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?

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.

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.

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.

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/darren/.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.

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/darren/.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/darren/.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/darren/.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/darren/.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.

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

1. Include --listen automatically every time A1111 starts
2. Create a desktop launcher icon that starts it for you
3. (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/darren/.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/darren/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.

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

We’ll do three things:

1. Make sure the SD model folder exists
2. Give you the two SDXL links again (base + refiner)
3. 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:

1. Click the “Files and versions” tab
2. 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.

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/darren/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.

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.

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:

1. 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.

2. 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.

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:

1. NVIDIA driver still shows correctly
   bash
nvidia-smi

2. PyEnv still correctly maps 3.10.14
   bash
cd ~/stable-diffusion/stable-diffusion-webui
pyenv which python

3. 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.

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.

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:

1. 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.

2. A reachable address
   On maindesk:

bash
hostname -I

Pick the LAN IP like 192.168.1.23.

Ougway/OpenWebUI will call something like:
– http://192.168.1.23:7860/sdapi/v1/txt2img

3. 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

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

text
/home/darren/Pictures/stable-diffusion

5. Click Apply settings and then Reload UI.

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

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✅ 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/darren/Pictures/stable-diffusion \
  --outdir-txt2img /home/darren/Pictures/stable-diffusion/txt2img \
  --outdir-img2img /home/darren/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/darren/Pictures/stable-diffusion"

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

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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.

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.

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✅ 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/darren/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

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🛠 Solutions — choose one

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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/darren/Pictures/stable-diffusion

Full example:

export COMMANDLINE_ARGS="--xformers --listen --api \
  --add-path /home/darren/Pictures/stable-diffusion"

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

Restart Stable Diffusion.

Now any file under:

/home/darren/Pictures/stable-diffusion

will be accessible via:

http://localhost:7860/file=/home/darren/Pictures/stable-diffusion/<date>/<file.png>

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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/darren/Pictures/stable-diffusion external

Now A1111 will serve all files inside:

/home/darren/stable-diffusion/stable-diffusion-webui/outputs/external

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

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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.

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🎯 So what caused your specific issue?

This:

/home/darren/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.

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🔧 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/darren/Pictures/stable-diffusion

to webui-user.sh.

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

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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.

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:

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

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1️⃣ Fix the desktop launcher (remove the bad flag)

Your current .desktop:

Exec=/bin/bash -c "cd /home/darren/stable-diffusion/stable-diffusion-webui && source venv/bin/activate && ./webui.sh --xformers --listen --api --add-path /home/darren/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/darren/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.)

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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:

1. Open the WebUI → Settings → Saving images/grids
2. 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

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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.