The Open Source KING is BACK. Stability's NEW AI Image Generator!
TLDRStability AI has released a new AI image generation model called Stable Cascade, which offers impressive results with faster inference times and cheaper training compared to previous models. Built on the Worin architecture, it achieves a higher compression factor, allowing for smaller latent spaces and more efficient image generation. The model is open-source, with the code available on GitHub, and it supports various extensions like fine-tuning and control nets. Despite its non-commercial license currently, the CEO of Stability AI has indicated that it will eventually be released under a commercial license. The model's potential for customization and its competitive quality make it an exciting development for the AI community.
Takeaways
- 🚀 Stability AI has released a new AI image generation model called Stable Cascade.
- 🌟 Stable Cascade produces high-quality, realistic images with well-displayed and correctly spelled text.
- 🔍 The new model is based on a different architecture called the Worin architecture, which uses a smaller latent space for faster inference and cheaper training.
- 📊 Stable Cascade achieves a compression factor of 42, significantly larger than the 8 of Stable Diffusion, allowing for smaller image encodings while maintaining quality.
- 💡 The model is open-source, with the codebase available on GitHub, making it accessible for further development and customization.
- 🔧 Known extensions like fine-tuning, control net, and IP adapter are possible with Stable Cascade, with some already provided in the training and inference sections.
- 📈 Benchmarks show that Stable Cascade has better prompt alignment and aesthetic quality compared to previous versions like Stable Diffusion XL and Playground V2.
- ⏱️ Despite being larger in parameters, Stable Cascade offers faster inference times, with a 22-second generation time at 50 steps, and around 10 seconds with the model.
- 🎨 The model supports various functionalities like image variation, image-to-image generation, and control net notebook for inpainting and outpainting.
- 📝 The CEO of Stability AI, Emad, has clarified that while the initial release is under a non-commercial license, the model will eventually be released under a commercial use license.
Q & A
What is the name of the new AI image generation model released by Stability AI?
-The new AI image generation model released by Stability AI is called Stable Cascade.
How does Stable Cascade differ from previous models like Stable Diffusion and Stable Diffusion XL?
-Stable Cascade is built on a different architecture called the Worin architecture, which allows for a much smaller latent space, resulting in faster inference times and cheaper training while maintaining high-quality image generation.
What is the compression factor of Stable Cascade compared to Stable Diffusion?
-Stable Diffusion has a compression factor of 8, while Stable Cascade achieves a compression factor of 42, meaning it can encode a 1024x1024 image into a 24x24 representation while maintaining crisp reconstructions.
Is Stable Cascade open source?
-Yes, Stable Cascade is open source, but there is a distinction between the code and the weights. The code is available under the MIT license, while the weights are currently under a non-commercial license.
What are some of the features and capabilities of Stable Cascade?
-Stable Cascade supports features like fine-tuning, control net, image variation, image-to-image generation, and super resolution. It also allows for inpainting and outpainting functionality.
How does Stable Cascade perform in terms of prompt alignment and aesthetic quality compared to other models?
-Stable Cascade has better prompt alignment than Stable Diffusion XL and SDXL Turbo. In terms of aesthetic quality, it is competitive with other models like Playground V2, though subjective preferences may vary.
What is the significance of Stable Cascade being open source?
-Being open source means that the community can access, modify, and build upon the technology, which can lead to rapid innovation and democratization of AI technology.
How can users access and experiment with Stable Cascade?
-Users can access Stable Cascade through unofficial Hugging Face demos, and it can also be run locally using a one-click launcher called Pinocchio.
What are some of the challenges or limitations of using Stable Cascade?
-While the model is powerful, it may require fine-tuning and adjusting settings to achieve optimal results. Additionally, the weights are currently non-commercial, though the CEO of Stability AI has indicated that a commercial license may be released in the future.
How does the release of Stable Cascade impact the AI art generation market?
-The release of Stable Cascade, being free and open source, has the potential to significantly influence the AI art generation market by allowing more people to access and contribute to the development of AI image generation technology.
Outlines
🌟 Introduction to Stable Cascade
The video begins with excitement over Stability AI's new AI image generation model, Stable Cascade. It's described as a significant upgrade from previous models like Stable Diffusion and Stable Diffusion XL, with improved text generation and open-source availability. The model is built on a different architecture, the Worin architecture, which allows for faster inference and cheaper training due to a smaller latent space. The video highlights the impressive results and the potential for democratizing AI technology.
🚀 Open Source and Model Overview
The speaker discusses the open-source nature of Stable Cascade, emphasizing the importance of open-source AI for democratization. Despite some confusion regarding the licensing, the CEO of Stability AI clarifies that the model is initially non-commercial but will eventually be released under a commercial license. The video also touches on the model's architecture and its capabilities, such as fine-tuning and image variation, and mentions the availability of a control net notebook for inpainting and outpainting.
🎨 Experimenting with Stable Cascade
The speaker shares their experience with Stable Cascade, demonstrating its capabilities through various prompts and comparing it to other models like Dolly 3 and Mid Journey. They explore different features such as image reconstruction, control net functionality, and face identity. The video showcases the model's ability to generate detailed and realistic images, although it notes that some fine-tuning may be required to achieve optimal results.
🏆 Comparing Stable Cascade with Other Models
The video concludes with a comparison of Stable Cascade against Dolly 3 and Mid Journey, using complex prompts to test the models' capabilities. While Stable Cascade may not surpass Dolly 3 in all aspects, its open-source nature and free availability make it a significant contender in the AI art generation market. The speaker expresses excitement over the potential for the community to build upon and improve the model, anticipating future developments and encouraging viewers to subscribe for updates.
Mindmap
Keywords
💡Stability AI
💡AI Image Generation
💡Stable Cascade
💡Open Source
💡Latent Space
💡Inference
💡Prompt Alignment
💡Aesthetic Quality
💡Fine-Tuning
💡Control Net
💡Canny
Highlights
Stability AI has released a new AI image generation model called Stable Cascade.
Stable Cascade is different from typical Stable Diffusion and Stable Diffusion XL models.
The new model produces very realistic and detailed images with properly spelled and displayed text.
Stable Cascade is open source, allowing for community involvement and development.
The Worin architecture used in Stable Cascade allows for a smaller latent space, leading to faster inference and cheaper training.
Stable Cascade achieves a compression factor of 42, significantly larger than Stable Diffusion's factor of 8.
The model is more democratized, making powerful AI technology accessible to a wider audience.
Stable Cascade supports known extensions like fine-tuning, control net, and IP adapter LCM.
The model has shown better prompt alignment than previous versions like Stable Diffusion XL and SDXL Turbo.
Stable Cascade has a larger model with 1.4 billion parameters but still features faster inference times.
The model is competitive with other AI models like Midjourney and Dolly 3, despite being free and open source.
Stable Cascade allows for various uses, including image generation, variation, and reconstruction.
The model includes features like inpainting, outpainting, and face identity integration.
Stable Cascade's weights are currently non-commercial, but the CEO of Stability AI has indicated they will eventually be released under a commercial license.
The model can be run locally using Pinocchio with a one-click launcher.
The community is already working with Stable Cascade to create custom applications and improvements.
Stable Cascade's open-source nature is expected to significantly impact the AI art generation market.
The model's ability to be run privately and uncensored is a major advantage over other models.
The release of Stable Cascade is seen as a positive step towards the democratization of AI technology.
