Lora 模型
开发环境
https://stablediffusionapi.com/v1
开发环境
https://stablediffusionapi.com/v1
POST
https://stablediffusionapi.com/api/v3/lora_fine_tune
训练类型
training_type参数的所有可能值。| 价值 | 描述 |
|---|---|
| men | 在男人的脸上进行训练。 |
| femal | 在女性脸上进行训练。 |
| couple | 对男女情侣进行训练；在图像数组中传递情侣的图像，而不是单个人的图像。 |
| null | 在物体或任何东西上进行训练。 |
Webhook 发布JSON
{
"status": "success",
"training_status": "deploying_gpu",
"logs": "it will take upto 25 minutes",
"model_id": "F5jvdzGnYi",
}训练状态值
| 地位 | 描述 |
|---|---|
| deploying_gpu | 部署GPU |
| training_started | 培训开始 |
| training_success | 培训顺利完成 |
| trained_model_compressing | 压缩训练好的模型 |
| trained_model_uploading | 上传训练好的模型 |
| trained_model_uploaded | 训练好的模型已上传 |
| deploying_model | 部署经过训练的模型 |
| model_ready | 训练好的模型可供使用 |
请求示例请求示例
Shell
JavaScript
Java
Swift
curl --location --request POST 'https://stablediffusionapi.com/api/v3/lora_fine_tune' \
--header 'Content-Type: application/json' \
--data-raw '{
"key":"",
"instance_prompt": "photo of ambika0 man",
"class_prompt": "photo of a man",
"base_model_type": "sdxl",
"negative_prompt":" lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry",
"images": [
"https://raw.githubusercontent.com/pnavitha/sampleImages/master/1.png",
"https://raw.githubusercontent.com/pnavitha/sampleImages/master/2.png",
"https://raw.githubusercontent.com/pnavitha/sampleImages/master/3.png",
"https://raw.githubusercontent.com/pnavitha/sampleImages/master/4.png",
"https://raw.githubusercontent.com/pnavitha/sampleImages/master/5.png",
"https://raw.githubusercontent.com/pnavitha/sampleImages/master/6.png",
"https://raw.githubusercontent.com/pnavitha/sampleImages/master/7.png",
"https://raw.githubusercontent.com/pnavitha/sampleImages/master/8.png",
"https://raw.githubusercontent.com/pnavitha/sampleImages/master/9.png"
],
"seed": "0",
"training_type": "men",
"max_train_steps": "2",
"lora_type":"lora",
"webhook": null
}'响应示例响应示例
{
"status": "success",
"messege": "deploying_gpu",
"data": "it will take upto 30 minutes.",
"training_id": "F5jvdzGnYi"
}请求参数
Body 参数application/json
返回响应
修改于 2023-10-30 03:42:54