3 Ways to UPSCALE Ai Images (Free!) + COMPARISON

Philip Anders
19 Mar 202417:30

TLDRThe video introduces three methods to enhance AI image quality without cost. The first method involves using an online tool called dgb, which offers bulk image upscaling and various models for different results. The second method is Upscale.org, a software that uses the user's device for upscaling, ideal for those with powerful GPUs. Lastly, the video discusses vectorizing with SVG converter, an alternative for increasing image quality suitable for simple graphics. The video compares the results of these methods, highlighting their unique advantages and applications.


  • 🌟 DGB is a free online AI image upscaler that allows users to process up to 20 images at once, with options to upscale up to 8X.
  • 🚀 The AI image upscaler on DGB also includes an 'enhance' feature that optimizes image quality before upscaling, improving color vibrancy and reducing artifacts.
  • ⏱️ The upscaling queue on DGB has varying wait times depending on the site's usage, but offers high-quality results without any cost.
  • 💻 Upscale.org is an alternative upscaling tool that runs on the user's own device, utilizing the user's GPU for processing.
  • 📈 Upscale.org offers a 'double upscale' feature, allowing for a 16X increase in pixel count, though it may take longer and is not recommended for slower devices.
  • 🎨 Users have the option to adjust settings like color scheme and image scale on Upscale.org for further customization of the upscaling process.
  • 🗂️ Batch upscaling is available on Upscale.org, enabling users to process multiple images consecutively using the same settings.
  • 🔄 Vectorizing is another method to enhance image quality, converting pixel-based images into vector formats for crisp, scalable graphics.
  • 🖼️ SVG Converter is a recommended free tool for vectorizing images, offering options to adjust color limits and blending modes for better results.
  • ✏️ SVG Converter also provides basic image editing tools, allowing users to modify the vectorized image directly before finalizing and downloading.
  • 🔍 A comparison between DGB, Upscale.org, and SVG Converter reveals that each tool has its strengths, with DGB offering a balance of quality and ease of use, especially for those without high-end devices.

Q & A

  • What are the three methods discussed in the video to improve the quality of AI images?

    -The three methods discussed are using the AI image upscaler on dgb, using the software Upscale.org for local upscaling, and vectorizing images with SVG converter.

  • What is the main advantage of using dgb for image upscaling?

    -The main advantage of dgb is that it allows users to upscale images in bulk for free and offers a variety of upscaling models to achieve different results.

  • How many images can be added to the upscaling queue at once on the free version of dgb?

    -Up to 20 images can be added to the upscaling queue at once on the free version of dgb.

  • What is the 'Enhance input image' option in dgb and how does it work?

    -The 'Enhance input image' option in dgb works like a mini Photoshop AI that scans the image for imperfections and optimizes the colors and other aspects before upscaling, resulting in better output quality.

  • What is the difference between the free version and the paid version of Upscale.org?

    -The free version of Upscale.org allows for upscaling images up to 4X, while the paid version offers higher upscaling capabilities, such as 16X upscale.

  • Why might a user choose to use SVG converter over Upscale.org or dgb?

    -A user might choose to use SVG converter if they prefer working with vectorized images or if their graphics are very simplistic and would benefit more from a vector format.

  • How does vectorizing an image differ from upscaling it?

    -Vectorizing an image creates a scalable image where the details are defined by a set of points and lines, resulting in crisp edges and shapes. Upscaling, on the other hand, increases the pixel resolution of a raster image, which can sometimes result in pixelation or loss of detail.

  • What is the 'Double upscale' feature in Upscale.org and what does it achieve?

    -The 'Double upscale' feature in Upscale.org runs the image through the upscaling process twice, effectively achieving a 16X upscale from the original image size.

  • What are some tips for optimizing the results with SVG converter?

    -To optimize results with SVG converter, users can adjust settings such as limiting the number of colors to a custom range, changing the blending mode, and manually editing the vectorized image to fix imperfections or add details.

  • How does the video demonstrate the effectiveness of the different upscaling and vectorizing methods?

    -The video compares the results of upscaling and vectorizing the same image using dgb, Upscale.org, and SVG converter, showing the differences in output quality, detail preservation, and aesthetics.

  • What is the recommended setting for the 'Image scale' option in Upscale.org?

    -The video suggests using the default setting for 'Image scale', which is JPEG, and then converting the upscaled image to PNG by removing the background for better quality.



🎨 Introducing AI Image Upscaling Techniques

The paragraph introduces various methods to enhance the quality of AI-generated images at no cost. It highlights the first method, using an online tool called dgb, which allows users to upscale images in bulk, a feature unique to this service. The tool offers different upscaling models suitable for various types of input images, from cartoons to photographs, and supports up to 8X scaling for free. The paragraph emphasizes the benefits of using dgb, including its ability to improve image quality before upscaling and the option to enhance the input image for better output results. It also mentions the waiting time for the upscaling process and the convenience of using the tool without being tied to one's own device's capabilities.


🖥️ Upscaling with Upscale.Org: Device-Based Solution

This section discusses the second method for AI image upscaling, which involves using a software called Upscale.Org. Unlike dgb, this tool runs on the user's own device, utilizing its GPU for upscaling. This method is ideal for users with powerful machines and graphics cards, as it offers faster results without waiting times. However, it may not be suitable for those with slower computers or laptops. The paragraph also mentions that Upscale.Org is developing an online version and provides a brief tutorial on how to use the software, including changing settings, selecting images, choosing models, and using batch upscaling for multiple files.


📐 Vectorizing Graphics with SVG Converter

The third method presented in the paragraph involves vectorizing AI-generated graphics using an online tool called SVG Converter. This technique is different from upscaling as it creates crisp, smooth lines and can handle simple graphics more effectively. The paragraph explains the process of vectorizing an image using the tool, including adjusting settings for optimal results, such as limiting colors and refining edges. It also demonstrates how to edit and enhance the vectorized image directly on the platform, and provides a comparison of the results from different upscaling and vectorizing methods, emphasizing the unique aesthetics and advantages of each approach.


🔎 Comparative Analysis of Upscaling and Vectorizing Techniques

The final paragraph offers a detailed comparative analysis of the three AI image enhancement techniques discussed earlier: dgb upscaling, Upscale.Org, and SVG Converter vectorizing. It examines the results of each method at different zoom levels and highlights the differences in quality, detail, and aesthetics. The paragraph concludes that while Upscale.Org provides higher pixel results, dgb offers better contrast and color vibrancy due to its image enhancement feature. It also notes that SVG Converter results in a distinct vectorized aesthetic with crisp outlines but less detail compared to raster-based methods. The summary encourages viewers to consider their specific needs and preferences when choosing between upscaling and vectorizing their graphics.



💡AI images

AI images refer to visual content that is created or enhanced by artificial intelligence algorithms. In the context of the video, AI images are the primary subject of enhancement and upscaling, with the goal of improving their quality for various applications such as t-shirt designs or posters.


Upscaling is the process of increasing the resolution of an image, typically by using AI algorithms to add more pixels without losing the quality or clarity of the original image. In the video, upscaling is a key method to enhance AI images for higher resolution outputs.


DGB, or Deep Image Prior, is an AI-based upscaling method that allows users to enhance the quality of images in bulk for free. It offers various models to achieve different results and has an additional feature to enhance the input image before upscaling.


An upscaler is a tool or software that increases the size of images without reducing their quality. In the video, it refers to both online services and downloadable software that can perform upscaling tasks on AI images.


Vectorizing is the process of converting a raster image (composed of pixels) into a vector image (composed of lines and curves). This can result in crisp, scalable images that do not lose quality when resized.


Resolution refers to the number of pixels in an image, which determines its size and detail. Higher resolution images have more pixels and can be displayed at larger sizes without becoming pixelated.


In the context of image editing, to enhance an image means to improve its visual quality by adjusting attributes such as color, contrast, sharpness, or removing imperfections. The video mentions an enhance feature in DGB that optimizes the image before upscaling.

💡Batch processing

Batch processing is the ability to process multiple files or tasks simultaneously, often used in image editing and upscaling to handle a large number of files at once. In the video, it is highlighted as a feature of the Upscale dorg software.


A GPU, or Graphics Processing Unit, is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images in a frame buffer intended for output to a display device. In the video, it is mentioned that having a fast GPU can improve the speed of upscaling with software like Upscale dorg.

💡SVG converter

SVG converter is a tool that transforms images into Scalable Vector Graphics (SVG) format, which is a type of XML-based vector image format for two-dimensional graphics with support for interactivity and animation. In the video, it is presented as an alternative to upscaling for certain types of AI images.


The introduction of three different methods to enhance the quality of AI images for free.

The recommendation of the online tool dgb for bulk image upscaling, which is a unique feature not commonly offered for free.

The availability of various upscaling models on dgb to cater to different types of input images, from cartoons to photographs.

The ability to upscale images up to 8X on dgb for free, which is higher than most free alternatives.

The enhancement feature on dgb that optimizes the image quality before upscaling, similar to a mini Photoshop AI.

The comparison between having the enhancement feature enabled versus disabled, showing improved output quality with the feature on.

The explanation of the upscaling queue and the estimated waiting time on dgb, which is acceptable considering the quality of the results.

The introduction of the second method, Upscale.dorg, which works on the user's own device utilizing its GPU for upscaling.

The discussion on the suitability of Upscale.dorg for users with fast machines and its potential limitations for those with slower devices.

The mention of an online version of Upscale.dorg in development, with an option to join the waitlist.

The description of the vectorizing method as an alternative to upscaling, with the recommendation of SVG converter as a free tool.

The demonstration of the vectorizing process with SVG converter, including the option to manually edit and refine the vectorized image.

The comparison of the results from dgb, Upscale.dorg, and SVG converter, highlighting the differences in aesthetics and quality.

The conclusion that dgb may be the most applicable option for most users due to its balance of quality and ease of use.

The suggestion to use SVG converter for working with very simplistic graphics that may benefit from a vector format.

The provision of a comprehensive guide for users who are uncertain about whether to upscale or vectorize their graphics.