Product Guide
Linux PC
AI Accelerator Card
LLM-8850 Card
Large Language Models
LLM
Real-Time AI Voice Assistant
XiaoZhi Voice Assistant
AtomS3R-M12 Volcengine Kit
Offline Voice Recognition
Home Assistant
Home Assistant OS
Industrial Control
IoT Measuring Instruments
Air Quality
Module13.2 PPS
VAMeter
T-Lite
Ezdata
Ethernet Camera
PoECAM
Wi-Fi Camera
Unit CamS3/-5MP
AI Camera
LoRa & LoRaWAN
Motor Control
Restore Factory Firmware
DIP Switch Usage Guide
Module GPS v2.0
Module GNSS
Module ExtPort For Core2
Module LoRa868 V1.2
SD1.5-LLM8850
- Manually download the model and upload it to raspberrypi5, or pull the model repository using the following command.
Tip
If git lfs is not installed, refer to git lfs installation guide for installation instructions.
git clone https://huggingface.co/M5Stack/SD1.5-LLM8850File Description:
m5stack@raspberrypi5:~/rsp/SD1.5-LLM8850 $ ls -lh
total 92K
-rw-rw-r-- 1 m5stack m5stack 12K Sep 26 11:07 api_10steps.py
-rw-rw-r-- 1 m5stack m5stack 12K Sep 26 11:07 api_server.py
-rw-rw-r-- 1 m5stack m5stack 19K Sep 26 11:07 axengine-0.1.3-py3-none-any.whl
drwxrwxr-x 2 m5stack m5stack 4.0K Sep 26 11:11 client
drwxrwxr-x 2 m5stack m5stack 4.0K Sep 26 11:11 client_jp
-rw-rw-r-- 1 m5stack m5stack 13K Sep 26 11:07 dpm20_infer.py
-rw-rw-r-- 1 m5stack m5stack 1.3K Sep 26 11:07 gen_img.py
drwxrwxr-x 4 m5stack m5stack 4.0K Sep 26 11:08 models
-rw-rw-r-- 1 m5stack m5stack 2.5K Sep 26 11:10 README.md
-rw-rw-r-- 1 m5stack m5stack 112 Sep 26 11:07 requirements.txt
-rw-rw-r-- 1 m5stack m5stack 165 Sep 26 11:07 sd-launch.desktop
-rw-rw-r-- 1 m5stack m5stack 2.4K Sep 26 11:07 sd-launch.sh- Create a virtual environment
python -m venv sd- Activate the virtual environment
source sd/bin/activate- Install dependencies
sudo apt install cmake -y
pip install -r requirements.txt
pip install https://github.com/AXERA-TECH/pyaxengine/releases/download/0.1.3.rc1/axengine-0.1.3-py3-none-any.whlStart the backend
uvicorn api_10steps:app --host 0.0.0.0 --port 7888Open a new terminal and start the Web UI
source sd/bin/activate
cd client && python app.pyVisit in browser: http://127.0.0.1:5000
Select the parameters you want to generate or choose a random description, and click "Generate Now".