services/homelab
1
1
Fork 0
Code Issues 5 Pull Requests Actions Packages Projects Releases Wiki Activity

move ai notes from framework_desktop to software_ai_stack

Browse Source
This commit is contained in:
Reese Wells
2026-02-25 12:20:17 -05:00
parent da0b06768e
commit ba66c47719
17 changed files with 552 additions and 550 deletions
Download Patch File Download Diff File Expand all files Collapse all files

546
active/device_framework_desktop/framework_desktop.md
View File

@@ -6,36 +6,7 @@
- [Notes](#notes)
- [Firmware and Kernel](#firmware-and-kernel)
- [Kernel args](#kernel-args)
- [Volume Locations](#volume-locations)
- [Setup](#setup)
- [Create the AI user](#create-the-ai-user)
- [Helper aliases](#helper-aliases)
- [Create the models dir](#create-the-models-dir)
- [Install the Hugging Face CLI](#install-the-hugging-face-cli)
- [Samba Model Storage](#samba-model-storage)
- [Download models](#download-models)
- [Text models](#text-models)
- [GPT-OSS](#gpt-oss)
- [Mistral](#mistral)
- [Nemotron](#nemotron)
- [Qwen](#qwen)
- [GLM](#glm)
- [Llama](#llama)
- [Gemma](#gemma)
- [Dolphin (Abliterated)](#dolphin-abliterated)
- [Image models](#image-models)
- [Z-Image](#z-image)
- [Flux](#flux)
- [Qwen Image 2512](#qwen-image-2512)
- [Embedding Models](#embedding-models)
- [Nomic](#nomic)
- [llama.cpp](#llamacpp)
- [stable-diffusion.cpp](#stable-diffusioncpp)
- [open-webui](#open-webui)
- [VLLM](#vllm)
- [Install the whole thing with quadlets (TM)](#install-the-whole-thing-with-quadlets-tm)
- [Install the update script](#install-the-update-script)
- [Install Guest Open Webui with Start/Stop Services](#install-guest-open-webui-with-startstop-services)
- [AI](#ai)
## BIOS
@@ -65,517 +36,6 @@ amd_iommu=off amdgpu.gttsize=126976 ttm.pages_limit=32505856
Then `grub2-mkconfig -o /boot/grub2/grub.cfg` and `reboot`.
### Volume Locations
## AI
`~/.local/share/containers/storage/volumes/`
## Setup
### Create the AI user
```bash
# Create your local ai user. This will be the user you launch podman processes from.
useradd -m ai
loginctl enable-linger ai
su -l ai
mkdir -p /home/ai/.config/containers/systemd/
mkdir -p /home/ai/.ssh
```
Models are big. You'll want some tools to help find large files quickly when space runs out.
### Helper aliases
Add these to your .bashrc:
```bash
# Calculate all folder sizes in current dir
alias {dudir,dud}='du -h --max-depth 1 | sort -h'
# Calculate all file sizes in current dir
alias {dufile,duf}='ls -lhSr'
# Restart llama-server / follow logs
alias llama-reload="systemctl --user daemon-reload && systemctl --user restart llama-server.service"
alias llama-logs="journalctl --user -fu llama-server"
# Restart stable diffusion gen and edit server / follow logs
alias sd-gen-reload='systemctl --user daemon-reload && systemctl --user restart stable-diffusion-gen-server'
alias sd-gen-logs='journalctl --user -xeu stable-diffusion-gen-server'
alias sd-edit-reload='systemctl --user daemon-reload && systemctl --user restart stable-diffusion-edit-server'
alias sd-edit-logs='journalctl --user -xeu stable-diffusion-edit-server'
```
### Create the models dir
```bash
mkdir -p /home/ai/models/{text,image,video,embedding,tts,stt}
```
### Install the Hugging Face CLI
<https://huggingface.co/docs/huggingface_hub/en/guides/cli#getting-started>
```bash
# Install
curl -LsSf https://hf.co/cli/install.sh | bash
# Login
hf auth login
```
### Samba Model Storage
I recommend adding network storage for keeping models offloaded. This mounts a samba share at `/srv/models`.
```bash
# Add this to /etc/fstab
//driveripper.reeselink.com/smb_models /srv/models cifs _netdev,nofail,uid=1001,gid=1001,credentials=/etc/samba/credentials 0 0
# Then mount
systemctl daemon-reload
mount -a --mkdir
```
Here are some sync commands that I use to keep the samba share in sync with the home directory:
```bash
# Sync models from home dir to the samba share
rsync -av --progress /home/ai/models/ /srv/models/
```
### Download models
#### Text models
<https://huggingface.co/ggml-org/collections>
##### GPT-OSS
```bash
# gpt-oss-120b
mkdir /home/ai/models/text/gpt-oss-120b
hf download --local-dir /home/ai/models/text/gpt-oss-120b ggml-org/gpt-oss-120b-GGUF
# gpt-oss-20b
mkdir /home/ai/models/text/gpt-oss-20b
hf download --local-dir /home/ai/models/text/gpt-oss-20b ggml-org/gpt-oss-20b-GGUF
```
##### Mistral
```bash
# devstral-2-123b
mkdir /home/ai/models/text/devstral-2-123b
hf download --local-dir /home/ai/models/text/devstral-2-123b unsloth/Devstral-2-123B-Instruct-2512-GGUF Q4_K_M/Devstral-2-123B-Instruct-2512-Q4_K_M-00001-of-00002.gguf
hf download --local-dir /home/ai/models/text/devstral-2-123b unsloth/Devstral-2-123B-Instruct-2512-GGUF Q4_K_M/Devstral-2-123B-Instruct-2512-Q4_K_M-00002-of-00002.gguf
# devstral-small-2-24b
mkdir /home/ai/models/text/devstral-small-2-24b
hf download --local-dir /home/ai/models/text/devstral-small-2-24b unsloth/Devstral-Small-2-24B-Instruct-2512-GGUF Devstral-Small-2-24B-Instruct-2512-Q4_K_M.gguf
# ministral-3-14b
mkdir /home/ai/models/text/ministral-3-14b
hf download --local-dir /home/ai/models/text/ministral-3-14b ggml-org/Ministral-3-14B-Reasoning-2512-GGUF
# ministral-3-3b-instruct
mkdir /home/ai/models/text/ministral-3-3b-instruct
hf download --local-dir /home/ai/models/text/ministral-3-3b-instruct ggml-org/Ministral-3-3B-Instruct-2512-GGUF
```
##### Nemotron
```bash
# nemotron-nano-30b
mkdir /home/ai/models/text/nemotron-nano-30b
hf download --local-dir /home/ai/models/text/nemotron-nano-30b ggml-org/Nemotron-Nano-3-30B-A3B-GGUF Nemotron-Nano-3-30B-A3B-Q4_K_M.gguf
```
##### Qwen
```bash
# qwen3-30b-a3b-thinking
mkdir /home/ai/models/text/qwen3-30b-a3b-thinking
hf download --local-dir /home/ai/models/text/qwen3-30b-a3b-thinking ggml-org/Qwen3-30B-A3B-GGUF Qwen3-30B-A3B-Q4_K_M.gguf
# qwen3-30b-a3b-instruct
mkdir /home/ai/models/text/qwen3-30b-a3b-instruct
hf download --local-dir /home/ai/models/text/qwen3-30b-a3b-instruct ggml-org/Qwen3-30B-A3B-Instruct-2507-Q8_0-GGUF
# qwen3-coder-30b-a3b-instruct
mkdir /home/ai/models/text/qwen3-coder-30b-a3b-instruct
hf download --local-dir /home/ai/models/text/qwen3-coder-30b-a3b-instruct ggml-org/Qwen3-Coder-30B-A3B-Instruct-Q8_0-GGUF
# qwen3-coder-next
mkdir /home/ai/models/text/qwen3-coder-next
hf download --local-dir /home/ai/models/text/qwen3-coder-next unsloth/Qwen3-Coder-Next-GGUF --include " 5_K_M/*.gguf"
# qwen3-vl-30b-thinking
mkdir /home/ai/models/text/qwen3-vl-30b-thinking
hf download --local-dir /home/ai/models/text/qwen3-vl-30b-thinking unsloth/Qwen3-VL-30B-A3B-Thinking-1M-GGUF Qwen3-VL-30B-A3B-Thinking-1M-Q4_K_M.gguf
hf download --local-dir /home/ai/models/text/qwen3-vl-30b-thinking unsloth/Qwen3-VL-30B-A3B-Thinking-1M-GGUF mmproj-F16.gguf
# qwen3-vl-8b-instruct
mkdir /home/ai/models/text/qwen3-vl-8b-instruct
hf download --local-dir /home/ai/models/text/qwen3-vl-8b-instruct Qwen/Qwen3-VL-8B-Instruct-GGUF Qwen3VL-8B-Instruct-Q4_K_M.gguf
hf download --local-dir /home/ai/models/text/qwen3-vl-8b-instruct Qwen/Qwen3-VL-8B-Instruct-GGUF mmproj-Qwen3VL-8B-Instruct-Q8_0.gguf
# qwen3-4b-2507-abliterated
mkdir /home/ai/models/text/qwen3-4b-2507-abliterated
hf download --local-dir /home/ai/models/text/qwen3-4b-2507-abliterated prithivMLmods/Qwen3-4B-2507-abliterated-GGUF Qwen3-4B-Thinking-2507-abliterated-GGUF/Qwen3-4B-Thinking-2507-abliterated.Q4_K_M.gguf
# qwen3-48b-a4b-abliterated
mkdir /home/ai/models/text/qwen3-48b-a4b-abliterated
hf download --local-dir /home/ai/models/text/qwen3-48b-a4b-abliterated DavidAU/Qwen3-48B-A4B-Savant-Commander-Distill-12X-Closed-Open-Heretic-Uncensored-GGUF Qwen3-48B-A4B-Savant-Commander-Dstll-12X-Cl-Op-Hrtic-Uncen-Q4_K_M.gguf
```
##### GLM
```bash
# glm-4.7-flash-30b
mkdir /home/ai/models/text/glm-4.7-flash-30b
hf download --local-dir /home/ai/models/text/glm-4.7-flash-30b unsloth/GLM-4.7-Flash-GGUF GLM-4.7-Flash-Q4_K_M.gguf
# glm-4.6v
mkdir /home/ai/models/text/glm-4.6v
hf download --local-dir /home/ai/models/text/glm-4.6v unsloth/GLM-4.6V-GGUF --include "Q4_K_M/*.gguf"
hf download --local-dir /home/ai/models/text/glm-4.6v unsloth/GLM-4.6V-GGUF mmproj-F16.gguf
# glm-4.6v-flash
mkdir /home/ai/models/text/glm-4.6v-flash
hf download --local-dir /home/ai/models/text/glm-4.6v-flash unsloth/GLM-4.6V-Flash-GGUF GLM-4.6V-Flash-Q4_K_M.gguf
hf download --local-dir /home/ai/models/text/glm-4.6v-flash unsloth/GLM-4.6V-Flash-GGUF mmproj-F16.gguf
```
##### Llama
```bash
# llama4-scout
mkdir /home/ai/models/text/llama4-scout
# Remember to move the gguf files into the llama4-scout folder, otherwise it won't pick up
hf download --local-dir /home/ai/models/text/llama4-scout unsloth/Llama-4-Scout-17B-16E-Instruct-GGUF --include "Q4_K_M/*.gguf"
hf download --local-dir /home/ai/models/text/llama4-scout unsloth/Llama-4-Scout-17B-16E-Instruct-GGUF mmproj-F16.gguf
```
##### Gemma
```bash
# Note "it" vs "pt" suffixes. "it" is instruction following, "pt" is the base model (not as good for out-of-the-box use)
# gemma-3-27b-it
mkdir /home/ai/models/text/gemma-3-27b-it
hf download --local-dir /home/ai/models/text/gemma-3-27b-it unsloth/gemma-3-27b-it-GGUF gemma-3-27b-it-Q4_K_M.gguf
hf download --local-dir /home/ai/models/text/gemma-3-27b-it unsloth/gemma-3-27b-it-GGUF mmproj-F16.gguf
```
##### Dolphin (Abliterated)
```bash
# dolphin-x1-8b
mkdir /home/ai/models/text/dolphin-x1-8b
hf download --local-dir /home/ai/models/text/dolphin-x1-8b dphn/Dolphin-X1-8B-GGUF Dolphin-X1-8B-Q4_K_M.gguf
# dolphin-mistral-24b-venice
mkdir /home/ai/models/text/dolphin-mistral-24b-venice
hf download --local-dir /home/ai/models/text/dolphin-mistral-24b-venice bartowski/cognitivecomputations_Dolphin-Mistral-24B-Venice-Edition-GGUF cognitivecomputations_Dolphin-Mistral-24B-Venice-Edition-Q4_K_M.gguf
```
#### Image models
##### Z-Image
```bash
# z-turbo
# Fastest image generation in 8 steps. Great a text and prompt following.
# Lacks variety.
mkdir /home/ai/models/image/z-turbo
hf download --local-dir /home/ai/models/image/z-turbo QuantStack/FLUX.1-Kontext-dev-GGUF flux1-kontext-dev-Q4_K_M.gguf
hf download --local-dir /home/ai/models/image/z-turbo black-forest-labs/FLUX.1-schnell ae.safetensors
hf download --local-dir /home/ai/models/image/z-turbo unsloth/Qwen3-4B-Instruct-2507-GGUF Qwen3-4B-Instruct-2507-Q4_K_M.gguf
# z-image
# Full version of z-turbo. Needs 28-50 steps.
# Note, image quality not as good as z-turbo
mkdir /home/ai/models/image/z-image
hf download --local-dir /home/ai/models/image/z-image unsloth/Z-Image-GGUF z-image-Q4_K_M.gguf
hf download --local-dir /home/ai/models/image/z-image black-forest-labs/FLUX.1-schnell ae.safetensors
hf download --local-dir /home/ai/models/image/z-image unsloth/Qwen3-4B-Instruct-2507-GGUF Qwen3-4B-Instruct-2507-Q4_K_M.gguf
```
##### Flux
```bash
# flux2-klein
# Capable of generating images in 4 steps
mkdir /home/ai/models/image/flux2-klein
hf download --local-dir /home/ai/models/image/flux2-klein leejet/FLUX.2-klein-9B-GGUF flux-2-klein-9b-Q4_0.gguf
hf download --local-dir /home/ai/models/image/flux2-klein black-forest-labs/FLUX.2-dev ae.safetensors
hf download --local-dir /home/ai/models/image/flux2-klein unsloth/Qwen3-8B-GGUF Qwen3-8B-Q4_K_M.gguf
# flux-1-kontext
mkdir /home/ai/models/image/flux-1-kontext
hf download --local-dir /home/ai/models/image/flux-1-kontext leejet/Z-Image-Turbo-GGUF z_image_turbo-Q4_K.gguf
hf download --local-dir /home/ai/models/image/flux-1-kontext black-forest-labs/FLUX.1-dev ae.safetensors
hf download --local-dir /home/ai/models/image/flux-1-kontext comfyanonymous/flux_text_encoders clip_l.safetensors
hf download --local-dir /home/ai/models/image/flux-1-kontext comfyanonymous/flux_text_encoders t5xxl_fp16.safetensors
```
##### Qwen Image 2512
```bash
```
#### Embedding Models
##### Nomic
```bash
# nomic-embed-text-v2
mkdir /home/ai/models/embedding/nomic-embed-text-v2
hf download --local-dir /home/ai/models/embedding/nomic-embed-text-v2 ggml-org/Nomic-Embed-Text-V2-GGUF
```
## llama.cpp
<https://github.com/ggml-org/llama.cpp/tree/master/tools/server>
```bash
# Build the llama.cpp container image
git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
export BUILD_TAG=$(date +"%Y-%m-%d-%H-%M-%S")
# Vulkan
podman build -f .devops/vulkan.Dockerfile -t llama-cpp-vulkan:${BUILD_TAG} -t llama-cpp-vulkan:latest .
# ROCM
podman build -f .devops/rocm.Dockerfile -t llama-cpp-rocm:${BUILD_TAG} -t llama-cpp-rocm:latest .
# Run llama server (Available on port 8000)
# Add `--n-cpu-moe 32` to gpt-oss-120b to keep minimal number of expert in GPU
podman run \
--rm \
--name llama-server-demo \
--device=/dev/kfd \
--device=/dev/dri \
--pod systemd-ai-internal \
-v /home/ai/models/text:/models:z \
localhost/llama-cpp-vulkan:latest \
--port 8000 \
-c 32000 \
--perf \
--n-gpu-layers all \
--jinja \
--models-max 1 \
--models-dir /models
# ROCM
podman run \
--rm \
--name llama-server-demo \
--device=/dev/kfd \
--device=/dev/dri \
--pod systemd-ai-internal \
-v /home/ai/models/text:/models:z \
localhost/llama-cpp-rocm:latest \
--port 8000 \
-c 0 \
--perf \
--n-gpu-layers all \
--jinja \
--models-max 1 \
--models-dir /models
```
## stable-diffusion.cpp
Server: <https://github.com/leejet/stable-diffusion.cpp/tree/master/examples/server>
CLI: <https://github.com/leejet/stable-diffusion.cpp/tree/master/examples/cli>
```bash
git clone https://github.com/leejet/stable-diffusion.cpp.git
cd stable-diffusion.cpp
git submodule update --init --recursive
export BUILD_TAG=$(date +"%Y-%m-%d-%H-%M-%S")
# Vulkan
podman build -f Dockerfile.vulkan -t stable-diffusion-cpp:${BUILD_TAG} -t stable-diffusion-cpp:latest .
```
```bash
# z-turbo
podman run --rm \
-v /home/ai/models:/models:z \
-v /home/ai/output:/output:z \
--device /dev/kfd \
--device /dev/dri \
localhost/stable-diffusion-cpp:latest \
--diffusion-model /models/image/z-turbo/z_image_turbo-Q4_K.gguf \
--vae /models/image/z-turbo/ae.safetensors \
--llm /models/image/z-turbo/Qwen3-4B-Instruct-2507-Q4_K_M.gguf \
--cfg-scale 1.0 \
-v \
--seed -1 \
--steps 8 \
--vae-conv-direct \
-H 1024 \
-W 1024 \
-o /output/output.png \
-p "A photorealistic dragon"
# z-image
podman run --rm \
-v /home/ai/models:/models:z \
-v /home/ai/output:/output:z \
--device /dev/kfd \
--device /dev/dri \
localhost/stable-diffusion-cpp:latest \
--diffusion-model /models/image/z-image/z-image-Q4_K_M.gguf \
--vae /models/image/z-image/ae.safetensors \
--llm /models/image/z-image/Qwen3-4B-Instruct-2507-Q4_K_M.gguf \
--cfg-scale 1.0 \
-v \
--seed -1 \
--steps 28 \
--vae-conv-direct \
-H 1024 \
-W 1024 \
-o /output/output.png \
-p "A photorealistic dragon"
# flux2-klein
podman run --rm \
-v /home/ai/models:/models:z \
-v /home/ai/output:/output:z \
--device /dev/kfd \
--device /dev/dri \
localhost/stable-diffusion-cpp:latest \
--diffusion-model /models/image/flux2-klein/flux-2-klein-9b-Q4_0.gguf \
--vae /models/image/flux2-klein/ae.safetensors \
--llm /models/image/flux2-klein/Qwen3-8B-Q4_K_M.gguf \
--cfg-scale 1.0 \
--steps 4 \
-v \
--seed -1 \
--vae-conv-direct \
-H 1024 \
-W 1024 \
-o /output/output.png \
-p "A photorealistic dragon"
# Edit with flux2 klein
.\bin\Release\sd-cli.exe \
--diffusion-model /models/image/flux2-klein/flux-2-klein-9b-Q4_0.gguf \
--vae /models/image/flux2-klein/ae.safetensors \
--llm /models/image/flux2-klein/Qwen3-8B-Q4_K_M.gguf \
--cfg-scale 1.0 \
--sampling-method euler \
-v \
--vae-conv-direct \
--steps 4
-r .\kontext_input.png \
-p "change 'flux.cpp' to 'klein.cpp'" \
# Edit with flux kontext
podman run --rm \
-v /home/ai/models:/models:z \
-v /home/ai/output:/output:z \
--device /dev/kfd \
--device /dev/dri \
localhost/stable-diffusion-cpp:latest \
--diffusion-model /models/image/flux-1-kontext/flux1-kontext-dev-Q4_K_M.gguf \
--vae /models/image/flux-1-kontext/ae.safetensors \
--clip_l /models/image/flux-1-kontext/clip_l.safetensors \
--t5xxl /models/image/flux-1-kontext/t5xxl_fp16.safetensors \
--cfg-scale 1.0 \
--sampling-method euler \
--seed -1 \
--steps 28 \
--vae-conv-direct \
-v \
-H 512 \
-W 512 \
-o /output/output.png \
-r /output/everquest_logo.png \
-p "Add the text 'EverQuest'"
```
## open-webui
```bash
mkdir /home/ai/.env
# Create a file called open-webui-env with `WEBUI_SECRET_KEY="some-random-key"
scp active/device_framework_desktop/secrets/open-webui-env deskwork-ai:.env/
# Will be available on port 8080
podman run \
-d \
--pod ai \
-v open-webui:/app/backend/data \
--name open-webui \
--restart always \
ghcr.io/open-webui/open-webui:main
```
Use the following connections:
| Service | Endpoint |
| -------------------- | ----------------------------------------- |
| llama.cpp | <http://host.containers.internal:8000> |
| stable-diffusion.cpp | <http://host.containers.internal:1234/v1> |
## VLLM
```bash
--group-add=video \
--cap-add=SYS_PTRACE \
--security-opt seccomp=unconfined \
--env "HF_TOKEN=$HF_TOKEN" \
--ipc=host \
mkdir -p /home/ai/vllm/.cache/huggingface
podman run --rm \
--device /dev/kfd \
--device /dev/dri \
-v /home/ai/vllm/.cache/huggingface:/root/.cache/huggingface:z \
-p 8002:8000 \
docker.io/vllm/vllm-openai-rocm:latest \
--model Qwen/Qwen3-0.6B
```
## Install the whole thing with quadlets (TM)
```bash
# Installs and runs all services in `quadlets/`
scp -r active/device_framework_desktop/quadlets/* deskwork-ai:.config/containers/systemd/
ssh deskwork-ai
systemctl --user daemon-reload
systemctl --user restart ai-internal-pod.service
```
Note, all services will be available at `host.containers.internal`. So llama.cpp
will be up at `http://host.containers.internal:8000`.
### Install the update script
```bash
# 1. Builds the latest llama.cpp and stable-diffusion.cpp
# 2. Pulls the latest open-webui
# 3. Restarts all services
scp active/device_framework_desktop/update-script.sh deskwork-ai:
ssh deskwork-ai
chmod +x update-script.sh
./update-script.sh
```
## Install Guest Open Webui with Start/Stop Services
```bash
scp -r active/device_framework_desktop/systemd/. deskwork-ai:.config/systemd/user/
ssh deskwork-ai
systemctl --user daemon-reload
systemctl --user enable open-webui-guest-start.timer
systemctl --user enable open-webui-guest-stop.timer
```
See [Self Hosted AI Stack](/active/software_ai_stack/ai_stack.md)

2
active/device_framework_desktop/quadlets/ai-external.network
View File

@@ -1,2 +0,0 @@
[Network]
IPv6=true

6
active/device_framework_desktop/quadlets/ai-external.pod
View File

@@ -1,6 +0,0 @@
[Pod]
# ai-external is the primary network
Network=ai-external.network
Network=ai-internal.network
# open-webui
PublishPort=8080:8080/tcp

3
active/device_framework_desktop/quadlets/ai-internal.network
View File

@@ -1,3 +0,0 @@
[Network]
IPv6=true
Internal=true

8
active/device_framework_desktop/quadlets/ai-internal.pod
View File

@@ -1,8 +0,0 @@
[Pod]
Network=ai-internal.network
# llama.cpp
PublishPort=8000:8000/tcp
# stable-diffusion.cpp gen
PublishPort=1234:1234/tcp
# stable-diffusion.cpp edit
PublishPort=1235:1235/tcp

42
active/device_framework_desktop/quadlets/llama-server.container
View File

@@ -1,42 +0,0 @@
[Unit]
Description=A Llama CPP Server Running GPT OSS 120b
[Container]
# Shared AI internal pod
Pod=ai-internal.pod
# Image is built locally via podman build
Image=localhost/llama-cpp-vulkan:latest
# Downloaded models volume
Volume=/home/ai/models/text:/models:z
# GPU Device
AddDevice=/dev/kfd
AddDevice=/dev/dri
# Server command
Exec=--port 8000 \
-c 48000 \
--perf \
--n-gpu-layers all \
--jinja \
--models-max 1 \
--models-dir /models
# Health Check
HealthCmd=CMD-SHELL curl --fail http://127.0.0.1:8000/props || exit 1
HealthInterval=10s
HealthRetries=3
HealthStartPeriod=10s
HealthTimeout=30s
HealthOnFailure=kill
[Service]
Restart=always
# Extend Timeout to allow time to pull the image
TimeoutStartSec=900
[Install]
# Start by default on boot
WantedBy=multi-user.target default.target

24
active/device_framework_desktop/quadlets/open-webui.container
View File

@@ -1,24 +0,0 @@
[Unit]
Description=An Open Webui Frontend for Local AI Services
[Container]
# Shared AI external pod
Pod=ai-external.pod
# Open Webui base image
Image=ghcr.io/open-webui/open-webui:main
# Nothing too complicated here. Open Webui will basically configure itself.
Volume=open-webui-data:/app/backend/data
# WEBUI_SECRET_KEY is required to prevent logout on Restart
EnvironmentFile=/home/ai/.env/open-webui-env
[Service]
Restart=always
# Extend Timeout to allow time to pull the image
TimeoutStartSec=900
[Install]
# Start by default on boot
WantedBy=multi-user.target default.target

43
active/device_framework_desktop/quadlets/stable-diffusion-edit-server.container
View File

@@ -1,43 +0,0 @@
[Unit]
Description=A Stable Diffusion CPP Server for Editing Images
[Container]
# Shared AI Internal pod
Pod=ai-internal.pod
# Vulkan image for AMD GPU
Image=localhost/stable-diffusion-cpp:latest
# Shared models directory
Volume=/home/ai/models:/models:z
# GPU Device
AddDevice=/dev/kfd
AddDevice=/dev/dri
# Override entrypoint to use server
Entrypoint=/sd-server
# Server args
Exec=-l 0.0.0.0 \
--listen-port 1235 \
--diffusion-model /models/image/flux2-klein/flux-2-klein-9b-Q4_0.gguf \
--vae /models/image/flux2-klein/ae.safetensors \
--llm /models/image/flux2-klein/Qwen3-8B-Q4_K_M.gguf \
-v \
--cfg-scale 1.0 \
--sampling-method euler \
--vae-conv-direct \
--offload-to-cpu \
--diffusion-conv-direct \
--seed -1 \
--steps 5
[Service]
Restart=always
# Extend Timeout to allow time to pull the image
TimeoutStartSec=900
[Install]
# Start by default on boot
WantedBy=multi-user.target default.target

40
active/device_framework_desktop/quadlets/stable-diffusion-gen-server.container
View File

@@ -1,40 +0,0 @@
[Unit]
Description=A Stable Diffusion CPP Server for Generating Images
[Container]
# Shared AI internal pod
Pod=ai-internal.pod
# Vulkan image for AMD GPU
Image=localhost/stable-diffusion-cpp:latest
# Shared models directory
Volume=/home/ai/models:/models:z
# GPU Device
AddDevice=/dev/kfd
AddDevice=/dev/dri
# Override entrypoint to use server
Entrypoint=/sd-server
# Server args
Exec=-l 0.0.0.0 \
--listen-port 1234 \
--diffusion-model /models/image/z-turbo/z_image_turbo-Q4_K.gguf \
--vae /models/image/z-turbo/ae.safetensors \
--llm /models/image/z-turbo/qwen_3_4b.safetensors \
-v \
--cfg-scale 1.0 \
--vae-conv-direct \
--seed -1 \
--steps 8
[Service]
Restart=always
# Extend Timeout to allow time to pull the image
TimeoutStartSec=900
[Install]
# Start by default on boot
WantedBy=multi-user.target default.target

32
active/device_framework_desktop/quadlets_beta/open-webui-guest.container
View File

@@ -1,32 +0,0 @@
[Unit]
Description=An Open Webui Frontend for Local AI Services for Guests
[Container]
# Shared AI external pod
Pod=ai-external.pod
# Open Webui base image
Image=ghcr.io/open-webui/open-webui:main
# Nothing too complicated here. Open Webui will basically configure itself.
Volume=open-webui-data-guest:/app/backend/data
# WEBUI_SECRET_KEY is required to prevent logout on Restart
EnvironmentFile=/home/ai/.env/open-webui-env-guest
# ai-external is the primary network
Network=ai-external.network
Network=ai-internal.network
# open-webui
PublishPort=8081:8081/tcp
[Service]
Restart=on-failure
RestartSec=5
# Extend Timeout to allow time to pull the image
TimeoutStartSec=900
[Install]
# Start by default on boot
WantedBy=multi-user.target default.target

8
active/device_framework_desktop/systemd/open-webui-guest-start.service
View File

@@ -1,8 +0,0 @@
[Unit]
Description=Start open-webui-guest on schedule
Wants=open-webui-guest.service
After=open-webui-guest.service
[Service]
Type=oneshot
ExecStart=/bin/systemctl --user start open-webui-guest.service

10
active/device_framework_desktop/systemd/open-webui-guest-start.timer
View File

@@ -1,10 +0,0 @@
[Unit]
Description=Timer to start open-webui-guest at 08:00 Mon‑Fri
[Timer]
OnCalendar=Mon..Fri *-*-* 08:00:00
Persistent=true
Unit=open-webui-guest-start.service
[Install]
WantedBy=timers.target

7
active/device_framework_desktop/systemd/open-webui-guest-stop.service
View File

@@ -1,7 +0,0 @@
[Unit]
Description=Stop open-webui-guest on schedule
After=open-webui-guest.service
[Service]
Type=oneshot
ExecStart=/bin/systemctl --user stop open-webui-guest.service

10
active/device_framework_desktop/systemd/open-webui-guest-stop.timer
View File

@@ -1,10 +0,0 @@
[Unit]
Description=Timer to stop open-webui-guest at 18:00 Mon‑Fri
[Timer]
OnCalendar=Mon..Fri *-*-* 18:00:00
Persistent=true
Unit=open-webui-guest-stop.service
[Install]
WantedBy=timers.target

22
active/device_framework_desktop/update-script.sh
View File

@@ -1,22 +0,0 @@
#!/bin/bash
set -x
export BUILD_TAG=$(date +"%Y-%m-%d-%H-%M-%S")
echo "Updates stable-diffusion.cpp, llama.cpp, and open-webui"
cd /home/ai/llama.cpp
git pull
podman build -t llama-cpp-vulkan:${BUILD_TAG} -t llama-cpp-vulkan:latest -f .devops/vulkan.Dockerfile .
cd /home/ai/stable-diffusion.cpp
git pull
git submodule update --init --recursive
podman build -f Dockerfile.vulkan -t stable-diffusion-cpp:${BUILD_TAG} -t stable-diffusion-cpp:latest .
systemctl --user restart ai-internal-pod
podman image pull ghcr.io/open-webui/open-webui:main
systemctl --user restart ai-external-pod