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from Liblib.LibLibGenerator import LibLibGenerator
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if __name__ == '__main__':
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# - Checkpoint默认为官方模型
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"""
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- Checkpoint默认为官方模型
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- 可用模型范围:基础算法F.1
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- 支持additional network
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"""
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generate_params = {
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"templateUuid": "6f7c4652458d4802969f8d089cf5b91f", # 参数模板ID F.1文生图
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"generateParams": {
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39
dsLightRag/Liblib/T4_WenShengTu_CustomCheckPoint.py
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dsLightRag/Liblib/T4_WenShengTu_CustomCheckPoint.py
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@@ -0,0 +1,39 @@
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from Liblib.LibLibGenerator import LibLibGenerator
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if __name__ == '__main__':
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generate_params = {
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"templateUuid": "e10adc3949ba59abbe56e057f20f883e",
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"generateParams": {
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"checkPointId": "0ea388c7eb854be3ba3c6f65aac6bfd3", # 底模 modelVersionUUID
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"prompt": "Asian portrait,A young woman wearing a green baseball cap,covering one eye with her hand", # 选填
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"negativePrompt": "ng_deepnegative_v1_75t,(badhandv4:1.2),EasyNegative,(worst quality:2),", #选填
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"sampler": 15, # 采样方法
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"steps": 20, # 采样步数
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"cfgScale": 7, # 提示词引导系数
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"width": 768, # 宽
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"height": 1024, # 高
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"imgCount": 1, # 图片数量
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"randnSource": 0, # 随机种子生成器 0 cpu,1 Gpu
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"seed": 2228967414, # 随机种子值,-1表示随机
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"restoreFaces": 0, # 面部修复,0关闭,1开启
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# 高分辨率修复
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"hiResFixInfo": {
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"hiresSteps": 20, # 高分辨率修复的重绘步数
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"hiresDenoisingStrength": 0.75, # 高分辨率修复的重绘幅度
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"upscaler": 10, # 放大算法模型枚举
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"resizedWidth": 1024, # 放大后的宽度
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"resizedHeight": 1536 # 放大后的高度
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}
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}
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}
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liblib = LibLibGenerator()
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# 调用生成接口
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response = liblib.post_request(
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"/api/generate/webui/text2img",
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generate_params
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)
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# {'generateUuid': 'f16463d55e144214ae12d5177f8256fc'}
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print(response)
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