My first attempt at a LORA so don't expect too much... but I think the LOAR is quite usable.<h1 id="please-share-your-results-:-)-eodqyt2k7">PLEASE SHARE YOUR RESULTS :-)</h1>... and please leave me a like, if you like :-) it would be important for me to see what is possible with the LORA. Thank you :-)I used the LORA with flux1-dev-fp8 - Euler/Simple - 30 steps on ComfyUI.The optimal LORA strength for me is between 0.7 and 0.8. Just play around a bit.TRIGGER: dild0, penisdild0, d0ubledild0, 4nalp1ug, st00ldil0, vibrat0r, dild0lick1ng, b00tledild0<h3 id="you-may-use-my-workflow-with-sd15-upscale-for-realistic-pictures-fd918iygd">you may use my <a target="_blank" rel="ugc" href="https://civarchive.com/articles/7611">workflow </a>with SD15 Upscale<a target="_blank" rel="ugc" href="https://civarchive.com/api/download/models/884280?type=Training%20Data"> </a>for realistic pictures</h3>I created the LORA with CivitAI-Training. I used about 80 images with a resolution of 1024x1024.<h1 id="ressources:-uewuxpibo">Ressources:</h1><h3 id="sd15-upscale-model-angra-realflex-close-to-real-2dimc5963">SD15 Upscale model <a target="_blank" rel="ugc" href="https://civarchive.com/models/50088/angra-realflex">AngrA RealFlex close to real</a></h3><h3 id="upscaler-4x_nmkd-siax_200k-4fgoo3jmb">Upscaler <a target="_blank" rel="ugc" href="https://civarchive.com/models/147641?modelVersionId=164677">4x_NMKD-Siax_200k</a></h3><h3 id="flux-realism-lora-nsvdqnvtz"><a target="_blank" rel="ugc" href="https://civarchive.com/models/632368?modelVersionId=706973">flux realism lora</a></h3>I would be very happy if you would leave me suggestions for the generation of LORAs in the comments.I have no idea which settings make sense for taring... I have set "something" and would be happy to receive suggestions for optimisation ;-){"engine": "kohya","unetLR": 0.0005,"clipSkip": 1,"loraType": "lora","keepTokens": 0,"networkDim": 50,"numRepeats": 46,"resolution": 1024,"lrScheduler": "cosine_with_restarts","minSnrGamma": 5,"noiseOffset": 0.1,"targetSteps": 9936,"enableBucket": true,"networkAlpha": 16,"optimizerType": "AdamW8Bit","textEncoderLR": 0,"maxTrainEpochs": 8,"shuffleCaption": false,"trainBatchSize": 3,"flipAugmentation": false,"lrSchedulerNumCycles": 3}

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