2.5 KiB
Hacklahoma AI Image Workshop (Fall 2023)
Launching a Stable Diffusion Instance on Cloud
Go to Google Cloud (or any other cloud provider), and open console. Trial $300 Google Cloud credits.
Since Google Cloud seems to be very scarce on GPUs, I will use RunPod in my demo today.
Create a VM with a GPU, at least 15GB RAM, and 30GB disk. Connect to SSH, install git, and clone this Automatic1111 (A1111) repository.
First cd
in to the cloned directory and edit webui-user.sh
for remote access:
$ cd stable-diffusion-webui
$ nano webui-user.sh
Add the following to COMMANDLINE_ARGS
--device-id=0 --no-half-vae --xformers --share
and exit nano with Ctrl+X
saving the changes.
Now we are ready to launch A1111 with:
$ bash ./webui-user.sh
You should see a link like https://xxxxxxxxxxxxxxxx.gradio.live
after the webui finishes launching. Warning, do NOT share the public link, others can abuse you instance and increase your bill.
Model Downloads
Popular Base Models
SDXL1.0: https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors
SD1.5: https://huggingface.co/runwayml/stable-diffusion-v1-5/blob/main/v1-5-pruned-emaonly.safetensors
DreamShaper8: https://civitai.com/api/download/models/128713
LoRA Models: CivitAI
Place downloaded models in the stable-diffusion-webui/models
.
Start Generating
Image Dimensions (Resolution)
As different models are trained on different image resolutions, it is best to use the training image resolution for generations. For SD1.5
use 512x512 and for SDXL1.0
use 1024x1024. You can slightly vary one of the dimensions without significant issues.
text2img generation
text2img
can be thought of as generating visual content based on textual descriptions. Popular models include DALL-E, Midjourney, and Stable Diffusion.
img2img generation
img2img
refers to the transformation of one image into another, typically maintaining the same content but changing the style or other visual attributes.
ControlNet (+Stable Diffusion)
Install extension for A1111: sd-webui-controlnet