pixray-pixel

Maintainer: dribnet

Total Score

19

Last updated 5/19/2024
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Model LinkView on Replicate
API SpecView on Replicate
Github LinkView on Github
Paper LinkNo paper link provided

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Model overview

pixray-pixel is an image generation system that combines various previous ideas, including Perception Engines, CLIP guided GAN imagery, and techniques from Ryan Murdoch, Katherine Crowson, and Kevin Frans. It can generate detailed pixel art images from text prompts, with the ability to control the aspect ratio and rendering engine. This model is similar to others like controlnet-scribble, sd_pixelart_spritesheet_generator, and All-In-One-Pixel-Model, which also generate pixel art from text prompts.

Model inputs and outputs

pixray-pixel takes text prompts as input and generates corresponding pixel art images as output. The model allows users to control the aspect ratio (wide vs. square) and the rendering engine (pixel) used to generate the images.

Inputs

  • Prompts: Text prompts that describe the desired image
  • Aspect: Aspect ratio of the output image (wide vs. square)
  • Drawer: Rendering engine to use (pixel)

Outputs

  • Output images: Pixel art images generated from the input prompts

Capabilities

pixray-pixel can generate a wide variety of pixel art scenes and objects, from fantastical landscapes to detailed characters and objects. The images have a distinct, retro-inspired aesthetic that can be useful for creating pixel art assets for games, animations, and other digital media.

What can I use it for?

You can use pixray-pixel to create pixel art for a variety of projects, such as:

  • Game assets (sprites, backgrounds, UI elements)
  • Pixel art illustrations and animations
  • Pixel art-inspired digital art and designs
  • Retro-themed social media content and branding

The model's ability to generate diverse pixel art from text prompts makes it a versatile tool for creators looking to incorporate this aesthetic into their work.

Things to try

Experiment with different types of prompts to see the range of pixel art the model can generate. Try prompts that evoke specific genres, styles, or themes (e.g., "cyberpunk cityscape", "fantasy forest", "retro arcade game"). You can also try combining prompts with the different aspect ratio and rendering engine options to see how the output changes.



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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