Stable Diffusion 3 is out! How to start using it!

Endangered AI
19 Apr 202407:54

TLDRStable Diffusion 3, a new AI image generator, is now available through an API on the Stability AI website. Despite facing financial challenges, Stability AI plans to release the model to the open-source community soon, requiring a subscription. The video provides a tutorial on using Stable Diffusion 3 with Comfy UI, showcasing the model's capabilities, including text generation and image manipulation. The creator is excited about the potential for the open-source community to enhance the model further, despite some initial disappointments with the output quality.

Takeaways

  • 🎉 Stable Diffusion 3 is now available as an API through the Stability AI website.
  • 💸 To access Stable Diffusion 3, a Stability AI subscription is required due to the company's financial issues.
  • 📢 The open source community was initially concerned about not getting access to Stable Diffusion 3, but it will be released with a subscription fee.
  • 🛠️ Getting started with Stable Diffusion 3 is easier on Comfy UI than on Automatic 1111, as there is no plugin available for the latter.
  • 🔍 After updating Comfy UI, users can install the Stability API nodes for Comfy UI to start using Stable Diffusion 3.
  • 🌐 The current API-based access means the model runs on any computer by sending prompts to the Stability AI server.
  • 🚧 The API nodes are limited, and there's not much that can be done with the current offerings.
  • 🌟 Once the model is open-sourced, the community is expected to develop more advanced nodes and technologies.
  • 🖼️ Stable Diffusion 3 has shown impressive text generation and the ability to understand natural language prompts.
  • 🤔 There are still some issues with the model, such as occasional inaccuracies with hands in images.
  • 🔑 Users need to input their API key to use Stable Diffusion 3, but the key used in the demonstration has been deleted.
  • 🔄 The model can take an image input, which seems to act as an IP adapter or control net, allowing for subtle manipulations based on prompts.

Q & A

  • What is Stable Diffusion 3 and why is it significant?

    -Stable Diffusion 3 is an AI image generator that has been released as an API through the Stability AI website. It is significant because it represents an advancement in AI-generated image technology and will be released to the open source community, despite some financial challenges faced by Stability AI.

  • How can one access Stable Diffusion 3 currently?

    -Currently, Stable Diffusion 3 is accessible through an API provided by Stability AI. Users need a Stability AI subscription to use it.

  • What are the financial issues Stability AI is facing?

    -The script does not detail the specific financial issues Stability AI is facing, but it mentions that they have had to make a prompt decision to raise funds while staying true to their open source roots.

  • Why is there a subscription fee for accessing Stable Diffusion 3?

    -The subscription fee is introduced as a way for Stability AI to raise funds to cover the costs of research and running the company, while still making the model available to the open source community.

  • How can users start using Stable Diffusion 3 with Comfy UI?

    -To start using Stable Diffusion 3 with Comfy UI, users should update Comfy UI, install the Stability API nodes for Comfy UI, and then use the nodes to input prompts and generate images using the API.

  • What are the limitations of using Stable Diffusion 3 through API nodes?

    -The limitations include the inability to use certain features until the model is released to the open source community, and the nodes being very limited in terms of functionality compared to what might be available once the model is open source.

  • What can be expected once the Stable Diffusion 3 model is released to the open source community?

    -Once the model is released, the community is expected to iterate on it, potentially developing new nodes and technologies that can take advantage of the model's capabilities.

  • What is the current status of the image quality and text generation in Stable Diffusion 3?

    -The text generation in Stable Diffusion 3 is impressive, and the overall image quality is great, although there are still issues with certain elements like hands.

  • How does feeding an image into Stable Diffusion 3 affect the output?

    -Feeding an image into Stable Diffusion 3 can act as an IP adapter or control net, influencing the output to maintain certain elements of the input image while allowing for manipulation through prompts.

  • What is the community's reaction to the release of Stable Diffusion 3?

    -The script mentions that some people are unhappy with the quality of the output, but others are excited about the potential once the model is released to the open source community.

  • What is the author's opinion on the subscription fee for accessing the open source model?

    -The author understands the need for a subscription fee as a way for Stability AI to cover costs, and believes it's not the worst solution as long as the community continues to have access to the models.

Outlines

00:00

🚀 Introduction to Stable Diffusion 3 API

The video script introduces Stable Diffusion 3, a new image generator that is now available as an API through Stability AI's website. Despite facing financial issues, Stability AI plans to release the model to the open-source community, albeit with a subscription fee. The script outlines the process of getting started with Stable Diffusion 3 using Comfy UI, highlighting its ease of use and the limitations due to the current API-only availability. The speaker also expresses excitement for the potential of the model once it is in the hands of the open-source community and mentions sharing more images on Instagram and Discord.

05:01

🔍 Experimenting with Stable Diffusion 3's Image and Text Features

This paragraph delves into the experimental aspects of Stable Diffusion 3, focusing on its ability to generate images from text prompts and manipulate existing images. The script describes how feeding an image into the model can act like an IP adapter or control net, maintaining elements of the original while allowing for prompt-based adjustments. The speaker notes the subtle differences in results when attempting to change art styles and the model's improved ability to understand natural language prompts compared to previous versions. There is also a discussion about the community's mixed reactions to the output quality and the model's limitations, such as issues with rendering hands. The script concludes with a call for community feedback on the current state of Stable Diffusion 3 and Stability AI's subscription model.

Mindmap

Keywords

💡Stable Diffusion 3

Stable Diffusion 3 is an advanced image generator model that has been recently released. It represents a significant update in the series of AI-driven image synthesis tools. In the video, the host discusses the release of this model and how it is initially available as an API through Stability AI's website. The model is expected to be released to the open-source community, which is a central theme of the video, highlighting the balance between commercial interests and open-source accessibility.

💡API

An API, or Application Programming Interface, is a set of rules and protocols that allows different software applications to communicate with each other. In the context of the video, Stable Diffusion 3 is made available through Stability AI's API, which means users can access the model's capabilities by sending requests to the API. This is a key point as it discusses the current method of accessing the new model before it becomes open-source.

💡Open Source

Open source refers to a type of software or model where the source code is freely available for anyone to view, modify, and distribute. The video discusses the open-source community's anticipation for the release of Stable Diffusion 3's weights, which are the parameters that the model uses to generate images. The community's concern about potential lack of access due to Stability AI's financial issues is also addressed.

💡Subscription Fee

A subscription fee is a payment made by users to access a service or product over a certain period. The video mentions that to access Stable Diffusion 3 initially, users need a Stability AI subscription, which is a point of contention among some community members. The host acknowledges the need for such a fee given Stability AI's financial situation while also expressing understanding of the community's concerns.

💡Comfy UI

Comfy UI is a user interface for the software application Comfy, which is used for running various nodes, including those for image generation models like Stable Diffusion. The script explains that to use Stable Diffusion 3, one needs to have Comfy UI updated and then install the Stability API nodes, demonstrating the process of setting up the model within this interface.

💡Nodes

In the context of the video, nodes refer to individual components or modules within Comfy UI that perform specific tasks, such as image generation using the Stable Diffusion 3 model. The host guides viewers on how to install and use these nodes to interact with the API and generate images.

💡Aspect Ratios

Aspect ratio is the proportional relationship between the width and height of an image or screen, commonly expressed by two numbers separated by a colon. The video script mentions the ability to select different aspect ratios for the generated images, such as 9 by 16, which is an important parameter for users who want to control the output dimensions.

💡Control Net

A control net is a feature in some image generation models that allows for the manipulation of specific elements within an image based on user input. The video describes an experiment where an image is fed into the model along with a prompt, and the model's response is likened to the functionality of a control net, indicating the model's ability to adapt and modify the input image according to the given instructions.

💡Prompt

In the context of AI image generation, a prompt is a text description that guides the model in creating an image. The video emphasizes the importance of using natural language prompts with Stable Diffusion 3, as opposed to the 'prompt soup' approach used in earlier versions, to achieve more accurate and understandable results.

💡IP Adapter

An IP adapter in the context of the video refers to a feature that allows the model to interpret and incorporate an input image into the generated output, maintaining certain elements while allowing for modifications based on the prompt. The host demonstrates this by feeding an image into the model and observing how it is adapted in the final output.

💡Text Generation

Text generation is a capability of Stable Diffusion 3 that is highlighted in the video, where the model is praised for its ability to create high-quality text within images. The host mentions this feature as one of the model's strong points, even when some generated images may have minor issues.

Highlights

Stable Diffusion 3 has been released and is available as an API through the Stability AI website.

The open source community will receive the model weights soon, but a Stability AI subscription is required.

Stability AI is facing financial issues, which raised concerns about open source access to Stable Diffusion 3.

The speaker is happy that the model will be released to the community despite the subscription fee.

Instructions on how to get started with Stable Diffusion 3 using Comfy UI are provided.

Comfy UI is easier to use with Stable Diffusion 3 compared to Automatic1111.

A step-by-step guide on installing Stability API nodes for Comfy UI is given.

Stable Diffusion 3 is currently limited to API use, which allows running on any computer.

The downside of API use is the limitation of available nodes for Stable Diffusion 3.

Stability AI plans to release the model to the open source community, which is anticipated to unlock more capabilities.

A demonstration of generating an image with Stable Diffusion 3 using a text prompt is shown.

The generated image showcases impressive text rendering and overall image quality.

Issues with hands in generated images are mentioned, indicating areas for improvement.

Feeding an image into Stable Diffusion 3 can act as an IP adapter or control net.

Experimentation with art style changes and prompts is discussed.

The model's ability to understand natural language prompts is highlighted.

The community's reaction to the quality of Stable Diffusion 3 output is mixed.

The speaker expresses curiosity about the open source community's future contributions to the model.

A discussion on the necessity of a subscription fee for access to the open source model is presented.

The speaker invites viewers to share their thoughts on the situation with Stable Diffusion 3 and Stability AI.

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