Why extend an MIT licensed model's weights (BiRefNet) and release it under a cc-by-nc-4.0 license?
This pertains to the larger open source licensing discussions that have been happening (as I'm sure you've seen too).<p>We've released projects under the MIT license before, most notably <a href="https://github.com/feyninc/chonkie" rel="nofollow">https://github.com/feyninc/chonkie</a>. While we're not trying to directly monetize on this work, credit goes a long way and helps in other operations.<p>Recently, attributed usage is shrinking. To be clear, this is not a shrinkage in actual use of our software, just how many people acknowledge that they rely on it.<p>cc-by-nc is a protection against that. We've been very honest about our work being on top of BiRefNet as we want to extend the original creators the same courtesy. I have no issues if individuals fork/finetune/or otherwise build on top of any open source projects we release, irrespective of license. At minimum, we want acknowledgment if a company chooses to use our software in production.
Yep, nobody wants to adopt models with this license because it opens legal questions most users, whether professional or non-professional, don't want to muddy their work with.
I love seeing this. Background removal is such a core task used in so many systems, I group it in with speech to text in terms of importance.<p>I love seeing maturity getting pushed in this space. Congratulations to you and the team!
This looks great! What are the resolution limits? From the GitHub readme I saw mention of 1024x1024, but I was able to process an image 1920x2880 just fine. I didn't see any really obvious scaling artefacts, so is there something clever happening behind the scenes?
This is awesome, I just bookmarked your tool. Ive been looking for something simple to use, since Its not easy to use the segment anything tool anymore. Thanks!
I was so impressed with remove.bg in Dec 2018; awesome to see the progress in this area, so cool.
very cool! I've been having a fun time porting non-LLM models to iOS/Android (recently had some success with making Bonsai's image generation model run on Android) - have you attempted to run any of the workflows on a mobile device at all? Mind if I try?
Please do try, I would love nothing more!<p>All I ask is you make a PR to <a href="https://github.com/feyninc/nobg" rel="nofollow">https://github.com/feyninc/nobg</a> with your results. We'd love to see what you make, contribute in any way we can, and share onwards.
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Can you please not post AI-generated or AI-edited comments to HN? It's not allowed here - see <a href="https://news.ycombinator.com/newsguidelines.html#generated">https://news.ycombinator.com/newsguidelines.html#generated</a> and <a href="https://news.ycombinator.com/item?id=47340079">https://news.ycombinator.com/item?id=47340079</a>.<p>Of course, it's impossible to know for sure what was LLM processed or not, but some of your posts (like this one) have been getting classified that way.
The 4K cap was a judgement call, we didn't want one source to dominate. The license is cc-by-nc, just added it to the hugging face