This is an implementation of the ChatTTS as a Cog model.
First, download the pre-trained weights:
cog run script/download-weights
Then, you can run predictions:
cog predict -i text="Hello world" -i voice=2222 -i custom_voice=0 -i skip_refine=0 -i temperature=0.3 -i top_p=0.7 -i top_k=20 -i prompt=""
Parameters:
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| text | str |
Yes | - | The text to be synthesized into speech. |
| voice | int |
No | 2222 | A number that determines the voice tone. Options are 2222, 7869, 6653, 4099, 5099. You can choose one of these options, or pass in any number for random selection. |
| prompt | str |
No | Empty | This sets laughter, pauses, etc., for example, [oral_2][laugh_0][break_6]. |
| temperature | float |
No | 0.3 | Temperature value for sampling. |
| top_p | float |
No | 0.7 | Top p value for nucleus sampling. |
| top_k | int |
No | 20 | Top k value for top-k sampling. |
| skip_refine | int |
No | 0 | 1 means to skip text refining, 0 means not to skip. |
| custom_voice | int |
No | 0 | Seed value for custom voice tone generation, must be a positive integer. If set, it will take precedence and the voice parameter will be ignored. |
这是一个 ChatTTS 的 Cog 模型实现。
首先，下载预训练权重：
cog run script/download-weights
然后，你可以运行预测：
cog predict -i text="Hello world" -i voice=2222 -i custom_voice=0 -i skip_refine=0 -i temperature=0.3 -i top_p=0.7 -i top_k=20 -i prompt=""
参数说明：
| 参数名 | 类型 | 必填 | 默认值 | 描述 |
|---|---|---|---|---|
| text | str |
是 | - | 要合成为语音的文本。 |
| voice | int |
否 | 2222 | 用于确定声音音调的数字。选项有 2222、7869、6653、4099、5099。你可以选择其中一个选项，或者传递任何数字进行随机选择。 |
| prompt | str |
否 | 空 | 设置笑声、停顿等。例如，[oral_2][laugh_0][break_6]。 |
| temperature | float |
否 | 0.3 | 采样时的温度值。 |
| top_p | float |
否 | 0.7 | 核心采样的 top p 值。 |
| top_k | int |
否 | 20 | top-k 采样的 top k 值。 |
| skip_refine | int |
否 | 0 | 1 表示跳过文本精炼，0 表示不跳过。 |
| custom_voice | int |
否 | 0 | 用于定制声音音调生成的种子值，必须是正整数。如果设置了这个值，将优先使用，并忽略 voice 参数。 |