S2ML-Generators
vqgan-clip-generator
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S2ML-Generators | vqgan-clip-generator | |
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3 | 2 | |
178 | 110 | |
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2.7 | 0.0 | |
7 months ago | about 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | GNU General Public License v3.0 or later |
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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
vqgan-clip-generator
What are some alternatives?
S2ML-Art-Generator - Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content [Moved to: https://github.com/justin-bennington/S2ML-Generators]
ai-art-generator - For automating the creation of large batches of AI-generated artwork locally.
ArtLine - A Deep Learning based project for creating line art portraits.
AI-Art-Generator - A program that can add an artistic touch to any image.
image-crop-analysis - Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency
100DaysofMLCode - My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
creative-prediction - Creative Prediction with Neural Networks
analisis-numerico-computo-cientifico - Análisis numérico y cómputo científico
oemer - End-to-end Optical Music Recognition (OMR) system. Transcribe phone-taken music sheet image into MusicXML, which can be edited and converted to MIDI.