Playground AI Tried to Break the Internet. NEW Stable Diffusion Base Model!

Sebastian Kamph
5 Dec 202310:04

TLDRPlayground AI has introduced a new image AI model, Playground V2, which they claim outperforms Stable Diffusion XL. The model is available for free use on their website and can also be downloaded for local use. Early benchmarks show Playground V2 was preferred 2.5 times more than the current leading open model. The model is also available on Hugging Face, with weights in 256 and 512 pixel stages, and an aesthetic 1024 model. The video demonstrates the use of the model through various prompts, showing a range of image styles from painterly to photorealistic, though noting the images tend to be a bit too smooth. The host also attempts to run the model locally, with some success, and encourages viewers to test it out and share their thoughts.

Takeaways

  • πŸš€ Playground AI has released a new image AI model that claims to outperform Stable Diffusion XL.
  • πŸ†“ The new model is available for free use on Playground's website and can also be downloaded for local use.
  • πŸ” Playground's model was reportedly preferred 2.5 times more than the current leading open model based on early benchmarks.
  • πŸ“ˆ A comparison between Playground V2 and Stable Diffusion XL (base model) is shown, with Playground V2 appearing to be more detailed.
  • πŸ“Έ Users are encouraged to test the model against custom Stable Diffusion XL models to see if it can outperform them.
  • 🌐 The model is also available on Hugging Face, and commercial use is permitted.
  • πŸ–ΌοΈ Example images provided show a tendency towards smoothness, with a suggestion of a desire for more photorealistic results.
  • πŸ”— The full blog post on the benchmark is available for more detailed comparisons and information.
  • πŸ’» Instructions are given on how to download the model and use it, including the steps to integrate it into a local setup.
  • πŸ€” The reviewer expresses some skepticism about the smoothness of the images and the need for more photorealistic outputs.
  • πŸ“ The user data from the comparisons and more detailed information is linked in the description for further exploration.

Q & A

  • What is the new image AI model that Playground claims to have developed?

    -The new image AI model developed by Playground is called Playground V2, which is a commercially open model that the team claims outperforms Stable Diffusion XL.

  • How can users access and use the Playground V2 model?

    -Users can access and use the Playground V2 model both on the Playground website and by downloading it locally.

  • What is the significance of the comparison between Playground V2 and Stable Diffusion XL?

    -The comparison shows that Playground V2 was preferred 2 and 1/2 times more than the current leading open model, Stable Diffusion XL, in early benchmarks.

  • Is commercial use of the Playground V2 model permitted?

    -Yes, commercial use of the Playground V2 model is permitted.

  • Where can users find the full blog post discussing the benchmarks and details of Playground V2?

    -Users can find the full blog post on the Playground website, where they are encouraged to read more about the benchmarks and model details.

  • What are the different pixel stages available for the Playground V2 model on Hugging Face?

    -The Playground V2 model is available in 256 and 512 pixel stages on Hugging Face, and with some searching, a 1024 pixel stage aesthetic model can also be found.

  • How does the user interface of Playground.com work?

    -When logged in, users have a prompt to the left, settings to the right, and can adjust the size, guidance, quality, details, and seed for image generation.

  • What are the default settings for Playground V2 in terms of steps and sampler?

    -The default settings for Playground V2 are 50 steps and the Oiler sampler.

  • How does the image quality of Playground V2 compare to Stable Diffusion XL in the provided examples?

    -In the provided examples, Playground V2 images appear to be a bit too smooth and lack some photorealism, which some users might find appealing but also get tired of quickly.

  • What are the challenges faced when trying to run Playground V2 locally?

    -Running Playground V2 locally can be challenging, especially for those who are not developers. The process may not work as intended, and there might be difficulties in loading the model correctly for optimal performance.

  • What does the speaker encourage the audience to do after testing Playground V2?

    -The speaker encourages the audience to test Playground V2, share their thoughts in the comments, and suggest better ways to use or improve the model.

  • How can users contribute to improving the use of Playground V2?

    -Users can contribute by trying out the model, providing feedback, sharing their experiences, and suggesting improvements or alternative methods for using the model in the comments section.

Outlines

00:00

πŸš€ Introduction to Playground V2 AI Model

The video introduces Playground Version 2, a new image AI model that is claimed by its creators to outperform Stable Diffusion XL. It is available for free use both on the Playground website and for local download. The model was reportedly preferred over the leading open model, Stable Diffusion XL, by a significant margin. The video provides a comparison between Playground V2 and SDXL, and suggests that viewers compare it with custom SDXL models. It also mentions that Playground V2 is available on Hugging Face and that commercial use is permitted. The video showcases example images generated by the model and discusses the model's performance in early benchmarks, noting a preference for Playground over SDXL. It also explores downloading and using different diffuser models, and provides a walkthrough of using the Playground interface to generate images with various prompts and settings.

05:02

πŸ–ΌοΈ Testing and Local Installation of Playground V2

The second paragraph delves into the testing of Playground V2 using custom XEL models and the challenges faced when comparing the results to the base model. The video discusses the default settings for Playground, including the number of steps and the sampler used. It also attempts to run the model locally, noting some difficulties due to a lack of expertise in development. The video demonstrates how to download and install the model using unit files and versions, and how to integrate it with a sampler for image generation. It highlights the process of adjusting settings to achieve baseline results and making comparisons with images from the Playground website. The video concludes by inviting viewers to test the model, share their findings in the comments, and offer suggestions for improvement.

Mindmap

Keywords

πŸ’‘Image AI Model

An 'Image AI Model' refers to artificial intelligence software designed to generate or manipulate images. In the context of the video, it is a new model introduced by Playground AI that is claimed to outperform the existing Stable Diffusion XL model. The model's ability to create images is central to the video's theme, as the host explores its capabilities and compares it to other models.

πŸ’‘Stable Diffusion XL

Stable Diffusion XL is an advanced AI image synthesis model that is used as a benchmark for comparison in the video. It is an existing model in the field of AI-generated images, and the new Playground V2 model is positioned as a superior alternative. The comparison is crucial as it establishes the context for the improvements and potential of the new model.

πŸ’‘Commercially Open Model

A 'Commercially Open Model' is an AI model that is available for use without restrictions, including for commercial purposes. The Playground V2 is described as such, indicating that it can be used by businesses and individuals alike for generating images, which is significant as it broadens the potential audience and applications of the model.

πŸ’‘Benchmark

In the context of the video, a 'Benchmark' refers to the standard or point of reference against which the new Playground V2 model's performance is measured. Early benchmarks are mentioned to show that Playground V2 is preferred over Stable Diffusion XL, which is essential for understanding the competitive landscape of AI image models.

πŸ’‘Hugging Face

Hugging Face is a platform mentioned in the video where the Playground V2 model is also available. It is an ecosystem for developers to share and use machine learning models, indicating that the Playground V2 model is accessible to a wide range of users through this platform, which is important for its adoption and use in various applications.

πŸ’‘Aesthetic Model

An 'Aesthetic Model' in the video refers to a specific version of the Playground V2 model that is designed to produce images with a particular focus on visual appeal or artistic quality. The 1024 aesthetic model is highlighted, suggesting that it is capable of higher quality image generation, which is a key selling point for the model.

πŸ’‘User Interface

The 'User Interface' or UI is the part of a computer program that users interact with to perform various tasks. In the video, the Playground website's UI is discussed, which allows users to input prompts and generate images using the AI model. The ease of use and functionality of the UI are important for the user experience and the practical application of the model.

πŸ’‘Prompt

A 'Prompt' in the context of AI image generation is the input or description given to the model to guide the type of image it produces. The video script discusses using different prompts to generate various images, which demonstrates how the AI interprets and responds to user instructions to create specific visuals.

πŸ’‘Resolution

The term 'Resolution' refers to the detail an image holds, typically measured in pixels. In the video, the host changes the resolution to 1024 by 1024 pixels when generating images, which is an important aspect as it determines the clarity and level of detail in the output images produced by the AI model.

πŸ’‘Sampler

A 'Sampler' in AI image generation is an algorithm used to select or generate parts of the final image based on the input data. The video mentions using different samplers like 'Oiler' when generating images with the Playground V2 model, which affects the style and outcome of the images produced.

πŸ’‘Photorealism

Photorealism is the quality of an image appearing extremely close to a photograph. The video discusses a desire to see more photorealistic images from the AI model, indicating a demand for images that are not only aesthetically pleasing but also highly realistic, which is a challenge and goal for AI image generation technology.

Highlights

Playground AI has released a new image generation model called Playground V2 that claims to outperform Stable Diffusion XL.

Playground V2 is available for free use both on the Playground website and for local download.

In benchmarks, Playground V2 was preferred 2.5 times more than the current leading open model Stable Diffusion XL.

Playground V2 is a commercially open model trained by the Playground team from scratch.

The model is available in 256, 512, and 1024 pixel stages on Hugging Face.

Commercial use of Playground V2 is permitted.

The model can generate images with a painterly, mid-journey vibe, but the faces and skin can appear too smooth at times.

The default settings for Playground V2 are CFG 50, 50 steps, and the Oiler sampler.

The model can be loaded locally using the Unit Loader and K-Sampler.

Loading the Playground model locally can produce different results compared to using the Stable Diffusion XL model.

The model can be used to generate stylistic images with prompts like "blue eyes, red hair, rusty helmet".

The model can produce photorealistic images when given the right prompts and settings.

Early benchmarks show Playground V2 is preferred over Stable Diffusion XL, but comparisons with custom SDXL models would be more informative.

The model generates images with a smoother, less photorealistic style compared to Stable Diffusion XL.

The model can be used to create painterly, vibrant images with long hair and a medieval tapestry background.

Loading the Playground model locally can be done by downloading the full 10GB file and placing it in the correct folder.

Loading the model locally can produce results similar to those on the Playground website.

The model was just released and may require further testing and optimization to fully replicate Playground's results.