TediGAN
deep-daze
| TediGAN | deep-daze | |
|---|---|---|
| 1 | 49 | |
| 259 | 4,379 | |
| - | - | |
| 3.5 | 0.0 | |
| over 2 years ago | about 2 years ago | |
| Python | Python | |
| MIT License | MIT License |
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TediGAN
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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 Feb. 23, 2021) TediGAN - Colaboratory by weihaox. Uses StyleGAN to generate images. GitHub. I got error "No pre-trained weights found for perceptual model!" when I used the Colab notebook, which was fixed when I made the change mentioned here. After this change, I still got an error in the cell that displays the images, but the results were in the remote file system. Use the "Files" icon on the left to browse the remote file system.
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
What are some alternatives?
awesome-pretrained-stylegan2 - A collection of pre-trained StyleGAN 2 models to download
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
dl-colab-notebooks - Try out deep learning models online on Google Colab
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
Awesome-Text-to-Image - (ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
Story2Hallucination
Awesome-CLIP - Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).
DALLE-pytorch - Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
starcli - :sparkles: Browse trending GitHub projects from your command line
nettu-scheduler - A self-hosted calendar and scheduler server.
feed_forward_vqgan_clip - Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt