40 lines
1.6 KiB
Python
40 lines
1.6 KiB
Python
from Liblib.LibLibGenerator import LibLibGenerator
|
||
|
||
if __name__ == '__main__':
|
||
generate_params = {
|
||
"templateUuid": "e10adc3949ba59abbe56e057f20f883e",
|
||
"generateParams": {
|
||
"checkPointId": "0ea388c7eb854be3ba3c6f65aac6bfd3", # 底模 modelVersionUUID
|
||
"prompt": "Asian portrait,A young woman wearing a green baseball cap,covering one eye with her hand", # 选填
|
||
"negativePrompt": "ng_deepnegative_v1_75t,(badhandv4:1.2),EasyNegative,(worst quality:2),", #选填
|
||
"sampler": 15, # 采样方法
|
||
"steps": 20, # 采样步数
|
||
"cfgScale": 7, # 提示词引导系数
|
||
"width": 768, # 宽
|
||
"height": 1024, # 高
|
||
"imgCount": 1, # 图片数量
|
||
"randnSource": 0, # 随机种子生成器 0 cpu,1 Gpu
|
||
"seed": 2228967414, # 随机种子值,-1表示随机
|
||
"restoreFaces": 0, # 面部修复,0关闭,1开启
|
||
|
||
# 高分辨率修复
|
||
"hiResFixInfo": {
|
||
"hiresSteps": 20, # 高分辨率修复的重绘步数
|
||
"hiresDenoisingStrength": 0.75, # 高分辨率修复的重绘幅度
|
||
"upscaler": 10, # 放大算法模型枚举
|
||
"resizedWidth": 1024, # 放大后的宽度
|
||
"resizedHeight": 1536 # 放大后的高度
|
||
}
|
||
}
|
||
}
|
||
|
||
liblib = LibLibGenerator()
|
||
|
||
# 调用生成接口
|
||
response = liblib.post_request(
|
||
"/api/generate/webui/text2img",
|
||
generate_params
|
||
)
|
||
# {'generateUuid': 'f16463d55e144214ae12d5177f8256fc'}
|
||
print(response)
|