Z-Image Base v3Trained with over 700 images for 30,000 steps, and this is my best looking one yet. A new model will probably dethrone this as I am writing this model though. It was looking good at 20,000 steps but since the z image turbo LoRA took 30k steps to look good I ran this one for the same 30,000 steps, but at a lower learning rate for the last 10k steps to prevent overcooking. Z-Image Base v2Trained with over 700 images for 20,000 stepsThis version should help some with the glans direction issue but it keeps creeping up about 25% of the time wrong head direction. Prompting around that can help either with positive or negative prompts if you have cfg &gt; 1 which you should be running this model at.Please share your work or experiences, otherwise not much incentive for me to keep sharing these. Quid pro quo Clarise.Check out <a target="_blank" rel="ugc" href="http://coachbate.ai">coachbate.ai</a> if you like my work and want to see more.Z-Image Base v1<span style="background-color:rgb(26, 27, 30);color:rgb(193, 194, 197);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">trained with Z-Image base model using 150 images and 25 regularization images using AI Toolkit for 10,000 steps.Need to reduce strength &lt; 1 if using multiple LoRAs just like the Turbo version.Finding great results with LLM writing prompt and sampler res_2s, seed_v2 and seed_v3, and res_multistep. Clownsampler with the bongmath also gave better image than standard KSampler which produced monsters I didn't get as often with the ClownSampler

PENIS LoRA by CoachBate - Z-Image Base

Trained this on 30,000 steps just like I did for my Z Image Turbo LoRA. I saved tons of snapshots along the way if you encounter any issues let me know.

Files with SHA256: ce333f276a96da7cebb2412bc2461b8bd749277a6778389c64797bbb7c957e92