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 the democratization of AI art. The release, available under non-commercial and creators licenses, offers a medium-sized model with 2 billion parameters, suitable for a range of devices from consumer PCs to enterprise GPUs. Known for photorealism and prompt adherence, this model is positioned to be the next-gen standard in text-to-image AI, with resource efficiency and fine-tuning capabilities that push the boundaries of generative AI. Collaborations with Nvidia and AMD, along with immediate support for Apple's M1 chip, show a commitment to accessibility across various platforms.

Takeaways

  • 😀 Stability AI has released the model weights for Stable Diffusion 3 as promised, available for non-commercial use without a special membership.
  • 🎉 The release is open and does not require a unique membership, but commercial use details are still being finalized.
  • 📅 The release date of Stable Diffusion 3 model weights is June 12th, as previously announced.
  • 🔍 The released model is a medium-sized version with two billion parameters, suitable for consumer PCs, laptops, and enterprise GPUs.
  • 💡 Stability AI emphasizes that this model is their most advanced text-to-image open model yet, indicating a focus on openness.
  • 🖼️ Photorealism, especially with hands and faces, is highlighted as a strong point of Stable Diffusion 3, potentially outperforming other models.
  • 📝 Prompt adherence and understanding of complex prompts and spatial relationships are key features of the new model.
  • 💻 The model's resource efficiency allows it to run on a wide range of hardware, from consumer-grade to enterprise-level GPUs, including AMD GPUs.
  • 💰 There are different licensing options available for commercial use and large-scale deployment, with a three-day trial available on the Stability platform.
  • 🔧 Fine-tuning is a significant strength of Stable Diffusion 3, with the model expected to be easier to customize for specific needs.
  • 🌐 Collaboration with both Nvidia and AMD is evident, with a Tensor RT optimized version available for AMD GPUs, showing the model's versatility across platforms.

Q & A

  • What significant event did Stability AI announce on June 12th?

    -Stability AI announced the release of their Stable Diffusion 3 model weights on June 12th.

  • Is the release of Stable Diffusion 3 model weights restricted to commercial use only?

    -No, the release is relatively open for non-commercial use, with details still being figured out for commercial applications.

  • What are the two license options mentioned for using Stable Diffusion 3 for commercial purposes?

    -The two license options mentioned are a non-commercial license and a low-cost creators license.

  • What is the parameter count of the released Stable Diffusion 3 model?

    -The released model comprises two billion parameters.

  • What is the significance of the model's size in relation to its usability?

    -The smaller size of the model makes it suitable for running on consumer PCs, laptops, and enterprise tier GPUs, potentially becoming the next generation standard for text-to-image models.

  • What are the key features of Stable Diffusion 3 that were highlighted in the script?

    -The key features highlighted are photorealism, prompt adherence, understanding of spatial relationships, and resource efficiency.

  • How does the script describe the difference in photorealism between Stable Diffusion and Mid Journey?

    -The script suggests that Stable Diffusion is better for photorealism, especially with hands and faces, while Mid Journey's outputs tend to have a dreamy quality.

  • What does the script suggest about the availability of the model weights for those interested in using them?

    -The model weights are available on Hugging Face, and interested users need to register to access them.

  • What is the collaboration aspect mentioned in the script regarding the model's optimization for different GPUs?

    -The script mentions a tensor RT optimized version of Stable Diffusion 3 medium for use on AMD GPUs, indicating a collaboration with both Nvidia and AMD.

  • What is the script's stance on the democratization of AI art tools like Stable Diffusion 3?

    -The script supports the idea of democratizing access to AI art tools, making them available to anyone regardless of the size or type of GPU they have.

  • How does the script address the topic of fine-tuning for Stable Diffusion 3?

    -The script acknowledges fine-tuning as a strong suit for Stable Diffusion 3 and expresses interest in seeing how easy it is to fine-tune the model given its dense training.

Outlines

00:00

🚀 Release of Stability AI's Stable Diffusion 3 Model

Stability AI has released the weights for their Stable Diffusion 3 model, honoring their commitment made months ago. The release, which occurred on June 12th, is open for non-commercial use, with commercial use details still being finalized. The model, which is a more accessible version of a larger model, is designed to run on consumer PCs, laptops, and enterprise GPUs. It is positioned as the next-gen standard for text-to-image models and is available under a non-commercial license and a low-cost creator's license. Stability AI emphasizes the model's photorealism, especially with hands and faces, its prompt adherence, and its understanding of spatial relationships. The model's resource efficiency is highlighted, allowing it to run on a wide range of hardware without the need for high-end GPUs or expensive services.

05:01

🔍 Stability AI's Financial Concerns and Model Fine-Tuning

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, pushing the boundaries of AI capabilities. The script discusses the potential of these tools and the company's transparency regarding the fine-tuning capabilities of the Stable Diffusion 3 model. The model is expected to be easier to fine-tune compared to other dense models like Llama 3. Previews of the model's capabilities with both simple and complex prompts are highlighted. Additionally, the script mentions a collaboration section with Nvidia and AMD, with a Tensor RT optimized version of the model available for AMD GPUs. The model's weights are available on Hugging Face, and there is an immediate implementation running on an Apple M1 chip, showcasing the rapid advancements in the industry and the push for accessibility across different platforms and hardware.

Mindmap

Keywords

💡Stable Diffusion 3

Stable Diffusion 3 is an advanced text-to-image model developed by Stability AI. It is significant in the video as it represents a milestone in AI-generated art, being released with the promise of openness for non-commercial use. The script discusses its release and potential for use across various platforms, highlighting its importance to the future of AI art.

💡Model Weights

In the context of machine learning, model weights are the parameters that the model learns during training. The release of Stable Diffusion 3's model weights is a pivotal moment as it allows users to run the model on their own systems, which is a central theme of the video discussing democratizing access to AI art tools.

💡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 profit. The video explains that the release of the model weights is open for non-commercial use, meaning artists can explore AI art without the constraints of commercial licensing.

💡Photorealism

Photorealism in AI art refers to the ability of a model to generate images that closely resemble real photographs. The video script emphasizes Stable Diffusion 3's strength in photorealism, especially with elements like hands and faces, showcasing its advanced capabilities in creating lifelike images.

💡Prompt Adherence

Prompt adherence is the model's ability to accurately interpret and generate images based on textual prompts provided by users. The script mentions this as a key feature of Stable Diffusion 3, allowing for complex prompts and understanding of spatial relationships in image generation.

💡Resource Efficiency

Resource efficiency pertains to the model's ability to run effectively on a variety of hardware, from consumer-grade PCs to enterprise-level GPUs. The video discusses how Stable Diffusion 3's medium size makes it suitable for diverse systems, thus being resource-efficient.

💡Fine-tuning

Fine-tuning is the process of further training a machine learning model on a specific task or dataset to improve its performance. The script highlights that fine-tuning has been a strong suit for Stable Diffusion 3, suggesting that the model is adaptable and can be customized for various needs.

💡Hugging Face

Hugging Face is a platform that provides resources and tools for machine learning models, including the availability of Stable Diffusion 3's model weights. The video mentions that the weights can be accessed on Hugging Face, indicating a key source for those interested in using the model.

💡Tensor RT

Tensor RT is an SDK by NVIDIA that is optimized for deep learning inference. The video script discusses the availability of a Tensor RT optimized version of Stable Diffusion 3, which is significant for users with NVIDIA GPUs looking to leverage the model's capabilities efficiently.

💡Nvidia and AMD

Nvidia and AMD are leading manufacturers of GPUs, which are vital for running AI models like Stable Diffusion 3. The video mentions a collaboration with these companies, indicating that the model is being optimized for a wide range of hardware, thus broadening its accessibility.

💡MLX Implementation

An MLX implementation refers to the ability to run the Stable Diffusion 3 model on Apple's M1 chip, showcasing cross-platform compatibility. The video script highlights this as an exciting development, allowing users with Apple devices to utilize the model without relying on Nvidia GPUs.

Highlights

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

The release does not require a special membership for access.

Stable Diffusion 3 is available on multiple platforms for use.

Stability AI is potentially moving forward with AMD as their primary GPU provider.

Stable Diffusion 3 Medium is Stability AI's most advanced text-to-image open model with two billion parameters.

The model is suitable for running on consumer PCs, laptops, and enterprise tier GPUs.

Weights are available under a non-commercial license and a low-cost creators license.

Stable Diffusion 3 offers photorealism, especially with hands and faces.

The model excels in prompt adherence and understanding complex spatial relationships.

Stable Diffusion 3 is resource efficient and can run on a wide range of GPUs.

Fine-tuning is a strong suit of Stable Diffusion 3, making it adaptable for various uses.

Stable Diffusion 3 weights are available on Hugging Face for those interested in using the model.

There is an MLX implementation that runs the model on an Apple M1 with reasonable speed.

Stable Diffusion 3 Medium has a Tensor RT optimized version for use on AMD GPUs.

Nvidia remains ahead in the generative AI space with tools like Tensor RT.

The democratization of AI art tools ensures accessibility regardless of GPU size or power.

Stable Diffusion 3 aims to be open-sourced and not behind paywalls, promoting accessibility.