[Guide] InvokeAI: A Stable Diffusion Toolkit - Docker

[GnaXi]

5 minutes ago, mickr777 said:

Ok, try replacing the invokeai.yaml under userfiles with this file

invokeai.yaml 151 B · 0 downloads

I tried this, but issue still remains the same.

The userfiles is located in a separate share, as I do not want to fill up appdata with the images.

It's mounted under: /mnt/user/ai_images/

And the owner for this share is the same as the other folders:

[mickr777]

21 minutes ago, GnaXi said:

I tried this, but issue still remains the same.

The userfiles is located in a separate share, as I do not want to fill up appdata with the images.

It's mounted under: /mnt/user/ai_images/

And the owner for this share is the same as the other folders:

that should be fine as my userfiles are on the array, not in appdata

Edited May 29 by mickr777

[GnaXi]

2 hours ago, mickr777 said:

that should be fine as my userfiles are on the array, not in appdata

Then I'm still puzzled by what could be causing the issue

[mickr777]

9 hours ago, GnaXi said:

Then I'm still puzzled by what could be causing the issue

So am I maybe just as test set it back to a empty userfiles under appdata, see if it still does it

[GnaXi]

On 5/30/2024 at 12:08 AM, mickr777 said:

So am I maybe just as test set it back to a empty userfiles under appdata, see if it still does it

That did the trick! There must have been something in my userfiles that the latest version didn't like. Thanks!

[luisalrp]

Hey @mickr777,

 

Any plans to do the same for the training repo? https://github.com/invoke-ai/invoke-training

 

Also, you should promote the InvokeAi to a Community App. It is an awesome tools and Image and Template are mature enough. It is really helpful 

 

Thanks!

[mickr777]

21 hours ago, luisalrp said:

Hey @mickr777,

 

Any plans to do the same for the training repo? https://github.com/invoke-ai/invoke-training

 

Also, you should promote the InvokeAi to a Community App. It is an awesome tools and Image and Template are mature enough. It is really helpful 

 

Thanks!

 

Ok made it for the training ui, port 1234 is the training ui, port 2345 is the tensorboard ui to watch progress of training

my-Invoke-training.xml

 

Edited June 1 by mickr777