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cover of episode The Researcher to Founder Journey, and the Power of Open Models

The Researcher to Founder Journey, and the Power of Open Models

2024/8/16
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AI + a16z

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Robin Rombach, Andreas Blattmann, Patrick Esser: 我们在海德堡大学相识,共同进行了许多有影响力的研究工作,包括潜在生成模型在图像和视频生成上的应用。早期,扩散模型的优越性并不明显,我们的研究也曾受到质疑。然而,通过开源模型,我们获得了社区的广泛反馈,并不断改进模型。Stable Diffusion 的成功证明了开放模型的价值,它带来了大量的下载量和社区探索。我们新公司 Black Forest Labs 致力于开发最佳模型,并持续公开分享研究成果和模型,以确保模型的持续发展和商业可行性。Flux 模型是我们的首个图像模型,它在速度和效率方面进行了优化,并提供不同许可证的版本以满足不同用户的需求。我们相信开放模型能够促进研究成果的共享和实验,并最终提升模型的安全性。我们正在研究水印技术,以帮助识别由我们的神经网络生成的虚假信息。我们也正在开发一个新的视频模型,该模型在可控性和效率方面都有显著提升,并能够解决之前视频模型生成静态场景的问题。 Anjney Midha: Stable Diffusion 的成功表明,开放模型能够对学术界以外的社区产生巨大影响。与语言模型领域相比,生成图像和视频模型社区更倾向于开源研究成果。开放模型能够从社区获得反馈,并将其整合到模型迭代中。开放模型的迭代过程,包括整合社区反馈,改进模型质量,并扩展训练基础设施。

Deep Dive

Key Insights

Why did the founders of Black Forest Labs choose to release their models as open-weight licenses?

They believe in the value of sharing research findings openly to benefit the wider community, enabling experimentation and innovation. They also see it as a way to improve safety and transparency in AI models by allowing more people to analyze and contribute to their development.

What is the mission of Black Forest Labs?

To make the best image and video generation models widely available, enabling a new way of content creation for everyone while ensuring the sustainability of sharing research findings openly.

What are the key improvements in Black Forest Labs' Flux model compared to previous models?

Flux introduces better positional embeddings, more hardware-efficient implementations, optimized noise schedules, and improved scaling techniques. It also offers different variants with varying licenses to cater to specific needs.

How does Black Forest Labs approach the challenge of video generation controllability?

They focus on improving prompt adherence, temporal consistency, and object consistency across video cuts. Their model allows for better control over characters, objects, and settings within a single generation.

What was the biggest change in the data preparation and pre-training stages for Black Forest Labs' latest video model?

They made significant improvements in data pre-processing and pre-training, including better temporal compression and data filtering techniques. They also treated time as a first-class citizen in the model architecture.

Why is it important for Black Forest Labs to release open-weight models despite potential risks?

Open-weight models allow the community to identify and address biases, improve transparency, and contribute to the overall advancement of AI. This collaborative approach helps mitigate risks and enhances the safety of the models.

What are the main challenges in watermarking generated content to prevent misinformation?

Watermarking is challenging due to the ability to apply distortions to images and videos, which can break the watermarking process. However, open models allow for continuous improvements in watermarking techniques as new jailbreak methods are discovered.

How does Black Forest Labs' approach to model training differ from traditional methods?

They emphasize intuition, experience, and continuous feedback during training runs. Their team relies on the expertise of individuals who can quickly assess whether a training run is progressing in the right direction, which speeds up the development process.

What role does the image model play in the development of Black Forest Labs' video model?

The image model serves as a foundational base for the video model, providing diversity in styles and artistic elements that might not be captured in video data alone. It also allows for parallel development and faster progress in the video model's training.

What is the potential impact of AI models like Flux on creative workflows?

AI models like Flux can dramatically speed up creative workflows by providing a fast feedback loop for generating visuals from ideas. However, human input is still essential for decision-making, curation, and refining the final output.

Shownotes Transcript

In this episode of the AI + a16z podcast, Black Forest Labs) founders Robin Rombach, Andreas Blattmann, and Patrick Esser sit down with a16z general partner Anjney Midha to discuss their journey from PhD researchers to Stability AI, and now to launching their own company building state-of-the-art image and video models. They also delve into the topic of openness in AI, explaining the benefits of releasing open models and sharing research findings with the field.

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Flux)

Keep the code to AI open, say two entrepreneurs)

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Robin Rombach)

Andreas Blattmann)

Patrick Esser)

Anjney Midha)

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