FREE Stable Diffusion 2.1 Is The Biggest Disappointment Yet?

Aitrepreneur
9 Dec 202221:57

TLDRThe speaker, Overlord, discusses the release of Stable Diffusion 2.1, expressing mixed feelings about the update. They compare the new version to previous iterations, highlighting minor improvements and the ability to generate wider images. However, they find that 2.1 does not significantly outperform version 1.5, especially in creating realistic textures and celebrity likenesses. The speaker also addresses the community's expectations and the company's communication issues, while appreciating the free access to the technology and looking forward to future enhancements.

Takeaways

  • 🎥 The speaker, Overlord, discusses the release of Stable Diffusion 2.1 and expresses mixed feelings about it.
  • 💭 Overlord was initially hesitant about creating content on the 2.1 release due to similarities with version 2.0.
  • 📌 A simplified video format is chosen to discuss the 2.1 release, its community impact, and future prospects.
  • 🔄 Detailed instructions are provided on how to install Stable Diffusion 2.1, including downloading specific models and YAML files.
  • 🚀 The 2.1 version offers the ability to generate wider images, a feature not available in previous versions.
  • 🖼️ Comparisons between versions 1.5, 2.0, and 2.1 reveal that while 2.1 has minor improvements, the differences are not significant.
  • 🤖 The speaker maintains that version 1.5 is superior for image quality and variety, especially in terms of detail and realism.
  • 👐 The 2.1 version shows slight improvements in generating better-shaped hands, but the differences are minimal.
  • 🎨 Art styles are reintroduced in 2.1, but the speaker questions their value, comparing the results with 1.5 and finding the latter superior.
  • 💬 The community's reaction to the new releases is mixed, with some feeling betrayed by the changes in artistic direction and censorship.
  • 💬 The speaker calls for better communication from Stability AI, expressing frustration over the lack of clear explanations for their decisions.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is the discussion and review of the newly released Stable Diffusion 2.1, its features, differences from previous versions, and the creator's personal opinions on its performance and improvements.

  • What are the two different models available for Stable Diffusion 2.1?

    -The two different models available for Stable Diffusion 2.1 are the 768 model and the 512 model.

  • What is the recommended model to download according to the video creator?

    -The video creator recommends downloading the 768 model as it provides the best results based on their testing.

  • How can one install Stable Diffusion 2.1 on their computer?

    -To install Stable Diffusion 2.1, one needs to download the non-EMA pruned .kpt files for both the 768 and 512 models, as well as the corresponding yaml files. These files are then placed in the Stable Diffusion web UI folder and the user.bat file is modified to include the necessary arguments for running the model.

  • What are the key differences between Stable Diffusion 2.1 and 2.0 versions?

    -The key differences between Stable Diffusion 2.1 and 2.0 include the ability to generate super wide images, a slight decrease in the aggressiveness of filters to allow for features like art styles and celebrity images, and minor improvements in the quality of generated images.

  • How does the video creator feel about the improvements in Stable Diffusion 2.1 compared to 2.0?

    -The video creator feels that the improvements in Stable Diffusion 2.1 are minor and not significant enough to warrant an upgrade from 2.0, stating that the differences are more about varied image outputs rather than substantial quality enhancements.

  • What is the creator's opinion on the quality of images generated by Stable Diffusion 1.5 compared to 2.0 and 2.1?

    -The creator believes that Stable Diffusion 1.5 generates more realistic and higher quality images than both 2.0 and 2.1 versions, especially in terms of detail and texture representation.

  • What issue does the video creator raise about the community's expectations for Stable Diffusion?

    -The video creator raises the issue that the community may have overly high expectations and a sense of entitlement for the free access to the technology, and that there is a split within the community regarding the 2.0 release, with some feeling betrayed by the changes in artistic capabilities and censorship.

  • How does the video creator describe the communication style of Stability AI?

    -The video creator describes the communication style of Stability AI as secretive and unclear, noting that the company could improve by providing more transparent explanations and addressing community concerns directly.

  • What is the creator's stance on the future of Stable Diffusion?

    -The creator is optimistic about the future of Stable Diffusion, especially with the potential release of DreamBooth 2.0, but acknowledges that as of now, it lags behind other AI models like Mid-Journey in terms of ease of use and quality of generated images.

  • What alternative does the video creator suggest for those interested in higher quality images?

    -The video creator suggests considering paid subscription services like Mid-Journey for higher quality images, as it currently offers better ease of use and more impressive results out of the box compared to Stable Diffusion.

  • How can viewers participate in the creator's community and challenges?

    -Viewers can participate in the creator's community and challenges by joining the Discord server provided in the video description and taking part in the weekly AR challenges.

Outlines

00:00

📌 Introduction and Overview of Stable Diffusion 2.1

The speaker begins by introducing themselves and expressing their mixed feelings about the recent release of Stable Diffusion 2.1. They debate whether to make a video about it due to the lack of significant changes from version 2.0. The speaker decides to create a simpler video to discuss the new release, its impact on the community, and the future of Stable Diffusion. They also mention their intention to cover the installation process of version 2.1 and the differences between the versions.

05:00

🔍 Comparison of Stable Diffusion Versions and Installation Guide

The speaker compares Stable Diffusion 2.1 to its predecessors, emphasizing that 2.1 is a minor improvement over 2.0. They discuss the changes made in 2.1, such as the ability to generate wider images and the return of certain features from version 1.5. The speaker provides a detailed guide on how to install version 2.1, including downloading the necessary files and modifying the web UI user.bat file. They also share their personal preference for the 768 model over the 512 and the importance of using the correct YAML files.

10:01

🎨 Evaluation of Image Quality and Art Styles in Stable Diffusion 2.1

The speaker critically evaluates the image quality produced by Stable Diffusion 2.1, comparing it to versions 1.5 and 2.0. They express a preference for the 1.5 version, citing its superior detail and realism in sculptures. The speaker also discusses the improvements in hand rendering in 2.1 but notes that the differences are minimal. They further explore the addition of art styles in 2.1, demonstrating that while it allows for more stylistic options, the results are not significantly better than those produced by the 1.5 version.

15:02

💭 Reflections on Community Reactions and Expectations

The speaker reflects on the community's reactions to the new releases, noting a split between those who appreciate the realism of 2.0 and those who feel betrayed by the changes. They express disappointment in the lack of communication from Stability AI and the company's decision to censor future models. The speaker also acknowledges the generosity of the technology provided for free and the community's entitlement.

20:03

🚀 Looking Forward to Future Developments and Improvements

The speaker concludes by expressing hope for future improvements in Stable Diffusion, particularly the upcoming dreambooth 2.0. They acknowledge that while 2.1 is far behind other AI models like Mid-Journey, continuous minor improvements could lead to significant advancements. The speaker encourages patience and anticipation for the potential of Stable Diffusion and reminds viewers of the option to try the 2.1 version themselves.

Mindmap

Keywords

💡Stable Diffusion

Stable Diffusion is an AI model used for generating images from text descriptions. In the context of the video, the speaker discusses different versions of this technology, specifically version 1.5, 2.0, and 2.1. The speaker compares these versions in terms of their capabilities, ease of use, and the quality of the images they produce.

💡Version 2.1

Version 2.1 is the latest release of the Stable Diffusion AI model at the time of the video. It is described as a minor improvement over version 2.0, with some features from version 1.5 reintroduced, such as art styles and the ability to generate wider images. However, the speaker expresses disappointment as the improvements are not substantial.

💡Installation

Installation refers to the process of downloading and setting up the Stable Diffusion AI model on one's own computer. The video provides instructions on how to install version 2.1, including downloading specific files and configuring a .bat file to run the model with float precision.

💡Art Styles

Art styles refer to the different visual aesthetics that can be applied to the images generated by the Stable Diffusion model. The speaker discusses the reintroduction of art styles in version 2.1, which allows for more varied and stylistically diverse outputs.

💡Celestial Beings

Celestial beings are not explicitly mentioned in the video script, but the term could relate to the concept of generating images of mythical or supernatural entities using the Stable Diffusion model. This would be an example of the creative potential of the AI in producing fantastical content.

💡Quality of Generated Images

The quality of generated images refers to the visual fidelity, detail, and realism of the pictures produced by the Stable Diffusion AI. The speaker evaluates the quality across different versions of the model, comparing their ability to create realistic and stylized images.

💡Negative Prompts

Negative prompts are terms or descriptions that are explicitly excluded from the text description provided to the Stable Diffusion model to guide the type of image generated. They are used to refine the output and avoid unwanted elements.

💡Mid-Journey

Mid-Journey is another AI model for generating images from text, mentioned in the video as a comparison to Stable Diffusion. The speaker discusses the superiority of Mid-Journey in terms of ease of use and the quality of the images produced.

💡Community

The community in this context refers to the group of users and enthusiasts of the Stable Diffusion AI model. The speaker discusses the community's reaction to different versions of the model and the sense of entitlement among some users who expect continuous improvements.

💡Censorship

Censorship in the context of the video refers to the changes made to the Stable Diffusion model that resulted in the removal or alteration of certain features or capabilities, often in response to external pressures or demands.

💡Communication

Communication in this context refers to the way Stability AI, the company behind Stable Diffusion, communicates with its user community. The speaker criticizes the company for its lack of clear and open communication regarding the changes and improvements made to the model.

Highlights

The release of Stable Diffusion 2.1 and its comparison to previous versions.

The decision to create a simpler video discussing the 2.1 release and its features.

Recommendation to download the 768 model for better results.

The potential risk of downloading models with pickle Imports, but trust in Stability AI's release.

Instructions on how to install Stable Diffusion 2.1 on one's computer.

The minor improvements in the 2.1 version and its comparison to the 2.0 version.

The ability to generate super wide images with the 2.1 version.

The necessity of a powerful GPU to generate super wide images.

Comparison of the 1.5, 2.0, and 2.1 versions in creating images of sculptures.

Observation that the 2.1 version produces better-shaped hands.

The limited differences between the 2.0 and 2.1 versions.

The community's split reaction to the 2.0 release and its impact.

The comparison of Stable Diffusion with other AI models like Mid-Journey.

The ease of use and quality of generated images in Mid-Journey compared to Stable Diffusion.

The transition from using Stable Diffusion to Mid-Journey for thumbnail creation.

Criticism of Stability AI's communication with the community.

The potential future improvements of Stable Diffusion with the release of DreamBooth 2.0.

The community's ability to fine-tune the 2.0 model with DreamBooth 2.0.

The encouragement for users to try Stable Diffusion 2.1 on their own computers.