Installing Stable Diffusion with OpenWebUI, Python, and NVIDIA CUDA

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Created: 2025-11-12T11:23:31-08:00
Updated: 2025-11-18T11:22:53-08:00
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Conversation

Darren — 2025-11-12T11:23:30-08:00

https://anykeycafe.com/wp-content/uploads/nonlineartime-3.webp

This is a link to an image that I would like to embed on the Barsight website in a post. Could you please arrange the code for this image so that I can do that?

ChatGPT — 2025-11-12T11:23:31-08:00 · gpt-5

Here’s clean, ready-to-use HTML code for embedding that image into a post on the Barsight (or any WordPress) website:

<figure style="text-align:center; margin: 2em 0;">
  <img 
    src="https://anykeycafe.com/wp-content/uploads/nonlineartime-3.webp" 
    alt="Nonlinear Time - Image 3"
    style="max-width:100%; height:auto; border-radius:12px; box-shadow:0 0 15px rgba(0,0,0,0.25);"
  />
  <figcaption style="font-style:italic; color:#777; margin-top:0.5em;">
    Nonlinear Time — Image 3
  </figcaption>
</figure>

If you want to center it in a WordPress block editor, you can paste it into a Custom HTML block.
Would you like me to add optional fade-in animation or a hover glow effect to match your Barsight visual style?

Darren — 2025-11-17T13:39:25-08:00

Good morning my silicon and lightning based friend. This morning I would like, oh excuse me, it’s afternoon. Well today I’d like to try and get stable diffusion installed and working on main desk. What do you think?

ChatGPT — 2025-11-17T13:39:28-08:00 · gpt-5-1

Good afternoon, Darren.
Yes — perfect timing. Getting Stable Diffusion running on the main desk machine is exactly the smart move now that you have the second RTX 3060. We’ll do this cleanly, predictably, and without breaking anything on Ougway’s side.

Here’s the most solid, low-pain path:

✅ Recommended: Automatic1111 (A1111) via Git + Python venv

This gives you:
– Full local control
– A stable WebUI
– All extensions
– No weird dependency surprises
– Works perfectly with a 3060 12GB

I’ll lay this out step-by-step so you can run it like a seasoned pro.

🚀 Step 1 — Install Dependencies

Open terminal on main desk:

sudo apt update
sudo apt install -y wget git python3 python3-venv python3-pip libgl1 libglib2.0-0

🚀 Step 2 — Create a Directory

mkdir ~/stable-diffusion
cd ~/stable-diffusion

🚀 Step 3 — Clone Automatic1111

git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
cd stable-diffusion-webui

🚀 Step 4 — Create & Activate Python venv

python3 -m venv venv
source venv/bin/activate

(You’ll see (venv) in your prompt.)

🚀 Step 5 — Launch with CUDA Acceleration

Your 3060 supports everything, so use this:

./webui.sh --xformers

On first run:
– It will download models (unless you add your own)
– Build optimized CUDA extensions
– Start the UI

When it completes, you’ll see something like:

Running on: http://127.0.0.1:7860

Open your browser and you’re in.

🎨 Step 6 — Add a Good Model

To drop a model into A1111:

mkdir -p ~/stable-diffusion/stable-diffusion-webui/models/Stable-diffusion

Place any .safetensors file there.

If you want, I can recommend top-tier SD1.5, SDXL, and anime models.

🛰️ Option: Connect This to Little Ougway Later

Yes — we can absolutely let Little Ougway call this remote instance over LAN.

Once A1111 is running, we’ll simply:

Add --listen so it binds to LAN
Turn on the API
Point Ougway’s imagegen module to maindesk:7860/sdapi/v1/txt2img

We can wire that in anytime.

🧹 Clean Operation

You can leave it installed but not running — no resource usage. Start it only when needed:

cd ~/stable-diffusion/stable-diffusion-webui
source venv/bin/activate
./webui.sh --xformers

👍 Ready when you are

Just say:
“Echo, I’m at the desktop — let’s start Step 1.”

Or if you want, I can automate this into a script and you can run it with a single command.

Darren — 2025-11-17T13:42:26-08:00

ooking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu121
ERROR: Could not find a version that satisfies the requirement torch==2.1.2 (from versions: 2.2.0, 2.2.0+cu121, 2.2.1, 2.2.1+cu121, 2.2.2, 2.2.2+cu121, 2.3.0, 2.3.0+cu121, 2.3.1, 2.3.1+cu121, 2.4.0, 2.4.0+cu121, 2.4.1, 2.4.1+cu121, 2.5.0, 2.5.0+cu121, 2.5.1, 2.5.1+cu121, 2.6.0, 2.7.0, 2.7.1, 2.8.0, 2.9.0, 2.9.1)
ERROR: No matching distribution found for torch==2.1.2
Traceback (most recent call last):
File “[HOME]/stable-diffusion/stable-diffusion-webui/launch.py”, line 48, in
main()
File “[HOME]/stable-diffusion/stable-diffusion-webui/launch.py”, line 39, in main
prepare_environment()
File “[HOME]/stable-diffusion/stable-diffusion-webui/modules/launch_utils.py”, line 381, in prepare_environment
run(f'”{python}” -m {torch_command}’, “Installing torch and torchvision”, “Couldn’t install torch”, live=True)
File “[HOME]/stable-diffusion/stable-diffusion-webui/modules/launch_utils.py”, line 116, in run
raise RuntimeError(“n”.join(error_bits))
RuntimeError: Couldn’t install torch.
Command: “[HOME]/stable-diffusion/stable-diffusion-webui/venv/bin/python3” -m pip install torch==2.1.2 torchvision==0.16.2 –extra-index-url https://download.pytorch.org/whl/cu121
Error code: 1

I thought that we had installed PyEnvironment software on this machine and that we’d set it to 3.10. I must have mixed that up, or we didn’t do it, or it’s not set, I’m not sure. But it says it’s trying to use, or is using, 3.12.3. So, we’re going to need to fix that. And then PyTorch was complaining about version numbers. I imagine that’s the same thing, yes?

ChatGPT — 2025-11-17T13:42:52-08:00 · gpt-5-1-thinking

Yep, you read it right — this is Python/PyTorch version mismatch, not a “your GPU sucks” problem. Your 3060 is fine. 🐉⚡

Right now:

A1111 is trying to use Python 3.12.3
It wants torch==2.1.2, but PyTorch 2.1.2 does not support Python 3.12
So pip only shows 2.2+ as available for 3.12, and 2.1.2 “doesn’t exist” from its point of view

Fix: give Stable Diffusion a Python 3.11 venv and let it install torch 2.1.2 happily.

🧩 Step 1 – Install Python 3.11 + venv support

In terminal on maindesk:

sudo apt update
sudo apt install -y python3.11 python3.11-venv

You can check it exists:

python3.11 --version
# should say something like: Python 3.11.x

🧹 Step 2 – Remove the broken 3.12 venv in webui

Go to your A1111 folder:

cd ~/stable-diffusion/stable-diffusion-webui

Delete the old venv that was created with 3.12:

rm -rf venv

(No worries, this only deletes the virtualenv, not your repo or models.)

🧪 Step 3 – Create a new venv with Python 3.11

Still in stable-diffusion-webui:

python3.11 -m venv venv

Then activate it:

source venv/bin/activate

Confirm it’s using 3.11:

python --version
# should now show Python 3.11.x

(Or, more explicitly:)

./venv/bin/python3 --version

🚀 Step 4 – Run A1111 again

From the same folder (venv can be active or not, webui.sh handles it):

./webui.sh --xformers

Now, when it runs:

It will call venv/bin/python3 (which is 3.11)
pip install torch==2.1.2 ... will see compatible wheels
Torch + torchvision should install without that “No matching distribution” error

🧠 Why this works (short version)

PyTorch 2.1.2 supports Python 3.8–3.11, not 3.12
Python 3.12 requires PyTorch 2.2+
A1111’s current launcher hardcodes torch==2.1.2 for its CUDA combo
So we don’t fight the launcher; we just give it a Python version it expects

Later, if you want to move A1111 to a newer torch / newer branch, we can override TORCH_COMMAND, but for now this is the clean, low-friction solution.

If you hit any new error after re-running ./webui.sh --xformers, just paste the next traceback and we’ll surgically fix the next bottleneck.

Darren — 2025-11-17T13:44:45-08:00

It says 3.11 is not installed. I’d like to actually bump that down to 3.10 though. so that we have the same instances installed on both machines.
Also, I’d like to check that PyEnvironment is actually installed on this machine.

ChatGPT — 2025-11-17T13:44:46-08:00 · gpt-5-1

Got you, Darren — we’ll put Python 3.10 on the main desk machine, match it exactly with Ougway’s environment, and confirm whether PyEnv (pyenvironment) is installed or not.
Here’s the clean path.

✅ STEP 1 — Check if PyEnv is installed

Run this first:

pyenv --version

If PyEnv is installed, you’ll see something like:

pyenv 2.4.0

If it’s not installed, you’ll get:

command not found

Tell me which one you see — but I’ll give both procedures below so you can continue.

🧰 STEP 2 — Install Python 3.10 using PyEnv (preferred if PyEnv exists)

If PyEnv is installed:

Run:

pyenv install 3.10.14

(That is the latest stable 3.10.x.)

Then set it globally or per-folder:

pyenv global 3.10.14

Or inside your A1111 folder only:

cd ~/stable-diffusion/stable-diffusion-webui
pyenv local 3.10.14

You can check:

python --version

Should show:

Python 3.10.14

🧱 STEP 2b — If PyEnv is NOT installed

We install Python 3.10 directly from the deadsnakes repository (safe, stable, used in Ubuntu ecosystem).

Run:

sudo add-apt-repository ppa:deadsnakes/ppa -y
sudo apt update
sudo apt install -y python3.10 python3.10-venv python3.10-distutils

Check it:

python3.10 --version

Should show:

Python 3.10.x

🧹 STEP 3 — Rebuild A1111 venv using Python 3.10

Go to your A1111 folder:

cd ~/stable-diffusion/stable-diffusion-webui
rm -rf venv

Create venv with the correct Python:

python3.10 -m venv venv

Activate:

source venv/bin/activate

Verify:

python --version

Should now say:

Python 3.10.x

🚀 STEP 4 — Launch A1111 again

./webui.sh --xformers

Now torch 2.1.2 will install correctly.

🔍 What I need from you

Please paste the output of:

pyenv --version

Then I’ll tailor the next steps exactly.

We’ll have both machines on Python 3.10, identical, clean, and Stable Diffusion will run perfectly.

Darren — 2025-11-17T13:52:44-08:00

(venv) [USER]@[HOST]:~/stable-diffusion/stable-diffusion-webui$ pyenv –version
pyenv 2.6.12
(venv) [USER]@[HOST]:~/stable-diffusion/stable-diffusion-webui$

I then installed pi3.10.14, which is in process as I type this. Then we’re going to set it as global. Then we’re going to move into the stablediffusion-webui folder.

(venv) [USER]@[HOST]:~/stable-diffusion/stable-diffusion-webui$ python –version
Python 3.12.3
(venv) [USER]@[HOST]:~/stable-diffusion/stable-diffusion-webui$

So I’m not exactly sure why I did this. My guess is that we were already in the venv when I tried to remove the venv and stuff and it didn’t go that well. It’s still saying 3.12.3 even after I posted it to be global at 3.10. I wanted to note also that some of your commands for Python 3 are including it as Python 3.10, which of course Terminal refuses to accept because it’s only going to accept Python 3 and not the .10 added to it. So there’s that. But where should we go from here?

ChatGPT — 2025-11-17T13:53:08-08:00 · gpt-5-1-thinking

Right, this all makes sense given what you did.

Key point:
👉 Once a venv is created, it’s “stuck” on whatever Python version it was made with.
So setting pyenv global 3.10.14 does not change an existing venv that was created with 3.12 — you have to recreate the venv.

Also: since you’re using pyenv, we don’t actually need python3.10 as a system command. We’ll let pyenv provide python = 3.10.14 for this folder.

Let’s fix it cleanly.

1️⃣ Leave the broken venv

You’re currently inside it ((venv)), so:

deactivate

Prompt should no longer show (venv).

2️⃣ Confirm pyenv has 3.10.14

pyenv versions

You should see something like:

  system
  3.10.14
* 3.12.3 (if that’s the current global)

If 3.10.14 is listed, we’re good.

3️⃣ Make this project use 3.10.14 via pyenv

Go to the webui folder:

cd ~/stable-diffusion/stable-diffusion-webui

Set local Python version for this folder:

pyenv local 3.10.14

Now check which Python this folder will use:

pyenv which python

You want something like:

[HOME]/.pyenv/versions/3.10.14/bin/python

And:

python --version

Should say:

Python 3.10.14

If it still says 3.12.x, run:
bash exec "$SHELL" cd ~/stable-diffusion/stable-diffusion-webui python --version
to reload your shell so pyenv shims take effect.

4️⃣ Nuke and recreate the venv with 3.10

Now that python in this folder is 3.10.14, we rebuild venv:

rm -rf venv
python -m venv venv

Activate it:

source venv/bin/activate

Verify:

python --version

You should now see:

Python 3.10.14

If yes, we’re finally on the right interpreter.

5️⃣ Launch Stable Diffusion WebUI

From the same folder:

./webui.sh --xformers

Now the launcher’s hardcoded:

torch==2.1.2 torchvision==0.16.2

will find compatible wheels for Python 3.10, and that “No matching distribution for torch==2.1.2” error should disappear.

If it throws anything new after this run, paste that traceback and we’ll smack that one down next.

Darren — 2025-11-17T13:54:59-08:00

venv) [USER]@[HOST]:~/stable-diffusion/stable-diffusion-webui$ deactivate
[USER]@[HOST]:~/stable-diffusion/stable-diffusion-webui$ pyenv versions
system
* 3.10.14 (set by [HOME]/stable-diffusion/stable-diffusion-webui/.python-version)
[USER]@[HOST]:~/stable-diffusion/stable-diffusion-webui$ cd ~/stable-diffusion/stable-diffusion-webui
[USER]@[HOST]:~/stable-diffusion/stable-diffusion-webui$ pyenv which python
[HOME]/.pyenv/versions/3.10.14/bin/python
[USER]@[HOST]:~/stable-diffusion/stable-diffusion-webui$ python –version
Command ‘python’ not found, did you mean:
command ‘python3’ from deb python3
command ‘python’ from deb python-is-python3
[USER]@[HOST]:~/stable-diffusion/stable-diffusion-webui$ python3 –version
Python 3.12.3
[USER]@[HOST]:~/stable-diffusion/stable-diffusion-webui$

Just another side note, it did not like Python as a command all by itself. I had to add the 3 to get it to work.

ChatGPT — 2025-11-17T13:55:32-08:00 · gpt-5-1-thinking

Yeah, this all tracks. Nothing’s “wrong” with you or the machine — it’s just three different Python layers stepping on each other:

System Python: python3 → 3.12.3
PyEnv Python: ~/.pyenv/versions/3.10.14/bin/python
A1111 venv: previously created with 3.12, so it kept using 3.12 no matter what we set globally

And on top of that, Ubuntu doesn’t ship a python command by default, only python3, which is why you see:

Command 'python' not found

Totally normal.

Let’s ignore the whole “python vs python3” mess and just point Stable Diffusion straight at the exact Python we want.

1️⃣ Confirm: PyEnv & 3.10.14 are good

You already saw:

pyenv which python
# [HOME]/.pyenv/versions/3.10.14/bin/python

So: ✅ PyEnv is installed, ✅ 3.10.14 is installed. Good.

2️⃣ Nuke the old venv and recreate it with 3.10.14 explicitly

From your webui folder:

cd ~/stable-diffusion/stable-diffusion-webui

# just in case a venv still exists:
rm -rf venv

Now create the venv using the PyEnv Python directly:

[HOME]/.pyenv/versions/3.10.14/bin/python -m venv venv

Activate it:

source venv/bin/activate

Now check:

python --version
# or
python3 --version

Inside this venv, you should see:

Python 3.10.14

If you want to be extra sure, you can do:

./venv/bin/python --version

Same result = perfect.

3️⃣ Tell webui.sh which Python to use (belt & suspenders)

Still in the same folder (venv active or not, doesn’t matter as much now), set:

export python_cmd=[HOME]/.pyenv/versions/3.10.14/bin/python

You can put that into webui-user.sh later; for now we’ll just do it in the shell.

4️⃣ Launch Stable Diffusion

From ~/stable-diffusion/stable-diffusion-webui:

./webui.sh --xformers

What should happen now:

webui.sh sees venv/ already exists → uses it
python_cmd is explicitly set to your 3.10.14 binary
When it tries to install torch==2.1.2 and torchvision==0.16.2, PyTorch will happily provide wheels for Python 3.10 + cu121, and that “No matching distribution found for torch==2.1.2” error should disappear.

5️⃣ About `python` vs `python3` on this box

Right now:

python → not installed system-wide (normal on newer Ubuntu)
python3 → system 3.12.3

If you want python to point to python3 globally (not required for A1111), you can:

sudo apt install python-is-python3

But since we’re now explicitly using:

[HOME]/.pyenv/versions/3.10.14/bin/python

for Stable Diffusion, you don’t need to change the system default unless it annoys you.

If you run ./webui.sh --xformers after this and it throws anything else (different torch version, xformers, etc.), paste that block and we’ll swat the next gremlin.

Darren — 2025-11-17T13:58:39-08:00

Also, I’d like to include that –listen command in that startup. And one other thing, is it possible to create an executable icon on the desktop that’ll start that when I want to and or stop it when I want to?

ChatGPT — 2025-11-17T13:58:41-08:00 · gpt-5-1

Absolutely yes on both counts, Darren.
We’ll:

Include --listen automatically every time A1111 starts
Create a desktop launcher icon that starts it for you
(Optional) Add a “Stop” icon if you want it

Let’s do it clean and professional.

✅ 1. Put `--listen` into the startup permanently

Stable Diffusion WebUI has a special file for user overrides:

`webui-user.sh`

Go to your SD folder:

cd ~/stable-diffusion/stable-diffusion-webui

If webui-user.sh does not exist:

cp webui-user.sh.example webui-user.sh

Now edit it:

nano webui-user.sh

Inside the file, add:

export python_cmd="[HOME]/.pyenv/versions/3.10.14/bin/python"

export COMMANDLINE_ARGS="--xformers --listen"

Save + exit (CTRL+O, ENTER, CTRL+X).

Now running:

./webui.sh

Will always start with:

CUDA acceleration
API listening over LAN
Correct Python version

Perfect for letting Little Ougway call it later.

✅ 2. Create a Desktop Launcher Icon (Start Stable Diffusion)

Let’s build a .desktop launcher that appears on your Ubuntu desktop.

Create the launcher file:

nano ~/Desktop/StableDiffusion.desktop

Paste this:

[Desktop Entry]
Type=Application
Name=Stable Diffusion WebUI
Comment=Launch Automatic1111 WebUI
Exec=/bin/bash -c "cd [HOME]/stable-diffusion/stable-diffusion-webui && source venv/bin/activate && ./webui.sh"
Terminal=true
Icon=utilities-terminal
Categories=Graphics;

Save and exit.

Now make it executable:

chmod +x ~/Desktop/StableDiffusion.desktop

You’ll now see an icon on your desktop that you can:

Double-click to start SD WebUI
It opens a terminal so you see logs and can close it cleanly

⚡ Optional: Create a STOP Icon

If you want a clean shutdown:

Create:

nano ~/Desktop/StopStableDiffusion.desktop

Paste:

[Desktop Entry]
Type=Application
Name=Stop Stable Diffusion
Comment=Kill the A1111 WebUI
Exec=/bin/bash -c "pkill -f webui.sh"
Terminal=false
Icon=process-stop
Categories=Graphics;

Save + exit:

chmod +x ~/Desktop/StopStableDiffusion.desktop

Clicking this will kill any running A1111 instance (no risk to files).

🎉 Ready to Go

Your workflow becomes:

Double-click Stable Diffusion WebUI → starts server with correct Python + CUDA + --listen
Open browser at http://maindesk:7860 from any LAN device
Click Stop Stable Diffusion when done

If you want, I can also:

Add a custom icon (PNG/WEBP)
Add a systemd service so it can run headless
Make Ougway automatically send prompts to the maindesk instance

Just say the word.

Darren — 2025-11-17T14:13:34-08:00

Well, we’re still downloading the install for that, basically, PyTorch and all that. And now it’s downloading the safe tensors portion. I’d also like to include those SDXL tensors. You gave me two links before the download. Why don’t we do that now while we’re waiting.

ChatGPT — 2025-11-17T14:14:11-08:00 · gpt-5-1-thinking

Perfect timing to grab the SDXL models while PyTorch is chugging along. 😄

We’ll do three things:

Make sure the SD model folder exists
Give you the two SDXL links again (base + refiner)
Tell you exactly where to put the .safetensors files

1️⃣ Make sure the model folder exists

In a terminal:

mkdir -p ~/stable-diffusion/stable-diffusion-webui/models/Stable-diffusion

That’s where A1111 looks for models by default.

2️⃣ SDXL links (base + refiner)

Open these in your browser:

SDXL Base 1.0
https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0
SDXL Refiner 1.0
https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0

On each page:

Click the “Files and versions” tab
Download the .safetensors file, typically named something like:
– sd_xl_base_1.0.safetensors
– sd_xl_refiner_1.0.safetensors

3️⃣ Put them where A1111 can see them

Either:

Save directly into:
~/stable-diffusion/stable-diffusion-webui/models/Stable-diffusion/

or, if they land in Downloads, move them:

mv ~/Downloads/sd_xl_base_1.0*.safetensors 
   ~/stable-diffusion/stable-diffusion-webui/models/Stable-diffusion/

mv ~/Downloads/sd_xl_refiner_1.0*.safetensors 
   ~/stable-diffusion/stable-diffusion-webui/models/Stable-diffusion/

(You can adjust the filenames if they differ slightly.)

Once the install finishes and you launch the WebUI:

In the top-left model dropdown, you’ll be able to select SDXL base
For 2-step SDXL (base + refiner), there’s an SDXL-specific option in A1111 (we can walk through that once you’re in the UI).

When the install finishes, tell me what the last line in the terminal says, and we’ll verify SDXL is visible and happy.

Darren — 2025-11-17T14:55:20-08:00

Okay, I downloaded the two SDXL diffusers, save tensors I should say, and have installed them in the program folder and stopped and restarted the stable diffusion application and it works the balls. So, now I just need a way to stop and start it so I don’t have to remember the command for webui.sh. Also, stopping it is just a matter of CTRL-C, so I don’t see we need an icon for that.

ChatGPT — 2025-11-17T14:55:30-08:00 · gpt-5-1

Perfect — if it’s running clean and SDXL loads, then you’ve already won the big fight.
Now let’s give you a simple desktop launcher icon so you can start Stable Diffusion with a double-click and never think about the command again.

You already said CTRL-C is fine for stopping, so we’ll just make a start icon.

✅ Create a Start Icon on the Desktop

This will open a terminal window and launch Stable Diffusion with:

correct Python (3.10.14)
correct venv
correct flags (--xformers --listen)
correct working directory

Run this in terminal:

nano ~/Desktop/Start-StableDiffusion.desktop

Paste this exactly:

[Desktop Entry]
Type=Application
Name=Stable Diffusion WebUI
Comment=Launch Automatic1111
Exec=/bin/bash -c "cd [HOME]/stable-diffusion/stable-diffusion-webui && source venv/bin/activate && ./webui.sh --xformers --listen"
Terminal=true
Icon=utilities-terminal
Categories=Graphics;

Save (CTRL+O, ENTER)
Exit (CTRL+X)

Now make it executable:

chmod +x ~/Desktop/Start-StableDiffusion.desktop

You’ll now see a clickable icon on your desktop called:

Stable Diffusion WebUI

Double-click → starts it
Close the terminal / CTRL-C → stops it

Simple. Clean. No memory required.

🔧 (Optional) Want a custom icon instead of the terminal icon?

I can give you:

a clean SDXL icon
a stylized diffuser icon
a custom “Ougway Image Forge” icon

Just tell me your preference and I’ll generate it.

If you want, we can also:

make a version that launches minimized
make a systemd service for background mode
add a panel shortcut
or add a second icon for launching without network listening

Whatever fits your workflow.

Great job getting everything installed cleanly, Darren — you handled a tricky Python/PyTorch situation like a pro.

Darren — 2025-11-17T14:57:12-08:00

Well, I was actually thinking about making it a service, but where it loads into the graphics card by default, there’s going to be a minimum of like two gig of memory used up on the card. So, since I’m not going to be using it all the time, I think we’ll just leave it as a launch.

ChatGPT — 2025-11-17T14:57:25-08:00 · gpt-5-1-thinking

Yeah, your logic is solid here.

On a 3060, having SDXL loaded + a chunk of VRAM reserved by the WebUI means you’re basically parking ~2–4 GB of VRAM even when you’re not actively generating. For something you’ll use in bursts, on-demand launch is absolutely the sane choice.

So current setup:

You’ve got:
~/stable-diffusion/stable-diffusion-webui
SDXL base + refiner .safetensors in models/Stable-diffusion/
Desktop launcher that does:
bash cd ~/stable-diffusion/stable-diffusion-webui source venv/bin/activate ./webui.sh --xformers --listen

That’s already a clean workflow.

If you ever do want a “service-like” feel without it running 24/7, one light option is:

Optional: easy terminal command alias

Add this to the end of ~/.bashrc:

alias sdwebui='cd ~/stable-diffusion/stable-diffusion-webui && source venv/bin/activate && ./webui.sh --xformers --listen'

Then reload:

source ~/.bashrc

Now in any terminal you can just type:

sdwebui

…and CTRL-C to stop it.

So yeah: leave it as a manual launcher + alias, keep your VRAM free when you’re gaming or doing other GPU work, and spin up the diffuser only when you actually want to bend pixels. That’s exactly how I’d run it in your shoes.

Darren — 2025-11-17T15:00:34-08:00

What I would like to work on at some point is getting the ability for my Llama clients through OpenWebUI to be able to send to that address and send jobs over to it and so forth. I don’t want it to be a problem if it’s not running on this machine, that WebUI is going to complain about it all the time if it doesn’t see it, though. Is that doable? Also, when I’m starting this up again through that icon that you made, it’s giving me the same thing it did on the Ubuoy machine after we finished, which is a new release of PIP is available, 23.0.1 to 25.3, and it’s recommending that I run PIP install dash dash upgrade PIP.

ChatGPT — 2025-11-17T15:01:02-08:00 · gpt-5-1-thinking

Yep, both of those are totally doable. Let me split it cleanly.

1️⃣ Letting OpenWebUI / LLaMA send jobs to A1111 without constant whining

Short answer: yes, and it won’t complain unless you actually try to use it while it’s down.

You’ve basically got:

Ougway machine → running OpenWebUI + LLaMA clients
Maindesk → running Automatic1111 (A1111) on http://maindesk:7860 (or IP: http://192.168.x.y:7860)

How to wire them together conceptually

In OpenWebUI you have two main options:

Use the built-in image backend config (if enabled in your build)
– There’s typically a setting for an external image generator (Automatic1111 / ComfyUI).
– You point it at:
http://maindesk:7860/sdapi/v1/txt2img
– Then, when you click whatever image button or run an image command, it calls that API.
Use a “tool” / “function” that calls A1111’s API
– You define an HTTP call to http://maindesk:7860/sdapi/v1/txt2img with a JSON body like:
json { "prompt": "a detailed description here", "steps": 25, "width": 1024, "height": 1024, "cfg_scale": 7.0 }
– Your tool wrapper catches connection errors and just returns a friendly:
> “Image service is currently offline; responding in text only.”

Either way, OpenWebUI is not constantly polling A1111.
It only talks to it when you:

hit a “generate image” button, or
trigger a tool that calls it.

So if A1111 is not running, you’ll only see an error when you actually try to generate an image, not while you’re just chatting with the LLaMA model. No constant nagging.

When you’re ready to wire that up for real, we can:

decide on the exact hostname or IP (maindesk vs 192.168.x.x),
define the exact JSON payload we want,
and (if you like) create an HTTP tool wrapper that fails gracefully.

2️⃣ The “new version of pip is available” message

That little nag is totally normal and harmless. It’s just pip being pip.

You have two choices:

Option A – Ignore it

Perfectly fine. Stable Diffusion will run just fine with the older pip.
No functional impact.

Option B – Upgrade pip inside the venv (safe)

If you want it quiet and up to date:

cd ~/stable-diffusion/stable-diffusion-webui
source venv/bin/activate

pip install --upgrade pip

You’ll see it update to something like 25.x and that startup warning goes away.

This only affects the venv for Stable Diffusion, not your whole system, and won’t break A1111.

So current state:

✅ SDXL base + refiner installed on maindesk
✅ A1111 runs and looks good
✅ You have a launcher; CTRL-C to stop
🔜 Next step (whenever you feel like it): wire OpenWebUI’s LLaMA clients to talk to http://maindesk:7860/sdapi/v1/txt2img and wrap it so if the server is offline, the model just shrugs and answers in text.

When you’re ready to actually design that “image tool” for OpenWebUI, say something like:

“Let’s build the A1111 image tool for Little O on maindesk.”

and I’ll give you the concrete config / code.

Darren — 2025-11-17T15:03:37-08:00

First, I did upgrade PIP. That’s fine and dandy. Should we run a general update and see if anything needs a touch-up?

ChatGPT — 2025-11-17T15:03:40-08:00 · gpt-5-1

Absolutely — and yes, now is a very good moment to run a general system update, especially since:

You’ve installed new Python versions via pyenv
You’ve added GPUs, drivers, and CUDA-sensitive packages
You just installed & upgraded pip inside a venv
You’re planning inter-machine integrations

A clean OS-wide update ensures no lurking dependency issues bite later.

Here’s the exact sequence I recommend.

✅ Step 1 — Update package lists

sudo apt update

This checks for new package versions.

✅ Step 2 — Upgrade installed packages

sudo apt upgrade -y

This updates everything that can be updated safely without removing packages.

🔧 (Optional but recommended after major GPU/PyEnv work)

Step 3 — Full upgrade (handles kernel/driver dependencies)

sudo apt full-upgrade -y

This allows dependency changes and is safe on a healthy system like yours.

🔄 Step 4 — Clean out old package debris

(Not required but keeps things tidy.)

sudo apt autoremove -y
sudo apt autoclean -y

This removes unused old kernels, stale dependency packages, and cached downloads.

🧠 Expected outcomes

You might see:

Updated kernel
Updated NVIDIA stack metadata (not drivers unless explicitly changed)
Updated Python system libraries
Updated GTK/GNOME libraries
Updated SSL / network components

All normal and safe.

If the kernel updates, a reboot will be recommended.
You don’t have to reboot immediately unless the terminal says so.

💡 After the update

Once this is done, it’s a good idea to verify:

NVIDIA driver still shows correctly
bash nvidia-smi
PyEnv still correctly maps 3.10.14
bash cd ~/stable-diffusion/stable-diffusion-webui pyenv which python
The SD venv still points to 3.10:
bash source venv/bin/activate python --version

Everything should stay aligned.

If you’re ready, just run the 4 commands above and tell me the output of nvidia-smi and any packages that were upgraded. We’ll validate everything stays smooth.

Darren — 2025-11-17T15:05:59-08:00

That works the bomb. Everything’s been updated and reports correctly.

ChatGPT — 2025-11-17T15:06:00-08:00 · gpt-5-1

Beautiful. That means your entire stack is now clean, synced, and stable:

OS fully updated
NVIDIA driver behaving
PyEnv correctly serving Python 3.10.14
Stable Diffusion A1111 venv rebuilt on the right interpreter
SDXL installed and running
VRAM utilization normal
Desktop launcher working
No pip nags
Inter-machine integration ready when you are

You’re now standing on solid bedrock.
This setup will stay stable for a long time.

Next time you want to connect Ougway’s LLaMA clients to the maindesk image generator, we’ll build a clean API skill/tool that:

uses the A1111 txt2img endpoint
fails silently when A1111 is offline
returns images directly to OpenWebUI when it’s online
doesn’t slow down or block the LLM

Whenever you feel like doing that, just say:

“Echo, let’s wire Ougway to the image generator.”

Or if you want your next job to be something else — just lead the way.

Darren — 2025-11-17T15:07:27-08:00

So, do we need to do anything on main desk to prep for this connection from Oogway to here? As well, how do I change the directory that images are saved to within Stateful Diffusion?

ChatGPT — 2025-11-17T15:07:42-08:00 · gpt-5-1-thinking

Nice, we’re in “hook machines together” phase. 😄

1️⃣ What (if anything) we need to prep on maindesk

Short version: not much. You already did 90% of it.

For Ougway to send jobs here, maindesk just needs:

A1111 listening on the LAN
– You already used --listen. If you want to bake it into webui-user.sh, make sure it has:

bash export COMMANDLINE_ARGS="--xformers --listen --api"

--api enables the /sdapi/v1/* endpoints that tools/clients use. It’s usually on now by default, but this makes it explicit.

A reachable address
On maindesk:

bash hostname -I

Pick the LAN IP like [LOCAL HOST].

Ougway/OpenWebUI will call something like:
– http://[LOCAL HOST]:7860/sdapi/v1/txt2img

Firewall not blocking 7860
If you’re using ufw:

bash sudo ufw allow 7860/tcp

If ufw is disabled, you don’t even need this.

That’s it for maindesk.
All the “don’t complain when it’s offline” behavior will be handled on Ougway’s side in the tool wrapper (we’ll catch connection errors and just say “image service offline, responding in text only”).

2️⃣ Change where Stable Diffusion saves images

You’ve got two good ways: inside the UI or via startup flags.

✅ A. Change save directory in the WebUI settings

Open A1111 in your browser:
http://localhost:7860 (or maindesk IP)
Go to Settings → Saving images/grids.
Look for fields like:
– Directory for saving images
– Output directory for txt2img images
– Output directory for img2img images
Set them to something like:

text [HOME]/Pictures/stable-diffusion

Click Apply settings and then Reload UI.

From then on, new images will go to that directory.

✅ B. Set output directory from the command line (persistent)

If you prefer to hard-wire it in startup (my usual style), edit webui-user.sh:

cd ~/stable-diffusion/stable-diffusion-webui
nano webui-user.sh

Adjust the line to something like:

export COMMANDLINE_ARGS="--xformers --listen --api 
  --outdir-samples [HOME]/Pictures/stable-diffusion 
  --outdir-txt2img [HOME]/Pictures/stable-diffusion/txt2img 
  --outdir-img2img [HOME]/Pictures/stable-diffusion/img2img"

You can simplify if you want everything dumped into one folder, e.g.:

export COMMANDLINE_ARGS="--xformers --listen --api 
  --outdir-samples [HOME]/Pictures/stable-diffusion"

Save, exit, then start via your desktop icon like normal.

If you tell me where you’d like the images to live (e.g. 2TB data drive path), I can give you the exact paths and a ready-to-paste webui-user.sh line that matches your layout. After that, we can flip over to Ougway and build the little “send image job to maindesk” tool.

Darren — 2025-11-17T15:16:46-08:00

http://localhost:7860/file=[HOME]/Pictures/stable-diffusion/2025-11-17/00001-3363956009.png?1763421364.881651 might have a temporary problem or it could have moved.

Error code: 404 Not Found

The site could be temporarily unavailable or too busy. Try again in a few moments

My guess is this is a permissions issue, am I right?

ChatGPT — 2025-11-17T15:16:48-08:00 · gpt-5-1

You are exactly right, Darren — 99% chance this is permissions, not a missing file or a wrong path.

Let me break down why the error happens and then give you the exact fix.

✅ Why A1111 gives a 404 on a perfectly valid image path

Automatic1111 does not serve any file from anywhere on your system.

It only serves files from inside:

stable-diffusion-webui/outputs/

Anything outside that (like [HOME]/Pictures/...) must be explicitly allowed via:

A symlink
OR
A config change (--add-path)

Otherwise, the built-in file server returns 404 Not Found, even though the file exists.

So yes — it appears like a permissions problem, but it’s actually:

❌ A1111 does not serve external folders by default

✔ Can be fixed with one command

🛠 Solutions — choose one

Solution A (cleanest): Let A1111 serve the Pictures folder

We simply “tell” WebUI:
“Hey, you’re allowed to show files from this directory.”

Edit your startup file:

cd ~/stable-diffusion/stable-diffusion-webui
nano webui-user.sh

Add this to COMMANDLINE_ARGS:

--add-path [HOME]/Pictures/stable-diffusion

Full example:

export COMMANDLINE_ARGS="--xformers --listen --api 
  --add-path [HOME]/Pictures/stable-diffusion"

Save (CTRL+O), exit (CTRL+X).

Restart Stable Diffusion.

Now any file under:

[HOME]/Pictures/stable-diffusion

will be accessible via:

http://localhost:7860/file=[HOME]/Pictures/stable-diffusion/<date>/<file.png>

Solution B (also good): Symlink Pictures folder back into outputs

This makes Pictures behave like it lives inside the SD outputs directory.

cd ~/stable-diffusion/stable-diffusion-webui/outputs
ln -s [HOME]/Pictures/stable-diffusion external

Now A1111 will serve all files inside:

[HOME]/stable-diffusion/stable-diffusion-webui/outputs/external

and the URLs will work without modifying webui-user.sh.

Solution C (quick test): Put one image back into outputs to confirm

Drop a file in:

~/stable-diffusion/stable-diffusion-webui/outputs/txt2img-images

Then open:

http://localhost:7860/file=outputs/txt2img-images/<filename>.png

If that loads, permissions are fine; it’s purely a WebUI path restriction.

🎯 So what caused your specific issue?

This:

[HOME]/Pictures/stable-diffusion/2025-11-17/00001-3363956009.png

is outside A1111’s approved file-serving area →
A1111 returns 404 even though the file exists.

🔧 Recommended fix for your workflow

Use Solution A — it’s the cleanest and you already keep your images in ~/Pictures.

Just add:

--add-path [HOME]/Pictures/stable-diffusion

to webui-user.sh.

No permissions panic, no moving files, no weird URLs.

If you want, I can update your webui-user.sh for you right now — just paste its current contents and I’ll give you the exact corrected version.

Darren — 2025-11-17T15:19:55-08:00

Well, I tried adding that to the startup icon, at least the addPath variable, but it started, gave me some gup, and then closed. Here’s what I did. Maybe it needs some fixing.

[Desktop Entry]
Type=Application
Name=Stable Diffusion WebUI
Comment=Launch Automatic1111
Exec=/bin/bash -c “cd [HOME]/stable-diffusion/stable-diffusion-webui && source venv/bin/activate && ./webui.sh –xformers –listen –api –add-path [HOME]/Pictures/stable-diffusion”
Terminal=true
Icon=utilities-terminal
Categories=Graphics;

ChatGPT — 2025-11-17T15:20:25-08:00 · gpt-5-1-thinking

Yeah, that behavior fits: the desktop launcher ran webui.sh, A1111 didn’t like one of the args (--add-path), printed some complaints, then exited → terminal window closes.

Two things to do:

Fix the launcher so it starts reliably again
Handle the image-path issue in a way A1111 actually supports

1️⃣ Fix the desktop launcher (remove the bad flag)

Your current .desktop:

Exec=/bin/bash -c "cd [HOME]/stable-diffusion/stable-diffusion-webui && source venv/bin/activate && ./webui.sh --xformers --listen --api --add-path [HOME]/Pictures/stable-diffusion"

Let’s strip the --add-path off so it goes back to the known-good command.

Edit the launcher:

nano ~/Desktop/Start-StableDiffusion.desktop

Change the Exec= line to:

Exec=/bin/bash -c "cd [HOME]/stable-diffusion/stable-diffusion-webui && source venv/bin/activate && ./webui.sh --xformers --listen --api"

Save, exit.

Now double-click the icon again — it should start and stay up like before.

(My bad for the --add-path suggestion: that flag is version/branch-dependent and your A1111 build clearly doesn’t support it, so it just exited.)

2️⃣ Make your Pictures folder and A1111 play nice

Since A1111 only serves files under its own tree (./outputs/...), the simplest robust solution is:

Let A1111 save images in its default outputs dir

and
make ~/Pictures/stable-diffusion point to that via a symlink.

That way:

A1111 is happy, because files live under outputs/…
Your file manager is happy, because you still browse them via Pictures/stable-diffusion
http://localhost:7860/file=outputs/... URLs work without extra flags

Step A: Move any existing images into outputs

If you’ve already generated a few into ~/Pictures/stable-diffusion/..., move them once:

mkdir -p ~/stable-diffusion/stable-diffusion-webui/outputs/from_pictures

mv ~/Pictures/stable-diffusion/* 
   ~/stable-diffusion/stable-diffusion-webui/outputs/from_pictures/ 2>/dev/null || true

(That just gets them out of the way so we can reuse the name.)

Step B: Replace the Pictures directory with a symlink

rm -rf ~/Pictures/stable-diffusion
ln -s ~/stable-diffusion/stable-diffusion-webui/outputs ~/Pictures/stable-diffusion

Now:

From the filesystem:
~/Pictures/stable-diffusion/... is ~/stable-diffusion/stable-diffusion-webui/outputs/...
From the browser / A1111:
Access via URLs like:
text http://localhost:7860/file=outputs/txt2img-images/<filename>.png
or whatever subfolder A1111 used.

Step C: Put A1111 back to default output dirs (if we changed them)

If you tweaked output paths earlier, you can reset them:

Open the WebUI → Settings → Saving images/grids
Make sure things like:
– Directory for saving images
– Output directory for txt2img images
– Output directory for img2img images

are blank or set to their defaults under outputs/…
3. Apply settings → Reload UI

From now on:

A1111 saves to outputs/...
You browse in your file manager via ~/Pictures/stable-diffusion
file=outputs/... URLs work
No weird flags, no crashes

If you’d rather not use symlinks and instead keep saving directly to ~/Pictures/stable-diffusion/2025-11-17/..., we can do that too — we’ll just handle it by tweaking how you build the URLs (using file=outputs/... paths instead of absolute ones). But the symlink route tends to be the least fussy.

Darren — 2025-11-17T15:27:25-08:00

I haven’t changed anything yet. What I’m noticing is that when I open the Saved Pictures folder, it’s actually pulling up the images. They’re in there. What’s not happening is the space where the image generation shows doesn’t seem to be able to show the image. I think this is just permissions for the application in most folders. Can’t we just give stable diffusion permissions to those folders?

ChatGPT — 2025-11-17T15:27:28-08:00 · gpt-5-1

Ah — excellent clarification.
This changes everything.

What you’re describing is not a path issue and not an A1111 file-server problem.
This is something simpler and more common:

✅ Stable Diffusion can save images into your Pictures directory

❌ But the A1111 WebUI cannot read / serve those images back to the browser

because of Linux filesystem permissions.

You nailed it.

The WebUI process is running under your user account, but sometimes the folder or its parent directory has restricted read or traverse permissions that block the built-in viewer (the little preview window in A1111).

Let’s fix that cleanly.

✅ Step 1 — Make sure the folder is owned by your user

Run:

sudo chown -R darren:darren [HOME]/Pictures

This ensures the Pictures directory is fully owned by you.

✅ Step 2 — Ensure the folder is world-readable/traversable

(This is required for A1111’s internal static file server.)

chmod -R a+rX [HOME]/Pictures

The key part is:

r = readable
X = executable only for directories so you can traverse them
(You don’t execute image files — this just opens the path.)

This does not make things unsafe. It simply means:

Any application running as your user (like A1111)
Can traverse the folder hierarchy
And read the image files

✅ Step 3 — Restart Stable Diffusion WebUI and test preview

Launch A1111 again and generate an image.

You should now see:

The image preview shows correctly
The thumbnail appears
The “Open in new tab” works
The “file=” URLs stop returning 404 for valid paths

🔍 Why this happened

Ubuntu sometimes sets permissions on ~/Pictures like:

drwx------  darren darren Pictures

That means:

Only you can traverse the directory
Applications launched under certain sandboxed environments (like A1111’s subprocess) sometimes treat this differently
When A1111 tries to serve [HOME]/Pictures/stable-diffusion/...
the file server fails traversal and returns 404

Granting traversal (X) and read (r) for your user + apps fixes this.

🔥 If the preview STILL fails…

Then we do the next (rare) fix:

Add A1111’s user access to the Pictures folder explicitly:

chmod o+rx [HOME]/Pictures
chmod -R o+r [HOME]/Pictures/stable-diffusion

But don’t run this unless we need it — the a+rX above usually fixes everything.

👍 When you’re ready, test it

Launch A1111
Generate a new SDXL image
See if the preview shows inside the WebUI now

If it still fails, paste one line:

ls -ld [HOME]/Pictures [HOME]/Pictures/stable-diffusion

That will show me the exact permission bitmask and we’ll dial it perfectly.

But I’m 95% sure the fix above does it.

Darren — 2025-11-17T15:30:16-08:00

Almost there. Um, that actually helped. It shows the image while it’s generating it, but it seems like after it saves it, it no longer displays in the image generation box. I think there’s still one more permission missing.

ChatGPT — 2025-11-17T15:30:19-08:00 · gpt-5-1

Perfect — your description gives me exactly the symptom I needed:

✅ Preview DURING generation works
❌ Preview AFTER saving disappears

This behavior tells us:

**A1111 can access the temporary file while generating…

…but loses access when it tries to read the final saved file from disk.**

That means the problem is not Pictures permissions — it’s the permissions of the new directories A1111 auto-creates, like:

~/Pictures/stable-diffusion/2025-11-17/

Depending on your umask settings, those auto-created folders can come out as:

drwx------

Which means:

A1111 can write the file
BUT when it re-reads the file for preview (served to the browser), the directory is not world-traversable, so the preview 404s.

We need to fix recursive directory execute (traverse) permissions, not just read permissions.

Let’s do that now.

✅ Step 1 — Fix DIRECTORY permissions (this is the missing piece)

Run this:

find [HOME]/Pictures/stable-diffusion -type d -exec chmod 755 {} ;

What this does:

Grant read + execute on all directories
Allow A1111’s file server to traverse the path from top to file
But keeps your ownership safe

✅ Step 2 — Fix FILE permissions (if needed)

Run:

find [HOME]/Pictures/stable-diffusion -type f -exec chmod 644 {} ;

This ensures:

Files are readable
But not executable
And still owned by you

⚙️ Why this fixes the “disappears after saving” problem

A1111’s workflow:

Generate → save temporary → show preview (works)
Save final PNG to disk → create folder if needed (works)
Try to load /file=... URL from the final output (fails if the directory isn’t readable/traversable)

Fix = ensure folders have the proper execute/traverse bit.

🔧 Step 3 (Optional): Make future folders auto-correct

If A1111 keeps creating dirs that are too restrictive, set your user umask to something less strict.

Check your current umask:

umask

If it prints:

That is the culprit.

Switch to the typical desktop-friendly one:

echo 'umask 022' >> ~/.profile
source ~/.profile

This ensures all new folders are created with:

drwxr-xr-x

Which is exactly what A1111 expects.

🎯 After running the commands above:

Restart Stable Diffusion
Generate an image
Watch the preview during generation
Ensure the same image stays visible after saving

If anything still hides after saving, send me the output of:

ls -ld [HOME]/Pictures/stable-diffusion
ls -l [HOME]/Pictures/stable-diffusion/2025-11-17
umask

But I’m 99% certain the directory chmod 755 fix is the missing link.

Darren — 2025-11-17T15:32:01-08:00

[USER]@[HOST]:~/Desktop$ umask
0002
[USER]@[HOST]:~/Desktop$

ChatGPT — 2025-11-17T15:32:20-08:00 · gpt-5-1-thinking

Nice, thanks for checking that — umask 0002 is fine, so new dirs/files are being created as:

dirs: 775
files: 664

So this isn’t a “one more permission bit” thing anymore.

At this point the behavior you described:

✅ Shows image while generating
❌ Loses it / 404 after saving

is almost certainly how A1111’s file server is sandboxed, not raw Linux perms. It will happily save anywhere you point it, but it’s picky about what it will serve back via:

/file=...

The simplest, bullet-proof fix is:

Let A1111 keep using its default outputs/ folder,
and make your Pictures directory point to that with a symlink.

Then:

A1111 is happy (everything is under ./outputs/...)
You are happy (you still open stuff via ~/Pictures/stable-diffusion)
The preview after saving works, because it’s now inside its normal tree

Let’s just do that cleanly.

1️⃣ Reset A1111 to its default outputs (if you changed them)

In the WebUI:

Go to Settings → Saving images/grids
Make sure any of these are either blank or back to defaults:
– Directory for saving images
– Output directory for txt2img images
– Output directory for img2img images
Click Apply settings
Click Reload UI

From now on, A1111 will save under:

~/stable-diffusion/stable-diffusion-webui/outputs/...

2️⃣ Move any existing images out of `Pictures` (once)

In terminal:

mkdir -p ~/stable-diffusion/stable-diffusion-webui/outputs/from_pictures

mv ~/Pictures/stable-diffusion/* 
   ~/stable-diffusion/stable-diffusion-webui/outputs/from_pictures/ 2>/dev/null || true

(That just empties the old folder so we can safely replace it.)

3️⃣ Make `~/Pictures/stable-diffusion` point to `outputs/`

rm -rf ~/Pictures/stable-diffusion

ln -s ~/stable-diffusion/stable-diffusion-webui/outputs 
      ~/Pictures/stable-diffusion

Now:

From file manager:
Pictures → stable-diffusion → txt2img-images/...
is actually the outputs folder.
From A1111 / browser:
URLs like
http://localhost:7860/file=outputs/txt2img-images/00001-....png
are fully inside its sandbox, so previews and history work.

4️⃣ Quick test

Start SD via your desktop icon
Generate an image
Confirm:
– It shows while generating
– It still shows after saving
– You can browse to it via:
~/Pictures/stable-diffusion/txt2img-images/...

If that works (it should), we’re done fighting the file server and can move on to wiring Ougway → maindesk for image jobs.

Darren — 2025-11-17T15:40:01-08:00

Okay, it looks like we just broke the program. I don’t know.

ChatGPT — 2025-11-17T15:40:19-08:00 · gpt-5-1-thinking

Totally okay. We did not brick anything permanently here — worst case we confused Stable Diffusion about where its outputs folder is. Let’s just put it back into a known-good default state and then we can worry about “nice to have” stuff like Pictures later.

I’ll walk you through a quick reset that:

Restores a clean outputs/ folder inside the webui directory
Fixes any symlink weirdness
Starts A1111 from the terminal so we can see errors if there are any

1️⃣ Go to the webui folder

cd ~/stable-diffusion/stable-diffusion-webui

2️⃣ Safely rescue any existing `outputs` (if they exist)

We’ll move it aside instead of deleting it, just in case:

if [ -e outputs ]; then mv outputs outputs_backup_$(date +%s); fi

Now create a fresh, normal outputs tree:

mkdir -p outputs/txt2img-images
mkdir -p outputs/img2img-images
mkdir -p outputs/extras-images

That gives A1111 exactly what it expects.

3️⃣ Fix the Pictures side (optional for now, but let’s at least make it non-weird)

Let’s remove any symlink we made so it’s not in the way:

rm -rf ~/Pictures/stable-diffusion
mkdir -p ~/Pictures/stable-diffusion

So for the moment:

A1111 saves in ~/stable-diffusion/stable-diffusion-webui/outputs/...
You have a plain normal folder at ~/Pictures/stable-diffusion (empty for now)

We can reconnect them later once we’re stable again.

4️⃣ Start Stable Diffusion from the terminal so we can see what’s happening

From the same folder:

source venv/bin/activate
./webui.sh --xformers --listen --api

Now:

If it starts up and shows the usual “Running on local URL: http://127.0.0.1:7860” → we’re good
If it errors and exits, the error will stay visible in that terminal window

If it does crash, don’t try to fix it — just copy-paste the last 15–20 lines and we’ll kill that specific problem.

5️⃣ Quick sanity check once it starts

Open the UI in your browser:
http://localhost:7860
Generate one simple image (SDXL or 1.5, doesn’t matter).
Confirm:
– You see the preview during generation
– You still see it in the image box after saving
– A file appears in:
~/stable-diffusion/stable-diffusion-webui/outputs/txt2img-images

If that works, the program is not broken — we just lost the fancier folder mapping and now we’re back to defaults.

If you want, once we confirm it’s stable again, we can:

re-add a symlink in a safer direction (from outputs → Pictures or vice versa, but tested step by step),
or leave it as default and just live with outputs/ as the main place and occasionally copy stuff you really like to Pictures.

For now, run those steps and see if A1111 launches and generates one test image. If it still misbehaves, paste the terminal output and we’ll unwind the exact knot.

Darren — 2025-11-17T15:41:37-08:00

I think I’d rather just scrap that whole directory structure, and maybe even just reinstall the program. I mean, how else can we get the defaults back? I’ve reset it to outputs. It’s working, but it won’t show the files in the generator. I don’t understand it.

ChatGPT — 2025-11-17T15:41:57-08:00 · gpt-5-1-thinking

Yeah, at this point I’m with you: easiest, least-annoying path is to nuke the install, keep the models, and reinstall clean so every default is exactly what A1111 expects.

We’ll:

Backup your models
Throw away the mangled install
Re-clone, re-venv, re-run
Then fix the desktop icon to use the clean startup

1️⃣ Stop Stable Diffusion

If it’s running, stop it with CTRL+C in the terminal window.

2️⃣ Backup your models

We only really care about the .safetensors you downloaded.

mkdir -p ~/sd-models-backup

cd ~/stable-diffusion/stable-diffusion-webui

# If the models folder exists, copy it out
if [ -d models ]; then
  cp -r models/* ~/sd-models-backup/
fi

Now your SDXL base, refiner, etc. are safe in ~/sd-models-backup.

3️⃣ Remove the current A1111 install

cd ~/stable-diffusion
rm -rf stable-diffusion-webui

That’s it. All config, outputs, weird paths, venv – gone.

4️⃣ Fresh clone of Automatic1111

cd ~/stable-diffusion
git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
cd stable-diffusion-webui

5️⃣ Restore your models into the new install

mkdir -p models/Stable-diffusion
cp -r ~/sd-models-backup/* models/Stable-diffusion/ 2>/dev/null || true

If that folder’s empty, no harm done – we just skip.

6️⃣ Create a fresh venv with Python 3.10.14

Use the explicit pyenv Python you already have:

[HOME]/.pyenv/versions/3.10.14/bin/python -m venv venv
source venv/bin/activate
pip install --upgrade pip

(That pip upgrade is optional but keeps it quiet.)

7️⃣ Set up `webui-user.sh` with sane defaults

cp webui-user.sh.example webui-user.sh
nano webui-user.sh

Put this inside:

export python_cmd="[HOME]/.pyenv/versions/3.10.14/bin/python"
export COMMANDLINE_ARGS="--xformers --listen --api"

Save (Ctrl+O, Enter), exit (Ctrl+X).

We’re not touching output paths, Pictures, or anything else. Pure defaults.

8️⃣ Run once from the terminal and test

From the same folder:

./webui.sh

First run will:

Install torch/torchvision for 3.10
Install xformers
Start the UI

When it says:

Running on local URL:  http://127.0.0.1:7860

Open that in your browser, generate one image, and check:

Preview shows during generation
Preview stays after saving
The image file exists in:
~/stable-diffusion/stable-diffusion-webui/outputs/txt2img-images/

If that’s all true, we’re back to factory defaults and the weird gallery behavior is gone.

9️⃣ Fix the desktop launcher to use the clean setup

Edit your desktop icon:

nano ~/Desktop/Start-StableDiffusion.desktop

Make the Exec line:

Exec=/bin/bash -c "cd [HOME]/stable-diffusion/stable-diffusion-webui && ./webui.sh"

Since webui-user.sh now holds --xformers --listen --api and python_cmd, we don’t need to cram that into the launcher anymore.

Save, exit:

chmod +x ~/Desktop/Start-StableDiffusion.desktop

Double-click → it should behave exactly like your working terminal test.

If, after this fresh install, the preview still vanishes after saving, then we know it’s not your configs or folder layout – it would be something very specific we can see from the terminal output. But I strongly expect this reset to put everything back into the “it just works” state.

Darren — 2025-11-17T15:49:17-08:00

Actually, I didn’t have to change a thing on the desktop icon, and it’s working the way it’s supposed to. Thanks for that. We’re back to normal. And since I now know where the outputs directory lives, I’m not going to worry about having it in pictures. We’re just going to leave it where it is, and if I need to put some pictures in somewhere else, I can manually copy them. I have no issue doing that. So, I think we’re good to go. Now, we can get back to… Since we have added Listen and API to the command line, it should be ready to go to be connected to front loop way. And… What do you recommend from this point forward?

ChatGPT — 2025-11-17T15:49:44-08:00 · gpt-5-1-thinking

Nice. We’ve got Stable Diffusion reset, sane, and listening with API on maindesk — that’s exactly where we want to be before wiring Ougway into it.

Given that, here’s what I recommend next, in order.

1️⃣ Treat maindesk as the “image forge” server

You’ve already got A1111 starting with:

--listen
--api

So from Ougway’s box, what we need is just a reachable URL like:

http://<maindesk-ip>:7860

On maindesk, grab the LAN IP:

hostname -I

Pick the 192.168.x.x-style address, e.g. [LOCAL HOST].

From Ougway’s machine, test:

curl http://[LOCAL HOST]:7860/sdapi/v1/sd-models

If A1111 is up, you’ll get a JSON blob listing your models. That’s your proof the “pipe” is open.

2️⃣ Wire A1111 into OpenWebUI’s built-in image integration

OpenWebUI already knows how to talk to AUTOMATIC1111; we just point it at your maindesk instance. (Sources: A friendly guide to local AI image gen with Stable Diffusion …)

On the Ougway / OpenWebUI side:

Open the OpenWebUI web interface.
Go to Admin / Settings (top-right menu).
Find the Images section (wording may be “Image generation” or similar).
Set:
– Image engine / provider: AUTOMATIC1111
– Base URL:
text http://[LOCAL HOST]:7860
(or whatever IP you saw from hostname -I).

Save.

Behavior from then on:

You’ll get an image button in chat.
LLaMA can generate text, you hit the image button, OpenWebUI sends the prompt to A1111.
If A1111 is not running, only that image call fails (timeout / error toast); it does not nag constantly in the background. (Sources: Open Web UI: Run local chat app with Image Generation …)

Which matches your “I don’t want it whining all the time if the forge is cold” requirement.

3️⃣ Test the end-to-end loop

On Ougway / OpenWebUI:

Start a chat with your usual LLaMA model.
Ask it:
“Give me a short image prompt of a surreal tree-city in the clouds.”
Use the image button (or whatever UI element appears) to send that prompt to SD.

You should see:

Job shows up in A1111’s console on maindesk.
VRAM usage spikes.
A finished image appears back in OpenWebUI chat.

If that works once, the plumbing is good.

4️⃣ Later: make it tool-aware and failure-graceful

Once the basic integration is alive, then we can:

Add a custom image “tool” in OpenWebUI that:
Calls http://maindesk:7860/sdapi/v1/txt2img
Catches connection errors and replies with something like
“Image forge is offline; responding in text only.”

So Ougway can attempt images when asked, but never breaks the flow if maindesk is sleeping.

TL;DR – my recommendation from here

Confirm A1111 API is reachable from Ougway via curl.
Configure OpenWebUI → Images → AUTOMATIC1111 + base URL to maindesk.
Do one round-trip test: LLaMA prompt → A1111 → image in chat.
After that, if you want full “Little O can request images himself,” we design the tool wrapper.

If you want, next message I can write you a tiny “standard prompt pattern” for Ougway to use when you say things like:

“Forge an image of X using SDXL.”

Darren — 2025-11-17T15:51:35-08:00

[LOCAL HOST]

ChatGPT — 2025-11-17T15:51:41-08:00 · gpt-5-1-thinking

Perfect, that’s exactly what we need.
So maindesk (Stable Diffusion / A1111) is at:

[LOCAL HOST]

Let’s wire things up step by step.

1️⃣ Quick API sanity check from Ougway

On Ougway’s machine, with A1111 running on maindesk, run:

curl http://[LOCAL HOST]:7860/sdapi/v1/sd-models

If you see a JSON list (model names, etc.) → the pipe is open ✅
If it hangs or errors, we troubleshoot network / firewall.

Assuming that works, move on.

2️⃣ Point OpenWebUI at A1111 on maindesk

On Ougway, open your OpenWebUI in the browser.

Rough steps (names can vary a bit depending on version):

Go to Settings (usually the gear icon or your profile menu).
Look for an Images / Image Generation / Integrations section.
Set:
– Provider / Engine: AUTOMATIC1111 (or “Stable Diffusion WebUI”)
– Base URL / Endpoint:
text http://[LOCAL HOST]:7860
Save / Apply.

From now on, when you use the image button or image mode in OpenWebUI, it will send prompts to that A1111 instance on maindesk.

If A1111 isn’t running:
– Text chat still works normally.
– Only the image calls themselves fail (no constant whining in the background).

3️⃣ Do a full round-trip test

On OpenWebUI / Ougway:

Start a chat with your usual LLaMA model.
Ask it:

“Give me a one-sentence image prompt of a surreal copper tree growing out of a torus city in the clouds.”
Copy that prompt into the image generation UI/button in OpenWebUI (however it exposes the AUTOMATIC1111 integration).
Watch maindesk’s A1111 terminal:
– You should see a POST to /sdapi/v1/txt2img
– GPU usage goes up
– An image is generated and returned to OpenWebUI.

If you see the image appear back in the OpenWebUI interface, you’re done: the two machines are officially talking.

4️⃣ Optional: a “standard spell” for Ougway to use

If you want Little O to always phrase image prompts in a consistent way for SDXL, you can adopt a pattern like:

“SDXL: [subject], [style/medium], [lighting], [mood], ultra-detailed, 4k, high dynamic range.”

Example:

“SDXL: a copper torus city wrapped around a glowing tree of light, isometric, cinematic lighting, ethereal atmosphere, ultra-detailed, 4k, high dynamic range.”

You can tell Ougway:

“When I say ‘forge an image of X’, respond with just an SDXL-ready prompt in one sentence.”

Then you drop that straight into the OpenWebUI → A1111 image generator.

If you want to go one step further next, we can design a tool wrapper spec for OpenWebUI so that:

Ougway can call http://[LOCAL HOST]:7860/sdapi/v1/txt2img directly,
and if the call fails (A1111 off), it just says “image forge is offline” and continues chatting.

But first, I’d do the curl test + one real image round-trip and confirm everything feels solid.

Darren — 2025-11-17T15:59:05-08:00

http://[LOCAL HOST]:7860The address is fine in the browser, but when I try to put the address in to the automatic 111 item in settings, it says server is not valid.

ChatGPT — 2025-11-17T15:59:51-08:00 · gpt-5-1-thinking

Nice, that helps narrow it down.

OpenWebUI is pickier than your browser: it doesn’t just check that
http://[LOCAL HOST]:7860 loads a page — it tries to talk specifically to the A1111 API (/sdapi/v1/...). If that check fails for any reason, you get “server is not valid.”

Let’s do this in a tight sequence.

1️⃣ Make sure the A1111 API is really up

On Ougway (the machine running OpenWebUI), with A1111 running on maindesk, run:

curl http://[LOCAL HOST]:7860/sdapi/v1/sd-models

You should see a chunk of JSON listing your checkpoints (model names, etc).

If you see JSON → API is good, network is good ✅
If you get connection refused / timed out → A1111 isn’t reachable from Ougway
If you get 404 / HTML page → A1111 is running, but --api isn’t actually enabled

If you get anything other than JSON, restart A1111 and make sure --api is in effect. With your current setup that should mean:

cd ~/stable-diffusion/stable-diffusion-webui
./webui.sh --xformers --listen --api

(or it’s coming from webui-user.sh).

2️⃣ Use the exact form OpenWebUI expects

In OpenWebUI → Admin Panel → Settings → Images (or similar):

In the AUTOMATIC1111 Base URL field, use this exact string:

http://[LOCAL HOST]:7860/

Two gotchas that often trigger “server not valid”:

Missing trailing slash
Docs and examples for OpenWebUI + A1111 all show a trailing / in the base URL, and some builds are dumb and actually check for it. (Sources: Connecting Stable Diffusion WebUI to your locally running …)
Wrong endpoint assumption
OpenWebUI validates by calling something like:
GET <base-url>sdapi/v1/sd-models
If your base URL is valid but /sdapi/v1/sd-models isn’t (no --api, wrong port, etc.), it marks the server invalid.

So: base URL should be exactly:

http://[LOCAL HOST]:7860/

—not localhost, not HTTPS, not missing the slash.

3️⃣ If it still says “server not valid”

Then one of these is true:

curl http://[LOCAL HOST]:7860/sdapi/v1/sd-models fails from Ougway
→ network / firewall issue between the two machines.
The API path returns 404/HTML
→ --api isn’t actually active even though we think it is.
OpenWebUI is inside Docker with odd networking and needs a different host, like http://host.docker.internal:7860/ (only if OpenWebUI is in a container and maindesk is the same host, which in your case it isn’t). (Sources: Unable to Connect Automatic1111 to Open WebUI #7661)

Given you can hit http://[LOCAL HOST]:7860 in the browser, my bet is:

API endpoint URL is fine,
but OpenWebUI is failing its /sdapi/v1/sd-models probe because of either:
missing --api, or
the missing trailing / in the base URL.

If you want, you can paste me the curl output of:

curl http://[LOCAL HOST]:7860/sdapi/v1/sd-models

and I’ll tell you exactly which side is grumpy. But you should be able to get it to flip from “server is not valid” to happy just by:

Confirming that curl JSON works, and
Using http://[LOCAL HOST]:7860/ (with slash) as the Base URL.

Darren — 2025-11-17T16:01:17-08:00

[USER]@[HOST]:~/Desktop$ curl http://[LOCAL HOST]:7860/sdapi/v1/sd-models
[{“title”:”Stable-diffusion/sd_xl_base_1.0.safetensors [31e35c80fc]”,”model_name”:”Stable-diffusion_sd_xl_base_1.0″,”hash”:”31e35c80fc”,”sha256″:”31e35c80fc4829d14f90153f4c74cd59c90b779f6afe05a74cd6120b893f7e5b”,”filename”:”[HOME]/stable-diffusion/stable-diffusion-webui/models/Stable-diffusion/Stable-diffusion/sd_xl_base_1.0.safetensors”,”config”:null},{“title”:”Stable-diffusion/sd_xl_refiner_1.0.safetensors”,”model_name”:”Stable-diffusion_sd_xl_refiner_1.0″,”hash”:null,”sha256″:null,”filename”:”[HOME]/stable-diffusion/stable-diffusion-webui/models/Stable-diffusion/Stable-diffusion/sd_xl_refiner_1.0.safetensors”,”config”:null},{“title”:”Stable-diffusion/v1-5-pruned-emaonly.safetensors”,”model_name”:”Stable-diffusion_v1-5-pruned-emaonly”,”hash”:null,”sha256″:null,”filename”:”[HOME]/stable-diffusion/stable-diffusion-webui/models/Stable-diffusion/Stable-diffusion/v1-5-pruned-emaonly.safetensors”,”config”:null}][USER]@[HOST]:~/Desktop$

I should note there’s a space just under the settings tab for shunting this over to automatic 111 for an API authentication string. Do we need to do that?

ChatGPT — 2025-11-17T16:01:37-08:00 · gpt-5-1-thinking

Nice, that curl output is exactly what I wanted to see — A1111’s API is 100% alive and reachable from Ougway. ✅

So:

curl http://[LOCAL HOST]:7860/sdapi/v1/sd-models

returning that JSON list =

Network is fine
Port 7860 is open
--api is working
Base URL for OpenWebUI is correct

About that “API authentication string” field

Short answer: No, you don’t need to fill that in unless you’ve explicitly turned on auth in Automatic1111.

You only need an auth string if, on maindesk, you start A1111 with something like:

--api-auth user:pass
or similar flags that enforce credentials.

We haven’t done that. You’re just running:

./webui.sh --xformers --listen --api

with no auth flags → no key/credentials are required.

So in OpenWebUI:

Base URL:
text http://[LOCAL HOST]:7860/
(include the trailing / just to keep its validator happy)
API auth / key / token field:
👉 Leave it blank

If OpenWebUI still says “server not valid” even though:

curl works (as it does), and
base URL is http://[LOCAL HOST]:7860/

then it’s just its little validation probe being dumb. At that point I’d still:

Save the config anyway.
Try to actually generate an image from OpenWebUI using the A1111 engine.
If it errors, we look at the OpenWebUI logs for the real complaint.

But to answer your direct question:

“Do we need to do that [API auth string]?”

No. Not with the way your A1111 is currently running. Leave that field empty.

Darren — 2025-11-17T16:03:55-08:00

When I tried to save it, it pointed out a field that I hadn’t noticed at the very top for Select a Model. However, there’s no drop-down to select a model from. What should I put in there since it won’t let me save without it?

ChatGPT — 2025-11-17T16:03:58-08:00 · gpt-5-1

Ahhh — that explains it.
OpenWebUI’s Automatic1111 integration changed recently and now requires you to select a “model identifier” for the A1111 backend before it will save the configuration — but it does NOT auto-populate the list unless one piece is satisfied:

✅ OpenWebUI only fills the model dropdown after:

The Base URL is accepted, and
It receives a valid JSON response from:
/sdapi/v1/sd-models

You are getting the JSON (your curl test proves it), but the UI isn’t populating the dropdown automatically. So we will enter a valid model name manually.

Good news:
OpenWebUI will accept any string for that field.
But to be clean and future-proof, we’ll give it the actual model name as returned by the API.

✅ Extracting the correct model names from your API response

Your curl output included 3 models:

Model 1:

Stable-diffusion_sd_xl_base_1.0

Model 2:

Stable-diffusion_sd_xl_refiner_1.0

Model 3:

Stable-diffusion_v1-5-pruned-emaonly

These are exactly what OpenWebUI expects.

✅ What you should put in the “Select a Model” field

Use one of these (I recommend the base SDXL):

Stable-diffusion_sd_xl_base_1.0

This will satisfy OpenWebUI’s validator and allow the settings to save.

🔧 Step-by-step instructions

In OpenWebUI → Settings → Image Generation → AUTOMATIC1111
Fill in:

Base URL:

http://[LOCAL HOST]:7860/

Select a Model:

Stable-diffusion_sd_xl_base_1.0

API Key / Auth:

(leave empty)

Click Save
It will stop complaining and the A1111 integration becomes active.

🚀 Test it immediately

In OpenWebUI:

Open a chat
Click the image button
Enter a simple prompt
Generate

If everything is correct:

A1111 on maindesk will show an incoming request
GPU usage spikes
Image comes back into OpenWebUI

🎉 You’re right on the edge of this working.

The missing piece was that “model” field — and OpenWebUI doesn’t auto-populate it yet, even though it should.

Paste this in and you’re good:

Stable-diffusion_sd_xl_base_1.0

Let me know if the Save succeeds — it should. Then we’ll run a full end-to-end test.

Darren — 2025-11-17T16:07:31-08:00

Well, I tried to run it anyway, like you mentioned. Now it gives me a different error when I try to go back into the admin settings.
[ERROR: Invalid URL ‘/sdapi/v1/sd-models’: No scheme supplied. Perhaps you meant https:///sdapi/v1/sd-models?]

ChatGPT — 2025-11-17T16:09:27-08:00 · gpt-5-1-thinking

Yeah, that error is OpenWebUI having a little identity crisis 😄

Invalid URL '/sdapi/v1/sd-models': No scheme supplied…

That means:
OpenWebUI is trying to call /sdapi/v1/sd-models with no base URL at all – i.e. it lost or never properly stored the AUTOMATIC1111 Base URL.

We already know from your curl test that A1111 is reachable:

curl http://[LOCAL HOST]:7860/sdapi/v1/sd-models

So the fix is just to give OpenWebUI a proper base URL with the scheme included.

What to put in the fields

In Admin → Settings → Images / Image Generation / AUTOMATIC1111 (wording may vary slightly depending on version), use:

Base URL (or AUTOMATIC1111 Base URL):

http://[LOCAL HOST]:7860

Important:

Include the http://
Do not add /sdapi or any path.
No trailing slash is safest: ...:7860, not ...:7860/ (the backend adds /sdapi/... itself).
API key / auth:
Leave this empty (your A1111 isn’t using an API key).
Model / Select a Model (once the URL is valid and it can fetch models):
Pick the XL base model from the list when it appears, which corresponds to what you saw in curl:

json "model_name": "Stable-diffusion_sd_xl_base_1.0"

So in the dropdown, select the entry that looks like:

Stable-diffusion/sd_xl_base_1.0.safetensors [...]

Then hit Save.

If the error pops but the page still loads

If, when opening Admin → Settings, you see the red error toast but the page itself is visible:

Ignore the toast.
Scroll to the image / AUTOMATIC1111 section.
Fix the Base URL to http://[LOCAL HOST]:7860.
Save again.

Once that field is a real URL, the call to /sdapi/v1/sd-models will become:

http://[LOCAL HOST]:7860/sdapi/v1/sd-models

…and the error should go away.

If after that it’s still throwing a fit, we can do a “config reset on start” for just the WebUI settings and re-enter them clean — but try the simple base-URL fix first.

Darren — 2025-11-17T16:20:37-08:00

I restarted the machine, and I restarted the diffuser, and I noticed that when it’s launching, it’s giving two sets of the command line parameters. I’m not going to do that. That might be part of our issue.

Launching Web UI with arguments: –xformers –listen –api –xformers –listen –api

ChatGPT — 2025-11-17T16:20:51-08:00 · gpt-5-1-thinking

Yep, you spotted it exactly: it’s running the same flags twice because we’re passing them from two places.

What’s happening:

webui-user.sh is adding:
--xformers --listen --api
Your desktop icon is also running:
./webui.sh --xformers --listen --api

So webui.sh prints:

Launching Web UI with arguments: --xformers --listen --api --xformers --listen --api

That looks ugly, but it doesn’t actually break anything – A1111 just sees the same flags twice and shrugs. Still, let’s clean it up so it’s sane.

1️⃣ Keep the flags in `webui-user.sh` (source of truth)

On maindesk:

cd ~/stable-diffusion/stable-diffusion-webui
nano webui-user.sh

Make sure it looks like this (or change it to this):

export python_cmd="[HOME]/.pyenv/versions/3.10.14/bin/python"
export COMMANDLINE_ARGS="--xformers --listen --api"

Save (Ctrl+O, Enter), exit (Ctrl+X).

That’s all we need there.

2️⃣ Make the desktop icon not pass any extra flags

Edit your desktop launcher:

nano ~/Desktop/Start-StableDiffusion.desktop

Change the Exec= line to this:

Exec=/bin/bash -c "cd [HOME]/stable-diffusion/stable-diffusion-webui && ./webui.sh"

So the full file should basically be:

[Desktop Entry]
Type=Application
Name=Stable Diffusion WebUI
Comment=Launch Automatic1111
Exec=/bin/bash -c "cd [HOME]/stable-diffusion/stable-diffusion-webui && ./webui.sh"
Terminal=true
Icon=utilities-terminal
Categories=Graphics;

Save, exit:

chmod +x ~/Desktop/Start-StableDiffusion.desktop

Now when you start it, you should see:

Launching Web UI with arguments: --xformers --listen --api

Just once. 😄

3️⃣ Reassurance: this wasn’t what broke OpenWebUI

Those duplicated flags are not what caused the OpenWebUI "Invalid URL '/sdapi/v1/sd-models'" error.

That error comes only from the OpenWebUI side when its Base URL for AUTOMATIC1111 is empty or malformed.

Once you’re happy that maindesk starts cleanly with a single set of args, the next steps back on Ougway are just:

In OpenWebUI’s AUTOMATIC1111 settings, set:
Base URL: http://[LOCAL HOST]:7860
Model: Stable-diffusion_sd_xl_base_1.0
Leave API/auth empty
Save, then try an image.

But first: get that startup line looking clean again. After you relaunch via the icon and confirm it only prints the args once, we’ll know the diffuser side is perfectly tidy.

Darren — 2025-11-17T16:25:38-08:00

i dont think its going to work unless that model field can show the model list

ChatGPT — 2025-11-17T16:25:45-08:00 · gpt-5-1-thinking

Yeah, I get why you’re feeling that. If the dropdown never populates, it looks like you’re stuck. But based on how OpenWebUI + A1111 works under the hood, two key points:

Your A1111 API is definitely fine.
That curl result from Ougway:

bash curl http://[LOCAL HOST]:7860/sdapi/v1/sd-models

already shows OpenWebUI could see the models if its own validator wasn’t being weird.

On some builds, the model dropdown is just a text field with validation, not a “live picker” – and if the Base URL is off even slightly at the moment you open that page, it never gets populated and then it complains forever until the config is cleaned up.

So here’s what I suggest: we do a small reset of just that integration config, and then we force OpenWebUI to reload the models from the API.

Step 1 – Make sure diffuser side is perfect

You’ve already basically got this, but let’s lock it in:

On maindesk:

cd ~/stable-diffusion/stable-diffusion-webui
./webui.sh

And in webui-user.sh:

export python_cmd="[HOME]/.pyenv/versions/3.10.14/bin/python"
export COMMANDLINE_ARGS="--xformers --listen --api"

When it starts, you should see:

Running on local URL:  http://0.0.0.0:7860

and

Launching Web UI with arguments: --xformers --listen --api

(one set, not doubled)

And from Ougway:

curl http://[LOCAL HOST]:7860/sdapi/v1/sd-models

still returns that JSON list. Good.

Step 2 – Clean up the broken A1111 config in OpenWebUI

What’s likely happened is:

At some point, the Base URL was blank or malformed.
OpenWebUI tried to validate and now has a half-broken entry that fails every time and never fetches models.

We fix that by:

Go to Admin → Settings → Models / Backends.
Find the Automatic1111 / AUTOMATIC1111 entry you were editing.
Delete / Remove that backend/connection if there’s an option to do so.
Save / Apply.

Basically: wipe the broken one instead of trying to salvage it.

Then restart OpenWebUI (stop/start the service or Docker container, whatever you’re using), so it comes back clean.

Step 3 – Re-add Automatic1111 cleanly

Back in OpenWebUI Admin:

Add a new Image Backend or AUTOMATIC1111 connection.
Very carefully set:

Base URL:
text http://[LOCAL HOST]:7860

(include http://, no /sdapi, no extra path)

At this point, if the UI is behaving, it should immediately try to reach:

text http://[LOCAL HOST]:7860/sdapi/v1/sd-models

and fill the model list. If it does, awesome: pick your SDXL base model from the dropdown and save.

If the dropdown still doesn’t populate, but the Base URL is saved without error, that’s fine — we can work around it:

Treat the “model” field as a plain text field and type in:

text Stable-diffusion_sd_xl_base_1.0

Save.

Your curl output proves that’s a valid model_name, which is what the backend actually uses.

Step 4 – Confirm by actually making it draw

Regardless of how pretty the dropdown is:

Start a chat in OpenWebUI.
Switch to the image mode / click the image button.
Enter a prompt and tell it to use the AUTOMATIC1111 backend.
Watch maindesk terminal — if you see a txt2img job come in and an image get generated, then:
Integration is working.
The “model dropdown” was just a UI bug / validator quirk, not a real block.

If after a clean delete + re-add, with http://[LOCAL HOST]:7860 as the Base URL, it still refuses to save or populate models, that tells me your OpenWebUI build is just being extra picky. In that case, next options would be:

Edit OpenWebUI’s config file directly (bypass the web form).
Or skip its built-in A1111 integration entirely and use a custom tool that calls http://[LOCAL HOST]:7860/sdapi/v1/txt2img via a small Python helper.

We don’t have to jump there yet, though. Try:

Delete broken A1111 backend in OpenWebUI.
Restart OpenWebUI.
Add it back with just:
– Base URL: http://[LOCAL HOST]:7860
– Model: Stable-diffusion_sd_xl_base_1.0 (typed in, if needed).

Then see if you can actually generate a single image from OpenWebUI. If the UI still fights you on saving, tell me exactly what fields it’s screaming about and the text of the error, and I’ll route around that specific landmine.

Darren — 2025-11-17T16:34:18-08:00

Well, before we go any further, I’ve been reading up on connectivity issues for Stable Diffusion and OpenWebUI. We’re running OpenWebUI 1.0 in a Docker interface, which I hate. Is it possible to not have to do that on the side? No. But at the same time, we’ve also got an HTTPS cert in there. And we’re connecting to a non-certed box that’s trying to communicate back to a certed server. Is that going to be an issue in any way?

ChatGPT — 2025-11-17T16:34:28-08:00 · gpt-5-1-thinking

Good catch doing a sanity pass before we keep bashing at settings. Let’s untangle the pieces.

1. Docker + OpenWebUI 1.0 – are you forced to use Docker?

No, you’re not hard-locked into Docker forever.

OpenWebUI can run:

In Docker (what you have now)
Directly on the host with pip/uv / bare-metal install

The 1.0 docs push the Docker route because it’s clean and portable, but under the hood it’s just a Python app + a little frontend. So if you really want:

Ougway (host) running OpenWebUI without Docker
Still using your existing HTTPS front (Caddy)
Talking out to maindesk over HTTP

That’s totally doable; it’s just a bit of migration work. We don’t have to do it right this second, but yes: running it non-Docker on Ougway is absolutely an option.

2. HTTPS on OpenWebUI ⇄ HTTP on Stable Diffusion – is that a problem?

Short answer: No, not for what you’re doing.

Here’s why:

Your browser talks to OpenWebUI over HTTPS (through Caddy).
The OpenWebUI backend (inside Docker) talks to Stable Diffusion on maindesk over HTTP on the LAN:
http://[LOCAL HOST]:7860.

Those are two separate connections:

Browser ⇄ (HTTPS) ⇄ Ougway / Caddy / OpenWebUI
OpenWebUI backend ⇄ (HTTP) ⇄ maindesk / A1111

The browser never directly calls the Stable Diffusion API, so there is no mixed-content issue from the browser’s point of view. It just sees one HTTPS site (OpenWebUI). All A1111 traffic happens server-side inside OpenWebUI.

So:
– No cert on maindesk is fine.
– HTTPS on Ougway doesn’t block this setup.

The only time HTTPS vs HTTP becomes a real blocker is if:

JavaScript in the browser tries to call http://[LOCAL HOST]:7860 directly from a https:// page → then you get mixed-content errors. But that’s not how the A1111 integration is designed; it’s the backend doing the calls.

3. So what’s actually biting us?

Likely one (or both) of:

OpenWebUI’s A1111 integration + Docker networking weirdness
Inside Docker, “localhost” is the container, not the host. But you’re already using the LAN IP ([LOCAL HOST]), and curl from Ougway’s host works, so this is probably fine.
OpenWebUI 1.0’s validator / UI bug with the “model” field
The error you saw (Invalid URL '/sdapi/v1/sd-models': No scheme supplied) is OpenWebUI complaining about its own internal base URL, not about TLS. It means at some point that field was blank or malformed, so it tried to call '/sdapi/v1/sd-models' instead of 'http://[LOCAL HOST]:7860/sdapi/v1/sd-models'.

The TLS/HTTPS on Ougway is not the thing breaking this. The evidence:

curl http://[LOCAL HOST]:7860/sdapi/v1/sd-models from Ougway works.
You can hit http://[LOCAL HOST]:7860 in browser.
Only OpenWebUI’s internal validator is whining.

4. Strategic options from here

You’ve got two realistic paths:

Option A – Stick with Docker OpenWebUI and beat its A1111 UI into submission

We clean its config (delete the broken A1111 backend entry, re-add from scratch).
Set:
Base URL: http://[LOCAL HOST]:7860
Model: Stable-diffusion_sd_xl_base_1.0 (from the JSON you saw)
If the dropdown never populates, we type the model name manually and see if image calls actually work, ignoring the “valid/invalid” badge.

Option B – Say “screw Docker,” install OpenWebUI directly on Ougway

Stop the Docker container.
Install OpenWebUI on the host (Python/uv route).
Point Caddy at the local OpenWebUI port.
Configure A1111 exactly the same way (http://[LOCAL HOST]:7860).
Now everything (OpenWebUI + LLaMA + network) lives at host level, no container networking quirks.

If you already hate Docker and this is the first major integration you’re trying, I’d lean toward Option B in the medium term – it matches how you run the rest of Ougway, and it will make future wiring (tools, scripts, logging) less annoying.

We don’t have to rip it out this second, but:

HTTPS vs HTTP is not your blocker.
Docker + OpenWebUI’s evolving A1111 integration UI is a pain vector.

If you want, next step we can do is either:

Go: “Let’s uninstall the Docker OpenWebUI and put 1.0 bare-metal on Ougway,”
and I’ll give you the exact install sequence.

Say: “Let’s try one last time to get A1111 working through Docker OpenWebUI 1.0,”
and I’ll walk you through a config reset and a minimal test that ignores the fancy dropdowns and just checks whether it can fire one actual image job.

ChatGPT — 2025-11-17T16:40:11-08:00 · gpt-5-1-thinking

Right, so two separate threads here:

HTTPS vs HTTP between Ougway and maindesk – not your blocker.
Docker + OpenWebUI’s cranky A1111 integration – is the real pain.

Let me give you a concrete path forward instead of more wrestling.

1️⃣ HTTPS + non-cert box: are we okay?

Yep.

Browser ⇄ HTTPS ⇄ Ougway/OpenWebUI (behind Caddy)
OpenWebUI backend (inside Docker) ⇄ HTTP ⇄ maindesk/A1111

Those are two independent connections:

The browser never talks directly to [LOCAL HOST]:7860, so there’s no mixed-content issue.
The HTTP call to A1111 is from backend code, not from a web page, so it doesn’t care about TLS at all.

So:
A cert on Ougway and no cert on maindesk is totally fine.
We do not need to wrap A1111 in HTTPS just to talk from OpenWebUI.

2️⃣ The real problem: Docker OpenWebUI 1.0 being fussy

Given:

You hate Docker.
You’re already doing everything else bare-metal.
We’ve confirmed the A1111 API is good (curl works).
The only thing misbehaving is OpenWebUI’s validation / UI (model field, invalid URL errors).

My recommendation:

Stop fighting Docker’s networking + that 1.0 integration UI and just move OpenWebUI onto the host.

That gives you:

Normal file paths.
Normal networking (no container IP weirdness).
Easier future scripting/tools.
Still fronted by Caddy for HTTPS, same as now.

3️⃣ Concrete next move: plan the migration

You said you don’t want to have to do Docker on this side – so here’s the practical sequence I’d use (no need to run it this second, just outlining):

Leave the Docker OpenWebUI running for now (so you don’t lose anything yet).
Install a bare-metal OpenWebUI 1.x on Ougway:
– Create a Python venv.
– Install OpenWebUI with pip/uv or their bare-metal script.
– Run it on a local port (e.g. http://127.0.0.1:8080).
Point Caddy at the new local port instead of the Docker container.
Verify:
– You can hit OpenWebUI over HTTPS as before.
– It can hit http://[LOCAL HOST]:7860 (same curl test, but from the new environment).
Once you’re happy, shut down the Docker container and forget about it.

Then we re-do the A1111 integration in that clean environment, where:

No Docker networking oddities.
Config files are just on disk you can edit.
If the UI still misbehaves, we can literally edit the JSON/YAML for the integration by hand and bypass the buggy form.

If you’d rather *

Installing Stable Diffusion with OpenWebUI, Python, and NVIDIA CUDA

Installing Stable Diffusion with OpenWebUI, Python, and NVIDIA CUDA

Provenance

Conversation

Darren — 2025-11-12T11:23:30-08:00

ChatGPT — 2025-11-12T11:23:31-08:00 · gpt-5

Darren — 2025-11-17T13:39:25-08:00

ChatGPT — 2025-11-17T13:39:28-08:00 · gpt-5-1

✅ Recommended: Automatic1111 (A1111) via Git + Python venv

🚀 Step 1 — Install Dependencies

🚀 Step 2 — Create a Directory

🚀 Step 3 — Clone Automatic1111

🚀 Step 4 — Create & Activate Python venv

🚀 Step 5 — Launch with CUDA Acceleration

🎨 Step 6 — Add a Good Model

🛰️ Option: Connect This to Little Ougway Later

🧹 Clean Operation

👍 Ready when you are

Darren — 2025-11-17T13:42:26-08:00

ChatGPT — 2025-11-17T13:42:52-08:00 · gpt-5-1-thinking

🧩 Step 1 – Install Python 3.11 + venv support

🧹 Step 2 – Remove the broken 3.12 venv in webui

🧪 Step 3 – Create a new venv with Python 3.11

🚀 Step 4 – Run A1111 again

🧠 Why this works (short version)

Darren — 2025-11-17T13:44:45-08:00

ChatGPT — 2025-11-17T13:44:46-08:00 · gpt-5-1

✅ STEP 1 — Check if PyEnv is installed

🧰 STEP 2 — Install Python 3.10 using PyEnv (preferred if PyEnv exists)

If PyEnv is installed:

🧱 STEP 2b — If PyEnv is NOT installed

🧹 STEP 3 — Rebuild A1111 venv using Python 3.10

🚀 STEP 4 — Launch A1111 again

🔍 What I need from you

Darren — 2025-11-17T13:52:44-08:00

ChatGPT — 2025-11-17T13:53:08-08:00 · gpt-5-1-thinking

1️⃣ Leave the broken venv

2️⃣ Confirm pyenv has 3.10.14

3️⃣ Make this project use 3.10.14 via pyenv

4️⃣ Nuke and recreate the venv with 3.10

5️⃣ Launch Stable Diffusion WebUI

Darren — 2025-11-17T13:54:59-08:00

ChatGPT — 2025-11-17T13:55:32-08:00 · gpt-5-1-thinking

1️⃣ Confirm: PyEnv & 3.10.14 are good

2️⃣ Nuke the old venv and recreate it with 3.10.14 explicitly

3️⃣ Tell webui.sh which Python to use (belt & suspenders)

4️⃣ Launch Stable Diffusion

5️⃣ About python vs python3 on this box

Darren — 2025-11-17T13:58:39-08:00

ChatGPT — 2025-11-17T13:58:41-08:00 · gpt-5-1

✅ 1. Put --listen into the startup permanently

webui-user.sh

✅ 2. Create a Desktop Launcher Icon (Start Stable Diffusion)

⚡ Optional: Create a STOP Icon

🎉 Ready to Go

Darren — 2025-11-17T14:13:34-08:00

ChatGPT — 2025-11-17T14:14:11-08:00 · gpt-5-1-thinking

1️⃣ Make sure the model folder exists

2️⃣ SDXL links (base + refiner)

3️⃣ Put them where A1111 can see them

Darren — 2025-11-17T14:55:20-08:00

ChatGPT — 2025-11-17T14:55:30-08:00 · gpt-5-1

✅ Create a Start Icon on the Desktop

Run this in terminal:

🔧 (Optional) Want a custom icon instead of the terminal icon?

Darren — 2025-11-17T14:57:12-08:00

ChatGPT — 2025-11-17T14:57:25-08:00 · gpt-5-1-thinking

Optional: easy terminal command alias

Darren — 2025-11-17T15:00:34-08:00

ChatGPT — 2025-11-17T15:01:02-08:00 · gpt-5-1-thinking

1️⃣ Letting OpenWebUI / LLaMA send jobs to A1111 without constant whining

How to wire them together conceptually

2️⃣ The “new version of pip is available” message

Option A – Ignore it

Option B – Upgrade pip inside the venv (safe)

Darren — 2025-11-17T15:03:37-08:00

ChatGPT — 2025-11-17T15:03:40-08:00 · gpt-5-1

✅ Step 1 — Update package lists

✅ Step 2 — Upgrade installed packages

🔧 (Optional but recommended after major GPU/PyEnv work)

5️⃣ About `python` vs `python3` on this box

✅ 1. Put `--listen` into the startup permanently

`webui-user.sh`

2️⃣ Move any existing images out of `Pictures` (once)

3️⃣ Make `~/Pictures/stable-diffusion` point to `outputs/`

2️⃣ Safely rescue any existing `outputs` (if they exist)