Ultimate SD Upscale Stable Diffusion Tutorial In 9 Minutes (Automatic1111)
TLDRThe video tutorial introduces Ultimate SD Upscale, an extension for the image-to-image section of the web UI, which enhances image detail and resolution. It explains how to install the extension and navigate its options, such as selecting the image size, choosing an upscale model, and deciding the redraw method. The tutorial emphasizes the importance of tile size and denoising strength for quality results and provides a step-by-step guide for upscaling images without artifacts. It also suggests using ControlNet for better performance on low-VRAM computers and recommends iterative upscaling for achieving high resolutions. The presenter, Biz Genius, thanks viewers for their support and encourages them to subscribe for more informative content.
Takeaways
- π **Upscaling with Ultimate SD Upscale**: This tool allows users to upscale images by increasing detail and even adding new details to low-detail images.
- π οΈ **Installation**: Ultimate SD Upscale can be installed via the extension tab in the web UI or by using the 'install from URL' option.
- π **Image to Image Section**: The extension is found in the 'image to image' section under scripts where it can be selected and applied.
- πΌοΈ **Customizing Image Size**: Users can choose the size of the upscaled image using either the image to image settings, a custom size, or a multiplier based on the original size.
- π **Upscale Algorithms**: Several algorithms are available for sharpening and increasing the fidelity of the image, with a recommendation to use the same one as for the highr fix.
- ποΈ **Redraw Methods**: Images can be redrawn using three methods: linear, chess (to reduce visible lines between tiles), or none (which presents the image with minimal changes).
- π’ **Tile Size**: The width and height of the tiles used in the upscaling process can be adjusted, with higher values resulting in fewer artifacts and quicker generation time.
- π **Mask Blur and Padding**: These settings help to reduce the visibility of seams between tiles and consider neighboring pixels when processing a tile.
- 𧩠**Seams Fix**: Various options are available to fix visible grid lines, with 'none' being the default, which disables additional redraw passes.
- π **Band Pass and Noising Strength**: These settings can be adjusted to minimize the visibility of seams and blend them into the image.
- π **Iterative Upscaling**: Running the upscaled image through Ultimate SD again with a slightly decreased denoising strength can refine details for higher resolutions without artifacts.
- π» **Compatibility with Control Net**: The extension can be used in combination with Control Net for better performance on machines with lower VRAM.
Q & A
What is the main purpose of the Ultimate SD Upscale extension?
-The Ultimate SD Upscale extension is used to increase the detail within images by dividing them into equally sized portions called tiles and re-rendering them at a higher resolution.
How can one install the Ultimate SD Upscale extension?
-To install the extension, navigate to the web UI's extension tab, use the available tab to load the index, search for 'Ultimate SD Upscale', press install, and then use the apply and restart UI button in the install tab. Alternatively, you can install it using the 'install from URL' option.
What are the three methods for redrawing an image during upscaling?
-The three methods are Linear, which redraws the tiles one by one in order; Chess, which redraws the tiles in a chessboard pattern to reduce the visibility of lines between the tiles; and None, which disables the redrawing of individual tiles and presents the image at once with minimal changes.
What is the significance of the tile width and height settings in the Ultimate SD Upscale extension?
-The tile width and height determine the size of each tile used to rebuild the image being upscaled. A higher value results in fewer artifacts and quicker image generation time, while a lower value takes longer to process but can yield finer details within the individual tiles.
How does the mask blur setting affect the image during the upscaling process?
-The mask blur setting determines how much blur is applied to the edge of the tiles to avoid visible seams when the image is generated. It helps mitigate the visibility of lines where tiles were redrawn.
What is the role of the padding setting in the Ultimate SD Upscale extension?
-Padding determines how many pixels of the neighboring tiles will be considered when processing a tile. It can help with the seamless blending of tiles, reducing the appearance of seams in the final image.
What is the recommended approach to use the Ultimate SD Upscale extension without scaling the images?
-The recommended steps are: 1) Copy the image into the image-to-image tab with generation data, 2) Navigate to resize by and select a value around two, 3) Set the noising strength to 0.05, 4) Open the extension, set the target size type, choose the same upscaler used for the image's highr fix, and hit generate.
Why is it important to use the same prompts from the image generation when using the Ultimate SD Upscale extension?
-Using the same prompts ensures that the stable diffusion knows what it is trying to redraw and can interpret the type of details to capture, which should be the same as the original image but enhanced.
How does the denoising strength setting affect the final image?
-The denoising strength determines the amount of change and deviation from the original image that's allowed. It should be set at a low value to control the number of changes made. If set too high, the image may undergo many changes, altering its overall look and details.
Can the Ultimate SD Upscale extension be used in combination with ControlNet for better performance on weaker computers?
-Yes, the extension can be used with ControlNet by enabling ControlNet and selecting the 'tower resample' option. This approach is beneficial for weaker machines with less VRAM, potentially providing the same results in a more efficient manner.
What is the benefit of running an upscaled image through Ultimate SD Upscale again?
-Running the image through the extension again can yield even more detail, especially for achieving super high resolutions without artifacts. It's beneficial to slightly decrease the denoising strength each time to build upon previous refinements, taking a step-by-step approach rather than increasing the resolution to the maximum in one go.
How can one find more tutorials on installing and using extensions like Ultimate SD Upscale?
-Additional tutorials can be found by checking the description of the video or the linked resources provided by the creator, such as a Patreon page or a dedicated tutorial page.
Outlines
πΌοΈ Introduction to Ultimate SD Upscale
The first paragraph introduces the concept of upscaling and the use of tools like Magnific for enhancing image details. It then focuses on the Ultimate SD Upscale extension for Automator, which allows users to upscale images and add details. The extension is installed via the web UI's extension tab and can be found under the 'image to image' section. The paragraph also explains the extension's functionality, which involves dividing the image into tiles and then reconstructing it with additional details at a higher resolution. Options for image size, upscale model, and redrawing methods are discussed, along with the importance of tile size and the mask blur feature for reducing visible seams between tiles.
π Advanced Settings and Usage Guide
The second paragraph delves into the advanced settings of the Ultimate SD Upscale extension, such as padding, seams fix, and the upscale checkbox. It discusses the impact of these settings on the final image, particularly in relation to reducing visible lines and improving the blending of tiles. The paragraph provides a step-by-step guide for using the extension without scaling images, emphasizing the importance of using consistent prompts and a low denoising strength to maintain the original image's details. Additionally, it explores the use of Control Net for better performance on computers with limited VRAM and suggests iteratively running the upscaled image through the extension for higher resolutions without artifacts. The paragraph concludes with a call to action for viewers to subscribe and engage with the content.
Mindmap
Keywords
π‘upscaling
π‘Ultimate SD Upscale
π‘extension
π‘image to image
π‘tiles
π‘high fidelity
π‘seams
π‘denoising
π‘mask blur
π‘control net
Highlights
Upscaling images with low detail has become popular with the release of premium tools like Magnific.
Ultimate SD Upscale is an extension for Automatic1111 that achieves similar results to premium upscaling tools.
The extension divides images into tiles and repaints them at a higher resolution to add detail.
Installation of Ultimate SD Upscale is done through the web UI's extension tab.
The extension is found under the 'Image to Image' tab in the scripts section of the web UI.
Users can choose the size of the upscaled image using custom sizes or a multiplier based on the original size.
Multiple upscale models are available, each using different algorithms to sharpen and increase image fidelity.
Three methods are available for redrawing the image during upscaling: linear, chess, and none.
Tile width and height determine the size of each tile used in the image reconstruction process.
Higher tile values result in fewer artifacts and quicker image generation, while lower values provide finer details.
Mask blur helps to reduce the visibility of seams between tiles in the upscaled image.
Padding considers neighboring tiles when processing, which can help with reducing visible seams.
Seams fix options are available to further blend the seams into the upscaled image.
The 'Upscale' checkbox determines whether the upscale options are utilized for the extension.
Control Net can be used in combination with Ultimate SD Upscale for better performance on computers with low VRAM.
Running an upscaled image through Ultimate SD Upscale again can refine details for super high resolutions.
A step-by-step guide is provided to upscale images without generating artifacts.
Using the same prompts from image generation helps Stable Diffusion to interpret and capture the desired details.
Denoising strength is crucial and should be set low to control the number of changes made to the original image.
The video provides a demonstration of the upscaling process and its impact on image detail and quality.