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)
discoart
🪩 Create Disco Diffusion artworks in one line (by jina-ai)
| Disco_Diffusion_Local | discoart | |
|---|---|---|
| 7 | 11 | |
| 312 | 3,838 | |
| - | 0.1% | |
| 1.8 | 2.8 | |
| almost 2 years ago | about 1 year ago | |
| Jupyter Notebook | Python | |
| 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.
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.
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.
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.
discoart
Posts with mentions or reviews of discoart.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-03.
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Has anyone gotten disco diffusion to run locally
Just look at basic Python syntax and read through the discoart readme and it should all make sense :). If you still get lost, me and other people are always here to help more
- Which AI (Art) Generator is your Favourite?
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What hardware does Disco Diffusion need to run at speeds like MidJourney, Stable Diffusion or DALL-E?
just install latest Python from official page, then PyTorch from here (make sure it's some of the CUDA versions) and then follow the steps here and you should be good to go
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Stable Diffusion Interactive Google Colab Notebook for Image Generation
discoart is a python library that significantly simplifies interacting with disco diffusion. Install the library with pip, a single import statement, and call the create() function and you're running. I've used it with a Google Colab sheet set to use a GPU runtime and had a good time generating until I hit Big G's limits.
- Discoart - Create disco diffusion artworks in one line
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AI painting with the keywords: Universe, Goku, Dragon Ball, Supernova, Mist. Instantly became my favorite wallpaper
try out discoart! Takes a bit of practice though
- Isometric Pinball Island
- First nice portrait on 5.6 running locally on 2070 (comparison untouched / GFPGAN)
- Would DDArt created in one line really work?
- I made DiscoArt package to ease the integration of DD in production system
What are some alternatives?
When comparing Disco_Diffusion_Local and discoart 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]
disco-diffusion
Simple_Prompt_Generator - Simple prompt generator for Midjourney, DALLe, Stable and Disco Diffusion, and etc.
stylegan2-projecting-images - Projecting images to latent space with StyleGAN2.
docarray - Represent, send, store and search multimodal data
clip-guided-diffusion - A CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.
disco-diffusion
dalle-mini - DALL·E Mini - Generate images from a text prompt
PyVaporation - The solution for modelling pervaporation membrane performance based on experimental data
pyttv - A tool for generating (music-)videos using generative models
PorousMediaLab - PorousMediaLab - toolbox for batch and 1D reactive transport modelling
diffusion-for-beginners - denoising diffusion models, as simple as possible
Disco_Diffusion_Local vs S2ML-Art-Generator
discoart vs disco-diffusion
discoart vs Simple_Prompt_Generator
discoart vs stylegan2-projecting-images
discoart vs docarray
discoart vs clip-guided-diffusion
discoart vs disco-diffusion
discoart vs dalle-mini
discoart vs PyVaporation
discoart vs pyttv
discoart vs PorousMediaLab
discoart vs diffusion-for-beginners