NEW Stable diffusion 2.1 RELEASED!
TLDRStable Fusion 2.1 has been released as an improvement over the poorly received 2.0 version. The new update focuses on better prompting styles, increased data training, and less restrictive data set filtering, addressing previous issues with image quality and variety. The update promises enhanced image generation, particularly in architecture, interiors, and landscapes, and introduces support for non-standard resolutions. Users are encouraged to explore the updated model and share their experiences.
Takeaways
- 🚀 Stable Fusion 2.1 has been released as an improvement over the poorly received 2.0 version.
- 🤖 The 2.0 models were not functioning as expected, leading to user dissatisfaction with the results.
- 🌟 Users found ways to improve results with negative prompts after the 2.0 release.
- 📈 Stable Fusion 2.1 promises better performance and has been optimized based on user feedback.
- 🎨 The new version 2.1 supports a new prompting style and brings back many prompts.
- 🔍 There's more data and less restrictive filtering in the 2.1 model, addressing previous concerns.
- 🏙️ Improvements in image quality are noted for architecture, interior design, wildlife, and landscape scenes.
- 👤 The issues with generating images of people have been addressed for better results.
- 🖼️ The model now better handles a range of art styles and improved anatomy and hands.
- 📏 Non-standard resolutions are supported for more creative flexibility in image generation.
- 💻 The release is open-source and available on Hugging Face for those interested in using or testing it.
Q & A
What is the main issue addressed in the release of Stable Fusion 2.1?
-The main issue addressed in Stable Fusion 2.1 is the improvement over the previous version, 2.0, which had a problematic release due to changes in the model's functioning that led to mostly poor results for users.
How did users respond to the release of Stable Fusion 2.0?
-Users responded negatively to the release of Stable Fusion 2.0 because it resulted in terrible outcomes, primarily due to the significant changes in how the model worked and the restrictive filtering of the data set.
What was the primary complaint about the data set in Stable Fusion 2.0?
-The primary complaint was the restrictive filtering of the data set, which led to the removal of many images and made it harder for users to generate desired results, particularly when it came to generating images of people.
What improvements have been made in Stable Fusion 2.1 regarding the data set?
-Stable Fusion 2.1 has improved by having more data, more training, and less restrictive filtering of the data set. The new model aims to capture the best of both worlds, rendering beautiful architectural concepts, natural scenery, and producing fantastic images of people and pop culture.
How does Stable Fusion 2.1 address the issue of generating images of people?
-Stable Fusion 2.1 addresses this issue by fine-tuning the model with an updated setting, which delivers improved anatomy, hands, and a better range of incredible art styles compared to version 2.0.
What new features are supported in Stable Fusion 2.1?
-Stable Fusion 2.1 supports a new prompting style, brings back many prompts, and allows for non-standard resolutions that help create extreme aspect ratios and epic widescreen imaging.
How does Stable Fusion 2.1 handle adult content in the data set?
-Stable Fusion 2.1 still filters out adult content but in a less aggressive manner, which reduces the number of false positives detected, allowing for a more diverse range of outputs.
What is the role of negative prompts in Stable Fusion 2.1?
-Negative prompts continue to play a role in Stable Fusion 2.1 by helping to reinforce the visual fidelity and style of the generated images. However, the need for negative prompts has been reduced compared to version 2.0.
How can users access and use Stable Fusion 2.1?
-Stable Fusion 2.1 is available as an open-source release on Hugging Face, and users can find the weights and checkpoints there. Additionally, users can utilize Dream Studio, a platform provided by Stability AI, to access and use the model.
What are some of the sample prompts showcased in the script for Stable Fusion 2.1?
-Some of the sample prompts include 'a beautiful blonde woman fine art photography' and 'valley in the outfit sunset epic vista beautiful landscape 4K 8K'. These prompts demonstrate the model's capability to generate high-quality images with diverse styles and resolutions.
What is the advice given to users who are still using earlier versions of Stable Fusion?
-Users who are still using earlier versions like 1.4 or 1.5 are encouraged to try out Stable Fusion 2.1 and share their experiences and results in the comments section of the related content.
Outlines
🚀 Introduction to Stable Fusion 2.1
This paragraph introduces the release of Stable Fusion 2.1, reflecting on the previous version 2.0 which was considered a fiasco due to the significant changes in the model's functionality that led to unsatisfactory results for most users. The new version 2.1 is presented as an improvement, with the developers learning from their mistakes and promising better performance. It is mentioned that the updated version supports a new prompting style, brings back various prompts, and includes more data and less restrictive filtering of the data set. The paragraph also discusses the improvements in image quality for architecture, interior design, wildlife, and landscape scenes, while addressing the previous issues with generating images of people.
🎨 Enhanced Features and User Feedback in Stable Fusion 2.1
The second paragraph delves into the specific enhancements made in Stable Fusion 2.1, such as improved anatomy, better handling of art styles, and the ability to render non-standard resolutions for more creative flexibility. It highlights how the developers have listened to user feedback and adjusted the filters to be less aggressive while still excluding adult content. The paragraph also discusses the model's ability to produce high-quality images of people and pop culture, and the various tools and methods available for using negative prompts. Additionally, it mentions the open-source nature of Stable Fusion and its availability on Hugging Face, as well as the anticipation for its integration with other platforms like Automatic 1.1.1.
📢 Closing Remarks on Stable Fusion 2.1
In the final paragraph, the speaker shares a closing remark on Stable Fusion 2.1, encouraging viewers to try out the new version and share their thoughts. The speaker also mentions a personal preference for earlier versions, particularly 1.4 or 1.5, and the versatility they offer when combined with other models. The paragraph concludes with an invitation for feedback in the comments section and a sign-off for the next video.
Mindmap
Keywords
💡Stable Fusion 2.1
💡Negative Prompts
💡Data Set
💡Image Quality
💡Anatomy and Hands
💡Art Styles
💡Aspect Ratio
💡Open Source
💡Dream Studio
💡Non-Standard Resolution
Highlights
Stable Fusion 2.1 has been released as an improvement over the previous version 2.0.
The 2.0 release was considered a fiasco due to significant changes in the model's functionality and poor user results.
The new 2.1 version promises better performance and user experience, with faster releases as part of their improvement strategy.
The 2.1 update includes support for a new prompting style and brings back many prompts that were previously used.
Stable Fusion 2.1 addresses the issue of restrictive data filtering by easing up on the filters while still keeping NSFW content out.
The model now has a more diverse and wide-ranging data set, which has improved image quality in various categories.
One of the main issues with 2.0, generating poor images of people, is hoped to be resolved in the 2.1 version.
The new version is said to be better at rendering architecture, landscapes, and buildings.
Stable Fusion 2.1 allows for non-standard resolutions, opening up possibilities for creating unique images with various aspect ratios.
The model now delivers improved anatomy and hands, and is more adept at a range of art styles compared to version 2.0.
The release includes various examples, including superheroes like Superman and Wonder Woman, showcasing the model's capabilities.
Negative prompts are still used in 2.1, but the way they are implemented varies between different tools like Dream Studio, Automatic 11 11, and Invoke.
Stable Fusion 2.1 is an open-source release and available on Hugging Face for those interested in exploring it further.
Dream Studio, a platform by Stability AI, offers an easy way to use the new model without downloading weights or using other UIs.
The video encourages users to try out Stable Fusion 2.1 and share their experiences and creations in the comments.