A script that automatically installs all the required stuff to run selected AI interfaces on AMD Radeon 7900XTX.
Part of the installation script is based on this guide: https://github.com/nktice/AMD-AI/blob/main/ROCm6.0.md
Name | Enviroment | Links | Additional information |
---|---|---|---|
KoboldCPP | Python 3.11 venv | https://github.com/YellowRoseCx/koboldcpp-rocm | |
Text generation web UI | Python 3.11 venv | https://github.com/oobabooga/text-generation-webui https://github.com/arlo-phoenix/bitsandbytes-rocm-5.6 https://github.com/ROCmSoftwarePlatform/flash-attention https://github.com/turboderp/exllamav2 |
1. Tested: ExLlamav2, Transformers, llama.ccp 2. Smart Context and Silero TTS Requrements for Superbooga are installed, but the extension is not enabled by default |
SillyTavern (1.12.0-preview) SillyTavern-Extras |
Node Python 3.11 venv |
https://github.com/SillyTavern/SillyTavern https://github.com/SillyTavern/SillyTavern-Extras |
1. SillyTavern and SillyTavern-Extras are launched separately 2. SillyTavern must be connected to SillyTavern-Extras in settings 3. Smart Context and Silero TTS are installed and enabled by default 4. Smart Context requires an additional extension download in settings 5. Smart Context and Silero TTS extensions must be manually configured in SillyTavern settings |
Name | Enviroment | Links | Additional information |
---|---|---|---|
Stable Diffusion web UI | Python 3.10 venv | https://github.com/AUTOMATIC1111/stable-diffusion-webui | 1. Startup parameters are in the webui-user.sh file |
ANIMAGINE XL 3.1 | Python 3.11 venv | https://huggingface.co/spaces/cagliostrolab/animagine-xl-3.1 https://huggingface.co/cagliostrolab/animagine-xl-3.1 |
Name | Enviroment | Links | Additional information |
---|---|---|---|
AudioCraft | Python 3.10 venv | https://github.com/facebookresearch/audiocraft |
Name | Enviroment | Links | Additional information |
---|---|---|---|
WhisperSpeech web UI | Python 3.11 venv | https://github.com/Mateusz-Dera/whisperspeech-webui https://github.com/collabora/WhisperSpeech https://github.com/ROCmSoftwarePlatform/flash-attention |
Name | Enviroment | Links | Additional information |
---|---|---|---|
TripoSR | Python3.11 venv | https://github.com/VAST-AI-Research/TripoSR https://github.com/ROCmSoftwarePlatform/flash-attention.git |
1. It uses PyTorch ROCm, but torchmcubes is built for the CPU. This method is still faster than using just PyTorch CPU-only version. |
Name | Info |
---|---|
CPU | AMD Ryzen 7900X3D (iGPU disabled in BIOS) |
GPU | AMD Radeon 7900XTX |
RAM | 64GB DDR5 6600MHz |
Motherboard | ASRock B650E PG Riptide WiFi (2.10) |
OS | Ubuntu 22.04 |
Kernel | 6.5.0-28-generic |
ROCm | 6.1 |
Note
First startup after installation of the selected interface may take longer.
Important
This script does not download any models. If the interface does not have defaults, download your own.
Caution
If you update, back up your settings and models. Reinstallation deletes the previous directories.
- Add the user to the required groups.
sudo adduser `whoami` video
sudo adduser `whoami` render
- Reboot
sudo reboot
- Run installer
bash ./install.sh
- Select installation path.
- Select ROCm installation if you are upgrading or running the script for the first time.
- Install selected interfaces
- Go to the installation path with the selected interface and run:
./run.sh