S2ML-Generators
S2ML-Art-Generator
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| S2ML-Generators | S2ML-Art-Generator | |
|---|---|---|
| 3 | 1 | |
| 178 | 101 | |
| - | - | |
| 2.7 | 7.3 | |
| 7 months ago | over 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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S2ML-Generators
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Sense of AI | Vqgan+Clip
At default settings_ https://github.com/justin-bennington/S2ML-Generators
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The Grand Mausoleum, From an AI
Not OP but based on how this looks it is probably styleGAN. They took an image and combined it with a text prompt and an image dataset GAN to modify the image to a different style. So it's not exactly AI 'generated' images, it's more like images modified by an AI. Here's a colab notebook that you can use to run a VQGAN CLIP image generator: https://github.com/justin-bennington/S2ML-Generators/find/main
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Asked a AI to draw "The Long Dark" Outcome is interesting.
I found a public google colab which seems to be the same implementation but not easy to use : https://github.com/justin-bennington/S2ML-Generators
S2ML-Art-Generator
What are some alternatives?
ArtLine - A Deep Learning based project for creating line art portraits.
ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
vqgan-clip-generator - Implements VQGAN+CLIP for image and video generation, and style transfers, based on text and image prompts. Emphasis on ease-of-use, documentation, and smooth video creation.
Disco_Diffusion_Local - Getting the latest versions of Disco Diffusion to work locally, instead of colab. Including how I run this on Windows, despite some Linux only dependencies ;)
doohickey - Doohickey is a stable diffusion tool for technical artists who want to stay up-to-date with the latest developments in the field.
ai-art-generator - For automating the creation of large batches of AI-generated artwork locally.