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Using “underdrawings” for accurate text and numbers

samcollins.blog

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Re: Using “underdrawings” for accurate text and numbers

#14

This hack definitely falls in the “duh, why didn’t I think of that” category of tricks, but glad to now have it next time imagegen comes up short

Even the original stable diffusion app had image 2 image. It just didn’t work as well. I‘m not sure why this is supposed to be novel.

Re: Using “underdrawings” for accurate text and numbers

#16
post #14

This hack definitely falls in the “duh, why didn’t I think of that” category of tricks, but glad to now have it next time imagegen comes up short

Even the original stable diffusion app had image 2 image. It just didn’t work as well. I‘m not sure why this is supposed to be novel.

It's not novel in the sense that nobody knew about img2img. It's novel in the sense that nobody thought of using img2img to solve this problem in this way.

Re: Using “underdrawings” for accurate text and numbers

#19
post #14

This hack definitely falls in the “duh, why didn’t I think of that” category of tricks, but glad to now have it next time imagegen comes up short

Even the original stable diffusion app had image 2 image. It just didn’t work as well. I‘m not sure why this is supposed to be novel.

It’s obviously not a new model capability. But using this well-known, existing capability to solve this particular issue is only obvious after the fact.

It’s a useful trick to have in one’s toolbox, and I’m grateful to the author for sharing it.

Re: Using “underdrawings” for accurate text and numbers

#20

I'm glad that we're making progress towards a deeper understanding of what LLMs are inherently good at and what they're inherently bad at (not to say incapable of doing, but stuff that is less likely to work due to fundamental limitations). There's similarity here with, for example, defining the architecture of software, but letting an LLM write the functions. Or asking an LLM to write you the SQL query for your data…

> There's similarity here with, for example, defining the architecture of software, but letting an LLM write the functions.

Not so long ago, this was how early adopters of LLM coding assistants claimed was the right way to use them in coding tasks: prompt to draft the outline, and then prompt to implement each function. There were even a few posts in HN on blogposts showing off this approach with terms inspired in animation work.

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