S2ML-Generators VS doohickey

Compare S2ML-Generators vs doohickey 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)

doohickey

Doohickey is a stable diffusion tool for technical artists who want to stay up-to-date with the latest developments in the field. (by aicrumb)
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S2ML-Generators doohickey
3 1
178 39
- -
2.7 10.0
7 months ago over 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

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

doohickey

Posts with mentions or reviews of doohickey. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-20.
  • List of Stable Diffusion systems - Part 3
    14 projects | /r/StableDiffusion | 20 Sep 2022
    (Added Sep. 16, 2022) Colab notebook Doohickey_Diffusion by aicrumb. GitHub repo. Tutorial. txt2img. img2img. Optionally can use guidance by a CLIP-like model, instead of using classifier-free guidance. "CLIP Guidance can increase the quality of your image the slightest bit [...]. [...] it slows down the generation time by around 5x."

What are some alternatives?

When comparing S2ML-Generators and doohickey 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]

HidamariDiffusionColab - colab for stable diffusion

ArtLine - A Deep Learning based project for creating line art portraits.

ai-notebooks - Various ai notebooks

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.

notebooks - Notebooks using the Hugging Face libraries 🤗

PyVaporation - The solution for modelling pervaporation membrane performance based on experimental data

stable_diffusion_interp

sd-webui-colab - A repo for the maintenance of the Colab version of stable-diffusion-webui repo

stable-diffusion

stable-diffusion-colab - Adapdet for google colab