Stable Diffusion 3 API Released.

Sebastian Kamph
18 Apr 202408:01

TLDRStable Diffusion 3, an open-source generative AI tool developed by Stability AI, has been released and is now available through the Stability AI developer platform API. This marks a significant advancement in the field of AI, offering improved prompt understanding and text-image generation capabilities. The tool has been tested and compared favorably to other state-of-the-art systems like Dolly 3 and Mid Journey V6, demonstrating its ability to generate high-quality images based on complex prompts. Stability AI has partnered with Fireworks AI to deliver the models, ensuring fast and reliable access. The company emphasizes a commitment to safety and responsible use, with ongoing efforts to prevent misuse and improve the model. Users can expect further enhancements in the coming weeks before the model's open release.

Takeaways

  • 🚀 **Stable Diffusion 3 and 3 Turbo Release**: Stability AI has released Stable Diffusion 3 and Stable Diffusion 3 Turbo on their developer platform API.
  • 🤝 **Partnership with Fireworks AI**: Stability AI has partnered with Fireworks AI, which is described as the fastest and most reliable API platform in the market.
  • 📈 **Performance Claims**: The research paper for Stable Diffusion 3 reveals that it equals or outperforms state-of-the-art text-image generation systems like Dolly 3 and Mid Journey V6 in typography and prompt adherence based on human preference evaluation.
  • 📝 **Improved Text Understanding**: Stable Diffusion 3 shows better prompt understanding and the ability to prompt for text, which is a significant upgrade from previous versions.
  • 🧙 **Creative Examples**: The script provides examples of the AI's ability to generate images from complex prompts, such as a wizard on a mountain, a red sofa on a building, and an anthropomorphic turtle on a subway.
  • 🔍 **Prompt Adherence**: The model is designed to adhere closely to the given prompts, as demonstrated by the accuracy in the examples provided.
  • 🔠 **Enhanced Spelling Capabilities**: The new model has improved text understanding and spelling capabilities compared to previous versions, addressing previous limitations.
  • 🎨 **Artistic Flexibility**: The AI can generate images with various artistic styles, such as pastel painting and embroidery, showcasing its flexibility in artistic expression.
  • 🧪 **Testing and Iteration**: The speaker has been testing the model for a few weeks and shares insights from their personal experience with the tool.
  • 🔒 **Safety and Responsibility**: Stability AI emphasizes safe and responsible practices to prevent misuse, with ongoing efforts to improve the model's integrity.
  • ⏱️ **Continuous Improvement**: The model is expected to see ongoing improvements before its open release, with updates anticipated in the coming weeks.

Q & A

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

    -The release of the Stable Diffusion 3 API marks a new era in generative AI, making it more accessible to a broader audience. It offers improved prompt understanding and text generation capabilities compared to previous versions.

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

    -Stable Diffusion 3 is open-source and has been noted as a more professional tool with advanced features such as control Nets and face recognition abilities, which are not commonly found in its closed-source competitors.

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

    -Key features include better prompt understanding, the ability to generate images from complex textual prompts, and improved text and spelling capabilities.

  • Who is the partner that Stability AI is working 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.

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

    -The 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 is the process Stability AI follows to ensure the safe and responsible use of Stable Diffusion 3?

    -Stability AI takes reasonable steps to prevent misuse by bad actors, starting from the training of the model and continuing through testing, evaluation, and deployment. They also collaborate with researchers, experts, and the community to ensure integrity in innovation.

  • How can users access and use Stable Diffusion 3?

    -Users can access Stable Diffusion 3 through the Stability AI developer platform API. It is not available for local download and requires the use of separate tools and platforms.

  • What kind of improvements can users expect in the future releases of Stable Diffusion 3?

    -Users can anticipate ongoing improvements to the model in the upcoming weeks, with an updated version expected before the full open release of the model.

  • What is the role of human preference evaluation in assessing the performance of Stable Diffusion 3?

    -Human preference evaluation is a method where generated images are rated by human judges to determine the best output. This feedback helps in assessing the model's adherence to prompts and its overall performance.

  • How does the example of 'a red sofa on top of a white building with graffiti text' demonstrate the capabilities of Stable Diffusion 3?

    -The example showcases the model's ability to understand and generate detailed prompts, including the specific location of objects and the inclusion of text within the generated image.

  • What is the significance of the 'neon cyberpunk city street' example mentioned in the transcript?

    -This example is significant as it demonstrates the model's ability to handle complex and stylistic prompts, generating images that match the described aesthetic with a reasonable level of detail and realism.

  • How does the transcript suggest that the community will contribute to the future development of Stable Diffusion 3?

    -The transcript suggests that the community's involvement, through fine-tuning models and providing feedback, will play a crucial role in the further development and improvement of Stable Diffusion 3.

Outlines

00:00

🚀 Introduction to Stable Fusion 3's Release and Features

Stable AI has been a significant player in generative AI, particularly with its open-source approach compared to closed-source competitors. Stable Fusion has been noted for its professional 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 in generative AI. The script discusses the improved prompt understanding and text capabilities of Stable Fusion 3, as demonstrated through various examples shared on Twitter. The model is claimed to be equal to or better than state-of-the-art text-image generation systems based on human preference evaluations. It also introduces a new multimodal diffusion transform that enhances text understanding and spelling capabilities.

05:02

🌟 Testing Stable Fusion 3 and its Safety Measures

Despite previous issues with spelling, Stable Fusion has been creatively adapted by users. The script shares more examples of generated images, such as a red sofa in a garden and an embroidered artwork, showcasing the model's improved capabilities. The speaker has also tested the model, prompting for a neon cyberpunk city street, and discusses the model's skin rendering quality. The paragraph emphasizes the importance of safety and responsible practices in AI development. Stable AI is committed to preventing misuse and continuously works on improving the model. It is mentioned that while the model is available via API, improvements are ongoing, and an updated version is expected before the model's open release. The community's role in fine-tuning models is acknowledged, and the video concludes with an invitation for viewers to share their thoughts on the improvements over previous versions.

Mindmap

Keywords

💡Stable Diffusion 3

Stable Diffusion 3 is an open-source generative AI model developed by Stability AI. It represents a significant advancement in the field of AI, particularly in text-to-image generation. The model is designed to understand and generate images from complex textual prompts more effectively than its predecessors. 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 generative AI technology.

💡Open Source

Open source refers to a type of software where the source code is made available to the public, allowing anyone to view, use, modify, and distribute the software. In the context of the video, Stability AI has kept its Stable Diffusion models open source, which has been beneficial for the community as it encourages collaboration, innovation, and transparency.

💡API (Application Programming Interface)

An API is a set of rules and protocols that allows different software applications to communicate and interact with each other. In the video, Stability AI has made Stable Diffusion 3 available through an API, which means that developers can integrate the model into their own applications to generate images from text prompts without needing to download the model itself.

💡Fireworks AI

Fireworks AI is mentioned in the video 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. This partnership suggests that users can expect high performance and dependability when using the Stable Diffusion 3 API.

💡Prompt Understanding

Prompt understanding is the ability of an AI model to interpret and act on the textual instructions provided by a user. In the context of the video, Stable Diffusion 3 is said to have improved prompt understanding, allowing it to generate images that are more aligned with the textual descriptions given by the users. This is demonstrated through various examples in the video where the model successfully creates images based on detailed prompts.

💡Text-to-Image Generation

Text-to-image generation is a process where an AI model converts textual descriptions into visual images. It's a core function of the Stable Diffusion 3 model and the focus of the video. The model's ability to generate high-quality images from text prompts is a significant aspect of its appeal and utility in creative and professional applications.

💡Human Preference Evaluation

Human preference evaluation is a method used to assess the quality of AI-generated content by gathering human feedback. In the video, it is mentioned that Stable Diffusion 3 has been evaluated based on human preferences, which involves generating multiple images and having humans vote on the best one. This process helps ensure that the model's outputs are aligned with human aesthetic standards.

💡Multimodal Diffusion Transform

Multimodal diffusion transform refers to a technique used within 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 the model's text understanding and spelling capabilities.

💡Safety and Responsible Practices

Safety and responsible practices are important considerations when developing and deploying AI models. The video mentions that Stability AI is committed to safe and responsible practices, which includes taking steps to prevent misuse of the Stable Diffusion 3 model. This involves ongoing collaboration with researchers, experts, and the community to ensure the model is used ethically.

💡Improvements and Updates

The video script indicates that while the Stable Diffusion 3 model is available via API, Stability AI is continuously working on improvements. Users can anticipate seeing updates to the model in the coming weeks, which will enhance its capabilities before the open release of the model's weights.

💡Community

The community refers to the group of users, developers, and enthusiasts who are actively involved with the Stable Diffusion project. In the video, the community is highlighted as playing a significant role in testing, providing feedback, and potentially training fine-tuned models. The community's contributions are seen as valuable for the ongoing development and success of the Stable Diffusion 3 model.

Highlights

Stability AI has released Stable Diffusion 3 API, marking a new era in generative AI.

Stable Diffusion has been open source, fostering a strong community and offering professional tools.

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

Fireworks AI, known for speed and reliability, has partnered with Stability AI for API delivery.

The API provides broader access, previously limited to a select few.

Stable Diffusion 3 demonstrates improved prompt understanding and text generation capabilities.

Examples on Twitter showcase the model's ability to create detailed and contextually relevant images.

The model has been evaluated against human preferences, outperforming or equaling state-of-the-art systems like Dolly 3 and M Journey V6.

New multimodal diffusion transform separates image and language representations, enhancing text understanding and spelling.

Stable Diffusion 3 is expected to improve further before its open release, with updates anticipated in the coming weeks.

The model focuses on safety and responsible practices, with ongoing efforts to prevent misuse.

Stability AI emphasizes integrity in innovation, collaborating with researchers and the community for model improvement.

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

Users have been testing the model, reporting realistic skin tones and textures in generated images.

The model's ability to handle complex prompts with multiple elements is a significant advancement.

Stable Diffusion 3's performance is expected to surpass that of previous versions with community-fine-tuned models.

The community's contributions are acknowledged for their role in enhancing the model's capabilities.

The release of Stable Diffusion 3 signifies a step forward in generative AI technology and community engagement.