How to install Stable Diffusion WebUI Colab Alternative (free)
TLDRThis video tutorial guides viewers on how to install and use a Stable Diffusion WebUI alternative on Amazon SageMaker Studio Lab, which offers a free quota of 4 hours per day. The process is straightforward, involving signing up for an account, setting up SageMaker Studio, and using a provided notebook to install requirements and download a stable diffusion model. The tutorial emphasizes the convenience of not needing to reinstall requirements or redownload models each time, thanks to Amazon's storage. It also covers how to run Stable Diffusion using an ngroc token, clean up storage, and offers additional resources for downloading models and accessing extended features through Patreon.
Takeaways
- ๐ Access any stable diffusion model with a user-friendly interface for free, with a 4-hour daily quota.
- ๐ First, sign up or log in to the ngroc website, which can be done using a Google account.
- ๐ง After signing up, you may need to request access to SageMaker Studio and wait for an email confirmation.
- ๐ข You will need to provide your phone number to access GPU capabilities on SageMaker.
- โฑ Be aware that you have an 8-hour CPU quota and a 4-hour GPU quota for your notebook.
- ๐ป Choose the GPU runtime in SageMaker to start your session, which may require a short wait for GPU availability.
- ๐ Your files are saved in Amazon storage, so you don't need to reinstall requirements or redownload models every time.
- ๐ You can access the provided notebook via a link, upload it, and run it in the SageMaker environment.
- โ๏ธ The notebook consists of three steps: installing requirements, downloading the base model, and running stable diffusion.
- ๐ Use the ngroc token to connect and generate images faster with the xformer addition.
- ๐๏ธ Clean up your virtual environments, cache, and files using the maintenance cell if needed, and always stop your runtime when finished.
- ๐ You can download additional models like LoRA and controlnet models, or use the creator's ultimate notebook version available on Patreon.
Q & A
What is the main topic of the video?
-The main topic of the video is how to install and use a Stable Diffusion WebUI alternative on Amazon SageMaker Studio Lab for free, with a 4 hours per day quota.
How does the user interface of the Stable Diffusion WebUI alternative compare to Google Colab?
-The user interface of the Stable Diffusion WebUI alternative is described as being quite similar to Kaggle or Google Colab, and it is suggested to be even more convenient than Google Colab.
What is the first step in accessing the Stable Diffusion model?
-The first step is to sign up or log in to the ngroc website using a Google account.
What is the process to get access to GPU on SageMaker Studio app?
-After signing up, you need to request access by entering your email and specifying your information. Once you receive a link via email to create a new account, you must verify your email and specify your phone number to get access to GPU.
How long does it typically take to get access to GPU on SageMaker Studio app?
-It can take about one day to get the link for creating a new account, but in the video, it took only one minute. Sometimes, if the GPU is not available, you might need to wait for a short period, as mentioned in the video, about 20 minutes.
What is the advantage of using CPU hours for tuning the notebook?
-Using CPU hours for tuning the notebook is recommended because it can be done easily without spending the valuable GPU time.
How is the storage management handled in Amazon SageMaker?
-All your files are constantly saved in your Amazon storage, which means you don't need to install requirements or download models every time.
What is the process to download a base model?
-To download a base model, you unhide the relevant cell in the notebook, paste your model link there, make the cell active, and press the run button.
What is the ngroc token used for in the Stable Diffusion process?
-The ngroc token is used to connect to the ngroc service, which allows you to generate images faster using the xformer and provides you with a URL to access the Stable Diffusion interface.
How can one support the video and the channel?
-The best way to support the video and the channel is not by subscribing or liking the video, but by watching the video until the end and possibly several times to help promote it.
What are the maintenance operations that can be performed in the notebook?
-In the maintenance section of the notebook, you can clean and remove all virtual environments, clean all cache and files, check the available storage, and see a list of folders.
How can one download additional models like LoRA and controlnet models?
-You can download LoRA and controlnet models by yourself if you are familiar with coding, or you can use the creator's ultimate version of the notebook available on their Patreon page, which has the ability to download these models.
Outlines
๐ Accessing Stable Diffusion Models with Amazon SageMaker Studio
This paragraph introduces a user-friendly and free method to access stable diffusion models using the latest interface, Automatic 1111, with a daily quota of 4 hours. The process is outlined as being easier than using Google Colab and involves signing up or logging into a service referred to as 'ngroc'. The user is then guided through signing up for Amazon SageMaker Studio, which may require a waiting period for account approval. Once access is granted, the user is instructed to set up a GPU environment, which comes with an 8-hour CPU and 4-hour GPU quota. The video emphasizes caution to avoid destroying the notebook or environment. A prepared notebook is available for use, which includes steps for installing requirements, downloading a base model, and running stable diffusion. The user is reminded that files are saved in Amazon storage, eliminating the need for repetitive installations. The paragraph concludes with instructions for accessing the notebook and starting the process.
๐ Using ngroc and Running Stable Diffusion with RV5 Model
The second paragraph focuses on the steps to connect to ngroc and run the Stable Diffusion model with the RV5 base. It details how to obtain an auth token from the ngroc account and use it to establish a connection, which then enables the generation of images more quickly with the addition of an 'xformer'. The user is shown how to access the latest Automatic 1111 user interface and is encouraged to support the video for better promotion. The paragraph also covers maintenance tasks such as cleaning up virtual environments, checking available storage, and managing files and models within the Amazon SageMaker environment. It advises on stopping the runtime when finished and offers additional resources, such as downloading LoRA and controlnet models or accessing an ultimate version of the notebook on the creator's Patreon page. The video concludes with a comparison favoring Amazon SageMaker Studio over Google Colab for its convenience and a call to action for viewer engagement.
Mindmap
Keywords
๐กStable Diffusion
๐กWebUI
๐กColab
๐กngrok
๐กSageMaker Studio
๐กGPU
๐กJupyter Lab
๐กRequirements
๐กModel Download
๐กAuthToken
๐กPatreon
๐กMaintenance
Highlights
Access any stable diffusion model with the latest user interface for free, with a 4 hours per day quota.
The process is easier and more convenient than using Google Colab.
Sign up or log in to the ngroc website using a Google account.
Create a new account or request access to SageMaker Studio app.
Sometimes it takes about one day to get a link for creating a new account.
Verify your email and specify your phone number to access GPU on Kaggle.
Watch the video carefully to avoid destroying your notebook or environment.
SageMaker Studio app provides eight hours for CPU and four hours for GPU usage.
A ready-to-use notebook is available, optimized for GPU runtime.
SageMaker may sometimes not have available GPUs, requiring a short wait.
Jupyter Lab in SageMaker is similar to Kaggle or Google Colab.
Files are constantly saved in your Amazon storage, eliminating the need to reinstall requirements or download models repeatedly.
Install all required dependencies in the first step of the notebook.
Download up to five models, but be aware of storage limitations on Amazon SageMaker.
Run Stable Diffusion by specifying the ngroc token and using the xformer for faster image generation.
The ngroc token can be found in your ngroc account under 'get started'.
After running the Stable Diffusion cell, you can access the latest Automatic 1111 user interface with the RV5 model.
Support the video by watching it until the end and potentially re-watching for promotion.
Clean up virtual environments, cache, and files in case of errors using the maintenance cell.
Check available storage and folder listings to manage your Amazon SageMaker storage effectively.
Delete models from the 'models' folder to free up space for new ones.
Remember to stop your runtime when finished to avoid unnecessary usage.
LoRA and controlnet models can be downloaded manually or through an ultimate version of the notebook available on Patreon.
SwarmUI and ConfUI versions for Amazon SageMaker Studio Lab and Kaggle are also available on Patreon.
The method described is considered more reliable and convenient than previous ones, including Kaggle.