But why should they be afraid of these models? These models will not gonna be competitive enough compared to the models of the larger companies, and considering that training cost > inference cost, it will never be competitive in market sense to small-scale train different models from scratch. So these models are never gonna reach the impact of the larger ones in the end.
By finetuning a model (correctly) you will retain its capability while shifting the distribution to what you desire, as I have said before "it is only because of these people that it is worth using models like SD".
