big-sleep
notebooks
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| big-sleep | notebooks | |
|---|---|---|
| 62 | 1 | |
| 2,548 | 41 | |
| - | - | |
| 0.0 | 5.2 | |
| about 2 years ago | 6 months ago | |
| Python | Jupyter Notebook | |
| MIT License | - |
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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.
notebooks
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test
(Added Feb. 5, 2021) CLIP + TADNE (pytorch) v2 - Colaboratory_v2.ipynb) by nagolinc. Uses TADNE ("This Anime Does Not Exist") to generate images. Instructions and examples. GitHub. Notebook copy_v2.ipynb) by levindabhi
What are some alternatives?
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
aphantasia - CLIP + FFT/DWT/RGB = text to image/video
DALL-E - PyTorch package for the discrete VAE used for DALL·E.
VectorAscent - Generate vector graphics from a textual caption
disco-diffusion
AuViMi - AuViMi stands for audio-visual mirror. The idea is to have CLIP generate its interpretation of what your webcam sees, combined with the words thare are spoken.
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
Colab-deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)
DALLE-pytorch - Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
stylegan2-clip-approach - Navigating StyleGAN2 w latent space using CLIP
Story2Hallucination
clip_biggan