S2ML-Generators VS vqgan-clip-generator

Compare S2ML-Generators vs vqgan-clip-generator and see what are their differences.

S2ML-Generators

Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content (by somewheresy)

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. (by rkhamilton)
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S2ML-Generators vqgan-clip-generator
3 2
178 110
- -
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
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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S2ML-Generators

Posts with mentions or reviews of S2ML-Generators. We have used some of these posts to build our list of alternatives and similar projects.
  • Sense of AI | Vqgan+Clip
    1 project | /r/MediaSynthesis | 9 Feb 2022
    At default settings_ https://github.com/justin-bennington/S2ML-Generators
  • The Grand Mausoleum, From an AI
    1 project | /r/ImaginaryArchitecture | 23 Nov 2021
    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
  • Asked a AI to draw "The Long Dark" Outcome is interesting.
    1 project | /r/thelongdark | 18 Nov 2021
    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

Posts with mentions or reviews of vqgan-clip-generator. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing S2ML-Generators and vqgan-clip-generator you can also consider the following projects:

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.