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Thisbeachdoesnotexist.com

Paid

AI-generated beaches that don't exist

5.0
New AI ToolsContact
Outputs: image
Type
Saas
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About Thisbeachdoesnotexist.com

Thisbeachdoesnotexist.com is a web application that uses StyleGAN2-Ada, a generative adversarial network architecture developed by NVIDIA Labs, to create photorealistic beach images that do not exist in reality. The site features a training progress video showing the network's learning over 25,000 kimg (25 million images), allows users to generate random beach images, provides K-Means clustering to group similar images into 376 clusters, and offers a download of the full trained network (362 MB) for further experimentation or transfer learning. The output resolution is 1280×768 pixels.

Key Features

Generates random photorealistic beach images using StyleGAN2-Ada
K-Means clustering to group similar generated images into 376 clusters
Downloadable trained network (362 MB) for transfer learning or further experiments
Training progress video showing network learning over 25,000 kimg
High-resolution output at 1280×768 pixels

Pros & Cons

Pros
  • Generates highly realistic beach images with a low FID score of 3.14
  • Simple interface to generate and explore random images
  • Free to use online without account or payment
  • Downloadable model allows for offline experimentation and retraining
Cons
  • Limited to only beach themes, no other scene generation
  • Downloaded network is large (362 MB) and requires technical expertise to use
  • No API or programmatic access provided
  • Website offers minimal instructions or documentation for non-technical users

Best For

Creating unique, copyright-free beach imagery for design or art projectsResearching GAN training dynamics and clustering techniquesTransfer learning on new datasets using the pre-trained network

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FAQ

What style of GAN does this tool use?
It uses StyleGAN2-Ada, the GAN architecture published by researchers from NVIDIA Labs, with non-square support and improvements from RoyWheels/stylegan2-ada.
What is the resolution of the generated images?
The generated beach images have a resolution of 1280×768 pixels.
Can I download the trained model?
Yes, a 362 MB network file is available for download for experiments or transfer learning.
How many images were used for training?
The dataset contained 20,000 images and the network was trained for 25,000 kimg (25 million images seen).