This is a collection of text-to-image tools, evolved from the artwork of the same name. Based on CLIP model and Lucent library, with FFT/DWT/RGB parameterizes (no-GAN generation). Illustrip (text-to-video with motion and depth) is added. DWT (wavelets) parameterization is added. Check also colabs below, with VQGAN and SIREN+FFM generators. Tested on Python 3.7 with PyTorch 1.7.1 or 1.8. Generating massive detailed textures, a la deepdream, fullHD/4K resolutions and above, various CLIP models (including multi-language from SBERT), continuous mode to process phrase lists (e.g. illustrating lyrics), pan/zoom motion with smooth interpolation. Direct RGB pixels optimization (very stable) depth-based 3D look (courtesy of deKxi, based on AdaBins), complex queries:
text and/or image as main prompts, separate text prompts for style and to subtract (avoid) topics. Starting/resuming process from saved parameters or from an image.

Features

  • Generating massive detailed textures, a la deepdream
  • FullHD/4K resolutions and above
  • Various CLIP models (including multi-language from SBERT)
  • Continuous mode to process phrase lists (e.g. illustrating lyrics)
  • Pan/zoom motion with smooth interpolation
  • Direct RGB pixels optimization (very stable)

Project Samples

Project Activity

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License

MIT License

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Additional Project Details

Programming Language

Python

Related Categories

Python AI Video Generators, Python Generative AI

Registered

2023-03-22