Stable Diffusion 3: Model Weights Released! The Future of AI Art is Open!

Ai Flux
12 Jun 202409:33

TLDRStability AI has released the model weights for Stable Diffusion 3, marking a significant step in AI art accessibility. The model, while a smaller version of the final release, is now available for non-commercial use and offers advanced text-to-image capabilities with 2 billion parameters. It boasts photorealism, prompt adherence, and resource efficiency, making it suitable for a range of devices. The release includes support for Nvidia and AMD GPUs, with an optimized version for Tensor RT. The weights are available on Hugging Face, and the community is already exploring implementations on Apple's M1 chips, showcasing the rapid advancements in generative AI.

Takeaways

  • 📅 Stability AI released the Stable Diffusion 3 model weights on June 12th, as promised.
  • 🚀 The release is open for non-commercial use, with details for commercial use still being finalized.
  • 🌐 Multiple platforms have released tools to utilize Stable Diffusion 3, some potentially better than Stability AI's own offerings.
  • 🔑 The model weights are available under a non-commercial license and a low-cost creator's license for commercial use.
  • 💡 Stability AI's Stable Diffusion 3 Medium is their most advanced text-to-image open model with two billion parameters.
  • 💻 Designed to run on consumer PCs, laptops, and enterprise GPUs, making it suitable for the next generation of text-to-image models.
  • 🎨 Emphasizes photorealism, especially with hands and faces, and prompt adherence for complex prompts and spatial relationships.
  • 🛠️ Resource efficiency allows the model to run on a wide range of hardware, from RTX 3060 to high-end GPUs, without the need for expensive services.
  • 🔧 Fine-tuning has been a strong suit of Stable Diffusion 3, and the model is expected to be easier to fine-tune than some other dense models.
  • 🤝 Collaboration with Nvidia and AMD is highlighted, with a Tensor RT optimized version for AMD and continued support for Nvidia GPUs.
  • 📡 The weights are available on Hugging Face, requiring registration but accessible for those interested in using the model.
  • 🍎 On the same day of release, an MLX implementation for Apple M1 was available, showcasing the model's cross-platform capabilities.

Q & A

  • What significant event occurred on June 12th related to Stability AI?

    -On June 12th, Stability AI released the model weights for Stable Diffusion 3, fulfilling their promise and making it available for non-commercial use.

  • What is the significance of the release being open for non-commercial use?

    -The open release allows individuals and companies to use the Stable Diffusion 3 model on their own systems without needing a special membership, which encourages broader adoption and experimentation with the technology.

  • What are the two types of licenses mentioned for using Stable Diffusion 3 for commercial purposes?

    -The two types of licenses mentioned are the non-commercial license and the low-cost creators license, with the latter being used for making money from the generated content.

  • How does the size of the Stable Diffusion 3 model affect its usability?

    -The model's smaller size makes it suitable for running on consumer PCs, laptops, and enterprise-tier GPUs, making it accessible for a wide range of users.

  • What are some of the key features of Stable Diffusion 3 that make it stand out?

    -Key features include photorealism, prompt adherence, understanding complex prompts with multiple subjects or varying styles, and resource efficiency, allowing it to run on a range of hardware from high-end to more modest GPUs.

  • What is the current status of the collaboration between Stability AI and AMD?

    -While there is no confirmation of an acquisition, Stability AI has shown interest in potentially moving forward with AMD as their primary GPU provider, and a Tensor RT optimized version of Stable Diffusion 3 is available.

  • How does the release of Stable Diffusion 3 impact the generative AI space?

    -The release democratizes access to advanced AI art generation, allowing more users to create high-quality images without needing to invest in expensive infrastructure or services.

  • What is the role of fine-tuning in the capabilities of Stable Diffusion 3?

    -Fine-tuning is a significant strength of Stable Diffusion 3, allowing users to adapt the model to specific needs or workflows, enhancing its versatility and effectiveness.

  • How can users access the Stable Diffusion 3 model weights?

    -The model weights are available on Hugging Face, where users need to register to access them, similar to other models on the platform.

  • What is the significance of the model being able to run on Apple M1 chips?

    -The ability to run Stable Diffusion 3 on Apple M1 chips without the need for Nvidia GPUs expands the accessibility of the model to Mac users and demonstrates the rapid progress in cross-platform AI capabilities.

  • What is the potential impact of the open release of Stable Diffusion 3 on the AI art community?

    -The open release could lead to a surge in creativity and innovation within the AI art community, as more artists gain access to powerful generative tools without significant financial barriers.

Outlines

00:00

🚀 Release of Stable Diffusion 3 Model by Stability AI

Stability AI has released the Stable Diffusion 3 model weights as promised on June 12th, making them available for non-commercial use without the need for a special membership. The model is described as an advanced text-to-image open model with two billion parameters, suitable for consumer PCs, laptops, and enterprise GPUs. It is noted to be a smaller version of the final model, indicating potential future releases. The release is significant as it allows the public to use the model safely and opens up possibilities for integration with other platforms. Stability AI also offers a trial period for using the model through their internal API and continues to operate Stable Artis on Discord. The model's strengths, such as photorealism, prompt adherence, and understanding spatial relationships, are highlighted, suggesting its potential for fine-tuning and customization in various workflows.

05:01

💡 Stability AI's Financial Concerns and Collaboration with Tech Giants

Despite rumors of Stability AI running out of funds due to a lack of customers, the company has continued to develop and release powerful tools like Stable Diffusion 3. The model's fine-tuning capabilities are emphasized, suggesting that it may be easier to adapt than other models like llama 3. Stability AI has also revealed collaborations with Nvidia and AMD, with a tensor RT optimized version of the model available for AMD GPUs. This collaboration is significant as it shows the company's commitment to making AI tools accessible across different platforms. The release of the model's weights on hugging face and the rapid development of an implementation for Apple's M1 chip demonstrate the industry's rapid advancement and the push for democratizing access to AI tools. The video script also hints at a potential live stream to demonstrate the model's capabilities and invites viewer feedback and interest in further exploration of the tool.

Mindmap

Keywords

Stable Diffusion 3

Stable Diffusion 3 is an advanced text-to-image AI model developed by Stability AI. It is central to the video's theme as it represents the future of AI art being made accessible to the public. The model, which is said to be safer for public use, is released under non-commercial and low-cost creator licenses, indicating its potential for both personal and commercial applications in generating images from textual descriptions.

AMD

AMD, or Advanced Micro Devices, is a company mentioned in the script as potentially having a partnership with Stability AI. The script suggests that AMD may be the primary hardware provider for Stability AI's future endeavors, highlighting the importance of hardware in the development and execution of AI models like Stable Diffusion 3.

Non-commercial use

Non-commercial use refers to the utilization of a product, in this case, the Stable Diffusion 3 model, for purposes other than generating revenue. The script explains that the model's release is open for non-commercial use, allowing individuals and entities to experiment with and utilize the AI for personal projects without the need for a commercial license.

Photo realism

Photo realism is a term used to describe the ability of an AI model to generate images that closely resemble real photographs. In the context of the video, Stable Diffusion 3 is praised for its photo realism, particularly in rendering hands and faces, which is a significant achievement in the field of AI-generated art.

Prompt adherence

Prompt adherence refers to an AI model's ability to accurately interpret and respond to the textual prompts given by users. The script highlights this feature of Stable Diffusion 3, noting its capacity to understand complex prompts and spatial relationships, which enhances the control and specificity users can achieve in their image generation.

Resource efficiency

Resource efficiency pertains to the model's ability to operate effectively with minimal computational resources. The video emphasizes that Stable Diffusion 3 is designed to run on a wide range of hardware, from consumer-grade PCs to enterprise-level GPUs, making it accessible to a broader audience.

Fine-tuning

Fine-tuning is the process of adjusting a pre-trained AI model to better suit specific tasks or datasets. The script mentions that Stable Diffusion 3 is open to fine-tuning, suggesting that users can customize the model to better fit their particular needs or to enhance its performance in generating certain types of images.

Hugging Face

Hugging Face is a platform where the weights of Stable Diffusion 3 are made available for users to access. It represents a community and marketplace for AI models, and in the context of the video, it serves as a distribution point for the model, allowing users to register and download the model for their use.

Tensor RT

Tensor RT is an SDK by Nvidia that is optimized for deep learning inference. The script mentions a Tensor RT optimized version of Stable Diffusion 3, indicating that the model can be run efficiently on Nvidia GPUs, leveraging the performance benefits of this technology for faster and more effective AI image generation.

MLX implementation

MLX refers to a machine learning framework that can run on Apple's M1 chip. The script notes an MLX implementation of Stable Diffusion 3, demonstrating the model's compatibility with Apple's hardware and its ability to perform AI image generation tasks on non-Nvidia platforms, broadening its accessibility.

Democratizing access

Democratizing access means making a tool or technology available to a wide range of users, regardless of their level of expertise or resources. The video discusses the philosophy behind Stability AI's release of Stable Diffusion 3, emphasizing the company's goal to make AI art creation tools accessible to everyone, not just those with specialized knowledge or high-end hardware.

Highlights

Stable Diffusion 3 model weights have been released for non-commercial use.

AMD may collaborate with Stability AI as their primary cloud provider in the future.

The released model is a smaller version of the final model, with 2 billion parameters.

Stable Diffusion 3 is optimized for consumer PCs, laptops, and enterprise GPUs.

The model is available under a non-commercial license and a low-cost creators license.

Stability AI offers a three-day trial of Stable Diffusion 3 through their internal API.

Stable Diffusion 3 is praised for its photorealism, especially in hands and faces.

The model shows strong prompt adherence and understanding of complex prompts and spatial relationships.

Resource efficiency is a key feature, allowing the model to run on a wide range of GPUs.

Stable Diffusion 3 is known for its fine-tuning capabilities.

The model is available on Hugging Face for registered users.

An MLX implementation allows running Stable Diffusion 3 on Apple M1 chips.

Stable Diffusion 3 aims to democratize AI art access across different GPU types.

Nvidia, Apple, and AMD are positioned as key players for running these models.

Tensor RT optimized version of Stable Diffusion 3 medium is available for AMD GPUs.

The release of Stable Diffusion 3 weights marks the end of a chapter in AI art accessibility.

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