TripoSR: Stability AI Teases NEW Image-to-3d Stable Diffusion 3 Model (AI News)
TLDRStability AI teases its upcoming Stable Diffusion 3 model, which is set to excel in text-to-3D and text-to-video capabilities. The release of the research paper offers insights into its performance against other generative AI models. A quiet launch of 'TripoSR,' an image-to-3D tool developed in collaboration with Trio AI, has excited developers for its rapid, high-quality 3D model generation. The controversy around Stability AI employees using Mid Journey for training data has led to a ban, highlighting the competitive nature of the AI industry. The open-source nature of TripoSR and its potential integration into Stable Diffusion 3 sparks anticipation for the future of AI-driven content creation.
Takeaways
- ๐ง Stability AI is teasing their upcoming Stable Diffusion 3 model, which is expected to excel in text-to-3D and text-to-video generation.
- ๐ A research paper has provided concrete numbers on how Stable Diffusion 3 compares to other AI models, emphasizing its impressive capabilities.
- ๐คซ Stability AI has been secretive about the video and 3D features of Stable Diffusion 3, with hints of its quality being on par with Sora.
- ๐ก The release of 'TripoSR' in collaboration with Trio AI is a significant step towards image-to-3D modeling, enhancing the capabilities of Stable Diffusion 3.
- ๐ TripoSR is an image-to-3D model that can quickly generate high-quality 3D outputs from images or text prompts.
- ๐๏ธ Trio AI specializes in 3D and AI, and their partnership with Stability AI aims to produce high-quality 3D models rapidly and efficiently.
- ๐ฎ The open-source nature of TripoSR has already led to its use in game development and other creative applications.
- ๐ TripoSR's ability to run on low inference budgets, even without a GPU, makes it accessible for a wide range of users and applications.
- ๐ The performance of TripoSR is notable, creating detailed 3D models quickly and with less computational resources compared to other models.
- ๐ The training data and research paper for TripoSR have been open-sourced, allowing for transparency and further development by the community.
- ๐ก The integration of image-to-3D technology in Stable Diffusion 3 could lead to more realistic and immersive video experiences, moving beyond traditional 2D to 3D conversions.
Q & A
What is the main focus of Stability AI's unreleased Stable Diffusion 3 model?
-The main focus of Stability AI's Stable Diffusion 3 model is its ability to push text to 3D and text to video capabilities, which are considered to be some of the most impressive attributes of the model.
What is the significance of the research paper mentioned in the script?
-The research paper provides concrete numbers on how the Stable Diffusion 3 model stacks up against other generative AI models, highlighting its text to image, 3D, and video capabilities.
What is TRIPO-SR and what does it do?
-TRIPO-SR is a new image-to-3D model developed by Stability AI in collaboration with Trio AI. It allows for the creation of high-quality 3D models from single images in less than a second.
Why is the collaboration with Trio AI significant for Stability AI?
-The collaboration is significant because Trio AI specializes in 3D and AI, and their tool TRIPO-SR enables fast 3D object generation from single images, which aligns with Stability AI's goals for their Stable Diffusion 3 model.
How does TRIPO-SR differ from other image-to-3D models?
-TRIPO-SR is capable of generating high-quality 3D models with incredible speed and cohesion, and it can run on low inference budgets, even without a GPU, making it more accessible for a wide range of users.
What is the controversy surrounding Stability AI and Mid Journey?
-The controversy involves accusations that Stability AI employees were using Mid Journey to dump images and prompts for training Stable Diffusion 3, leading to Mid Journey banning Stability AI staff from using their service.
Why did Stability AI release TRIPO-SR quietly?
-The quiet release of TRIPO-SR is likely related to the upcoming release of Stable Diffusion 3, as it showcases a new capability that might be integrated into the model.
What is the importance of open-sourcing TRIPO-SR?
-Open-sourcing TRIPO-SR allows for commercial, personal, and research use under the MIT license, enabling developers to build upon the tool without legal implications or concerns over intellectual property.
How does TRIPO-SR enhance the capabilities of Stable Diffusion 3?
-TRIPO-SR enhances Stable Diffusion 3 by providing a fast and efficient way to convert images into 3D models, which can then be used for creating more immersive and realistic videos.
What are some of the applications of TRIPO-SR mentioned in the script?
-Some applications of TRIPO-SR include building games, creating AR/VR experiences, and developing complex 3D objects for various uses, showcasing its versatility and potential impact on the industry.
Outlines
๐ค Stable Diffusion 3's Impressive Capabilities
The script discusses the anticipation surrounding Stability AI's unreleased Stable Diffusion 3 model, which is expected to excel in text-to-3D and text-to-video generation. The research paper on the model has been released, providing concrete numbers on its performance relative to other generative AI models. Stability AI's CEO, Emad, has been open about the capabilities of the current stable video on Twitter, suggesting it's as good as Sora and that the 3D features of Stable Diffusion 3 are also promising. There's speculation about why Stability AI has been secretive about these features. The script also mentions a quiet release of a tool called Trio Sr by Stability AI in collaboration with Trio AI, which is capable of creating high-quality 3D models from images in under a second, and its potential implications for the upcoming release of Stable Diffusion 3.
๐ Trio Sr: Fast 3D Object Generation Tool
This paragraph delves into the Trio Sr tool released by Stability AI in collaboration with Trio AI, which is capable of generating high-quality 3D models from single images in less than a second. The tool is already being used to build games and apps, showcasing its practicality and the open-source nature that allows for commercial, personal, and research use under the MIT license. Trio AI's focus on 3D and AI is highlighted, along with their past projects and the significance of their latest release, Trio Sr. The paragraph also discusses the importance of image-to-3D technology for creating realistic videos, comparing it to the artifacts seen in animated Nerfs and the immersive experience provided by 3D rendering in video production.
๐ฅ Mid Journey Controversy with Stability AI
The final paragraph addresses a controversy between Stability AI and Mid Journey, where Stability AI employees were accused of using Mid Journey to train their next model, Stable Diffusion 3. This led to Mid Journey experiencing an outage and subsequently banning all Stability AI employees from their service. The script mentions that Stability AI's pursuit of data and novel training points from other companies is a common practice in the industry, hinting at the competitive nature of AI development. It also touches on the implications of open-source tools like Trio Sr for solo developers and the shift towards more accessible AI tools in the tech industry.
Mindmap
Keywords
Stable Diffusion 3
Text-to-3D
TripoSR
Trio AI
Image-to-3D
Mid Journey
AI 100s
Nerf
Immersive Experience
Open Source
Inference Budgets
Highlights
Stability AI is teasing the capabilities of their unreleased Stable Diffusion 3 model through a research paper.
The model is expected to excel in text-to-3D and text-to-video conversions.
Stability AI and a mod have been secretive about the video and 3D features of Stable Diffusion 3.
A quiet release by Stability AI, TripoSR, is a new image-to-3D model in collaboration with Trio AI.
TripoSR can create high-quality 3D outputs in less than a second.
The tool is already being used to build games and apps, showcasing its practical applications.
Trio AI focuses on 3D and AI, with Trio being one of their significant releases.
TripoSR is capable of generating 3D objects from single images, enhancing the capabilities of Stable Diffusion 3.
The integration of image-to-3D technology is crucial for creating realistic videos.
Stability AI emphasizes the speed and quality of 3D object generation from single images with TripoSR.
TripoSR operates on low inference budgets and can run without a GPU, making it accessible to a wide range of users.
The model is open-source, licensed under the MIT license, allowing for commercial, personal, and research use.
Performance tests show that TripoSR outperforms other image-to-3D models in speed and quality.
The training data and research paper for TripoSR have been made publicly available.
Vision Pro demo showcases the integration of image-to-image flows and 3D object generation in AR/VR spaces.
Open-source tools like TripoSR enable solo developers to create impressive projects rapidly.
A controversy arose between Stability AI and Mid Journey, with accusations of Stability AI employees using Mid Journey to train Stable Diffusion 3.
Mid Journey has banned Stability AI employees indefinitely in response to the alleged data procurement.
The pursuit of novel training points and data procurement is becoming a common competitive strategy in the AI industry.