Stable Diffusion 3! Sample Images and ComfyUI Nodes!

AIFuzz
17 Apr 202405:05

TLDRIn this AI Fuz video, Ed introduces the newly released Stable Diffusion 3 API by Stability AI. He demonstrates how to use it with Comfy UI nodes, which were created by Zo Z Z zho. Ed shows viewers how to generate images using the API with a positive and negative prompt, and explains the process of obtaining and configuring an API key for Stability AI. The video showcases several generated images, highlighting the model's ability to handle colors and details. Ed encourages viewers to try it out themselves by cloning Zo's repository and setting up their own API key.

Takeaways

  • πŸš€ Stable Diffusion 3 has been released, with its API available for use.
  • πŸ“š Zo Z Z zho has created ComfyUI nodes for Stable Diffusion 3, which can be accessed via GitHub.
  • πŸ”— A link to Zo Z Z zho's GitHub will be provided in the video description for viewers to try out the nodes.
  • 🌟 The nodes include features like positive and negative prompts, PR ratio mode, and text-image input.
  • πŸ”‘ To use the nodes, one needs to obtain an API key from Stability AI.
  • πŸ“ The API key must be inserted into a config file within Stability AI to enable functionality.
  • πŸ“ˆ The model supports 'sd3' and 'sd3 turbo', with options to randomize or fix the seed and adjust the strength.
  • πŸ–ΌοΈ Generated images showcase good detail and color handling, with resolutions like 1344 by 768.
  • 🧐 The video demonstrates the process of generating images using a simple prompt.
  • πŸ‘₯ The audience is encouraged to get their own API key and experiment with the model.
  • ⏳ The presenter mentions that the model is still early in its development, suggesting more features and improvements to come.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is the release of Stable Diffusion 3 by Stability AI and the demonstration of its integration into ComfyUI nodes.

  • Who is the presenter of the video?

    -The presenter of the video is Ed.

  • What is the purpose of the API key mentioned in the video?

    -The API key is required to authenticate and use the Stable Diffusion 3 model through the Stability AI service.

  • What are the two modes of the Stable Diffusion 3 model mentioned in the video?

    -The two modes mentioned are 'model sd3' and 'sd3 turbo'.

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

    -Viewers can try out the model by visiting Zo Z Z zho's GitHub repository, cloning the repository to their custom nodes folder, and using their API key as described in the video.

  • What is the process to use the Stable Diffusion 3 model after obtaining the API key?

    -After obtaining the API key, the user needs to go to Stability AI, find the config file, open and edit it, and then paste the API key into the file to use the model.

  • What is the role of the 'prompt' in the Stable Diffusion 3 model?

    -The 'prompt' is a text input that guides the Stable Diffusion 3 model in generating images based on the given description or idea.

  • What is the significance of the 'seed' parameter in the model?

    -The 'seed' parameter determines the randomness of the generated images. A fixed seed will produce the same output each time, while a randomized seed will create different results.

  • What is the resolution of the generated images shown in the video?

    -The resolution of the generated images mentioned in the video is 1344 by 768 pixels.

  • How does the video demonstrate the capabilities of the Stable Diffusion 3 model?

    -The video demonstrates the capabilities by showing the process of generating various images using different prompts and settings within the ComfyUI nodes.

  • What is the current limitation of the Stable Diffusion 3 model as mentioned in the video?

    -The current limitation mentioned in the video is that only the 'text to image' feature is working at the moment.

  • Why does the presenter suggest that there is more to the Stable Diffusion 3 model than what is shown in the video?

    -The presenter suggests this because the model is still in its early stages, and there are likely more features and capabilities to be discovered or released in the future.

Outlines

00:00

πŸŽ₯ Introduction to Stable Diffusion 3

In this paragraph, Ed, the host of the AI Fuz video series, welcomes viewers and introduces a new workflow featuring Stable Diffusion 3, recently released by Stability AI. He mentions that the API is now available and highlights Zo Z Z zho's work in building and implementing Comfy Eyes, a node that utilizes the new technology. Ed provides a link to Zo's GitHub for viewers to try the tool themselves and gives a brief overview of the nodes and settings used in Comfy Eyes, including the positive and negative prompt, PR ratio mode, and model selection. He demonstrates the node's capabilities by generating images with different prompts and discusses the image quality, mentioning the detail and color handling of the generated images. Ed also advises viewers on how to obtain an API key from Stability AI and configure it for use with the node.

Mindmap

Keywords

πŸ’‘Stable Diffusion 3

Stable Diffusion 3 refers to the latest version of an AI model developed by Stability AI, which is designed to generate images from textual descriptions. In the video, it is mentioned that Stability AI has released the API for this model, allowing users to integrate it into their workflows and generate images. The script demonstrates the use of this model within the ComfyUI interface.

πŸ’‘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 has been released, enabling developers like Zo Z Z zho to build nodes for it within ComfyUI.

πŸ’‘ComfyUI Nodes

ComfyUI Nodes are components within the ComfyUI interface that allow users to interact with and control various features of the software. In the video, the presenter shows how to use the new Stable Diffusion 3 node within ComfyUI to generate images based on prompts.

πŸ’‘Positive and Negative Prompt

A positive prompt is a textual description that guides the AI to generate an image with certain desired characteristics, while a negative prompt is used to specify features or elements that should be avoided in the generated image. In the video, the presenter mentions setting up these prompts within the Stable Diffusion 3 node.

πŸ’‘PR Ratio Mode

PR Ratio Mode likely refers to a parameter within the Stable Diffusion 3 node that controls the balance between the positive and negative prompts. The video does not provide a detailed explanation of this term, but it suggests that adjusting this ratio can influence the outcome of the image generation process.

πŸ’‘Text-to-Image

Text-to-Image is a technology that converts textual descriptions into visual images. It is a core feature of the Stable Diffusion 3 model, as mentioned in the video, where the model generates images based on the input text provided by the user.

πŸ’‘Model SD3 and SD3 Turbo

Model SD3 and SD3 Turbo are likely different configurations or versions of the Stable Diffusion 3 model, offering varying levels of detail or speed in image generation. The video script suggests that users can choose between these models within the ComfyUI node.

πŸ’‘Seed Randomization

Seed Randomization is a technique used in AI image generation to introduce variability into the output. By setting a seed, users can control the randomness and potentially recreate the same image multiple times. In the video, the presenter discusses the option to randomize or fix the seed within the Stable Diffusion 3 node.

πŸ’‘Strength

In the context of the Stable Diffusion 3 node, Strength likely refers to a parameter that controls the intensity or the degree to which the AI's image generation is influenced by the prompts. The video mentions setting the strength to 'one', which could mean a full influence of the prompts on the generated image.

πŸ’‘GitHub

GitHub is a web-based platform for version control and collaboration that allows developers to work on projects together. In the video, the presenter provides a link to Zo Z Z zho's GitHub repository where users can find the ComfyUI nodes for Stable Diffusion 3 and clone them for their own use.

πŸ’‘API Key

An API Key is a unique code that is required to access and use an API. In the video, the presenter explains that to use the Stable Diffusion 3 model, users need to obtain an API key from Stability AI and configure it within their ComfyUI setup.

Highlights

Stability AI has released Stable Diffusion 3 API.

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

A link to Zo Z Z zho's GitHub will be provided for users to try it out.

The nodes in ComfyUI include a positive and negative prompt as PR.

Ratio mode is set to 'text image', which is currently the only working option.

Models available are 'sd3' and 'sd3 turbo'.

Users can choose between a seed randomized or fixed.

The strength parameter can be set, with a suggestion of 'out of one'.

A simple node is demonstrated with a basic prompt to show the output.

Generated images are of good quality, with a range of colors handled well.

Image resolution of 1344 by 768 is mentioned, with nice detail.

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

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

The video includes a demonstration of generating multiple images.

The model is still early in development, suggesting more features to come.

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

The presenter expresses optimism for further exploration and enjoyment of the tool.

The video concludes with an invitation to join another AI fuzz video session.

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