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JunJun-Liu
44e20808c7
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7 months ago | |
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| ScienceChina-data | 7 months ago | |
| configs | 8 months ago | |
| demo | 9 months ago | |
| ldm | 7 months ago | |
| mindpet | 8 months ago | |
| readme | 8 months ago | |
| scripts | 8 months ago | |
| README.md | 8 months ago | |
| README_EN.md | 9 months ago | |
| inference-qizhi.py | 8 months ago | |
| inpaint.py | 9 months ago | |
| openi.py | 9 months ago | |
| requirements.txt | 9 months ago | |
| run_db_train.py | 9 months ago | |
| run_train.py | 9 months ago | |
| train-qizhi-lora.py | 8 months ago | |
| train-qizhi.py | 8 months ago | |
| train-zhisuan.py | 7 months ago | |
| train.py | 9 months ago | |
| txt2img-zhisuan.py | 7 months ago | |
| txt2img.py | 7 months ago | |
README.md
悟空画画微调比赛--复现说明
Let's Get Started
首先基于原始悟空画画代码微调仓库，作为下述所有复现步骤的基础。
链接：https://github.com/mindspore-lab/minddiffusion/tree/main/vision/wukong-huahua
复现流程
fork本仓库，并创建一个调试任务，环境选择如下：
新建之后，上传本仓库的代码文件。
上传完成后，解压zip数据集的包：
我们按照个性化微调的步骤，复现自定义的主题（比赛主题）：科幻中国
执行bash scripts/run_db_train.sh，训练个性化微调后的自定义模型权重文件，效果如下：
如果训练正常，log_tain文件应该如下所示：
再执行bash scripts/run_txt2img.sh，结合自定义的数据集，推理出符合比赛题意的照片：
悟空画画微调
Python Text Markdown Shell Unity3D Asset
