Stable Diffusion 3 is HERE! MASSIVE Improvements, Turbo, 3D, Can Stability AI Survive?

Ai Flux
17 Apr 202409:51

TLDRStability AI has recently released Stable Diffusion 3 and its Turbo version on their developer platform API, marking a significant upgrade in their generative AI capabilities. Despite recent challenges, including leadership changes and restructuring, the company has forged ahead with this release. They have partnered with Fireworks AI for API orchestration, aiming to deliver a robust service with 99.9% availability. The new model boasts improvements in text-image generation, potentially surpassing current state-of-the-art systems. Stability AI has introduced a membership model for access to various models, including image, video, language, and 3D models, with different tiers catering to commercial and non-commercial use. The pricing for using Stable Diffusion 3 is set at approximately 7 cents per image generated, with variations for different tasks. The community's reception to this new licensing model and the cost of access remains to be seen, as does the impact on model fine-tuning and sharing on platforms like Hugging Face.

Takeaways

  • 🚀 **Stable Diffusion 3 Launch**: Stability AI has released Stable Diffusion 3 and its Turbo version on their developer platform API.
  • 🔄 **CEO Departure and Restructuring**: The company has faced recent challenges, including the departure of their CEO and corporate restructuring.
  • 💸 **Financial Concerns**: There have been concerns over Stability AI's ability to make a profit, with reports of unpaid bills to Amazon and GPU providers.
  • 🤝 **Partnership with Fireworks AI**: Stability AI has partnered with Fireworks AI for API orchestration, aiming to improve service reliability and performance.
  • 📈 **Model Performance**: The new model claims to be equal to or surpass state-of-the-art text-image generation systems in adherence and human preference evaluations.
  • 🔍 **New Architecture**: Stable Diffusion 3 features a multimodal diffusion Transformer architecture that enhances text understanding and spelling capabilities.
  • 💰 **Pricing and Access**: Access to the model's weights will require a Stability AI membership, which may be a new revenue strategy for the company.
  • 📉 **API Performance Issues**: Stability AI has historically struggled with API performance, which they aim to address with their partnership and membership model.
  • 📊 **Benchmarks and Demos**: The company has showcased impressive demos and benchmarks, indicating the model's capability in creating detailed and cohesive scenes from text.
  • 📱 **Stability AI Membership**: A new membership model is introduced, offering access to various models, with different tiers for commercial and non-commercial use.
  • ⏱ **Efficiency and Cost**: The efficiency of Stable Diffusion 3 is said to be roughly 10 times that of its predecessor, with a focus on cost-effectiveness for users.

Q & A

  • What is the significance of the release of Stable Diffusion 3 and Stable Diffusion 3 Turbo?

    -The release of Stable Diffusion 3 and its Turbo version signifies a massive improvement in generative AI capabilities. These models are now available on Stability AI's developer platform API, showcasing advancements in text-image generation systems and a new multimodal diffusion Transformer architecture.

  • How has Stability AI's recent corporate restructuring affected the company?

    -Stability AI's corporate restructuring has led to some financial challenges, including the departure of their CEO and issues with paying GPU bills to Amazon and Cori. However, the release of Stable Diffusion 3 suggests that the company is moving forward with new strategic partnerships and a focus on improving its API performance.

  • What is the role of Fireworks AI in the release of Stable Diffusion 3?

    -Fireworks AI has partnered with Stability AI to deliver the Stable Diffusion 3 models through their API platform. They are responsible for the API orchestration, aiming to provide an enterprise-grade solution with 99.9% service availability.

  • What are the implications of requiring a Stability AI membership to access the model weights?

    -Requiring a Stability AI membership to access the model weights is a new strategy that may be aimed at generating additional revenue for the company. This could also be a way to attract more investors and pay off past GPU bills, as well as potentially push forward a new licensing model for generative AI.

  • How does the pricing for using Stable Diffusion 3 compare to previous versions?

    -The efficiency and relative cost for Stable Diffusion 3 is roughly 10 times the cost of SDXL when used through the same API. This suggests that while the model may be more efficient, there could be increased computational demands or challenges with GPU availability affecting the pricing.

  • What are the different tiers of Stability AI membership, and what do they offer?

    -Stability AI offers different membership tiers, including free, professional, and enterprise levels. The free tier does not allow commercial use, while the professional tier does. The enterprise tier is expected to offer faster GPU response times and more parallelization with job submissions, although specific features are not detailed.

  • What is the current status of the 3D models in the Stable Diffusion 3 API?

    -As of the script's information, there is no current API endpoint for Stable Diffusion 3 that specifically handles 3D models, despite mentions of 3D capabilities in the membership offerings.

  • How does Stability AI's new licensing model affect the community's ability to fine-tune and modify these models?

    -The new licensing model may impact how the community interacts with the models. It could potentially limit the sharing and modification of models on platforms like Hugging Face, as Stability AI may be looking to establish a more controlled distribution of their technology.

  • What are the potential regulatory concerns surrounding generative AI in 2024?

    -In 2024, generative AI faces potential government regulation, especially with the upcoming election year. Companies like Stability AI need to navigate these concerns carefully, ensuring the safety and ethical use of their technology.

  • How does Stability AI plan to make the model weights of Stable Diffusion 3 available to the public?

    -Stability AI plans to make the model weights available for self-hosting to those with a Stability AI membership in the near future. This indicates a shift towards a more monetized approach to accessing their technology.

  • What are the community's reactions to the new membership model and the pricing structure for Stable Diffusion 3?

    -The community's reactions are not detailed in the script, but it is suggested that there may be mixed feelings. Some may find the pricing too expensive, while others may be willing to pay for access to the advanced features and improvements offered by Stable Diffusion 3.

Outlines

00:00

🚀 Stability AI's Recent Challenges and New Model Release

Stability AI, a key player in open-source generative AI, has faced recent challenges, including the departure of their CEO to a crypto project and corporate restructuring. Despite these issues and unpaid bills to Amazon and Corweave, they've released Stable Diffusion 3 and Stable Diffusion 3 Turbo on their developer platform API. This release is significant as it comes with a partnership with Fireworks AI, aiming to deliver these models with high reliability. Stability AI also plans to make the model weights available for self-hosting to members in the near future, which could be a strategic move to generate revenue and attract investors. The models showcased are capable of creating highly detailed and cohesive scenes from text, and the company claims that their new multimodal diffusion Transformer architecture outperforms or equals state-of-the-art systems in text-image generation.

05:00

💡 Introduction of Stability AI Membership and Pricing Details

Stability AI has introduced a new membership model, which offers access to various models hosted online, including image, video, language, and 3D models. The membership tiers are designed to provide different levels of access and response times, with commercial use permitted at the professional level. The company's new API, Stable Image Core, allows access to Stable Diffusion 3, and the pricing is notably different from previous models, with Stable Diffusion 3 costing about 10 times less than its predecessor when used through the same API. The pricing for different features such as upscaling, in-painting, and video generation is also detailed, with costs ranging from 3 to 25 cents per image or video. The community's reaction to this membership model and the potential impact on model fine-tuning and modifications on platforms like Hugging Face are yet to be seen.

Mindmap

Keywords

💡Stable Diffusion 3

Stable Diffusion 3 is a significant upgrade to the generative AI model developed by Stability AI. It is designed to create more cohesive and detailed images from text prompts. The model is said to be equal to or surpass state-of-the-art text-image generation systems in terms of prompt adherence and human preference evaluations. It is a central focus of the video, showcasing its capabilities and discussing its release.

💡Turbo

Turbo refers to a variant of Stable Diffusion 3 that offers faster performance. It is mentioned as being available on Stability AI's developer platform API, indicating an enhanced version of the base model for users who require quicker processing times.

💡Open Source

Open Source in the context of the video refers to the philosophy of allowing a community of users to have access to a product's source code, enabling them to modify and improve it. Stability AI has been a key player in open source generative AI, which is a major theme in the discussion of their new model's release and its accessibility.

💡API

API stands for Application Programming Interface, which is a set of protocols and tools that allows different software applications to communicate with each other. In the video, Stability AI's API is highlighted as the platform where Stable Diffusion 3 and its Turbo version are made available for developers to integrate into their applications.

💡Fireworks AI

Fireworks AI is mentioned as the partner that Stability AI has collaborated with to deliver the Stable Diffusion 3 models. They are described as providing the fastest and most reliable API platform in the market, which is crucial for the performance and reliability of the generative AI models being offered.

💡Model Weights

Model weights refer to the parameters within a machine learning model that are learned from the training data. The video discusses that Stability AI plans to make the model weights of Stable Diffusion 3 available for self-hosting to members of Stability AI, which is a significant step towards open accessibility.

💡Corporate Restructuring

Corporate restructuring is the process of reorganizing a company's structure or operations to improve efficiency, effectiveness, or profitability. The video mentions that Stability AI has been undergoing corporate restructuring, which has raised questions about the company's financial stability and the future of their products.

💡Multimodal Diffusion Transformer

A Multimodal Diffusion Transformer is an advanced type of machine learning architecture that can handle multiple types of data inputs, such as images and text. The video states that Stable Diffusion 3 uses this architecture, which improves text understanding and spelling capabilities compared to previous versions.

💡Stability AI Membership

Stability AI Membership is a new product offering that provides access to various models hosted online, including image, video, language, and 3D models. The video discusses the different tiers of this membership and how it might affect the accessibility and commercial use of the Stable Diffusion 3 model.

💡Pricing

The pricing of the Stable Diffusion 3 model is a key topic in the video. It discusses the cost of using the model through the API, with different rates for generating images, upscaling, in-painting, and video generation. The pricing model is seen as a potential barrier to entry and a new revenue stream for Stability AI.

💡Hugging Face

Hugging Face is a company that provides a platform for developers to share and use machine learning models. The video speculates that despite Stability AI's new licensing model, the community might still share and use Stable Diffusion 3 models on platforms like Hugging Face, indicating a potential tension between open-source sharing and proprietary access.

Highlights

Stable Diffusion 3 and Stable Diffusion 3 Turbo have been released on Stability AI's developer platform API.

Stability AI has partnered with Fireworks AI for API orchestration, aiming for a more reliable service.

The release includes a requirement for a Stability AI membership to access model weights, a new approach to revenue.

Stable Diffusion 3 is claimed to be equal to or outperform state-of-the-art text-image generation systems like Dolly 3 and mid-Journey V6.

The new multimodal diffusion Transformer architecture uses separate sets of weights for image and language representations.

Stability AI membership offers access to various models, including image, video, language, and 3D models, with different tiers for commercial use.

The pricing for Stable Diffusion 3 is roughly 10 times the cost of SDXL when used through the same API.

Stable Diffusion 3 Turbo offers cheaper rates for image generation at around 4 cents per image.

Upscaling to 4K with Stable Diffusion 3 costs 25 cents per image.

In-painting and out-painting services are available at approximately 3-4 cents per image.

Video generation with Stable Diffusion 3 is priced at around 20 cents per video, with durations possibly between 5 to 10 seconds.

The community's reaction to the membership model for accessing raw weights is uncertain.

Stability AI's potential move away from Hugging Face could indicate a strategic shift, considering Amazon's involvement with both entities.

The efficiency and cost of Stable Diffusion 3 raise questions about the computational intensity and GPU availability.

The company's recent corporate restructuring and financial issues have cast doubt on its future profitability.

The release of Stable Diffusion 3 comes amidst concerns over government regulation targeting generative AI tools.

Stability AI's commitment to open generative AI is demonstrated by their intention to make model weights available for self-hosting.

The visual demonstrations of Stable Diffusion 3's capabilities show significant improvements in creating cohesive scenes from text.

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