I'll have to change my scripts to do so. I will try to include this option in the next version

sent 613 bytes  received 12 bytes  1,250.00 bytes/sec
total size is 1,012,797  speedup is 1,620.48
removing folder /config/02-sd-webui/webui/embeddings and create symlink
moving folder /config/02-sd-webui/webui/models/ESRGAN to /config/models/upscale
sending incremental file list

sent 38 bytes  received 12 bytes  100.00 bytes/sec
total size is 0  speedup is 0.00
removing folder /config/02-sd-webui/webui/models/ESRGAN and create symlink
moving folder /config/02-sd-webui/webui/models/BLIP to /config/models/blip
sending incremental file list


According to the log output here, it seems that there is a problem: ESRGAN folder, it seems that there is a connection error here

At the same time, how to switch to the branch https://github.com/lllyasviel/stable-diffusion-webui-forge.git? I need to use the plugin https://github.com/lllyasviel/sd-forge-layerdiffuse

Is it possible to add 2 gpu's to one docker (SD)
I have two tesla p4's they are slow but it works (and i got them from work for free).

 

I wondered because the docker template states deviceS (NVIDIA_VISIBLE_DEVICES)

On 2024/8/12 at AM8点43分, mrguymiah said:

如果您不熟悉参数文件的位置，它位于您设置为 UI 路径的文件夹中。然后进入 Automatic1111 文件夹，您将在那里看到参数 txt 文件。

Have you successfully switched to Stable Diffusion with Flux support?

Had an issue with this container when attempting to use 02.forge UI. Getting the following error:

 

OperationalError: no such column: "size" - should this be a string literal in single-quotes?

 

Using information in this thread: https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/16856

I tried downgrading libsqlite to 3.48 and was able to resolve the error

 

for anyone who wants a fix until maintainer can update just edit this line in 02.forge.sh:

conda install -c conda-forge python=3.11 pip gcc gxx libcurand --solver=libmamba -y

to

conda install -c conda-forge python=3.11 libsqlite=3.48 pip gcc gxx libcurand --solver=libmamba -y

 

Then just reset the venv by deleting the file.

 

Thanks to the creator for putting this container together!

 

Edited March 9, 20251 yr by Akinwinz

Hey Guys,

 

short question how can i run  it unattended ? As soon as i close the WebUI the image generation stops.

 

Do not want to run my PC all the time while Easy Diffusion is running on the Unraid Server.

 

Any idea how to solve this ? Happens for with all the diffrent GUI's.

 

br

 

 

How do I fix "AssertionError: extension access disabled because of command line flags" when installing extensions? I've googled it and all I've found is remove flags, install extensions, and reapply flags... but how the hell do I do that?

Was all working great until I upgraded to 5090. Does anyone know how to update to CUDA 12.8 and compatible pytorch? Really don't want to go back to using on windows..

super newb but I keep getting this in the logs not sure what I can do.

/defaults/startwm.sh: line 10: /usr/bin/openbox-session: No such file or directory

/usr/bin/nvidia-smi

On 5/3/2025 at 7:14 AM, trigger112 said:

Was all working great until I upgraded to 5090. Does anyone know how to update to CUDA 12.8 and compatible pytorch? Really don't want to go back to using on windows..

TLDR: The underlying dependencies, such as Kaolin, do not yet support Pytorch 2.7 and Cuda 12.8. IE: They don't support 5000 series cards. I've been watching this for weeks now on their various issues pages to compile a new version of this software when that happens.

Anyone have any luck using with a RTX 5070ti? I get the pytorch error below in the logs but I'm new to unraid(1 month) and fairly new to dockers(<1yr) and not sure how to install the required updated components within the docker environment.

If you want to use the NVIDIA GeForce RTX 5070 Ti GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/

Is there a way to manage the size of this container? Mine went from already dominating my container list at ~13GB to filling up my (already expanded) docker.img during an update. I reinstalled the container, it went to ~21 GB and then settled down to 14.7 GB.

Is this an expected size for the container? Is there anything I can map from the container to the host?

I’m trying to run it with different frontends but everytime I’m getting this error in logs. Can you advise how to fix it?

/config/03-invokeai/env/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: NVIDIA GeForce RTX 5060 Ti with CUDA capability sm_120 is not compatible with the current PyTorch installation. The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90. If you want to use the NVIDIA GeForce RTX 5060 Ti GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/ warnings.warn( /config/03-invokeai/env/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: NVIDIA GeForce RTX 5060 Ti with CUDA capability sm_120 is not compatible with the current PyTorch installation. The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90. If you want to use the NVIDIA GeForce RTX 5060 Ti GPU with PyTorch, please check the instructions at https://pytorch.org/ge

On 6/21/2025 at 5:33 PM, seldmceen said:

Anyone have any luck using with a RTX 5070ti? I get the pytorch error below in the logs but I'm new to unraid(1 month) and fairly new to dockers(<1yr) and not sure how to install the required updated components within the docker environment.

If you want to use the NVIDIA GeForce RTX 5070 Ti GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/

yeah same :( It seems it’s not maintained anymore. 50* Nvidia are like one year old already.

so just wanted to ask before spending hours trying to figure out a work around, but it seems that my shiny new to me tesla p4 isnt supported by the version of pytorch used in this container... is there any way to down grade it or will that just be a huge bag of death due to dependencies and such?

On 4/22/2025 at 1:26 AM, BigDaddyDingDong said:

How do I fix "AssertionError: extension access disabled because of command line flags" when installing extensions? I've googled it and all I've found is remove flags, install extensions, and reapply flags... but how the hell do I do that?

On 4/22/2025 at 1:26 AM, BigDaddyDingDong said:

How do I fix "AssertionError: extension access disabled because of command line flags" when installing extensions? I've googled it and all I've found is remove flags, install extensions, and reapply flags... but how the hell do I do that?

Hi,

do you have solution for that?

Regards

Artur

Hi, Just curious, has anyone been able to get this container to work with an AMD GPU?

I have tried the ollama containers and got them to work but cannot get any of the SD containers to work.