parti-pytorch
deep-daze
parti-pytorch | deep-daze | |
---|---|---|
2 | 49 | |
508 | 4,379 | |
- | - | |
5.5 | 0.0 | |
6 months ago | about 2 years ago | |
Python | Python | |
MIT License | MIT License |
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parti-pytorch
- Google Parti open source implementation
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Pathways Autoregressive Text-to-Image Model (Parti)
Give it a few days and lucidrains will have the code up[0].
But in honesty, it is probably how people react. We saw this with Pulse, GPT, and many others. The authors are clear about the limitations but people talk it up too much and others shit on it. There's also a reproducibility crisis in ML (many famous networks, like Swin[1][2][3], can't be reproduced (even worse when reviewers concentrate on benchmarks)). It isn't like many can train a model like this anyways. It gives them benefit of the doubt and maintains good publicity rather than controversial.
Of course, this is extremely bad from an academic perspective and personally I believe you should have your paper revoked if it isn't reproducible. You'd be surprised how many don't track the random seed or measure variance. We have GitHub. You should be able to write training options that get approximately the same results as the paper. Otherwise I don't trust your results.
[0] https://github.com/lucidrains/parti-pytorch
[1] https://github.com/microsoft/Swin-Transformer/issues/183
[2] https://github.com/microsoft/Swin-Transformer/issues/180
[3] https://github.com/microsoft/Swin-Transformer/issues/148
deep-daze
- Besides Gaming - for what can be a 4080 useful?
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Master hacker used “AI via command prompt” to ask what “after death looks like”
it's not nessecary to specify the model with the tool he is using also known as deep daze
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AI image transformation. New drop, Proto-Cubism art watch the magic below.
If you want do the same thing for free yourself: https://github.com/lucidrains/deep-daze
- GitHub - lucidrains/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
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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. 15, 2021) deep-daze Fourier Feature Map - Colaboratory by afiaka87. Uses SIREN to generate images. Reference. Reddit post.
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test
(Added Feb. 5, 2021) Deep Daze - Colaboratory by lucidrains. Uses SIREN to generate images. The GitHub repo has a local machine version. GitHub. Notebook copy by levindabhi.
- AI generated visualization of Meat Grinder lyrics
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Let's play Guess That Chandrian! (Round one) All images are generated by AI using the Chandrian's "Deep Names and Signs" as the prompt. Who does your sleeping mind see? Let me know in the comments!
Thanks! I'll be posting more over the week. I run these on Python. Here's the link for the program https://github.com/lucidrains/deep-daze
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Told an AI to generate Linux. Looks about right
In case you have some damn good gamer-level GPU, you can try this FOSS alternative locally instead: https://github.com/lucidrains/deep-daze
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AI-generated image using "Israel" as a keyword
I'm not sure exactly what they used, but deep-daze can be used to generate similar things that turn out quite cool