tmappdev
/
cosy_voice_cloner
- Public
- 52 runs
Run tmappdev/cosy_voice_cloner with an API
Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.
Input schema
The fields you can use to run this model with an API. If you don't give a value for a field its default value will be used.
| Field | Type | Default value | Description |
|---|---|---|---|
| ref_audio |
string
|
Reference audio file (3-10 seconds)
|
|
| prompt_text |
string
|
|
Text of the reference audio (optional)
|
| prompt_language |
string
(enum)
|
粤语
Options: 中文, 英文, 日文, 粤语, 韩文, 中英混合, 日英混合, 粤英混合, 韩英混合, 多语种混合, 多语种混合(粤语) |
Language of reference audio
|
| text |
string
|
Text to synthesize
|
|
| text_language |
string
(enum)
|
粤语
Options: 中文, 英文, 日文, 粤语, 韩文, 中英混合, 日英混合, 粤英混合, 韩英混合, 多语种混合, 多语种混合(粤语) |
Language of the text to synthesize
|
| how_to_cut |
string
(enum)
|
按标点符号切
Options: 不切, 凑四句一切, 凑50字一切, 按中文句号。切, 按英文句号.切, 按标点符号切 |
How to split text
|
| top_k |
integer
|
15
Min: 1 Max: 100 |
GPT top_k parameter
|
| top_p |
number
|
1
Max: 1 |
GPT top_p parameter
|
| temperature |
number
|
1
Max: 1 |
GPT temperature parameter
|
| ref_free |
boolean
|
False
|
Enable reference-free mode
|
| speed |
number
|
1
Min: 0.6 Max: 1.65 |
Speech speed adjustment
|
| reference_files |
array
|
Optional additional reference files to blend
|
{
"type": "object",
"title": "Input",
"required": [
"ref_audio",
"text"
],
"properties": {
"text": {
"type": "string",
"title": "Text",
"x-order": 3,
"description": "Text to synthesize"
},
"speed": {
"type": "number",
"title": "Speed",
"default": 1,
"maximum": 1.65,
"minimum": 0.6,
"x-order": 10,
"description": "Speech speed adjustment"
},
"top_k": {
"type": "integer",
"title": "Top K",
"default": 15,
"maximum": 100,
"minimum": 1,
"x-order": 6,
"description": "GPT top_k parameter"
},
"top_p": {
"type": "number",
"title": "Top P",
"default": 1,
"maximum": 1,
"minimum": 0,
"x-order": 7,
"description": "GPT top_p parameter"
},
"ref_free": {
"type": "boolean",
"title": "Ref Free",
"default": false,
"x-order": 9,
"description": "Enable reference-free mode"
},
"ref_audio": {
"type": "string",
"title": "Ref Audio",
"format": "uri",
"x-order": 0,
"description": "Reference audio file (3-10 seconds)"
},
"how_to_cut": {
"enum": [
"\u4e0d\u5207",
"\u51d1\u56db\u53e5\u4e00\u5207",
"\u51d150\u5b57\u4e00\u5207",
"\u6309\u4e2d\u6587\u53e5\u53f7\u3002\u5207",
"\u6309\u82f1\u6587\u53e5\u53f7.\u5207",
"\u6309\u6807\u70b9\u7b26\u53f7\u5207"
],
"type": "string",
"title": "how_to_cut",
"description": "How to split text",
"default": "\u6309\u6807\u70b9\u7b26\u53f7\u5207",
"x-order": 5
},
"prompt_text": {
"type": "string",
"title": "Prompt Text",
"default": "",
"x-order": 1,
"description": "Text of the reference audio (optional)"
},
"temperature": {
"type": "number",
"title": "Temperature",
"default": 1,
"maximum": 1,
"minimum": 0,
"x-order": 8,
"description": "GPT temperature parameter"
},
"text_language": {
"enum": [
"\u4e2d\u6587",
"\u82f1\u6587",
"\u65e5\u6587",
"\u7ca4\u8bed",
"\u97e9\u6587",
"\u4e2d\u82f1\u6df7\u5408",
"\u65e5\u82f1\u6df7\u5408",
"\u7ca4\u82f1\u6df7\u5408",
"\u97e9\u82f1\u6df7\u5408",
"\u591a\u8bed\u79cd\u6df7\u5408",
"\u591a\u8bed\u79cd\u6df7\u5408(\u7ca4\u8bed)"
],
"type": "string",
"title": "text_language",
"description": "Language of the text to synthesize",
"default": "\u7ca4\u8bed",
"x-order": 4
},
"prompt_language": {
"enum": [
"\u4e2d\u6587",
"\u82f1\u6587",
"\u65e5\u6587",
"\u7ca4\u8bed",
"\u97e9\u6587",
"\u4e2d\u82f1\u6df7\u5408",
"\u65e5\u82f1\u6df7\u5408",
"\u7ca4\u82f1\u6df7\u5408",
"\u97e9\u82f1\u6df7\u5408",
"\u591a\u8bed\u79cd\u6df7\u5408",
"\u591a\u8bed\u79cd\u6df7\u5408(\u7ca4\u8bed)"
],
"type": "string",
"title": "prompt_language",
"description": "Language of reference audio",
"default": "\u7ca4\u8bed",
"x-order": 2
},
"reference_files": {
"type": "array",
"items": {
"type": "string",
"format": "uri"
},
"title": "Reference Files",
"x-order": 11,
"description": "Optional additional reference files to blend"
}
}
}
Output schema
The shape of the response you’ll get when you run this model with an API.
{
"type": "string",
"title": "Output",
"format": "uri"
}