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

Kleebz Tech AI
2 Apr 202408:44

TLDRRodney from Kleebz Tech compares Juggernaut Version 8 and Version 9 checkpoints, addressing the common question of which one is better. He explains that a higher version number does not necessarily mean better results, as different checkpoints may yield varying outcomes with the same prompts. Version 9 was trained with the Run Diffusion photo model, potentially making it better with photographic images. Rodney runs several prompts through both versions and observes that while some images from Version 9 appear more detailed, others from Version 8 seem preferable. He notes that when using Fooocus V2, the difference between the two versions lessens. Rodney concludes that Version 9 generally provides better results with simple prompts, but for more detailed prompts, the difference is less noticeable. He suggests that users may want to use both checkpoints depending on the task. The video also mentions an upcoming reboot of the Juggernaut model and a stable Cascade version.

Takeaways

  • 🔢 Higher version numbers don't always mean better performance; it depends on the specific use case and familiarity with the version.
  • 📈 Version 9 was trained with the Run Diffusion photo model and might perform better with photographic images.
  • 🌟 Rodney ran various prompts through both versions to compare their performance in different scenarios.
  • 📂 To download checkpoints, visit the Civit AI website and pay attention to the version numbers.
  • 📁 After downloading a checkpoint, place it in the Fooocus checkpoint folder and refresh the files if Fooocus is running.
  • ☕ Special thanks to Dave for his support and contributions to the video.
  • 🖼️ Images from Version 8 and Version 9 were compared side by side, with some showing differences and others being very similar.
  • 🎨 Fooocus V2 can enhance the results of both versions, making them look almost as good as each other.
  • 🌄 In some cases, Version 9 produced images with more detail and better handling of certain prompts.
  • 🎭 For artistic styles like watercolor or movie posters, the preference between versions can be subjective and vary based on the specific prompt.
  • 🔄 Both versions have their strengths, and there's no definitive winner; it's about choosing the one that works best for a particular task.
  • 🚀 An upcoming complete reboot of Juggernaut is expected to improve the checkpoint system and user experience.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is a comparison between Juggernaut Version 8 and Version 9 checkpoints in Stable Diffusion.

  • Why does Rodney from Kleebz Tech compare the two versions?

    -Rodney compares the two versions to answer questions about which one is better and to understand the differences between them.

  • What does Rodney mention about the relationship between version numbers and performance?

    -Rodney mentions that a higher version number does not always mean better performance, as the checkpoints can work differently and may yield different results.

  • How was Version 9 of Juggernaut trained?

    -Version 9 was trained using the Run Diffusion photo model and is considered to have the biggest change.

  • What does Rodney do to compare the two versions?

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

  • Where does Rodney usually get the checkpoints?

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

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

    -Rodney notices that images generated from the same seed with both versions can look very similar, indicating they are trained similarly.

  • How does Rodney feel about the results of Version 8 and Version 9 with Fooocus V2 enabled?

    -With Fooocus V2 enabled, Rodney feels that Juggernaut XL8 looks almost as good as Version 9.

  • What is Rodney's overall conclusion about the two versions?

    -Rodney concludes that Version 9 generally provides better results with simple prompts, but the difference is less noticeable with more detailed prompts. He suggests using both checkpoints if one does better for certain tasks.

  • What does the future hold for the Juggernaut model?

    -The future version of Juggernaut is expected to be a complete reboot with relabeling and improvements, but it will likely come after the stable Cascade version is released.

Outlines

00:00

🤔 Comparing Juggernaut Version 8 and 9 Checkpoints

Rodney from Kleebz Tech discusses the differences between Juggernaut Version 8 and Version 9 checkpoints. He clarifies that a higher version number does not always equate to better performance. Rodney explains that Version 9 was trained with the Run Diffusion photo model, potentially making it better suited for photographic images. He shares his experience running various prompts through both versions to compare their results. Rodney also provides instructions on how to download and use checkpoints from the Civit AI website. He emphasizes the importance of checking version numbers and provides a step-by-step guide for integrating the downloaded checkpoints into the Fooocus software. Rodney acknowledges the contributions of Dave, who provided valuable information and ideas. The video includes a side-by-side comparison of images generated by both versions, with observations on their quality and differences. Rodney concludes that while Version 9 generally performs better with simple prompts, the choice between versions may depend on the specific use case and personal preference.

05:02

🖼️ Artistic Comparison and Personal Preferences

In the second paragraph, Rodney continues his comparison of Juggernaut Version 8 and 9, focusing on the quality and artistic outcomes of various image prompts. He shares his subjective opinions on which version produced better results for different types of images, such as a mystical forest scene, alligator emerging from water, movie posters, Norman Rockwell-style paintings, wizards, and a still life of assorted fruits. Rodney notes that the differences between the versions are not always significant, and sometimes it comes down to personal preference. He also mentions that for certain image types, like the DND map and cat mafia boss, it's challenging to declare a clear winner. Rodney concludes by stating that Version 9 tends to give better results with simple prompts, but for more detailed prompts, the difference is less noticeable. He suggests that there's no reason not to use both checkpoints if they each excel in different areas. Rodney also hints at an upcoming complete reboot of the Juggernaut model and encourages viewers to like the video and share feedback for more comparison videos and exploration of new models and features.

Mindmap

Keywords

💡Juggernaut Version 8 and Version 9

Juggernaut Version 8 and Version 9 refer to two different checkpoints or versions of the Juggernaut AI model used for image generation. The video discusses the comparison between these two versions, highlighting that a higher version number does not necessarily equate to better performance. The comparison is made based on the results they produce with various prompts.

💡Checkpoints

In the context of AI models, checkpoints are specific versions or 'snapshots' of the model's training progress. They can be used to generate images or perform tasks without starting the training process from scratch. In the video, the creator compares the performance of two different checkpoints of the Juggernaut model.

💡Run Diffusion photo model

The Run Diffusion photo model is mentioned as the training basis for Version 9 of the Juggernaut model. It suggests that Version 9 may perform better with photographic images due to its training on this specific model, which is a key differentiator from Version 8.

💡Prompts

Prompts are the input text or descriptions given to an AI model to guide the generation of images. The video script discusses how the same prompts yield different results when using different versions of the Juggernaut model, which is central to the comparison being made.

💡Fooocus V2

Fooocus V2 is a software or tool mentioned in the script that is used in conjunction with the Juggernaut model to enhance image generation. The video shows a comparison of image results with and without the use of Fooocus V2, indicating its impact on the final output.

💡Civit AI website

The Civit AI website is identified as a source for obtaining the different checkpoints of the Juggernaut model. It is highlighted as a place where users can download the specific versions of the model they wish to use, which is crucial for the comparison conducted in the video.

💡Die-cut sticker example

The die-cut sticker example refers to one of the image generation tests conducted in the video using the Juggernaut model. It serves as a visual demonstration of how the model performs with specific prompts and is used to compare the quality of the outputs from Version 8 and Version 9.

💡Movie posters

Movie posters are used in the video as another example of the type of images that the Juggernaut model can generate. The comparison between the outputs of Version 8 and Version 9 for movie poster prompts illustrates the subjective nature of what might be considered 'better' in image generation.

💡Wizards

Wizards are a subject matter used for testing the Juggernaut model's image generation capabilities. The video discusses the differences in the generated images of wizards between the two versions, showcasing the variations in style and detail.

💡Still life of assorted fruits

A still life of assorted fruits is an example of a detailed prompt used in the video to test the Juggernaut model. The comparison of the generated images for this prompt highlights the differences in color and detail between Version 8 and Version 9.

💡DND map

A DND (Dungeons and Dragons) map is a specific type of image generation task featured in the video. The script discusses how both versions of the Juggernaut model perform when generating a map for printing, noting the differences in color brightness and detail.

Highlights

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 in Version 9 was the training model used.

Running different prompts through both versions with the same settings to compare results.

Civit AI website is a common source for downloading checkpoints.

Instructions on downloading and installing checkpoints into the Fooocus checkpoint folder.

Dave provided valuable information and ideas, contributing to the video.

Images from Version 8 and Version 9 are compared side by side.

Version 9 appears to have more detailed prompts in some instances.

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

For certain image types like floating islands, both versions perform similarly.

Version 9 shows a slight edge in generating photographic images with added details like mist.

In die-cut sticker examples, both versions performed well, with a slight preference for Version 8.

Version 9 demonstrated better results with simple prompts overall.

For detailed prompts, the difference between the two versions is less noticeable.

The next version of Juggernaut is expected to be a complete reboot with improved labeling.

Viewer feedback will influence the creation of more comparison videos and exploration of new models.