【面倒な構築不要】自宅PCで誰でもStable Diffusionを使える無料アプリ3選

ウェブ職TV
15 May 202345:55

TLDRThe video script discusses the ease of generating images using stable diffusion AI on a personal computer, highlighting the convenience and free access to various apps that simplify the process. It introduces several free apps like DiffusionB, Diffusers, and Easy Diffusion, explaining their functionalities, installation processes, and the benefits of using them offline. The speaker also shares personal experiences and tips for using these apps effectively, emphasizing the potential of AI in image generation and the importance of selecting appropriate models for different styles of images.

Takeaways

  • 🖼️ Introduction to free apps for using Stable Diffusion on personal computers, which can be an alternative to Google Colab.
  • 💡 Discussion on the possibility of Stable Diffusion becoming mainstream for running on home PCs due to potential restrictions on Google Colab.
  • 🔧 Explanation of the process and requirements for installing and using Stable Diffusion on a local PC.
  • 🖥️ Presentation of the user's own high-spec Mac Mini as an example of hardware capable of running image generation AI.
  • 🎨 Demonstration of using the DiffusionB app, including model selection, prompt input, and image generation.
  • 🎭 Comparison of different models like Chilout Mix and Counter After, showing how they affect the style of generated images.
  • 📸 Showcasing the simplicity of generating images with DiffusionB and the ability to control the output with various settings.
  • 🚀 Mention of other apps like Diffuser and Easy Diffusion, their compatibility with different operating systems, and their ease of use.
  • 🔄 Discussion on the process of downloading and using models with Easy Diffusion, including the steps for Mac and Windows.
  • 👨‍💻 Insight into the potential challenges of using AI for image generation, such as the need for high computer specs and the learning curve involved.
  • 🌐 Final thoughts on the benefits and limitations of using AI apps for image generation compared to self-hosting solutions.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is introducing free apps that allow anyone to use table diffusion on their home computers.

  • What is the significance of using stable diffusion for image generation?

    -Stable diffusion is an open-source image generation AI that can be used in various ways. It can be installed on your own computer or used through platforms like Google Colab, and many services have been built based on it.

  • Why might stable fusion become the mainstream way to run on home PCs?

    -Stable fusion might become mainstream because it is free to use and doesn't require complex setup or installation processes. It also allows for offline use, which doesn't depend on an internet connection.

  • What are the advantages of using an app for stable diffusion instead of building it locally on your PC?

    -Using an app for stable diffusion eliminates the need for complex installation and setup, making it more accessible for users without technical knowledge. It also allows for free use and offline functionality.

  • What are some of the limitations or drawbacks of using apps for stable diffusion?

    -The limitations of using apps for stable diffusion include fewer features compared to building it locally and potential quality differences. The performance also depends on the user's computer specifications, which can lead to longer image generation times on lower-spec machines.

  • What are the system requirements for running stable diffusion on a local PC?

    -The video mentions that the creator uses a Mac Mini with an Apple M2 Pro CPU, 32GB memory, and a 19-core GPU with a neural engine. However, the specific requirements may vary depending on the app and the intended use.

  • How does the speaker's experience with using Google Colab affect their perspective on stable diffusion?

    -The speaker has experienced limitations with Google Colab, such as restrictions on usage, which has led them to consider running stable diffusion on their local PC as a more reliable alternative.

  • What are the differences between the apps introduced in the video, DiffusionB, Diffuser, and Easy Diffusion?

    -DiffusionB is a Mac app with a simple interface and various models to choose from. Diffuser is a simpler app with fewer features and models, suitable for beginners. Easy Diffusion is a more customizable option that can be used across different operating systems, including Windows and Linux.

  • How does the speaker's personal setup and experience influence their recommendation of these apps?

    -The speaker's personal setup, which includes a high-spec Mac Mini, influences their positive view of running stable diffusion on a local PC. They also have experience with Google Colab, which informs their perspective on the potential limitations of using online platforms.

  • What is the speaker's advice for users who are interested in trying out these apps?

    -The speaker advises users to try the apps, especially those who want to use table diffusion on their home computers without the hassle of complex installations. They also suggest that users should consider their computer's specifications and be aware of the potential limitations of app-based solutions.

Outlines

00:00

🖥️ Introduction to Free Stable Diffusion Apps for Personal Computers

The paragraph introduces the viewer to free applications that allow anyone to use Stable Diffusion on their personal computers. The speaker discusses the ease of use and potential future trends of running Stable Diffusion locally rather than through platforms like Google Colab, which has recently faced restrictions. The speaker also mentions the possibility of Stable Diffusion becoming mainstream for home PC use and the advantages of free, unrestricted image generation.

05:01

🎨 Exploring DiffusionB and its Features

This section delves into the specifics of using DiffusionB, a primary app for generating images with Stable Diffusion. The speaker explains that while it's a Mac app, Windows users can also use it by waiting in a queue. The app's simplicity is highlighted, with users able to select models, input prompts, and generate images without complex setups. The speaker also discusses the ability to download additional models and the app's limitations compared to other platforms like Google Colab.

10:01

🖌️ Demonstrating Image Generation with DiffusionB

The speaker demonstrates the process of generating images using DiffusionB. They explain the steps involved, from selecting models to inputting prompts and generating images. The speaker also discusses the impact of computer specifications on image generation speed and the importance of choosing the right model for desired outputs. The section includes a practical example of generating an image using the Chiru Atomix model and adjusting settings for different results.

15:03

🌐 Introducing Diffusers and Easy Diffusion for Various Platforms

This paragraph introduces two additional apps, Diffusers and Easy Diffusion, which are available for Windows, Linux, and Mac. The speaker explains that Easy Diffusion, while slightly more complex to set up than DiffusionB, offers more customization options and is suitable for those wanting to use high-performance features. The paragraph also covers the process of downloading and installing Easy Diffusion, including the necessary steps for Mac users and the simplicity for Windows users.

20:04

🔧 Customizing and Expanding Easy Diffusion

The speaker discusses the process of customizing Easy Diffusion by adding models and using rollers for more control over image generation. They explain how to download and install models, the importance of selecting the right model for specific image styles, and the use of rollers for fine-tuning prompts. The paragraph also touches on the potential issues with certain sample prompts and the speaker's experience with generating an image using the Chiru Atomix model.

25:06

🚀 Additional Insights on Using AI for Image Generation

The speaker shares additional insights on using AI for image generation, discussing the benefits of using apps over self-hosting Stable Diffusion, such as the absence of complex setups and the ability to use the software offline. They also mention the limitations, including fewer features compared to web UI versions and potential quality differences. The speaker emphasizes the importance of computer specifications for image generation speed and the potential time-consuming nature of generating images on lower-spec computers.

30:07

🎙️ Reflecting on the Advantages of Using AI and Time Management

In this section, the speaker reflects on the advantages of using AI, such as the potential to create more with less effort and the importance of leveraging AI to improve efficiency. They also discuss time management, emphasizing the value of产出 (output) and the importance of creating content that can be used across multiple platforms. The speaker shares personal experiences with using AI and the benefits of diversifying content creation efforts.

35:08

🤔 Considerations for Choosing Between ABC Online and Writing Courses

The speaker addresses the decision between joining ABC Online or a writing course, highlighting that the choice depends on the individual's goals. ABC Online is described as a platform for networking and community engagement, while the writing course is focused on improving writing skills. The speaker suggests that those interested in blogging and seeking community support might prefer ABC Online, while those looking to enhance their writing abilities should consider the writing course.

40:10

💡 Final Thoughts on Blogging and AI Tools

The speaker concludes with thoughts on blogging, the potential of AI tools, and the importance of trying out different platforms and services. They encourage listeners to experiment with options like ABC Online and writing courses to find what suits their needs. The speaker also emphasizes the value of investing time in exploring these opportunities, even if the decision ultimately leads to a temporary commitment.

Mindmap

Keywords

💡Stable Diffusion

Stable Diffusion is an open-source AI model that generates images from text prompts. In the context of the video, it is used to create various types of images on a personal computer without the need for complex setup or extensive resources. The video discusses the ease of using Stable Diffusion and its potential to become a mainstream option for image generation at home.

💡Image Generation

Image generation refers to the process of creating visual content using AI models like Stable Diffusion. It is the primary focus of the video, where the speaker discusses the simplicity and efficiency of generating images using specific software and apps. The process involves inputting text prompts to produce corresponding images.

💡Google Colab

Google Colab is a cloud-based platform that allows users to run Python code in a collaborative environment. It is mentioned in the video as a platform where users could previously run Stable Diffusion models. However, the speaker notes that there have been restrictions on using Google Colab for image generation, which might lead to the adoption of local PC solutions.

💡Free Usage

Free usage in the context of the video refers to the ability to use AI models like Stable Diffusion without incurring costs. The speaker emphasizes the appeal of free and unrestricted access to image generation tools, which is one of the reasons why local PC solutions might gain popularity.

💡Local PC

Local PC refers to a personal computer used for running software and applications. In the video, the speaker discusses the potential shift towards using local PCs for running Stable Diffusion and other image generation AI models, due to the simplicity and freedom it offers compared to cloud-based platforms.

💡App Introduction

App introduction in the video refers to the presentation of specific applications that can be used to run Stable Diffusion on a local PC. The speaker intends to introduce free apps that allow anyone to use table Diffusion on their home computer, emphasizing the ease of installation and use.

💡Open Source

Open source refers to software whose source code is made available to the public, allowing anyone to view, use, modify, and distribute the software. In the context of the video, Stable Diffusion is described as an open-source image generation AI, which means it can be freely used and modified by the community.

💡Installation

Installation in the context of the video refers to the process of setting up and preparing software or applications on a computer. The speaker discusses the ease of installation for the apps introduced in the video, contrasting it with the more complex setup required for other solutions.

💡AI Resource Intensive

AI resource intensive refers to the high computational resources required to run AI models, particularly those involved in tasks like image generation. The video implies that the use of local PCs for running Stable Diffusion can alleviate the resource demands that might lead to restrictions on cloud platforms like Google Colab.

💡Midjourney

Midjourney is an AI model used for image generation, similar to Stable Diffusion. In the video, it is mentioned as an example of a service that was initially free but has since transitioned to a paid model, highlighting the shift in accessibility for users.

💡Negative Prompts

Negative prompts are specific instructions given to AI models to avoid generating certain types of content. In the context of the video, they are used to ensure that the generated images are safe for work and do not contain inappropriate or violent content.

Highlights

The introduction of free apps that allow anyone to use table diffusion on their home PC, which could become the mainstream way of using stable diffusion.

The possibility of stable fusion being used on home PCs is quite likely, as it's open source and can be installed on personal computers.

Google Colab's recent restrictions on using stable fusion may lead to a shift towards running stable diffusion on personal computers.

The presenter's computer specifications are discussed, highlighting the importance of having a powerful PC for image generation using AI.

DiffusionB is introduced as a primary app for Mac users, with the potential for Windows users to use it soon.

DiffusionB allows users to select models, input prompts, and generate images with a simple and straightforward interface.

The presenter demonstrates the ease of generating images using DiffusionB, showcasing the app's simplicity and effectiveness.

Diffuser is another app introduced, which is simpler than DiffusionB but has fewer features and is more suitable for beginners.

Easy Diffusion is a third app recommended for those who want to use high-performance table diffusion on their computers without the hassle of setup.

The presenter provides a detailed guide on how to install and use Easy Diffusion, including the necessary steps for Mac and Windows users.

The benefits of using these apps include the absence of complicated setup processes and the ability to use them offline for free.

The downsides include limited functionality compared to self-hosted table diffusion and the dependency on the computer's specifications for image generation speed.

The presenter concludes by encouraging viewers to try these apps and stay tuned for more information on the latest AI developments.

The presenter also mentions his involvement in a free AI-related community where members can share and discuss the latest in AI technology.

The importance of effective time management is discussed, with the presenter sharing his philosophy of making the most out of every moment.

The presenter's experience with YouTube and the challenges of gaining subscribers and views is shared, offering insights into content creation and growth strategies.

The presenter's thoughts on the potential for anyone, regardless of age, to earn a significant income through blogging are expressed, emphasizing the importance of belief and effort.

The presenter's advice on choosing between two different online writing courses is given, based on the individual's goals and interests.