TripoSR: Stability AI Teases NEW Image-to-3d Stable Diffusion 3 Model (AI News)
TLDRStability AI teases the upcoming Stable Diffusion 3 model, which promises impressive text-to-3D and text-to-video capabilities. The release of TripoSR, in collaboration with Trio AI, introduces an image-to-3D model that rapidly generates high-quality 3D outputs, sparking excitement for its potential in creating realistic videos. The tool's open-source nature and low inference budget make it accessible for developers, hinting at a future where generative AI could revolutionize content creation. Amidst controversy over Stability AI employees' use of Mid Journey for training data, the community awaits the full reveal of Stable Diffusion 3's capabilities.
Takeaways
- 🤖 Stability AI is teasing capabilities of their unreleased Stable Diffusion 3 model, with hints of impressive text-to-3D and text-to-video features.
- 📄 The research paper on Stable Diffusion 3 provides concrete numbers on its performance compared to other generative AI models.
- 🔍 Stability AI has been secretive about the video and 3D capabilities of Stable Diffusion 3, with some details shared by Emad on Twitter.
- 💡 Stability AI quietly released a tool called TripoSR in collaboration with Trio AI, focusing on image-to-3D conversion.
- 🔑 TripoSR is capable of creating high-quality 3D models from images in under a second, making it incredibly fast.
- 🎮 The tool is already being used to build games and Apple Vision Pro apps, showcasing its practical applications.
- 👥 Trio AI is an independent company specializing in 3D and AI, with Trio being one of their significant releases.
- 🌐 The release of TripoSR is open source under the MIT license, allowing for commercial, personal, and research use.
- 📈 The performance of TripoSR is superior to other models, generating detailed 3D models quickly even without a GPU.
- 🚀 The potential of image-to-3D technology in creating realistic videos is highlighted, improving on techniques used by companies like Nerf Studio.
- 🆚 There has been a controversy between Stability AI and Mid Journey, with accusations of Stability AI employees using Mid Journey to train Stable Diffusion 3, leading to a ban.
Q & A
What is the main focus of the research paper released by Stability AI?
-The research paper focuses on the capabilities of Stability AI's unreleased model, Stable Diffusion 3, particularly its text-to-3D and text-to-video attributes, and how it compares to other generative AI models.
What is the significance of the collaboration between Stability AI and Trio AI in the development of TripoSR?
-The collaboration led to the creation of TripoSR, a tool that can convert images to 3D models in a single step, which is significant because it allows for rapid generation of high-quality 3D outputs from single images, enhancing the capabilities of Stable Diffusion 3.
How does TripoSR differ from other image-to-3D models in terms of speed and quality?
-TripoSR is capable of creating high-quality 3D models from single images in less than a second, which is significantly faster than other models. It also produces more cohesive and usable 3D objects with fewer post-processing steps required.
Why is the ability to generate 3D models from images or text important for creating realistic videos?
-The ability to generate 3D models allows for more immersive and realistic video experiences by providing a true 3D perspective and interactions, as opposed to simply stretching 2D images across a 3D environment.
What technical advancements does Trio AI bring to the table with their focus on 3D and AI?
-Trio AI brings advancements in converting images into 3D objects and rendering them in environments like Minecraft, as well as developing tools that can create detailed 3D models quickly and with low inference budgets.
How does the open-source nature of TripoSR benefit the AI community and developers?
-The open-source nature of TripoSR allows for commercial, personal, and research use without legal implications, enabling developers to innovate and build upon the technology without restrictions.
What was the controversy surrounding Stability AI and Mid Journey?
-The controversy involved Stability AI employees allegedly using Mid Journey to train Stable Diffusion 3, which led to Mid Journey banning all Stability AI employees and implementing a new policy against aggressive automation.
How does the incident with Mid Journey reflect on the competitive landscape of AI development?
-The incident shows the intense competition in AI development, where companies may resort to using each other's services to gather data for training their models, highlighting the ongoing pursuit of novel training points and data procurement.
What are some of the implications of the open-source model for AI tools like TripoSR and the future of AI development?
-The open-source model allows for wider accessibility and practicality of AI tools, enabling a broader range of users and applications. It also fosters a community-driven approach to innovation and development, potentially leading to faster advancements in the field.
What are some of the potential applications of TripoSR in the gaming and AR/VR industries?
-TripoSR can be used to rapidly create detailed 3D models for games, enhancing development speed and visual quality. In AR/VR, it can provide immersive 3D environments and objects, improving user experiences.
Outlines
🚀 Stability AI's Stable Diffusion 3 and Its Potential
Stability AI has been hinting at the capabilities of their unreleased Stable Diffusion 3 model. The recent research paper provides concrete numbers showing how it compares to other generative AI models. One of the most impressive aspects is its text-to-3D and text-to-video capabilities. Despite the secrecy surrounding these features, it's clear from Twitter discussions that the current version of Stable Video is comparable to Sora, and the 3D capabilities are impressive. A quiet release of a new tool just before the research paper hints at significant upcoming announcements. The news about mid Journey banning Stability AI staff for using their images and prompts to train Stable Diffusion 3 highlights the competitive tension between these companies.
🛠️ Introducing Trio Sr: Stability AI's New Tool
Stability AI released a new tool called Trio Sr, developed in collaboration with Trio AI and sponsored by Vast AI. This tool transforms images into 3D models quickly, even from text inputs, and can produce high-quality outputs in less than a second. The tool is already being used to create games and applications, including those for the Apple Vision Pro. Trio AI focuses on 3D and AI, and this partnership with Stability AI has resulted in a highly polished product. The tool leverages the extensive compute resources Stability AI has access to, thanks to supporters like Jeff Bezos.
🌍 Why 3D Modeling Matters in Generative AI
Trio Sr's ability to generate high-quality 3D models from single images quickly is significant for creating realistic videos. The performance and quality of the 3D models are exceptional, with Trio Sr outperforming other image-to-3D models in speed and usability. The open-source nature of this tool, licensed under the MIT license, makes it accessible for commercial, personal, and research use. Trio Sr can run without a GPU, making it practical for a wide range of users and applications. The high-quality, cohesive 3D models it produces are ready to use immediately, marking a significant advancement in generative AI technology.
📉 Mid Journey's Response to Stability AI
Mid Journey experienced a 24-hour outage due to botnet-like activity from paid accounts, which they linked to Stability AI employees attempting to grab prompt and image pairs. As a result, Mid Journey banned all Stability AI employees indefinitely. This incident highlights the competitive tension between the two companies, as Stability AI continues to develop its own generative models. Despite these challenges, the advancements in image-to-3D technology are poised to have a significant impact on the future of generative AI.
Mindmap
Keywords
💡Stable Diffusion 3
💡Text-to-3D
💡TripoSR
💡Trio AI
💡Image-to-3D
💡AI 100s
💡Nerf
💡Inference Budgets
💡MIT License
💡Mid Journey
Highlights
Stability AI teases the capabilities of their unreleased Stable Diffusion 3 model through a research paper.
Stable Diffusion 3 is expected to excel in text-to-3D and text-to-video conversion.
Stability AI and a mod have been secretive about the video and 3D features of Stable Diffusion 3.
A quiet release by Stability AI, minutes before their research paper, hints at an upcoming model release.
Mid Journey's service went down due to Stability AI developers using it to train Stable Diffusion 3.
Mid Journey has banned Stability AI staff following the incident.
Stability AI released 'TripoSR', an image-to-3D model in collaboration with Trio AI.
TripoSR can generate high-quality 3D models from images in under a second.
Trio AI focuses on 3D and AI, and has released several 3D-related tools.
Image-to-3D and text-to-3D are significant for creating realistic-looking videos.
Stability AI emphasizes the speed and quality of 3D object generation with TripoSR.
TripoSR operates on low inference budgets and can run without a GPU.
The model is open-source under the MIT license, allowing commercial and research use.
Performance of TrioSR outpaces other models, generating detailed 3D models rapidly.
Stability AI's open-source approach enables solo developers to create quickly and efficiently.
The tech community is adapting to more open tools, shifting from closed models to collaborative development.
Stability AI's alleged data procurement methods from Mid Journey have caused a public dispute.
The incident led to a policy change at Mid Journey, banning aggressive automation and service disruption.
Stability AI's tools, like TripoSR, empower developers and signal a competitive landscape in AI development.