Stable Diffusion 3 API Released.

Sebastian Kamph
18 Apr 202408:01

TLDRStability AI has released Stable Diffusion 3 and Stable Diffusion 3 Turbo via their developer platform API in partnership with Fireworks AI. This marks a significant update in generative AI, offering improved prompt understanding and text-to-image generation capabilities. The new model has been evaluated as equal to or better than state-of-the-art systems like Dolly 3 and Mid Journey V6, based on human preference. Stability AI emphasizes a commitment to safe and responsible practices, continuously improving the model to prevent misuse. The API is currently available, with further enhancements expected before an open release. Users can expect better text understanding, spelling capabilities, and creative control with the new model.

Takeaways

  • 🌟 Stable Diffusion 3 and Stable Diffusion 3 Turbo are now available on the Stability AI developer platform API.
  • 🀝 Stability AI has partnered with Fireworks AI, which is described as the fastest and most reliable API platform in the market.
  • πŸš€ Improved prompt understanding and text-to-image generation capabilities are highlighted features of Stable Diffusion 3.
  • πŸ“ˆ The new model is claimed to be equal to or outperform state-of-the-art systems like Dolly 3 and Mid Journey V6 in typography and prompt adherence.
  • πŸ” Human preference evaluations are used to assess the quality of generated images, simulating a voting system to determine the best results.
  • πŸ”„ A new multimodal diffusion transform is introduced, using separate sets of weights for images and language representation to enhance text understanding and spelling.
  • 🎨 Examples provided demonstrate the model's ability to generate detailed and contextually relevant images from complex prompts.
  • πŸ“Έ Stability AI emphasizes the importance of safety and responsible practices to prevent misuse of the technology.
  • πŸ› οΈ The model is available via API today, but continuous improvements are being made in anticipation of an open release.
  • πŸ”’ The API is the only way to access Stable Diffusion 3, and it cannot be downloaded and used locally.
  • 🌱 The community is expected to play a significant role in further refining and training the model for better performance.

Q & A

  • What is the significance of the release of Stable Diffusion 3 API?

    -The release of Stable Diffusion 3 API marks a new era in generative AI, making it more accessible to a broader audience. It is a significant step forward in terms of prompt understanding and text-to-image generation capabilities, offering improved features over its predecessors.

  • How does Stable Diffusion 3 differ from its competitors like Dolly and Midjourney?

    -Stable Diffusion 3 is open-source, which has been beneficial for the community. It is also considered a more professional tool compared to its closed-source competitors, offering advanced features like control nets and face recognition abilities.

  • What are the benefits of Stable Diffusion 3 being available through the Stability AI developer platform API?

    -By being available through the API, Stable Diffusion 3 can be accessed by anyone, allowing for a wider range of use cases and applications. It also provides a stable and reliable platform for developers to integrate the model into their projects.

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

    -Fireworks AI is a partner in delivering the Stable Diffusion 3 models. They are described as the fastest and most reliable API platform in the market, ensuring efficient and dependable access to the models.

  • What improvements can users expect from Stable Diffusion 3 over previous versions?

    -Users can expect better prompt understanding, improved text-to-image generation, and enhanced capabilities in terms of language representation and image generation. The model is also expected to have better text understanding and spelling capabilities.

  • How does Stable Diffusion 3 handle complex prompts with multiple elements?

    -Stable Diffusion 3 has shown the ability to handle complex prompts with multiple elements, such as generating images based on detailed descriptions that include specific objects, settings, and actions.

  • What is the process for ensuring the safe and responsible use of Stable Diffusion 3?

    -The process involves taking reasonable steps to prevent misuse, starting from the training phase and continuing through testing, evaluation, and deployment. This includes collaboration with researchers, experts, and the community to ensure the model is used ethically and responsibly.

  • Is Stable Diffusion 3 available for local download and use?

    -No, Stable Diffusion 3 is not available for local download. It can only be accessed and used through the provided APIs, requiring users to rely on external tools and platforms for its application.

  • What does the future hold for Stable Diffusion 3 in terms of updates and improvements?

    -The developers are continuously working to improve the model, and users can anticipate seeing updates and enhancements in the upcoming weeks before the model's open release.

  • How does Stable Diffusion 3 perform in generating images with human-like elements?

    -Stable Diffusion 3 has demonstrated the ability to generate images with human-like elements, such as skin textures, in a more realistic manner compared to previous models, although it may still require some fine-tuning.

  • What is the significance of the multimodal diffusion transform in Stable Diffusion 3?

    -The multimodal diffusion transform uses a separate set of weights for images and language representation, which significantly improves the model's text understanding and spelling capabilities.

  • How does the human preference evaluation work in the context of Stable Diffusion 3?

    -Human preference evaluation involves generating multiple images and having evaluators choose the best one based on their preferences. This process helps in assessing the model's performance and guiding its improvements.

Outlines

00:00

πŸš€ Introduction to Stability AI and Stable Fusion 3

This paragraph introduces Stability AI as a significant player in the generative AI field, emphasizing its open-source nature compared to closed-source competitors like Dolly and Mid Journey. It highlights the professional quality of Stable Fusion, a tool that has been widely adopted by the community. The script announces the availability of Stable Fusion 3 and Stable Fusion 3 Turbo on the Stability AI developer platform API, in partnership with Fireworks AI, which is touted as the fastest and most reliable API platform. The speaker shares their experience with Stable Fusion 3, noting its previous limitations and the recent expansion of access. The paragraph also discusses the improved prompt understanding and text generation capabilities of the new model, as demonstrated by the examples provided on Twitter.

05:02

🌟 Showcase of Stable Fusion 3 Features and Safety Considerations

This paragraph delves into the specific features of Stable Fusion 3, showcasing its ability to generate images based on complex prompts. It highlights the model's improved text understanding and spelling capabilities, as seen in the examples of a wizard on a mountain and a red sofa in various settings. The paragraph also touches on the aesthetic and surreal nature of the generated images, such as the anthropomorphic turtle on a subway train and a man with a retro TV for a head. Additionally, it discusses the safety measures taken by Stability AI to prevent misuse, emphasizing the company's commitment to safe and responsible practices. The speaker shares their own testing experiences, noting the model's progress in skin rendering and the anticipation of further improvements in the upcoming weeks.

Mindmap

Keywords

πŸ’‘Stable Diffusion 3

Stable Diffusion 3 is an advanced generative AI model developed by Stability AI. It represents a significant upgrade from previous versions, offering improved prompt understanding and text-to-image generation capabilities. In the context of the video, it is highlighted as a professional tool with features like control Nets and face recognition, which are superior to its competitors. The script mentions that Stable Diffusion 3 is now available through an API, marking a new era in accessibility for the broader community.

πŸ’‘Open Source

Open Source refers to software or a model where the source code is made available to the public, allowing anyone to view, use, modify, and distribute it. In the video, it is mentioned that unlike some closed-source competitors, Stability AI has kept Stable Diffusion open source, which has been beneficial for the community. This openness fosters collaboration and innovation among developers and users.

πŸ’‘API (Application Programming Interface)

An API is a set of protocols and tools that allows different software applications to communicate with each other. In the context of the video, Stability AI has made Stable Diffusion 3 available through its developer platform API, which means users can access the model's capabilities by integrating it with their own applications via the API.

πŸ’‘Fireworks AI

Fireworks AI is mentioned as the partner of Stability AI for delivering the Stable Diffusion 3 models. It is described as the fastest and most reliable API platform in the market. The collaboration ensures that users can access the advanced features of Stable Diffusion 3 with high performance and reliability.

πŸ’‘Prompt Understanding

Prompt understanding is the ability of an AI model to correctly interpret and generate responses based on textual prompts provided by users. The video emphasizes that Stable Diffusion 3 has improved prompt understanding, allowing for more complex and detailed text-to-image generation, as demonstrated by the examples given, such as generating an image of a wizard on a mountain or a red sofa on a building with specific text.

πŸ’‘Text-to-Image Generation

Text-to-image generation is a process where an AI model creates visual content based on textual descriptions. The video discusses how Stable Diffusion 3 has enhanced this capability, enabling it to generate more accurate and detailed images from textual prompts compared to previous versions.

πŸ’‘Human Preference Evaluation

Human preference evaluation is a method used to assess the quality of AI-generated content by human judgment. The video mentions that Stable Diffusion 3 has been evaluated and found to be equal to or better than state-of-the-art systems in typography and prompt adherence based on this human preference evaluation. This process involves generating multiple images and having humans vote on the best one, providing feedback that helps improve the model.

πŸ’‘Multimodal Diffusion Transform

Multimodal diffusion transform is a technique used in AI models to handle different types of data, such as images and language. The video explains that Stable Diffusion 3 uses a separate set of weights for images and language representation, which improves text understanding and spelling capabilities. This is a significant advancement over previous versions, where spelling and text interpretation were noted areas for improvement.

πŸ’‘Safety and Responsible Practices

Safety and responsible practices refer to the measures taken by developers to prevent misuse of AI technologies. The video script includes a segment on safety, emphasizing that Stability AI is committed to safe and responsible practices. This involves taking reasonable steps to prevent misuse by bad actors, starting from the training phase and continuing through testing, evaluation, and deployment of the model.

πŸ’‘Continuous Improvement

Continuous improvement is the ongoing process of enhancing a product or service based on feedback and new developments. The video mentions that while Stable Diffusion 3 is available via API, Stability AI is continuously working to improve the model before its open release. Users can expect to see these improvements in the upcoming weeks, indicating a commitment to不断提升 (continuous improvement) the technology.

πŸ’‘Community

In the context of the video, the community refers to the group of developers, researchers, and users who are actively involved with the development and use of the Stable Diffusion model. The script highlights the importance of the community in the open-source development process, as they contribute to the model's improvement through testing, feedback, and innovation.

Highlights

Stable Diffusion 3 and Stable Diffusion 3 Turbo are now available on the Stability AI developer platform API.

Stability AI has partnered with Fireworks AI to deliver these models, which are the fastest and most reliable in the market.

Stability AI has been open source, which has been beneficial for the community and has set it apart from closed-source competitors.

Stable Diffusion 3 offers better prompt understanding and the ability to prompt for text, as demonstrated in examples on Twitter.

The new model is equal to or outperforms state-of-the-art text-image generation systems like Dolly 3 and Mid Journey V6 in typography and prompt adherence.

Human preference evaluations are used to determine the best images generated by the model.

The multimodal diffusion transform uses separate sets of weights for images and language representation, improving text understanding and spelling capabilities.

The model has been tested and shown to handle complex prompts with detailed text and imagery.

Stable Diffusion 3 has been very limited in availability but is now accessible to anyone through the API.

Examples provided include a wizard on a mountain, a red sofa on a building with graffiti, and an anthropomorphic turtle on a subway.

The model demonstrates the ability to generate images with pastel magical realism and vintage photo aesthetics.

Stable Diffusion 3 is expected to improve further with upcoming updates before its open release.

The model focuses on safe and responsible practices to prevent misuse by bad actors.

Stability AI is committed to continuous collaboration with researchers, experts, and the community for model improvement.

The model is not available for local download and must be used through APIs and separate tools/platforms.

The speaker has been testing Stable Diffusion 3 and found it to be impressive, especially in handling skin textures and complex prompts.

The community's fine-tuned models are expected to bring further improvements to Stable Diffusion 3.