Stable Diffusion 3 - How to use it today! Easy Guide for ComfyUI

Olivio Sarikas
18 Apr 202416:13

TLDRThe video provides a step-by-step guide on how to use Stable Diffusion 3, a new model for creating images. The host compares the results from Stable Diffusion 3 with those from Mid Journey SXL, highlighting the aesthetic qualities and composition of the generated images. The video showcases various scenes, including sci-fi movie scenes, animals, and characters with emotional expressions, demonstrating the strengths and weaknesses of each model. The host also explains the process of installing and using the model through the Stability API, including creating an account, obtaining an API key, and adjusting settings within ComfyUI for image generation. The video concludes with an invitation for viewers to share their thoughts on the model and to subscribe for more content.

Takeaways

  • 🚀 Stable Diffusion 3 has been released and offers new capabilities for image generation.
  • 🎨 Comparisons between Mid Journey SXL and Stable Diffusion 3 show that the latter is approaching the aesthetic and artfulness of the former.
  • 📈 The script demonstrates various prompts and the resulting images, highlighting the strengths and weaknesses of Stable Diffusion 3.
  • 🤔 Stable Diffusion 3 sometimes struggles with certain aspects like text rendering and specific artistic styles, such as pixel art or anime.
  • 🌈 The colors and compositions generated by Stable Diffusion 3 are often praised for their beauty and cinematic quality.
  • 🐺 A favorite image generated is a wolf sitting in the sunset, showcasing the model's ability to create artful compositions.
  • 🧙‍♂️ When given more detailed prompts, Stable Diffusion 3 can produce more accurate and expressive results, as seen with a wizard on a hill.
  • 📱 The installation process for using Stable Diffusion 3 involves using the Stability API, which requires an account and API key setup.
  • 💲 Users of the Stability API receive 23 free credits upon signing up, with the option to purchase more credits starting at $10 for 1,000 credits.
  • 🔧 The GitHub page for installation may contain information in Chinese, but can be easily translated to English for non-Chinese speakers.
  • 📝 For those using ComfyUI, the process involves adding a specific note called 'Stable Diffusion 3' and connecting it to a save image node for operation.

Q & A

  • What is the name of the new model discussed in the video?

    -The new model discussed in the video is called Stable Diffusion 3.

  • How does the video compare Stable Diffusion 3 with Mid Journey SXL in terms of image generation?

    -The video compares Stable Diffusion 3 with Mid Journey SXL by showing side-by-side examples of image generation using the same prompts. It discusses the aesthetic, colors, composition, and artfulness of the images produced by both models.

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

    -The key features of Stable Diffusion 3 highlighted in the video include its ability to produce images with aesthetics and artfulness closer to Mid Journey, adherence to color rules, and the creation of detailed and expressive compositions.

  • How does the video describe the process of installing Stable Diffusion 3 for use?

    -The video outlines the process of installing Stable Diffusion 3 by first creating an account with Stability, generating an API key, and then cloning the GitHub project into the ComfyUI custom notes folder. It also details the steps to configure the API key in a config JSON file and how to add the Stable Diffusion 3 note to ComfyUI.

  • What are the costs associated with using Stable Diffusion 3?

    -Stable Diffusion 3 costs 6.5 credits per image for the standard model and 4 credits per image for the Turbo model. Users start with 23 free credits upon signing up, and additional credits can be purchased starting at $10 for 1,000 credits, with an additional 20% VAT for users in Europe.

  • How does the video address the issue of text in images generated by Stable Diffusion 3?

    -The video demonstrates that Stable Diffusion 3 can generate text within images, but it may not always be perfectly accurate. It suggests that the model might need more detailed prompts to improve text generation.

  • What is the role of the 'prompt' in image generation with Stable Diffusion 3?

    -The 'prompt' is a crucial part of image generation with Stable Diffusion 3. It guides the model in creating images by providing a description of the desired scene, style, and elements. The video shows how different prompts result in different images and how adjusting the prompt can lead to better results.

  • How does the video compare the image quality of Stable Diffusion 3 with that of the SDXL model?

    -The video compares the image quality by presenting several examples where both models generate images from the same prompts. It notes that while SDXL produces high-quality images, Stable Diffusion 3 offers a more artistic and detailed approach, with some instances where SDXL's results are more photographic.

  • What are the steps to fix the language barrier on the GitHub page mentioned in the video?

    -To fix the language barrier on the GitHub page, the video suggests right-clicking on the page and selecting 'Translate to English' to convert the Chinese text into English, making it easier to follow the installation instructions.

  • What is the significance of the 'positive prompt' and 'negative prompt' in the Stable Diffusion 3 settings?

    -The 'positive prompt' and 'negative prompt' in the Stable Diffusion 3 settings are used to guide the model on what to include and what to avoid in the generated images. The positive prompt describes the desired elements, while the negative prompt specifies aspects that should be excluded.

  • How does the video evaluate the emotional expressions in the images generated by Stable Diffusion 3?

    -The video evaluates the emotional expressions by comparing the results from Stable Diffusion 3 with those from Mid Journey. It notes that Stable Diffusion 3 captures a variety of expressions but sometimes lacks specificity, while the SDXL model does not display the requested emotions despite creating aesthetically pleasing images.

Outlines

00:00

🚀 Introduction to Stable Diffusion 3

The video begins with an introduction to Stable Diffusion 3, a new model for generating images from text prompts. The host expresses excitement about the model and its potential. Comparisons are made with the Mid Journey SXL model, highlighting the aesthetic improvements in Stable Diffusion 3. The video showcases several image examples generated by both models, emphasizing the cinematic and artistic qualities of the images produced by Stable Diffusion 3.

05:02

🎨 Exploring Image Quality and Artistry

The host delves into the quality and artistry of images generated by Stable Diffusion 3, comparing them with those from the Mid Journey SXL model. Various prompts are used to generate images, including a sci-fi movie scene, a wolf sitting in the sunset, and a tiger in pixel style. The results are analyzed in terms of color, composition, and adherence to the prompt. The host also discusses the challenges faced by the models when generating images with text and complex emotional expressions.

10:03

🧙‍♂️ Wizard on the Hill and Text Inclusion

The video continues with more complex prompts, such as a wizard on a hill and a tax buff, testing the models' ability to include text and complex scenarios in the generated images. The host evaluates the results, noting that Stable Diffusion 3 has some issues with text inclusion and the anime style but performs well in creating detailed and colorful images. The video also includes a step-by-step guide on how to install and use Stable Diffusion 3, including setting up an API key and using the stability API.

15:04

📝 Installation and Usage Guide

The host provides a detailed guide on how to install and use Stable Diffusion 3. The process involves creating an account with Stability, obtaining an API key, and following instructions to clone the GitHub project into the user's Comfy UI folder. The video demonstrates how to configure the settings for image generation, including positive and negative prompts, aspect ratio, and model selection. The host also discusses the cost of using the model and how to purchase credits for image generation.

Mindmap

Keywords

💡Stable Diffusion 3

Stable Diffusion 3 is a new model for generating images from text prompts. It is part of the broader AI image synthesis technology that aims to create more aesthetically pleasing and artful images. In the video, it is compared with other models like Mid Journey and SDXL to showcase its capabilities and the quality of the images it produces.

💡ComfyUI

ComfyUI is a user interface for interacting with AI models like Stable Diffusion 3. It allows users to input prompts and generate images based on those prompts. The video demonstrates how to use ComfyUI to access and run Stable Diffusion 3, making it a crucial tool for the video's tutorial aspect.

💡Prompt

A prompt is a text input that guides the AI model in generating an image. It can include descriptions, themes, or specific instructions to shape the output. The video script discusses various prompts used to test the capabilities of Stable Diffusion 3, such as 'sci-fi movie scene' or 'tiger in pixel style'.

💡API Key

An API key is a unique identifier used to authenticate a user, device, or application interacting with an API (Application Programming Interface). In the context of the video, an API key is necessary to use the Stability AI service for generating images with Stable Diffusion 3.

💡Mid Journey

Mid Journey is another AI model for image generation, which is used as a point of comparison in the video. It is known for its artistic and cinematic image outputs. The video compares the results from Mid Journey with those from Stable Diffusion 3 to highlight the differences and improvements.

💡Image to Image Rendering

Image to Image Rendering is a process where an AI model takes an existing image and transforms it according to a given prompt. In the video, it is mentioned that this feature is intended to be used with Stable Diffusion 3 but is currently not functioning as expected.

💡Text Embedding

Text embedding is the process of representing text in a format that can be understood and processed by an AI model. In the context of the video, text embedding is used to guide the AI in generating images that include specific text, such as 'I love you so much' in a pixel style tiger image.

💡Aesthetic

Aesthetic refers to the visual or artistic style and beauty of the generated images. The video emphasizes the aesthetic improvements in Stable Diffusion 3, noting that it produces images that are closer to the artfulness of Mid Journey.

💡SDXL

SDXL stands for Stable Diffusion XL, which is a variant of the Stable Diffusion model. It is mentioned in the video as another model that produces high-quality images, often with a more photographic style compared to other models.

💡Installation

The process of installing Stable Diffusion 3 is outlined in the video, including the steps to create an API key, clone a GitHub project, and configure the ComfyUI to use the new model. This is essential for users who want to start using Stable Diffusion 3 for their own image generation.

💡Control Parameters

Control parameters are settings within the AI model that allow users to influence the output. In the video, these include the positive and negative prompts, aspect ratio, and strength settings, which users can adjust to refine the image generation process.

Highlights

Stable Diffusion 3 is introduced with a guide on how to use it today.

Comparisons are made between Mid Journey SXL and Stable Fusion 3.

The ability of imagination is showcased with a sci-fi movie scene prompt.

ComfyUI is noted for always getting the fun stuff first.

Stable Fusion 3 is praised for its closeness to the aesthetic and artfulness of Mid Journey.

A two-color rule is followed nicely in the generated scenes.

The interaction between characters in the scenes is considered very nice.

A wolf sitting in the sunset is highlighted as one of the presenter's favorites.

Stable Diffusion 3's result is noted for a slightly awkward composition but good overall.

SDXL is recognized for creating a more photographic style in its results.

Text rendering in images is a challenge for SDXL but works surprisingly well for Stable Diffusion 3.

A detailed guide on installing and running Stable Diffusion 3 using the Stability API is provided.

Free credits are available upon signing up for a Stability API account.

Different pricing models for Stable Fusion 3 and SDXL1 are explained.

The GitHub page for installation initially appears in Chinese but can be translated to English.

Instructions are given for cloning the GitHub project into the ComfyUI folder.

Details on how to configure the API key and use the Stable Diffusion 3 note in ComfyUI are provided.

The settings within the Stable Diffusion 3 note are explained for ease of use.

Viewer engagement is encouraged with a prompt for likes and subscriptions.