TripoSR: Stability AI Teases NEW Image-to-3d Stable Diffusion 3 Model (AI News)
TLDRStability AI has teased its upcoming Stable Diffusion 3 model, which promises impressive text-to-3D and text-to-video capabilities. The release of TripoSR, a collaboration with Trio AI, marks a significant step towards high-quality, rapid image-to-3D conversion. This tool, which operates efficiently even without a GPU, has already inspired game development and AR/VR applications. Amidst controversy with Mid Journey over data scraping, Stability AI continues to push the boundaries of generative AI, with an open-source approach that accelerates innovation and accessibility.
Takeaways
- 🔍 Stability AI is teasing capabilities of their unreleased Stable Diffusion 3 model, with hints at text-to-3D and text-to-video being impressive features.
- 📄 The research paper on Stable Diffusion 3 provides concrete numbers on its performance compared to other generative AI models.
- 🤔 There's speculation about why Stability AI has been secretive about the video and 3D capabilities of Stable Diffusion 3.
- 🗣️ Stability AI's Emad has been open on Twitter about the quality of the current Stable video and the 3D capabilities of the upcoming model.
- 💡 Stability AI quietly released a tool called TripoSR in collaboration with Trio AI, focusing on image-to-3D modeling.
- ⏱️ TripoSR is capable of creating high-quality 3D outputs in less than a second, making it extremely fast.
- 🏗️ The tool is already being used to build games and apps, showcasing its practicality and open-source nature.
- 👥 Trio AI is an independent company specializing in 3D and AI, with Trio being one of their significant releases.
- 🎨 The importance of image-to-3D and text-to-3D for creating realistic videos is highlighted, especially when combined with basic physics engines.
- 📊 TripoSR's performance is impressive, outperforming other models on speed and quality, and it can run without a GPU, making it accessible to a wide range of users.
- 🚫 There has been controversy with Mid Journey banning Stability AI staff due to alleged data scraping to train Stable Diffusion 3, leading to service outages.
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, which are considered some of the most impressive attributes of the model based on its text to image capabilities.
What is the significance of the research paper released by Stability AI?
-The research paper provides concrete numbers on how the Stable Diffusion 3 model stacks up against other generative AI models, highlighting its advancements in text to 3D and text to video capabilities.
What is the role of the tool called TripoSR in the context of Stable Diffusion 3?
-TripoSR is a new image-to-3D model that collaborates with Stable Diffusion 3, allowing users to convert images into 3D models in a single step, enhancing the capabilities of generative AI for creating realistic 3D content.
Who collaborated with Stability AI to create TripoSR?
-Stability AI collaborated with Trio AI, an independent company sponsored by Vast AI, to create TripoSR.
What is unique about Trio AI's focus in the AI industry?
-Trio AI has a specific focus on 3D and AI, with Trio being one of their most significant releases, indicating their expertise in this area.
Why is the ability to create high-quality 3D models quickly important for generative AI?
-The ability to create high-quality 3D models quickly is important because it allows for more immersive experiences in video and other applications, providing a more realistic and cohesive output that can be used in various programs without extensive post-processing.
How does TripoSR's performance compare to other image-to-3D models?
-TripoSR outperforms other open image-to-3D models by generating draft quality 3D outputs, including textured meshes, in around half a second on an Nvidia A100, making it significantly faster.
What is the significance of TripoSR being open source?
-Being open source, TripoSR allows for commercial, personal, and research use under the MIT license, making it accessible and practical for a wide range of users and applications without legal implications or IP concerns.
What was the controversy between Stability AI and Mid Journey?
-The controversy arose when Stability AI employees were accused of using Mid Journey to train their next model, Stable Diffusion 3, leading to Mid Journey banning all Stability AI employees from using their service.
How does the open-source nature of Stability AI's tools impact the development community?
-The open-source nature of Stability AI's tools enables solo developers to create incredible applications and games quickly, fostering innovation and collaboration in the development community.
Outlines
🤖 Stable Diffusion 3's Impressive Capabilities
The script discusses the anticipation surrounding Stability AI's unreleased Stable Diffusion 3 model, highlighting its potential for text-to-3D and text-to-video generation. It mentions a research paper that provides insights into the model's performance compared to other AI models. The secrecy around the model's video and 3D capabilities is noted, with a focus on the quiet release of a tool called Trio Sr, developed in collaboration with Trio AI. The tool's ability to convert images to 3D models rapidly is emphasized, along with its open-source nature, which allows for widespread use and development.
🔍 Trio Sr: High-Quality 3D Model Generation
This paragraph delves into the specifics of Trio Sr, a tool released by Stability AI in partnership with Trio AI. It underscores the tool's capability to generate high-quality 3D models from a single image in under a second. The collaboration's focus on creating clean and usable 3D objects with minimal computational resources is highlighted. The paragraph also touches on the open-source nature of the tool, its performance on Nvidia A100 GPUs, and its accessibility to users with or without GPUs. The significance of the tool's performance and quality, as well as its potential applications, is discussed.
🚀 Open Source and the Future of Generative AI
The final paragraph addresses the broader implications of open-source tools in the field of generative AI. It discusses the impact of Stability AI's open-source approach on solo developers and the rapid development of games and applications using their tools. The paragraph also covers the controversy between Stability AI and Mid Journey, where Stability AI employees were accused of using Mid Journey's platform to train their models, leading to a ban. The narrative concludes with a reflection on the competitive landscape and the pursuit of data and training points in AI development.
Mindmap
Keywords
💡Stable Diffusion 3
💡Text-to-3D
💡Trio AI
💡TripoSR
💡Image-to-3D
💡AI 100s
💡MID Journey
💡Nerf Artifacts
💡Open Source
💡MIT License
💡Immersive Experience
Highlights
Stability AI is developing an unreleased model called Stable Diffusion 3 with impressive text-to-3D and text-to-video capabilities.
The research paper on Stable Diffusion 3 provides concrete numbers on its performance compared to other generative AI models.
Stability AI and a mod are being secretive about the video and 3D features of Stable Diffusion 3.
Stability AI released a tool called TripoSR in collaboration with Trio AI, focusing on image-to-3D modeling.
TripoSR is capable of creating high-quality 3D outputs in less than a second.
People are already building games and apps with TripoSR, showcasing its practical applications.
Trio AI specializes in 3D and AI, and Tripo is one of their significant releases.
TripoSR can generate detailed 3D models with low inference budgets, even without a GPU.
The release of TripoSR is open source under the MIT license, allowing for commercial, personal, and research use.
TripoSR's performance outperforms other open image-to-3D models, generating draft quality 3D outputs in half a second.
The quality of 3D models from TripoSR is impressive, with better cohesion and detail compared to previous methods.
Stability AI's partnership with Trio AI aims to generate high-quality 3D models from a single image quickly.
The open-source nature of TripoSR allows for immediate use and development by the community without legal concerns.
There are already game demos built entirely with Stability AI tools, demonstrating the power of open-source development.
Stability AI employees were accused of using Mid Journey to train Stable Diffusion 3, leading to a ban from Mid Journey.
The incident between Stability AI and Mid Journey highlights the competitive nature of the AI industry and the pursuit of data.
Stability AI's open-source approach is changing the landscape, encouraging more companies to release tools for community development.