LLM Model with no Censorship ?

[BenDes21]

Hi, Im training at this moment a dataset of 100 000 HD images using CogVLM 4 bits for a future SDXL checkpoint. I finished the captions of the half of my dataset but I realised that the captions of the " erotic " part of my dataset ( including semi-nudes or full nudes ) are censored meaning that CogVLM never included words like " nude, naked, boobs, p*ssy etc... " . Would like to know if it's possible to remove this " censorship " and if its not possible with cogvlm, if you know guy's an " open " llm model who can describe all kind of pics with no censorship.

Thanks a lot!

[jhc13]

InternLM-XComposer2 is less censored than CogVLM. The WD Tagger models are also completely uncensored, but they're for tagging and not captioning. Maybe you could combine the tags with the captions.

[BenDes21]

Hi thanks for your answer, you mean combine the banned words + the caption generated by cogvlm ?

[jhc13]

I mean the tags generated by the WD Tagger model and the captions generated by InternLM-XComposer2 or some other model.

[BenDes21]

Thanks, I will mix both