Stable Diffusion 3! Sample Images and ComfyUI Nodes!

In this AI Fuz video, Ed introduces the newly released Stable Diffusion 3 API and demonstrates how to use it with ComfyUI nodes. He provides a link to Zo Z Z zho's GitHub for viewers to try it out themselves. The video showcases the Stable Diffusion 3 node in ComfyUI, which allows for positive and negative prompts, and currently supports text-to-image generation. Ed generates several images using different prompts, highlighting the model's ability to handle a variety of colors and details. He also explains the process of obtaining an API key from Stability AI and configuring it for use. The video serves as a preview of the capabilities of Stable Diffusion 3 and encourages viewers to explore and experiment with the technology on their own.

Takeaways

• 🎉 Stability AI has released a new version, Stable Diffusion 3, which is available through an API.
• 🛠️ Zo Z Z zho has created and implemented ComfyUI nodes for Stable Diffusion 3, which can be found on his GitHub.
• 🔗 A link to Zo's GitHub will be provided in the video description for viewers to try out the nodes themselves.
• 🌟 The Stable Diffusion 3 node in ComfyUI has features like positive/negative prompt, PR ratio mode, and text-to-image functionality.
• 🚀 The models available are 'sd3' and 'sd3 turbo', with options to randomize or fix the seed, and adjust the strength.
• 🖼️ The generated images showcase good detail and color handling, with resolutions like 1344 by 768.
• 📈 The script demonstrates a workflow for using the new node, including queuing up prompts and generating images.
• 🔑 To use the node, one needs to obtain an API key from Stability AI and configure it in a specific config file.
• 📝 Instructions on how to set up the API key and use the node are provided in the video.
• 👥 The video is aimed at an audience interested in AI and image generation, encouraging them to experiment with the new tool.
• 🔍 The model is still in early stages, suggesting that there's more to explore and discover in future updates.
• ⏳ The presenter plans to continue using the tool and will share more insights in upcoming AI Fuzz videos.

Q & A

What is the topic of the video?

The video discusses the release of Stable Diffusion 3 by Stability AI and its integration into ComfyUI nodes by Zo Z Z zho.

What does the acronym 'API' stand for?

API stands for Application Programming Interface, which is a set of rules and protocols that allows software applications to communicate with each other.

How can viewers try out the Stable Diffusion 3 for themselves?

Viewers can try out Stable Diffusion 3 by visiting Zo Z Z zho's GitHub repository, which is linked in the video description.

What are the two model options mentioned for Stable Diffusion 3?

The two model options mentioned are 'model sd3' and 'sd3 turbo'.

What is the current limitation of the Stable Diffusion 3 in ComfyUI nodes?

The current limitation is that only the 'text image' mode is operational at the moment.

What is the role of a 'seed' in the Stable Diffusion 3 node?

The 'seed' is used to randomize the output, allowing for different results when generating images with the same prompt.

How can one obtain an API key for Stability AI?

An API key for Stability AI can be obtained by following the link provided in the video description.

What is the process to use the Stable Diffusion 3 in ComfyUI after obtaining an API key?

After obtaining the API key, one needs to go into Stability AI's configuration file, open and edit it, and then paste the API key into the file to use it.

What is the resolution of the generated image that the speaker finds pretty nice?

The resolution of the generated image that the speaker finds pretty nice is 1344 by 768.

What does the speaker suggest for those who want to experiment with Stable Diffusion 3?

The speaker suggests cloning Zo's GitHub repository to their custom nodes folder and inserting their API key into the config file to experiment with Stable Diffusion 3.

What is the speaker's final message to the viewers?

The speaker encourages viewers to enjoy and have fun playing with Stable Diffusion 3 on their own and promises to catch them next time in another AI fuzz video.

What does the speaker imply about the maturity of the Stable Diffusion 3 model?

The speaker implies that the Stable Diffusion 3 model is still in its early stages and that there is likely more to it that has not been covered in the video.

Outlines

00:00

🚀 Introduction to Stable Diffusion 3

The video begins with a warm welcome from the host, Ed, who introduces the topic of the night: a quick workflow demonstration involving the new release of Stable Diffusion 3 by Stability AI. Ed mentions the availability of the API and highlights the work of Zo Z Z zho, who has built and implemented a system called 'comfy eyes'. Ed provides a link to Zo's GitHub for viewers to try out the system themselves. The video then transitions into a demonstration of the nodes used in comfy eyes, specifically focusing on the 'stable diff Fusion 3' node, which has features like positive and negative prompts, PR ratio mode, and text-to-image capabilities. Ed also discusses the process of obtaining and configuring an API key for Stability AI to use the system effectively.

Keywords

💡Stable Diffusion 3

Stable Diffusion 3 refers to a new release from Stability AI, which is an AI model for generating images from textual descriptions. It is mentioned as having been recently released and is the central focus of the video, showcasing its capabilities and how to implement it.

💡API

API stands for Application Programming Interface, which is a set of rules and protocols that allows different software applications to communicate with each other. In the context of the video, the API for Stable Diffusion 3 is released, enabling developers to integrate the AI model into their applications.

💡ComfyUI Nodes

ComfyUI Nodes refer to a user interface component that allows for the creation and manipulation of nodes in a visual programming environment. In the video, ComfyUI Nodes are used to demonstrate how to implement Stable Diffusion 3, making it easier for users to generate images.

💡Positive and Negative Prompt

This term refers to the instructions given to the AI model to guide the image generation process. A positive prompt includes elements that the user wants to be included in the generated image, while a negative prompt lists elements to be avoided. In the video, it is shown as a feature of the Stable Diffusion 3 node.

💡PR Ratio Mode

PR Ratio Mode likely stands for Precision and Recall Ratio Mode, which is a metric used in machine learning to evaluate the performance of a classification model. However, in the context of the video, it might refer to a specific setting within the Stable Diffusion 3 node for adjusting the balance between precision and recall in the image generation process.

💡Text Image

Text Image in this context refers to the type of output that the Stable Diffusion 3 model is currently capable of generating, which is an image based on a textual description. It is mentioned as the 'only thing that works at the moment', indicating it's the primary function of the model.

💡Model sd3 and sd3 Turbo

These refer to different configurations or versions of the Stable Diffusion 3 model. 'sd3' is the base model, while 'sd3 Turbo' likely refers to a faster or more efficient version of the model. The video suggests that users can choose between these options based on their needs.

💡Seed Randomization

Seed Randomization is a technique used in AI and computer programming to generate random numbers in a way that can be reproduced. In the context of the video, it allows users to either randomize the seed for different outcomes or fix it for consistent results in image generation.

💡Strength

In the context of the Stable Diffusion 3 node, Strength likely refers to the intensity or the degree of influence the prompts have on the image generation. A higher strength value would mean the AI model adheres more closely to the provided prompts.

💡GitHub

GitHub is a web-based platform for version control and collaboration used by programmers to develop and share code. The video mentions GitHub as the place where viewers can find the ComfyUI Nodes implementation for Stable Diffusion 3, allowing them to clone the repository and use it in their projects.

💡API Key

An API Key is a unique code that identifies an application making requests to an API. In the video, it is mentioned that to use Stable Diffusion 3, one needs to obtain an API key from Stability AI and configure it in a specific file to enable the functionality of the model.

Highlights

Stability AI has released Stable Diffusion 3 API

Zo Z Z zho has built ComfyUI nodes for Stable Diffusion 3

Link to Zo Z Z zho's GitHub will be provided in the description

Demonstration of the Stable Diffusion 3 node in ComfyUI

Features of the node include positive/negative prompt, PR ratio mode, and text-to-image functionality

Models available are SD3 and SD3 Turbo

Node includes options for seed randomization and strength adjustment

Generated images showcased with a simple prompt

Images generated are of high quality with good detail and color handling

The resolution of generated images is 1344 by 768 pixels

To use the node, an API key from Stability AI is required

Instructions on how to obtain and configure the API key are provided

Additional nodes and features are expected as the model is still in early stages

Users are encouraged to clone Zo's repository for custom nodes

The video provides a preview of the capabilities of SD3

The audience is invited to experiment with the model on their own

The presenter, Ed, will be back with more AI fuzz videos