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BudgetPix is pitched as an image generator that can use as few as 10% of the tokens

Its creator says the pixel-space model adjusts computation to image content at inference time.

Özgür KaraÖK
1 Source, 6h ago, first seen 6h ago

TLDR

BudgetPix’s creator describes a pixel-space image generator that adapts its computation to image content during inference. They say it can use from 100% down to 10% of the tokens while keeping the prompt and noise the same.

Combined views

6.6K

1 Source, first seen 6h ago

80 likes4 comments54 saves17 reposts

Combined views

6.6K

1 Source, first seen 6h ago

80 likes4 comments54 saves17 reposts

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Featured Source

Sentiment

Positive——Negative

Summary

Not enough discussion yet.

No sentiment analysis available yet.

1 Source

Özgür Kara@ozgurkara991/8 BudgetPix: one model, any compute budget. Our pixel-space image generator adapts computation to image content at inference time. Same prompt, same noise, from 100% down to just 10% of the tokens. → Project Webpage: https://karaozgur.com/BudgetPix6h
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    1 Source

    Özgür Kara@ozgurkara991/8 BudgetPix: one model, any compute budget. Our pixel-space image generator adapts computation to image content at inference time. Same prompt, same noise, from 100% down to just 10% of the tokens. → Project Webpage: https://karaozgur.com/BudgetPix6h
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