Generative Art

PatternAI

PatternedAI is an AI tool for generating royalty-free patterns for products. It allows users to quickly and easily generate unlimited, unique designs, customized to their needs. The platform offers free downloads of 10 pattern generations, and premium features such as unlimited image generations and higher resolution patterns. Patterns generated can also be shared in a public gallery.

Enterprise SOC2 Compliant platform security layers.
Seamless external API integration hooks.
PatternAI

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neoSVG
Generative Art

neoSVG

neoSVG tool is a state-of-the-art AI-driven SVG Generator. It enables users to generate a wide variety of SVG images, from astronaut cats to circuit brains. Users can choose from three different subscription plans based on their needs, with each plan offering different features such as monochromatic generations, SVG downloads, and monthly credits. It also provides access to additional resources such as blogs, docs, and channels.

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ZoomScape.ai
Generative Art

ZoomScape.ai

Zoomscape AI is a free tool that enables users to create unique, fun, and creative backgrounds for their Zoom meetings in seconds with AI-powered features. It allows users to showcase their personality and make a memorable impression on their next video call.

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Artisse
Generative Art

Artisse

Artisse is a mobile app that uses AI algorithms to create hyper-realistic self-portraits. It allows users to personalize every detail of their photos, from scenario to style, and adjust lighting and ambiance to match their mood. It also supports text descriptions and reference photos to generate high-quality images. It is available on both the App Store and the Play Store.

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Point-e
Generative Art

Point-e

A new way to quickly generate 3D models from text. Normally, it can take multiple hours to generate one 3D model from text, but this new method can generate a 3D model in only 1-2 minutes. To do this, it first generates a picture from the text then uses a different model to turn the picture into a 3D point cloud. The 3D models produced with this method are not as good as the ones made with the normal method, but it is much faster.

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