Z-Image Base v3

Trained 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 v2

Trained with over 700 images for 20,000 steps

This 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 > 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 coachbate.ai if you like my work and want to see more.

Z-Image Base v1

trained with Z-Image base model using 150 images and 25 regularization images using AI Toolkit for 10,000 steps.

Need to reduce strength < 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