TripoSR: Stability AI Teases NEW Image-to-3d Stable Diffusion 3 Model (AI News)

Ai Flux
7 Mar 202412:20

TLDRStability AI teases its upcoming Stable Diffusion 3 model, which promises impressive text-to-3D and text-to-video capabilities. The collaboration with Trio AI has resulted in TripoSR, an image-to-3D tool that generates high-quality models swiftly. The open-source nature of TripoSR and its low inference budget make it accessible for a wide range of applications, from game development to AR/VR experiences. Controversy arises as Stability AI employees are accused of using Mid Journey for training data, leading to a ban from the platform.

Takeaways

  • 🔍 Stability AI is teasing capabilities of their unreleased Stable Diffusion 3 model, hinting at impressive text-to-3D and text-to-video features.
  • 📄 The research paper for Stable Diffusion 3 provides concrete numbers on its performance compared to other generative AI models.
  • 🤔 There is 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 3D capabilities.
  • 💡 Stability AI quietly released a tool called TripoSR, an image-to-3D model, in collaboration with Trio AI, which is sponsored by Vast AI.
  • 🚀 TripoSR is capable of creating high-quality 3D models from images in under a second, making it extremely fast.
  • 🏗️ The release of TripoSR has already spurred developers to build games and apps, showcasing its open-source accessibility.
  • 🤖 Trio AI focuses on 3D and AI, with Trio being one of their significant releases, demonstrating their expertise in the field.
  • 🎨 The importance of image-to-3D and text-to-3D for creating realistic videos is highlighted, especially in comparison to previous immersive experiences.
  • 📊 Stability AI emphasizes the speed and quality of 3D object generation from single images with TripoSR, which runs on low inference budgets and can operate without a GPU.
  • 📜 The model is open-source under the MIT license, allowing for commercial, personal, and research use, setting it apart from other models like Cloud 3.

Q & A

  • What is the main subject of the research paper mentioned in the transcript?

    -The main subject of the research paper is the capabilities of Stability AI's unreleased Stable Diffusion 3 model, particularly its text-to-3D and text-to-video features.

  • What is the significance of the collaboration between Stability AI and Trio AI in the context of the Stable Diffusion 3 model?

    -The collaboration led to the development of TripoSR, a tool that can convert images to 3D models in a single step, which is expected to enhance the capabilities of Stable Diffusion 3, especially in creating realistic videos.

  • What is the unique feature of TripoSR that makes it stand out from other image-to-3D models?

    -TripoSR is capable of generating high-quality 3D models from a single image in less than a second, which is significantly faster than other models, and it can run without a GPU, making it more accessible.

  • Why is the ability to convert text to 3D important for creating realistic videos?

    -Text-to-3D conversion allows for the creation of more immersive and realistic experiences by providing 3D objects that can be manipulated and viewed from different angles, which is crucial for video rendering and enhancing the viewer's perception of depth.

  • What controversy arose between Stability AI and Mid Journey, and how did it affect the relationship between the two companies?

    -There was an incident where Stability AI employees were accused of using Mid Journey to train their next model, Stable Diffusion 3, by extracting prompts and image pairs, which led to Mid Journey banning all Stability AI employees from using their service.

  • What is the significance of the open-source nature of TripoSR and its impact on the AI community?

    -The open-source nature of TripoSR allows developers to freely use, modify, and build upon the tool, fostering innovation and collaboration within the AI community without legal or proprietary constraints.

  • How does the performance of TripoSR compare to other image-to-3D models in terms of speed and quality?

    -TripoSR outperforms other models by generating draft quality 3D outputs, including textured meshes, in around half a second on an Nvidia A100, and it is known for its high-quality and cohesive outputs.

  • What are some potential applications of TripoSR in the gaming and AR/VR industries?

    -TripoSR can be used to rapidly create detailed 3D models for game development, as well as integrate these models into AR/VR spaces, enhancing the development of immersive experiences.

  • What is the role of generative AI in creating immersive experiences, and how does TripoSR contribute to this?

    -Generative AI plays a crucial role in creating immersive experiences by generating realistic 3D content. TripoSR contributes by providing a fast and efficient way to convert images into 3D models, which can then be used to create more lifelike environments and objects.

  • How does the release of TripoSR reflect the current trend in the AI industry towards more open tools and collaboration?

    -The release of TripoSR, an open-source tool, reflects a shift in the AI industry towards greater openness, where companies are more willing to share their innovations and collaborate, rather than keeping their technologies closed and proprietary.

Outlines

00:00

🧠 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. It reviews the research paper that compared this model with others in the generative AI space. The secrecy around the model's video and 3D features is highlighted, with mentions of Stability AI's openness about the capabilities of Stable Diffusion 3 on Twitter. The script also touches on a quiet release by Stability AI called 'tripo Sr', a collaboration with Trio AI for image-to-3D model conversion, emphasizing its speed and quality. The implications of this tool for the upcoming release of Stable Diffusion 3 are explored, including its potential to enhance the realism of generated videos.

05:01

🚀 Trio Sr: High-Quality 3D Model Generation

This paragraph delves into the partnership between Stability AI and Trio AI, which resulted in the creation of Trio Sr, a tool capable of generating high-quality 3D models from a single image in under a second. The tool's efficiency, even without a GPU, and its open-source nature under the MIT license are highlighted. The script mentions the impressive cohesion and detail of the 3D models produced by Trio Sr, comparing them favorably to other models like Open LRM. The paragraph also discusses the broader impact of open-source tools like Trio Sr on the accessibility and practicality of AI technology for a wide range of users and applications.

10:02

🔍 The Mid Journey Controversy and Open Source Impact

The final paragraph addresses a controversy involving Stability AI and Mid Journey, where Stability AI employees were accused of using Mid Journey to train their next model, Stable Diffusion 3, leading to a service outage and subsequent banning of Stability AI staff from Mid Journey. The paragraph also reflects on the importance of open-source tools in enabling developers to build rapidly and innovate, contrasting this with the封闭式 nature of other AI models. It concludes by inviting viewers to share their thoughts on the potential features of Stable Diffusion 3 and the video's content.

Mindmap

Keywords

💡Stable Diffusion 3

Stable Diffusion 3 refers to an unreleased model by Stability AI that is expected to have significant advancements in generative AI capabilities, particularly in text-to-3D and text-to-video generation. It is central to the video's theme as it represents the next step in AI-driven content creation. The script mentions that Stability AI has been secretive about the details of this model, which adds to the intrigue and anticipation around its capabilities.

💡Text-to-3D

Text-to-3D is a technology that converts textual descriptions into three-dimensional models. It is highlighted in the script as one of the impressive attributes of Stable Diffusion 3, indicating a significant leap in AI's ability to understand and visualize textual input in a three-dimensional space. The script uses this term to discuss the potential of Stability AI's new model to create 3D content from text prompts.

💡Trio AI

Trio AI is an independent company that focuses on 3D and AI technologies. It is mentioned in the script as the collaborator with Stability AI in developing 'TripoSR,' a new image-to-3D model. Trio AI's involvement is significant as it brings expertise in 3D modeling to the partnership, contributing to the development of advanced AI tools for 3D content creation.

💡TripoSR

TripoSR is a tool released by Stability AI in collaboration with Trio AI. It is an image-to-3D model that can quickly generate 3D representations from images, which is a key development in the field of AI and 3D modeling. The script describes TripoSR as being capable of creating high-quality outputs in less than a second, showcasing the speed and efficiency of this technology.

💡Image-to-3D

Image-to-3D is the process of converting 2D images into 3D models. The script discusses this concept in the context of TripoSR, which allows for the transformation of images into 3D objects in a single step. This technology is important for the video's narrative as it represents a breakthrough in making 3D modeling more accessible and faster.

💡AI 100s

AI 100s refer to a series of powerful AI accelerators, likely the Nvidia A100 GPUs, which are used for training and running complex AI models. The script mentions these in the context of Stability AI's access to such hardware from Jeff Bezos, emphasizing the computational resources available for developing advanced AI models like Stable Diffusion 3.

💡Mid Journey

Mid Journey is a platform mentioned in the script that experienced an outage due to suspected data scraping by Stability AI employees. The term is used to illustrate a conflict between Mid Journey and Stability AI, where the latter is accused of using the platform to train their AI models, leading to a ban on Stability AI staff from using Mid Journey.

💡Nerf

In the context of the script, 'Nerf' refers to a technique used in 3D modeling to create a simplified representation of an object's surface. The script discusses the limitations of Nerf technology when compared to the more advanced and cohesive 3D modeling capabilities of TripoSR, highlighting the improvements in AI-driven 3D generation.

💡Open Source

Open Source denotes software or tools that are made publicly available, allowing anyone to use, modify, and distribute them. The script emphasizes the importance of open-source tools like TripoSR and Stable Diffusion 3, which enable a wider range of users and developers to build upon and innovate with these technologies without legal or proprietary restrictions.

💡Immersive Experience

An immersive experience, as discussed in the script, refers to the sensation of being deeply engaged in a virtual environment or simulation. The video talks about how advancements in AI, such as 3D modeling and video generation, contribute to creating more realistic and immersive experiences, moving beyond traditional 2D images to a more interactive 3D space.

💡Inference Budgets

Inference budgets refer to the computational resources required to run AI models for tasks such as generating outputs from inputs. The script mentions that TripoSR operates on incredibly low inference budgets, meaning it can function efficiently even without a high-end GPU, making it more accessible for a broader audience.

Highlights

Stability AI is teasing the capabilities of their unreleased Stable Diffusion 3 model through research papers and hints.

Text to 3D and text to video are expected to be impressive features of Stable Diffusion 3.

Stability AI has been secretive about the details of video and 3D in Stable Diffusion 3.

A mod suggests that the current version of Stable Video is as good as Sora.

Stability AI quietly released a tool called TripoSR in collaboration with Trio AI.

TripoSR is an image-to-3D model that can also accept text input.

The tool is capable of creating high-quality outputs in less than a second.

People are already building games and apps with TripoSR.

Trio AI focuses on 3D and AI, and has released several 3D-related tools.

TripoSR can create 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 and research use.

TripoSR's performance outperforms other open image-to-3D models in speed and quality.

The training data and research paper for TripoSR have been open-sourced.

Vision Pro demo showcases the integration of image-to-image and image-to-3D technologies.

Open-source tools like TripoSR enable solo developers to create impressive projects quickly.

Stability AI's tools are part of a shift towards more accessible and open AI technologies.

Mid Journey banned Stability AI employees after accusations of data scraping to train Stable Diffusion 3.

The controversy highlights the competitive nature of AI development and data procurement.

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