https://civitai.red/models/2842199/h3-cxy-kiss-lora?modelVersionId=3424427 cxy_kiss_v3_000002200.safetensors SHA256: A3A754CCBD About this version MiniMax H3 Kiss LoRA V0.3 (Beta) Hi everyone! I'm back with V0.3 of my MiniMax H3 Kiss LoRA! Just like the previous versions, this is still a Beta release. I'm continuing to experiment with different training approaches to see what works best. What's New in V0.3? 1. Expanded Training Dataset I've increased the training dataset from 200 to 300 videos. The newly added videos are generally clearer and higher quality, with clip lengths extended to a little over 6 seconds. 2. AI-Generated Captions (Codex) This is probably the biggest experiment in V0.3. Instead of manually writing captions for the training videos, I used Codex to automate the AI captioning process and completely re-captioned the entire dataset. Previously, my captions were usually quite simple, such as "two people kissing." AI-generated captions are much more detailed, describing the actions, interactions, and other visual details. However, more detailed doesn't necessarily mean more accurate. I'm still not sure whether AI-generated captions actually produce better training results than my own manual captions. That's exactly what I wanted to explore with this version. Training Results & Checkpoints I tested multiple checkpoints throughout the training process. Some earlier checkpoints occasionally stopped the kissing action or failed to follow the prompts, while later checkpoints sometimes produced unnatural repetitive movements. After testing, I personally found the 2000-step and 2200-step checkpoints to be the most usable. So I'm releasing both versions: 2000 Steps 2200 Steps I honestly can't say which one is better. Feel free to try both and see which works best for your workflow. Known Limitations Some of the issues from previous versions are still present, especially stiff tongue movements, unnatural mouth interactions, and repetitive motions. Increasing the dataset size and using more detailed AI captions haven't completely solved these problems. So please consider V0.3 another experimental Beta release, rather than a fully polished model. Final Thoughts Training this kind of motion LoRA for MiniMax H3 has been much more challenging than I originally expected. But I'm still experimenting, learning, and trying different approaches. Thank you all for your continued support, feedback, and encouragement! I hope you enjoy V0.3, and I'd love to hear which checkpoint works better for you!