🧬 Automatic1111
Use Automatic1111 - Stable Diffusion web UI on Jarvislabs out of the box in less than 60+ seconds ⏰. It comes with 10+ preloaded models.
Get started in 2 simple steps.
- Launch an instance
- Start with your creative journey
Launch an instance
Start a instance with framework as Automatic 1111. Choose required GPUs and storage.
Access the web UI
Once the instance is up and running, right click on your running instance and select the API endpoint.
This may take a few seconds to load. You can start with your creative journey.
Launch/Modify the parameters used to launch
When the instance is started, we start the launch.py
from inside a tmux session. You can check that from the JupyterLab
terminal.
From the terminal run the below command
tmux attach -t automatic
The output would look somthing like this.
If you do a 'CTRL + C', the application will stop. You can launch it again using the below command.
cd /home/stable-diffusion-webui/
python launch.py --xformers
Use Automatic1111 API
You can use Automatic1111 through API's too. To launch through API, follow the below steps.
tmux kill -t automatic
cd /home/stable-diffusion-webui/
python launch.py --xformers --api
Access the API endpoint from the UI.
Right-click on the instance to get the API endpoint, to access the API.
Example:
curl "API_ENDPOINT/sdapi/v1/sd-models"
Learn more about Automatic1111 api here.
Preloaded Models
We have loaded 50+ models for you to start with. You can find the list of models here.
ControlNet
ControlNet is a popular technique, that gives you control over the images generated using StableDiffusion. We have created a guide for you to help with you to understand the various techniques you can use ControlNet in Automatic1111. You can find the guide here.