Stable Cascade, local installation.

Vladimir Chopine [GeekatPlay]
20 Feb 202415:38

TLDRIn this video, Vadir introduces Stability Cascade, a new text-to-image architecture from Stability AI. The model is designed for non-commercial use and offers faster and more accurate performance compared to previous models. The video covers the installation process for Stability Cascade, using Pinocchio, a package manager that simplifies the installation of various AI models. After installation, Vadir demonstrates the model's capabilities by generating images from different prompts, showcasing the model's ability to create high-quality images with impressive speed and resource efficiency. The video concludes with a positive outlook on the potential of Stability Cascade for future commercial applications.


  • πŸŽ‰ Stable Cascade is a text-to-image architecture released by Stability AI.
  • 🚫 It is intended for non-commercial use only, meaning you cannot resell or use it for commercial purposes.
  • πŸ“š The code for Stable Cascade is available on Stability AI's GitHub repository.
  • ⚑ It performs faster and more accurately than previous models, requiring fewer steps for coherence in animations.
  • πŸ” The model has a large scale with 1.4 billion parameters, which contributes to its improved performance.
  • πŸ–ΌοΈ It can generate image variations, both in-painting and out-painting.
  • πŸ’» The local installation process is detailed, with options for manual installation or using package managers like Pinocchio.
  • πŸ€– Pinocchio is a package manager that supports Stable Cascade and offers an easy installation process.
  • πŸ“ˆ The interface for Stable Cascade is user-friendly, with advanced options for controlling the generation process.
  • πŸ’» System requirements are high, but the model utilizes GPU efficiently without maxing out memory usage.
  • πŸ–ŒοΈ The quality of the generated images is impressive, with the ability to create high-resolution outputs.
  • βœ‹ Common issues like incorrect finger counts can be resolved with fine-tuning negative prompts.

Q & A

  • What is the name of the new release from Stability mentioned in the transcript?

    -The new release from Stability mentioned in the transcript is called 'Stability Cascade'.

  • What is the primary use case for Stability Cascade?

    -Stability Cascade is primarily designed for non-commercial use. It is a large-scale architecture for text-to-image generation that allows for faster and more accurate performance.

  • Is Stability Cascade's code available for public access?

    -Yes, the code for Stability Cascade is available on Stability's GitHub, which is where the installation process begins.

  • What is the main limitation when using Stability Cascade?

    -The main limitation is that Stability Cascade is for non-commercial use only. Users cannot resell or use it as part of commercial work.

  • How does Stability Cascade compare to other models in terms of speed?

    -Stability Cascade requires only 20 plus 10 additional steps, making it faster than SDXL, which requires 50 steps. However, SDXL Turbo can perform faster with just one step but may struggle with coherence in animations.

  • What is the significance of the 1.5 to 1.4 billion parameters in Stability Cascade?

    -The 1.5 to 1.4 billion parameters in Stability Cascade signify a larger model that can work more accurately with the prompts provided by users.

  • How does Stability Cascade handle training and fine-tuning?

    -Stability Cascade works with a control net called Fun Tune Control Net Laura, which allows it to be compatible with various training and fine-tuning processes.

  • What are the system requirements for running Stability Cascade locally?

    -While the transcript does not specify exact system requirements, it mentions that a powerful GPU like the RTX 3090 is suitable for running the model locally, suggesting that a high-performance graphics card is beneficial.

  • How does Stability Cascade handle image variations?

    -Stability Cascade provides optional image variations and can handle both image-to-image variations and out-painting.

  • What is the process for installing Stability Cascade locally?

    -The process involves downloading and installing from GitHub or using a package manager like Pinocchio. The installation includes setting up the environment, downloading models and packages, and configuring settings.

  • How does Stability Cascade perform in terms of resource utilization during rendering?

    -Stability Cascade performs quite efficiently with resource utilization. It uses less memory and GPU power compared to other models, as demonstrated by the host's experience with an RTX 3090 and 24 GB of RAM.

  • What is the user interface like for Stability Cascade?

    -The user interface for Stability Cascade is very simplified, with options for prompt generation, advanced options, negative prompts, seed, and other settings that control the image generation process.



πŸ“š Introduction to Stability Cascade - A Text-to-Image Architecture

The video begins with the host, Vadir, introducing Stability Cascade, a new release from Stability AI. It is based on the Worchester architecture and is capable of generating images from text prompts more quickly and accurately. Vadir emphasizes that the use of this tool is restricted to non-commercial purposes, meaning that creations cannot be sold or used in commercial work. The code is available on Stability's GitHub, and the video will cover both an overview and a local machine installation. The architecture is described as a large-scale model that performs faster and more accurately with text prompts. It is also mentioned that Stability Cascade is more efficient than SDXL, requiring fewer steps for image generation, although it may not handle coherence in animations as well as SDXL. The model operates with a significant number of parameters, which allows for more accurate results. The video also discusses the use of ControlNet for fine-tuning and the ability to work both in and out of painting.


πŸ’» Installing Stability Cascade Using Pinocchio

The host proceeds to guide viewers through the installation process of Stability Cascade on a local machine using Pinocchio, an application that simplifies the process. He chooses the Windows version for download and addresses a prompt about unverified software, assuring viewers of its safety. The installation involves unzipping the downloaded file and running the setup, which may take some time due to the size of the models being downloaded. Vadir shares his personal experience with the installation process, including the need to run the installation process multiple times due to timeouts and the requirement for administrative access. Once installed, Pinocchio offers a user-friendly interface for installing various scripts, including Stability Cascade, which the host demonstrates by searching for and installing the script.


πŸ–ΌοΈ Testing Stability Cascade's Image Generation Capabilities

After installation, the video showcases the simplified interface of Stability Cascade within Pinocchio, highlighting the prompt generation and advanced options for customization. Vadir experiments with different prompts to create images, comparing the results and adjusting parameters such as the height and number of steps in the image generation process. He notes the fast rendering speed and efficient use of system resources, such as memory and GPU. The host is particularly impressed with the quality of the generated images and the model's ability to handle complex prompts. However, he also points out common issues like 'alien hands' with extra fingers, which can be mitigated with careful negative prompting.


πŸŽ‰ Impressions and Final Thoughts on Stability Cascade

In the concluding part of the video, Vadir expresses his satisfaction with Stability Cascade's performance, particularly noting its fast rendering and the high quality of the images produced. He acknowledges the limitation to non-commercial use and looks forward to future models that may be suitable for commercial applications. The host encourages viewers to subscribe, like, and share the video if they found it helpful, and thanks them for their support.



πŸ’‘Stable Cascade

Stable Cascade is a newly released text-to-image architecture from Stability AI. It is designed to perform faster and more accurately with prompts, creating images at a large scale. The video discusses its capabilities, installation process, and performance, making it a central topic of the content.

πŸ’‘Noncommercial use

This term refers to the limitation that the Stable Cascade software is intended for noncommercial purposes only. This means that users cannot resell the generated images or use them as part of commercial work, which is a crucial consideration for those interested in using the software.


GitHub is a platform where the code for Stable Cascade is made available. It is the source from which the software can be installed, as mentioned in the video. GitHub is a key platform for developers and is central to the process of obtaining and installing Stable Cascade.

πŸ’‘Speed comparison

The video includes a speed comparison between Stable Cascade and other models like SDXL and SDXL Turbo. This comparison is significant as it demonstrates the efficiency and performance of Stable Cascade, which is capable of producing images faster with fewer steps than its counterparts.


Parameters in the context of the video refer to the variables or factors within the Stable Cascade model that influence its operation. The model has 1.4 billion parameters, which contribute to its ability to work accurately with prompts and generate detailed images.

πŸ’‘Fun tune control net Laura

Fun tune control net Laura is mentioned as part of the training process for the Stable Cascade model. It suggests a level of customization and control over the training of the model, which is important for its performance and the quality of the generated images.

πŸ’‘In painting and out painting

These terms refer to the capabilities of the Stable Cascade model to generate images both from existing elements (in painting) and to create entirely new elements (out painting). It showcases the flexibility and creativity of the model in image generation.


Pinocchio is an alternative installation method for Stable Cascade discussed in the video. It is a package manager that simplifies the installation process and is highlighted as a user-friendly option for those setting up Stable Cascade on their local machines.


The process of installing Stable Cascade on a local machine is a significant part of the video's content. It includes detailed steps and considerations, such as choosing the right installation method and dealing with potential issues that may arise during setup.


A prompt in the context of Stable Cascade is an input that guides the model to generate a specific image. The video discusses how to use prompts effectively to control the output of the model, which is essential for creating desired images.

πŸ’‘Quality and performance

The quality and performance of the images generated by Stable Cascade are a major focus of the video. The reviewer is impressed by the high detail and speed at which the model operates, which are key selling points for users interested in using the technology.


Introduction to Stable Cascade, a new release from Stability AI.

Stable Cascade is a large-scale architecture text-to-image system.

The model is designed for non-commercial use only.

All code for Stable Cascade is available on Stability AI's GitHub.

The model performs faster and more accurately with text prompts.

Stable Cascade requires fewer steps compared to SDXL for faster performance.

The model can handle image-to-image variations.

Technical information reveals a library with 1.5 billion parameters.

Stable Cascade works with Fun Tune Control Net Laura.

The model provides both in-painting and out-painting capabilities.

Local installation instructions for Stable Cascade are provided.

Option to install via GitHub or use a package manager like Pinocchio.

Pinocchio supports Stable Cascade and offers an easy installation process.

The interface of Stable Cascade is simplified, focusing on prompt generation.

Stable Cascade offers advanced options including negative prompts and seed control.

The model generates high-quality images with impressive speed and resource efficiency.

Stable Cascade handles complex prompts, such as 'beautiful young woman in a Renaissance portrait', with accuracy.

The model can be further fine-tuned with negative prompts to correct common issues like 'alien hands'.

Stable Cascade is a promising model for research and non-commercial applications.

The video concludes with an encouragement to subscribe for more content on AI models.