Any public data exchange has an element of risk, but the management/priority of that risk relates to your relevant risk matrix/profile.
Any exposed data transverses via a provider, be it mobile or Wi-Fi is pertinent, if you are concerned about provider vulnerabilities and exposure, be it Wi-Fi or mobile, use a VPN and related encryption.
It will get worse with AI joining the fray!
I will repeat what I have proffered before:
If OpenAI stated that it is impossible to train leading AI models without using copyrighted material, then, unpopular as it may be, the preemptive pragmatic solution should be pretty obvious, enter into commercial arrangements for access to said copyrighted material.
Claiming a failure to do so in circumstances where the subsequent commercial product directly competes in a market seems disingenuous at best, given what I assume is the purpose of copyrighted material, that being to set the terms under which public facing material can be used. Particularly if regurgitation of copyrighted material seems to exist in products inadequately developed to prevent such a simple and foreseeable situation.
Yes I am aware of the USA concept of fair use, but the test of that should be manifestly reciprocal, for example would Meta allow what it did to MySpace, hack and allow easy user transfer, or Google with scraping Youtube.
To me it seems Big Tech wants its cake and to eat it, where investor $$$ are used to corrupt open markets and undermine both fundamental democratic State social institutions, manipulate legal processes, and undermine basic consumer rights.
Monopolistic gatekeepers pretending to be otherwise…that the rest of the world does not have equal rigor, and the EU itself at times quivering when it comes to regulating big tech, should be of concern.
By faster I mean in rendering and less demanding on hardware, so I mean ComfyUI seems way more efficient.
In terms of the node based approach what it does allow is fine grained and even custom node control, but as I said, if that is not your thing then ComfyBox provides a ‘best of both worlds’ option.
My advice is to do what I am currently doing, try ComfyUI, see how it compares for your particular use case or workflow, then decide from there. Personally I am keeping both Automatic 1111 and ComfyUI, sharing the key resources between both, while I make up my mind: https://weirdwonderfulai.art/resources/sd-automatic1111-webui-customisation-tips/
You can use a json file or ComfyUI gerated image and just drag it on to the interface to setup a partcular node structure, so in that respect ComfyUI is even quicker than Automatic 1111, but that said both pretty much have that functionality.
I am no expert but have been experimenting with ComfyUI: https://lemmy.zip/post/510712
ComfyUI seems incredibly powerful and efficient, much faster than Automatic 1111. But I have yet to figure out how to get good results using ControlNet, I can make it work, but quality seems to get lost with ComfyUI and I am yet to figure out why, but expect it to be ‘operator error’.
If the node based interface of ComfyUI is intimidating, then it is easy to install ComfyBox, which also lets you easily toggle between a GUI and node interface for ComfyUI: https://github.com/space-nuko/ComfyBox/blob/master/static/screenshot.png
Once I figure out the kinks I expect to transition to ComfyUI as my Stable Diffusion daily driver interface, as it is so much faster, resource efficient and configurable.
Glad you enjoyed it, this is just one part of a series I am doing for our Aussie Halloween projection mapping and new Davy Jones locker prop. Here is the json file: https://codefile.io/f/53LXI9Nrmb
And there is angst re AI hallucinating, seems that also affects HR.