Alphamon,Dorugoramon and Dexdorugoramon from Digimon as three separate models. Included are multiple checkpoints for different base models, though the quality of the 1.5 versions is questionable and they require a decent amount of prompting to produce good results. I would recommend reading my version notes for each model version since they go into detail on what the model can produce.
Description
Flux version of the dexdoru model trained on the same dataset, but with simple sentence captions in addition to tags. A bit inconsistent, especially at lower CFG values (I find 3.5 provides the best results), and negatives definitely help. The core trigger word is "dexdoru", though you may need to be a bit more descriptive of its overall design if you get garbled results. The model seems to work at a weight of 0.8-1, with higher weights being better if you raise the step count to around 40. I have included a prompt that seems to generate the most consistent full body image next to the trigger word if you have any issues.