Stable Diffusion 3 API Released.

Sebastian Kamph
18 Apr 202408:01

TLDRStability AI has announced the release of Stable Diffusion 3 and Stable Diffusion 3 Turbo through their developer platform API in partnership with Fireworks AI, known for its speed and reliability. The new models showcase improved prompt understanding and text-to-image generation capabilities, with examples demonstrating the ability to generate detailed and contextually relevant images from complex prompts. The release emphasizes safety and responsible use, with ongoing efforts to prevent misuse and continuous model improvement. While initially available via API, Stability AI hints at further enhancements before an open release, suggesting that users can expect even better performance in the near future.

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.
  • 🚀 The new API allows broader access to Stable Diffusion 3, which was previously limited to a smaller group of users.
  • 🎨 Improved prompt understanding and text generation capabilities are highlighted, with examples demonstrating the model's ability to interpret complex prompts.
  • 📈 Stable Diffusion 3 is claimed to be equal to or outperform state-of-the-art text-image generation systems like Dolly 3 and Midjourney V6 based on human preference evaluations.
  • 🔍 The model uses a new multimodal diffusion transform that has separate sets of weights for images and language representation, enhancing text understanding and spelling.
  • 🌐 The API is accessible to anyone, but the model itself is not available for local download and requires the use of external tools and platforms.
  • 🔧 Stability AI is committed to safe and responsible practices, taking steps to prevent misuse and continuously improving the model with integrity.
  • 📚 The training and deployment of the model involve collaboration with researchers, experts, and the community to ensure ongoing safety and improvement.
  • 🔄 The initial launch model is expected to improve before the open release, with updates anticipated in the coming weeks.
  • 🎉 The community is encouraged to fine-tune models, contributing to the potential for further improvements over versions 1.5 and SDXL.

Q & A

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

    -The release of Stable Diffusion 3 API signifies a new era in generative AI, providing a more accessible and advanced tool for the community. It offers better prompt understanding and text generation capabilities compared to its predecessors.

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

    -Stable Diffusion 3 is open-source and has been considered a more professional tool with features like control Nets and face wrapping abilities. It also has a better prompt understanding and text generation capabilities.

  • What does the partnership with Fireworks AI mean for the delivery of Stable Diffusion 3 models?

    -The partnership with Fireworks AI, known for being the fastest and most reliable API platform in the market, ensures that the Stable Diffusion 3 models are delivered efficiently and effectively to users.

  • What are some of the examples given to demonstrate the capabilities of Stable Diffusion 3?

    -Examples include generating an artwork of a wizard on a mountain, a red sofa on top of a white building with graffiti text, and a portrait photograph of an anthropomorphic turtle on a New York City subway train, showcasing the model's ability to understand and generate detailed prompts.

  • How does the new multimodal diffusion transform in Stable Diffusion 3 improve text understanding and spelling capabilities?

    -The new multimodal diffusion transform uses a separate set of weights for images and language representation, which enhances text understanding and spelling capabilities compared to previous versions of Stable Diffusion.

  • What safety measures are being taken to prevent the misuse of Stable Diffusion 3?

    -Safety measures include taking reasonable steps to prevent misuse from the beginning of the model's training, through testing, evaluation, and deployment. Continuous collaboration with researchers, experts, and the community is also part of ensuring safe and responsible practices.

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

    -No, Stable Diffusion 3 is not available for local download. It is only accessible through the API and requires the use of separate tools and platforms.

  • What improvements can we expect in the upcoming weeks from the Stable Diffusion 3 model?

    -The developers are continuously working to improve the model in advance of its open release, and users can anticipate seeing these improvements reflected in the API in the upcoming weeks.

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

    -Human preference evaluation involves generating multiple images and having individuals vote on which one they prefer. This process helps in assessing the model's performance based on human preferences and aids in the model's refinement.

  • What are the key takeaways from the examples provided in the transcript that demonstrate the capabilities of Stable Diffusion 3?

    -The key takeaways include the model's ability to generate detailed and contextually accurate images based on complex prompts, its improved text understanding, and its potential for creating aesthetically pleasing and realistic visuals.

  • What is the current status of Stable Diffusion 3 in terms of availability and future plans?

    -As of the transcript's information, Stable Diffusion 3 is available via API and is in the process of continuous improvement. The developers plan to release an updated version before making the model's weights publicly available.

  • How does the transcript suggest the community can contribute to the further development of Stable Diffusion 3?

    -The community can contribute by using the API, providing feedback, and potentially training fine-tuned models. Their work and feedback can help identify areas for improvement and drive the innovation of the model.

Outlines

00:00

🚀 Introduction to Stable Fusion 3 and Its Features

Stability AI has been a significant player in the generative AI space, particularly with its open-source approach compared to closed-source competitors. Stable Fusion has been recognized for its professional features, such as control Nets and face manipulation capabilities. The announcement of Stable Fusion 3 and its Turbo version on the Stability AI developer platform API, in partnership with Fireworks AI, marks a new era in AI technology. The script discusses the limited availability of Stable Fusion 3 so far and the upcoming broader access through the API. It also provides examples of the model's capabilities, such as creating artwork based on text prompts, demonstrating improved prompt understanding and text generation. The script highlights that Stable Fusion 3 is expected to match or surpass the performance of other state-of-the-art systems in typography and prompt adherence based on human preference evaluations.

05:02

🌟 Testing and Safety Measures of Stable Fusion 3

The script discusses the author's personal experience with Stable Fusion 3, noting its limitations and the creative workarounds developed due to its previous spelling inaccuracies. It presents various examples of the model's output, such as generating images of a red sofa in different settings with text prompts. The author also shares their own test results, including a neon cyberpunk city street image. A segment on safety emphasizes Stability AI's commitment to responsible practices, including steps to prevent misuse and continuous collaboration with experts and the community. The script concludes with information about the model's availability via API and the anticipation of improvements before its open release, hinting at potential advancements over previous versions.

Mindmap

Keywords

💡Stable Diffusion 3

Stable Diffusion 3 is an open-source generative AI model developed by Stability AI. It is a significant advancement in the field of AI, offering improved text-to-image generation capabilities. In the video, it is highlighted as a tool that has been tested and is now available for broader use through an API, marking a new era in AI technology.

💡Open Source

Open source refers to a type of software where the source code is available to the public to use, modify, and distribute. In the context of the video, Stability AI has kept its Stable Diffusion model open source, allowing the community to access, contribute to, and benefit from its development, which is a key differentiator from closed-source competitors.

💡API

API stands for Application Programming Interface, which is a set of protocols and tools for building software applications. In the video, Stability AI has partnered with Fireworks AI to deliver the Stable Diffusion 3 model through an API, enabling developers to integrate the AI's capabilities into their own applications.

💡Prompt Understanding

Prompt understanding is the ability of an AI model to interpret and generate responses based on textual prompts provided by users. The video discusses how Stable Diffusion 3 has improved prompt understanding, allowing for more complex and detailed image generation based on user input, such as creating an image of a wizard on a mountain or a red sofa on a building.

💡Human Preference Evaluation

Human preference evaluation is a process where human judges assess and rank generated content based on their preferences. It is used to gauge the quality and appeal of AI-generated images. The video mentions that Stable Diffusion 3 has been evaluated and found to be equal to or better than other state-of-the-art systems in terms of adherence to prompts and human preference.

💡Multimodal Diffusion Transform

Multimodal diffusion transform is a technique used in AI models to handle different types of data, such as images and text. The video explains that Stable Diffusion 3 uses this technique with separate sets of weights for images and language, enhancing the model's text understanding and spelling capabilities.

💡Safety and Responsible Practices

Safety and responsible practices refer to the ethical considerations and precautions taken by developers to prevent misuse of AI technology. The video emphasizes that Stability AI is committed to safe and responsible use of its AI models, including steps taken during training, testing, and deployment to prevent misuse by bad actors.

💡Fireworks AI

Fireworks AI is mentioned in the video as the partner platform chosen by Stability AI for delivering the Stable Diffusion 3 model through an API. It is described as the fastest and most reliable API platform in the market, indicating a high level of performance and dependability for users accessing the AI model.

💡Text-to-Image Generation

Text-to-image generation is the process by which AI models convert textual descriptions into visual images. This is a core feature of Stable Diffusion 3, as discussed in the video, where the model's ability to generate detailed and contextually accurate images from textual prompts is highlighted.

💡Control Nets

Control Nets are a feature of the Stable Diffusion model that allows users to guide the image generation process by specifying certain aspects of the image, such as the presence of specific objects or the style of the image. The video mentions Control Nets as one of the professional tools available in Stable Fusion, enhancing its capabilities.

💡Wizard on a Mountain

The phrase 'wizard on a mountain' is used in the video as an example of a complex prompt that Stable Diffusion 3 can interpret and generate an image from. It illustrates the model's ability to understand and visualize intricate concepts described in text.

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 for the fastest and most reliable API platform delivery.

Stability AI has been a key player in generative AI, with a focus on open-source models.

Stability Fusion 3 offers better prompt understanding and text generation capabilities.

The model has been tested and is now more accessible to a wider audience through the API.

Examples provided on Twitter demonstrate the model's ability to generate detailed and specific imagery based on prompts.

Stability Fusion 3 has been evaluated against state-of-the-art text-image generation systems like Dolly 3 and M Journey V6.

Human preference evaluations are used to assess the model's performance.

The new model uses a multimodal diffusion transform for improved text understanding and spelling capabilities.

Stability Fusion 3 has shown improvements in generating images with complex prompts and detailed elements.

The model is available for use via API, but not for local download.

Stability AI is committed to safe and responsible practices to prevent misuse of the model.

Continuous improvements are being made to the model in advance of its open release.

The community is expected to contribute to further innovation through fine-tuning models.

The model's limitations and the need for creative solutions around its spelling capabilities have been acknowledged.

The API's launch is part of an ongoing effort to make advanced generative AI tools more accessible.

The transcript includes a discussion on the ethical considerations and safety measures taken by Stability AI.

Viewers are encouraged to test the model's capabilities and share their findings with the community.