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Nvidia Launches a 100kb text-to-image model called Perfusion
- codemiscreant 3y ago* a several GB model to which a small amount of subject specific training can be performed on archetype, augmenting that large model Doesn’t seem to be any code or runtime examples
- redox99 3y agoVery misleading title
- andrewstuart 3y ago[flagged]
- constantly 3y agoThey can’t, and they aren’t. In any case as you’ve just read in the article the model is very large, why even say this given what you just read?
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- aaaaaaaaa111 3y agoyou got to 18k karma with such clueless inflammatory comments?
- deleted 3y ago[deleted]
- eis 3y agoIt's not a 100kb model. It's 100kb config files for a several GB model. A small trained layer to stick on top of the real model for fine tuning.
- bogtog 3y agoYes, although it is decently interesting that a model can be fine tuned by just tweaking a small number of weights and training for just a few minutes
- eis 3y agoThere is some meat to the story, I agree. But it's not surprising. The fine tuning model of course will be small in file size and not take too long to train because by definition it is applying changes to a small subset of the main model and is trained only on a small amount if input data. You can't use the small tuning model for "Teddies" with a query that has nothing to do with Teddies. You could see these small tuning models as a diff file for the main model. And depending on the user query one can choose an appropriate diff to be applied to improve the result for that specific query. When you train a model with new inputs to fine tune you can save the weights that got changed to a separate file instead of the main file. In other words one can see the small tuning models as selectively to be applied updates/patches.
- brianjking 3y agoIsn't this just another method of a LoRa like what we've already seen in Stable Diffusion?
- echelon 3y agoThis looks like something between fine tuning a top layer and a zero shot approach. This is probably what future voice models will begin to look like as they begin to capture prosody and other fine characteristics in a few hundred kb.
- glass-z13 3y agoVery misleading title
- underdeserver 3y agoMaybe the title should be the "Key-Locked Rank One Editing for Text-to-Image Personalization", per HN guidelines.
- thebruce87m 3y agoYes, you need the pretrained model. BUT: for embedded applications, you could put that into metal and have the 100kb in flash which could open up some possibilities.
- GaggiX 3y ago@dang very misleading title and editorialized Of course there is no 100kb text-to-image model
- Terretta 3y agoFrom the white paper on Arxiv: “This allows runtime-efficient balancing of visual-fidelity and textual-alignment with a single 100KB trained model, which is five orders of magnitude smaller than the current state of the art.” https://arxiv.org/abs/2305.01644 https://arxiv.org/abs/2305.01644 It's one of those sentences that if you know what it means, you know what it means. That said, the title needs the word "personalization" inserted before the word model, e.g.: Nvidia intros 100kb text-to-image personalization model called Perfusion
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