Ultimate 8K Upscale with Stable Diffusion Control Net for Flawless Quality!

Artificially Intelligent
22 May 202316:19

TLDRIn this informative video, the presenter guides viewers through the process of upgrading to Control Net version 1.1, a tool that offers significant depth and functionality for image upscaling. The video covers the installation of the Ultimate SD Upscaler and the VAE Tau Upscaler, as well as the use of the 'tile' model for 8K renders. The presenter demonstrates how to upscale an image in stages, starting with a latent upscale to improve the initial quality, followed by a detailed walk-through of using Control Net for tiling and parallel upscaling. The video concludes with a comparison of the original image to the final upscaled version, showcasing the impressive results achievable with this method, and advises viewers to complete any image in-painting before upscaling to avoid potential issues.


  • 📈 **Control Net 1.1 Update**: A significant update to Control Net, version 1.1, which is so feature-rich that it warrants full-length videos to explain its depth.
  • 🔍 **Tile Model**: The script discusses a tile model that allows for 8K renderings by splitting images into tiles and upscaling them individually to overcome hardware limitations.
  • 🛠️ **Installation Process**: The video provides a guide on installing Control Net version 1.1 and the Ultimate SD upscaler, including steps for both beginners and those updating from a previous version.
  • 🧩 **Upscaling Workflow**: It's explained that the tile upscale process is not straightforward and involves using scripts from compatible upscale extensions for effective results.
  • 🖼️ **Image Quality Improvement**: The script demonstrates how to improve a low-quality image through a latent upscale, using denoising strengths and additional prompts to refine the image.
  • 🔧 **Technical Adjustments**: The importance of making technical adjustments such as enabling Control Net, selecting the correct model, and adjusting the resolution for optimal results is highlighted.
  • 🚀 **Automating the Process**: The use of scripts, like the XYZ plot, is shown to automate the testing of different denoising strengths, saving time and effort.
  • 💾 **VRAM Management**: The video offers solutions for handling VRAM limitations, such as adjusting the downsampling rate or using the low VRAM option to prevent crashes during intensive upscaling tasks.
  • 🔍 **In-Depth Upscaling**: A step-by-step guide is provided for upscaling an image to a high resolution of 8192 by 8192, emphasizing the need for incremental scaling and careful monitoring of the process.
  • 🖌️ **In-Painting Before Upscaling**: It's advised to perform any necessary in-painting on an image before scaling it up to large dimensions, as it becomes more challenging to do so afterward.
  • 📚 **Further Learning**: The presenter mentions returning with more information on certain topics, like the Tau vae, once they have a better understanding, indicating ongoing learning and exploration.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is about upgrading and installing Control Net 1.1 for 8K image upscaling using various tools and scripts.

  • What is the purpose of the 'tile' model in the upscaling process?

    -The 'tile' model allows for 8K renders by splitting images into individual tiles, enabling the upscaling of each tile separately and then combining them into a single high-resolution image.

  • What is the role of the 'Ultimate SD upscaler' in the process?

    -The 'Ultimate SD upscaler' is an extension used for upscaling images. It is installed to assist with the upscaling process, particularly when working with the tile model.

  • How does the video guide viewers through the installation of the required tools?

    -The video provides a step-by-step guide, including navigating to the extensions tab, searching for and installing specific extensions like 'Ultimate SD upscaler' and 'vae Tau upscaler', and adding the 'Ultra four times sharp' tool to the models folder.

  • What is the significance of the 'image to image' tab in the upscaling process?

    -The 'image to image' tab is where all the upscaling actions take place. It is important to be in this tab to access the upscaling features, as opposed to the 'extras' tab, which is used for different types of image modifications.

  • What is the recommended approach when encountering VRAM (Video RAM) issues during upscaling?

    -The video suggests increasing the downsampling rate or selecting the 'low VRAM' option in Control Net to manage VRAM issues. It also mentions that performing upscaling in increments can help avoid crashes due to insufficient VRAM.

  • How does the video demonstrate the upscaling process?

    -The video demonstrates the upscaling process by showing a live example. It starts with a low-quality image, performs a latent upscale, and then uses the tile model and Control Net to upscale the image to 8K resolution.

  • What is the importance of doing in-painting before upscaling an image?

    -In-painting should be done before upscaling an image past 2048 by 2048 pixels to ensure the image retains its details and quality. Once an image is upscaled beyond this resolution, it cannot be sent back for conventional in-painting without using additional extensions or workarounds.

  • What are the potential issues that can arise when upscaling an image to very high resolutions, such as 8K?

    -Upscaling to very high resolutions can lead to artifacts, especially around detailed areas like eyes. Additionally, the process can be resource-intensive, leading to potential VRAM errors and long processing times.

  • How does the video help users understand the complexity of the upscaling process?

    -The video breaks down the upscaling process into understandable segments, explaining each tool's role, how to install them, and how to use them effectively. It also provides visual comparisons between the original and upscaled images to highlight the improvements.

  • What is the final resolution achieved in the video demonstration?

    -The final resolution achieved in the video demonstration is 8192 by 8192 pixels, which is considered an 'insane' quality as mentioned in the video.



📹 Introduction to Control Net 1.1 and Tile Upscaling

The speaker discusses their recent Control Net 1.1 update and full install video, which was extensive due to the depth of the subject. They mention the need to split good content into full videos to cover different aspects of Control Net 1.1. The focus then shifts to the Tile model, which allows for 8K renders by splitting images into tiles and upscaling them individually, overcoming hardware limitations. The speaker also talks about the process of installing necessary extensions for the Tile model, including Ultimate SD Upscale and Tile Diffusion VAE, and addresses a potential issue with VRAM.


🖼️ Upscaling Process and Control Net Utilization

The paragraph explains the process of using Control Net for upscaling images by dividing them into tiles. It emphasizes the importance of doing this in the 'image to image' tab and the necessity of a latent upscale due to the poor quality of the original image. The speaker demonstrates how to use the Ultimate SD Upscaler and Control Net for upscaling, including adjusting denoising strength and using scripts for automation. They also mention the potential for changing poses and the iterative process of finding the best upscale settings.


🔍 Final Upscaling and Quality Assessment

The speaker continues the upscaling process by using the Ultimate upscale option and the four times Ultra sharp tool previously installed. They discuss setting the target size type to scale from image size for easier management and the option to upscale in increments to avoid long processing times and potential crashes due to low VRAM. The result is a high-quality 4096 by 4096 image, which is then further upscaled to 8192 by 8192, showcasing an impressive level of detail without pixelation.


🖋️ Post-Upscaling Tips and Conclusion

The final paragraph provides advice on completing any inpaintings before upscaling images beyond 2048 by 2048, as it becomes more challenging to do so afterward. The speaker recaps the upscaling journey from a low-quality image to a high-resolution 8192 by 8192 image and encourages viewers to like the video if they found it helpful. They also share a light-hearted moment before concluding the video.



💡Control Net 1.1

Control Net 1.1 is an update to a software tool used for image processing. In the context of the video, it is a significant upgrade that introduces new features and capabilities, allowing for more complex and higher quality image upscaling. The update is so comprehensive that it necessitates a full installation video and multiple follow-up videos to cover all its aspects.

💡8K Upscale

8K Upscale refers to the process of increasing the resolution of an image to 8K quality, which is a very high resolution of approximately 8196 by 8196 pixels. The video discusses a method to achieve this using tiling, which involves breaking down the image into smaller parts and upscaling each part individually to overcome hardware limitations.

💡Tile Model

The Tile Model is a feature that allows for the splitting of an image into multiple tiles. This is particularly useful for upscaling large images, as it enables the software to process and upscale each tile separately, which can be combined into a single high-resolution image. It is a core part of the upscaling process described in the video.

💡Ultimate SD Upscale

Ultimate SD Upscale is an extension or script that works with the tile model to perform high-quality image upscaling. It is mentioned as a necessary component for the upscaling process, which the video demonstrates how to install and use within the software for achieving superior results.


VRAM, or Video RAM, refers to the memory used by a computer's graphics processing unit (GPU) to store image data. The video discusses the limitations of VRAM in the context of upscaling large images, and how the tile model can help overcome these limitations by processing images in smaller segments.

💡Image to Image

Image to Image is a mode within the software that allows for the manipulation and enhancement of one image using another as a reference or 'control' image. This mode is crucial for the upscaling process shown in the video, as it enables the software to use the control image to guide the upscaling of the primary image.

💡Denoising Strength

Denoising Strength is a parameter in image processing that controls the intensity of noise reduction applied to an image. In the video, adjusting the denoising strength is part of the upscaling process, where higher values can result in a cleaner image but may also alter the original content more significantly.


Scripts in this context are automated sequences of commands within the software that perform specific tasks, such as varying the denoising strength or controlling the upscaling process. The video demonstrates how to use scripts to automate and streamline the upscaling workflow.

💡Pixel Perfect

Pixel Perfect refers to an upscaling method that aims to maintain the integrity and sharpness of pixelated details in an image. The video mentions choosing 'Pixel Perfect' as an option when setting up the upscaling process to ensure high-quality results.


Impainting is the process of filling in missing or damaged areas of a digital image. The video advises performing impainting before upscaling an image to a resolution beyond 2048 by 2048 pixels, as it becomes more challenging to do so at higher resolutions without additional tools or extensions.

💡Stable Diffusion

Stable Diffusion is a term that likely refers to the overall system or software being used for image processing in the video. It is implied to be a platform where extensions like Control Net and upscaling scripts are integrated to perform advanced image manipulation tasks.


Control net 1.1 update and full install video provides depth on how to explain different models.

Tile model allows 8K renders up to 8196 by 8196, overcoming limitations by splitting pictures into tiles.

The Ultimate SD upscaler and Tile Diffusion VAE are two compatible upscale extensions used for the process.

Installing the Ultimate SD upscaler is straightforward and does not require an external link.

The VAE Tau upscaler requires a link from the video description and installation via a URL.

Ultra Four Times Sharp is an additional tool needed for the upscaling process.

Before upscaling, ensure that image inpainting is done, especially for images exceeding 2048 by 2048.

The image-to-image tab is used for upscaling, differing from the usual extras tab.

Latent upscale is performed first to improve the initial image quality before further upscaling.

Control net is used for poses and frames, dividing the image into tiles for parallel upscales.

Denoising strength is a crucial parameter, with higher values leading to more significant changes in the image.

XYZ plot and scripts can automate the testing of different denoising strengths.

The Ultimate upscale process involves selecting the correct model and resolution for the desired outcome.

Upscaling to 4096 by 4096 significantly improves image quality, with control net maintaining the image's integrity.

Further upscaling to 8192 by 8192 results in an image with no visible pixelation, even when zoomed in closely.

The original image is compared with the upscaled versions, showcasing the dramatic improvement in detail and quality.

Viewer engagement is encouraged through likes and feedback, which helps the creator.