v2 <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">Add a couple images to the dataset and modified a few captions then fine-tuned LoRA by training for 10k steps total. Try training with this base model - it's fast and does a great job. You can also give the image a pass through Z Image Turbo if you prefer its looks better given the difficulty many have reported creating Z Image Base loras. (btw I think my Z Image base LoRAs are just as good as my Qwen ones, sometimes come out better even)<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">v1I'm surprised at how well this model did. Without any LoRA it generates the least monsterous dick I've seen, and with training and the right sampler/scheduler you can get some good D out of this. And it doesn't put the head on backwards nearly as often as some of the other models, but I am always tweaking my dataset + captions, so maybe that helps as well.Not sure if trigger word is always needed, but I changed from using bwc to p3n15 for this one since Klein 9B often thought I wanted a black and white image not a big white cock image.

Files with SHA256: 228e58ac73f6f44ccbc768f7a4deedc353bfff1e5b65baa9a193f68fdc2146d9