "gpt.gpt_inference.transformer.h.1.attn.c_attn.weight", "gpt.gpt_inference.transformer.h.1.attn.c_attn.bias", "gpt.gpt_inference.transformer.h.1.attn.c_proj.weight", "gpt.gpt_inference.transformer.h.1.attn.c_proj.bias", 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size mismatch for gpt.text_embedding.weight: copying a param with shape torch.Size([6681, 1024]) from checkpoint, the shape in current model is torch.Size([6153, 1024]).
size mismatch for gpt.text_head.weight: copying a param with shape torch.Size([6681, 1024]) from checkpoint, the shape in current model is torch.Size([6153, 1024]).
size mismatch for gpt.text_head.bias: copying a param with shape torch.Size([6681]) from checkpoint, the shape in current model is torch.Size([6153]).

[douhaohaode]

我未遇到这个错误.
你可以尝试更新最新的代码, 然后把 /source/model_V2/ 文件夹里面的文件全部更换成最新的

文件获取地址: https://huggingface.co/coqui/XTTS-v2/tree/main

[martjay]

PS F:\AI\Bert-VITS\xtts_v2> Python app.py
F:\AI\Bert-VITS\xtts_v2\TTS\api.py:77: UserWarning: gpu will be deprecated. Please use tts.to(device) instead.
warnings.warn("gpu will be deprecated. Please use tts.to(device) instead.")

tts_models/multilingual/multi-dataset/xtts_v2 is already downloaded.
Using model: xtts
Traceback (most recent call last):
File "F:\AI\Bert-VITS\xtts_v2\TTS\tts\models\xtts.py", line 764, in load_checkpoint
self.load_state_dict(checkpoint, strict=strict)
File "C:\Users\tianj\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 2152, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for Xtts:
size mismatch for gpt.text_embedding.weight: copying a param with shape torch.Size([6681, 1024]) from checkpoint, the shape in current model is torch.Size([6153, 1024]).
size mismatch for gpt.text_head.weight: copying a param with shape torch.Size([6681, 1024]) from checkpoint, the shape in current model is torch.Size([6153, 1024]).
size mismatch for gpt.text_head.bias: copying a param with shape torch.Size([6681]) from checkpoint, the shape in current model is torch.Size([6153]).

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "F:\AI\Bert-VITS\xtts_v2\app.py", line 3, in
import tts_v2_api
File "F:\AI\Bert-VITS\xtts_v2\tts_v2_api.py", line 5, in
tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2", gpu=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\AI\Bert-VITS\xtts_v2\TTS\api.py", line 81, in init
self.load_tts_model_by_name(model_name, gpu)
File "F:\AI\Bert-VITS\xtts_v2\TTS\api.py", line 201, in load_tts_model_by_name
self.synthesizer = Synthesizer(
^^^^^^^^^^^^
File "F:\AI\Bert-VITS\xtts_v2\TTS\utils\synthesizer.py", line 109, in init
self._load_tts_from_dir(model_dir, use_cuda)
File "F:\AI\Bert-VITS\xtts_v2\TTS\utils\synthesizer.py", line 164, in _load_tts_from_dir
self.tts_model.load_checkpoint(config, checkpoint_dir=model_dir, eval=True)
File "F:\AI\Bert-VITS\xtts_v2\TTS\tts\models\xtts.py", line 768, in load_checkpoint
self.load_state_dict(checkpoint, strict=strict)
File "C:\Users\tianj\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 2152, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for Xtts:
Missing key(s) in state_dict: "gpt.gpt.wte.weight", "gpt.gpt_inference.transformer.h.0.ln_1.weight", "gpt.gpt_inference.transformer.h.0.ln_1.bias", "gpt.gpt_inference.transformer.h.0.attn.c_attn.weight", "gpt.gpt_inference.transformer.h.0.attn.c_attn.bias", "gpt.gpt_inference.transformer.h.0.attn.c_proj.weight", "gpt.gpt_inference.transformer.h.0.attn.c_proj.bias", "gpt.gpt_inference.transformer.h.0.ln_2.weight", "gpt.gpt_inference.transformer.h.0.ln_2.bias", "gpt.gpt_inference.transformer.h.0.mlp.c_fc.weight", "gpt.gpt_inference.transformer.h.0.mlp.c_fc.bias", "gpt.gpt_inference.transformer.h.0.mlp.c_proj.weight", "gpt.gpt_inference.transformer.h.0.mlp.c_proj.bias", "gpt.gpt_inference.transformer.h.1.ln_1.weight", "gpt.gpt_inference.transformer.h.1.ln_1.bias", "gpt.gpt_inference.transformer.h.1.attn.c_attn.weight", "gpt.gpt_inference.transformer.h.1.attn.c_attn.bias", "gpt.gpt_inference.transformer.h.1.attn.c_proj.weight", "gpt.gpt_inference.transformer.h.1.attn.c_proj.bias", 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size mismatch for gpt.text_embedding.weight: copying a param with shape torch.Size([6681, 1024]) from checkpoint, the shape in current model is torch.Size([6153, 1024]).
size mismatch for gpt.text_head.weight: copying a param with shape torch.Size([6681, 1024]) from checkpoint, the shape in current model is torch.Size([6153, 1024]).
size mismatch for gpt.text_head.bias: copying a param with shape torch.Size([6681]) from checkpoint, the shape in current model is torch.Size([6153]).

[douhaohaode]

尝试 pip install -U transformers 升级引用的transformers呢。

[martjay]

尝试 pip install -U transformers 升级引用的transformers呢。

一样的 我无语了，实在找不到问题在哪里，另外问下，cmd下载大模型老是中断，有没有办法解决

[douhaohaode]

实在不行可以把api引用的相关方法都注释， 跑本地的模型吧 ！ 我没用过cmd下载过模型，如果老断线，考虑vpn换个节点路线尝试一下或者尝试换个vpn吧

[martjay]

实在不行可以把api引用的相关方法都注释， 跑本地的模型吧 ！ 我没用过cmd下载过模型，如果老断线，考虑vpn换个节点路线尝试一下或者尝试换个vpn吧

哎，不能体验这个AI 了

[douhaohaode]

实在不行可以把api引用的相关方法都注释， 跑本地的模型吧 ！ 我没用过cmd下载过模型，如果老断线，考虑vpn换个节点路线尝试一下或者尝试换个vpn吧

哎，不能体验这个AI 了

体验别的吧 它也不是特别的惊艳

[Ankh-L]

实在不行可以把api引用的相关方法都注释， 跑本地的模型吧 ！ 我没用过cmd下载过模型，如果老断线，考虑vpn换个节点路线尝试一下或者尝试换个vpn吧

哎，不能体验这个AI 了

体验别的吧 它也不是特别的惊艳

请问还有其他的开源适合商用的tts吗？另外语速调整是怎么实现的牙？

[douhaohaode]

实在不行可以把api引用的相关方法都注释， 跑本地的模型吧 ！ 我没用过cmd下载过模型，如果老断线，考虑vpn换个节点路线尝试一下或者尝试换个vpn吧

哎，不能体验这个AI 了

体验别的吧 它也不是特别的惊艳

请问还有其他的开源适合商用的tts吗？另外语速调整是怎么实现的牙？

fish-speech 拿去