Stable Diffusion 3 is... something
TLDRThe internet is abuzz with mixed reactions to the release of Stable Diffusion 3, an AI image generation tool. While version 1.5 is the benchmark, version 3, with its 2 billion parameters, is underwhelming compared to the 8 billion parameter model available online for a fee. The community is experimenting with settings to optimize the local use of SD3 Medium, which excels in creating environments but struggles with human anatomy. The subreddit is flooded with memes and discussions on ideal settings, with many seeking the upcoming SD3 Large for better results. Users are encouraged to share their findings and settings for improved image generation.
Takeaways
- 😡 Internet users are frustrated with the release of Stable Diffusion 3 due to its issues.
- 👑 Stable Diffusion 1.5 is considered the gold standard for AI image creation.
- 📈 Stable Diffusion 3 comes in two versions: Medium with 2 billion parameters and Large with 8 billion parameters.
- 💻 The Large model can only be used online via API and requires payment, which is a drawback for those wanting local use.
- 🤔 The community is currently in the 'Wild West' phase, trying to figure out the best settings for Stable Diffusion 3.
- 🎨 Stable Diffusion 3 performs well with environments but struggles with human anatomy, often resulting in memes.
- 📜 It has a peculiar proficiency with text, especially on cardboard, which seems to be a result of its training data.
- 🎭 A current meme involves images of women laying on grass, showcasing the AI's chaotic output.
- 👾 The AI surprisingly does well with pixel art, indicating some impressive capabilities.
- 🔍 Comparisons between the local Medium version and the API versions show significant differences in output quality.
- 🛠 Fine-tuning and community involvement are needed to refine the model for better performance across various tasks.
- 🔗 The speaker recommends using Comfy UI for experimenting with Stable Diffusion, which allows for easy setup and customization.
Q & A
What is the main issue with Stable Diffusion 3 that the internet is discussing?
-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 problems in generating satisfactory images, especially of people.
What is the difference in parameters between Stable Diffusion 3 medium and the large model?
-Stable Diffusion 3 medium has 2 billion parameters, whereas the large model has 8 billion parameters, making it four times larger and presumably more capable.
How can users access the 8 billion parameter model of Stable Diffusion 3?
-Users can access the 8 billion parameter model online using the API, but it requires payment.
What is the current state of the Stable Diffusion subreddit regarding the release of Stable Diffusion 3?
-The subreddit is in a state of meltdown, with users expressing disappointment and confusion over the capabilities and settings of Stable Diffusion 3.
What types of images is Stable Diffusion 3 currently performing well with?
-Stable Diffusion 3 is performing well with environments, pixel art, and text, especially text on cardboard.
What are some of the humorous outcomes of Stable Diffusion 3's image generation?
-Some humorous outcomes include human anatomy text on cardboard signs and women laying on grass, which have become memes within the community.
What is the 'Master Chief test' mentioned in the script, and how did Stable Diffusion 3 perform in this test?
-The 'Master Chief test' is an informal test to see how well the model can generate an image of the character Master Chief from the Halo series. Stable Diffusion 3 performed poorly in this test, producing some of the worst Master Chief images seen from a mainstream model.
What does the community need to improve the performance of Stable Diffusion 3?
-The community needs access to the larger model, SD3 large, and needs to fine-tune and refine the model to make it better at generating images across various categories.
What is the current limitation of Stable Diffusion 3 when it comes to generating images of people?
-Stable Diffusion 3 is struggling with generating accurate human anatomy and proportions, especially in certain scenarios like skiing and snowboarding.
How did the user in the script experiment with Stable Diffusion 3?
-The user experimented with different settings and prompts, comparing the local SD3 medium with the API versions, and also tested the model's ability to handle long prompts and understand spatial relationships in images.
What tool did the user in the script use to interact with Stable Diffusion 3, and how can others access it?
-The user used Comfy UI to interact with Stable Diffusion 3. Others can access it by searching for 'Comfy UI' on Google and following the installation instructions.
Outlines
🤖 AI Image Generation Challenges with Stable Diffusion 3
The Stable Diffusion 3 (SD3) medium model, boasting 2 billion parameters, is facing community backlash due to its underwhelming performance compared to the gold standard SD1.5. While the large model with 8 billion parameters is available online via API for a fee, the community desires a locally accessible, refined model. Initial experiences with SD3 are mixed, with the model excelling in creating environments but struggling with human anatomy and specific activities like skiing. The AI's text rendering on cardboard signs is surprisingly adept, yet it falls short in generating Master Chief images, indicating the need for fine-tuning and community input. The video script also mentions the use of Comfy UI for testing and sharing settings, suggesting a collaborative effort to improve the AI's capabilities.
Mindmap
Keywords
💡Stable Diffusion
💡API
💡Parameters
💡Local usage
💡Wild West
💡Human anatomy
💡Pixel art
💡Fine-tuning
💡Subreddit
💡Comfy UI
💡Discord
Highlights
The internet is reacting to the release of Stable Diffusion 3, which has been met with mixed reviews due to its performance issues.
Stable Diffusion 1.5 is considered the gold standard for AI image creation, setting a high bar for its successor.
Stable Diffusion 3, specifically the medium model with 2 billion parameters, is now available for local use on personal computers.
The large model with 8 billion parameters is superior but requires online API use and payment.
The current state of Stable Diffusion 3 is likened to the 'Wild West,' with users still figuring out the best ways to utilize it.
The Stable Diffusion subreddit is experiencing a meltdown, with users debating the capabilities and shortcomings of the new model.
Stable Diffusion 3 performs well with creating environments but struggles with human anatomy, often resulting in humorous memes.
The model excels at generating text, especially on cardboard, which has become a running joke within the community.
A popular meme involves images of women laying on grass, showcasing the model's current limitations and creative outputs.
Pixel art generation is one area where Stable Diffusion 3 has shown impressive capabilities.
The model's ability to understand and generate complex prompts, such as those provided by chat GPT, is notable.
Comparisons between the local medium model and the API versions reveal significant differences in output quality.
The model struggles with specific subjects like skiing, snowboarding, and generating accurate representations of Master Chief.
The need for a larger model, Stable Diffusion 3 large, is emphasized to improve the model's performance across various tasks.
Community involvement is called for to fine-tune and refine the model for better performance.
The video creator shares their personal experiments and findings with the Stable Diffusion 3 model.
Comfy UI is recommended for those looking to experiment with Stable Diffusion 3, allowing for easy drag and drop functionality.
The creator offers to share their custom settings and tweaks on Discord for those interested in replicating their results.