Story2Hallucination
clipping-CLIP-to-GAN
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| Story2Hallucination | clipping-CLIP-to-GAN | |
|---|---|---|
| 13 | 1 | |
| 146 | 40 | |
| -0.7% | - | |
| 0.0 | 10.0 | |
| about 3 years ago | over 3 years ago | |
| Jupyter Notebook | Python | |
| GNU General Public License v3.0 only | MIT License |
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Story2Hallucination
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test
(Added Feb. 5, 2021) Story2Hallucination.ipynb - Colaboratory by bonkerfield. Uses BigGAN to generate images/videos. GitHub.
- Skrev in "Stockholm" i en AI-generator. Fick fram denna. Känns rimligt ändå
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Some AI tools I've picked up, and tips.
Third which is pretty new to me is the Story2Hallucination. Which takes text, (say your story) and uses Google Deep Sleep to create a visual using AI to generate images for what the story is describing. And example can be found here.
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Text to Image Generation
I ran some Lovecraft through Story2Hallucination[1] which uses Big Sleep to make videos from text.
The results were quite something - https://m.imgur.com/tfWLsSR
[1] https://github.com/lots-of-things/Story2Hallucination
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[P] Visualizing evolution of Text-to-Image generation algorithms side by side by generating video from song-lyrics (X-LXMERT v/s AlpehImage/Dall-E)
Using Story2Hallucination: https://boredhumans.com/music_videos/Story2Hallucination_withwords.mp4 (made with https://github.com/lots-of-things/Story2Hallucination). The problem with it was that I had no easy way to match the timing of the lyrics on the screen with the real singing. So I then made a new version at https://boredhumans.com/music_videos/Story2Hallucination_nowords.mp4 where I edited the code so it did not show the words at all. But it is somewhat boring to watch.
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Story2Hallucination renders a world of dragons from an AI dungeon game
Here you go: https://github.com/lots-of-things/Story2Hallucination/
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[D] Will machine learning enable a single person to make a blockbuster movie like Avengers: endgame within 6 months?
This is basic attempt at that: https://github.com/lots-of-things/Story2Hallucination . It turns the text you write into a dream-like series of images converted into an animated GIF. It does not look real, but it is a start.
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Story2Hallucination render of my latest meme (check comments for links)
Story2Hallucination github by u/bonkerfield : GITHUB LINK
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Story2Hallucination on another AI Dungeon game and now I have a script to visualize to GIF while playing at the same time.
I've added a slightly simpler notebook to Story2Hallucination that can render GIFs on Google Colab. Note that the story text has to be fairly short or it will make a gigantic unrenderable GIF.
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Short video generated by Story2Hallucination
Credit to https://github.com/lots-of-things/Story2Hallucination/ and onwards - I converted the script to run in regular python, and on windows through WSL+CUDA (Though, the windows tweaks seem to have caused other issues, Will probably have to roll back and dualboot on this device to do more)
clipping-CLIP-to-GAN
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test
(Added Feb. 24, 2021) clipping-CLIP-to-GAN by cloneofsimo. Uses FastGAN to generate images.
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
DALLECLIP
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
CLIP-Style-Transfer - Doing style transfer with linguistic features using OpenAI's CLIP.
deep-music-visualizer - The Deep Visualizer uses BigGAN (Brock et al., 2018) to visualize music.
TediGAN - [CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
DALLE-pytorch - Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
VectorAscent - Generate vector graphics from a textual caption
StyleCLIP - Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)
stylegan2-clip-approach - Navigating StyleGAN2 w latent space using CLIP
stylized-neural-painting - Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.
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.