Stable Diffusion - Juggernaut XL V8 vs V9 - Is one better?

Kleebz Tech AI
2 Apr 202408:44

TLDRRodney from Kleebz Tech compares the Juggernaut XL V8 and V9 checkpoints, addressing the common question of which version is superior. He explains that a higher version number doesn't always equate to better performance, as updates can alter how the model works with certain prompts. Version 9 was trained with the Run Diffusion photo model, potentially making it better with photographic images. Rodney runs various prompts through both versions and observes that while some images from V9 appear more detailed, others from V8 seem preferable. He notes that with Fooocus V2 enabled, V8's output is comparable to V9. Rodney concludes that for simple prompts, V9 tends to give better results overall, but for more detailed prompts, the difference is less noticeable. He suggests using both checkpoints as each may excel in different scenarios. He also mentions an upcoming complete reboot of the Juggernaut model.


  • πŸ”’ **Higher Version β‰  Better**: The higher the version number doesn't always mean better performance; it depends on the specific use case.
  • πŸ“ˆ **Different Training Models**: Version 9 was trained using the Run Diffusion photo model, which may perform better with photographic images.
  • πŸ€” **User Preference**: People tend to stick with the version they are accustomed to, as changing versions can alter the results they are used to.
  • πŸ“‚ **Downloading Checkpoints**: Checkpoints can be downloaded from the Civit AI website, and it's important to note the version numbers.
  • πŸ’‘ **Comparative Testing**: The creator ran various prompts through both versions to see if one was better at certain tasks.
  • 🎨 **Fooocus V2 Impact**: Enabling Fooocus V2 improved the results, making Juggernaut XL8 look almost as good as version 9 in some cases.
  • 🌐 **Similarity in Outputs**: Despite different versions, the images generated can be very similar, indicating shared training methodologies.
  • πŸ–ΌοΈ **Subjective Quality**: The preference for one version over the other can be subjective and may vary based on the specific image or prompt.
  • πŸ“ˆ **Version 9 with Simple Prompts**: Version 9 generally provided better results with simpler prompts according to the tests conducted.
  • πŸ”„ **Checkpoint Usage**: There's no strict rule against using both checkpoints if one proves better for certain tasks than the other.
  • πŸš€ **Upcoming Changes**: The next version of Juggernaut is expected to be a complete reboot with improved labeling and functionality.
  • πŸ“Š **Viewer Feedback**: The creator is open to making more comparison videos and exploring new models based on positive feedback.

Q & A

  • What is the main topic of discussion in the video?

    -The main topic of discussion is a comparison between the Juggernaut Version 8 and Version 9 checkpoints in the context of image generation.

  • Why does Rodney decide to compare the two versions of Juggernaut?

    -Rodney decides to compare the two versions because he has received many questions from people asking which one is better and why he uses one version over the other.

  • What is the significance of the Run Diffusion photo model in Version 9?

    -Version 9 was trained using the Run Diffusion photo model, which may make it better with photographic images, representing a significant change from previous versions.

  • How does Rodney ensure a fair comparison between the two versions?

    -Rodney runs a variety of different prompts through both versions with the same settings to compare the results and see if either one performs better at certain tasks.

  • Where does Rodney usually get his checkpoints from?

    -Rodney usually gets his checkpoints from the Civit AI website.

  • How does one download and use a specific checkpoint version in Fooocus?

    -After selecting the desired checkpoint version, one clicks on the download button, downloads the full model, and then places it into the checkpoint folder within the Fooocus directory. If Fooocus is running, a refresh is needed to see the new checkpoint in the dropdown menu.

  • What does Rodney notice about the images generated from the same seed using both versions?

    -Rodney notices that some images from the same seed are very similar, indicating that despite different training, both versions can produce comparable results.

  • How does Rodney feel about the overall performance of Version 9 with simple prompts?

    -Rodney concludes that Version 9 generally gives better results with simple prompts compared to Version 8.

  • What does Rodney suggest for users who find one version performs better for certain tasks?

    -Rodney suggests that there's no reason not to use both checkpoints if a user finds one version performs better than the other for specific tasks.

  • What does Rodney mention about the future of the Juggernaut model?

    -Rodney mentions that the next version of Juggernaut will be a complete reboot with relabeling and improved features, likely coming after the stable Cascade version.

  • How does Rodney engage with his audience for further content?

    -Rodney encourages viewers to like the video if they find it helpful, and to provide feedback for more comparison videos and testing of new models and prompts. He also asks for prompt suggestions in the comments, ensuring they are YouTube-friendly and not overly long.



πŸ€– Juggernaut Version 8 vs. Version 9 Comparison Overview

Rodney from Kleebz Tech discusses the differences between Juggernaut Version 8 and Version 9 checkpoints. He addresses common questions about which version is superior and why some users prefer one over the other. Rodney clarifies that a higher version number does not guarantee better performance, as checkpoints may yield different results. He shares his experience running various prompts through both versions to compare their outputs. Rodney also provides guidance on where to obtain the checkpoints and how to implement them in Fooocus. He acknowledges the contributions of Dave for coffee and insights. The video includes a side-by-side comparison of images generated by both versions, noting that while some outputs are similar, others show distinct differences in quality and detail, with Version 9 appearing to handle photographic images better due to its training with the Run Diffusion photo model.


🎨 Detailed Analysis of Image Results from Juggernaut Versions

In this paragraph, Rodney provides a detailed analysis of the image results generated by Juggernaut Version 8 and Version 9. He compares the outputs in terms of quality, color, and detail for various types of images, including still life, portraits, and fantasy scenes. Rodney notes that while Version 9 generally performs better with simple prompts, the difference is less noticeable with more detailed prompts. He also mentions that for certain image types, such as the Norman Rockwell painting and the wizards, the outputs are quite different, but neither version is definitively better. Rodney concludes that there's value in using both checkpoints depending on the specific requirements of the task at hand. He also teases the upcoming release of a new version of Juggernaut and a stable Cascade version. The paragraph ends with an invitation for viewers to like the video, provide feedback, and suggest prompts for future testing.



πŸ’‘Juggernaut Version 8 and Version 9

Juggernaut Version 8 and Version 9 refer to two different checkpoints or versions of an AI model used for image generation. In the video, the host compares these two versions to determine if one is superior to the other. The comparison is based on the outputs generated from the same prompts, showcasing how each version interprets and visualizes the input data.


In the context of AI and machine learning, checkpoints are specific states or versions of a model that are saved at different points during the training process. They allow for the model to be reloaded and used without starting the training from scratch. In the video, the host discusses the differences between checkpoints of Juggernaut Version 8 and Version 9.

πŸ’‘Run Diffusion photo model

The Run Diffusion photo model is a specific type of AI model that Version 9 of the Juggernaut was trained on. It is suggested to be better with photographic images, which is a key point of comparison between Version 8 and Version 9 in the video. The host notes this as a significant change that might affect the performance of the model.


Prompts are the input text or descriptions given to an AI model to generate specific outputs, in this case, images. The video script discusses how different versions of the Juggernaut model respond to the same prompts, which is crucial for understanding the variations in their performance.

πŸ’‘Fooocus V2

Fooocus V2 is a feature or an additional tool that can be used alongside the Juggernaut model to enhance the quality of the generated images. The host tests the impact of enabling Fooocus V2 on the outputs of both Version 8 and Version 9 to see how it affects the results.

πŸ’‘Civit AI website

The Civit AI website is mentioned as a source for obtaining the different checkpoints of the Juggernaut model. It is a platform where the host and potentially other users can download the AI models for use in their projects.

πŸ’‘Die-cut sticker example

The die-cut sticker example refers to one of the test cases where the host compares the outputs of Version 8 and Version 9. It serves as a practical illustration of how the models handle specific design tasks, such as creating images suitable for die-cut stickers.

πŸ’‘Movie posters

Movie posters are used as another test case in the video to evaluate how well each version of the Juggernaut model can generate images that capture the essence of a movie poster. The host discusses the effectiveness of each model in conveying the intended theme or mood.


Wizards are a subject matter used in the video to test the creative capabilities of the Juggernaut model. The host examines the differences in how Version 8 and Version 9 visualize and render images of wizards, highlighting the nuances in their outputs.

πŸ’‘DND map

DND map refers to a map for Dungeons and Dragons, a tabletop role-playing game. The host uses the task of generating a DND map to compare the cartographic and illustrative abilities of Version 8 and Version 9, noting any differences in detail and style.

πŸ’‘Cat mafia boss

The concept of a 'cat mafia boss' is a creative prompt used in the video to test the models' ability to generate whimsical and unconventional images. It demonstrates how each version of the Juggernaut model interprets and visualizes abstract and creative ideas.


Rodney from Kleebz Tech compares Juggernaut Version 8 and Version 9 checkpoints.

Higher version numbers do not always equate to better performance.

Version 9 was trained using the Run Diffusion photo model, potentially better with photographic images.

Creator of Juggernaut noted the biggest change was the use of the Run Diffusion photo model in Version 9.

Different prompts yield varying results between the two versions.

The Civit AI website is a common source for downloading checkpoints.

Instructions on downloading and implementing the chosen checkpoint into the Fooocus software.

Dave's contribution of coffee and ideas is acknowledged.

Version 8 and 9 images are compared side by side for evaluation.

Version 9 appears to have more detailed prompts and improved information rendering.

With Fooocus V2 enabled, Juggernaut XL8's performance is comparable to Version 9.

Floating islands and Hobbit Hole watercolor paintings from both versions appear very similar.

Photographic image comparison shows nuanced differences, with Version 9 having additional details like mist.

Die-cut sticker example shows both versions performed well, with minor aesthetic preferences.

In the portrait of a Stormtrooper, Version 8 is favored for its tone and handling.

Version 9 outperforms in the Danny DeVito painting, looking more like an actual painting.

Juggernaut V9 is preferred for the still life of assorted fruits due to better color and detail.

For complex prompts, there isn't a significant difference between the two versions.

Version 9 generally provides better results with simple prompts.

Upcoming versions of Juggernaut are hinted to be a complete reboot with improved labeling.

Viewer engagement is encouraged through likes and feedback for more comparison videos.