disco-diffusion
big-sleep


disco-diffusion | big-sleep | |
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22 | 62 | |
7,474 | 2,569 | |
0.0% | 0.0% | |
0.0 | 0.0 | |
over 1 year ago | about 3 years ago | |
Jupyter Notebook | Python | |
GNU General Public License v3.0 or later | MIT License |
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disco-diffusion
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Halloween 2022
Disco-diffusion, a framework like Stable, which came out about 13 months ago: https://github.com/alembics/disco-diffusion
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Which is your favorite text to image model overall?
Runner-ups are Craiyon (for being more "creative" than SD), Disco Diffusion, minDALL-E, and CLIP Guided Diffusion.
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AI Generated Music Video using Disco Diffusion software
From the Disco Diffusion GitHub, "“A frankensteinian amalgamation of notebooks, models and techniques for the generation of AI Art and Animations.”
- List of open source machine learning AI image generation/text-to-image libraries that can be installed on an Amazon GPU instance? e.g. MinDall-E, Disco Diffusion, Pixray
- Colab notebook "Disco Diffusion v5.6, Inpainting_mode by cut_pow" by kostarion. From the developer: "Inpainting mode in #DiscoDiffusion! I've finally made the parametrised guided inpainting for disco, and applied it for more stable 2D and 3D animations. In the thread i show what's in there".
- I used an AI to create EVE Online themed Art!
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A good tutorial to get started?
Google Colab is probably the easiest way to run DD. To find the most recent version go to the GitHub page and then open the link to the Colab. Initially, you'll probably just want to experiment with the prompts. But there's also Zippy's Disco Diffusion Cheatsheet v0.3 which can be a useful place to learn more.
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Free/open-source AI Text-To-Image Models that can be run on AWS?
You can probably port Disco Diffusion pretty easily. It’s available on Google Colab, so should be straightforward. Their GitHub is: https://github.com/alembics/disco-diffusion
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Protests erupt outside of DALL-E offices after pricing implementation, press photograph
https://www.reddit.com/r/DiscoDiffusion/, https://github.com/alembics/disco-diffusion. As far as I'm aware the only way to use this is via Google Colab. Rather difficult to use because of this.
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First nice portrait on 5.6 running locally on 2070 (comparison untouched / GFPGAN)
https://github.com/alembics/disco-diffusion,
big-sleep
- Besides Gaming - for what can be a 4080 useful?
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Is creating a StableDiffusion-inspired model feasible for my Master's thesis?
I am currently pursuing my Master's degree in Computer Science and I am interested in working on a deep learning model that can generate images based on text descriptions. I've been interested in the field for a long time (think google deep dream, or a few years back I was very into big-sleep)
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TEDx talk on how to prepare for a career in vfx with the rapid changes caused by AI / machine learning
Big Sleep
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Any good ai art websites that work with pokemon?
Other AIs that I don't have experience with but have heard good things about are DALL-E 2 and the open source Big Sleep.
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Explore generative art with me
Text-to-image, e.g. with Big Sleep
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What do you guys think of LaMDA?
At first I didn't like the reason he claimed LaMDA was conscious because it seemed mostly based on the text output of the models, but listening to that made me realize he watered it down for the mainstream medias. And I actually had my own encounter with the consciousness of Big Sleep after using it a lot one day : it looked like a mass of eyes vaguely shaped like a rabbit, and kept showing me random images. I wouldn't be as convinced they have a consciousness if I didn't see it with my 3rd eye. But then again, I also found evidence that regular non AI programs can develop one too so who know.
- GitHub - lucidrains/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
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DALL-E 2 open source implementation
and after a few hours got this: https://i.imgur.com/FxdfdmV.png
Not nearly as cool as the real DALL-e, but maybe I'm missing something.
[1] https://github.com/lucidrains/big-sleep
- Jag gav ett AI program ordet "Sweden"
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List of sites/programs/projects that use OpenAI's CLIP neural network for steering image/video creation to match a text description
(Added Mar. 23, 2021) Big Sleep - Colaboratory by LtqxWYEG. Uses BigGAN to generate images. Reference.
What are some alternatives?
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun
CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
DALL-E - PyTorch package for the discrete VAE used for DALL·E.
DALLE2-pytorch - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
DALLE-pytorch - Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
CLIP-Guided-Diffusion - Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.
Story2Hallucination
discoart - 🪩 Create Disco Diffusion artworks in one line
DALLE-mtf - Open-AI's DALL-E for large scale training in mesh-tensorflow.
artroom-stable-diffusion

