Jupyter notebook for Stable Diffusion WebUI and Stable Diffusion WebUI Forge.
- Automatic updates.
- SD WebUI Auto1111 and SD WebUI Forge
- Support for Paperspace and Runpod
- Using small Docker containers under 6GB
- Notebook for installing WebUI, downloading SD v1.5, SDXL and FLUX models.
- Storing resources such as models, loRA, embeddings, outputs in shared storage.
- List of some popular extensions.
- List of several popular models in 4 categories, namely Anime/Cartoon/3D, General Purpose, Realistic, Woman.
- List of some useful resources for loRA, embedding, upscaler, VAE and text encoder.
- Install extensions, loRA, embedding, upscaler, VAE and text encoder from URLs.
-
Sign up and subscribe to one of the subscription plans (Pro or Growth)
-
Create a project then create a notebook in it.
-
Select the "Start from Scratch" template
-
Choose one of the free GPUs with at least 16GB VRAM (except Free-P5000).
-
Set the Auto-shutdown timeout to 6 hours.
-
Click View Advanced Options.
-
Fill in the Container's name and command field as follows and leave other field blank. Just click copy button on the right.
Note : Paperspace caches the old container in their server, so when there is a new version of the container, you have to create new installation again.- Container's name
- SD WebUI Auto1111
ffxvs/sd-webui-containers:auto1111-2024.09.21
- SD WebUI Forge
ffxvs/sd-webui-containers:forge-2024.09.21
- SD WebUI Auto1111
- Container's command
bash /paperspace-start.sh
- Container's name
-
Start notebook and wait until the machine is running.
-
Duplicate your tab to keep the console open. Then click the "Open in Jupyterlab" button (the orange circle icon) in the left sidebar.
-
There will be 3 ipynb notebook files.
sd_webui_paperspace.ipynb
orsd_webui_forge_paperspace.ipynb
for installing WebUI.sd15_resource_lists.ipynb
for downloading SD v1.5 models.sdxl_resource_lists.ipynb
for downloading SDXL models.flux_resource_lists.ipynb
for downloading FLUX models.
-
Read Paperspace Guide and Resource Lists Guide to use the notebooks.
- Sign up and add some credit to your balance.
- Open one of these template to create a Pod : SD WebUI Auto1111 / SD WebUI Forge
- Make sure the template is :
- SD WebUI Auto1111 :
ffxvs/sd-webui-containers:auto1111-latest
- SD WebUI Forge :
ffxvs/sd-webui-containers:forge-latest
- SD WebUI Auto1111 :
- Select Secure Cloud if you want to use Network Volume (Persistent Storage), or Community Cloud if you want to use cheaper GPU.
- Choose a GPU with at least 16GB VRAM, for example RTX A4000, RTX A4500, RTX 3090.
- Continue and Deploy, then go to My Pods. Wait until the Pod is ready.
- On the Pod you just created, click Connect then Connect to HTTP Service [Port 8888] to open Jupyterlab.
- There will be 3 ipynb notebook files.
sd_webui_runpod.ipynb
orsd_webui_forge_runpod.ipynb
for installing WebUI.sd15_resource_lists.ipynb
for downloading SD v1.5 models.sdxl_resource_lists.ipynb
for downloading SDXL models.flux_resource_lists.ipynb
for downloading FLUX models.
- Read Runpod Guide and Resource Lists Guide to use the notebooks.
- You can click Connect to HTTP Service [Port 3001] after installing and launching the WebUI.
- Stop the Pod if you don't use it anymore. Terminate the pod to delete the Pod and its content. Don't forget to download images you generated.
- fast-stable-diffusion by TheLastBen
- stable-diffusion-webui-colab by Camenduru
- stablediffusion_webui by sagiodev