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The noise latent perlinpinpin extension features the NoisyLatentPerlin node, enabling the creation of latent spaces filled with Perlin-based noise, which can be utilized effectively by samplers.
The noise_latent_perlinpinpin
extension is designed to create latent spaces filled with Perlin-based noise that can be utilized by samplers in AI art generation. This extension is particularly useful for AI artists looking to add a unique and coherent noise pattern to their generated images, which can enhance the visual quality and consistency of upscaled images. By using Perlin noise, the extension helps in breaking the smooth, predictable patterns often seen in traditional noise, making the generated images more natural and visually appealing.
At its core, noise_latent_perlinpinpin
leverages Perlin noise to fill latent spaces. Perlin noise is a type of gradient noise used in computer graphics to create more natural-looking textures. Unlike random noise, Perlin noise produces smooth, continuous patterns that are visually more appealing. The extension modifies this noise to ensure it remains predictable at all scales, which is crucial for maintaining consistency during image upscaling.
To break the smooth Perlin pattern and make it more suitable for AI art generation, the extension uses a simple trick:
noise = torch.remainder(torch.abs(noise)*1000000,11)/11
This line of code disrupts the smoothness of the Perlin noise while keeping it predictable, ensuring that the noise pattern remains coherent across different resolutions.
The primary feature of this extension is its ability to generate Perlin-based noise in latent spaces. This noise can be used by various samplers to create more natural and coherent images.
The extension supports all resolutions, making it versatile for different image sizes. However, it is important to maintain the same aspect ratio when upscaling to ensure the patterns match correctly.
The algorithm has been simplified to make it easier to use, with no artifacts in the generated noise. This makes it accessible even for those who may not have a strong technical background.
The extension works well with other tools and nodes, such as the city96 latent upscaler, which can be used to upscale the latent in the middle of the generation process for better results.
Currently, the extension does not have different models. It focuses on generating Perlin-based noise that can be used across various resolutions and settings.
Q: Can I use this extension with any sampler?
For additional resources, tutorials, and community support, you can explore the following:
noise_latent_perlinpinpin
extension, leading to more creative and high-quality AI-generated art.© Copyright 2024 RunComfy. All Rights Reserved.