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 on their developer platform API, marking a significant advancement in generative AI. The models are available through a partnership with Fireworks AI, known for its speed and reliability. Early access users have reported improved prompt understanding and text generation capabilities, with examples demonstrating the model's ability to create detailed and contextually relevant images from complex prompts. The company emphasizes a commitment to safety and responsible use, with ongoing efforts to prevent misuse and continuous model improvement. While the model is currently accessible via API, Stability AI hints at further enhancements before a full open release in the coming weeks.

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, known for being the fastest and most reliable API platform in the market.
  • πŸš€ The new era of Stable Diffusion 3 promises better prompt understanding and improved text-to-image generation capabilities.
  • πŸ“ˆ Stable Diffusion 3 is said to be equal to or outperform state-of-the-art systems like Dolly 3 and Midjourney V6 in typography and prompt adherence.
  • πŸ” The model uses a new multimodal diffusion transform that enhances text understanding and spelling capabilities.
  • 🎨 The API allows users to generate images based on complex prompts, including detailed scenarios and settings.
  • πŸ“š Human preference evaluations are used to assess the quality of generated images, simulating a voting system to determine the best outcomes.
  • πŸ”’ Stability AI is committed to safe and responsible practices, taking steps to prevent misuse of Stable Diffusion 3.
  • πŸ”§ The model is continuously being improved and users can expect to see updates before the open release of the model's weights.
  • 🌐 The API is currently the only way to access Stable Diffusion 3, and it is not available for local download or use.
  • πŸ“ˆ The community's fine-tuning of the models is expected to bring further improvements to the capabilities of Stable Diffusion 3.

Q & A

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

    -The release of Stable Diffusion 3 API marks a new era in generative AI, making it more accessible to a broader audience through the Stability AI developer platform API. It signifies the continued commitment to open-source development and community involvement.

  • How does Stable Diffusion 3 compare to its competitors like Dolly and Midjourney?

    -Stable Diffusion 3 is noted for its open-source nature and professional features, such as control Nets and face recognition capabilities, which are considered superior to those of its closed-source competitors.

  • What are the key features of Stable Diffusion 3 that have been highlighted in the transcript?

    -Key features highlighted include better prompt understanding, the ability to prompt for text, and improved text understanding and spelling capabilities compared to previous versions.

  • Who is Stability AI partnering with to deliver the Stable Diffusion 3 models?

    -Stability AI has partnered with Fireworks AI, which is described as the fastest and most reliable API platform in the market.

  • What does the phrase 'multimodal diffusion transform' refer to in the context of Stable Diffusion 3?

    -The multimodal diffusion transform refers to a feature of Stable Diffusion 3 that uses a separate set of weights for images and language representation, enhancing text understanding and spelling capabilities.

  • How does Stable Diffusion 3 handle the generation of images based on textual prompts?

    -Stable Diffusion 3 has improved prompt understanding, allowing for more complex and detailed textual prompts to be translated into generated images, as demonstrated by the examples provided in the transcript.

  • What is the process for evaluating the performance of Stable Diffusion 3?

    -The performance is evaluated through human preference evaluation, which involves generating multiple images and having human evaluators vote on the best one, simulating a blind testing scenario.

  • How does Stability AI ensure the responsible use of Stable Diffusion 3?

    -Stability AI ensures responsible use by taking reasonable steps to prevent misuse, starting from the training phase and continuing through testing, evaluation, and deployment. They collaborate with researchers, experts, and the community to maintain integrity and safety.

  • 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 can users expect in the future regarding the development of Stable Diffusion 3?

    -Users can expect ongoing improvements to the model in the coming weeks, with an updated version anticipated before the model's open release.

  • How does the community play a role in the development and fine-tuning of Stable Diffusion 3?

    -The community plays a significant role by testing the model, providing feedback, and potentially training fine-tuned models, which contributes to the overall improvement and evolution of Stable Diffusion 3.

  • What are some examples of the types of images Stable Diffusion 3 can generate, as mentioned in the transcript?

    -Examples include artwork of a wizard on a mountaintop, a red sofa on top of a white building with graffiti, a portrait of an anthropomorphic turtle on a subway train, a man with a retro TV for a head in the desert, and a cardboard box with a face on a theater stage.

Outlines

00:00

πŸš€ Introduction to Stable Fusion 3 and Its Open Source Impact

Stability AI has been a prominent figure in the generative AI space, particularly with its open-source approach compared to closed-source competitors like Dolly and Midjourney. Stable Fusion has been recognized as a professional tool with advanced features such as control Nets and face manipulation capabilities. The launch of Stable Fusion 3 and its Turbo version on the Stability AI developer platform API, in partnership with Fireworks AI, marks a new era. The new version promises better prompt understanding and text generation capabilities. The script mentions that Stable Fusion 3 has been limited in access but is now available to a wider audience through the API. Examples provided on Twitter demonstrate the model's ability to generate images based on complex prompts. The research paper also indicates that Stable Fusion 3 equals or surpasses other state-of-the-art systems in typography and prompt adherence based on human preference evaluations. The model uses a new multimodal diffusion transform to enhance text understanding and spelling, which are significant improvements over previous versions.

05:02

🌟 Testing Stable Fusion 3 and Its Safety Measures

The speaker has had access to Stable Fusion 3 for a few weeks and shares their testing experiences. They highlight the model's improved capabilities in generating images from prompts, showcasing examples like a wizard on a mountain and a red sofa on a building with text. The speaker also discusses their own tests, including generating a neon cyberpunk city street scene. A segment on safety emphasizes Stability AI's commitment to responsible practices to prevent misuse. The company focuses on safety from the training phase through deployment, collaborating with researchers and the community. Although the model is available via API, it is not available for local download, and users must rely on external platforms and tools. The speaker anticipates further improvements before the model's open release and expresses excitement about the potential for community-trained fine-tuned models.

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 its predecessors, offering improved prompt understanding and text-to-image generation capabilities. The model is designed to generate high-quality images from textual descriptions, which is a key focus of the video's discussion.

πŸ’‘Open Source

Open Source refers to the practice of making software or content freely available for users to use, modify, and distribute. In the context of the video, Stability AI has kept Stable Diffusion open source, allowing the community to contribute and benefit from the technology, which is a significant advantage over closed-source competitors.

πŸ’‘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, it is mentioned that Stable Diffusion 3 is available through an API, meaning users can access its capabilities by integrating it into their own applications.

πŸ’‘Fireworks AI

Fireworks AI is mentioned as the partner platform for delivering the Stable Diffusion 3 models. It is described as the fastest and most reliable API platform in the market, indicating that it plays a crucial role in providing high-performance access to the AI model for developers.

πŸ’‘Prompt Understanding

Prompt understanding is a feature of AI models where the model interprets and acts upon the textual prompts provided by users. In the context of Stable Diffusion 3, improved prompt understanding allows for more accurate and nuanced image generation based on complex textual descriptions, which is demonstrated through various examples in the video.

πŸ’‘Text-to-Image Generation

Text-to-image generation is the process by which an AI model converts textual descriptions into visual images. This is the core functionality of Stable Diffusion 3, and the video showcases how the model can generate detailed and contextually relevant images from textual prompts.

πŸ’‘Human Preference Evaluation

Human preference evaluation is a method used to assess the quality of AI-generated content by gathering human feedback. It involves generating multiple images and having humans vote on their preference, which helps in training and improving the AI model. The video mentions that Stable Diffusion 3 has been evaluated based on human preferences, indicating a focus on user satisfaction.

πŸ’‘Multimodal Diffusion Transform

Multimodal Diffusion Transform is a technical term referring to a type of AI model architecture that handles multiple types of data, such as images and text. The video discusses how Stable Diffusion 3 uses this approach to improve text understanding and spelling capabilities, enhancing the model's performance.

πŸ’‘Safety and Responsible Practices

Safety and responsible practices are important considerations when developing and deploying AI models. The video emphasizes that Stability AI is committed to preventing misuse of their technology and works continuously with researchers, experts, and the community to ensure the model is used ethically and responsibly.

πŸ’‘Community

The community refers to the group of users, developers, and contributors who actively engage with and contribute to the development of the Stable Diffusion model. The video highlights the importance of the community in testing, providing feedback, and potentially fine-tuning the model for specific use cases.

πŸ’‘Fine-tuned Models

Fine-tuned models are AI models that have been further trained or adjusted on a specific task or dataset to improve their performance. The video suggests that the community's involvement in fine-tuning Stable Diffusion 3 could lead to significant improvements tailored to user needs.

Highlights

Stability AI has been a key player in the generative AI game.

Stable Diffusion has been kept open source, benefiting the community.

Stable Diffusion 3 is now available through the Stability AI developer platform API.

Partnership with Fireworks AI, known for its fast and reliable API platform.

Stable Diffusion 3 offers better prompt understanding and text generation capabilities.

Examples on Twitter showcase the model's ability to generate detailed images from prompts.

The model is equal to or outperforms state-of-the-art text-image generation systems.

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

Stable Diffusion 3 uses a new multimodal diffusion transform for improved text understanding.

The model has shown improvements in spelling capabilities over previous versions.

Stable Diffusion 3 is not available for local download and must be used through APIs.

The model is continuously being improved in advance of its open release.

Users can expect to see an updated version of the model in the upcoming weeks.

The community's fine-tuned models are anticipated to bring further improvements.

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

The company is working on integrity and innovation in improving the model.

Stable Diffusion 3 is expected to surpass the capabilities of versions 1.5 and SDXL.

The API's current state offers a good base model for generating realistic images.

Safety measures are in place from the training phase through deployment.