S2ML-Art-Generator vs doohickey

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] (by justin-bennington)

ML generative-art vqgan-clip clip-guided-diffusion

DISCONTINUED

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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. (by aicrumb)

clip clip-guided-diffusion diffusion stable-diffusion

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S2ML-Art-Generator		doohickey
	Project
1	Mentions	1
101	Stars	39
-	Growth	-
7.3	Activity	10.0
over 2 years ago	Latest Commit	over 1 year ago
Jupyter Notebook	Language	Jupyter Notebook
MIT License	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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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-Art-Generator

Posts with mentions or reviews of S2ML-Art-Generator. We have used some of these posts to build our list of alternatives and similar projects.

"Man at Beach at Night" and "Man on Bench at Night" VQGAN+CLIP AI generated
1 project | /r/generative | 23 Oct 2021

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-Art-Generator and doohickey you can also consider the following projects:

S2ML-Generators - Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content

HidamariDiffusionColab - colab for stable diffusion

ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

ai-notebooks - Various ai notebooks

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

notebooks - Notebooks using the Hugging Face libraries 🤗

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 ;)

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

ai-art-generator - For automating the creation of large batches of AI-generated artwork locally.

stable_diffusion_interp

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

stable-diffusion