RIP MIDJOURNEY! SD3 Medium IS THE FUTURE OF AI MODELS!
TLDRIn this video, SK overlo introduces Stable Diffusion 3, a text-to-image AI model by Stability AI. Despite initial community skepticism due to its shortcomings in human anatomy generation and strict content censorship, the model excels in prompt following and aesthetic quality, particularly for landscapes, portraits, and 3D renders. SK discusses the model's limitations and the non-commercial license, while expressing optimism for future fine-tuned versions that could surpass current capabilities.
Takeaways
- π Stable Diffusion 3 Medium is the latest text-to-image AI model from Stability AI.
- π¨ The model excels at following detailed prompts and is particularly good at generating landscapes, realistic portraits, and 3D renders.
- π Despite its strengths, the model struggles with generating human anatomy in dynamic poses or non-upright positions.
- π€ The community's disappointment stems from the model's inability to produce accurate human anatomy in certain poses, leading to strange results.
- π‘ The creator suggests that the model's training data may have lacked variety in human poses, particularly non-upright ones.
- π« Stable Diffusion 3 is the first base model with a non-commercial use license, requiring a fee for commercial use.
- π° The commercial license is affordable, with a $20 monthly fee for annual revenues under $1 million.
- π€·ββοΈ The model's limitations with human anatomy and licensing may not be issues for some users, depending on their use case.
- π The community is encouraged to wait for and utilize fine-tuning tools to improve the model's capabilities.
- π The potential for future fine-tuned models is high, with the base model's strong aesthetic and prompt-following abilities.
- π’ The video creator is open to making a tutorial video on how to run Stable Diffusion 3 Medium if there is enough interest.
Q & A
What is the main topic of the video script?
-The main topic of the video script is the introduction and discussion of Stable Diffusion 3, a text-to-image AI model from Stability AI, including its capabilities, issues, and the future of AI models.
What does the speaker think about Stable Diffusion 3 Medium model?
-The speaker believes that despite having some issues, Stable Diffusion 3 Medium is the best stable diffusion-based model released by Stability AI, especially for its ability to follow prompts and its aesthetic quality.
What are some of the strengths of the Stable Diffusion 3 Medium model according to the speaker?
-The strengths of the Stable Diffusion 3 Medium model include its ability to follow long and detailed prompts, and its high-quality output for landscapes, realistic portraits, and 3D renders.
What issues does the speaker mention regarding the generation of human anatomy in Stable Diffusion 3 Medium?
-The speaker mentions that the model has issues generating human anatomy in dynamic poses or positions other than upright, often resulting in strange and incorrect images when trying to depict people in reclining positions.
Why does the speaker think the model struggles with certain human poses?
-The speaker speculates that the model's training dataset may have lacked images of people in various positions, particularly in non-upright positions, leading to its inability to accurately generate such poses.
What is the speaker's opinion on the censorship level of Stable Diffusion 3?
-The speaker considers Stable Diffusion 3 to be the most censored model they have ever seen, noting that it heavily restricts the generation of explicit content.
What licensing issue does the speaker discuss regarding the Stable Diffusion 3 Medium model?
-The speaker discusses that for the first time, the base Stable Diffusion model is under a non-commercial use license, meaning that to use it for commercial purposes, one must pay a license fee.
How does the speaker suggest the community can improve the model?
-The speaker suggests that the community should wait for and utilize fine-tuning tools to improve the model, as this could lead to a series of fine-tuned models with unprecedented quality.
What is the speaker's view on the complaints about the Stable Diffusion 3 Medium model?
-The speaker acknowledges that while it's valid to have complaints about a free model, they also remind us that previous models had similar issues, and the community's ability to fine-tune models has led to significant improvements in the past.
Does the speaker plan to create a tutorial video or installer for Stable Diffusion 3 Medium?
-The speaker indicates they might create a tutorial video or an installer for their Patreon supporters if there is enough interest, and also mentions the potential for a compatibility release with Automatic 111 wui in the future.
Outlines
π Introduction to Stable Diffusion 3
The speaker, SK Overlo, introduces Stable Diffusion 3, a text-to-image AI model from Stability AI. They express excitement about the release and plan to discuss the model's capabilities, the community's mixed reactions, and their personal observations. The video aims to be informative rather than a tutorial, addressing the model's strengths like its ability to follow prompts and create high-quality images, as well as its shortcomings, particularly in generating human anatomy in non-upright positions.
π Issues with Human Anatomy and Censorship
The speaker discusses the issues with Stable Diffusion 3's ability to generate human anatomy, especially in dynamic or non-upright poses, which has led to community disappointment. They speculate that the model's training data may have lacked variety in human poses, leading to the model's preference for upright positions. Additionally, they address the model's censorship, noting that it is the most censored model they've seen, with limitations on generating explicit content. Despite these issues, the speaker suggests that future fine-tuning could improve the model's capabilities.
π Non-Commercial License and Community Outlook
The speaker mentions the non-commercial license of Stable Diffusion 3, which requires a small fee for commercial use, and they argue that this is reasonable given the model's potential to generate revenue. They also discuss the community's role in improving the model through fine-tuning and express optimism about the future of text-to-image generation. The speaker encourages viewers to try the model and share their thoughts, offering to create a tutorial if there is enough interest.
Mindmap
Keywords
π‘Stable Diffusion 3
π‘Text-to-Image AI Model
π‘Aesthetic
π‘Prompt
π‘Fine-tune
π‘Human Anatomy
π‘Censorship
π‘License
π‘Community
π‘Fine-tune Models
Highlights
Stable Diffusion 3 is released by Stability AI as a highly anticipated text-to-image AI model.
The model has been under scrutiny for its ability to generate human anatomy, especially in non-upright positions.
Despite issues, Stable Diffusion 3 is praised for its ability to follow complex prompts and generate high-quality images.
The model shows exceptional performance in generating landscapes, realistic portraits, and 3D renders.
Community reactions have been mixed, with some expressing disappointment due to the model's limitations.
The video discusses a workaround for generating images of people in non-upright positions using a special workflow.
Stable Diffusion 3 is the first base model under a non-commercial use license, requiring a fee for commercial use.
The license fee is considered affordable for its potential commercial benefits.
The video suggests that the model's training data may lack diversity in human poses, leading to its limitations.
The model's censorship is highlighted as a potential issue for users interested in generating adult content.
The speaker speculates that future fine-tuned versions of the model could overcome current limitations.
The video emphasizes the importance of community involvement in improving and customizing AI models.
A call to action for the community to wait for and utilize fine-tuning tools to enhance the model's capabilities.
The potential of Stable Diffusion 3 to revolutionize text-to-image generation and surpass previous models is discussed.
The video concludes by encouraging viewers to try the model and share their thoughts in the comments.
An offer to create a tutorial video on using Stable Diffusion 3 is extended to the audience.