Stable Cascade Full Tutorial for Cloud ‐ Predecessor of SD3 ‐ Massed Compute, RunPod & Kaggle
Stable Cascade Full Tutorial for Cloud - Predecessor of SD3 - Massed Compute, RunPod & Kaggle
Greetings, everyone. In this video, I am going to introduce you to the latest Stability AI-released Stable Cascade model. The weights are released. I know that there is Stable Diffusion 3, but its weights are not released. Therefore, today I am going to show you how to use this amazing model. The weights, the models published by Stability AI. It is called Stable Cascade, and it is really amazing. We have developed an amazing Gradio application for this model that works even on older GPUs and low VRAM GPUs. Whether you want to use it locally or on the cloud, this tutorial will guide you through the installation process on various platforms including RunPod, Massed Compute, and a free Kaggle account.
Scripts / Installers For Stable Cascade Download Link
Stable Cascade Windows Tutorial
Download ThinLinc App
Register Massed Compute
Register RunPod
RunPodCTL Tutorial
Best Tutorial To Learn How To Use Kaggle
- 0:00 Introduction to Stable Cascade which is Predecessor of SD3
- 1:56 The features of the Stable Cascade application that we have developed
- 3:33 Where to and how to download Stable Cascade application
- 3:55 How to install and start using Stable Cascade on Massed Compute with an amazing discounted deal
- 5:19 How to install and configure ThinLinc to connect Massed Compute machine and use it
- 6:54 How to connect Massed Compute after initialization completed
- 7:52 How to transfer downloaded installer scripts into the Massed Compute cloud machine
- 8:11 How to access transferred from computer files in Massed Compute
- 8:29 Do not run and install scripts on synchronization folder
- 9:03 How to run and install on Massed Compute after files copied
- 9:48 How to start Stable Cascade application after installation has been completed
- 10:10 How to use Gradio live share on your computer and how to use app locally on Massed Compute
- 10:51 Download speed of Massed Compute - amazing
- 11:40 How to transfer all generated images on Massed Compute to your local device
- 12:36 How to install and start using Stable Cascade on RunPod cloud services / pods
- 15:27 How to start Stable Cascade on RunPod including RunPod proxy setup and Gradio live share
- 18:47 How to download and save all of the generated images on RunPod
- 19:42 How to install and start using Stable Cascade on a free Kaggle account for free
- 21:15 How to run and start using Stable Cascade on Kaggle after installation has been completed
- 22:35 How many hours Kaggle gives you for free every week
- 23:06 How to download all of the generated images on Kaggle with 1-click
- 24:05 How to get all generated images on Massed Compute - 100s of them style looping
- 24:40 How to find the best style among 275 styles
In this comprehensive tutorial, we dive deep into the installation and usage of the newly released Stable Cascade model by Stability AI. This model stands out as it is optimized for use even on GPUs with only 5GB of VRAM, making it accessible for a broader audience. The tutorial covers a detailed step-by-step guide on setting up the Stable Cascade model on various platforms including Massed Compute, RunPod, and Kaggle. We begin by introducing the Gradio application developed specifically for this model, which supports multi-line prompting, negative prompts, 275 different styles, randomized seeds, batch processing, and more.
For Massed Compute, we highlight the registration process, setting up billing, initializing virtual machines, and transferring files using ThinLinc. We also discuss the advantages of Massed Compute, such as its cost-effectiveness and high-speed download capabilities.
Next, we move on to installing the application on RunPod, discussing the optimal settings for deploying Pods, the installation process, and the challenges faced with RunPod's hard drives.
Lastly, we explore using the Kaggle notebook, ensuring that your account is verified to access GPUs, and walking through the installation and usage of the Stable Cascade model on Kaggle. We also demonstrate how to download generated images from each platform.
Throughout the tutorial, we emphasize the ease of use of the Gradio application and provide insights on optimizing performance and managing generated outputs. This video is a must-watch for anyone looking to leverage the power of the Stable Cascade model on different computing platforms.