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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. |
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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!
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