Closed Plutov23 closed 8 months ago
easyphoto使用sdwebui的解释器以及依赖包, 新版的sdwebui使用的numpy是1.26版本,numpy1.19之后没有了numpy.int easyphoto开发时使用的应该是1.19以下的numpy所以会冲突 所以用旧版本的sdwebui应该好使,要么就把easyphoto源码中更新的地方改正
下面是机翻英语: easyphoto use sdwebui interpreter and dependency packages, the new version of sdwebui using numpy is version 1.26, numpy 1.19 after the numpy.int easyphoto development should be 1.19 below the numpy so there will be a conflict, so with the old version of sdwebui should be good to use! So use the old version of sdwebui and it should work fine, or correct the updates in the easyphoto source code.
所以easyphoto源码中更新的地方,做什么样的改正呢,求大佬指教
So, what kind of corrections should be made to the updated parts in the easyphoto source code? Please seek guidance from the experts
所以easyphoto源码中更新的地方,做什么样的改正呢,求大佬指教
So, what kind of corrections should be made to the updated parts in the easyphoto source code? Please seek guidance from the experts
其实按照上面的说法,我在秋叶的启动器那里把版本内核更换到1.6就可以解决问题了
easyphoto使用sdwebui的解释器以及依赖包, 新版的sdwebui使用的numpy是1.26版本,numpy1.19之后没有了numpy.int easyphoto开发时使用的应该是1.19以下的numpy所以会冲突 所以用旧版本的sdwebui应该好使,要么就把easyphoto源码中更新的地方改正
下面是机翻英语: easyphoto use sdwebui interpreter and dependency packages, the new version of sdwebui using numpy is version 1.26, numpy 1.19 after the numpy.int easyphoto development should be 1.19 below the numpy so there will be a conflict, so with the old version of sdwebui should be good to use! So use the old version of sdwebui and it should work fine, or correct the updates in the easyphoto source code.
感谢大佬
所以easyphoto源码中更新的地方,做什么样的改正呢,求大佬指教
So, what kind of corrections should be made to the updated parts in the easyphoto source code? Please seek guidance from the experts
我只用了人脸lora推理模版图片的功能 sd-webui-EasyPhoto\scripts\easyphoto_infer.py这里面有四处np.int改成np.int32,你可以查找“np.int)” 就能找到这四处 改了这个应该就能使用推理模版图片,其他我还没试,改完之后也能适配新版的webui-forge了,很不错爆显存卡死都能给我推出来
Fixed by #397. Please upgrade to the latest version.
Template 1 error: Error info is module 'numpy' has no attribute 'int'.
np.int
was a deprecated alias for the builtinint
. To avoid this error in existing code, useint
by itself. Doing this will not modify any behavior and is safe. When replacingnp.int
, you may wish to use e.g.np.int64
ornp.int32
to specify the precision. If you wish to review your current use, check the release note link for additional information. The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations.