discoart
clip-guided-diffusion
| discoart | clip-guided-diffusion | |
|---|---|---|
| 11 | 5 | |
| 3,838 | 447 | |
| 0.1% | - | |
| 2.8 | 1.8 | |
| almost 1 year ago | over 2 years ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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discoart
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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
clip-guided-diffusion
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[D] Which GAN is Jon Rafman using?
According to his bio he uses "clip-guided diffusion". Never heard of it before, but it appears to not use GANs. Text model and image classifier.
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Someone posted my art on this subreddit and it reached the front page without credit, so I thought I'd post something myself
But yeah this software generates similar but to be fair not nearly as “aesthetic” gifs with a single terminal command and actually 0 photoshop.
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AI-generated image for "ghost town at night"
I used CLIP guided diffusion to generate the image (see OpenAi CLIP).
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Smoggy place. By AI
I used this https://github.com/afiaka87/clip-guided-diffusion. No reference at all only a prompt "Steampunk town"
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Trying out new method of generating pixels from text
I used this method. It consumes about 8gb of vram and takes about 20 minutes to generate 1 image. You can also import it in colab. And if you get an unlucky seed, you have to reset the timer and start crafting your items again.
What are some alternatives?
disco-diffusion
stylegan2-ada - StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation
Simple_Prompt_Generator - Simple prompt generator for Midjourney, DALLe, Stable and Disco Diffusion, and etc.
big-sleep - A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun
stylegan2-projecting-images - Projecting images to latent space with StyleGAN2.
blended-diffusion - Official implementation for "Blended Diffusion for Text-driven Editing of Natural Images" [CVPR 2022]
docarray - Represent, send, store and search multimodal data
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 ;)
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