Stable Diffusion 3 is... something

Greenskull AI
13 Jun 202403:24

TLDRThe internet reacts to the release of Stable Diffusion 3, an AI image generation tool with mixed results. While it excels in creating environments and pixel art, it struggles with human anatomy, often resulting in humorous memes. The community is actively experimenting with settings to improve its performance. Despite the current challenges, there's anticipation for the release of the larger model, SD3 Large, which promises better results. Users are encouraged to explore and contribute to refining the AI's capabilities.


  • 😀 Stable Diffusion 3 (SD3) has been released but is facing some issues that the internet finds amusing.
  • 🔍 SD3 Medium has 2 billion parameters, which is less than the Large model's 8 billion, leading to expectations for better performance.
  • 💻 The ability to use SD3 locally is a significant milestone, but the current version is not meeting user expectations.
  • 🤔 Users are currently in the 'Wild West' phase, trying to figure out the best settings and how to use SD3 effectively.
  • 🎨 SD3 performs well with environments but struggles with human anatomy, leading to humorous and meme-worthy results.
  • 📜 There's a peculiar proficiency in generating text, especially on cardboard, which seems to be a training focus.
  • 😹 A current internet meme involves images of women laying on grass, showcasing the chaotic results of SD3's output.
  • 👾 SD3 surprisingly does well with pixel art, indicating an area where the AI excels.
  • 🤖 The AI's output can be oddly impressive, raising questions about the safety and appropriateness for platforms like YouTube.
  • 📊 Comparisons between the local SD3 Medium and the API versions show a noticeable difference in quality, with the latter being superior.
  • 🛠️ The community is looking forward to the release of the larger SD3 model and the potential for fine-tuning to improve the AI's capabilities.
  • 🔧 Users are sharing their findings on the subreddit, with varying results and a collective effort to understand and optimize the AI's settings.

Q & A

  • What is the main issue with Stable Diffusion 3 that the internet is reacting to?

    -The main issue is that Stable Diffusion 3, specifically the 'medium' version with 2 billion parameters, is not living up to the expectations set by Stable Diffusion 1.5 and is facing difficulties in generating satisfactory images, especially of people.

  • What is the difference between the 'medium' and 'large' versions of Stable Diffusion 3 in terms of parameters?

    -The 'medium' version of Stable Diffusion 3 has 2 billion parameters, while the 'large' version boasts 8 billion parameters, making it four times larger and presumably more capable.

  • Why are people preferring to use the local version of Stable Diffusion 3 instead of the API?

    -People prefer the local version because it allows them to use the software on their own computers without the need for an internet connection or additional costs associated with using the API.

  • What is the current state of the Stable Diffusion subreddit according to the transcript?

    -The subreddit is in a state of meltdown, with users expressing dissatisfaction and confusion over the capabilities and settings of Stable Diffusion 3.

  • What types of images is Stable Diffusion 3 particularly good at generating according to the speaker's experience?

    -Stable Diffusion 3 is particularly good at generating environments, pixel art, and text, especially when the text is on cardboard.

  • What is the 'big meme' currently circulating in the Stable Diffusion community?

    -The 'big meme' is images of women laying on grass, which the AI seems to be creating in a chaotic and humorous manner.

  • What is the speaker's opinion on the quality of the generated Master Chief images by Stable Diffusion 3?

    -The speaker finds the generated Master Chief images to be the worst they have seen from a mainstream model, with weird proportions and overall poor quality.

  • What does the speaker suggest is needed to improve the performance of Stable Diffusion 3?

    -The speaker suggests that the release of the larger model, SD3 large, and community fine-tuning are needed to create a refined model that performs better across the board.

  • What tool did the speaker use to experiment with Stable Diffusion 3 and why is it recommended?

    -The speaker used Comfy UI, which is recommended because it is user-friendly and allows for easy installation and customization.

  • How does the speaker describe the process of experimenting with Stable Diffusion 3?

    -The speaker describes the process as a struggle and an ongoing experiment, with the aim of figuring out the best settings and understanding the AI's capabilities.



😄 Stable Diffusion 3.0: Hype and Challenges

The Stable Diffusion 3.0 release has stirred up excitement and controversy in the AI community. While version 1.5 has been the gold standard for AI-generated images, the new 3.0 version, with its 'medium' model boasting 2 billion parameters, is facing challenges. It's not living up to expectations, especially in rendering human anatomy, leading to humorous memes and a subreddit meltdown. The 'large' model with 8 billion parameters is only available online through a paid API, which is not the preferred method for local use. The community is currently in a 'Wild West' phase, experimenting with settings to optimize the AI's performance. The AI shows promise in creating environments and pixel art, but struggles with more complex human figures and activities like skiing and snowboarding. The video creator also mentions the need for a refined model and community fine-tuning to improve the AI's capabilities.



💡Stable Diffusion

Stable Diffusion is an AI model used for generating images from textual descriptions. In the video, it's mentioned as having a significant following and being a 'gold standard' in AI image creation. The script discusses the release of Stable Diffusion 3, which has caused some controversy due to its performance issues.


API stands for Application Programming Interface, which is a set of rules and protocols for building software applications. In the context of the video, the API for Stable Diffusion 3 allows users to generate images online but requires payment, which is a point of contention among users who prefer local use.


In the field of AI, parameters are variables in a model that the system learns to adjust during training. The script mentions '2 billion parameters' for the medium model and '8 billion parameters' for the large model of Stable Diffusion 3, indicating the complexity and capacity of the models.


Fine-tuning refers to the process of making minor adjustments to a machine learning model to improve its performance on a specific task. The video suggests that the community needs to fine-tune the larger Stable Diffusion 3 model to make it better at generating images.


A subreddit is a community within the social media platform Reddit, each dedicated to a specific topic. The script mentions the Stable Diffusion subreddit, where fans are currently discussing and debating the capabilities and issues of the new Stable Diffusion 3 release.


A meme is an idea, behavior, or style that spreads from person to person within a culture, often through the internet. The video describes how Stable Diffusion 3 has become a source of humor, generating images that are being turned into memes, particularly those involving human anatomy and text on cardboard signs.

💡Pixel Art

Pixel art is a form of digital art where images are created on the pixel level. The script praises Stable Diffusion 3 for its ability to generate impressive pixel art images, showcasing one such example in the video.

💡Master Chief

Master Chief is a character from the video game series 'Halo'. The video uses 'Master Chief' as a test subject for the AI model, noting that the generated images were not satisfactory, indicating the model's struggle with certain subjects.


Proportions refer to the relative size or length of parts in relation to each other. The script criticizes the AI model for creating images with weird proportions, particularly when generating images of Master Chief.


In the context of the video, the community refers to the group of users and developers who are engaged with the Stable Diffusion project. The script suggests that the community will play a crucial role in fine-tuning the AI model to improve its performance.

💡Comfy UI

Comfy UI appears to be a user interface tool or software mentioned in the video for interacting with Stable Diffusion 3. The script recommends it to viewers, noting that it's easy to install and use for image generation.


The internet is reacting to the release of Stable Diffusion 3 with mixed reviews due to its performance issues.

Stable Diffusion 1.5 is considered the gold standard for AI image creation.

Stable Diffusion 3 is a significant milestone but has not met user expectations locally with its medium model.

SD3 medium has 2 billion parameters, which is less than half of the large model's 8 billion parameters.

The large model with 8 billion parameters is available online but requires payment.

Users are currently struggling to find the ideal settings for Stable Diffusion 3.

The Stable Diffusion subreddit is experiencing a meltdown due to the software's shortcomings in creating human images.

Stable Diffusion 3 excels at creating environments but fails at human anatomy, leading to humorous memes.

The software does well with text, especially on cardboard, which has become a running joke in the community.

A popular meme involves images of women laying on grass, showcasing the software's current limitations.

Stable Diffusion 3 surprisingly performs well with pixel art, which is considered an impressive feature.

The software's ability to handle long prompts from Chat GPT is noted as a positive aspect.

Comparisons between the local SD3 medium and API versions reveal significant differences in output quality.

The software struggles with specific subjects like skiing, snowboarding, and the 'Master Chief' character.

The need for a larger model, SD3 large, is emphasized for better fine-tuning and improved results.

The community's role in refining the model to improve its capabilities is highlighted.

The video creator shares their personal experience and experiments with Stable Diffusion 3.

Comfy UI is recommended for those interested in using Stable Diffusion 3, with a note on its ease of installation.

The video concludes with an invitation for viewers to join the Discord for more resources and tweaks.