My cover for Encoded Designs "Dangerous Space Jail" from a few years ago. Fun stuff, thanks for giving me a reason to post it.

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ロゴ作成
【@ Haze_Encode 】

他2体ちょっと待ってね

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Gm
Revamping the whole project in an exciting way.
Need some feedback for the sound, which now encodes the original art (YES), I can either leave it minimal as in the beginning, or leave a minimal melody as in the second part.
What do you think?

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Ab sofort kann mit dem Seriencode "GENNGER0GE94" Ashs Gengar in erhalten werden! Alle Infos: https://t.co/pyZI7VRZCx

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hey have you seen this new collection from ? they are statues celebrating the ETH merge, fully encoded GIF images onchain.

figured that you as a chain historian might appreciate this.

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Introducing my newest collection: Higher Beings!

These nine 1/1 AI creations were edited and adapted by me with a hidden message encoded in each one.
Check them out here:

https://t.co/HE3DS10sLA

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Ab sofort kann mit dem Seriencode "UM1N0KESH1N" Ashs Dragoran in erhalten werden! Alle Infos: https://t.co/zTbBXUryUW

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You can encode my face pretty damn well into the latent space at about 40 words. But I guess I'm curious now if 20 is possible at the same fidelity.

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{Light Encoded Dragon Society} leds

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Mit dem Seriencode W0RLD22V1CT0RY kann ab sofort ein Victini in erhalten werden. Alle Informationen zu dieser Verteilung findet ihr bei uns auf Bisafans: https://t.co/olIkY9O4Gr

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Looking through old files.

Very, very old animation made in high school back when I started. Animating in a very outdated program not made for character animation.

Old enough that media encoder couldn't identify the file type when trying to convert to an mp4.

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my new AI model trained on 300k anime faces still only trained for 5 hours and the best part is it knows niko because the encoder clip knows niko

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「やが君encode開演が決定… 観覧されたし! ダカールは前哨戦である!」

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Have you wondered about the magic behind generative AI art tools like DALL·E and Midjourney? Seeing the outputs is fun, and learning the algorithms can be even more rewarding. Today we look at 4 popular Machine Learning models — Autoencoder, Transformer, Diffusion Model, and GAN.

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wow that perceptual loss really make my ViT-Autoencoder generates better images and this is only few hours of training

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Finally got home and snagged a couple Encoded Transmissions by . These are so dope man.

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well my vit autoencoder is good reconstructing faces very interesting

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I was not creating solo art for a long time... the reason: I work all the time to fulfill a big vision... the vision of ENCODE. I love this project a lot. I will definitely paint, draw and animate again at some point ❤️

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