ArtLine VS S2ML-Generators

Compare ArtLine vs S2ML-Generators 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)
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ArtLine S2ML-Generators
12 3
3,531 178
- -
1.4 2.7
about 1 year ago 7 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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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ArtLine

Posts with mentions or reviews of ArtLine. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-25.

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

What are some alternatives?

When comparing ArtLine and S2ML-Generators you can also consider the following projects:

DeOldify - A Deep Learning based project for colorizing and restoring old images (and video!)

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]

Toon-Me - A Deep Learning project to Toon Portrait Images

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.

Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

U-2-Net - The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

APDrawingGAN - Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)

clip-retrieval - Easily compute clip embeddings and build a clip retrieval system with them

rtdl - Research on Tabular Deep Learning (Python package & papers) [Moved to: https://github.com/Yura52/rtdl]

colab_openvino - OpenVINO如何安裝在Colab並執行mobilenet-V1影像分類及mobilenet-SSD物件偵測範例

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs