Local Image Generation

Introducing a way for people to create images locally, easily and cross-platform seems really useful for any number of applications. Cloud services expose us to risks that something like this can eliminate:

• exposure: there are default public galleries and no opt-out for training on some providers, which means the images are shared and used to improve models.

• server retention: aside from caching upload (even sensitive ones) aside from promises that data is stored in segregated locations, “deleted” content is not clear and while its claimed to not be used for training, data retention policies change all the time. Without verification, the current policies basically equate to indefinite storage.

• costs: generating locally is not free (has some costs) but for scale (like design schools, etc.) it’s certainly cheaper

Federated learning can complement this to ensure that the models keep improving for all - based on everyone’s information - but without all the implications above.