deep-daze
CLIP-Style-Transfer
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| deep-daze | CLIP-Style-Transfer | |
|---|---|---|
| 49 | 2 | |
| 4,379 | 13 | |
| - | - | |
| 0.0 | 0.0 | |
| about 2 years ago | almost 3 years ago | |
| Python | Jupyter Notebook | |
| MIT License | MIT License |
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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
CLIP-Style-Transfer
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test
(Added Mar. 8, 2021) CLIP Style Transfer Test.ipynb - Colaboratory by Zasder3. Uses VGG19's conv4_1 to generate images. GitHub. Twitter reference.
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[Project] Learning Artistic Style From Language Features using CLIP
Code: https://github.com/Zasder3/CLIP-Style-Transfer
What are some alternatives?
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
Colab-deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)
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
StyleCLIP - Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)
Story2Hallucination
StyleCLIP - Using CLIP and StyleGAN to generate faces from prompts.
DALLE-pytorch - Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
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.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
clipping-CLIP-to-GAN
starcli - :sparkles: Browse trending GitHub projects from your command line
aphantasia - CLIP + FFT/DWT/RGB = text to image/video