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)
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 ;) (by MohamadZeina)
| S2ML-Art-Generator | Disco_Diffusion_Local | |
|---|---|---|
| 1 | 7 | |
| 101 | 312 | |
| - | - | |
| 7.3 | 1.8 | |
| over 2 years ago | almost 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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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.
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.
Disco_Diffusion_Local
Posts with mentions or reviews of Disco_Diffusion_Local.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-19.
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missing "nvidia-smi" trying to run disco diffusion locally
I am using Ubuntu, Anaconda, and all installs as GitHub instructions say: https://github.com/MohamadZeina/Disco_Diffusion_Local
- How can I use Primary model (A) and Secondary model (B) on colab AUTOMATIC1111
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Help! Attempts at running DD locally are being thwarted by CUDA errors.
I tried DD on a Colab notebook but wanted to run it locally for faster render times. I’m now trying to use this package to run DD locally.
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What hardware does Disco Diffusion need to run at speeds like MidJourney, Stable Diffusion or DALL-E?
Initially I used this guide to setup a pytorch wsl environment but I installed a newer anaconda version (should be self explanatory when you reach this step), this environment works also fine for the newer DD 5.6 and my fork too.
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/help - Setting up DD Locally via Jupiter no outcome
I just followed the tutorial from MZ (https://github.com/MohamadZeina/Disco_Diffusion_Local) even if I never touched anything similar in my life (just have an artist background why I’m interested in doing more AI generated Art)
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The Fear Of Dolls (5.2 local instance on 2070)
I used this repo to setup a local 5.2 instance.
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Purity and Grace (+Local Windows Guide)
Here’s a guide on how I ran this locally on my windows machine :). After I wrote this I saw that something similar has been posted here already - my approach is slightly different so some may find it useful.
What are some alternatives?
When comparing S2ML-Art-Generator and Disco_Diffusion_Local 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
discoart - 🪩 Create Disco Diffusion artworks in one line
ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
ArtLine - A Deep Learning based project for creating line art portraits.
doohickey - Doohickey is a stable diffusion tool for technical artists who want to stay up-to-date with the latest developments in the field.
ai-art-generator - For automating the creation of large batches of AI-generated artwork locally.