Stable Diffusion - Better Images with FreeU - Fooocus

Kleebz Tech AI
1 Apr 202408:35

TLDRIn this video, Rodney from Kleebz Tech explores the FreeU feature in Fooocus, a tool that claims to enhance image quality without additional training. He delves into the settings, which are found in the debug settings, and explains the functions of the B (backbone) and S (skip connections) values. Rodney demonstrates the impact of adjusting these settings on various images, noting that the effectiveness of FreeU is subjective and depends on the desired outcome. He suggests using FreeU to tweak images that are close to the desired result, and encourages viewers to experiment with the settings to achieve their preferred style and level of detail.


  • πŸ” FreeU is a feature in Fooocus that claims to improve image quality without extra training.
  • πŸ”§ The settings for FreeU are located in the Advanced tab under Developer/Debug mode in Fooocus.
  • 🎨 FreeU consists of two main adjustable parameters: B for backbone and S for skip connections, affecting the core structure and finer details of an image, respectively.
  • πŸ€” There is no one-size-fits-all setting for FreeU; what works best is subjective and depends on the desired outcome.
  • 🌐 Recommended settings can be found online, such as on GitHub, but results may vary and require personal experimentation.
  • πŸ“Έ Adjusting the S value can reduce textures and details in an image, while manipulating the B value can add or enhance them.
  • πŸ–ΌοΈ The effectiveness of FreeU varies with different types of images; it may improve some while not making a significant difference to others.
  • 🌟 For photorealistic images, FreeU may sometimes lead to oversaturation, and careful adjustment is needed to achieve a balanced result.
  • 🎭 FreeU can be particularly beneficial for anime-style images, adding detail and texture in a way that may be preferred for this style.
  • πŸ’‘ A suggested workflow is to generate an image, then fine-tune it using FreeU settings based on personal preference and the desired outcome.
  • πŸ”„ The speaker is still exploring FreeU and does not yet have a definitive conclusion on its overall effectiveness.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is about FreeU, specifically Free Lunch and Diffusion U-Net, and how it can be used in Fooocus to potentially improve image quality without extra training.

  • Where can the FreeU settings be found in Fooocus?

    -The FreeU settings can be found in Fooocus by going to the Advanced tab, then Developer/Debug mode, and finally locating the FreeU tab within it.

  • What do the B and S values in FreeU represent?

    -In FreeU, the B value represents the backbone, focusing on the main structure of the image, while the S value is for the skip connections, emphasizing finer details and textures.

  • What was Rodney's approach to experimenting with FreeU settings?

    -Rodney's approach involved generating images, making adjustments to the FreeU settings to increase or decrease details, and observing the impact on the image quality. He also tried different recommended settings from various sources, including the GitHub page.

  • How does the effectiveness of FreeU vary with different images?

    -The effectiveness of FreeU varies with different images. Some images showed improvement with certain settings, while others did not. It also depends on the desired outcome, as some settings may add textures and details that enhance the image, while others may reduce them.

  • What is the general consensus about FreeU's impact on anime versus photorealistic images?

    -From what Rodney found and read online, FreeU seems to work better for anime-style images compared to photorealistic ones, especially when it comes to adding details and textures.

  • How does Rodney suggest using FreeU for best results?

    -Rodney suggests generating an image first, and if it's close to the desired outcome, to then enable FreeU and adjust the settings while keeping the seed the same for consistent results. He emphasizes that there's no guaranteed setting and encourages users to experiment to find what works best for them.

  • What was Rodney's conclusion about FreeU after his experimentation?

    -Rodney concluded that FreeU doesn't necessarily make better images, but it does make them different. He hasn't fully made up his mind on its effectiveness, as he hasn't had enough time to experiment extensively with it.

  • How can one compare the results of different FreeU settings on a specific image?

    -To compare the results, one can generate an image, adjust the FreeU settings while keeping the seed the same, and then generate the image again with the adjusted settings. The two images can then be compared side by side to see the impact of the changes.

  • What is Rodney's advice for users who want to explore FreeU further?

    -Rodney advises users to keep playing around with FreeU, experimenting with different settings, and discovering what they can do with it to improve or alter their images according to their preferences.

  • How did Rodney handle the lack of detailed information about FreeU online?

    -Rodney handled the lack of detailed information by conducting his own research and experiments, using recommended settings from various sources, and sharing his findings and experiences through the video.



πŸ–ΌοΈ Introduction to FreeU in Fooocus

The video begins with Rodney from Kleebz Tech introducing the topic of FreeU, a feature in Fooocus that claims to improve image quality without additional training. Rodney explains that while FreeU is not exclusive to Fooocus, he has received inquiries about its settings. He admits to not having a full understanding of the technology and lacking detailed information online. Rodney then provides a general overview of where to find FreeU settings in Fooocus, which are located in the Advanced tab under Developer/Debug mode. He describes the B and S values within FreeU, noting that B affects the backbone or main structure of the image, while S focuses on finer details and textures. Rodney shares that he found recommended settings online, particularly from the GitHub page, and has experimented with these to show their effects on images. He emphasizes the subjective nature of what constitutes an 'improved' image and encourages viewers to explore the settings based on personal preferences.


πŸ” Experimentation and Results with FreeU

Rodney discusses his experimentation with FreeU, noting that the impact on image quality varies. He shares his process of adjusting the B and S values and observing the changes in image quality. Rodney uses several images to illustrate the differences, including a mushroom scene, a wizard, and a woman eating a burger. He finds that for some images, FreeU adds desirable detail and realism, while for others, it may lead to an oversaturated or unrealistic appearance. Rodney also explores the use of FreeU in anime-style images and shares his preference for photorealistic images. He explains his method of using FreeU by generating an image, tweaking the settings, and then re-generating the image with a fixed seed for consistent comparison. Rodney concludes by encouraging viewers to experiment with FreeU to discover its potential effects on their images, acknowledging that he is still in the process of forming his own opinion on its overall effectiveness.




FreeU is a term introduced in the video that refers to a tool or technique used to enhance image quality without the need for additional training data. It is associated with the Diffusion U-Net model, which is a type of deep learning architecture used in image processing. In the context of the video, FreeU is used to modify and improve the visual output of images generated through a software called Fooocus. The effectiveness of FreeU varies depending on the image and personal preferences, as it can alter the core structure and finer details of the image.


Fooocus is the software platform discussed in the video where the FreeU settings are applied. It is implied that Fooocus is a tool or application used for generating images, and it includes a hidden set of advanced features for users to experiment with, including the FreeU settings. The video's host, Rodney, explores these settings and their impact on image quality within the Fooocus platform.

πŸ’‘Image Quality

Image quality refers to the visual clarity, detail, and overall aesthetic appeal of a digital image. In the context of the video, improving image quality is the primary goal of using FreeU within Fooocus. The video discusses how different settings can enhance or alter the image's core structure and finer details, aiming to achieve a more desirable or realistic visual output.

πŸ’‘Debug Settings

Debug settings are options within a software application that are typically used by developers to diagnose and fix issues, optimize performance, or explore the application's functionality beyond its standard use. In the video, the debug settings in Fooocus contain the hidden FreeU options that users can experiment with to potentially improve the image quality of their outputs.


In the context of the video, the backbone refers to the core structure or the main framework of an image, which is one of the elements that the B value in FreeU settings is designed to modify. Adjusting the B value affects the central and most significant parts of the image, focusing on its overall composition and layout.

πŸ’‘Skip Connections

Skip connections are a concept in neural network architecture, particularly in deep learning models like U-Nets, where layers from earlier in the network are connected to layers later in the network. This design helps the network learn and preserve finer details in the image. In the video, the S value in FreeU settings is associated with skip connections, emphasizing the finer details and textures of the image.


GitHub is a web-based platform that provides version control and collaboration features for software developers. It is used for hosting and sharing code, including various projects and tools related to artificial intelligence and image processing. In the video, the host mentions finding recommended FreeU settings on GitHub, indicating that the platform is a valuable resource for developers and users seeking to optimize their image processing tools.


Photorealistic refers to images that closely resemble real-life photographs in terms of detail, lighting, and overall visual accuracy. In the context of the video, the host is evaluating the effectiveness of FreeU in creating images that look more like high-quality, real-life photographs. The video discusses the subjective nature of photorealism and how different FreeU settings can either enhance or detract from this quality.

πŸ’‘Aesthetic Preferences

Aesthetic preferences refer to an individual's personal tastes and choices regarding visual design, style, and the overall look of an image or artwork. In the video, the host emphasizes that the effectiveness and appeal of FreeU settings are largely dependent on individual aesthetic preferences, as different users may prefer different levels of detail, texture, and image styles.


Experimentation is the process of testing, trying out, and exploring different methods or variables to observe their effects and reach a desired outcome. In the video, the host engages in experimentation with the FreeU settings within Fooocus to understand their impact on image quality and to find the most effective settings for different types of images.


Adjustment refers to the act of changing or modifying settings, parameters, or values to achieve a particular effect or result. In the context of the video, adjustments are made to the FreeU settings, specifically the B and S values, to alter the image's backbone and skip connections, respectively. These adjustments are meant to improve or alter the image quality according to the user's preferences.


Rodney from Kleebz Tech discusses FreeU in Fooocus, a tool for improving image quality without extra training.

FreeU settings are located in the debug settings of Fooocus, under the Advanced tab.

The B value in FreeU affects the backbone and main structure of the image, while the S value focuses on finer details and textures.

Recommended settings for FreeU can be found online, including on GitHub, but the best settings are subjective and depend on the desired outcome.

Lowering the S value in FreeU reduces textures and details in an image, as demonstrated with the provided examples.

Increasing the B value in FreeU can add textures and details to an image, potentially to the point of over-saturation.

The effectiveness of FreeU varies depending on the image, with some benefiting from the adjustments while others do not.

FreeU can be used to tweak images that are close to the desired outcome, by adjusting the settings to increase or decrease details.

For photorealistic images, sometimes disabling FreeU or using lower settings may yield better results.

FreeU may be more effective for certain styles of images, such as anime, depending on the level of detail and texture desired.

Rodney's personal experience with FreeU is that it makes images different rather than universally better.

To use FreeU effectively, generate an image, tweak the settings based on personal preference, and re-generate the image using the same seed for consistent comparison.

There is no guarantee of perfect settings with FreeU; it requires experimentation to understand its impact on images.

Rodney plans to continue experimenting with FreeU to refine his understanding and application of the tool.

The video aims to provide insights on using FreeU to potentially enhance image quality, encouraging viewers to explore its capabilities.