I really don't understand why it's better to train dreambooth instead of lora, when - larger size -
I really don't understand why it's better to train dreambooth instead of lora, when
- larger size
- can be trained more slowly
- you are bound by the limitations of the basic model
- requires much more resources
While training the Lora
- fewer pictures are enough
- faster (about 15 minutes for an SD 1.5 model, SDXL 1 hour)
- requires fewer resources, can be trained on local machines
- can be used with multiple base models
- the same quality can be achieved for persons as for dreambooth.
So I used to train dreambooth because I don't need it, I can train what I want on Lora, be it style, object, person or concept. In very special cases I would only train basic model.
So why do you train dreambooth instead of lora?
- larger size
- can be trained more slowly
- you are bound by the limitations of the basic model
- requires much more resources
While training the Lora
- fewer pictures are enough
- faster (about 15 minutes for an SD 1.5 model, SDXL 1 hour)
- requires fewer resources, can be trained on local machines
- can be used with multiple base models
- the same quality can be achieved for persons as for dreambooth.
So I used to train dreambooth because I don't need it, I can train what I want on Lora, be it style, object, person or concept. In very special cases I would only train basic model.
So why do you train dreambooth instead of lora?
