Stable diffusion VS Midjourney: All you need to know

18 Nov 202308:18

TLDRThe video script explores the world of AI-generated art, focusing on two leading tools: Stable Diffusion and Midjourney. It compares their accessibility, customization, and quality, highlighting Stable Diffusion's open-source nature and community-driven flexibility versus Midjourney's subscription-based, high-quality output. The script also delves into the training methods and legal considerations surrounding AI art, particularly copyright issues. Ultimately, it leaves viewers to decide which tool best suits their needs, while emphasizing the potential of open-source approaches for technological advancement.


  • 🎨 AI art is currently a trending topic with questions about the accessibility of high-level AI image generation.
  • 🆓 Stable Diffusion is an open-source text-to-image generator available for free, supporting customization and community expansion.
  • 🔒 Midjourney AI image generator is not open-source and requires a paid subscription, with pricing similar to popular streaming services.
  • 💻 Stable Diffusion is more complex to run and requires learning and a strong PC or cloud server, whereas Midjourney is beginner-friendly and only needs a Discord account.
  • 🔄 Both AI tools are trained by learning to reverse the process of image destruction through adding layers of noise.
  • 🎨 Fine-tuned models of Stable Diffusion are popular for generating specific styles closely, while Midjourney relies on a single, constantly updated model.
  • 🚫 Midjourney has a strict ban on explicit imagery, unlike the open-source Stable Diffusion which allows for more flexibility, including NSFW content.
  • 📸 The training data for AI art generators comes from vast datasets like LAION-5B, raising copyright concerns since creators are not credited.
  • 📝 As of August 2023, AI-generated art without human input cannot be copyrighted in the US, but human-modified AI art may be subject to copyright.
  • 🌟 The open-source approach of Stable Diffusion is believed to foster more potent technological development, though only time will tell which approach is superior.

Q & A

  • What is the main topic of the discussion?

    -The main topic of the discussion is AI art and the comparison between two AI image generators, Stable Diffusion and Midjourney.

  • Is it possible to access high-level AI image generation for free?

    -Yes, it is possible to access high-level AI image generation for free through open-source tools like Stable Diffusion.

  • What are the key differences between Stable Diffusion and Midjourney?

    -Stable Diffusion is an open-source, highly customizable, and community-driven tool that requires more technical knowledge to use. Midjourney, on the other hand, is a closed-source, less customizable but more user-friendly tool that requires a paid subscription.

  • What kind of models does Stable Diffusion support?

    -Stable Diffusion supports thousands of custom models, each tailored to a specific style, allowing for a wide range of artistic outputs.

  • How does the Midjourney AI image generator work?

    -Midjourney is a closed-source generator that likely combines the Stable Diffusion approach with a large language model, trained on a massive dataset of text and images, to understand the relationship between text prompts and image outputs.

  • What is the source of the images used for training AI art generators?

    -The images used for training primarily come from LAION-5B, a dataset with more than 6 billion images, photographs, renders of 3D models, and more, each with a text description.

  • What are the legal considerations regarding the use of AI-generated art?

    -As of August 2023, AI-generated art cannot be copyrighted in the US because copyright laws only protect works created by human beings. However, if a human artist uses AI to generate images and then modifies them creatively, the resulting work may be eligible for copyright protection.

  • How does the community contribute to Stable Diffusion?

    -The community contributes to Stable Diffusion by building and sharing fine-tuned models tailored to specific styles, expanding the possibilities of the tool and enhancing its artistic capabilities.

  • What are the restrictions on Midjourney's basic plan?

    -The basic plan of Midjourney is almost as expensive as the Netflix standard pricing, and it has restrictions on high-speed generation, meaning users may experience slower image generation times.

  • What is the main advantage of using Midjourney over Stable Diffusion?

    -The main advantage of using Midjourney is its ease of use and the high quality of the generated images, which closely match the text prompts. It also has a stricter policy against explicit imagery.

  • What is the potential downside of using Stable Diffusion?

    -The potential downside of using Stable Diffusion is that it requires more technical knowledge and may produce less detailed or nuanced images compared to Midjourney. Users may also need to use negative prompts to avoid undesirable outputs.



🖼️ AI Art Generation: Free vs. Paid Services

This paragraph discusses the hot topic of AI art generation and the question of whether high-level AI image generation is accessible for free or limited to paid services. It introduces a comparison between two prominent examples, Stable Diffusion and Midjourney, highlighting their main differences. Stable Diffusion is described as an open-source text-to-image generator that is freely available and supports extensive customization with a variety of models. However, it is noted to be challenging for inexperienced users. In contrast, Midjourney is a closed-source, subscription-based service that is more beginner-friendly but less customizable and has a higher cost. The paragraph also touches on the technical aspects of running these tools, with Stable Diffusion potentially requiring a powerful PC or the use of cloud servers, while Midjourney requires a constant internet connection via its Discord bot.


🌟 Community and Quality in AI Art Generation

The second paragraph delves into the strengths and weaknesses of Stable Diffusion and Midjourney in terms of community involvement and image quality. It emphasizes the role of the community in enhancing Stable Diffusion with fine-tuned models, which can lead to creative applications such as transforming videos into animations. The paragraph also explores the creator's perspective on the artistic capabilities of the two AI models, with Midjourney producing higher quality images that closely match the prompts without the need for extensive customization. It addresses the explicit content policies of the two services, with Midjourney enforcing a strict ban, while Stable Diffusion, being open-source, has fewer restrictions. The paragraph concludes with a discussion on the copyright implications of AI-generated art, noting the current legal stance in the US and the potential for copyright if a human artist modifies AI-generated images.



💡AI art

AI art refers to the creation of artistic works, such as images or animations, using artificial intelligence. In the context of the video, AI art is generated through text-to-image generators like Stable Diffusion and Midjourney, which transform textual descriptions into visual art. The video discusses the capabilities, customization, and legal considerations of these AI art generators.

💡Stable Diffusion

Stable Diffusion is an open-source text-to-image AI generator that allows users to create images by inputting text descriptions. It is known for its flexibility and customization options, as it supports thousands of models tailored to specific styles. However, it requires a certain level of technical knowledge to use effectively.


Midjourney is a proprietary AI image generator that operates on a subscription model. Unlike Stable Diffusion, it is not open-source and is more user-friendly for beginners, requiring only a Discord account to use. Midjourney is known for producing high-quality images that closely match the input prompts, but it offers less customization compared to Stable Diffusion.


Open-source refers to software or tools whose source code is made publicly available, allowing anyone to view, use, modify, and distribute the software freely. In the context of the video, Stable Diffusion is an open-source AI generator, which means it encourages community involvement and continuous improvement by enabling users to customize and share their models.


Customization in the context of AI art generators refers to the ability of users to tailor the AI models to produce specific styles or types of images. The video discusses how Stable Diffusion excels in customization due to its open-source nature and the availability of thousands of models, each designed for a particular artistic style.

💡Training data

Training data consists of the sample inputs and desired outputs used to teach a machine learning model how to perform a specific task. In AI art generation, training data typically includes a large dataset of images with associated text descriptions. The quality and diversity of the training data directly influence the AI's ability to generate relevant and accurate images.


Copyright refers to the legal rights that protect original works of authorship, including artistic works like AI-generated images. The video discusses the complexities of copyright in the context of AI art, noting that as of August 2023, AI-generated art without human input cannot be copyrighted in the US. However, if a human artist modifies AI-generated images creatively, the resulting work may be eligible for copyright protection.

💡Legal considerations

Legal considerations involve the laws and regulations that must be taken into account when using or creating AI-generated content, including AI art. The video discusses the legal challenges surrounding AI art generators, such as copyright infringement lawsuits against Midjourney and the potential legal responsibilities of users who create images with AI tools.

💡Community-built models

Community-built models refer to AI models that are developed and improved by a community of users rather than a single organization or developer. In the context of the video, the Stable Diffusion community contributes to the creation of fine-tuned models that generate images in specific styles, showcasing the collaborative and dynamic nature of open-source projects.

💡Negative prompt

A negative prompt is a directive given to an AI art generator to explicitly exclude certain elements or features from the generated image. This is used to refine the output and avoid undesirable results. In the video, it is mentioned that using a negative prompt with Stable Diffusion is often necessary to avoid generating images that do not align with the user's intentions.

💡Explicit imagery

Explicit imagery refers to visual content that is intended for adults only and is not suitable for all audiences. The video discusses the restrictions on explicit content in AI-generated art, with Midjourney having a strict ban on such imagery, while open-source tools like Stable Diffusion do not have such restrictions.


AI art is one of the hottest topics in AI discussion, with questions about the accessibility of high-level AI image generation.

Stable Diffusion is an open-source text-to-image generator that is freely available, supporting thousands of custom models for various styles.

Stable Diffusion offers an extremely flexible customization model and has a dedicated community that expands its possibilities daily.

Running Stable Diffusion requires learning and can be hard for inexperienced users.

Midjourney AI image generator is not open source and requires a paid subscription, with pricing comparable to streaming services like Netflix.

Midjourney is less customizable with only a couple of models but produces very high-quality results.

Midjourney is beginner-friendly, only requiring a Discord account for use.

Stable Diffusion can be run through a cloud server or locally, but it requires a strong PC for faster image generation.

Stable Diffusion learns to generate images by repeatedly adding and reversing noise layers over original images.

Fine-tuned models of Stable Diffusion, trained on narrower data sets, are popular for generating specific styles closely.

Using pictures from a specific artist can replicate their work with some accuracy, raising legal concerns about copyright.

Midjourney is a closed-source AI that likely combines Stable Diffusion's approach with a large language model for better text prompt understanding.

Images for training AI art generators come from massive datasets like LAION-5B, which includes over 6 billion images with text descriptions.

Midjourney faced a class action copyright infringement lawsuit due to the use of copyrighted material in training.

Stable Diffusion claims that images created with it can be used commercially, but users may be held responsible under local copyright laws.

AI-generated art cannot be copyrighted in the US as of August 2023, due to laws only protecting human-created works.

If a human artist uses AI to generate images and adds creative modifications, the resulting work may be copyrightable as an original human work.

The open-source approach of Stable Diffusion fosters a potent environment for technological growth, though Midjourney's meticulous training provides better average results.