Aaron Yi

@AUTOMATIC1111 would you help to check and kindly give me your feedback? we are current using workaround mentioned to pass local settings to the cloud, which is error prone and...

@AUTOMATIC1111 The modification is directly to ui.py not external extension, `loadsave` will be used to read all fields, then `with open(ui_config_file, "w", encoding="utf8") as file:` will write those fields to...

@AUTOMATIC1111 feature to save setting is mainly for user to migrate existing workload from local or standalone server to cloud (AWS SageMaker), including checkpoint merge, model training, txt2img/img2img inferencing etc....

Brief user tutorial: User will first install the extension, extra tab will be installed for user to manager AWS credential, building SD model etc. then user will navigate to original...

There are two parts, one is extension for AWS SageMaker that is developed in separate repo, as mock UI shown, PR raised is just to add "Save Setting" button in...

> This is being added to the main repository. Nothing you described and demonstrated in screenshots is present in the main repository. What does the button do for the webui...

@AUTOMATIC1111 So Is there a common data structure/class for us to iterate all setting values in txt2img, img2img, checkpoint merge and training tab, Or we can only assign each specific...

@AUTOMATIC1111 would you please help to review since we plan to submit an extension allowing user to use cloud resource to accelerate train & inference process. There can be several...

It seems networking issue judging by the description and more info are needed for VPC/S3 configuration, e.g. can the VPC access the external network, is S3 private or public, any...

Would you help to clarify the detailed connection string and where such error message prompt? It seems that some java execution required, which is not required in Athena connection nor...