Disco_Diffusion_Local
vqgan-clip-generator
| Disco_Diffusion_Local | vqgan-clip-generator | |
|---|---|---|
| 7 | 2 | |
| 312 | 111 | |
| - | - | |
| 1.8 | 0.0 | |
| almost 2 years ago | over 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | GNU General Public License v3.0 or later |
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Disco_Diffusion_Local
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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.
vqgan-clip-generator
What are some alternatives?
discoart - 🪩 Create Disco Diffusion artworks in one line
ai-art-generator - For automating the creation of large batches of AI-generated artwork locally.
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]
AI-Art-Generator - A program that can add an artistic touch to any image.
image-crop-analysis - Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency
S2ML-Generators - Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content
100DaysofMLCode - My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
creative-prediction - Creative Prediction with Neural Networks
analisis-numerico-computo-cientifico - Análisis numérico y cómputo científico
oemer - End-to-end Optical Music Recognition (OMR) system. Transcribe phone-taken music sheet image into MusicXML, which can be edited and converted to MIDI.