Ultimate 8K Upscale with Stable Diffusion Control Net for Flawless Quality!
TLDRIn this informative video, the presenter guides viewers through the process of using Control Net 1.1 for 8K image upscaling with remarkable quality. The video begins with an introduction to the Control Net update and its extensive features, emphasizing the need for a detailed walkthrough due to its complexity. The presenter then demonstrates the installation of the Ultimate SD Upscaler and the VAE Tau upscaler, highlighting the importance of compatible extensions for seamless operation. The core of the tutorial focuses on the 'tile' model's ability to upscale images up to 8K resolution by splitting them into individual tiles, overcoming GPU limitations. The process involves latent upscaling, utilizing scripts for automation, and leveraging the image-to-image tab for control. The video showcases the impressive results achievable through this method, even with images of poor quality, and concludes with a reminder to perform in-painting before upscaling to avoid complications. The presenter's enthusiasm and detailed instructions make the content engaging and informative for viewers interested in advanced image upscaling techniques.
Takeaways
- 📈 **Control Net 1.1 Update**: A significant update to Control Net, version 1.1, has been released, offering more depth and requiring full videos to explain its capabilities.
- 🔍 **Tile Model**: The script discusses the Tile model's ability to perform 8K renders by splitting images into tiles, allowing for individual upscaling and overcoming GPU limitations.
- 🛠️ **Installation Process**: A detailed installation guide for Control Net version 1.1 and the Ultimate SD upscaler is provided, including dealing with potential errors and updating existing installations.
- 📚 **Scripting for Upscaling**: The video introduces the use of scripts for automating the upscaling process, specifically mentioning the XYZ plot for testing different denoising strengths.
- 🧩 **Upscaling Workflow**: The process of upscaling an image using Control Net and the Tile model is outlined, emphasizing the importance of latent upscaling before applying the upscale.
- 🖼️ **Image Quality Improvement**: The script demonstrates how to enhance image quality through upscaling, with a focus on maintaining detail and structure using Control Net.
- 🚀 **High-Resolution Results**: The video shows the results of upscaling to extremely high resolutions, such as 8192 by 8192, and discusses the impressive level of detail achieved.
- 🔧 **Dealing with VRAM Limitations**: Strategies for managing VRAM limitations during the upscaling process are discussed, including adjusting the downsampling rate and using the low VRAM mode.
- ⚙️ **Extensions and Tools**: The necessity of additional tools like the Ultra four times sharp and the VAE Tau upscaler for achieving the best upscaling results is highlighted.
- 🔄 **Iterative Scaling**: The script suggests an iterative approach to scaling, starting with smaller increments and gradually increasing the scale to avoid long processing times and potential errors.
- ✅ **In-Painting Before Upscaling**: It is advised to complete any in-painting tasks before upscaling an image beyond 2048 by 2048 to prevent the need for complex workarounds.
Q & A
What is the main topic of the video?
-The main topic of the video is about an update to a control net 1.1 and how to use it for 8K upscale with Stable Diffusion Control Net for high-quality image processing.
What are the two upscale extensions mentioned in the video for working with the tile model?
-The two upscale extensions mentioned are 'ultimate SD upscale' and 'tile diffusion vae'.
What is the purpose of the 'tile' model in the context of the video?
-The 'tile' model allows for 8K renders by splitting pictures into individual tiles, enabling each one to be upscaled individually and then combined into a single image, overcoming GPU limitations.
How long does the installation video for control net version 1.1 take?
-The installation video for control net version 1.1 is about five minutes long.
What is the name of the tool that can be used to automate the testing of different denoising strengths?
-The tool used to automate the testing of different denoising strengths is referred to as an 'XYZ plot' in the video.
What is the recommended approach when dealing with low VRAM during the upscaling process?
-The recommended approach is to increase the down sampling rate or enable the 'low VRAM' option in the control net settings.
Why is it suggested to do inpainting before upscaling an image past 2048 by 2048?
-It is suggested because once an image is upscaled beyond 2048 by 2048, it cannot be sent back for conventional inpainting without using workarounds or additional extensions.
What is the name of the additional tool needed for the upscaling process?
-The additional tool needed is called 'Ultra four times sharp'.
How does the video demonstrate the effectiveness of the upscaling process?
-The video demonstrates the effectiveness by showing a comparison between the original image and the upscaled images at various stages, highlighting the increased detail and resolution.
What is the maximum resolution that the video demonstrates for upscaling an image?
-The maximum resolution demonstrated in the video is 8192 by 8192.
What is the importance of using the 'image to image' tab for upscaling in this context?
-The 'image to image' tab is important because it allows for the use of control net and tile models to divide the image into tiles for parallel upscaling, which is not possible in the 'extras' tab.
How does the video guide users to install the necessary extensions for upscaling?
-The video provides step-by-step instructions, including copying links from the video description, installing from URLs, and checking for updates in the installed sub-tab of the extensions.
Outlines
🚀 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 update. They mention the need to create separate videos to explain different aspects of the update, particularly the tile model, which allows for 8K renders. The speaker explains that the tile model works by splitting images into individual tiles to upscale each one separately, overcoming GPU limitations. They also discuss the installation of two upscale extensions, Ultimate SD Upscale and Tile Diffusion VAE, and highlight the need for the Ultra Four Times Sharp tool. The process involves using scripts from compatible upscale extensions and emphasizes the complexity of the tile upscale process.
🖼️ Upscaling with Control Net and Image to Image Tab
The speaker provides a step-by-step guide on how to use Control Net for upscaling images. They explain the process of dragging and dropping images into the image-to-image box and using Control Net for dividing the image into tiles to perform parallel upscales. The importance of latent upscale is discussed, and the speaker demonstrates how to improve image quality using the Ultimate SD Upscale extension. They also mention the use of scripts for testing different denoising strengths and show a comparison between different upscaled images. The speaker emphasizes the need to do all inpainting before scaling the image beyond 2048x2048.
🔍 Advanced Upscaling Techniques and Final Results
The speaker details the advanced upscaling process using Control Net and the tile model. They explain how to enable Control Net, choose the correct model, and adjust settings for optimal performance, including managing VRAM usage. The speaker demonstrates how to upscale an image incrementally, starting with a four-time scale and then doubling the size. They discuss the importance of checking the progress to avoid crashes and the need for patience due to the time-consuming nature of the process. The speaker concludes by showing the final upscaled image at 8192x8192 resolution, comparing it with the original and intermediate upscaled versions, and highlighting the exceptional detail and quality achieved.
📚 Conclusion and Advice for Upscaling
The speaker concludes the video by emphasizing the importance of doing inpainting before upscaling to avoid complications. They recap the process of transforming a low-quality image into a high-resolution, detailed image. The speaker encourages viewers to like the video if they found it helpful and shares a personal anecdote before signing off.
Mindmap
Keywords
💡Control Net 1.1
💡8K Upscale
💡Tile Model
💡Ultimate SD Upscale
💡VRAM
💡Image to Image
💡Denoising Strength
💡Scripts
💡Pixel Perfect
💡Inpainting
💡Resolution
Highlights
A control net 1.1 update and full install video was created, showcasing the depth of the tool.
The video had to be cut down, indicating the extensive features of control net version 1.1.
Installing control net version 1.1 is straightforward and takes about five minutes.
An update from version one to 1.1 can be done in approximately two minutes.
The tile model allows for 8K renders as high as 8196 by 8196, overcoming limitations by splitting pictures into tiles.
The tile upscale process is complex and requires scripts from compatible upscale extensions.
Ultimate SD upscale and tile diffusion vae are two upscale extensions used in the process.
The presenter encountered difficulties with the Tau vae and plans to cover it in a future video.
The Ultimate SD upscaler can be easily installed through the extensions tab without needing external links.
The vae Tau upscaler requires a link from the description and involves installing from a URL.
An additional tool, Ultra four times sharp, is needed for the upscaling process.
The upscaling process is done in the image to image tab, not the extras tab.
A latent upscale is performed first to improve the quality of a low-resolution image before upscaling.
Denoising strength is a critical parameter, with higher values leading to significant changes in the image.
An XYZ plot script can automate testing of different denoising strengths.
Control net is used to divide the image into tiles for parallel upscales, managing GPU limitations.
The upscale process can be resource-intensive, with the potential for vram errors.
Inpainting should be done before upscaling past 2048 by 2048 to avoid complications.
The final upscaled image can reach an impressive 8192 by 8192 resolution with high-quality details.