Ultimate 8K Upscale with Stable Diffusion Control Net for Flawless Quality!
TLDRIn this comprehensive tutorial, the YouTuber demonstrates how to upscale images to an impressive 8K resolution using the Control Net 1.1 update. The video covers the installation of necessary extensions, such as the Ultimate SD Upscaler and the VAE Tau Upscaler, and guides viewers through the process of using the tile model to split images into sections for individual upscaling. The host also shares tips for managing VRAM limitations and emphasizes the importance of image-to-image mode for this technique. With a focus on achieving high-quality results, the video showcases the transformation of a low-resolution image into a stunning, detailed 8K image, highlighting the potential of this method for enhancing image quality.
Takeaways
- 📈 **Control Net 1.1 Update**: A significant update to Control Net 1.1 was released, requiring a full install video due to its complexity and depth.
- 🔍 **Tile Model**: The script discusses the Tile model's ability to perform 8K upscales by splitting images into tiles and processing them individually to overcome hardware limitations.
- 🛠️ **Installation Process**: Detailed steps are provided for installing Control Net version 1.1 and updating from version one, including dealing with potential errors.
- 📚 **Extensions and Tools**: The video covers the installation of the Ultimate SD upscaler and the vae Tau upscaler, along with the Ultra four times sharp tool for enhanced image quality.
- 🖼️ **Image to Image Tab**: Upscaling is performed in the 'image to image' tab rather than the 'extras' tab, which is a departure from the norm.
- 🔍 **Latent Upscale**: The process begins with a latent upscale to improve the quality of a low-resolution image before applying the upscale techniques.
- 📈 **XYZ Plot for Testing**: An XYZ plot is used to automate testing of different denoising strengths, eliminating the need for manual adjustments.
- 🧩 **Control Net for Posing**: Control Net is utilized not just for upscaling, but also to manage poses and frames of the picture, dividing them into tiles for parallel processing.
- 🚀 **Upscaling to 8K**: The video demonstrates how to upscale an image to an impressive 8192 by 8192 resolution, showcasing the high quality and detail of the final result.
- ⏱️ **Time Consideration**: Upscaling to high resolutions is a time-consuming process, and viewers are advised to monitor progress to avoid crashes due to low VRAM.
- ⚙️ **Pre-Upscaling Tasks**: It's crucial to complete any in-painting before upscaling past 2048 by 2048 to avoid complications and the need for additional extensions.
Q & A
What is the main topic of the video?
-The main topic of the video is about performing an 8K upscale using a control net 1.1 update and various tools and scripts to achieve high-quality image enhancement.
What is the purpose of the 'tile' model in the context of image upscaling?
-The 'tile' model allows for 8K renders by splitting pictures into individual tiles, enabling the upscaling of each tile separately and then combining them into a single image, which helps work around limitations related to GPU memory and processing power.
How long does the installation process for control net version 1.1 take?
-The installation process for control net version 1.1 is about five minutes long, while an update from version 1 to 1.1 takes approximately two minutes.
What are the two upscale extensions mentioned in the video?
-The two upscale extensions mentioned are 'ultimate SD upscale' and 'tile diffusion vae'.
What is the role of the 'denoising' strength in the image upscaling process?
-The denoising strength is a parameter that helps to reduce noise in the upscaled image. It is adjustable and can be set according to the quality of the original image, with higher denoising strength used for more degraded images.
How does the 'XYZ plot' script help in the upscaling process?
-The 'XYZ plot' script automates the testing of different denoising strengths by creating a series of images with varying levels of denoising applied, allowing the user to quickly compare results and select the most suitable one.
What is the 'latent upscale' and why is it done before using control net?
-A 'latent upscale' is an initial upscaling step to improve the quality of a low-resolution image before further processing. It is done before using control net to ensure that the image has a good quality base to work from, preventing the introduction of artifacts or degradation during the upscale process.
What is the 'Pixel Perfect' option used for in the control net?
-The 'Pixel Perfect' option in control net is used to select the appropriate resolution for the upscaling process, which can help manage GPU memory usage and processing time.
What is the recommended approach when upscaling an image beyond 2048 by 2048 pixels?
-Before upscaling an image beyond 2048 by 2048 pixels, it is recommended to perform any necessary in-painting to fix details in the image. Upscaling beyond this resolution can make it difficult to return to the original size for conventional in-painting without using additional extensions or workarounds.
What is the final resolution achieved in the video after multiple upscaling steps?
-The final resolution achieved in the video after multiple upscaling steps is 8192 by 8192 pixels.
What is the importance of checking the web UI user file during the upscaling process?
-Checking the web UI user file during the upscaling process is important to ensure that the process is still running and has not crashed, especially since the upscaling can take a long time and may encounter issues such as running out of video memory (VRAM).
Outlines
🚀 Introduction to Control Net 1.1 and Tile Model Upscaling
The speaker introduces a recent update to Control Net 1.1 and discusses the complexity of the update, which necessitates separate videos to explain different aspects. They mention the Tile model's capability for 8K rendering and its method of overcoming hardware limitations by dividing images into tiles for individual upscaling. The speaker also talks about the need for specific scripts and extensions, such as Ultimate SD Upscale and Tile Diffusion VAE, for the Tile model to function properly. They detail the process of installing the Ultimate SD upscaler and the VAE Tau upscaler, and highlight the importance of using the correct version of the Tau model for optimal results.
🖼️ Upscaling Process and Control Net Utilization
The speaker explains the process of using Control Net for upscaling images by dividing them into tiles, which allows for parallel processing and overcoming GPU limitations. They demonstrate how to perform a latent upscale on a low-quality image to improve its details before upscaling. The use of negative prompts and custom embeddings is mentioned, along with an automated approach to testing different denoising strengths using scripts. The speaker also shows how to use Control Net with a specific focus on poses and frames, emphasizing the importance of enabling Control Net and selecting the correct model and settings for successful upscaling.
🔍 Advanced Upscaling Techniques and Result Analysis
The speaker delves into advanced upscaling techniques, utilizing the Ultimate upscale and four times Ultra sharp enhancements. They discuss the importance of setting the target size type to scale from image size for easier handling and avoiding crashes due to low vram errors. The process involves incrementally scaling up the image, starting with a 4x scale and then doubling the size for further enhancement. The speaker shares the results of upscaling an image to an impressive 8192 by 8192 resolution, showcasing the high level of detail and quality achieved. They also compare the upscaled images with the original and emphasize the importance of conducting in-painting tasks before scaling up images to avoid loss of detail.
📚 Conclusion and Final Thoughts on Upscaling
The speaker concludes the video by emphasizing the importance of completing in-painting tasks before upscaling images to high resolutions. They summarize the journey from a low-quality image to a highly detailed 8192 by 8192 image, highlighting the significant improvement in quality. The speaker encourages viewers to like the video if they found it helpful and shares a light-hearted moment before signing off.
Mindmap
Keywords
💡Control Net
💡Upscale
💡Tile Model
💡VRAM
💡Ultimate SD Upscale
💡Denoising Strength
💡Image to Image
💡Impainting
💡Extensions
💡Resolution
💡Scripts
Highlights
Control net 1.1 update offers significant depth and requires full videos to explain different models.
Installation of control net version 1.1 is detailed in a separate video, taking about five minutes.
The tile model allows for 8K renders up to 8196 by 8196, overcoming limitations by splitting pictures into individual tiles.
Upscaling to such high resolutions requires substantial time even with powerful hardware.
The tile upscale process is complex and works through scripts from compatible upscale extensions.
Ultimate SD upscaler and vae Tau upscaler are two tools introduced for the upscaling process.
The installation process for both the Ultimate SD upscaler and the vae Tau upscaler is outlined.
An additional tool, Ultra four times sharp, is required for the upscaling process.
The upscaling process is conducted 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.
Custom scripts and the XYZ plot are used to automate the testing of different denoising strengths.
Control net is enabled for poses and frames, dividing the picture into tiles for parallel upscales.
Incremental scaling is recommended to avoid long processing times and potential errors.
The upscaled image at 4096 by 4096 resolution shows significant detail and quality improvements.
Denoising strength is adjusted during the upscale process to prevent over-processing of the image.
The final upscaled image at 8192 by 8192 resolution is remarkably detailed with no visible pixelation.
Impainting should be done before upscaling past 2048 by 2048 to avoid complications.
The video demonstrates a method to upscale images to extremely high resolutions while maintaining quality.
