RIP MIDJOURNEY! SD3 Medium IS THE FUTURE OF AI MODELS!
TLDRIn this video, SK overlo introduces Stability AI's Stable Diffusion 3, a text-to-image AI model, discussing its strengths like following detailed prompts and generating high-quality images, especially landscapes and portraits. However, he also addresses its shortcomings, such as issues with human anatomy in non-upright positions and its strict censorship. Despite these, SK is optimistic about the model's potential, especially with future fine-tuning capabilities. He also touches on the model's non-commercial license, which could be a concern for some creators.
Takeaways
- 😀 Stable Diffusion 3 is the latest text-to-image AI model from Stability AI, offering significant improvements over its predecessors.
- 🔍 The model excels at following detailed prompts and is particularly good at generating landscapes, realistic portraits, and 3D renders.
- 👎 However, it has issues with generating human anatomy in dynamic poses or non-upright positions, leading to distorted and unrealistic images.
- 🤔 The community's mixed reactions suggest that the training data may have lacked diversity, particularly in images of people in various poses.
- 🚫 Stable Diffusion 3 is notably censored, with limitations on generating explicit or adult content, which may be a concern for some users.
- 💰 For the first time, the base Stable Diffusion model is under a non-commercial use license, requiring a fee for commercial use, although the fee is relatively low.
- 💡 Despite its flaws, the potential for future fine-tuned versions of the model is immense, with the community expected to create high-quality adaptations.
- 🔑 The model's ability to understand long and detailed prompts could lead to the development of advanced fine-tuned models that surpass current standards.
- 📈 The history of AI model development shows that initial versions are often met with criticism, but the community's efforts can significantly enhance them over time.
- 👨🏫 The video creator suggests that patience and waiting for fine-tuning tools will allow the community to shape the model into something even more impressive.
- 📝 The video also invites viewers to try the model themselves and share their thoughts, emphasizing the importance of personal experience and community feedback.
Q & A
What is the main topic of the video?
-The main topic of the video is the release and discussion of Stable Diffusion 3, a text-to-image AI model by Stability AI.
What is the presenter's overall opinion on Stable Diffusion 3 Medium model?
-The presenter believes that despite some issues, Stable Diffusion 3 Medium is the best stable diffusion-based model released by Stability AI so far.
What are some of the strengths of the Stable Diffusion 3 Medium model according to the video?
-The model excels at following prompts, even long and complex ones, and has an impressive aesthetic quality, making it ideal for generating landscapes, realistic portraits, and 3D renders.
What issues does the video highlight with the Stable Diffusion 3 Medium model?
-The model struggles with generating accurate human anatomy in dynamic poses or positions other than upright, and it is heavily censored, not allowing the generation of explicit content.
What is the licensing situation for the Stable Diffusion 3 Medium model?
-For the first time, the base Stable Diffusion model is under a non-commercial use license. It requires a paid license for commercial use, with a small fee for revenues under $1 million annually.
How does the video suggest the community can improve the model?
-The video suggests that the community should wait for and utilize fine-tuning tools to enhance the model's capabilities and address its shortcomings.
What is the presenter's view on the complaints about the model's anatomy generation?
-The presenter acknowledges the complaints and suggests that the model might have been trained with a limited dataset of human images, particularly lacking in varied positions.
Why does the video mention a 'special conf UI workflow'?
-The special conf UI workflow is a trick mentioned in the video to generate images of people in positions other than upright by first generating an image of a person against a wall and then transforming the wall into grass.
What is the presenter's stance on the model's censorship?
-The presenter personally does not see the censorship as an issue since they do not generate explicit work, but acknowledges that it could be a concern for others.
How does the video address the future of text-to-image generation?
-The video suggests that the future of text-to-image generation lies in the potential of the community to create fine-tuned models that surpass the capabilities of the base Stable Diffusion 3 Medium model.
Outlines
🤖 Stable Diffusion 3: Impressions and Issues
The speaker introduces Stable Diffusion 3, a text-to-image AI model by Stability AI, and shares their experience with it. They express excitement but also acknowledge the controversy surrounding the model's anatomy generation issues. The speaker defends the model's strengths, such as its ability to follow prompts and its aesthetic quality, suitable for landscapes, portraits, and 3D renders. However, they also discuss the model's shortcomings, particularly its inability to accurately render human anatomy in non-upright positions, which has led to community disappointment.
🔍 Deep Dive into Stable Diffusion 3's Limitations and Censorship
This paragraph delves into the specific issues with Stable Diffusion 3, including its challenges with generating human anatomy in dynamic poses and its high level of censorship, which prevents the generation of explicit content. The speaker speculates that the model's training data may have been limited, leading to its inability to render certain poses accurately. They also address the model's licensing, which is non-commercial, requiring a small fee for commercial use, and discuss the implications of this for the community and Stability AI's financial situation.
🚀 The Future of Text-to-Image Generation and Community Contributions
The speaker concludes by reflecting on the potential future improvements to Stable Diffusion 3 through community fine-tuning and the possibility of advanced models. They encourage the audience to test the model and share their thoughts, suggesting that despite its flaws, the community's involvement can lead to significant enhancements. The speaker also hints at creating tutorial content for those interested in using Stable Diffusion 3 and thanks their supporters for their contributions.
Mindmap
Keywords
💡Stable Diffusion 3
💡Text-to-Image AI Model
💡Prompt
💡Aesthetic
💡Human Anatomy
💡Fine-tuning
💡Non-commercial Use License
💡Community
💡Censorship
💡Quality of Generation
Highlights
Stable Diffusion 3 Medium is released by Stability AI as a highly anticipated text-to-image AI model.
The video discusses the drama and community reactions to the new model's release.
SK overlo shares personal observations after trying the model extensively.
Stable Diffusion 3 Medium is praised for following prompts accurately, even if they are long and complex.
The model excels in generating landscapes, realistic portraits, and 3D renders with an impressive aesthetic.
The potential for future fine-tuning of the model is highlighted due to its strong base capabilities.
Comparisons to the base Stable Diffusion Excel model show a significant difference in quality.
The model has issues generating human anatomy in dynamic poses or non-upright positions.
Community disappointment stems from the model's inability to render certain human poses accurately.
A special workflow in ControlNet UI can generate better results for human poses, but it's not automatic.
Stable Diffusion 3 is the most censored model released, with limitations on generating explicit content.
The model operates under a non-commercial license, requiring a fee for commercial use.
The licensing fee is considered affordable for businesses, supporting Stability AI's financial situation.
The community's role in improving models through fine-tuning is emphasized.
SK overlo encourages viewers to try the model and share their thoughts in the comments.
The video concludes with a call to action for feedback and potential tutorial videos on using Stable Diffusion 3.
