low-poly-hd-logos-icons

Maintainer: sd-concepts-library

Total Score

57

Last updated 5/28/2024

🔎

PropertyValue
Run this modelRun on HuggingFace
API specView on HuggingFace
Github linkNo Github link provided
Paper linkNo paper link provided

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Model overview

The <low-poly-hd-logos-icons> model is a Textual Inversion concept that has been taught to Stable Diffusion. This allows users to generate low-poly high-definition logos and icons using Stable Diffusion. Similar models include moebius, kuvshinov, midjourney-style, and the stable-diffusion-LOGO-fine-tuned model.

Model inputs and outputs

The <low-poly-hd-logos-icons> model takes text prompts as input and generates corresponding low-poly high-definition logos and icons as output. This allows users to create a variety of custom logos and icons to use in their designs or projects.

Inputs

  • Text Prompt: A text description of the desired logo or icon, such as "logo of a pirate" or "logo of a sunglass with girl".

Outputs

  • Generated Image: A low-poly high-definition image of the requested logo or icon.

Capabilities

The <low-poly-hd-logos-icons> model can generate a wide range of low-poly high-definition logos and icons based on text prompts. This can be useful for creating custom branding, icons, and graphics for a variety of applications.

What can I use it for?

The <low-poly-hd-logos-icons> model can be used to create custom logos and icons for various projects, such as websites, mobile apps, or marketing materials. The low-poly, high-definition style of the generated images can also be used for design elements, illustrations, or other creative projects.

Things to try

Some ideas for things to try with the <low-poly-hd-logos-icons> model include:

  • Generating logos for fictional companies or products
  • Creating icons for a mobile app or website
  • Experimenting with different text prompts to see the range of styles and designs the model can produce
  • Incorporating the generated logos and icons into larger design projects, such as branding or illustrations


This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

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