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S2ML-Generators Alternatives
Similar projects and alternatives to S2ML-Generators
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S2ML-Art-Generator
Discontinued 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] (by justin-bennington)
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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.
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factorio-blueprint-visualizer
A python library to artfully visualize Factorio Blueprints and an interactive web demo for using it.
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doohickey
Doohickey is a stable diffusion tool for technical artists who want to stay up-to-date with the latest developments in the field.
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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 ;)
S2ML-Generators discussion
S2ML-Generators reviews and mentions
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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
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Stats
somewheresy/S2ML-Generators is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of S2ML-Generators is Jupyter Notebook.