Are you sure you want to delete this task? Once this task is deleted, it cannot be recovered.
huolongshe ca7e9cbb66 | 2 months ago | |
---|---|---|
app | 11 months ago | |
docs | 11 months ago | |
.gitignore | 11 months ago | |
Dockerfile | 11 months ago | |
LICENSE | 11 months ago | |
README.md | 2 months ago | |
application.yml | 11 months ago | |
build-docker.sh | 11 months ago | |
pack_model.py | 11 months ago | |
pip-install-reqs.sh | 11 months ago | |
requirements.txt | 9 months ago | |
run_model_server.py | 11 months ago |
本模型封装自魔搭(ModelScope)社区项目: StyleGAN2人脸生成。输入随机种子,基于StyleGAN2人像生成模型,返回高清晰(分辨率为1024x1024)的人像图片。StyleGAN是图像生成领域的代表性工作,StyleGAN2在StyleGAN的基础上,采用Weight Demodulation取代AdaIN等改进极大的减少了water droplet artifacts等,生成结果有了质的提升,甚至能达到以假乱真的程度。本模型适用范围较广,给定任意的随机种子,就能生成一张高清晰度的人像图片。
https://modelscope.cn/models/damo/cv_gan_face-image-generation/summary
本模型基于 ServiceBoot微服务引擎 进行服务化封装,参见: 《CubeAI模型开发指南》
$ sh pip-install-reqs.sh
$ serviceboot start
或
$ python3 run_model_server.py
一键式本地容器化部署和运行,参见: 《CubeAI模型独立部署指南》 或 CubeAI Docker Builder
本模型服务可一键发布至 CubeAI智立方平台 进行共享和部署,参见: 《CubeAI模型发布指南》
本模型提供了1个API接口:
API接口1:
API端点: /api/data
HTTP方法: POST
HTTP请求体:
{
"action": "predict"
"args": {}
}
HTTP响应体:
{
"status": "ok"|"err",
"value": [], <图像的base64编码URL字符串>
}
No Description
Python Shell Text Dockerfile
Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》