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Stupid question, whats to stop someone from quantizing it, shit even just barely finetuning it for 1 step and calling it something different, no ones actually c
by cchance 1y ago
Stupid question, whats to stop someone from quantizing it, shit even just barely finetuning it for 1 step and calling it something different, no ones actually checking WTF these models are based on when they're released, especially for the source models, especially if the release is not around the same time of release as the base, i'm 99% sure someone could fine tune SD3.5 a bit and release it today as Frizz 1.0 and people would just take it as a new model using the same layer structure as SD3.5 lol
- SV_BubbleTime 1y agoI forget which, but some HiDream maybe was called out for this when it happened to generate basically the same dude in front of the same archway when compared against flux.
- liuliu 1y agoHiDream is a separate architecture. OTOH, it might be finetuned on FLUX generated data, we will never know.
- doctorpangloss 1y agoHiDream is trained on AI generated outputs.
- SV_BubbleTime 1y agoYea, flux ones.
- elpocko 1y agoNot impossible but you'd gonna have to do a bit more than that. Most people are ignorant, but not all of them. An experienced user can tell what model family was used from a bunch of generated images. Also, no one would believe a nobody who just showed up claiming to have trained a brand new diffusion model.
- liuliu 1y agoThere is a simple method to detect this: taking a model "claimed" to be trained scratch, taking the model you suspected is the original, generate a new model = claimed_model * 0.5 + suspected_model * 0.5. If the claimed_model is trained from scratch, the new model will have 0 capability (basically generate gibberish words or noise). If it is a derivative of the suspected model, it will do something sensible. It is a bit more interesting for diffusion model because you can fine-tune to a different objective, making this investigation harder to do, but not impossible.
- doctorpangloss 1y agoFLUX watermarks its outputs. Additionally, certain prompts will produce nonsensical but specific outputs known only to BFL.
- BoredPositron 1y agoThere is no watermarking in flux. The only artifacts that remain are vae artifacts. The vae is Apache licensed and used by many models now. So you can't identify the specific model.
- deleted 1y ago[deleted]
- doctorpangloss 1y agoI guess you’re in for a surprise if you make a giant application that uses FLUX dev!
- BoredPositron 1y agolmao