Flux.1 16B: New SOTA Text 2 Video Model by Black Forest Labs (Ex-Stability AI)

Ai Flux
6 Aug 202409:24

TLDRBlack Forest Labs, a team of ex-Stability AI engineers, has introduced Flux.1, a state-of-the-art open-source text-to-video model. Flux.1 promises to push the boundaries of generative AI, with a focus on creativity and efficiency. The model has already garnered attention for its impressive Elo score, outperforming Stable Diffusion 3 Ultra and other notable models. The team's next step is to develop a text-to-video model accessible to all, aiming to run on a single 3090 or 4090 GPU. Meanwhile, Nvidia's alleged use of YouTube-DLP for training their multimodal text-to-video model, Cosmo, has raised questions about data usage in AI development.

Takeaways

  • 🚀 Black Forest Labs, a new team from the engineers of Stability AI, is developing state-of-the-art open-source models under the project name 'Flux.1 16B'.
  • 🌟 Flux.1 16B is a significant step forward in generative AI, aiming to push the boundaries of text-to-image synthesis.
  • 📈 The team's funding comes from notable investors like Anderson Horowitz and Gary Tan, indicating strong support for their mission.
  • 🏆 Flux.1 Dev has achieved an impressive Elo score, outperforming models like Stable Diffusion 3 Ultra and Mid Journey V6.
  • 🔍 There are different models within Flux.1, including Pro Dev and Schel, with Schel being the fastest.
  • 🎥 The next frontier for Black Forest Labs is text-to-video, which they aim to make accessible to all with state-of-the-art technology.
  • 🤖 They plan to make their text-to-video model run efficiently on a single 3090 or 4090 GPU, making it widely accessible.
  • 🔮 Nvidia is also focusing on text-to-video models, with their 'Cosmo' project leveraging open-source tools to train on a vast amount of video data.
  • 🛠️ Nvidia's approach to generative AI involves inferring physics for realistic simulations, which is a strategic shift from traditional rendering techniques.
  • 🔑 The use of YouTube DLP by Nvidia for downloading videos for training purposes has raised questions about the ethical use of data.
  • 📚 The script highlights the rapid progress and competition in the field of generative AI, with both Black Forest Labs and Nvidia making significant strides.

Q & A

  • What is the significance of the progress made in generative AI as mentioned in the script?

    -The progress in generative AI is significant because it has been accelerating rapidly, with updates in text-to-image and text-to-video models that have the potential to revolutionize how we create and interact with media.

  • What is the background of Black Forest Labs and its relation to Stability AI?

    -Black Forest Labs is a new team formed by some of the original engineers who worked on Stability AI. They aim to continue developing state-of-the-art open source models after Stability AI is no longer being actively developed.

  • What is Flux.1 and how does it relate to the previous models like Stable Diffusion?

    -Flux.1 is a new suite of models released by Black Forest Labs, which is considered the next generation in text-to-image synthesis. It builds upon the progress made by models like Stable Diffusion, improving and advancing the technology further.

  • What are the unique features of Flux.1 that make it stand out from other models?

    -Flux.1 stands out due to its high Elo score, which indicates its performance is better than other models like Stable Diffusion 3 Ultra and Mid Journey V6. It also aims to be fast and accessible to people without extensive computational resources.

  • What is the mission of Black Forest Labs as stated in their launch?

    -Black Forest Labs' mission is to develop advanced, state-of-the-art generative deep learning models for media, with a focus on pushing the boundaries of creativity and efficiency.

  • Who are some of the notable investors behind Black Forest Labs?

    -Notable investors behind Black Forest Labs include Anderson Horowitz, Gary Tan, and several big names in the Bay Area, indicating strong financial backing for their projects.

  • What is the next big frontier in generative AI according to the script?

    -The next big frontier in generative AI is text-to-video, which was previously thought to be impossible outside of specific platforms but is now being pursued by teams like Black Forest Labs.

  • What is the potential impact of Black Forest Labs' work on the accessibility of AI models?

    -The potential impact is significant as they aim to make their models, like Flux.1, accessible to everyone, including those without high-end computational resources, by making it run on a single 3090 or 4090 GPU.

  • What is the controversy surrounding Nvidia's use of open source tools to train their models?

    -Nvidia is under scrutiny for allegedly using open source tools like YouTube DLP to download YouTube videos for training their multimodal text-to-video model, Cosmo, which raises questions about the legality and ethics of using such data.

  • How does Nvidia's approach to generative AI models differ from Black Forest Labs?

    -Nvidia's approach focuses more on inferring physics simulations rather than just visual accuracy, aiming to use AI for more realistic and physically accurate representations in their models.

  • What are the implications of the advancements in generative AI for the future of media creation?

    -The advancements imply a future where media creation can be more accessible, efficient, and potentially more realistic, with AI models capable of generating high-quality content with less human input.

Outlines

00:00

🚀 Introduction to Black Forest Labs and Flux

The script introduces the rapid advancements in generative AI, particularly in text-to-image synthesis, and highlights the under-the-radar project 'flux' by Black Forest Labs. This project is significant as it is developed by the original engineers behind stable diffusion, which is no longer being actively developed. Flux aims to continue the legacy by creating state-of-the-art open-source models accessible to everyone, regardless of their computational resources. The first model released, Flux One, has already outperformed several existing models in terms of Elo score, indicating its high quality. The script also teases the next steps for Black Forest Labs, hinting at their ambitions to push the boundaries of text-to-video synthesis, a frontier in generative AI.

05:01

🌐 Nvidia's Involvement in Text-to-Video AI and Controversy

The second paragraph delves into Nvidia's recent developments and controversies. It discusses how Nvidia has been working on a text-to-video model called Cosmo, which is part of their Omniverse 3D world generator and other projects. The controversy arose when it was discovered that Nvidia allegedly used open-source tools to download YouTube videos for training their AI models, raising questions about the legality and ethics of using such data. The script also contrasts Nvidia's approach with that of Black Forest Labs, noting that while Black Forest Labs focuses on creating visually impressive models, Nvidia is more interested in inferring physics for simulations, which could have significant implications for their various applications.

Mindmap

Keywords

💡Flux.1 16B

Flux.1 16B refers to a new state-of-the-art text-to-video model developed by Black Forest Labs, a team originating from the engineers behind the well-known Stable Diffusion model. It represents a significant advancement in generative AI, capable of creating videos from textual descriptions. In the script, it is mentioned as a project that 'flew under the radar' but is incredibly interesting, indicating its potential to revolutionize the field of AI-generated media.

💡Black Forest Labs

Black Forest Labs is a new team formed by some of the original engineers from Stability AI. Their mission, as stated in the script, is to develop advanced, state-of-the-art generative deep learning models for media, aiming to push the boundaries of creativity and efficiency. The script highlights their launch and the excitement around their first model, Flux.1, which is positioned as the next generation of text-to-image synthesis.

💡Stable Diffusion

Stable Diffusion is a text-to-image model previously developed by Stability AI. It is mentioned in the script as a predecessor to Flux.1, indicating a progression in the capabilities of generative AI. The script notes that Stable Diffusion and Stability AI are no longer being actively developed, with the new team at Black Forest Labs looking to continue the advancement of open-source models.

💡Generative AI

Generative AI refers to artificial intelligence systems that can create new content, such as images, videos, or text, based on existing data. In the script, generative AI is discussed in the context of its rapid progress, with a focus on text-to-image and text-to-video models. The development of Flux.1 by Black Forest Labs is an example of pushing the frontiers of this technology.

💡Elo Score

Elo Score, in the context of AI models, is a measure of the performance of a model, often used to compare different models' capabilities. The script mentions that Flux.1 Dev has a better Elo score than Stable Diffusion 3 Ultra, indicating its superior performance in text-to-image synthesis.

💡Text-to-Video

Text-to-video refers to the process by which AI models generate video content from textual descriptions. The script discusses this as the 'next big frontier' in generative AI, with Black Forest Labs promising to develop state-of-the-art text-to-video models that are accessible to everyone.

💡3090 or 4090

The script mentions the 3090 and 4090, which are reference to NVIDIA's RTX 3090 and 4090 graphics processing units (GPUs). These GPUs are highlighted as the target hardware for running Black Forest Labs' AI models, suggesting that the models are designed to be powerful yet accessible, capable of running on consumer-grade hardware.

💡Nvidia

Nvidia is a leading technology company known for its GPUs and AI research. In the script, Nvidia is mentioned in relation to its focus on developing state-of-the-art text-to-video models, with a particular emphasis on inferring physics for more realistic simulations. The script also discusses a controversy involving the use of open-source tools to download YouTube videos for training purposes.

💡Omniverse

Omniverse is a platform developed by Nvidia for 3D design and collaboration, which includes capabilities for creating realistic virtual worlds and simulations. The script mentions that Nvidia's text-to-video model, Cosmo, is being used predominantly for Omniverse, indicating its application in generating 3D worlds and content.

💡Physics Simulations

Physics simulations refer to the process of using mathematical models to mimic the behavior of physical systems. In the context of the script, Nvidia's interest in text-to-video models is tied to their ability to infer and simulate physics, which is a significant advancement from traditional graphics rendering techniques.

💡YouTube DLP

YouTube DLP is an open-source tool mentioned in the script as being used by Nvidia to download YouTube videos for training their AI models. It is a variant of the popular YouTube DL project, capable of downloading videos from various websites, and is highlighted in the script as part of the controversy surrounding Nvidia's data usage.

Highlights

Flux.1 16B is a new state-of-the-art (SOTA) text-to-video model developed by Black Forest Labs, a team originating from the engineers behind Stability AI.

Open Source AI and generative AI progress is accelerating, yet not widely discussed.

Flux project aims to continue developing advanced, open-source generative deep learning models for media.

Black Forest Labs is funded by notable investors such as Anderson Horowitz and Gary Tan.

Flux.one's performance, as measured by Elo score, surpasses that of Stable Diffusion 3 Ultra and other models like Mid Journey V6.

Flux.one offers different models including Pro, Dev, and Schel, with Schel being the fastest.

The next frontier in generative AI is text-to-video, which was once thought impossible.

Black Forest Labs is working on a state-of-the-art text-to-video model accessible to everyone.

The team aims for their text-to-video model to run on a single 3090 or 4090 GPU, making it widely accessible.

Nvidia is also focusing on generative AI, with a potential new foundational open-source video model called Cosmo.

Nvidia allegedly used open-source tools to download YouTube videos for training their AI models.

The use of YouTube DLP by Nvidia for downloading videos raises questions about data usage ethics.

Nvidia's approach to AI focuses on inferring physics for more realistic simulations.

Diffusion models like those developed by Black Forest Labs and Nvidia are set to revolutionize video generation.

The potential impact of these models on the accessibility and quality of AI-generated content is significant.

The video concludes with a call for audience engagement and a teaser for future content.

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