description: <p>At the start I trained only pixelated censoring for now. I would like to first fine tune dataset/training on understanding the concept of censoring on any object/part of object with natural language. On current version it can only censore couple things and some will censore no matter what.</p><h2 id="how-to-use-rzlz7wvpq"><strong><span style="color:rgb(18, 184, 134)">How to use</span></strong></h2><ul><li><p>Trigger words Censored breasts, Censored crotch, Censored faces, Censored licence plate or Censored background (this one is not very consistent a lot of times does not work at all)</p></li><li><p>It seems to work with natural language combined prompts like Censored faces and breasts, but it could also be a fluke with since it seems to censore some things no matter what</p></li><li><p>Don't use this LoRA on clip or keep it on strength 1</p></li></ul><h2 id="known-issues-6c565cq4c"><strong><span style="color:rgb(250, 82, 82)">Known issues</span></strong></h2><ul><li><p>Exposed breasts, exposed crotch and licence plates seems to be cenored always when they are vissible in the image</p></li><li><p>It does not understand censoring not present in dataset</p></li></ul><p>If you have some ideas for future types of censoring leave them in the comments.</p><p>Enjoy :)</p>
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modelVersions.name: Pixalated ALPHA
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modelVersions.trainedWords: Censored breasts Censored crotch Censored faces Censored licence plate Censored background
name: Flux censored
tags: concept breasts faces censored crotch licence plate