🖼️
Pixray
  • Docs for Pixray
  • Introduction
    • Introduction to Pixray
  • Quickstart
    • Installation
    • Generating an Image
    • Using demo colabs
    • Generating online (without installation)
    • FAQ
  • Docs
    • Primary settings
    • Fine settings
    • Image control settings
    • Drawer Settings
    • Misc/Display settings
    • Losses
    • Functional video movements
    • Image filters
  • Tutorial
    • Changing drawers
    • Changing primary settings
    • Guiding output with prompts
    • Guiding output with images
    • Guiding output with losses
    • Guiding output with image filters (ColorMapper)
    • Making a video using generation frames
    • Making a video using functional movements
    • Making a video using different prompts (story mode)
    • Working with weaker machines
  • Advanced
    • Empirical testing - comparing output quality
    • Developing a custom loss
    • Developing a custom drawer
    • Developing a custom image filter
    • Developing a function video movement
    • Modifying Pixray
  • Future
    • make Image Filter subclass - colormapper as subclass
    • Guide video (move/story) within pixray
    • Batch run for images and video
Powered by GitBook
On this page

Docs for Pixray

a guide to pixray

sea-monsters

Pixray is a state of the art text-to-image neural generation engine, with support for VQGAN, Pixeldraw, Clipdraw, and Diffusion.

Pixray can be run from python, and from the command line.

Join the discussion on discord.

Check out more in the official repository, and the README.

Now in the official pixray org

NextIntroduction to Pixray

Last updated 3 years ago