WARNING: Consider this a beta, it still needs a lot of work.<h3 id="triggers-tips">Triggers / Tips</h3>For style : 2d anime style (always use this).For specific words, it was consistently trained on these terms:penis, vagina, vaginal, testicles, penetration, insert, breasts, bouncing, jiggle, anus, anal, buttocks, plopping sound (for both sucking and penetrating), cowgirl, reverse cowgirl, doggy style, missionary, deep throat, thrust (for thrusting hips), blow job, suck, cum, cumming, deep breathing, heavy breathing, moan, grunt, insert, pull out, tentacle,It is trained on sound: moan, grunt, use "plopping" sounds fucking / sucking sounds.Adding other NSFW or motion loras (which are trained on 3d/IRL) will make the generation look less 2d. Just a warning.<h2 id="v0.3">V0.3</h2>edit: added 8100 steps checkpoint, use that one, seems better.Added back in general NSFW data, so vagina, cumming, anal etc. are back in the dataset. I also added in an extra 50 or so images, making the total now: 130 images and 412 videos. It can now do pretty much all the stuff the v0.1 could do but actually stable and working now.I didn't have much time to check the checkpoints but the 5k steps one seems stable enough. Some of the samples seem weird with the vagina if you are prompting insertion. That I think can be fixed with better prompting. Sometimes bj the lips dont attach but rerolling seed or adjusting prompt fixes. I'll see if more training steps will help or not.I'll work on another version to improve the vagina shape and try to get the anus to appear, but I think might take a little longer, I'm getting a little burnt out working on this so fast. And I finally feel the lora is in a good place now. Please post your examples and constructive feedback.Did limited tests with lightx 8 step lora, and it does work with this lora (1str light 0.75-0.8 my lora) but you need to play around with the strength of both loras otherwise it goes off the rails. I recommend to not use them as they effect style quite a bit, let me know good settings and I can test. All samples are generated with 20 steps fully no speed ups. I also recommend the euler beta57 scheduler but simple seems more stable now.<h2 id="v0.2">V0.2</h2>Note: Do not use euler simple otherwise it will be distorted, try euler beta57 (my favorite so far) or some other scheduler/sampler. Strength 1 recommended, maybe 0.75 if you feel distortion too strong but I keep it at 1. Not tested with lightx. I had to go back to the drawing board and start over. I pruned the dataset down to 105 high quality clips involving only hand jobs or blow jobs and truncated them down to 75max frames. I also removed all furry content to remove any confusion for how dicks should be shaped. Then I added in a dataset of uncensored 2d anime style penis images. I also converted my captions from LTX format to H3 format with the help of gemma4 12b. I trained the videos on 672x384 resolution and the images on 1024x1024 resolution. Batch 3 for images, 1 for videos. I adjusted h3_guidance_distillation_scale down from 4 to 3.5.By reducing frames, resolution, adding in images, I went from 20s/it to around 4s/it! And I reached a good enough check point at around 6k steps to conclude this approach is a success! So I will release this now, but understand that the model has drifted away from the 1300 clips base knowledge. Penetration is not working anymore including doggy style. But blow job, hand jobs, and penis shape has improved ten-fold.So the next step is to add back in more data and train again so all the concepts are back.There is a 5.7 and 6.1k steps version, 5.7k has less defined penis shape but seems more like normal size, 6.1k seems to make the penis bigger but better shape. I don't wanna train further because I want to add more data and concepts and start over.<h2 id="v0.1">V0.1</h2>Trained on 1300 clips, so there is a lot of variety beyond just these. Some furry stuff in there but not a ton.Write the prompts in h3 syntax, start with "2d anime style"Works for t2v and i2v, i2v is better you can play with the strength, but I like 1 strength on both. Not tested well with lightx loras. In I2V if the genitals are already in frame it will keep their shape better. I think it does blow jobs especially well for 2d. The base model cannot do blowjobs right for 2d. Not tested with lightx, these are generated with 20 steps on euler simple with comfykitchen optimization only. Everything else is native/kijai's nodes.<h3 id="training">Training</h3>This was trained on musubi fork on 1300 uncensored high quality hentai clips at 832x480 resolution 124 max frames. And it only reached around 2 epochs on this version. I will train more tonight and see if there is improvement. I think its under trained, but at the same time I had to revert to a earlier checkpoint to get the best result. In this state it's usable for certain things, especially with i2v so I wanted to put it out. While I maybe just rework everything.The dataset and captions were originally meant for an even bigger LTX lora, but H3 was released so I decided to pivot this to H3. This is more of a learning experiment for me. I used a few LLM's to do a first pass on the captions, and then by hand brushed up around 1600 captions, I took out 300 dataset pieces due to odd aspect ratios that I didn't wanna deal with.The size of the dataset is my biggest yet, and this is still not finished, consider it a beta/experimental. I'll do another round of training and if nothing improves, I'm going to start over from square one with a smaller dataset and fit everything around H3 instead of LTX.I trained 4 versions before landing on this. H3 is very sensitive. I did 5k steps on V1, then loaded from safetensors and did 2400 steps in V4. Genitals in t2v are still not good enough, but it's picked up the sex positions and motions that go along with them.<h3 id="plans-for-v2.0:">Plans for v2.0: </h3>Reduce dataset down to like 300-500 clips max. Rewrite captions in H3 format. Brush up on terminology ("plopping" is a bit awkward word, and I need to caption sucking and fucking sounds separately).<h3 id="big-thanks">Big Thanks</h3>Thanks to <a target="_blank" rel="ugc" href="https://civarchive.com/user/JonXL">JonXL</a> who helped me test and tinker with pretty much every version, not possible without his help. Also to everyone in discord Sulphur and Banodoco discord with their feedback and tips.

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